MJ Jalali’s Publications

@article{pmid37991182,

title = {Unspoken Truths: Mental Health Among Academic Surgeons},

author = {Reagan A Collins and Tianna Herman and Rebecca A Snyder and Krista L Haines and Anne Stey and Tania K Arora and Sunil K Geevarghese and Joseph D Phillips and Diego Vicente and Cornelia L Griggs and Imani E McElroy and Anji E Wall and Tasha M Hughes and Srijan Sen and Jaber Valinejad and Andres Alban and J Shannon Swan and Nathaniel Mercaldo and Mohammad S Jalali and Jagpreet Chhatwal and G Scott Gazelle and Erika Rangel and Chi-Fu Jeffrey Yang and Karen Donelan and Jessica A Gold and Colin P West and Carrie Cunningham},

doi = {10.1097/SLA.0000000000006159},

issn = {1528-1140},

year  = {2024},

date = {2024-03-01},

urldate = {2024-03-01},

journal = {Ann Surg},

volume = {279},

issue = {3},

pages = {429-436},

abstract = {OBJECTIVE: To characterize the current state of mental health within the surgical workforce in the United States (US).nnSUMMARY BACKGROUND DATA: Mental illness and suicide is a growing concern in the medical community; however, the current state is largely unknown.nnMETHODS: Cross-sectional survey of the academic surgery community assessing mental health, medical error, and suicidal ideation. The odds of suicidal ideation adjusting for sex, prior mental health diagnosis, and validated scales screening for depression, anxiety, post-traumatic stress disorder (PTSD), and alcohol use disorder were assessed.nnRESULTS: Of 622 participating medical students, trainees, and surgeons (estimated response rate=11.4-14.0%), 26.1% (141/539) reported a previous mental health diagnosis. 15.9% (83/523) of respondents screened positive for current depression, 18.4% (98/533) for anxiety, 11.0% (56/510) for alcohol use disorder, and 17.3% (36/208) for PTSD. Medical error was associated with depression (30.7% vs. 13.3%, P\<0.001), anxiety (31.6% vs. 16.2%, P=0.001), PTSD (12.8% vs. 5.6%, P=0.018), and hazardous alcohol consumption (18.7% vs. 9.7%, P=0.022). 13.2% (73/551) of respondents reported suicidal ideation in the past year and 9.6% (51/533) in the past two weeks. On adjusted analysis, a previous history of a mental health disorder (aOR: 1.97, 95% CI: 1.04-3.65, P=0.033), and screening positive for depression (aOR: 4.30, 95% CI: 2.21-8.29, P\<0.001) or PTSD (aOR: 3.93, 95% CI: 1.61-9.44, P=0.002) were associated with increased odds of suicidal ideation over the past 12 months.nnCONCLUSIONS: Nearly 1 in 7 respondents reported suicidal ideation in the past year. Mental illness and suicidal ideation are significant problems among the surgical workforce in the US.},

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@article{pmid38191430,

title = {Planning, implementing and governing systems-based co-creation: the DISCOVER framework},

author = {Niamh Smith and Michail Georgiou and Mohammad S Jalali and Sebastien Chastin},

doi = {10.1186/s12961-023-01076-5},

issn = {1478-4505},

year  = {2024},

date = {2024-01-08},

urldate = {2024-01-01},

journal = {Health Res Policy Syst},

volume = {22},

number = {1},

pages = {6},

abstract = {BACKGROUND: Increasingly, public health faces challenges requiring complex, multifaceted and multi-sectoral responses. This calls for systems-based approaches that facilitate the kind of collective and collaborative thinking and working required to address complexity. While the literature on systems thinking, system dynamics and the associated methodologies is extensive, there remains little clear guidance on how to plan, govern and implement participatory systems approaches within a co-creation process.nnMETHODS: We used a three-step process to develop DISCOVER, a framework for implementing, and governing systems-based co-creation: Stage 1: We conducted a literature analysis of key texts to identify well-documented methods and phases for co-creation using a systems approach, as well as areas where gaps existed. Stage 2: We looked for the most appropriate methods and approaches to fill the gaps in the knowledge production chain. Stage 3: We developed the framework, identifying how the different tools and approaches fit together end-to-end, from sampling and recruiting participants all the way through to responding with an action plan.nnRESULTS: We devised DISCOVER to help guide researchers and stakeholders to collectively respond to complex social, health and wider problems. DISCOVER is a strategic research planning and governance framework that provides an actionable, systematic way to conceptualise complex problems and move from evidence to action, using systems approaches and co-creation. In this article, we introduce the eight-step framework and provide an illustrative case study showcasing its potential. The framework integrates complementary approaches and methods from social network analysis, systems thinking and co-creation literature. The eight steps are followed sequentially but can overlap.nnCONCLUSIONS: DISCOVER increases rigour and transparency in system approaches to tackling complex issues going from planning to action. It is being piloted in environmental health research but may be suitable to address other complex challenges and could be incorporated into research proposals and protocols for future projects.},

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@article{pmid35778898,

title = {Equitable Policies Need Equitable Practices: Alcohol- and Substance-Exposed Pregnancy as a Case Study},

author = {Arielle R Deutsch and Mohammad S Jalali and Sarah Stout and Leah Frerichs},

doi = {10.1177/15248399221107605},

issn = {1524-8399},

year  = {2024},

date = {2024-01-01},

urldate = {2022-07-01},

journal = {Health Promot Pract},

volume = {25},

issue = {1},

pages = {17-21},

abstract = {There is clear need for more effective public health policies. Coupled with calls for more effective policies, increasing demand to address public health disparities experienced by systemically marginalized and historically oppressed groups emphasizes the long-standing need for policies that improve public health equity. Such need is highlighted when examining public health issues such as alcohol- and substance-exposed pregnancy (ASEP): Current policies are ineffective at reducing ASEP, and marginalized groups experience disproportionately lower benefits and higher negative consequences as a result of such policies. Powerful strategies to develop more effective policies that can account for the complexity of such issues, such as systems science methods (SSMs), are becoming popular. However, current best practices for such methods often do not emphasize the additional efforts that will be required to develop equitable, not just effective policies. Using ASEP as an example of a crucial complex issue requiring new policy, we suggest additional steps to include in SSM projects for developing more effective policies that will also help stakeholders determine high-equity policies to reduce health disparities. These steps include modeling structural differences experienced by marginalized groups via systemic racism and oppression, incorporating existing cultural and community sources of strength and resilience as key areas for policy development, and evaluating the sustainability of policies as a dimension of efficacy. We also discuss using community-based participatory approaches as a framework for all SSM processes to ensure that policy development itself is grounded in equitable shared decision-making for marginalized individuals.},

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@article{pmid38048504,

title = {Why Similar Policies Resulted In Different COVID-19 Outcomes: How Responsiveness And Culture Influenced Mortality Rates},

author = {Tse Yang Lim and Ran Xu and Nick Ruktanonchai and Omar Saucedo and Lauren M Childs and Mohammad S Jalali and Hazhir Rahmandad and Navid Ghaffarzadegan},

doi = {10.1377/hlthaff.2023.00713},

issn = {1544-5208},

year  = {2023},

date = {2023-12-01},

journal = {Health Aff (Millwood)},

volume = {42},

number = {12},

pages = {1637--1646},

abstract = {In the first two years of the COVID-19 pandemic, per capita mortality varied by more than a hundredfold across countries, despite most implementing similar nonpharmaceutical interventions. Factors such as policy stringency, gross domestic product, and age distribution explain only a small fraction of mortality variation. To address this puzzle, we built on a previously validated pandemic model in which perceived risk altered societal responses affecting SARS-CoV-2 transmission. Using data from more than 100 countries, we found that a key factor explaining heterogeneous death rates was not the policy responses themselves but rather variation in responsiveness. Responsiveness measures how sensitive communities are to evolving mortality risks and how readily they adopt nonpharmaceutical interventions in response, to curb transmission. We further found that responsiveness correlated with two cultural constructs across countries: uncertainty avoidance and power distance. Our findings show that more responsive adoption of similar policies saves many lives, with important implications for the design and implementation of responses to future outbreaks.},

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@article{pmid37434347b,

title = {The association between longitudinal trends in receipt of buprenorphine for opioid use disorder and buprenorphine-waivered providers in the United States},

author = {Erin J Stringfellow and Tse Yang Lim and Huiru Dong and Ziyuan Zhang and Mohammad S Jalali},

doi = {10.1111/add.16291},

issn = {1360-0443},

year  = {2023},

date = {2023-11-01},

urldate = {2023-07-01},

journal = {Addiction},

volume = {118},

number = {11},

pages = {2215-2219},

abstract = {AIMS, DESIGN AND SETTING: We sought to describe longitudinal trends in buprenorphine receipt and buprenorphine-waivered providers in the United States from 2003 to 2021 and measure whether the relationship between the two differed after capacity-building strategies were enacted nationally in 2017. This was a retrospective study of two separate cohorts covering the years 2003-21, testing whether the association between two trends in these cohorts changed comparing 2003 to 2016 and from 2017 to 2021, among buprenorphine providers in the United States, regardless of treatment setting. Patients receiving dispensed buprenorphine at retail pharmacies.nnPARTICIPANTS: All providers who have obtained a waiver to prescribe buprenorphine in the United States, and an estimate of the annual number of patients who had buprenorphine for opioid use disorder (OUD) dispensed to them at a retail pharmacy.nnMEASUREMENTS: We synthesized and summarized data from multiple sources to assess the cumulative number of buprenorphine-waivered providers over time. We used national-level prescription data from IQVIA to estimate annual buprenorphine receipt for OUD.nnFINDINGS: From 2003 to 2021, the number of buprenorphine-waivered providers in the United States increased from fewer than 5000 in the first 2 years of Food and Drug Administration (FDA) approval to more than 114 000 in 2021, while patients receiving buprenorphine products for OUD increased from approximately 19 000 to more than 1.4 million. The strength of association between waivered providers and patients is significantly different before and after 2017 (P \< 0.001). From 2003 to 2016, for each additional provider, there was an average increase of 32.1 [95% confidence interval (CI) = 28.7-35.6] patients, but an increase of only 4.6 (95% CI= 3.5-5.7) patients for each additional provider, beginning in 2017.nnCONCLUSIONS: In the United States, the relationship between the rates of growth in buprenorphine providers and patients became weaker after 2017. While efforts to increase buprenorphine-waivered providers were successful, there was less success in translating that into significant increases in buprenorphine receipt.},

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@article{pmid37344967,

title = {Social vulnerability predictors of drug poisoning mortality: A machine learning analysis in the United States},

author = {Moosa Tatar and Mohammad R Faraji and Katherine Keyes and Fernando A Wilson and Mohammad S Jalali},

doi = {10.1111/ajad.13445},

issn = {1521-0391},

year  = {2023},

date = {2023-11-01},

urldate = {2023-06-21},

journal = {Am J Addict},

volume = {32},

number = {6},

pages = {539-546},

abstract = {BACKGROUND AND OBJECTIVES: Drug poisoning is a leading cause of unintentional deaths in the United States. Despite the growing literature, there are a few recent analyses of a wide range of community-level social vulnerability features contributing to drug poisoning mortality. Current studies on this topic face three limitations: often studying a limited subset of vulnerability features, focusing on small sample sizes, or solely including local data. To address this gap, we conducted a national-level analysis to study the impacts of several social vulnerability features in predicting drug mortality rates in the United States.nnMETHODS: We used machine learning to investigate the role of 16 social vulnerability features in predicting drug mortality rates for US counties in 2014, 2016, and 2018-the most recent available data. We estimated each vulnerability feature\'s gain relative contribution in predicting drug poisoning mortality.nnRESULTS: Among all social vulnerability features, the percentage of noninstitutionalized persons with a disability is the most influential predictor, with a gain relative contribution of 18.6%, followed by population density and the percentage of minority residents (13.3% and 13%, respectively). Percentages of households with no available vehicles, mobile homes, and persons without a high school diploma are the following features with gain relative contributions of 6.3%, 5.8%, and 5.1%, respectively.nnCONCLUSION AND SCIENTIFIC SIGNIFICANCE: We identified social vulnerability features that are most predictive of drug poisoning mortality. Public health interventions and policies targeting vulnerable communities may increase the resilience of these communities and mitigate the overdose death and drug misuse crisis.},

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@article{pmid37921772,

title = {Factors Associated With Abrupt Discontinuation of Long-Term High-Dose Opioid Treatment},

author = {Carolina Vivas-Valencia and Huiru Dong and Erin J Stringfellow and W Alton Russell and Jake R Morgan and Mina Tadrous and Mohammad S Jalali},

doi = {10.1001/jamanetworkopen.2023.41416},

issn = {2574-3805},

year  = {2023},

date = {2023-11-01},

journal = {JAMA Netw Open},

volume = {6},

number = {11},

pages = {e2341416},

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pubstate = {published},

tppubtype = {article}

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@article{pmid37782860,

title = {How Funding Policy Maintains Structural Inequity Within Indigenous Community-Based Organizations},

author = {Arielle R Deutsch and Leah Frerichs and Zeynep Hasgul and Foster Murphey and Addie K Coleman and Annie Y Bachand and Arlana Bettelyoun and Paul Forney and Gene Tyon and Mohammad S Jalali},

doi = {10.1377/hlthaff.2023.00483},

issn = {1544-5208},

year  = {2023},

date = {2023-10-01},

journal = {Health Aff (Millwood)},

volume = {42},

number = {10},

pages = {1411--1419},

abstract = {Despite efforts to increase investment in Indigenous health and well-being in the United States, disparities remain. The way in which health-promoting organizations are funded is one key mechanism driving the systemic, long-term health disparities experienced by Indigenous people in the US. Using Indigenous-led community-based organizations (ICBOs) that provide psychosocial care as a case study, we highlight multiple ways in which policies that regulate the external funding that ICBOs depend on must change to promote equity and allow the organizations to flourish and address unmet psychosocial needs for Indigenous community members. We use a system dynamics approach to discuss how "capability traps" arise from a misfit between external funding regulations and organizations' needs for sustainability and effective care provision. We provide suggestions for reforming funding policies that focus on improving ICBO sustainability.},

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@article{pmid37196759,

title = {Increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric HIV in Zimbabwe: a modeling analysis},

author = {Melike Yildirim and Karen A Webb and Andrea L Ciaranello and Alyssa K Amick and Angela Mushavi and Anesu Chimwaza and Anneke Claypool and Tendayi Murape and Nicole C McCann and Clare F Flanagan and Mohammad S Jalali},

doi = {10.1016/j.ijid.2023.05.013},

issn = {1878-3511},

year  = {2023},

date = {2023-09-01},

urldate = {2023-09-01},

journal = {Int J Infect Dis},

volume = {134},

pages = {31-38},

abstract = {OBJECTIVES: Point-of-care (POC) devices for infant HIV testing provide timely result-return and increase ART initiation. We aimed to optimally locate POC devices to increase 30-day ART initiation in Matabeleland South, Zimbabwe.nnMETHODS: We developed an optimization model to identify locations for limited POC devices at health facilities, maximizing the number of infants who receive HIV test results and initiate ART within 30 days of testing. We compared location-optimization model results to non-model-based decision heuristics, which are more practical and less data intensive. Heuristics assign POC devices based on demand, test positivity, laboratory result-return probability, and POC machine functionality.nnRESULTS: With current placement of 11 existing POC machines, 37% of all tested infants with HIV were projected to receive results, 35% to initiate ART within 30 days of testing. With optimal placement of existing machines, 46% were projected to receive results and 44% to initiate ART within 30 days, retaining 3 machines in current locations, moving 8 to new facilities. Relocation based on the highest POC device functionality would be the best-performing heuristic decision (44% receiving results and 42% initiating ART withing 30 days), although it still would not perform as well as the optimization-based approach.nnCONCLUSION: Optimal and ad-hoc heuristic relocation of limited POC machines would increase timely result-return and ART initiation, without further, often costly, interventions. Location-optimization can enhance decision-making regarding placement of medical technologies for HIV care.},

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@article{pmid37660758,

title = {Dynamics of colorectal cancer screening in low and middle-income countries: A modeling analysis from Thailand},

author = {Peeradon Wongseree and Zeynep Hasgul and Borwornsom Leerapan and Cherdsak Iramaneerat and Pochamana Phisalprapa and Mohammad S Jalali},

doi = {10.1016/j.ypmed.2023.107694},

issn = {1096-0260},

year  = {2023},

date = {2023-09-01},

journal = {Prev Med},

pages = {107694},

abstract = {BACKGROUND: Low and middle-income countries face constraints for early colorectal cancer (CRC) detection, including restricted access to care and low colonoscopy capacity. Considering these constraints, we studied strategies for increasing access to early CRC detection and reducing CRC progression and mortality rates in Thailand.nnMETHODS: We developed a system dynamics model to simulate CRC death and progression trends. We analyzed the impacts of increased access to screening via fecal immunochemical test and colonoscopy, improving access to CRC diagnosis among symptomatic individuals, and their combination.nnRESULTS: Projecting the status quo (2023-2032), deaths per 100 K people increase from 87.5 to 115.4, and CRC progressions per 100 K people rise from 131.8 to 159.8. In 2032, improved screening access prevents 2.5 CRC deaths and 2.5 progressions per 100 K people, with cumulative prevented 7 K deaths and 9 K progressions, respectively. Improved symptom evaluation access prevents 7.5 CRC deaths per 100 K with no effect on progression, totaling 35 K saved lives. A combined approach prevents 9.3 deaths and 1.8 progressions per 100 K, or 41 K and 7 K cumulatively. The combined strategy prevents most deaths; however, there is a tradeoff: It prevents fewer CRC progressions than screening access improvement. Increasing the current annual colonoscopy capacity (200K) to sufficient capacity (681 K), the combined strategy achieves the best results, preventing 15.0 CRC deaths and 10.3 CRC progressions per 100 K people, or 54 K and 30 K cumulatively.nnCONCLUSION: Until colonoscopy capacity increases, enhanced screening and symptom evaluation are needed simultaneously to curb CRC deaths, albeit not the best strategy for CRC progression prevention.},

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@article{pmid37753604,

title = {Understanding the dynamics emerging from the interplay among poor mental wellbeing, energy balance-related behaviors, and obesity prevalence in adolescents: A simulation-based study},

author = {Anaely Aguiar and Furkan \"{O}nal and Gaironeesa Hendricks and Laurence Blanchard and Eduard Romanenko and Anne-Siri Fismen and Emmanuel Nwosu and Sondre Herstad and Natalie Savona and Janetta Harbron and C\'{e}cile Knai and Oddrun Samdal and Harry Rutter and Nanna Lien and Mohammad S Jalali and Birgit Kopainsky},

doi = {10.1111/obr.13628},

issn = {1467-789X},

year  = {2023},

date = {2023-09-01},

journal = {Obes Rev},

volume = {24 Suppl 2},

pages = {e13628},

abstract = {Both obesity and poor mental wellbeing have a high prevalence in European youth. Adolescents in six countries identified mental wellbeing factors as main drivers of youth obesity through systems mapping. This study sought to (1) explore the dynamics of the interplay between poor mental wellbeing, energy balance-related behaviors, and adolescent overweight and obesity prevalence and (2) test the effect of intervention point scenarios to reduce adolescent obesity. Drawing on the youth-generated systems maps and a literature synthesis, we built a simulation model that represents the links from major feedback pathways for poor mental wellbeing to changes in dietary, physical activity, and sleep behaviors. The model was calibrated using survey data from Norway, expert input, and literature and shows a good fit between simulated behavior and available statistical data. The simulations indicate that adolescent mental wellbeing is harmed by socio-cultural pressures and stressors, which trigger reinforcing feedback mechanisms related to emotional/binge eating, lack of motivation to engage in physical activity, and sleep difficulty. Targeting a combination of intervention points that support a 25% reduction of pressure on body image and psychosocial stress showed potentially favorable effects on mental wellbeing-doubling on average for boys and girls and decreasing obesity prevalence by over 4%.},

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@article{pmid36799870,

title = {Long-Term Effects of Increasing Buprenorphine Treatment Seeking, Duration, and Capacity on Opioid Overdose Fatalities: A Model-Based Analysis},

author = {Erin J Stringfellow and Tse Yang Lim and Catherine DiGennaro and Ziyuan Zhang and Pritika Paramasivam and Benjamin Bearnot and Keith Humphreys and Mohammad S Jalali},

doi = {10.1097/ADM.0000000000001153},

issn = {1935-3227},

year  = {2023},

date = {2023-08-01},

urldate = {2023-02-01},

journal = {J Addict Med},

volume = {17},

issue = {4},

pages = {439-446},

abstract = {OBJECTIVES: Because buprenorphine treatment of opioid use disorder reduces opioid overdose deaths (OODs), expanding access to care is an important policy and clinical care goal. Policymakers must choose within capacity limitations whether to expand the number of people with opioid use disorder who are treated or extend duration for existing patients. This inherent tradeoff could be made less acute with expanded buprenorphine treatment capacity.



METHODS: To inform such decisions, we used a validated simulation model to project the effects of increasing buprenorphine treatment-seeking, average episode duration, and capacity (patients per provider) on OODs in the United States from 2023 to 2033, varying the start time to assess the effects of implementation delays.



RESULTS: Results show that increasing treatment duration alone could cost lives in the short term by reducing capacity for new admissions yet save more lives in the long term than accomplished by only increasing treatment seeking. Increasing provider capacity had negligible effects. The most effective 2-policy combination was increasing capacity and duration simultaneously, which would reduce OODs up to 18.6% over a decade. By 2033, the greatest reduction in OODs (≥20%) was achieved when capacity was doubled and average duration reached 2 years, but only if the policy changes started in 2023. Delaying even a year diminishes the benefits. Treatment-seeking increases were equally beneficial whether they began in 2023 or 2025 but of only marginal benefit beyond what capacity and duration achieved.



CONCLUSIONS: If policymakers only target 2 policies to reduce OODs, they should be to increase capacity and duration, enacted quickly and aggressively.},

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@article{pmid37204803,

title = {Cost-effectiveness of Increasing Buprenorphine Treatment Initiation, Duration, and Capacity Among Individuals Who Use Opioids},

author = {Anneke L Claypool and Catherine DiGennaro and W Alton Russell and Melike F Yildirim and Alan F Zhang and Zuri Reid and Erin J Stringfellow and Benjamin Bearnot and Bruce R Schackman and Keith Humphreys and Mohammad S Jalali},

doi = {10.1001/jamahealthforum.2023.1080},

issn = {2689-0186},

year  = {2023},

date = {2023-05-05},

urldate = {2023-05-01},

journal = {JAMA Health Forum},

volume = {4},

number = {5},

pages = {e231080},

abstract = {IMPORTANCE: Buprenorphine is an effective and cost-effective medication to treat opioid use disorder (OUD), but is not readily available to many people with OUD in the US. The current cost-effectiveness literature does not consider interventions that concurrently increase buprenorphine initiation, duration, and capacity.nnOBJECTIVE: To conduct a cost-effectiveness analysis and compare interventions associated with increased buprenorphine treatment initiation, duration, and capacity.nnDESIGN AND SETTING: This study modeled the effects of 5 interventions individually and in combination using SOURCE, a recent system dynamics model of prescription opioid and illicit opioid use, treatment, and remission, calibrated to US data from 1999 to 2020. The analysis was run during a 12-year time horizon from 2021 to 2032, with lifetime follow-up. A probabilistic sensitivity analysis on intervention effectiveness and costs was conducted. Analyses were performed from April 2021 through March 2023. Modeled participants included people with opioid misuse and OUD in the US.nnINTERVENTIONS: Interventions included emergency department buprenorphine initiation, contingency management, psychotherapy, telehealth, and expansion of hub-and-spoke narcotic treatment programs, individually and in combination.nnMAIN OUTCOMES AND MEASURES: Total national opioid overdose deaths, quality-adjusted life years (QALYs) gained, and costs from the societal and health care perspective.nnRESULTS: Projections showed that contingency management expansion would avert 3530 opioid overdose deaths over 12 years, more than any other single-intervention strategy. Interventions that increased buprenorphine treatment duration initially were associated with an increased number of opioid overdose deaths in the absence of expanded treatment capacity. With an incremental cost- effectiveness ratio of $19 381 per QALY gained (2021 USD), the strategy that expanded contingency management, hub-and-spoke training, emergency department initiation, and telehealth was the preferred strategy for any willingness-to-pay threshold from $20 000 to $200 000/QALY gained, as it was associated with increased treatment duration and capacity simultaneously.nnCONCLUSION AND RELEVANCE: This modeling analysis simulated the effects of implementing several intervention strategies across the buprenorphine cascade of care and found that strategies that were concurrently associated with increased buprenorphine treatment initiation, duration, and capacity were cost-effective.},

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@article{pmid37105689,

title = {Monitoring multidimensional aspects of quality of life after cancer immunotherapy: protocol for the international multicentre, observational QUALITOP cohort study},

author = {Petra C Vinke and Marc Combalia and Geertruida H de Bock and Cl\'{e}mence Leyrat and Anne Mea Spanjaart and Stephane Dalle and Maria Gomes da Silva and Aurore Fouda Essongue and Aur\'{e}lie Rabier and Myriam Pannard and Mohammad S Jalali and Amal Elgammal and Mike Papazoglou and Mohand-Said Hacid and Catherine Rioufol and Marie-Jos\'{e} Kersten and Martijn Gh van Oijen and Erick Suazo-Zepeda and Ananya Malhotra and Emmanuel Coquery and Am\'{e}lie Anota and Marie Preau and Mathieu Fauvernier and Elsa Coz and Susana Puig and Delphine Maucort-Boulch},

doi = {10.1136/bmjopen-2022-069090},

issn = {2044-6055},

year  = {2023},

date = {2023-04-27},

urldate = {2023-04-01},

journal = {BMJ Open},

volume = {13},

number = {4},

pages = {e069090},

abstract = {INTRODUCTION: Immunotherapies, such as immune checkpoint inhibitors and chimeric antigen receptor T-cell therapy, have significantly improved the clinical outcomes of various malignancies. However, they also cause immune-related adverse events (irAEs) that can be challenging to predict, prevent and treat. Although they likely interact with health-related quality of life (HRQoL), most existing evidence on this topic has come from clinical trials with eligibility criteria that may not accurately reflect real-world settings. The QUALITOP project will study HRQoL in relation to irAEs and its determinants in a real-world study of patients treated with immunotherapy.nnMETHODS AND ANALYSIS: This international, observational, multicentre study takes place in France, the Netherlands, Portugal and Spain. We aim to include about 1800 adult patients with cancer treated with immunotherapy in a specifically recruited prospective cohort, and to additionally obtain data from historical real-world databases (ie, databiobanks) and medical administrative registries (ie, national cancer registries) in which relevant data regarding other adult patients with cancer treated with immunotherapy has already been stored. In the prospective cohort, clinical health status, HRQoL and psychosocial well-being will be monitored until 18 months after treatment initiation through questionnaires (at baseline and 3, 6, 12 and 18 months thereafter), and by data extraction from electronic patient files. Using advanced statistical methods, including causal inference methods, artificial intelligence algorithms and simulation modelling, we will use data from the QUALITOP cohort to improve the understanding of the complex relationships among treatment regimens, patient characteristics, irAEs and HRQoL.nnETHICS AND DISSEMINATION: All aspects of the QUALITOP project will be conducted in accordance with the Declaration of Helsinki and with ethical approval from a suitable local ethics committee, and all patients will provide signed informed consent. In addition to standard dissemination efforts in the scientific literature, the data and outcomes will contribute to a smart digital platform and medical data lake. These will (1) help increase knowledge about the impact of immunotherapy, (2) facilitate improved interactions between patients, clinicians and the general population and (3) contribute to personalised medicine.nnTRIAL REGISTRATION NUMBER: NCT05626764.},

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@article{pmid37020497,

title = {Enumerating contributions of fentanyls and other factors to the unprecedented 2020 rise in opioid overdose deaths: model-based analysis},

author = {Erin J Stringfellow and Tse Yang Lim and Catherine DiGennaro and Zeynep Hasgul and Mohammad S Jalali},

doi = {10.1093/pnasnexus/pgad064},

issn = {2752-6542},

year  = {2023},

date = {2023-04-01},

journal = {PNAS Nexus},

volume = {2},

number = {4},

pages = {pgad064},

abstract = {In 2020, the ongoing US opioid overdose crisis collided with the emerging COVID-19 pandemic. Opioid overdose deaths (OODs) rose an unprecedented 38%, due to a combination of COVID-19 disrupting services essential to people who use drugs, continued increases in fentanyls in the illicit drug supply, and other factors. How much did these factors contribute to increased OODs? We used a validated simulation model of the opioid overdose crisis, SOURCE, to estimate excess OODs in 2020 and the distribution of that excess attributable to various factors. Factors affecting OODs that could have been disrupted by COVID-19, and for which data were available, included opioid prescribing, naloxone distribution, and receipt of medications for opioid use disorder. We also accounted for fentanyls' presence in the heroin supply. We estimated a total of 18,276 potential excess OODs, including 1,792 lives saved due to increases in buprenorphine receipt and naloxone distribution and decreases in opioid prescribing. Critically, growth in fentanyls drove 43% (7,879) of the excess OODs. A further 8% is attributable to first-ever declines in methadone maintenance treatment and extended-released injectable naltrexone treatment, most likely due to COVID-19-related disruptions. In all, 49% of potential excess OODs remain unexplained, at least some of which are likely due to additional COVID-19-related disruptions. While the confluence of various COVID-19-related factors could have been responsible for more than half of excess OODs, fentanyls continued to play a singular role in excess OODs, highlighting the urgency of mitigating their effects on overdoses.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid36350592,

title = {Racial and Ethnic Disparities in Buprenorphine Treatment Duration in the US},

author = {Huiru Dong and Erin J Stringfellow and W Alton Russell and Mohammad S Jalali},

doi = {10.1001/jamapsychiatry.2022.3673},

issn = {2168-6238},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {JAMA Psychiatry},

volume = {80},

issue = {1},

pages = {93-95},

abstract = {Buprenorphine is used to treat opioid use disorder (OUD) and reduce overdose risk.1 Duration of buprenorphine treatment is a measure of quality of care; longer retention is associated with superior clinical outcomes. Racial and ethnic minority patients are more likely to discontinue buprenorphine treatment earlier than White patients. To our knowledge, no nationally representative studies have examined buprenorphine treatment duration over time across racial and ethnic groups. This information is needed to close the racial and ethnic gap in treatment retention for OUD.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid38107548,

title = {Grounding alcohol simulation models in empirical and theoretical alcohol research: a model for a Northern Plains population in the United States},

author = {Arielle R Deutsch and Edward Chau and Nikki Motabar and Mohammad S Jalali},

doi = {10.1002/sdr.1738},

issn = {0883-7066},

year  = {2023},

date = {2023-01-01},

journal = {Syst Dyn Rev},

volume = {39},

number = {3},

pages = {207--238},

abstract = {The growing number of systems science simulation models for alcohol use (AU) are often disconnected from AU models within empirical and theoretical alcohol research. As AU prevention/intervention efforts are typically grounded in alcohol research, this disconnect may reduce policy testing results, impact, and implementation. We developed a simulation model guided by AU research (accounting for the multiple AU stages defined by AU behavior and risk for harm and diverse transitions between stages). Simulated projections were compared to historical data to evaluate model accuracy and potential policy leverage points for prevention and intervention at risky drinking (RD) and alcohol use disorder (AUD) stages. Results indicated prevention provided the greatest RD and AUD reduction; however, focusing exclusively on AUD prevention may not be effective for long-term change, given the continued increase in RD. This study makes a case for the strength and importance of aligning subject-based research with systems science simulation models.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35467475,

title = {Opioid overdose decedent characteristics during COVID-19},

author = {Gian-Gabriel P Garcia and Erin J Stringfellow and Catherine DiGennaro and Nicole Poellinger and Jaden Wood and Sarah Wakeman and Mohammad S Jalali},

doi = {10.1080/07853890.2022.2067350},

issn = {1365-2060},

year  = {2022},

date = {2022-12-01},

journal = {Ann Med},

volume = {54},

number = {1},

pages = {1081--1088},

abstract = {INTRODUCTION: Alongside the emergence of COVID-19 in the United States, several reports highlighted increasing rates of opioid overdose from preliminary data. Yet, little is known about how state-level opioid overdose death trends and decedent characteristics have evolved using official death records.



METHODS: We requested vital statistics data from 2018-2020 from all 50 states and the District of Columbia, receiving data from 14 states. Accounting for COVID-19, we excluded states without data past March 2020, leaving 11 states for analysis. We defined state-specific analysis periods from March 13 until the latest reliable date in each state's data, then conducted retrospective year-over-year analyses comparing opioid-related overdose death rates, the presence of specific opioids and other psychoactive substances, and decedents' sex, race, and age from 2020 to 2019 and 2019 to 2018 within each state's analysis period. We assessed whether significant changes in 2020 vs. 2019 in opioid overdose deaths were new or continuing trends using joinpoint regression.



RESULTS: We found significant increases in opioid-related overdose death rates in Alaska (55.3%), Colorado (80.2%), Indiana (40.1%), Nevada (50.0%), North Carolina (30.5%), Rhode Island (29.6%), and Virginia (66.4%) - all continuing previous trends. Increases in synthetic opioid-involved overdose deaths were new in Alaska (136.5%), Indiana (27.6%), and Virginia (16.5%), whilst continuing in Colorado (44.4%), Connecticut (3.6%), Nevada (75.0%), and North Carolina (14.6%). We found new increases in male decedents in Indiana (12.0%), and continuing increases in Colorado (15.2%). We also found continuing increases in Black non-Hispanic decedents in Massachusetts (43.9%) and Virginia (33.7%).



CONCLUSION: This research analyzes vital statistics data from 11 states, highlighting new trends in opioid overdose deaths and decedent characteristics across 10 of these states. These findings can inform state-specific public health interventions and highlight the need for timely and comprehensive fatal opioid overdose data, especially amidst concurrent crises such as COVID-19. Key messages:Our results highlight shifts in opioid overdose trends during the COVID-19 pandemic that cannot otherwise be extracted from aggregated or provisional opioid overdose death data such as those published by the Centres for Disease Control and Prevention.Fentanyl and other synthetic opioids continue to drive increases in fatal overdoses, making it difficult to separate these trends from any possible COVID-19-related factors.Black non-Hispanic people are making up an increasing proportion of opioid overdose deaths in some states.State-specific limitations and variations in data-reporting for vital statistics make it challenging to acquire and analyse up-to-date data on opioid-related overdose deaths. More timely and comprehensive data are needed to generate broader insights on the nature of the intersecting opioid and COVID-19 crises.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35537918,

title = {Evaluating disparities in prescribing of naloxone after emergency department treatment of opioid overdose},

author = {Scott G Weiner and Aleta D Carroll and Nicholas M Brisbon and Claudia P Rodriguez and Charles Covahey and Erin J Stringfellow and Catherine DiGennaro and Mohammad S Jalali and Sarah E Wakeman},

doi = {10.1016/j.jsat.2022.108785},

issn = {1873-6483},

year  = {2022},

date = {2022-08-01},

urldate = {2022-04-01},

journal = {J Subst Abuse Treat},

volume = {139},

pages = {108785},

abstract = {INTRODUCTION: Patients who initially survive opioid-related overdose are at high risk for subsequent mortality. Our health system aimed to evaluate the presence of disparities in prescribing naloxone following opioid overdose.



METHODS: This was a retrospective cohort study of patients seen in our health system, which comprises two academic centers and eight community hospitals. Eligible patients had at least one visit to any of our hospital's emergency departments (EDs) with a diagnosis code indicating opioid-related overdose between May 1, 2018, and April 30, 2021. The primary outcome measure was prescription of nasal naloxone after at least one visit for opioid-related overdose during the study period.



RESULTS: The health system had 1348 unique patients who presented 1593 times to at least one of the EDs with opioid overdose. Of included patients, 580 (43.2%) received one or more prescriptions for naloxone. The majority (68.9%, n = 925) were male. For race/ethnicity, 74.5% (1000) were Non-Hispanic White, 8.0% (n = 108) were Non-Hispanic Black, and 13.0% (n = 175) were Hispanic/Latinx. Compared with the reference age group of 16-24 years, only those 65+ were less likely to receive naloxone (adjusted odds ratio [aOR] 0.41, 95% confidence interval [CI] 0.20-0.84). The study found no difference for gender (male aOR 1.23, 95% CI 0.97-1.57 compared to female). Hispanic/Latinx patients were more likely to receive a prescription when compared to Non-Hispanic White patients (aOR 1.72, 95% CI 1.22-2.44), while no difference occurred between Non-Hispanic Black compared to Non-Hispanic White patients (aOR 1.31, 95% CI 0.87-1.98).



CONCLUSIONS: Naloxone prescribing after overdose in our system was suboptimal, with fewer than half of patients with an overdose diagnosis code receiving this lifesaving and evidence-based intervention. Patients who were Hispanic/Latinx were more likely to receive naloxone than other race and ethnicity groups, and patients who were older were less likely to receive it. Health systems need ongoing equity-informed implementation of programs to expand access to naloxone to all patients at risk.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35640366,

title = {Impacts of alcohol and opioid polysubstance use on road safety: Systematic review},

author = {Elizabeth Beaulieu and Rebecca B Naumann and Genevieve Deveaux and Lindsay Wang and Erin J Stringfellow and Kristen Hassmiller Lich and Mohammad S Jalali},

doi = {10.1016/j.aap.2022.106713},

issn = {1879-2057},

year  = {2022},

date = {2022-08-01},

urldate = {2022-05-01},

journal = {Accid Anal Prev},

volume = {173},

pages = {106713},

abstract = {Connections between substance use, impairment, and road safety have been frequently researched. Yet, little is known about how simultaneous use of opioids and alcohol affects road safety outcomes, which is an increasingly critical link within the current landscape of the substance use environment and public health. Lack of this understanding is partly due to testing complications and data limitations. We define polysubstance use here as alcohol and opioids consumed together or within a small-time window such that both are present in the system. This polysubstance use is on the rise and produces greater health risks than when the substances are consumed separately. Given the increasing rate of opioid use, high prevalence of alcohol use, and dangers of polysubstance use, we aim to synthesize literature on the prevalence and impact of this polysubstance on road safety-related outcomes. We performed a systematic review of studies published between 1974 and 2020 that examined opioid and alcohol use exposures and road safety-related outcomes. Out of 644 initial findings, 20 studies were included in this review. Outcomes included motor vehicle crash injuries, deaths, or driver culpability; suspected driving under the influence; and simulated driving performance. Evidence from multiple sources showed a significant rise, approximately 1% to 7%, in the prevalence of opioids among fatally injured drivers in the U.S. from 1995 to 2016. Information published on the simultaneous presence of opioids and alcohol in people involved in crashes was scarce. The limited available findings point toward an overlap where up to 30% of opioid-positive people involved in a crash were also positive for alcohol. Studies also suggest a possibly elevated risk presented by this polysubstance use relative to the substances used alone, though the majority of identified studies did not estimate this association. The synthesized research indicates that alcohol and opioid use is not uncommon and may be increasing among people involved in adverse driving events. More research and better data are needed to improve estimates of association with road traffic-related outcomes, potentially improving substance testing in current surveillance systems or using linked data sets and other novel data sources to improve estimates.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35298735,

title = {Health-related quality of life in cancer immunotherapy: a systematic perspective, using causal loop diagrams},

author = {Elizabeth Beaulieu and Anne Spanjaart and Ashley Roes and Bernard Rachet and St\'{e}phane Dalle and Marie Jos\'{e} Kersten and Delphine Maucort-Boulch and Mohammad S Jalali},

doi = {10.1007/s11136-022-03110-5},

issn = {1573-2649},

year  = {2022},

date = {2022-08-01},

urldate = {2022-03-01},

journal = {Qual Life Res},

volume = {31},

issue = {8},

pages = {2357-2366},

abstract = {PURPOSE: System science offers a unique set of tools, including causal loop diagrams (CLDs), for stakeholders to better grasp the complexity of factors surrounding quality of life. Because the health-related quality of life (HRQoL) of cancer immunotherapy patients exists within an intricate system affected by and affecting many factors across multiple dimensions, the development of a systems-level model can provide a powerful framework to aid the understanding of this complexity. We developed a CLD for HRQoL of cancer immunotherapy patients.



METHODS: We first applied a literature-based approach to construct a CLD for patients following immunotherapy. We then iteratively reviewed and enhanced the CLD through interviews with subject matter experts.



RESULTS: Based on the reviewed literature and subject matter expert input, we produced a CLD representing the system surrounding cancer immunotherapy patients' HRQoL. Several feedback loops are identified that span clinical experiences, oncology teams' perceptions about immunotherapy, social support structures, and further research and development in cancer immunotherapy, in addition to other components. The CLD enables visualization of thought experiments regarding how a change anywhere in the system can ultimately worsen or improve patients' HRQoL.



CONCLUSION: The CLD illustrates the valuable contribution of a systems perspective to quality-of-life research. This systems-based qualitative representation gives insight on strategies to inhibit harmful effects, enhance beneficial effects, and inherent tradeoffs within the system. The CLD identifies gaps in the literature and offers a communication tool for diverse stakeholders. Our research method provides an example for studying the complexities of quality of life in other health domains.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35660221,

title = {Identifying key risk factors for premature discontinuation of opioid use disorder treatment in the United States: A predictive modeling study},

author = {Celia Stafford and Wesley J Marrero and Rebecca B Naumann and Kristen Hassmiller Lich and Sarah Wakeman and Mohammad S Jalali},

doi = {10.1016/j.drugalcdep.2022.109507},

issn = {1879-0046},

year  = {2022},

date = {2022-08-01},

urldate = {2022-05-01},

journal = {Drug Alcohol Depend},

volume = {237},

pages = {109507},

abstract = {BACKGROUND: Treatment for opioid use disorder (OUD), particularly medication for OUD, is highly effective; however, retention in OUD treatment is a significant challenge. We aimed to identify key risk factors for premature exit from OUD treatment.



METHODS: We analyzed 2,381,902 cross-sectional treatment episodes for individuals in the U.S., discharged between Jan/1/2015 and Dec/31/2019. We developed classification models (Random Forest, Classification and Regression Trees (CART), Bagged CART, and Boosted CART), and analyzed 31 potential risk factors for premature treatment exit, including treatment characteristics, substance use history, socioeconomic status, and demographic characteristics. We stratified our analysis based on length of stay in treatment and service setting. Models were compared using cross-validation and the receiver operating characteristic area under the curve (ROC-AUC).



RESULTS: Random Forest outperformed other methods (ROC-AUC: 74%). The most influential risk factors included characteristics of service setting, geographic region, primary source of payment, and referral source. Race, ethnicity, and sex had far weaker predictive impacts. When stratified by treatment setting and length of stay, employment status and delay (days waited) to enter treatment were among the most influential factors. Their importance increased as treatment duration decreased. Notably, importance of referral source increased as the treatment duration increased. Finally, age and age of first use were important factors for lengths of stay of 2-7 days and in detox treatment settings.



CONCLUSIONS: The key factors of OUD treatment attrition identified in this analysis should be more closely explored (e.g., in causal studies) to inform targeted policies and interventions to improve models of care.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35639699,

title = {Modeling the evolution of the US opioid crisis for national policy development},

author = {Tse Yang Lim and Erin J Stringfellow and Celia A Stafford and Catherine DiGennaro and Jack B Homer and Wayne Wakeland and Sara L Eggers and Reza Kazemi and Lukas Glos and Emily G Ewing and Calvin B Bannister and Keith Humphreys and Douglas C Throckmorton and Mohammad S Jalali},

doi = {10.1073/pnas.2115714119},

issn = {1091-6490},

year  = {2022},

date = {2022-06-01},

urldate = {2022-06-01},

journal = {Proc Natl Acad Sci U S A},

volume = {119},

number = {23},

pages = {e2115714119},

abstract = {Significance: The opioid crisis remains one of the greatest public health challenges in the United States. The crisis is complex, with long delays and feedbacks between policy actions and their effects, which creates a risk of unintended consequences and complicates policy decision-making. We present SOURCE (Simulation of Opioid Use, Response, Consequences, and Effects), an operationally detailed national-level model of the opioid crisis, intended to enhance understanding of the crisis and guide policy decisions. Drawing on multiple data sources, SOURCE replicates how risks of opioid misuse initiation and overdose have evolved over time in response to behavioral and other changes and suggests how those risks may evolve in the future, providing a basis for projecting and analyzing potential policy impacts and solutions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35749492,

title = {Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis},

author = {Erin J Stringfellow and Tse Yang Lim and Keith Humphreys and Catherine DiGennaro and Celia Stafford and Elizabeth Beaulieu and Jack Homer and Wayne Wakeland and Benjamin Bearnot and R Kathryn McHugh and John Kelly and Lukas Glos and Sara L Eggers and Reza Kazemi and Mohammad S Jalali},

doi = {10.1126/sciadv.abm8147},

issn = {2375-2548},

year  = {2022},

date = {2022-06-01},

journal = {Sci Adv},

volume = {8},

number = {25},

pages = {eabm8147},

abstract = {Opioid overdose deaths remain a major public health crisis. We used a system dynamics simulation model of the U.S. opioid-using population age 12 and older to explore the impacts of 11 strategies on the prevalence of opioid use disorder (OUD) and fatal opioid overdoses from 2022 to 2032. These strategies spanned opioid misuse and OUD prevention, buprenorphine capacity, recovery support, and overdose harm reduction. By 2032, three strategies saved the most lives: (i) reducing the risk of opioid overdose involving fentanyl use, which may be achieved through fentanyl-focused harm reduction services; (ii) increasing naloxone distribution to people who use opioids; and (iii) recovery support for people in remission, which reduced deaths by reducing OUD. Increasing buprenorphine providers' capacity to treat more people decreased fatal overdose, but only in the short term. Our analysis provides insight into the kinds of multifaceted approaches needed to save lives.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35627818,

title = {Identifying and Characterizing Medical Advice-Seekers on a Social Media Forum for Buprenorphine Use},

author = {Gian-Gabriel P Garcia and Ramin Dehghanpoor and Erin J Stringfellow and Marichi Gupta and Jillian Rochelle and Elizabeth Mason and Toyya A Pujol and Mohammad S Jalali},

doi = {10.3390/ijerph19106281},

issn = {1660-4601},

year  = {2022},

date = {2022-05-01},

journal = {Int J Environ Res Public Health},

volume = {19},

number = {10},

abstract = {BACKGROUND: Online communities such as Reddit can provide social support for those recovering from opioid use disorder. However, it is unclear whether and how advice-seekers differ from other users. Our research addresses this gap by identifying key characteristics of r/suboxone users that predict advice-seeking behavior.



OBJECTIVE: The objective of this analysis is to identify and describe advice-seekers on Reddit for buprenorphine-naloxone use using text annotation, social network analysis, and statistical modeling techniques.



METHODS: We collected 5258 posts and their comments from Reddit between 2014 and 2019. Among 202 posts which met our inclusion criteria, we annotated each post to determine which were advice-seeking ( = 137) or not advice-seeking ( = 65). We also annotated each posting user's buprenorphine-naloxone use status (current versus formerly taking and, if currently taking, whether inducting or tapering versus other stages) and quantified their connectedness using social network analysis. To analyze the relationship between Reddit users' advice-seeking and their social connectivity and medication use status, we constructed four models which varied in their inclusion of explanatory variables for social connectedness and buprenorphine use status.



RESULTS: The stepwise model containing "total degree" ( = 0.002), "using: inducting/tapering" ( \< 0.001), and "using: other" ( = 0.01) outperformed all other models. Reddit users with fewer connections and who are currently using buprenorphine-naloxone are more likely to seek advice than those who are well-connected and no longer using the medication, respectively. Importantly, advice-seeking behavior is most accurately predicted using a combination of network characteristics and medication use status, rather than either factor alone.



CONCLUSIONS: Our findings provide insights for the clinical care of people recovering from opioid use disorder and the nature of online medical advice-seeking overall. Clinicians should be especially attentive (e.g., through frequent follow-up) to patients who are inducting or tapering buprenorphine-naloxone or signal limited social support.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tatar2021,

title = {Impact of Florida's prescription drug monitoring program on drug- related fatal vehicle crashes: a difference-in-differences approach.},

author = {Moosa Tatar and Mohammad S. Jalali and Hyo Jung Tak and Li-Wu Chen and Ozgur M Araz and Fernando A Wilson},

url = {https://pubmed.ncbi.nlm.nih.gov/34162702/},

doi = {10.1136/injuryprev-2020-044113},

issn = {1475-5785},

year  = {2022},

date = {2022-04-01},

urldate = {2021-06-01},

journal = {Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention},

volume = {28},

issue = {2},

pages = {105-107},

abstract = {Prescription drug use has soared in the USA within the last two decades. Prescription drugs can impair motor skills essential for the safe operation of a motor vehicle, and therefore can affect traffic safety. As one of the epicentres of the opioid epidemic, Florida has been struck by high opioid misuse and overdose rates, and has concurrently suffered major threats to traffic disruptions safety caused by driving under the influence of drugs. To prevent prescription opioid misuse in Florida, Prescription Drug Monitoring Programs (PDMPs) were implemented in September 2011. To examine the impact of Florida's implementation of a mandatory PDMP on drug-related MVCs occurring on public roads. We employed a difference-in-differences approach to estimate the difference in prescription drug-related fatal crashes in Florida associated with its 2011 PDMP implementation relative to those in Georgia, which did not use PDMPs during the same period (2009-2013). The analyses were conducted in 2020. In Florida, there was a significant decline in drug-related vehicle crashes during the 22 months post-PDMP. PDMP implementation was associated with approximately two (-2.21; 95% CI -4.04 to -0.37; p\<0.05) fewer prescribed opioid-related fatal crashes every month, indicating 25% reduction in the number of monthly crashes. We conducted sensitivity analyses to investigate the impact of PDMP implementation on central nervous system depressants and stimulants as well as cocaine and marijuana-related fatal crashes but found no robust significant reductions. The implementation of PDMPs in Florida provided important benefits for traffic safety, reducing the rates of prescription opioid-related vehicle crashes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35482312,

title = {Racial Disparities in Opioid Overdose Deaths in Massachusetts},

author = {Che-Yi Liao and Gian-Gabriel P Garcia and Catherine DiGennaro and Mohammad S Jalali},

doi = {10.1001/jamanetworkopen.2022.9081},

issn = {2574-3805},

year  = {2022},

date = {2022-04-01},

journal = {JAMA Netw Open},

volume = {5},

number = {4},

pages = {e229081},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Li2022,

title = {Readiness of healthcare providers for e-hospitals: a cross-sectional analysis in China before the COVID-19 period.},

author = {Peiyi Li and Yunmei Luo and Xuexin Yu and Elizabeth Mason and Zhi Zeng and Jin Wen and Weimin Li and Mohammad S. Jalali},

url = {https://pubmed.ncbi.nlm.nih.gov/35190431/},

doi = {10.1136/bmjopen-2021-054169},

issn = {2044-6055},

year  = {2022},

date = {2022-02-01},

journal = {BMJ open},

volume = {12},

issue = {2},

pages = {e054169},

abstract = {The growth and development of smartphones and eHealth technologies have enabled the potential for extended care hospitals (e-hospitals) in China in order to facilitate the success of a primary healthcare centre (PHC)-based integrated delivery model. Although the adoption of e-hospitals is essential, few studies have directed their research towards understanding the perspectives of healthcare providers. This study aims to identify the current readiness of healthcare providers to adopt e-hospital technologies, determine the factors influencing this adoption and describe the perceived facilitators and barriers in regard to working at e-hospitals. A cross-sectional study conducted in Sichuan, China, between June and September 2019. Information was collected from healthcare providers who have more than 3 years of work experience from a tertiary hospital, secondary hospital, PHCs and private hospital. 2298 medical professionals were included in this study. This study included a self-administered questionnaire that was used to assess participants' sociodemographic characteristics, online medical practices, willingness to use e-hospitals and perceived facilitators/barriers to working at e-hospitals. Multivariate regression analysis was performed in order to evaluate the independent factors associated with e-hospital work. Overall, 86.3% had a positive response towards working at e-hospitals. Age (p\<0.05), familiarity with e-hospitals (p\<0.001) and prior work practices in online healthcare settings (p\<0.001) were associated with participants' readiness to work at e-hospitals. Gender, education level, professional level, the tier of their affiliated hospital and workload were not statistically associated. Healthcare providers who had positive attitudes towards e-hospitals considered improved efficiency, patient satisfaction, communication among physicians, increased reputation and income, and alleviated workload to be advantages of adoption. The participants who were unwilling to work at e-hospitals perceived lack of time, insufficient authenticity/reliability and underdeveloped policies as potential barriers. Improving operative proficiency in electronic devices, accommodating to work schedules, increasing familiarity with e-hospitals and regulating practices will improve the readiness of healthcare providers to work at e-hospitals.},

keywords = {},

pubstate = {epublish},

tppubtype = {article}

}

@article{Cerda2021,

title = {A Systematic Review of Simulation Models to Track and Address the Opioid Crisis.},

author = {Magdalena Cerd\'{a} and Mohammad S. Jalali and Ava D. Hamilton and Catherine DiGennaro and Ayaz Hyder and Julian Santaella-Tenorio and Navdep Kaur and Christina Wang and Katherine M. Keyes},

url = {https://pubmed.ncbi.nlm.nih.gov/34791110/},

doi = {10.1093/epirev/mxab013},

issn = {1478-6729},

year  = {2022},

date = {2022-01-14},

urldate = {2021-11-01},

journal = {Epidemiologic reviews},

volume = {43},

issue = {1},

pages = {147-165},

abstract = {The opioid overdose crisis is driven by an intersecting set of social, structural, and economic forces. Simulation models offer a tool to help us understand and address this complex, dynamic, and nonlinear social phenomenon. We conducted a systematic review of the literature on simulation models of opioid use and overdose up to September 2019. We extracted modeling types, target populations, interventions, and findings. Further, we created a database of model parameters used for model calibration, and evaluated study transparency and reproducibility. Of the 1,398 articles screened, we identified 88 eligible articles. The most frequent types of models were compartmental (36%), Markov (20%), system dynamics (16%), and Agent-Based models (16%). Over a third evaluated intervention cost-effectiveness (40%), and another third (39%) focused on treatment and harm reduction services for people with opioid use disorder (OUD). More than half (61%) discussed calibrating their models to empirical data, and 31% discussed validation approaches used in their modeling process. From the 63 studies that provided model parameters, we extracted the data sources on opioid use, OUD, OUD treatment, cessation/relapse, emergency medical services, and mortality parameters. This database offers a tool that future modelers can use to identify potential model inputs and evaluate comparability of their models to prior work. Future applications of simulation models to this field should actively tackle key methodological challenges, including the potential for bias in the choice of parameter inputs, investment in model calibration and validation, and transparency in the assumptions and mechanics of simulation models to facilitate reproducibility.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jalali2021f,

title = {Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy over Half a Century.},

author = {Mohammad S. Jalali and Catherine DiGennaro and Abby Guitar and Karen Lew and Hazhir Rahmandad},

url = {https://pubmed.ncbi.nlm.nih.gov/34505122/},

doi = {10.1093/epirev/mxab006},

issn = {1478-6729},

year  = {2022},

date = {2022-01-14},

urldate = {2021-09-01},

journal = {Epidemiologic reviews},

volume = {43},

issue = {1},

pages = {166-175},

abstract = {Simulation models are increasingly used to inform epidemiological studies and health policy, yet there is great variation in their transparency and reproducibility. This review provides an overview of applications of simulation models in health policy and epidemiology, analyzes the use of best reporting practices, and assesses the reproducibility of the models using predefined, categorical criteria. 1,613 studies were identified and analyzed. We found an exponential growth in the number of studies over the past half century, with the highest growth in dynamic modeling approaches. The largest subset of studies is focused on disease policy models (70%), within which pathological conditions, viral diseases, neoplasms, and cardiovascular diseases account for one-third of the articles. Nearly half of the studies do not report the details of their models. We also provide in depth analysis of modeling best practices, reporting quality and reproducibility for a subset of 100 articles (50 highly cited and 50 random). Only seven of 26 in-depth evaluation criteria were satisfied by more than 80% of samples. We identify areas for increased application of simulation modeling and opportunities to enhance the rigor and documentation in the conduct and reporting of simulation modeling in epidemiology and health policy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Decouttere2021,

title = {Insights into vaccine hesitancy from systems thinking, Rwanda.},

author = {Catherine Decouttere and Stany Banzimana and Pr{a}l Davidsen and Carla Van Riet and Corinne Vandermeulen and Elizabeth Mason and Mohammad S. Jalali and Nico Vandaele},

url = {https://pubmed.ncbi.nlm.nih.gov/34737471/},

doi = {10.2471/BLT.20.285258},

issn = {1564-0604},

year  = {2021},

date = {2021-11-01},

journal = {Bulletin of the World Health Organization},

volume = {99},

pages = {783--794D},

abstract = {To investigate vaccine hesitancy leading to underimmunization and a measles outbreak in Rwanda and to develop a conceptual, community-level model of behavioural factors. Local immunization systems in two Rwandan communities (one recently experienced a measles outbreak) were explored using systems thinking, human-centred design and behavioural frameworks. Data were collected between 2018 and 2020 from: discussions with 11 vaccination service providers (i.e. hospital and health centre staff); interviews with 161 children's caregivers at health centres; and nine validation interviews with health centre staff. Factors influencing vaccine hesitancy were categorized using the 3Cs framework: confidence, complacency and convenience. A conceptual model of vaccine hesitancy mechanisms with feedback loops was developed. A comparison of service providers' and caregivers' perspectives in both rural and peri-urban settings showed that similar factors strengthened vaccine uptake: (i) high trust in vaccines and service providers based on personal relationships with health centre staff; (ii) the connecting role of community health workers; and (iii) a strong sense of community. Factors identified as increasing vaccine hesitancy (e.g. service accessibility and inadequate follow-up) differed between service providers and caregivers and between settings. The conceptual model could be used to explain drivers of the recent measles outbreak and to guide interventions designed to increase vaccine uptake. The application of behavioural frameworks and systems thinking revealed vaccine hesitancy mechanisms in Rwandan communities that demonstrate the interrelationship between immunization services and caregivers' vaccination behaviour. Confidence-building social structures and context-dependent challenges that affect vaccine uptake were also identified.},

keywords = {},

pubstate = {ppublish},

tppubtype = {article}

}

@article{Xu2021a,

title = {Weather, air pollution, and SARS-CoV-2 transmission: a global analysis.},

author = {Ran Xu and Hazhir Rahmandad and Marichi Gupta and Catherine DiGennaro and Navid Ghaffarzadegan and Heresh Amini and Mohammad S. Jalali},

url = {https://pubmed.ncbi.nlm.nih.gov/34627471/},

doi = {10.1016/S2542-5196(21)00202-3},

issn = {2542-5196},

year  = {2021},

date = {2021-10-01},

journal = {The Lancet. Planetary health},

volume = {5},

number = {10},

pages = {e671--e680},

abstract = {Understanding how environmental factors affect SARS-CoV-2 transmission could inform global containment efforts. Despite high scientific and public interest and multiple research reports, there is currently no consensus on the association of environmental factors and SARS-CoV-2 transmission. To address this research gap, we aimed to assess the relative risk of transmission associated with weather conditions and ambient air pollution. In this global analysis, we adjusted for the delay between infection and detection, estimated the daily reproduction number at 3739 global locations during the COVID-19 pandemic up until late April, 2020, and investigated its associations with daily local weather conditions (ie, temperature, humidity, precipitation, snowfall, moon illumination, sunlight hours, ultraviolet index, cloud cover, wind speed and direction, and pressure data) and ambient air pollution (ie, PM , nitrogen dioxide, ozone, and sulphur dioxide). To account for other confounding factors, we included both location-specific fixed effects and trends, controlling for between-location differences and heterogeneities in locations' responses over time. We built confidence in our estimations through synthetic data, robustness, and sensitivity analyses, and provided year-round global projections for weather-related risk of global SARS-CoV-2 transmission. Our dataset included data collected between Dec 12, 2019, and April 22, 2020. Several weather variables and ambient air pollution were associated with the spread of SARS-CoV-2 across 3739 global locations. We found a moderate, negative relationship between the estimated reproduction number and temperatures warmer than 25°C (a decrease of 3·7% [95% CI 1·9-5·4] per additional degree), a U-shaped relationship with outdoor ultraviolet exposure, and weaker positive associations with air pressure, wind speed, precipitation, diurnal temperature, sulphur dioxide, and ozone. Results were robust to multiple assumptions. Independent research building on our estimates provides strong support for the resulting projections across nations. Warmer temperature and moderate outdoor ultraviolet exposure result in a slight reduction in the transmission of SARS-CoV-2; however, changes in weather or air pollution alone are not enough to contain the spread of SARS-CoV-2 with other factors having greater effects. None.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Leerapan2021,

title = {How systems respond to policies: intended and unintended consequences of COVID-19 lockdown policies in Thailand.},

author = {Borwornsom Leerapan and Phanuwich Kaewkamjornchai and Rifat Atun and Mohammad S. Jalali},

url = {https://pubmed.ncbi.nlm.nih.gov/34435199/},

doi = {10.1093/heapol/czab103},

issn = {1460-2237},

year  = {2021},

date = {2021-08-01},

journal = {Health policy and planning},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DiGennaro2021,

title = {Changes in characteristics of drug overdose death trends during the COVID-19 pandemic.},

author = {Catherine DiGennaro and Gian-Gabriel Garcia and Erin Stringfellow and Sarah Wakeman and Mohammad S. Jalali},

url = {https://pubmed.ncbi.nlm.nih.gov/34325184/},

doi = {10.1016/j.drugpo.2021.103392},

issn = {1873-4758},

year  = {2021},

date = {2021-07-01},

journal = {The International journal on drug policy},

volume = {98},

pages = {103392},

abstract = {Reports analyzing drug overdose (OD) mortality data during the COVID-19 pandemic are limited. Outcomes across states are heterogenous, necessitating assessments of associations between COVID-19 and OD deaths on a state-by-state level. This report aims to analyze trends in OD deaths in Massachusetts during COVID-19. Analyzing 3,924 death records, we characterize opioid-, cocaine-, and amphetamine-involved OD mortality and substance co-presence trends from March 24-November 8 in 2020 as compared to 2018 and 2019. OD deaths involving amphetamines increased by 85% from 2019 to 2020 (61 vs. 113; P\<0.001) but were steady from 2018 to 2019. Heroin's presence continued to decrease (341 in 2018, 247 in 2019, 157 in 2020; P\<0.001); however, fentanyl was present in more than 85% of all OD deaths across all periods. Among OD deaths, alcohol involvement consistently increased, present in 250 deaths in 2018, 299 in 2019 (P=0.02), and 350 in 2020 (P=0.04). In 2019, 78% of OD decedents were White and 7% were Black, versus 73% and 10% in 2020 (P=0.02). Increased deaths involving stimulants, alcohol, and fentanyl reflect concerning trends in the era of COVID-19. Rising OD death rates among Black residents underscore that interventions focused on racial equity are necessary.},

keywords = {},

pubstate = {ppublish},

tppubtype = {article}

}

@article{Toumi2020,

title = {Trends in Thyroid Surgery and Guideline-Concordant Care in the United States, 2007-2018.},

author = {Asmae Toumi and Catherine DiGennaro and Vahab Vahdat and Mohammad S. Jalali and G. Scott Gazelle and Jagpreet Chhatwal and Rachel R Kelz and Carrie C. Lubitz},

url = {https://pubmed.ncbi.nlm.nih.gov/33280499/},

doi = {10.1089/thy.2020.0643},

issn = {1557-9077},

year  = {2021},

date = {2021-06-18},

urldate = {2021-06-18},

journal = {Thyroid : official journal of the American Thyroid Association},

volume = {31},

number = {6},

pages = {941-949},

abstract = {\textbf{Background:} The American Thyroid Association (ATA) published the 2015 Management Guidelines for Patients with Thyroid Nodules and Differentiated Thyroid Cancer recommending a shift to less aggressive diagnostic, surgical, and post-operative treatment strategies. At the same time and perhaps related to the new guidelines, there has been a shift to outpatient thyroid surgery. The aim of the current study was to assess physician adherence to these recommendations by identifying and quantifying temporal trends in the rates and indications for thyroid procedures in the inpatient and outpatient settings. \textbf{Methods:} Using the IBM® MarketScan® Commercial database, we identified employer-insured patients in the United States who underwent outpatient and inpatient thyroid surgery from 2007 to 2018. Thyroid surgery was classified as total thyroidectomy (TT), thyroid lobectomy (TL) or a completion thyroidectomy. The surgical indication diagnosis was also determined and classified as either benign or malignant thyroid disease. We compared outpatient and inpatient trends in surgery between benign and malignant thyroid disease before and after the release of the 2015 ATA guidelines. \textbf{Results:} A total of 220,088 patients who underwent thyroid surgery were included in the analysis. Approximately 80% of thyroid lobectomies (TL) were performed in the outpatient setting vs. 70% of total thyroidectomies (TT). Longitudinal analysis showed a statistically significant changepoint for TT proportion occurring in November 2015. The proportion of TT as compared to TL decreased from 80% in September 2015 to 39% by December 2018. For thyroid cancer, there is an increasing trend in performing TL over TT, increasing from 17% in 2015 to 28% by the end of 2018. \textbf{Conclusions:} There was a significant changepoint occurring in November 2015 in the operative and management trends for benign and malignant thyroid disease.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jalali2021e,

title = {The need for a prediction model assessment framework - Authors' reply.},

author = {Mohammad S. Jalali and Catherine DiGennaro and Devi Sridhar},

url = {https://pubmed.ncbi.nlm.nih.gov/33581048/},

doi = {10.1016/S2214-109X(21)00021-8},

issn = {2214-109X},

year  = {2021},

date = {2021-04-01},

journal = {The Lancet. Global health},

volume = {9},

number = {4},

pages = {e405},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jalali2020c,

title = {Data Needs in Opioid Systems Modeling: Challenges and Future Directions.},

author = {Mohammad S. Jalali and Emily Ewing and Calvin B Bannister and Lukas Glos and Sara Eggers and Tse Yang Lim and Erin Stringfellow and Celia Stafford and Rosalie Liccardo Pacula and Hawre Jalal and Reza Kazemi-Tabriz},

url = {https://pubmed.ncbi.nlm.nih.gov/33272714/},

doi = {10.1016/j.amepre.2020.08.017},

issn = {1873-2607},

year  = {2021},

date = {2021-02-01},

journal = {American journal of preventive medicine},

volume = {60},

number = {2},

pages = {e95-e105},

abstract = {The opioid crisis is a pervasive public health threat in the U.S. Simulation modeling approaches that integrate a systems perspective are used to understand the complexity of this crisis and analyze what policy interventions can best address it. However, limitations in currently available data sources can hamper the quantification of these models. To understand and discuss data needs and challenges for opioid systems modeling, a meeting of federal partners, modeling teams, and data experts was held at the U.S. Food and Drug Administration in April 2019. This paper synthesizes the meeting discussions and interprets them in the context of ongoing simulation modeling work. The current landscape of national-level quantitative data sources of potential use in opioid systems modeling is identified, and significant issues within data sources are discussed. Major recommendations on how to improve data sources are to: maintain close collaboration among modeling teams, enhance data collection to better fit modeling needs, focus on bridging the most crucial information gaps, engage in direct and regular interaction between modelers and data experts, and gain a clearer definition of policymakers' research questions and policy goals. This article provides an important step in identifying and discussing data challenges in opioid research generally and opioid systems modeling specifically. It also identifies opportunities for systems modelers and government agencies to improve opioid systems models.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Beaulieu2021,

title = {Economic Evaluation in Opioid Modeling: Systematic Review.},

author = {Elizabeth Beaulieu and Catherine DiGennaro and Erin Stringfellow and Ava Connolly and Ava Hamilton and Ayaz Hyder and Magdalena Cerd\'{a} and Katherine M Keyes and Mohammad S. Jalali},

url = {https://pubmed.ncbi.nlm.nih.gov/33518022/},

doi = {10.1016/j.jval.2020.07.013},

issn = {1524-4733},

year  = {2021},

date = {2021-02-01},

urldate = {2021-02-01},

journal = {Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research},

volume = {24},

number = {2},

pages = {158--173},

abstract = {The rapid increase in opioid overdose and opioid use disorder (OUD) over the past 20 years is a complex problem associated with significant economic costs for healthcare systems and society. Simulation models have been developed to capture and identify ways to manage this complexity and to evaluate the potential costs of different strategies to reduce overdoses and OUD. A review of simulation-based economic evaluations is warranted to fully characterize this set of literature. A systematic review of simulation-based economic evaluation (SBEE) studies in opioid research was initiated by searches in PubMed, EMBASE, and EbscoHOST. Extraction of a predefined set of items and a quality assessment were performed for each study. The screening process resulted in 23 SBEE studies ranging by year of publication from 1999 to 2019. Methodological quality of the cost analyses was moderately high. The most frequently evaluated strategies were methadone and buprenorphine maintenance treatments; the only harm reduction strategy explored was naloxone distribution. These strategies were consistently found to be cost-effective, especially naloxone distribution and methadone maintenance. Prevention strategies were limited to abuse-deterrent opioid formulations. Less than half (39%) of analyses adopted a societal perspective in their estimation of costs and effects from an opioid-related intervention. Prevention strategies and studies' accounting for patient and physician preference, changing costs, or result stratification were largely ignored in these SBEEs. The review shows consistently favorable cost analysis findings for naloxone distribution strategies and opioid agonist treatments and identifies major gaps for future research.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DIGENNARO2021103392,

title = {Changes in Characteristics of Drug Overdose Death Trends during the COVID-19 Pandemic},

author = {Catherine DiGennaro and Gian-Gabriel P. Garcia and Erin J. Stringfellow and Sarah Wakeman and Mohammad S. Jalali},

url = {https://www.sciencedirect.com/science/article/pii/S0955395921002978},

doi = {https://doi.org/10.1016/j.drugpo.2021.103392},

issn = {0955-3959},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Drug Policy},

pages = {103392},

abstract = {Background 

: Reports analyzing drug overdose (OD) mortality data during the COVID-19 pandemic are limited. Outcomes across states are heterogenous, necessitating assessments of associations between COVID-19 and OD deaths on a state-by-state level. This report aims to analyze trends in OD deaths in Massachusetts during COVID-19. 

Methods 

: Analyzing 3,924 death records, we characterize opioid-, cocaine-, and amphetamine-involved OD mortality and substance co-presence trends from March 24-November 8 in 2020 as compared to 2018 and 2019. 

Results : OD deaths involving amphetamines increased by 85% from 2019 to 2020 (61 vs. 113; P\<0.001) but were steady from 2018 to 2019. Heroin's presence continued to decrease (341 in 2018, 247 in 2019, 157 in 2020; P\<0.001); however, fentanyl was present in more than 85% of all OD deaths across all periods. Among OD deaths, alcohol involvement consistently increased, present in 250 deaths in 2018, 299 in 2019 (P=0.02), and 350 in 2020 (P=0.04). In 2019, 78% of OD decedents were White and 7% were Black, versus 73% and 10% in 2020 (P=0.02). 

Conclusion 

: Increased deaths involving stimulants, alcohol, and fentanyl reflect concerning trends in the era of COVID-19. Rising OD death rates among Black residents underscore that interventions focused on racial equity are necessary.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jalali2020d,

title = {Telemedicine, privacy, and information security in the age of COVID-19.},

author = {Mohammad S. Jalali and Adam Landman and William J Gordon},

url = {https://pubmed.ncbi.nlm.nih.gov/33325533/},

doi = {10.1093/jamia/ocaa310},

issn = {1527-974X},

year  = {2020},

date = {2020-12-01},

journal = {Journal of the American Medical Informatics Association : JAMIA},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jalali2020b,

title = {Transparency assessment of COVID-19 models.},

author = {Mohammad S. Jalali and Catherine DiGennaro and Devi Sridhar},

url = {https://pubmed.ncbi.nlm.nih.gov/33125915/},

doi = {10.1016/S2214-109X(20)30447-2},

issn = {2214-109X},

year  = {2020},

date = {2020-12-01},

journal = {The Lancet. Global health},

volume = {8},

number = {12},

pages = {e1459-e1460},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Gupta2020,

title = {Whether the weather will help us weather the COVID-19 pandemic: Using machine learning to measure twitter users' perceptions.},

author = {Marichi Gupta and Aditya Bansal and Bhav Jain and Jillian Rochelle and Atharv Oak and Mohammad S. Jalali},

url = {https://pubmed.ncbi.nlm.nih.gov/33242762/},

doi = {10.1016/j.ijmedinf.2020.104340},

issn = {1872-8243},

year  = {2020},

date = {2020-11-01},

journal = {International journal of medical informatics},

volume = {145},

pages = {104340},

abstract = {The potential ability for weather to affect SARS-CoV-2 transmission has been an area of controversial discussion during the COVID-19 pandemic. Individuals' perceptions of the impact of weather can inform their adherence to public health guidelines; however, there is no measure of their perceptions. We quantified Twitter users' perceptions of the effect of weather and analyzed how they evolved with respect to real-world events and time. We collected 166,005 English tweets posted between January 23 and June 22, 2020 and employed machine learning/natural language processing techniques to filter for relevant tweets, classify them by the type of effect they claimed, and identify topics of discussion. We identified 28,555 relevant tweets and estimate that 40.4 % indicate uncertainty about weather's impact, 33.5 % indicate no effect, and 26.1 % indicate some effect. We tracked changes in these proportions over time. Topic modeling revealed major latent areas of discussion. There is no consensus among the public for weather's potential impact. Earlier months were characterized by tweets that were uncertain of weather's effect or claimed no effect; later, the portion of tweets claiming some effect of weather increased. Tweets claiming no effect of weather comprised the largest class by June. Major topics of discussion included comparisons to influenza's seasonality, President Trump's comments on weather's effect, and social distancing. We exhibit a research approach that is effective in measuring population perceptions and identifying misconceptions, which can inform public health communications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Li2020a,

title = {How telemedicine integrated into China's anti-COVID-19 strategies: case from a National Referral Center.},

author = {Peiyi Li and Xiaoyu Liu and Elizabeth Mason and Guangyu Hu and Yongzhao Zhou and Weimin Li and Mohammad S. Jalali},

url = {https://pubmed.ncbi.nlm.nih.gov/32830110/},

doi = {10.1136/bmjhci-2020-100164},

issn = {2632-1009},

year  = {2020},

date = {2020-08-01},

journal = {BMJ health \& care informatics},

volume = {27},

abstract = {We present the integration of telemedicine into the healthcare system of West China Hospital of Sichuan University (WCH), one of the largest hospitals in the world with 4300 inpatient beds, as a means for maximising the efficiency of healthcare delivery during the COVID-19 pandemic. Implemented on 22 January 2020, the telemedicine technology allowed WCH providers to conduct teleconsultations, telerounds, teleradiology and tele-intensive care unit, which in culmination provided screening, triage and treatment for COVID-19 and other illnesses. To encourage its adoption, the government and the hospital publicised the platform on social media and waived fees. From 1 February to 1 April 2020, 10557 online COVID-19 consultations were conducted for 6662 individuals; meanwhile, 32676 patients without COVID completed virtual follow-ups. We discuss that high-quality, secure, affordable and user-friendly telemedical platforms should be integrated into global healthcare systems to help decrease the transmission of the virus and protect healthcare providers from infection.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jalali2020a,

title = {The opioid crisis: need for systems science research.},

author = {Mohammad S. Jalali and Michael Botticelli and Rachael C. Hwang and Howard K. Koh and R. Kathryn McHugh},

url = {https://pubmed.ncbi.nlm.nih.gov/32771004/},

doi = {10.1186/s12961-020-00598-6},

issn = {1478-4505},

year  = {2020},

date = {2020-08-01},

journal = {Health research policy and systems},

volume = {18},

number = {1},

pages = {88},

abstract = {The opioid epidemic in the United States has had a devastating impact on millions of people as well as on their families and communities. The increased prevalence of opioid misuse, use disorder and overdose in recent years has highlighted the need for improved public health approaches for reducing the tremendous harms of this illness. In this paper, we explain and call for the need for more systems science approaches, which can uncover the complexities of the opioid crisis, and help evaluate, analyse and forecast the effectiveness of ongoing and new policy interventions. Similar to how a stream of systems science research helped policy development in infectious diseases and obesity, more systems science research is needed in opioids.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jalali2020,

title = {The opioid crisis: a contextual, social-ecological framework.},

author = {Mohammad S. Jalali and Michael Botticelli and Rachael C. Hwang and Howard K. Koh and R. Kathryn McHugh},

url = {https://pubmed.ncbi.nlm.nih.gov/32762700/},

doi = {10.1186/s12961-020-00596-8},

issn = {1478-4505},

year  = {2020},

date = {2020-08-01},

journal = {Health research policy and systems},

volume = {18},

number = {1},

pages = {87},

abstract = {The prevalence of opioid use and misuse has provoked a staggering number of deaths over the past two and a half decades. Much attention has focused on individual risks according to various characteristics and experiences. However, broader social and contextual domains are also essential contributors to the opioid crisis such as interpersonal relationships and the conditions of the community and society that people live in. Despite efforts to tackle the issue, the rates of opioid misuse and non-fatal and fatal overdose remain high. Many call for a broad public health approach, but articulation of what such a strategy could entail has not been fully realised. In order to improve the awareness surrounding opioid misuse, we developed a social-ecological framework that helps conceptualise the multivariable risk factors of opioid misuse and facilitates reviewing them in individual, interpersonal, communal and societal levels. Our framework illustrates the multi-layer complexity of the opioid crisis that more completely captures the crisis as a multidimensional issue requiring a broader and integrated approach to prevention and treatment.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Li2020,

title = {Patients' Perceptions of Barriers and Facilitators to the Adoption of E-Hospitals: Cross-Sectional Study in Western China.},

author = {Peiyi Li and Yunmei Luo and Xuexin Yu and Jin Wen and Elizabeth Mason and Weimin Li and Mohammad S. Jalali},

url = {https://www.ncbi.nlm.nih.gov/pubmed/32525483},

doi = {10.2196/17221},

issn = {1438-8871},

year  = {2020},

date = {2020-06-01},

journal = {Journal of medical Internet research},

volume = {22},

number = {6},

pages = {e17221},

abstract = {As an innovative approach to providing web-based health care services from physical hospitals to patients at a distance, e-hospitals (ie, extended care hospitals through the internet) have been extensively developed in China. This closed health care delivery chain was developed by combining e-hospitals with physical hospitals; treatment begins with web-based consultation and registration, and then, patients are diagnosed and treated in a physical hospital. This approach is promising in its ability to improve accessibility, efficiency, and quality of health care. However, there is limited research on end users' acceptance of e-hospitals and the effectiveness of strategies aimed to prompt the adoption of e-hospitals in China. This study aimed to provide insights regarding the adoption of e-hospitals by investigating patients' willingness to use e-hospitals and analyzing the barriers and facilitators to the adoption of this technology. We used a pretested self-administered questionnaire and performed a cross-sectional analysis in 1032 patients across three hierarchical hospitals in West China from June to August 2019. Patients' sociodemographic characteristics, medical history, current disease status, proficiency with electronic devices, previous experience with web-based health services, willingness to use e-hospitals, and perceived facilitators and barriers were surveyed. Multiple significance tests were employed to examine disparities across four age groups, as well as those between patients who were willing to use e-hospitals and those who were not. Multivariate logistic regression was also performed to identify the potential predictors of willingness to use e-hospitals. Overall, it was found that 65.6% (677/1032) of participants were willing to use e-hospitals. The significant predictors of willingness to use e-hospitals were employment status (P=.02), living with children (P.001), education level (P=.046), information technology skills (P.001), and prior experience with web-based health care services (P.001), whereas age, income, medical insurance, and familiarity with e-hospitals were not predictors. Additionally, the prominent facilitators of e-hospitals were convenience (641/677, 94.7%) and accessibility to skilled medical experts (489/677, 72.2%). The most frequently perceived barrier varied among age groups; seniors most often reported their inability to operate technological devices as a barrier (144/166, 86.7%), whereas young participants most often reported that they avoided e-hospital services because they were accustomed to face-to-face consultation (39/52, 75%). We identified the variables, facilitators, and barriers that play essential roles in the adoption of e-hospitals. Based on our findings, we suggest that efforts to increase the adoption of e-hospitals should focus on making target populations accustomed to web-based health care services while maximizing ease of use and providing assistance for technological inquiries.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Liang2020,

title = {Trends in Hospitalization Expenditures for Acute Exacerbations of COPD in Beijing from 2009 to 2017.},

author = {Lirong Liang and Yunxiao Shang and Wuxiang Xie and Julie Shi and Zhaohui Tong and Mohammad S. Jalali},

doi = {10.2147/COPD.S243595},

issn = {1178-2005},

year  = {2020},

date = {2020-01-01},

journal = {International journal of chronic obstructive pulmonary disease},

volume = {15},

pages = {1165--1175},

abstract = {Chronic obstructive pulmonary disease (COPD) is the cause of substantial economic and social burden. We investigated trends in hospitalizations for acute exacerbation of COPD in Beijing, China, from 2009 to 2017. Investigations were conducted using data from the discharge records of inpatients that were given a primary diagnosis of acute exacerbation of COPD. The dataset was a retrospective review of information collected from electronic medical records and included 315,116 admissions (159,368 patients). Descriptive analyses and multivariate regressions were used to investigate trends in per admission and per capita expenditures, as well as other potential contributing factors. The mean per admission expenditures increased from 19,760 CNY ($2893, based on USD/CNY=6.8310) in 2009 to 20,118 CNY ($2980) in 2017 (a growth rate of 0.11%). However, the per capita expenditures increased from 23,716 CNY ($3472) in 2009 to 31,000 CNY ($4538) in 2017 (a growth rate of 1.7%). In terms of per admission expenditures, drug costs accounted for 52.9% of the total expenditures in 2009 and dropped to 39.4% in 2017 ( trend \< 0.001). The mean length of stay (LOS) decreased from 16.0 days to 13.5 days ( trend \< 0·001). Age, gender, COPD type, LOS, and hospital level were all associated with per admission and per capita expenditures. Relatively stable per admission expenditures along with the decline in drug costs and LOS reflect the effectiveness of cost containment on some indicators in China's health care reform. However, the increase in hospitalization expenditures per capita calls for better policies for controlling hospitalizations, especially multiple admissions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN64,

title = {Adoption of New Medical Technologies: The Case of Customized Individually Made Knee Implants},

author = {Amir T. Namin and Mohammad S. Jalali and Vahab Vahdat and Hany S. Bedair and Mary I. O'Connor and Sagar Kamarthi and Jacqueline A. Isaacs},

url = {https://www.ncbi.nlm.nih.gov/pubmed/30975393},

doi = {10.1016/j.jval.2019.01.008},

year  = {2019},

date = {2019-04-01},

urldate = {2019-04-01},

journal = {Value in Health},

volume = {22},

number = {4},

pages = {423-430},

abstract = {OBJECTIVES: 

To investigate the impact of insurance coverage on the adoption of customized individually made (CIM) knee implants and to compare patient outcomes and cost effectiveness of off-the-shelf and CIM implants. 

 

METHODS: 

A system dynamics simulation model was developed to study adoption dynamics of CIM and meet the research objectives. The model reproduced the historical data on primary and revision knee replacement implants obtained from the literature and the Nationwide Inpatient Sample. Then the dynamics of adoption of CIM implants were simulated from 2018 to 2026. The rate of 90-day readmission, 3-year revision surgery, recovery period, time savings in operating rooms, and the associated cost within 3 years of primary knee replacement implants were used as performance metrics. 

 

RESULTS: 

The simulation results indicate that by 2026, an adoption rate of 90% for CIM implants can reduce the number of readmissions and revision surgeries by 62% and 39%, respectively, and can save hospitals and surgeons 6% on procedure time and cut down cumulative healthcare costs by approximately $38 billion. 

 

CONCLUSIONS: 

CIM implants have the potential to deliver high-quality care while decreasing overall healthcare costs, but their adoption requires the expansion of current insurance coverage. This work presents the first systematic study to understand the dynamics of adoption of CIM knee implants and instrumentation. More broadly, the current modeling approach and systems thinking perspective could be used to consider the adoption of any emerging customized therapies for personalized medicine.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN70,

title = {Dynamics of intervention adoption, implementation, and maintenance inside organizations: The case of an obesity prevention initiative},

author = {Mohammad S. Jalali and Hazhir Rahmandad and Sally Lawrence Bullock and Seung Hee Lee-Kwan and Joel Gittelsohn and Alice Ammerman},

year  = {2019},

date = {2019-03-01},

journal = {Social Science \& Medicine},

volume = {224},

pages = {67-76},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN69,

title = {Why Employees (Still) Click on Phishing Links: an Investigation in Hospitals},

author = {Mohammad S. Jalali and Maike Bruckes and Daniel Westmattelmann and Gerhard Schewe},

url = {https://pubmed.ncbi.nlm.nih.gov/32012071/},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Social Science Research Network},

volume = {22},

number = {11},

pages = {e16775},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN60,

title = {The Internet of Things (IoT) Promises New Benefits -- and Risks: A Systematic Analysis of Adoption Dynamics of IoT Products?},

author = {Mohammad S. Jalali and Jessica P. Kaiser and Michael Siegel and Stuart Madnick},

url = {https://ieeexplore.ieee.org/document/8677360},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {IEEE Security and privacy},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN67,

title = {Health care and cybersecurity: bibliometric analysis of the literature},

author = {Mohammad S. Jalali and Sabina Razak and William Gordon and Eric Perakslis and Stuart Madnick},

url = {https://pubmed.ncbi.nlm.nih.gov/30767908/},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Journal of Medical Internet Research},

volume = {21},

number = {2},

pages = {e12644},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN63,

title = {EARS to Cyber Incidents in Health Care},

author = {Mohammad S. Jalali and Bethany Russell and Sabina Razak and William Gordon},

url = {https://pubmed.ncbi.nlm.nih.gov/30517701/},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Journal of the American Medical Informatics Association},

volume = {26},

number = {1},

pages = {81-90},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN65,

title = {Minimization of Drug Shortages in Pharmaceutical Supply Chains: A Simulation-Based Analysis of Drug Recall Patterns and Inventory Policies},

author = {Rana Azghandi and Jacqueline Griffin and Mohammad S. Jalali},

url = {https://downloads.hindawi.com/journals/complexity/2018/6348413.pdf},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Complexity},

volume = {2018},

number = {6348413},

pages = {1-14},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN66,

title = {Modeling and Estimating the Feedback Mechanisms among Depression, Rumination, and Stressors in Adolescents},

author = {Niyousha Hosseinichimeh and Andrea K. Wittenborn and Jennifer Rick and Mohammad S. Jalali and Hazhir Rahmandad},

url = {https://pubmed.ncbi.nlm.nih.gov/30261010/},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {PLOS ONE},

volume = {13},

number = {9},

pages = {e0204389},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN62,

title = {Cybersecurity in Hospitals: a Systematic, Organizational Perspective},

author = {Mohammad S. Jalali and Jessica P. Kaiser},

url = {https://pubmed.ncbi.nlm.nih.gov/29807882/},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Journal of Medical Internet Research},

volume = {20},

number = {5},

pages = {e10059},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN57,

title = {Decision-Making and Biases in Cybersecurity Capability Development: Evidence from a Simulation Game Experiment},

author = {Mohammad S. Jalali and Michael Siegel and Stuart Madnick},

url = {https://www.sciencedirect.com/science/article/pii/S0963868717304353},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Journal of Strategic Information Systems},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN56,

title = {Dynamics of Implementation and Maintenance of Organizational Health Interventions},

author = {Mohammad S. Jalali and Hazhir Rahmandad and Sally Lawrence Bullock and Alice Ammerman},

url = {https://pubmed.ncbi.nlm.nih.gov/28809807/},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

journal = {Int. J. Environ. Res. Public Health},

volume = {14},

number = {8},

pages = {917},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN55,

title = {How Exposure to Different Opinions Impacts the Life Cycle of Social Media},

author = {Armin A. Rad and Mohammad S. Jalali and Hazhir Rahmandad},

url = {https://link.springer.com/article/10.1007/s10479-017-2554-8},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

journal = {Annals of Operations Research},

volume = {268},

pages = {63–91},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN54,

title = {A Flexible Method for Aggregation of Prior Statistical Findings},

author = {Hazhir Rahmandad and Mohammad S. Jalali and Kamran Paynabar},

url = {https://pubmed.ncbi.nlm.nih.gov/28384282/},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

journal = {PLOS ONE},

volume = {12},

number = {4},

pages = {e0175111},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN50,

title = {Social influence in childhood obesity interventions: a systematic review},

author = {Mohammad S. Jalali and Z Sharafi-Avarzaman and H Rahmandad and AS Ammerman},

url = {https://pubmed.ncbi.nlm.nih.gov/27138986/},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {Obesity Reviews},

volume = {17},

number = {9},

pages = {820-832},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN51,

title = {A Dynamic Model of Post-Traumatic Stress Disorder for Military Personnel and Veterans},

author = {Navid Ghaffarzadegan and Alireza Ebrahimvandi and Mohammad S. Jalali},

url = {https://pubmed.ncbi.nlm.nih.gov/27716776/},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {PLOS ONE},

volume = {11},

number = {10},

pages = {e0161405},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN49,

title = {Preventive behaviors and perceptions of influenza vaccination among a university student population},

author = {Sahar Hashmi and Lisa D’Ambrosio and David V. Diamond and Mohammad S. Jalali and Stan N. Finkelstein and Richard C. Larson},

url = {https://pubmed.ncbi.nlm.nih.gov/28158761/},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {Journal of Public Health},

volume = {38},

number = {4},

pages = {739-745},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN53,

title = {Estimating the parameters of system dynamics models using indirect inference},

author = {Niyousha Hosseinichimeh and Hazhir Rahmandad and Mohammad S. Jalali and Andrea K Wittenborn},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/sdr.1558},

issn = {0883-7066},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {System Dynamics Review},

volume = {32},

number = {2},

pages = {156-180},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN47,

title = {Information diffusion through social networks: The case of an online petition},

author = {Mohammad S. Jalali and Armin Ashouri and Oscar Herrera-Restrepo and Hui Zhang},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0957417415006284},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {Expert Systems with Applications},

volume = {44},

pages = {187–197},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN48,

title = {Using the method of simulated moments for system identification},

author = {Mohammad S. Jalali and Hazhir Rahmandad and Hamed Ghoddusi},

url = {https://www.researchgate.net/publication/315828621_Using_the_Method_of_Simulated_Moments_for_System_Identification},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {Analytical Methods for Dynamic Modelers},

pages = {39-69},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN59,

title = {Three Essays on Systems Thinking and Dynamic Modeling in Obesity Prevention Interventions},

author = {Mohammad S. Jalali and Seyed Mohammad Javad Jalali},

url = {https://vtechworks.lib.vt.edu/bitstream/handle/10919/75171/Jalali_SM_D_2015.pdf},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {Virginia Tech Dissertations},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN46,

title = {Public and health-professionals misconceptions about the dynamics of body weight gain/loss},

author = {Tarek Abdel-Hamid and Felix Ankel and Michele Battle-Fisher and Bryan Gibson and Gilberto Gonzalez-Parra and Mohammad S. Jalali and Kirsikka Kaipainen and Nishan Kalupahana and Ozge Karanfil and Achla Marathe},

url = {https://pubmed.ncbi.nlm.nih.gov/25620843/},

year  = {2014},

date = {2014-01-01},

journal = {System Dynamics Review},

volume = {30},

number = {1-2},

pages = {8-74},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN36,

title = {Establishing baseline electrical energy consumption in wood processing sawmills for lean energy initiatives: A model based on energy analysis and diagnostics},

author = {Bhaskaran Gopalakrishnan and Yogesh Mardikar and Deepak Gupta and Seyed Mohammad Jalali and Subodh Chaudhari},

url = {https://www.researchgate.net/publication/254303394_Establishing_Baseline_Electrical_Energy_Consumption_in_Wood_Processing_Sawmills_for_Lean_Energy_Initiatives_A_Model_Based_on_Energy_Analysis_and_Diagnostics},

issn = {0199-8595},

year  = {2012},

date = {2012-01-01},

urldate = {2012-01-01},

journal = {Energy Engineering},

volume = {109},

number = {5},

pages = {40-80},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{RN37,

title = {Development of an integrated model for process planning and parameter selection for machining processes},

author = {DP Gupta and B Gopalakrishnan and SA Chaudhari and S Jalali},

url = {https://www.tandfonline.com/doi/abs/10.1080/00207543.2010.523722},

issn = {0020-7543},

year  = {2011},

date = {2011-01-01},

urldate = {2011-01-01},

journal = {International journal of production research},

volume = {49},

number = {21},

pages = {6301-6319},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid36337318,

title = {Community-based system dynamics modelling of stigmatized public health issues: Increasing diverse representation of individuals with personal experiences},

author = {Arielle R Deutsch and Rebecca Lustfield and Mohammad S Jalali},

doi = {10.1002/sres.2807},

issn = {1092-7026},

journal = {Syst Res Behav Sci},

volume = {39},

number = {4},

pages = {734--749},

abstract = {Utility of community-based system dynamics (CBSD) models on stigmatized public health issues and health disparities depends upon how representative the model is to real-world experience within the community. "Personal experience" participants (PEP), especially from marginalized groups, are essential model contributors, but are often underrepresented in modeling groups due to multiple barriers. This study details a method to increase PEP representation for models on stigmatized issues. We use a case study from a CBSD project on health disparities within the association between alcohol misuse (AM) and intimate partner violence (IPV) for Northern Plains Indigenous women. Short group model building sessions were held at three community organizations providing relevant resources. Each model contributed unique system components, and there were few similarities between models. A consolidated model provided a rich picture of the complex system. Adding brief PEP-based group modeling sessions can enhance PEP representation in model development for stigmatized public health issues.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}