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Ibrahim R, Pham HN, Ganatra S, Javed Z, Nasir K, Al-Kindi S. Social Phenotyping for Cardiovascular Risk Stratification in Electronic Health Registries. Curr Atheroscler Rep 2024; 26:485-497. [PMID: 38976220 DOI: 10.1007/s11883-024-01222-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/08/2024] [Indexed: 07/09/2024]
Abstract
PURPOSE OF REVIEW Evaluation of social influences on cardiovascular care requires a comprehensive analysis encompassing economic, societal, and environmental factors. The increased utilization of electronic health registries provides a foundation for social phenotyping, yet standardization in methodology remains lacking. This review aimed to elucidate the primary approaches to social phenotyping for cardiovascular risk stratification through electronic health registries. RECENT FINDINGS Social phenotyping in the context of cardiovascular risk stratification within electronic health registries can be separated into four principal approaches: place-based metrics, questionnaires, ICD Z-coding, and natural language processing. These methodologies vary in their complexity, advantages and limitations, and intended outcomes. Place-based metrics often rely on geospatial data to infer socioeconomic influences, while questionnaires may directly gather individual-level behavioral and social factors. Z-coding, a relatively new approach, can capture data directly related to social determinant of health domains in the clinical context. Natural language processing has been increasingly utilized to extract social influences from unstructured clinical narratives-offering nuanced insights for risk prediction models. Each method plays an important role in our understanding and approach to using social determinants data for improving population cardiovascular health. These four principal approaches to social phenotyping contribute to a more structured approach to social determinant of health research via electronic health registries, with a focus on cardiovascular risk stratification. Social phenotyping related research should prioritize refining predictive models for cardiovascular diseases and advancing health equity by integrating applied implementation science into public health strategies.
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Affiliation(s)
- Ramzi Ibrahim
- Department of Medicine, University of Arizona Tucson, Tucson, AZ, USA
| | - Hoang Nhat Pham
- Department of Medicine, University of Arizona Tucson, Tucson, AZ, USA
| | - Sarju Ganatra
- Division of Cardiovascular Medicine, Department of Medicine, Lahey Hospital and Medical Center, Burlington, MA, USA
| | - Zulqarnain Javed
- DeBakey Heart and Vascular Center, Houston Methodist, Houston, TX, USA
| | - Khurram Nasir
- DeBakey Heart and Vascular Center, Houston Methodist, Houston, TX, USA
| | - Sadeer Al-Kindi
- DeBakey Heart and Vascular Center, Houston Methodist, Houston, TX, USA.
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Drake C, Alfaro JM, Rader A, Maciejewski ML, Lee MS, Xu H, Wilson LE, Berkowitz SA, Eisenson H. Association of Patient-Reported Social Needs with Emergency Department Visits and Hospitalizations Among Federally Qualified Health Center Patients. J Gen Intern Med 2024; 39:2069-2078. [PMID: 38717665 PMCID: PMC11306909 DOI: 10.1007/s11606-024-08774-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 04/17/2024] [Indexed: 08/09/2024]
Abstract
BACKGROUND Health care systems are increasingly screening for unmet social needs. The association between patient-reported social needs and health care utilization is not well understood. OBJECTIVE To investigate the association between patient-reported social needs, measured by the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE), and inpatient and emergency department (ED) utilization. DESIGN This cohort study analyzed merged 2017-2019 electronic health record (EHR) data across multiple health systems. PARTICIPANTS Adult patients from a federally qualified health center (FQHC) in central North Carolina who completed PRAPARE as part of a primary care visit with behavioral health services. MAIN MEASURES The count of up to 12 unmet social needs, aggregated as 0, 1, 2, or 3 + . Outcomes include the probability of an ED visit and hospitalization 12 months after PRAPARE assessment, modeled by logistic regressions controlling for age, sex, race, ethnicity, comorbidity burden, being uninsured, and prior utilization in the past 12 months. KEY RESULTS The study population consisted of 1924 adults (38.7% male, 50.1% Black, 36.3% Hispanic, 55.9% unemployed, 68.2% of patients reported 1 + needs). Those with more needs were younger, more likely to be unemployed, and experienced greater comorbidity burden. 35.3% of patients had ED visit(s) and 36.3% had hospitalization(s) 1 year after PRAPARE assessment. In adjusted analysis, having 3 + needs was associated with a percentage point increase in the predicted probability of hospitalization (average marginal effect 0.06, SE 0.03, p < 0.05) compared with having 0 needs. Similarly, having 2 needs (0.07, SE 0.03, p < 0.05) or 3 + needs (0.06, SE 0.03, p < 0.05) was associated with increased probability of ED visits compared to 0 needs. CONCLUSIONS Patient-reported social needs were common and associated with health care utilization patterns. Future research should identify interventions to address unmet social needs to improve health and avoid potentially preventable escalating medical intervention.
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Affiliation(s)
- Connor Drake
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA.
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
| | - Jorge Morales Alfaro
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
- Duke University, Sanford School of Public Policy, Durham, NC, USA
- UC Berkeley School of Public Health, Berkeley, CA, USA
| | - Abigail Rader
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Matthew L Maciejewski
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Michael S Lee
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Hanzhang Xu
- Duke University School of Nursing, Durham, NC, USA
- Department of Family Medicine and Community Health, Duke University School of Medicine, Durham, NC, USA
| | - Lauren E Wilson
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Seth A Berkowitz
- Department of Medicine, Division of General Internal Medicine and Clinical Epidemiology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Howard Eisenson
- Department of Family Medicine and Community Health, Duke University School of Medicine, DUMC Box 2914, Durham, NC, USA
- Lincoln Community Health Center, Durham, NC, USA
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Kim RG, Ballantyne A, Conroy MB, Price JC, Inadomi JM. Screening for social determinants of health among populations at risk for MASLD: a scoping review. Front Public Health 2024; 12:1332870. [PMID: 38660357 PMCID: PMC11041393 DOI: 10.3389/fpubh.2024.1332870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 03/26/2024] [Indexed: 04/26/2024] Open
Abstract
Background Social determinants of health (SDoH) have been associated with disparate outcomes among those with metabolic dysfunction-associated steatotic liver disease (MASLD) and its risk factors. To address SDoH among this population, real-time SDoH screening in clinical settings is required, yet optimal screening methods are unclear. We performed a scoping review to describe the current literature on SDoH screening conducted in the clinical setting among individuals with MASLD and MASLD risk factors. Methods Through a systematic literature search of MEDLINE, Embase, and CINAHL Complete databases through 7/2023, we identified studies with clinic-based SDoH screening among individuals with or at risk for MASLD that reported pertinent clinical outcomes including change in MASLD risk factors like diabetes and hypertension. Results Ten studies (8 manuscripts, 2 abstracts) met inclusion criteria involving 148,151 patients: 89,408 with diabetes and 25,539 with hypertension. Screening was primarily completed in primary care clinics, and a variety of screening tools were used. The most commonly collected SDoH were financial stability, healthcare access, food insecurity and transportation. Associations between clinical outcomes and SDoH varied; overall, higher SDoH burden was associated with poorer outcomes including elevated blood pressure and hemoglobin A1c. Conclusion Despite numerous epidemiologic studies showing associations between clinical outcomes and SDoH, and guidelines recommending SDoH screening, few studies describe in-clinic SDoH screening among individuals with MASLD risk factors and none among patients with MASLD. Future research should prioritize real-time, comprehensive assessments of SDoH, particularly among patients at risk for and with MASLD, to mitigate disease progression and reduce MASLD health disparities.
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Affiliation(s)
- Rebecca G. Kim
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
| | - April Ballantyne
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
| | - Molly B. Conroy
- Division of General Internal Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
| | - Jennifer C. Price
- Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Francisco, San Francisco, CA, United States
| | - John M. Inadomi
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
- Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, United States
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Patel MR, Zhang G, Heisler M, Piette JD, Resnicow K, Choe HM, Shi X, Song P. A Randomized Controlled Trial to Improve Unmet Social Needs and Clinical Outcomes Among Adults with Diabetes. J Gen Intern Med 2024:10.1007/s11606-024-08708-8. [PMID: 38467918 DOI: 10.1007/s11606-024-08708-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/27/2024] [Indexed: 03/13/2024]
Abstract
BACKGROUND Adults with type 1 or type 2 diabetes often face financial challenges and other unmet social needs to effective diabetes self-management. OBJECTIVE Whether a digital intervention focused on addressing socioeconomic determinants of health improves diabetes clinical outcomes more than usual care. DESIGN Randomized trial from 2019 to 2023. PARTICIPANTS A total of 600 adults with diabetes, HbA1c ≥ 7.5%, and self-reported unmet social needs or financial burden from a health system and randomized to the intervention or standard care. INTERVENTION CareAvenue is an automated, e-health intervention with eight videos that address unmet social needs contributing to poor outcomes. MEASURES Primary outcome was HbA1c, measured at baseline, and 6 and 12 months after randomization. Secondary outcomes included systolic blood pressure and reported met social needs, cost-related non-adherence (CRN), and financial burden. We examined main effects and variation in effects across predefined subgroups. RESULTS Seventy-eight percent of CareAvenue participants completed one or more modules of the website. At 12-month follow-up, there were no significant differences in HbA1c changes between CareAvenue and control group (p = 0.24). There were also no significant between-group differences in systolic blood pressure (p = 0.29), met social needs (p = 0.25), CRN (p = 0.18), and perceived financial burden (p = 0.31). In subgroup analyses, participants with household incomes 100-400% FPL (1.93 (SE = 0.76), p < 0.01), 201-400% FPL (1.30 (SE = 0.62), p < 0.04), and > 400% FPL (1.27 (SE = 0.64), p < 0.05) had significantly less A1c decreases compared to the control group. CONCLUSIONS On average, CareAvenue participants did not achieve better A1c lowering, met needs, CRN, or perceived financial burden compared to control participants. CareAvenue participants with higher incomes achieved significantly less A1c reductions than control. Further research is needed on social needs interventions that consider tailored approaches to population subgroups. CLINICAL TRIALS REGISTRY ClinicalTrials.gov ID NCT03950973, May 2019.
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Affiliation(s)
- Minal R Patel
- Department of Health Behavior & Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA.
| | - Guanghao Zhang
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Michele Heisler
- Department of Health Behavior & Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
- U.S. Department of Veterans Affairs VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - John D Piette
- Department of Health Behavior & Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA
- U.S. Department of Veterans Affairs VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Kenneth Resnicow
- Department of Health Behavior & Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Hae-Mi Choe
- College of Pharmacy, University of Michigan, Ann Arbor, MI, USA
- University of Michigan Medical Group, Ann Arbor, MI, USA
| | - Xu Shi
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Peter Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
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Singer AR, Coleman KF, Mahmud A, Holden E, Stefanik-Guizlo K. Assessing the Feasibility of an Empathic Inquiry Approach to Social Needs Screening in 10 Federally Qualified Health Centers. Perm J 2023; 27:136-142. [PMID: 37830869 PMCID: PMC10723089 DOI: 10.7812/tpp/22.178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
OBJECTIVES Despite an increasing emphasis from health care organizations on patients' social health, there is debate about how best to screen patients for social health needs in practice. Empathic Inquiry is a patient-centered approach to asking about patients' social needs that incorporates motivational interviewing and trauma-informed care techniques to increase patient experience of trustworthiness and safety with their care teams. The purpose of this brief report is to describe the feasibility and acceptability of implementing an Empathic Inquiry-informed approach to social needs screening in 10 federally qualified health centers. METHODS Clinical staff at community health centers implemented Empathic Inquiry as part of an 8-month learning collaborative. Patients completed surveys about their experience with Empathic Inquiry after screening conversations took place. Qualitative data on organizational implementation experience were collected monthly during 2018. FINDINGS Eight of 10 organizations completed the learning collaborative and implemented Empathic Inquiry in practice. Of 132 patient surveys received, patients agreed (64% strongly agree, 28% somewhat agree) that being screened for social needs strengthened their relationship with their care team and 83% strongly agreed the conversation was a good use of time. Most patients (54%) indicated social health screening was appropriate at every visit, and 27% answered once every 6 months. CONCLUSIONS The Empathic Inquiry approach to understanding patients' social needs was feasible for implementation in community settings. Patients said the conversations were worthwhile, built trust with their care teams, and should be conducted every 6 months or more frequently.
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Affiliation(s)
- Ariel R Singer
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Katie F Coleman
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Ammarah Mahmud
- Kaiser Permanente Washington Health Research Institute; University of Washington, Seattle, WA, USA
| | - Erika Holden
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
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McNeill E, Lindenfeld Z, Mostafa L, Zein D, Silver D, Pagán J, Weeks WB, Aerts A, Des Rosiers S, Boch J, Chang JE. Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review. J Am Heart Assoc 2023; 12:e030571. [PMID: 37929716 PMCID: PMC10727404 DOI: 10.1161/jaha.123.030571] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 09/06/2023] [Indexed: 11/07/2023]
Abstract
Background 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.
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Affiliation(s)
- Elizabeth McNeill
- Department of Public Health Policy and ManagementNew York University School of Global Public HealthNew YorkNYUSA
| | - Zoe Lindenfeld
- Department of Public Health Policy and ManagementNew York University School of Global Public HealthNew YorkNYUSA
| | - Logina Mostafa
- Department of Public Health Policy and ManagementNew York University School of Global Public HealthNew YorkNYUSA
| | - Dina Zein
- Department of Public Health Policy and ManagementNew York University School of Global Public HealthNew YorkNYUSA
| | - Diana Silver
- Department of Public Health Policy and ManagementNew York University School of Global Public HealthNew YorkNYUSA
| | - José Pagán
- Department of Public Health Policy and ManagementNew York University School of Global Public HealthNew YorkNYUSA
| | - William B. Weeks
- Microsoft Corporation, Precision Population Health, Microsoft ResearchRedmondWAUSA
| | - Ann Aerts
- The Novartis FoundationBaselSwitzerland
| | | | | | - Ji Eun Chang
- Department of Public Health Policy and ManagementNew York University School of Global Public HealthNew YorkNYUSA
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Drake C, Alfaro JM, Blalock DV, Ito K, Batch BC, Bosworth HB, Berkowitz SA, Zullig LL. Association of Unmet Social Needs With Metformin Use Among Patients With Type 2 Diabetes. Diabetes Care 2023; 46:2044-2049. [PMID: 37756533 PMCID: PMC10620532 DOI: 10.2337/dc23-0448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 08/23/2023] [Indexed: 09/29/2023]
Abstract
OBJECTIVE To evaluate the relationship between social needs and metformin use among adults with type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS In a prospective cohort study of adults with T2D (n = 722), we linked electronic health record (EHR) and Surescripts (Surescripts, LLC) prescription network data to abstract data on patient-reported social needs and to calculate metformin adherence based on expected refill frequency using a proportion of days covered methodology. RESULTS After adjusting for demographics and clinical complexity, two or more social needs (-0.046; 95% CI -0.089, 0.003), being uninsured (-0.052; 95% CI -0.095, -0.009) and while adjusting for other needs, being without housing (-0.069; 95% CI -0.121, -0.018) and lack of access to medicine/health care (-0.058; 95% CI -0.115, -0.000) were associated with lower use. CONCLUSIONS We found that overall social need burden and specific needs, particularly housing and health care access, were associated with clinically significant reductions in metformin adherence among patients with T2D.
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Affiliation(s)
- Connor Drake
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC
| | - Jorge Morales Alfaro
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Dan V. Blalock
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC
| | | | - Bryan C. Batch
- Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Hayden B. Bosworth
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC
- Department of Medicine, Duke University School of Medicine, Durham, NC
- Duke University School of Nursing, Durham, NC
| | - Seth A. Berkowitz
- Division of General Internal Medicine and Clinical Epidemiology, Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC
| | - Leah L. Zullig
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC
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Granger BB, Engel J. Measurement Strategies for The Joint Commission Health Care Disparities Standard: Defining Hospital-Based Requirements-Part 1. AACN Adv Crit Care 2023; 34:154-160. [PMID: 37289620 DOI: 10.4037/aacnacc2023668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Affiliation(s)
- Bradi B Granger
- Bradi B. Granger is Director, Heart Center Nursing Research Program, Duke University Health System, and Professor, Duke University School of Nursing, 307 Trent Dr, Durham, NC 27710
| | - Jill Engel
- Jill Engel is Vice President, Heart and Vascular Services, Duke University Health System, Durham, North Carolina
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Howell CR, Bradley H, Zhang L, Cleveland JD, Long D, Horton T, Krantz O, Mugavero MJ, Williams WL, Amerson A, Cherrington AL. Real-world integration of the protocol for responding to and assessing patients' assets, risks, and experiences tool to assess social determinants of health in the electronic medical record at an academic medical center. Digit Health 2023; 9:20552076231176652. [PMID: 37252259 PMCID: PMC10214080 DOI: 10.1177/20552076231176652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 05/02/2023] [Indexed: 05/31/2023] Open
Abstract
Objective To describe the real-world deployment of a tool, the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE), to assess social determinants of health (SDoH) in an electronic medical record (EMR). Methods We employed the collection of the PRAPARE tool in the EMR of a large academic health system in the ambulatory clinic and emergency department setting. After integration, we evaluated SDoH prevalence, levels of missingness, and data anomalies to inform ongoing collection. We summarized responses using descriptive statistics and hand-reviewed data text fields and patterns in the data. Data on patients who were administered with the PRAPARE from February to December 2020 were extracted from the EMR. Patients missing ≥ 12 PRAPARE questions were excluded. Social risks were screened using the PRAPARE. Information on demographics, admittance status, and health coverage were extracted from the EMR. Results Assessments with N = 6531 were completed (mean age 54 years, female (58.6%), 43.8% Black). Missingness ranged from 0.4% (race) to 20.8% (income). Approximately 6% of patients were homeless; 8% reported housing insecurity; 1.4% reported food needs; 14.6% had healthcare needs; 8.4% needed utility assistance; and 5% lacked transportation related to medical care. Emergency department patients reported significantly higher proportions of suboptimal SDoH. Conclusions Integrating the PRAPARE assessment in the EMR provides valuable information on SDoH amenable to intervention, and strategies are needed to increase accurate data collection and to improve the use of data in the clinical encounter.
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Affiliation(s)
- Carrie R Howell
- Department of Medicine, Division of
Preventive Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Heather Bradley
- Care Transitions, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Li Zhang
- Department of Biostatistics, School of
Public Health, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - John D Cleveland
- Department of Biostatistics, School of
Public Health, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Dustin Long
- Department of Biostatistics, School of
Public Health, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Trudi Horton
- Department of Medicine, Division of
Preventive Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Olivia Krantz
- Department of Medicine, Division of
Preventive Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Michael J Mugavero
- Department of Medicine, Division of
Infectious Diseases, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Winter L Williams
- Department of Medicine, Division of
General Internal Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Alesha Amerson
- Department of Medicine, Division of
Preventive Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Andrea L Cherrington
- Department of Medicine, Division of
Preventive Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
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Abstract
PURPOSE OF REVIEW Social determinants of health (SDH) are factors that affect patient health outcomes outside the hospital. SDH are "conditions in the environments where people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning, and quality-of-life outcomes and risks." Current literature has shown SDH affecting patient reported outcomes in various specialties; however, there is a dearth in research relating spine surgery with SDH. The aim of this review article is to identify connections between SDH and post-operative outcomes in spine surgery. These are important, yet understudied predictors that can impact health outcomes and affect health equity. RECENT FINDINGS Few studies have shown associations between SDH pillars (environment, race, healthcare, economic, and education) and spine surgery outcomes. The most notable relationships demonstrate increased disability, return to work time, and pain with lower income, education, environmental locations, healthcare status and/or provider. Despite these findings, there remains a significant lack of understanding between SDH and spine surgery. Our manuscript reviews the available literature comparing SDH with various spine conditions and surgeries. We organized our findings into the following narrative themes: 1) education, 2) geography, 3) race, 4) healthcare access, and 5) economics.
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Association of Social Needs and Healthcare Utilization Among Medicare and Medicaid Beneficiaries in the Accountable Health Communities Model. J Gen Intern Med 2022; 37:3692-3699. [PMID: 35132551 PMCID: PMC9585111 DOI: 10.1007/s11606-022-07403-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 01/05/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Integration of health-related social needs (HRSNs) data into clinical care is recognized as a driver for improving healthcare. However, few published studies on HRSNs and their impact are available. CMS sought to fill this gap through the Accountable Health Communities (AHC) Model, a national RCT of HRSN screening, referral, and navigation. Data from the AHC Model could significantly advance the field of HRSN screening and intervention in the USA. OBJECTIVE To present data from the Greater Houston AHC (GH-AHC) Model site on HRSN frequency and the association between HRSNs, sociodemographic factors, and self-reported ED utilization using a cross-sectional design. Analyses included descriptive statistics and multinomial logistic regression. PARTICIPANTS (OR PATIENTS OR SUBJECTS) All community-dwelling Medicare, Medicaid, or dually covered beneficiaries at participating GH-AHC clinical delivery sites were eligible. MAIN MEASURES Self-reported ED utilization in the previous 12 months served as the outcome; demographic characteristics including race, ethnicity, age, sex, income, education level, number of people living in the household, and insurance type were treated as covariates. HRSNs included food insecurity, housing instability, transportation, difficulty paying utility bills, and interpersonal safety. Clinical delivery site type was used as the clustering variable. KEY RESULTS Food insecurity was the most common HRSN identified (38.7%) followed by housing instability (29.0%), transportation (28.0%), and difficulty paying utility bills (26.7%). Interpersonal safety was excluded due to low prevalence. More than half of the beneficiaries (56.9%) reported at least one of the four HRSNs. After controlling for covariates, having multiple co-occurring HRSNs was strongly associated with increased risk of two or more ED visits (OR 1.8-9.47 for two to four needs, respectively; p < 0.001). Beneficiaries with four needs were at almost 10 times higher risk of frequent ED utilization (p < 0.001). CONCLUSIONS To our knowledge, this is only the second published study to report screening data from the AHC Model. Future research focused on the impact of multiple co-occurring needs on health outcomes is warranted.
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Drake C, Lewinski AA, Rader A, Schexnayder J, Bosworth HB, Goldstein KM, Gierisch J, White-Clark C, McCant F, Zullig LL. Addressing Hypertension Outcomes Using Telehealth and Population Health Managers: Adaptations and Implementation Considerations. Curr Hypertens Rep 2022; 24:267-284. [PMID: 35536464 PMCID: PMC9087161 DOI: 10.1007/s11906-022-01193-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2022] [Indexed: 01/13/2023]
Abstract
PURPOSE OF REVIEW There is a growing evidence base describing population health approaches to improve blood pressure control. We reviewed emerging trends in hypertension population health management and present implementation considerations from an intervention called Team-supported, Electronic health record-leveraged, Active Management (TEAM). By doing so, we highlight the role of population health managers, practitioners who use population level data and to proactively engage at-risk patients, in improving blood pressure control. RECENT FINDINGS Within a population health paradigm, we discuss telehealth-delivered approaches to equitably improve hypertension care delivery. Additionally, we explore implementation considerations and complementary features of team-based, telehealth-delivered, population health management. By leveraging the unique role and expertise of a population health manager as core member of team-based telehealth, health systems can implement a cost-effective and scalable intervention that addresses multi-level barriers to hypertension care delivery. We describe the literature of telehealth-based population health management for patients with hypertension. Using the TEAM intervention as a case study, we then present implementation considerations and intervention adaptations to integrate a population health manager within the health care team and effectively manage hypertension for a defined patient population. We emphasize practical considerations to inform implementation, scaling, and sustainability. We highlight future research directions to advance the field and support translational efforts in diverse clinical and community contexts.
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Affiliation(s)
- Connor Drake
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27701, USA.
| | - Allison A Lewinski
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA
- School of Nursing, Duke University, Durham, NC, USA
| | - Abigail Rader
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27701, USA
| | - Julie Schexnayder
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA
| | - Hayden B Bosworth
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27701, USA
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- School of Nursing, Duke University, Durham, NC, USA
| | - Karen M Goldstein
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jennifer Gierisch
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27701, USA
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA
- Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Courtney White-Clark
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA
| | - Felicia McCant
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA
| | - Leah L Zullig
- Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27701, USA
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA
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