Ji E Chang
Ji E Chang
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Assistant Professor of Public Health Policy and Management
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Professional overview
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Ji Eun Chang, Ph.D., is an Assistant Professor in the Department of Public Health Policy and Management at the New York University School of Global Public Health, where she also serves as the public health policy and management concentration director for the Ph.D. program. Professor Chang uses mixed-methods research designs and draws from qualitative, quantitative, and geospatial data to demonstrate disparities and highlight barriers faced by safety net providers and underserved patients in accessing equitable care.
Professor Chang is the principal investigator of the AI4Healthy Cities Initiative in New York City, a multi-city collaboration between the Novartis Foundation, Microsoft AI4Health, and local health officials to reduce cardiovascular health inequities through big data analytics. Dr. Chang is also the co-principal investigator of an NIH NIDA-funded study to support implementing transitional opioid programs in safety net hospitals. Dr. Chang received a B.A. in Economics from the University of California at Berkeley, an M.S. in Public Policy and Management from Carnegie Mellon University, and a Ph.D. in Public Administration from New York University in 2016. -
Education
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BA, Economics, University of California at Berkeley, Berkeley, CAMS, Public Policy and Management, Carnegie Mellon University, Pittsburgh, PAPhD, Public Administration, New York University, New York, NY
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Honors and awards
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Governor’s Scholar (2007)Regents and Chancellors’ Scholar (2005)
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Areas of research and study
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Cardiovascular DiseaseHealth DisparitiesHealth EquityPublic Health ManagementPublic Health ManagementSafety Net Providers and PatientsSubstance Use Disorders
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Publications
Publications
A Year After Implementation of the Telehealth Waiver: Being Offered and Utilizing Video-Specific Telehealth Among Dual-Eligible Medicare Recipients During the COVID-19 Pandemic
AbstractChoi, J., Kim, G., Choi, S., & Chang, J. E. (n.d.).Publication year
2024Journal title
Journal of Public Health Management and PracticeVolume
30Issue
2Page(s)
255-266AbstractObjective: Telehealth is an essential tool to provide access to care while reducing infection exposure for high-risk populations during the COVID-19 pandemic. Our study aims to examine factors associated with telehealth availability and usage among Medicare and dual-eligible recipients 1 year after implementation of the Medicare’s temporary telehealth waiver. Design, Setting, and Participant: A cross-sectional, phone survey with a national representative sample of Medicare recipients. We obtained a final study sample from the Winter 2021 COVID-19 Supplement of Medicare Current Beneficiary Survey dataset (N = 10 586). We examined associations for being offered and having had telehealth visits or any video telehealth visits during the pandemic since November 1, 2020. Main Outcome Measures: Our primary outcomes were being offered any telehealth, being offered any video telehealth, having had any telehealth visit, and having had any video telehealth. Results: Although dual eligibility was not significantly associated with being offered or having had any telehealth services during the pandemic, those who were dual eligible were more likely to have had video telehealth visits (adjusted odds ratio = 1.39, 95% confidence interval 1.04-1.86, P = .03) compared with those with non-dual eligibility. Recipients with disability eligibility, technology access, and severe chronic conditions were more likely to have been offered or have had telehealth. At the same time, those who lived in the nonmetropolitan area were less likely to have been offered or have had telehealth, including video telehealth. Conclusions: Our findings suggest that the federal waivers to expand telehealth services were successful in continuing care for vulnerable Medicare recipients. The providers’ specific outreach and intervention efforts to offer telehealth visits are crucial for dual-eligible recipients. To increase video telehealth uptake, technology access and services to rural areas should be prioritized.Barriers and Facilitators to Establishing Partnerships for Substance Use Disorder Care Transitions Between Safety-Net Hospitals and Community-Based Organizations
AbstractLindenfeld, Z., Franz, B., Lai, A., Pagan, J., Fenstemaker, C., Cronin, C. E., & Chang, J. E. (n.d.).Publication year
2024Journal title
Journal of general internal medicineVolume
39Issue
12Page(s)
2150-2159AbstractBackground: The effectiveness of hospital-based transitional opioid programs (TOPs), which aim to connect patients with substance use disorders (SUD) to ongoing treatment in the community following initiation of medication for opioid use disorder (MOUD) treatment in the hospital, hinges on successful patient transitions. These transitions are enabled by strong partnerships between hospitals and community-based organizations (CBOs). However, no prior study has specifically examined barriers and facilitators to establishing SUD care transition partnerships between hospitals and CBOs. Objective: To identify barriers and facilitators to developing partnerships between hospitals and CBOs to facilitate care transitions for patients with SUDs. Design: Qualitative study using semi structured interviews conducted between November 2022-August 2023. Participants: Staff and providers from hospitals affiliated with four safety-net health systems (n=21), and leaders and staff from the CBOs with which they had established partnerships (n=5). Approach: Interview questions focused on barriers and facilitators to implementing TOPs, developing partnerships with CBOs, and successfully transitioning SUD patients from hospital settings to CBOs. Key Results: We identified four key barriers to establishing transition partnerships: policy and philosophical differences between organizations, ineffective communication, limited trust, and a lack of connectivity between data systems. We also identified three facilitators to partnership development: strategies focused on building partnership quality, strategic staffing, and organizing partnership processes. Conclusions: Our findings demonstrate that while multiple barriers to developing hospital-CBO partnerships exist, stakeholders can adopt implementation strategies that mitigate these challenges such as using mediators, cross-hiring, and focusing on mutually beneficial services, even within resource-limited safety-net settings. Policymakers and health system leaders who wish to optimize TOPs in their facilities should focus on adopting implementation strategies to support transition partnerships such as inadequate data collection and sharing systems.Comparing Rates of Undiagnosed Hypertension and Diabetes in Patients With and Without Substance Use Disorders
AbstractLindenfeld, Z., Chen, K., Kapur, S., & Chang, J. E. (n.d.).Publication year
2024Journal title
Journal of general internal medicineVolume
39Issue
9Page(s)
1632-1641AbstractBackground: Individuals with substance use disorders (SUDs) have increased risk for developing chronic conditions, though few studies assess rates of diagnosis of these conditions among patients with SUDs. Objective: To compare rates of undiagnosed hypertension and diabetes among patients with and without an SUD. Design: Cross-sectional analysis using electronic health record (EHR) data from 58 primary care clinics at a large, urban, healthcare system in New York. Participants: Patients who had at least two primary care visits from 2019–2022 were included in our patient sample. Patients without an ICD-10 hypertension diagnosis or prescribed hypertension medications and with at least two blood pressure (BP) readings ≥ 140/90 mm were labeled ‘undiagnosed hypertension,’ and patients without a diabetes diagnosis or prescribed diabetes medications and with A1C/hemoglobin ≥ 6.5% were labeled ‘undiagnosed diabetes.’ Main Measures: We calculated the mean number of patients with and without an ICD-10 SUD diagnosis who were diagnosed and undiagnosed for each condition. We used multivariate logistic regression to assess the association between being undiagnosed for each condition, and having an SUD diagnosis, patient demographic characteristics, clinical characteristics (body mass index, Elixhauser comorbidity count, diagnosed HIV and psychosis), the percentage of visits without a BP screening, and the total number of visits during the time period. Key Results: The percentage of patients with undiagnosed hypertension (2.74%) and diabetes (22.98%) was higher amongst patients with SUD than patients without SUD. In multivariate models, controlling for other factors, patients with SUD had significantly higher odds of having undiagnosed hypertension (OR: 1.81; 95% CI: 1.48, 2.20) and undiagnosed diabetes (OR: 1.93; 1.72, 2.16). Being younger, female, and having an HIV diagnosis was also associated with significantly higher odds for being undiagnosed. Conclusions: We found significant disparities in rates of undiagnosed chronic diseases among patients with SUDs, compared with patients without SUDs.Discrimination in Medical Settings across Populations: Evidence From the All of Us Research Program
AbstractWang, V. H. C., Cuevas, A. G., Osokpo, O. H., Chang, J. E., Zhang, D., Hu, A., Yun, J., Lee, A., Du, S., Williams, D. R., & Pagán, J. A. (n.d.).Publication year
2024Journal title
American journal of preventive medicineVolume
67Issue
4Page(s)
568-580AbstractIntroduction: Discrimination in medical settings (DMS) contributes to healthcare disparities in the United States, but few studies have determined the extent of DMS in a large national sample and across different populations. This study estimated the national prevalence of DMS and described demographic and health-related characteristics associated with experiencing DMS in seven different situations. Methods: Survey data from 41,875 adults participating in the All of Us Research Program collected in 2021–2022 and logistic regression were used to examine the association between sociodemographic and health-related characteristics and self-reported DMS among adults engaged with a healthcare provider within the past 12 months. Statistical analysis was performed in 2023–2024. Results: About 36.89% of adults reported having experienced at least one DMS situation. Adults with relative social and medical disadvantages had higher prevalence of experiencing DMS. Compared to their counterparts, respondents with higher odds of experiencing DMS in at least one situation identified as female, non-Hispanic Black, having at least some college, living in the South, renter, having other living arrangement, being publicly insured, not having a usual source of care, having multiple chronic conditions, having any disability, and reporting fair or poor health, p<0.05. Conclusions: The findings indicate a high prevalence of DMS, particularly among some population groups. Characterizing DMS may be a valuable tool for identifying populations at risk within the healthcare system and optimizing the overall patient care experience. Implementing relevant policies remains an essential strategy for mitigating the prevalence of DMS and reducing healthcare disparities.Examining the relationship between social determinants of health, measures of structural racism and county-level overdose deaths from 2017–2020
AbstractLindenfeld, Z., Silver, D., Pagán, J. A., Zhang, D. S., & Chang, J. E. (n.d.).Publication year
2024Journal title
PloS oneVolume
19Issue
5AbstractIntroduction Despite being an important determinant of health outcomes, measures of structural racism are lacking in studies examining the relationship between the social determinants of health (SDOH) and overdose deaths. The aim of this study is to examine the association between per capita revenue generated from fines and forfeitures, a novel measure of structural racism, and other SDOH with county-level overdose deaths from 2017–2020. Methods This longitudinal analysis of 2,846 counties from 2017–2020 used bivariate and multivariate Generalized Estimating Equations models to estimate associations between county overdose mortality rates and SDOH characteristics, including the fines and forfeitures measure. Results In our multivariate model, higher per capita fine and forfeiture revenue (5.76; CI: 4.76, 6.78), households receiving food stamps (1.15; CI: 0.77, 1.53), residents that are veterans (1.07; CI: 0.52, 1.63), substance use treatment availability (4.69; CI: 3.03, 6.33) and lower population density (-0.002; CI: -0.004, -0.001) and percent of Black residents (-0.7‘; CI: -1.01, -0.42) were significantly associated with higher overdose death rates. There was a significant additive interaction between the fines and forfeitures measure (0.10; CI: 0.03, 0.17) and the percent of Black residents. Conclusions Our findings suggest that structural racism, along with other SDOH, is associated with overdose deaths. Future research should focus on connecting individual-level data on fines and forfeitures to overdose deaths and other health outcomes, include measures of justice-related fines, such as court fees, and assess whether interventions aimed at increasing economic vitality in disadvantaged communities impact overdose deaths in a meaningful way.Initiatives to Support the Transition of Patients With Substance Use Disorders From Acute Care to Community-based Services Among a National Sample of Nonprofit Hospitals
AbstractKrawczyk, N., Rivera, B. D., Chang, J. E., Lindenfeld, Z., & Franz, B. (n.d.).Publication year
2024Journal title
Journal of Addiction MedicineVolume
18Issue
2Page(s)
115-121AbstractBackground Hospitals are a key touchpoint to reach patients with substance use disorders (SUDs) and link them with ongoing community-based services. Although there are many acute care interventions to initiate SUD treatment in hospital settings, less is known about what services are offered to transition patients to ongoing care after discharge. In this study, we explore what SUD care transition strategies are offered across nonprofit US hospitals. Methods We analyzed administrative documents from a national sample of US hospitals that indicated SUD as a top 5 significant community need in their Community Health Needs Assessment reports (2019-2021). Data were coded and categorized based on the nature of described services. We used data on hospitals and characteristics of surrounding counties to identify factors associated with hospitals' endorsement of transition interventions for SUD. Results Of 613 included hospitals, 313 prioritized SUD as a significant community need. Fifty-three of these hospitals (17%) offered acute care interventions to support patients' transition to community-based SUD services. Most (68%) of the 53 hospitals described transition strategies without further detail, 23% described scheduling appointments before discharge, and 11% described discussing treatment options before discharge. No hospital characteristics were associated with offering transition interventions, but such hospitals were more likely to be in the Northeast, in counties with higher median income, and states that expanded Medicaid. Conclusions Despite high need, most US hospitals are not offering interventions to link patients with SUD from acute to community care. Efforts to increase acute care interventions for SUD should identify and implement best practices to support care continuity.Trends in the availability of comprehensive services within outpatient substance use treatment facilities from 2018 to 2022
AbstractLindenfeld, Z., Cantor, J. H., & Chang, J. E. (n.d.).Publication year
2024Journal title
American Journal of Drug and Alcohol AbuseAbstractBackground: Little is known regarding the extent to which substance use disorder (SUD) treatment facilities adopt comprehensive services to meet patients’ medical and social needs. Objective: To examine trends in the availability of comprehensive services within outpatient SUD treatment facilities from 2018 to 2022. Methods: We used data from the Mental Health and Addiction Treatment Tracking Repository, a national database of SUD treatment facilities (n = 13,793). We examined the availability of four domains of comprehensive services and four types of SUD treatment services from 2018 to 2022. We conducted bivariate and multivariate logistic regression predicting the availability of a comprehensive service model (defined as having at least one service from each service domain), controlling for organizational and community characteristics. Results: Comprehensive services were increasingly offered from 2018 to 2022. In unadjusted and adjusted models, facilities which were externally accredited (OR: 1.50; 95%CI: 1.30–1.74), accepted Medicaid (OR: 1.51; 95%CI: 1.30–1.74), performed community outreach (OR: 2.05; 95%CI: 1.80–2.33), provided naloxone and overdose education (OR: 3.50; 95%CI: 3.06–3.99), had a robust SUD treatment infrastructure (OR: 2.33; 95%CI; 2.08–2.62), and were located in a county with a lower percentage of White residents (OR: 0.99; 95%CI: 0.99–0.99), a higher percentage of residents in poverty (OR: 1.02; 95%CI: 1.00–1.03), and the Northeast compared with the South (OR: 1.21; 95%CI: 1.01–1.45), had significantly higher odds of adopting a comprehensive service model. Conclusion: Findings highlight the importance of factors reflecting experience with organizational change efforts and enhanced external support. Policymakers working to enhance the uptake of comprehensive services should focus on obtaining the financial and technical support necessary to develop these models.An observational, sequential analysis of the relationship between local economic distress and inequities in health outcomes, clinical care, health behaviors, and social determinants of health
AbstractWeeks, W. B., Chang, J. E., Pagán, J. A., Aerts, A., Weinstein, J. N., & Ferres, J. L. (n.d.).Publication year
2023Journal title
International Journal for Equity in HealthVolume
22Issue
1AbstractBackground: Socioeconomic status has long been associated with population health and health outcomes. While ameliorating social determinants of health may improve health, identifying and targeting areas where feasible interventions are most needed would help improve health equity. We sought to identify inequities in health and social determinants of health (SDOH) associated with local economic distress at the county-level. Methods: For 3,131 counties in the 50 US states and Washington, DC (wherein approximately 325,711,203 people lived in 2019), we conducted a retrospective analysis of county-level data collected from County Health Rankings in two periods (centering around 2015 and 2019). We used ANOVA to compare thirty-three measures across five health and SDOH domains (Health Outcomes, Clinical Care, Health Behaviors, Physical Environment, and Social and Economic Factors) that were available in both periods, changes in measures between periods, and ratios of measures for the least to most prosperous counties across county-level prosperity quintiles, based on the Economic Innovation Group’s 2015–2019 Distressed Community Index Scores. Results: With seven exceptions, in both periods, we found a worsening of values with each progression from more to less prosperous counties, with least prosperous counties having the worst values (ANOVA p < 0.001 for all measures). Between 2015 and 2019, all except six measures progressively worsened when comparing higher to lower prosperity quintiles, and gaps between the least and most prosperous counties generally widened. Conclusions: In the late 2010s, the least prosperous US counties overwhelmingly had worse values in measures of Health Outcomes, Clinical Care, Health Behaviors, the Physical Environment, and Social and Economic Factors than more prosperous counties. Between 2015 and 2019, for most measures, inequities between the least and most prosperous counties widened. Our findings suggest that local economic prosperity may serve as a proxy for health and SDOH status of the community. Policymakers and leaders in public and private sectors might use long-term, targeted economic stimuli in low prosperity counties to generate local, community health benefits for vulnerable populations. Doing so could sustainably improve health; not doing so will continue to generate poor health outcomes and ever-widening economic disparities.Assessing Differences in Social Determinants of Health Screening Rates in a Large, Urban Safety-Net Health System
AbstractLindenfeld, Z., Chen, K., Kapur, S., & Chang, J. E. (n.d.).Publication year
2023Journal title
Journal of Primary Care and Community HealthVolume
14AbstractIntroduction/Objective: Previous studies have evaluated the implementation of standardized social determinants of health (SDOH) screening within healthcare settings, however, less is known about where screening gaps may exist following initial implementation based on facility characteristics. The objective of this study is to assess differences in screening rates for SDOH at a large, urban healthcare system. Methods: We used electronic health record data obtained from NYC Health + Hospitals primary care sites from 2019 to 2022. We calculated the mean number of visits that were SDOH screened by visit type, facility size, and the percentages of community characteristics. We conducted 4 logistic regression models predicting the odds of screening for any SDOH and for specific SDOH needs (housing, food, and medical cost assistance) based on facility type, facility size, and the socioeconomic characteristics of the surrounding community. Results: Among the 3 212 650 visits included, 16.90% were SDOH screened. Across all 4 multivariate logistic regression models predicting SDOH screening, a visit had significantly lower odds of being screened if based at a midsize or small facility, if it was a telemedicine visit, or based at a facility located in a zip-code with a higher percentage of SDOH needs. Conclusions: Our study found important differences in SDOH screening rates at a large, NYC-based health system based on size, visit type, and community level characteristics. In particular, our findings point to barriers related to facility size and telemedicine workflow that should be addressed to increase uptake of SDOH screening within different visits and facility types.Association of Medicaid expansion and 1115 waivers for substance use disorders with hospital provision of opioid use disorder services: a cross sectional study
AbstractChang, J. E., Cronin, C. E., Lindenfeld, Z., Pagán, J. A., & Franz, B. (n.d.).Publication year
2023Journal title
BMC health services researchVolume
23Issue
1AbstractIntroduction: Opioid-related hospitalizations have risen dramatically, placing hospitals at the frontlines of the opioid epidemic. Medicaid expansion and 1115 waivers for substance use disorders (SUDs) are two key policies aimed at expanding access to care, including opioid use disorder (OUD) services. Yet, little is known about the relationship between these policies and the availability of hospital based OUD programs. The aim of this study is to determine whether state Medicaid expansion and adoption of 1115 waivers for SUDs are associated with hospital provision of OUD programs. Methods: We conducted a cross-sectional study of a random sample of hospitals (n = 457) from the American Hospital Association’s 2015 American Hospital Directory, compiled with the most recent publicly available community health needs assessment (2015–2018). Results: Controlling for hospital characteristics, overdose burden, and socio-demographic characteristics, both Medicaid policies were associated with hospital adoption of several OUD programs. Hospitals in Medicaid expansion states had significantly higher odds of implementing any program related to SUDs (OR: 1.740; 95% CI: 1.032–2.934) as well as some specific activities such as programs for OUD treatment (OR: 1.955; 95% CI: 1.245–3.070) and efforts to address social determinants of health (OR: 6.787; 95% CI: 1.308–35.20). State 1115 waivers for SUDs were not significantly associated with any hospital-based SUD activities. Conclusions: Medicaid expansion was associated with several hospital programs for addressing OUD. The differential availability of hospital-based OUD programs may indicate an added layer of disadvantage for low-income patients with SUD living in non-expansion states.Exploring Barriers and Facilitators to Integrating a Harm Reduction Approach to Substance Use in Three Medical Settings
AbstractLindenfeld, Z., Hagan, H., & Chang, J. E. (n.d.).Publication year
2023Journal title
Journal of general internal medicineVolume
38Issue
15Page(s)
3273-3282AbstractBackground: Evidence suggests that harm reduction, a public health strategy aimed at reducing the negative consequences of a risky health behavior without requiring elimination of the behavior itself, may be a promising approach for minimizing drug-related harms while engaging individuals with substance use disorders (SUDs) in care. However, philosophical clashes between the medical and harm reduction models may pose barriers to adopting harm reduction approaches within medical settings. Objective: To identify barriers and facilitators to implementing a harm reduction approach toward care within healthcare settings. We conducted semi-structured interviews with providers and staff at three integrated harm reduction and medical care sites in New York. Design: Qualitative study using in-depth and semi-structured interviews. Participants: Twenty staff and providers across three integrated harm reduction and medical care sites across New York state. Approach: Interview questions focused on how harm reduction approaches were implemented and demonstrated in practice and barriers and facilitators to implementation, as well as questions based on the five domains of the Consolidated Framework for Implementation Research (CFIR). Key Results: We identified three key barriers to the adoption of the harm reduction approach that surrounded resource constraints, provider burnout, and interacting with external providers that do not have a harm reduction orientation. We also identified three facilitators to implementation, which included ongoing training both within and external to the clinic, team-based and interdisciplinary care, and affiliations with a larger healthcare system. Conclusions: This study demonstrated that while multiple barriers to implementing harm reduction informed medical care existed, health system leaders can adopt practices to mitigate barriers to adoption, such as value-based reimbursement models and holistic models of care that address the full spectrum of patient needs.Facilitation of team-based care to improve HTN management and outcomes: a protocol for a randomized stepped wedge trial
AbstractShelley, D. R., Brown, D., Cleland, C. M., Pham-Singer, H., Zein, D., Chang, J. E., & Wu, W. Y. (n.d.).Publication year
2023Journal title
BMC health services researchVolume
23Issue
1AbstractBackground: There are well-established guidelines for treating hypertension (HTN), yet only half of patients with HTN meet the defined target of < 140/90. Team-based care (TBC) is an evidence-based strategy for improving blood pressure (BP) management and control. TBC is defined as the provision of health services by at least two health professionals “who work collaboratively with patients and their caregivers to accomplish shared goals to achieve coordinated, high-quality care”. However, primary care practices experience challenges to implementing TBC principles and care processes; these are more pronounced in small independent practice settings (SIPs). Practice facilitation (PF) is an implementation strategy that may overcome barriers to adopting evidence-based TBC to improve HTN management in SIPs. Methods: Using a stepped wedge randomized controlled trial design, we will test the effect of PF on the adoption of TBC to improve HTN management in small practices (< 5 FTE clinicians) in New York City, and the impact on BP control compared with usual care. We will enroll 90 SIPs and randomize them into one of three 12-month intervention waves. Practice facilitators will support SIPs to adopt TBC principles to improve implementation of five HTN management strategies (i.e., panel management, population health, measuring BP, supporting medication adherence, self-management). The primary outcome is the adoption of TBC for HTN management measured at baseline and 12 months. Secondary outcomes include the rate of BP control and sustainability of TBC and BP outcomes at 18 months. Aggregated data on BP measures are collected every 6 months in all clusters so that each cluster provides data points in both the control and intervention conditions. Using a mixed methods approach, we will also explore factors that influence the effectiveness of PF at the organization and team level. Discussion: This study will provide much-needed guidance on how to optimize adoption and sustainability of TBC in independent primary care settings to reduce the burden of disease related to suboptimal BP control and advance understanding of how facilitation works to improve implementation of evidence-based interventions. Trial registration: ClinicalTrials.gov; NCT05413252 .Factors associated with the adoption of evidence-based innovations by substance use disorder treatment organizations: A study of HIV testing
AbstractBroffman, L., D’Aunno, T., & Chang, J. E. (n.d.).Publication year
2023Journal title
Journal of Substance Abuse TreatmentVolume
144AbstractIntroduction: Though prior research shows that a range of important regulatory, market, community, and organizational factors influence the adoption of evidence-based practices (EBPs) among health care organizations, we have little understanding of how these factors relate to each other. To address this gap, we test a conceptual model that emphasizes indirect, mediated effects among key factors related to HIV testing in substance use disorder treatment organizations (SUTs), a critical EBP during the US opioid epidemic. Methods: We draw on nationally representative data from the 2014 (n = 697) and 2017 (n = 657) National Drug Abuse Treatment System Survey (NDATSS) to measure the adoption of HIV testing among the nation's SUTs and their key organizational characteristics; we also draw on data from the US Census Bureau; Centers for Disease Control; and legislative sources to measure regulatory and community environments. We estimate cross-sectional and longitudinal structural equation models (SEM) to test the proposed model. Results: Our longitudinal model of the adoption of HIV testing by SUTs in the United States identifies a pathway by which community and market characteristics (rurality and the number of other SUTs in the area) are related to key sociotechnical characteristics of these organizations (alignment of clients, staff, and harm-reduction culture) that, in turn, are related to the adoption of this EBP. Conclusions: Results also show the importance of developing conceptual models that include indirect effects to account for organizational adoption of EBPs.Hospital adoption of harm reduction and risk education strategies to address substance use disorders
AbstractLindenfeld, Z., Franz, B., Cronin, C., & Chang, J. E. (n.d.).Publication year
2023Journal title
American Journal of Drug and Alcohol AbuseVolume
49Issue
2Page(s)
206-215AbstractBackground: Hospitals are well-positioned to integrate harm reduction into their workflow. However, the extent to which hospitals across the United States are adopting these strategies remains unknown. Objectives: To assess what factors are associated with hospital adoption of harm reduction/risk education strategies, and trends of adoption across time. Methods: We constructed a dataset marking implementation of harm reduction/risk education strategies for a 20% random sample of nonprofit hospitals in the U.S (n = 489) using 2019–2021 community health needs assessments (CHNAs) and implementation strategies obtained from hospital websites. We used two-level mixed effects logistic regression to test the association between adoption of these activities and organizational and community-level variables. We also compared the proportion of hospitals that adopted these strategies in the 2019–2021 CHNAs to an earlier cohort (2015–2018.) Results: In the 2019–2021 CHNAs, 44.7% (n = 219) of hospitals implemented harm reduction/risk education programs, compared with 34.1% (n = 156) in the 2015–2018 cycle. In our multivariate model, hospitals that implemented harm reduction/risk education programs had higher odds of having adopted three or more additional substance use disorder (SUD) programs (OR: 10.5: 95% CI: 5.35–20.62), writing the CHNA with a community organization (OR: 2.14; 95% CI: 1.15–3.97), and prioritizing SUD as a top three need in the CHNA (OR: 2.63; 95% CI: 1.54–4.47.) Conclusions: Our results suggest that hospitals with an existing SUD infrastructure and with connections to community are more likely to implement harm reduction/risk education programs. Policymakers should consider these findings when developing strategies to encourage hospital implementation of harm reduction activities.Integrating Harm Reduction into Medical Care: Lessons from Three Models
AbstractChang, J. E., Lindenfeld, Z., & Hagan, H. (n.d.).Publication year
2023Journal title
Journal of the American Board of Family MedicineVolume
36Issue
3Page(s)
449-461AbstractBackground: Substance use disorders (SUDs) are at a national high, with significant morbidity and mortality. Harm reduction, a public-health strategy aimed at reducing the negative consequences of a risky behavior without necessarily eliminating the behavior, represents a useful approach to engage patients with SUDs in care. The objective of this article is to describe how 3 medical practices operationalized harm reduction as a framework toward patient care and identify the common practices undertaken across these settings to integrate harm reduction and medical care. Methods: We conducted a qualitative study using in-depth, semistructured interviews with 20 staff and providers at 3 integrated harm reduction and medical care sites across New York State from March to June 2021. Interview questions focused on how harm reduction approaches were implemented, how harm reduction philosophies were demonstrated in practice, and barriers to adoption. Results: The interviews resulted in 8 main themes of integrated harm reduction medical care: 1) role of provider as both learner and informer; 2) pragmatic measures of success; 3) collaborative and interdisciplinary care teams; 4) developing a stigma-free culture; 5) creating a comfortable and welcoming physical space; 6) low-threshold care with flexible scheduling; and; 7) reaching beyond the clinic to disseminate harm reduction orientation; and 8) creating robust referral networks to enhance transitions of care. These themes existed at the patient-provider level (#1 to 3), the organizational level (#4 to 6), and the level extending beyond the clinic (#7 to 8). Conclusions: All 3 sites followed 8 common themes in delivering harm reduction–informed care, most of which are consistent with the broader movement toward patient-centered care. These practices demonstrate how medical providers may overcome some of the barriers imposed by the medical model and successfully integrate harm reduction as an orienting framework toward care delivery. (J Am Board Fam Med 2023;36:449–461.)Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them
AbstractWeeks, W. B., Chang, J., Pagán, J. A., Lumpkin, J., Michael, D., Salcido, S., Kim, A., Speyer, P., Aerts, A., Weinstein, J. N., & Lavista, J. M. (n.d.).Publication year
2023Journal title
PLOS Global Public HealthVolume
3Issue
10AbstractWhile rural-urban disparities in health and health outcomes have been demonstrated, because of their impact on (and intervenability to improve) health and health outcomes, we sought to examine cross-sectional and longitudinal inequities in health, clinical care, health behaviors, and social determinants of health (SDOH) between rural and non-rural counties in the pre-pandemic era (2015 to 2019), and to present a Health Equity Dashboard that can be used by policymakers and researchers to facilitate examining such disparities. Therefore, using data obtained from 2015–2022 County Health Rankings datasets, we used analysis of variance to examine differences in 33 county level attributes between rural and non-rural counties, calculated the change in values for each measure between 2015 and 2019, determined whether rural-urban disparities had widened, and used those data to create a Health Equity Dashboard that displays county-level individual measures or compilations of them. We followed STROBE guidelines in writing the manuscript. We found that rural counties overwhelmingly had worse measures of SDOH at the county level. With few exceptions, the measures we examined were getting worse between 2015 and 2019 in all counties, relatively more so in rural counties, resulting in the widening of rural-urban disparities in these measures. When rural-urban gaps narrowed, it tended to be in measures wherein rural counties were outperforming urban ones in the earlier period. In conclusion, our findings highlight the need for policymakers to prioritize rural settings for interventions designed to improve health outcomes, likely through improving health behaviors, clinical care, social and environmental factors, and physical environment attributes. Visualization tools can help guide policymakers and researchers with grounded information, communicate necessary data to engage relevant stakeholders, and track SDOH changes and health outcomes over time.Stakeholder Perspectives on Data-Driven Solutions to Address Cardiovascular Disease and Health Equity in New York City
AbstractLindenfeld, Z., Pagán, J. A., Silver, D., McNeill, E., Mostafa, L., Zein, D., & Chang, J. E. (n.d.).Publication year
2023Journal title
AJPM FocusVolume
2Issue
3AbstractIntroduction: There is growing recognition of the importance of addressing the social determinants of health in efforts to improve health equity. In dense urban environments such as New York City, disparities in chronic health conditions (e.g., cardiovascular disease) closely mimic inequities in social factors such as income, education, and housing. Although there is a wealth of data on these social factors in New York City, little is known about how to rapidly use available data sources to address health disparities. Methods: Semistructured interviews were conducted with key stakeholders (N=11) from across the public health landscape in New York City (health departments, healthcare delivery systems, and community-based organizations) to assess perspectives on how social determinants of health data can be used to address cardiovascular disease and health equity, what data-driven tools would be useful, and challenges to using these data sources and developing tools. A matrix analysis approach was used to analyze the interview data. Results: Stakeholders were optimistic about using social determinants of health data to address health equity by delivering holistic care, connecting people with additional resources, and increasing investments in under-resourced communities. However, interviewees noted challenges related to the quality and timeliness of social determinants of health data, interoperability between data systems, and lack of consistent metrics related to cardiovascular disease and health equity. Conclusions: Future research on this topic should focus on mitigating the barriers to using social determinants of health data, which includes incorporating social determinants of health data from other sectors. There is also a need to assess how data-driven solutions can be implemented within and across communities and organizations.Strategies to support substance use disorder care transitions from acute-care to community-based settings: a scoping review and typology
AbstractKrawczyk, N., Rivera, B. D., Chang, J. E., Grivel, M., Chen, Y. H., Nagappala, S., Englander, H., & McNeely, J. (n.d.).Publication year
2023Journal title
Addiction Science and Clinical PracticeVolume
18Issue
1AbstractBackground: Acute-care interventions that identify patients with substance use disorders (SUDs), initiate treatment, and link patients to community-based services, have proliferated in recent years. Yet, much is unknown about the specific strategies being used to support continuity of care from emergency department (ED) or inpatient hospital settings to community-based SUD treatment. In this scoping review, we synthesize the existing literature on patient transition interventions, and form an initial typology of reported strategies. Methods: We searched Pubmed, Embase, CINAHL and PsychINFO for peer-reviewed articles published between 2000 and 2021 that studied interventions linking patients with SUD from ED or inpatient hospital settings to community-based SUD services. Eligible articles measured at least one post-discharge treatment outcome and included a description of the strategy used to promote linkage to community care. Detailed information was extracted on the components of the transition strategies and a thematic coding process was used to categorize strategies into a typology based on shared characteristics. Facilitators and barriers to transitions of care were synthesized using the Consolidated Framework for Implementation Research. Results: Forty-five articles met inclusion criteria. 62% included ED interventions and 44% inpatient interventions. The majority focused on patients with opioid (71%) or alcohol (31%) use disorder. The transition strategies reported across studies were heterogeneous and often not well described. An initial typology of ten transition strategies, including five pre- and five post-discharge transition strategies is proposed. The most common strategy was scheduling an appointment with a community-based treatment provider prior to discharge. A range of facilitators and barriers were described, which can inform efforts to improve hospital-to-community transitions of care. Conclusions: Strategies to support transitions from acute-care to community-based SUD services, although critical for ensuring continuity of care, vary greatly across interventions and are inconsistently measured and described. More research is needed to classify SUD care transition strategies, understand their components, and explore which lead to the best patient outcomes.Substance Use Disorder Program Availability in Safety-Net and Non-Safety-Net Hospitals in the US
AbstractChang, J. E., Franz, B., Pagán, J. A., Lindenfeld, Z., & Cronin, C. E. (n.d.).Publication year
2023Journal title
JAMA network openVolume
6Issue
8Page(s)
e2331243AbstractImportance: Safety-net hospitals (SNHs) are ideal sites to deliver addiction treatment to patients with substance use disorders (SUDs), but the availability of these services within SNHs nationwide remains unknown. Objective: To examine differences in the delivery of different SUD programs in SNHs vs non-SNHs across the US and to determine whether these differences are increased in certain types of SNHs depending on ownership. Design, Setting, and Participants: This cross-sectional analysis used data from the 2021 American Hospital Association Annual Survey of Hospitals to examine the associations of safety-net status and ownership with the availability of SUD services at acute care hospitals in the US. Data analysis was performed from January to March 2022. Main Outcomes and Measures: This study used 2 survey questions from the American Hospital Association survey to determine the delivery of 5 hospital-based SUD services: screening, consultation, inpatient treatment services, outpatient treatment services, and medications for opioid use disorder (MOUD). Results: A total of 2846 hospitals were included: 409 were SNHs and 2437 were non-SNHs. The lowest proportion of hospitals reported offering inpatient treatment services (791 hospitals [27%]), followed by MOUD (1055 hospitals [37%]), and outpatient treatment services (1087 hospitals [38%]). The majority of hospitals reported offering consultation (1704 hospitals [60%]) and screening (2240 hospitals [79%]). In multivariable models, SNHs were significantly less likely to offer SUD services across all 5 categories of services (screening odds ratio [OR], 0.62 [95% CI, 0.48-0.76]; consultation OR, 0.62 [95% CI, 0.47-0.83]; inpatient services OR, 0.73 [95% CI, 0.55-0.97]; outpatient services OR, 0.76 [95% CI, 0.59-0.99]; MOUD OR, 0.6 [95% CI, 0.46-0.78]). With the exception of MOUD, public or for-profit SNHs did not differ significantly from their non-SNH counterparts. However, nonprofit SNHs were significantly less likely to offer all 5 SUD services compared with their non-SNH counterparts (screening OR, 0.52 [95% CI, 0.41-0.66]; consultation OR, 0.56 [95% CI, 0.44-0.73]; inpatient services OR, 0.45 [95% CI, 0.33-0.61]; outpatient services OR, 0.58 [95% CI, 0.44-0.76]; MOUD OR, 0.61 [95% CI, 0.46-0.79]). Conclusions and Relevance: In this cross-sectional study of SNHs and non-SNHs, SNHs had significantly lower odds of offering the full range of SUD services. These findings add to a growing body of research suggesting that SNHs may face additional barriers to offering SUD programs. Further research is needed to understand these barriers and to identify strategies that support the adoption of evidence-based SUD programs in SNH settings.Synchronous Home-Based Telemedicine for Primary Care: A Review
AbstractLindenfeld, Z., Berry, C., Albert, S., Massar, R., Shelley, D., Kwok, L., Fennelly, K., & Chang, J. E. (n.d.).Publication year
2023Journal title
Medical Care Research and ReviewVolume
80Issue
1Page(s)
3-15AbstractSynchronous home-based telemedicine for primary care experienced growth during the coronavirus disease 2019 pandemic. A review was conducted on the evidence reporting on the feasibility of synchronous telemedicine implementation within primary care, barriers and facilitators to implementation and use, patient characteristics associated with use or nonuse, and quality and cost/revenue-related outcomes. Initial database searches yielded 1,527 articles, of which 22 studies fulfilled the inclusion criteria. Synchronous telemedicine was considered appropriate for visits not requiring a physical examination. Benefits included decreased travel and wait times, and improved access to care. For certain services, visit quality was comparable to in-person care, and patient and provider satisfaction was high. Facilitators included proper technology, training, and reimbursement policies that created payment parity between telemedicine and in-person care. Barriers included technological issues, such as low technical literacy and poor internet connectivity among certain patient populations, and communication barriers for patients requiring translators or additional resources to communicate.Trends in the Prioritization and Implementation of Substance Use Programs by Nonprofit Hospitals: 2015-2021
AbstractChang, J. E., Cronin, C. E., Pagán, J. A., Simon, J., Lindenfeld, Z., & Franz, B. (n.d.).Publication year
2023Journal title
Journal of Addiction MedicineVolume
17Issue
4Page(s)
E217-E223AbstractObjectives Hospitalizations are an important opportunity to address substance use through inpatient services, outpatient care, and community partnerships, yet the extent to which nonprofit hospitals prioritize such services across time remains unknown. The objective of this study is to examine trends in nonprofit hospitals' prioritization and implementation of substance use disorder (SUD) programs. Methods We assessed trends in hospital prioritization of substance use as a top five community need and hospital implementation of SUD programing at nonprofit hospitals between 2015 and 2021 using two waves (wave 1: 2015-2018; wave 2: 2019-2021) by examining hospital community benefit reports. We utilized t or χ2 tests to understand whether there were significant differences in the prioritization and implementation of SUD programs across waves. We used multilevel logistic regression to evaluate the relation between prioritization and implementation of SUD programs, hospital and community characteristics, and wave. Results Hospitals were less likely to have prioritized SUD but more likely to have implemented SUD programs in the most recent 3 years compared, even after adjusting for the local overdose rate and hospital-and community-level variables. Although most hospitals consistently prioritized and implemented SUD programs during the 2015-2021 period, a 11% removed and 15% never adopted SUD programs at all, despite an overall increase in overdose rates. Conclusions Our study identified gaps in hospital SUD infrastructure during a time of elevated need. Failing to address this gap reflects missed opportunities to engage vulnerable populations, provide linkages to treatment, and prevent complications of substance use.Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review
AbstractMcNeill, E., Lindenfeld, Z., Mostafa, L., Zein, D., Silver, D., Pagán, J., Weeks, W. B., Aerts, A., Rosiers, S. D., Boch, J., & Chang, J. E. (n.d.).Publication year
2023Journal title
Journal of the American Heart AssociationVolume
12Issue
21AbstractBACKGROUND: Cardiovascular disease is the leading cause of morbidity and mortality worldwide. Prior research suggests that social determinants of health have a compounding effect on health and are associated with cardiovascular disease. This scoping review explores what and how social determinants of health data are being used to address cardiovascular disease and improve health equity. METHODS AND RESULTS: After removing duplicate citations, the initial search yielded 4110 articles for screening, and 50 studies were identified for data extraction. Most studies relied on similar data sources for social determinants of health, including geo-coded electronic health record data, national survey responses, and census data, and largely focused on health care access and quality, and the neighborhood and built environment. Most focused on developing interventions to improve health care access and quality or characterizing neighborhood risk and individual risk. CONCLUSIONS: Given that few interventions addressed economic stability, education access and quality, or community context and social risk, the potential for harnessing social determinants of health data to reduce the burden of cardiovascular disease remains unrealized.Utilizing Publicly Available Community Data to Address Social Determinants of Health: A Compendium of Data Sources
AbstractLindenfeld, Z., Pagán, J. A., & Chang, J. (n.d.).Publication year
2023Journal title
Inquiry (United States)Volume
60AbstractTo compile a compendium of data sources representing different areas of social determinants of health (SDOH) in New York City. We conducted a PubMed search of the peer-reviewed and gray literature using the terms “social determinants of health” and “New York City,” with the Boolean operator “AND.” We then conducted a search of the “gray literature,” defined as sources outside of standard bibliographic databases, using similar terms. We extracted publicly available data sources containing NYC-based data. In defining SDOH, we used the framework outlined by the CDC’s Healthy People 2030, which uses a place-based framework to categorize 5 domains of SDOH: (1) healthcare access and quality; (2) education access and quality; (3) social and community context; (4) economic stability; and (5) neighborhood and built environment. We identified 29 datasets from the PubMed search, and 34 datasets from the gray literature, resulting in 63 datasets related to SDOH in NYC. Of these, 20 were available at the zip code level, 18 at the census tract-level, 12 at the community-district level, and 13 at the census block or specific address level. Community-level SDOH data are readily attainable from many public sources and can be linked with health data on local geographic-levels to assess the effect of social and community factors on individual health outcomes.Variance of US Hospital Characteristics by Safety-Net Definition
Mcneill, E., Cronin, C., Puro, N., Franz, B., Silver, D., & Chang, J. (n.d.).Publication year
2023Journal title
JAMA network openVolume
6Issue
9Page(s)
E2332392Obesity and Patient Activation: Confidence, Communication, and Information Seeking Behavior
AbstractChang, J. E., Lindenfeld, Z., & Chang, V. W. (n.d.).Publication year
2022Journal title
Journal of Primary Care and Community HealthVolume
13AbstractIntroduction/Objectives: Patient activation describes the knowledge, skills, and confidence that allow patients to actively engage in managing their health. Prior studies have found a strong relationship between patient activation and clinical outcomes, costs of care, and patient experience. Patients who are obese or overweight may be less engaged than normal weight patients due to lower confidence or stigma associated with their weight. The objective of this study is to examine whether weight status is associated with patient activation and its sub-domains (confidence, communication, information-seeking behavior). Methods: This repeated cross-sectional study of the 2011 to 2013 Medicare Current Beneficiary Survey (MCBS) included a nationally representative sample of 13,721 Medicare beneficiaries. Weight categories (normal, overweight, obese) were based on body mass index. Patient activation (high, medium, low) was based on responses to the MCBS Patient Activation Supplement. Results: We found no differences in overall patient activation by weight categories. However, compared to those with normal weight, people with obesity had a higher relative risk (RRR 1.24; CI 1.09-1.42) of “low” rather than “high” confidence. Respondents with obesity had a lower relative risk (RRR 0.82; CI 0.73-0.92) of “low” rather than “high” ratings of communication with their doctor. Discussion and Conclusions: Though patients with obesity may be less confident in their ability to manage their health, they are more likely to view their communication with physicians as conducive to self-care management. Given the high receptivity among patients with obesity toward physician communication, physicians may be uniquely situated to guide and support patients in gaining the confidence they need to reach weight loss goals.