Ji E Chang
Ji E Chang
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Associate Professor of Public Health Policy and Management
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Professional overview
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Ji Eun Chang, Ph.D., is an Associate 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
Rural-urban disparities in the availability of hospital-based screening, medications for opioid use disorder, and addiction consult services
AbstractFranz, B., Cronin, C. E., Lindenfeld, Z., Pagan, J. A., Lai, A. Y., Krawczyk, N., Rivera, B. D., & Chang, J. E. (n.d.).Publication year
2024Journal title
Journal of Substance Use and Addiction TreatmentVolume
160AbstractIntroduction: Hospitals are an ideal setting to stage opioid-related interventions with patients who are hospitalized due to overdose or other substance use–related complications. Transitional opioid programs—which initiate care and provide linkages upon discharge, such as screening, initiation of medications for opioid use disorder, and addiction consult services—have become the gold standard, but implementation has been uneven. The purpose of this study was to assess disparities in the availability of hospital-based transitional opioid programs, across rural and urban hospital settings in the United States. Methods: Using hospital administrative data paired with county-level demographic data, we conducted bivariate and regression analyses to assess rural-urban differences in the availability of transitional opioid services including screening, addiction consult services, and MOUD in U.S general medical centers, controlling for hospital- and community-level factors. Our sample included 2846 general medical hospitals that completed the 2021 American Hospital Association (AHA) Annual Survey of Hospitals. Our primary outcomes were five self-reported measures: whether the hospital provided screening in the ED; provided screening in the inpatient setting; whether the hospital provided addiction consult services in the ED; provided addiction consult services in the inpatient setting; and whether the hospital provided medications for opioid use disorder. Results: Rural hospitals did not have lower odds of screening for OUD or other SUDs than urban hospitals, but both micropolitan rural counties and noncore rural counties had significantly lower odds of having addiction consult services in either the ED (OR: 0.74, 95 % CI: 0.58, 0.95; OR: 0.68, 95 % CI: 0.50, 0.91) or inpatient setting (OR: 0.76, 95 % CI: 0.59, 0.97; OR: 0.68, 95 % CI: 0.50, 0.93), respectively, or of offering MOUD (OR: 0.69, 95 % CI: 0.52, 0.90; OR: 0.52, 95 % CI: 0.37, 0.74). Conclusions: Our study suggests that evidence-based interventions, such as medications for opioid use disorder and addiction consult services, are less often available in rural hospitals, which may contribute to rural-urban disparities in health outcomes secondary to OUD. A priority for population health improvement should be developing implementation strategies to support rural hospital adoption of transitional opioid programs.Rural-urban disparities in the availability of hospital-based screening, medications for opioid use disorder, and addiction consult services.
AbstractChang, J. E., Franz, B., Cronin, C. E., Lindenfeld, Z., Pagan, J. A., Lai, A. Y., Krawczyk, N., Rivera, B. D., & Chang, J. E. (n.d.).Publication year
2024Journal title
Journal of Substance Use and Addiction TreatmentIssue
2949-8759 (Electronic)Abstract~Senior Author: Team Based Care in Primary Care Settings: A Scoping Review
AbstractChang, J. E. (n.d.).Publication year
2023Abstract~Stakeholder Perspectives on Data-Driven Solutions to Address Cardiovascular Disease and Health Equity in New York City
AbstractChang, J. E., Lindenfeld, Z., Pagán, J. A., Silver, D., McNeill, E., Mostafa, L., Zein, D., & Chang, J. E. E. (n.d.).Publication year
2023Journal title
AJPM focusVolume
2Issue
3Page(s)
100093AbstractThere 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.Stakeholder Perspectives on Data-Driven Solutions to Address Cardiovascular Disease and Health Equity in New York City
AbstractLindenfeld, Z., Pagán, J. A., Silver, D. R., 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.Strategies to support substance use disorder care transitions from acute-care to community-based settings: a scoping review and typology
AbstractChang, J. E., Krawczyk, N., Rivera, B. D., Chang, J. E., Grivel, M., Chen, Y.-H. H., Nagappala, S., Englander, H., & McNeely, J. (n.d.).Publication year
2023Journal title
Addiction science & clinical practiceVolume
18Issue
1Page(s)
67AbstractAcute-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.Substance Use Disorder Program Availability in Safety-Net and Non-Safety-Net Hospitals in the US
AbstractChang, J. E., Chang, J. E., Franz, B., Pagán, J. A., Lindenfeld, Z., & Cronin, C. E. (n.d.).Publication year
2023Journal title
JAMA network openVolume
6Issue
8Page(s)
e2331243AbstractSafety-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.Suicide ideation and behavior disparities among high school students: Examining Asian and multiracial race/ethnicity groups
AbstractChoi, S., & Chang, J. E. (n.d.).Publication year
2024Abstract~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
2022Journal title
Medical Care Research and ReviewAbstractSynchronous 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.Telehealth use during the early COVID-19 public health emergency and subsequent health care costs and utilization
AbstractChang, J. E., Lee, J. S. S., Bhatt, A., Pollack, L. M., Jackson, S. L., Chang, J. E. E., Tong, X., & Luo, F. (n.d.).Publication year
2024Journal title
Health affairs scholarVolume
2Issue
1AbstractTelehealth utilization increased during the COVID-19 pandemic, yet few studies have documented associations of telehealth use with subsequent medical costs and health care utilization. We examined associations of telehealth use during the early COVID-19 public health emergency (March-June 2020) with subsequent total medical costs and health care utilization among people with heart disease (HD). We created a longitudinal cohort of individuals with HD using MarketScan Commercial Claims data (2018-2022). We used difference-in-differences methodology adjusting for patients' characteristics, comorbidities, COVID-19 infection status, and number of in-person visits. We found that using telehealth during the stay-at-home order period was associated with a reduction in total medical costs (by -$1814 per person), number of emergency department visits (by -88.6 per 1000 persons), and number of inpatient admissions (by -32.4 per 1000 persons). Telehealth use increased per-person per-year pharmacy prescription claims (by 0.514) and average number of days' drug supply (by 0.773 days). These associated benefits of telehealth use can inform decision makers, insurance companies, and health care professionals, especially in the context of disrupted health care access.Telephone vs. video visits during COVID-19 : Safety-net provider perspectives
AbstractChang, J. E., Lindenfeld, Z., Albert, S. L., Massar, R., Shelley, D., Kwok, L., Fennelly, K., & Berry, C. A. (n.d.).Publication year
2021Journal title
Journal of the American Board of Family MedicineVolume
34Issue
6Page(s)
1103-1114AbstractObjective: To review the frequency as well as the pros and cons of telephone and video-enabled telemedicine during the first 9 months of the Coronavirus disease 2019 (COVID-19) pandemic as experienced by safety net providers across New York State (NYS). Methods: Analysis of visits to 36 community health centers (CHCs) in NYS by modality (telephone vs video) from February to November 2020. Semi-structured interviews with 25 primary care, behavioral health, and pediatric providers from 8 CHCs. Findings: In the week following the NYS stay-at-home order, video and telephone visits rose from 3.4 and 0% of total visits to 14.9 and 22.3%. At its peak, more than 60% of visits were conducted via telemedicine (April 2020) before tapering off to about 30% of visits (August 2020). Providers expressed a strong preference for video visits, particularly for situations when visual assessments were needed. Yet, more visits were conducted over telephone than video at all points throughout the pandemic. Video-specific advantages included enhanced ability to engage patients and use of visual cues to get a comprehensive look into the patient’s life, including social supports, hygiene, and medication adherence. Telephone presented unique benefits, including greater privacy, feasibility, and ease of use that make it critical to engage with key populations and as a backup for when video was not an option. Conclusions: Despite challenges, providers reported positive experiences delivering care remotely using both telephone and video during the COVID-19 pandemic and believe both modalities are critical for enabling access to care in the safety net.The Ecology of Economic Distress and Life Expectancy
AbstractChang, J. E., Weeks, W. B. B., Chang, J. E., Pagán, J. A., Adamson, E., Weinstein, J., & Ferres, J. M. L. (n.d.).Publication year
2024Journal title
International journal of public healthVolume
69Page(s)
1607295AbstractTo determine whether life expectancy (LE) changes between 2000 and 2019 were associated with race, rural status, local economic prosperity, and changes in local economic prosperity, at the county level.The Ecology of Economic Distress and Life Expectancy
AbstractWeeks, W. B., Chang, J. E., Pagán, J. A., Adamson, E., Weinstein, J., & Ferres, J. M. (n.d.).Publication year
2024Journal title
International Journal of Public HealthVolume
69AbstractObjectives: To determine whether life expectancy (LE) changes between 2000 and 2019 were associated with race, rural status, local economic prosperity, and changes in local economic prosperity, at the county level. Methods: Between 12/1/22 and 2/28/23, we conducted a retrospective analysis of 2000 and 2019 data from 3,123 United States counties. For Total, White, and Black populations, we compared LE changes for counties across the rural-urban continuum, the local economic prosperity continuum, and for counties in which local economic prosperity dramatically improved or declined. Results: In both years, overall, across the rural-urban continuum, and for all studied populations, LE decreased with each progression from the most to least prosperous quintile (all p < 0.001); improving county prosperity between 2000–2019 was associated with greater LE gains (p < 0.001 for all). Conclusion: At the county level, race, rurality, and local economic distress were all associated with LE; improvements in local economic conditions were associated with accelerated LE. Policymakers should appreciate the health externalities of investing in areas experiencing poor economic prosperity if their goal is to improve population health.Toward a Consensus on Strategies to Support Opioid Use Disorder Care Transitions Following Hospitalization : A Modified Delphi Process
AbstractKrawczyk, N., Miller, M., Englander, H., Rivera, B. D., Schatz, D., Chang, J. E., Cerdá, M., Berry, C., & McNeely, J. (n.d.).Publication year
2024Journal title
Journal of general internal medicineAbstractBackground: Despite proliferation of acute-care interventions to initiate medications for opioid use disorder (MOUD), significant challenges remain to supporting care continuity following discharge. Research is needed to inform effective hospital strategies to support patient transitions to ongoing MOUD in the community. Objective: To inform a taxonomy of care transition strategies to support MOUD continuity from hospital to community-based settings and assess their perceived impact and feasibility among experts in the field. Design: A modified Delphi consensus process through three rounds of electronic surveys. Participants: Experts in hospital-based opioid use disorder (OUD) treatment, care transitions, and hospital-based addiction treatment. Main Measures: Delphi participants rated the impact and feasibility of 14 OUD care transition strategies derived from a review of the scientific literature on a scale from 1 to 9 over three survey rounds. Panelists were invited to suggest additional care transition strategies. Agreement level was calculated based on proportion of ratings within three points of the median. Key Results: Forty-five of 71 invited panelists participated in the survey. Agreement on impact was strong for 12 items and moderate for 10. Agreement on feasibility was strong for 11 items, moderate for 7, and poor for 4. Strategies with highest ratings on impact and feasibility included initiation of MOUD in-hospital and provision of buprenorphine prescriptions or medications before discharge. All original 14 strategies and 8 additional strategies proposed by panelists were considered medium- or high-impact and were incorporated into a final taxonomy of 22 OUD care transition strategies. Conclusions: Our study established expert consensus on impactful and feasible hospital strategies to support OUD care transitions from the hospital to community-based MOUD treatment, an area with little empirical research thus far. It is the hope that this taxonomy serves as a stepping-stone for future evaluations and clinical practice implementation toward improved MOUD continuity and health outcomes.Trends in the availability of comprehensive services within outpatient substance use treatment facilities from 2018 to 2022
AbstractChang, J. E., Lindenfeld, Z., Cantor, J. H., & Chang, J. E. (n.d.).Publication year
2024Journal title
The American journal of drug and alcohol abuseVolume
50Issue
5Page(s)
715-726AbstractLittle is known regarding the extent to which substance use disorder (SUD) treatment facilities adopt comprehensive services to meet patients' medical and social needs. To examine trends in the availability of comprehensive services within outpatient SUD treatment facilities from 2018 to 2022. We used data from the Mental Health and Addiction Treatment Tracking Repository, a national database of SUD treatment facilities ( = 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. 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. 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.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.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.Trends in the Prioritization and Implementation of Substance Use Programs by Nonprofit Hospitals: 2015-2021
AbstractChang, J. E., Chang, J. E. E., Cronin, C. E., Pagán, J. A., Simon, J., Lindenfeld, Z., & Franz, B. (n.d.).Publication year
2025Journal title
Journal of addiction medicineVolume
17Issue
4Page(s)
e217-e223AbstractHospitalizations 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.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. R., 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.Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review
AbstractChang, J. E., McNeill, E., Lindenfeld, Z., Mostafa, L., Zein, D., Silver, D., Pagán, J., Weeks, W. B., Aerts, A., Des Rosiers, S., Boch, J., & Chang, J. E. E. (n.d.).Publication year
2023Journal title
Journal of the American Heart AssociationVolume
12Issue
21Page(s)
e030571AbstractBackground 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 geocoded 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. E. (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
AbstractMcneill, E., Cronin, C., Puro, N., Franz, B., Silver, D. R., & Chang, J. E. (n.d.).Publication year
2023Journal title
JAMA network openVolume
6Issue
9Page(s)
E2332392Abstract~