Addressing non-medical health-related social needs through a community-based lifestyle intervention during the COVID-19 pandemic: The Black Impact program

Joshua J Joseph, Darrell M Gray 2nd, Amaris Williams, Songzhu Zhao, Alicia McKoy, James B Odei, Guy Brock, Dana Lavender, Daniel M Walker, Saira Nawaz, Carrie Baker, Jenelle Hoseus, Tanikka Price, John Gregory, Timiya S Nolan, Joshua J Joseph, Darrell M Gray 2nd, Amaris Williams, Songzhu Zhao, Alicia McKoy, James B Odei, Guy Brock, Dana Lavender, Daniel M Walker, Saira Nawaz, Carrie Baker, Jenelle Hoseus, Tanikka Price, John Gregory, Timiya S Nolan

Abstract

Background: Non-medical health-related social needs (social needs) are major contributors to worse health outcomes and may have an adverse impact on cardiovascular risk factors and cardiovascular disease. The present study evaluated the effect of a closed-loop community-based pathway in reducing social needs among Black men in a lifestyle change program.

Methods: Black men (n = 70) from a large Midwestern city participated in Black Impact, a 24-week community-based team lifestyle change single-arm pilot trial adapted from the Diabetes Prevention Program and American Heart Association's (AHA) Check, Change, Control Blood Pressure Self-Management Program, which incorporates AHA's Life's Simple 7 (LS7) framework. Participants were screened using the Centers for Medicare and Medicaid Services (CMS) Accountable Health Communities Health-Related Social Needs Screening Tool. Participants with affirmative responses were referred to a community hub pathway to address social needs. The primary outcome for this analysis is change in social needs based on the CMS social needs survey at 12 and 24 weeks using mixed effect logistic regressions with random intercepts for each participant. Change in a LS7 score (range 0-14) from baseline to 12 and 24 weeks was evaluated using a linear mixed-effects model stratified by baseline social needs.

Results: Among 70 participants, the mean age of participants was 52 ±10.5 years. The men were sociodemographically diverse, with annual income ranging from <$20,000 (6%) to ≥$75,000 (23%). Forty-three percent had a college degree or higher level of education, 73% had private insurance, and 84% were employed. At baseline 57% of participants had at least one social need. Over 12 and 24 weeks, this was reduced to 37% (OR 0.33, 95%CI: 0.13, 0.85) and 44% (OR 0.50, 95%CI: 0.21, 1.16), respectively. There was no association of baseline social needs status with baseline LS7 score, and LS7 score improved over 12 and 24 weeks among men with and without social needs, with no evidence of a differential effect.

Conclusions: The Black Impact lifestyle change single-arm pilot program showed that a referral to a closed-loop community-based hub reduced social needs in Black men. We found no association of social needs with baseline or change in LS7 scores. Further evaluation of community-based strategies to advance the attainment of LS7 and address social needs among Black men in larger trials is warranted.

Conflict of interest statement

The authors have declared that no competing interests exist.

Copyright: © 2023 Joseph et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Figures

Fig 1. Consort 2010 flow diagram.
Fig 1. Consort 2010 flow diagram.
Fig 2. Flow diagram for participants engaged…
Fig 2. Flow diagram for participants engaged in central ohio pathways hub.
Fig 3. Non-medical health related social needs…
Fig 3. Non-medical health related social needs in black impact at 0, 12 and 24 Weeks.
Lines represent the 44 participants that had social need(s) at some point during the study. Four had no social needs at baseline, then gained at least one social need as the study progressed. Forty had a social need at baseline. Thirteen of the 40 had no social needs by week 12, and one participant took until week 24 to resolve his social need(s). Six of the 13 that had social needs addressed by week 12 had regained social need(s) by week 24. The lines in the plot have random jitter added to allow individual participants to be distinguished.

References

    1. Board on Population Health and Public Health Practice, Health and Medicine Division, National Academies of Sciences, Engineering, and Medicine. Investing in Interventions That Address Non-Medical, Health-Related Social Needs: Proceedings of a Workshop. Martinez RM, Alper, editors. Washington, D.C.: National Academies Press; 2019. p. 25544. doi: 10.17226/25544
    1. National Academy of Medicine, Dzau VJ, McClellan M, Duke University, Burke S, Harvard Kennedy School, et al.. Vital Directions for Health and Health Care: Priorities from a National Academy of Medicine Initiative. NAM Perspectives. 2017;7. doi: 10.31478/201703e
    1. —Social Determinants of Health Series: Housing. [cited 1 Jun 2021]. Available: .
    1. Kaiser ML, Cafer A. Understanding High Incidence of Severe Obesity and Very Low Food Security in Food Pantry Clients: Implications For Social Work. Social Work in Public Health. 2018;33: 125–139. doi: 10.1080/19371918.2017.1415181
    1. Hill-Briggs F, Adler NE, Berkowitz SA, Chin MH, Gary-Webb TL, Navas-Acien A, et al.. Social determinants of health and diabetes: a scientific review. Diabetes Care. 2021;44: 258–279.
    1. Fichtenberg C, Delva J, Minyard K, Gottlieb LM. Health And Human Services Integration: Generating Sustained Health And Equity Improvements: An overview of collaborations, partnerships, and other integration efforts between health care and social services organizations. Health Affairs. 2020;39: 567–573.
    1. Gottlieb LM, Wing H, Adler NE. A Systematic Review of Interventions on Patients’ Social and Economic Needs. American Journal of Preventive Medicine. 2017;53: 719–729. doi: 10.1016/j.amepre.2017.05.011
    1. Ruiz Escobar E, Pathak S, Blanchard CM. Screening and Referral Care Delivery Services and Unmet Health-Related Social Needs: A Systematic Review. Prev Chronic Dis. 2021;18: 200569. doi: 10.5888/pcd18.200569
    1. Albertson EM, Chuang E, O’Masta B, Miake-Lye I, Haley LA, Pourat N. Systematic Review of Care Coordination Interventions Linking Health and Social Services for High-Utilizing Patient Populations. Population Health Management. 2022;25: 73–85. doi: 10.1089/pop.2021.0057
    1. Yan AF, Chen Z, Wang Y, Campbell JA, Xue Q-L, Williams MY, et al.. Effectiveness of Social Needs Screening and Interventions in Clinical Settings on Utilization, Cost, and Clinical Outcomes: A Systematic Review. Health Equity. 2022;6: 454–475. doi: 10.1089/heq.2022.0010
    1. Manian N, Wagner CA, Placzek H, Darby BA, Kaiser TJ, Rog DJ. Relationship between intervention dosage and success of resource connections in a social needs intervention. Public Health. 2020;185: 324–331. doi: 10.1016/j.puhe.2020.05.058
    1. Gordon NP, Banegas MP, Tucker-Seeley RD. Racial-ethnic differences in prevalence of social determinants of health and social risks among middle-aged and older adults in a Northern California health plan. Roy B, editor. PLoS ONE. 2020;15: e0240822. doi: 10.1371/journal.pone.0240822
    1. Foraker RE, Bush C, Greiner MA, Sims M, Henderson K, Smith S, et al.. Distribution of Cardiovascular Health by Individual- and Neighborhood-Level Socioeconomic Status: Findings From the Jackson Heart Study. gh. 2019;14: 241. doi: 10.1016/j.gheart.2019.04.007
    1. Azap RA, Nolan TS, Gray DM, Lawson K, Gregory J, Capers Q, et al.. Association of Socioeconomic Status With Ideal Cardiovascular Health in Black Men. J Am Heart Assoc. 2021;10: e020184. doi: 10.1161/JAHA.120.020184
    1. Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, et al.. Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association. Circulation. 2020;141. doi: 10.1161/CIR.0000000000000757
    1. Dong C, Rundek T, Wright CB, Anwar Z, Elkind MSV, Sacco RL. Ideal cardiovascular health predicts lower risks of myocardial infarction, stroke, and vascular death across whites, blacks, and hispanics: the northern Manhattan study. Circulation. 2012;125: 2975–2984. doi: 10.1161/CIRCULATIONAHA.111.081083
    1. Joseph JJ, Echouffo-Tcheugui JB, Carnethon MR, Bertoni AG, Shay CM, Ahmed HM, et al.. The association of ideal cardiovascular health with incident type 2 diabetes mellitus: the Multi-Ethnic Study of Atherosclerosis. Diabetologia. 2016;59: 1893–1903. doi: 10.1007/s00125-016-4003-7
    1. Joseph JJ, Bennett A, Echouffo Tcheugui JB, Effoe VS, Odei JB, Hidalgo B, et al.. Ideal cardiovascular health, glycaemic status and incident type 2 diabetes mellitus: the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. Diabetologia. 2019;62: 426–437. doi: 10.1007/s00125-018-4792-y
    1. Rasmussen-Torvik LJ, Shay CM, Abramson JG, Friedrich CA, Nettleton JA, Prizment AE, et al.. Ideal Cardiovascular Health Is Inversely Associated With Incident Cancer: The Atherosclerosis Risk in Communities Study. Circulation. 2013;127: 1270–1275. doi: 10.1161/CIRCULATIONAHA.112.001183
    1. Khan MS, Kumar P, Sreenivasan J, Khan SU, Michos ED, Yancy CW, et al.. Preventable Deaths From Heart Disease and Stroke Among Racial and Ethnic Minorities in the United States. Circ: Cardiovascular Quality and Outcomes. 2021. [cited 2 Jul 2021]. doi: 10.1161/CIRCOUTCOMES.121.007835
    1. Van Dyke M, Greer S, Odom E, Schieb L, Vaughan A, Kramer M, et al.. Heart Disease Death Rates Among Blacks and Whites Aged ≥35 Years—United States, 1968–2015. MMWR Surveill Summ. 2018;67: 1–11. doi: 10.15585/mmwr.ss6705a1
    1. Elgazzar R, Nolan TS, Joseph JJ, Aboagye-Mensah EB, Azap RA, Gray DM. Community-engaged and community-based participatory research to promote American Heart Association Life’s Simple 7 among African American adults: A systematic review. PLoS ONE. 2020;15: e0238374. doi: 10.1371/journal.pone.0238374
    1. Joseph JJ, Glover A, Olayiwola JN, Rastetter M, Allen J (Chip), Knight K, et al.. Mask Up: Academic-Community-Government Partnerships to Advance Public Health During COVID-19. Population Health Management. 2021; pop.2020.0305. doi: 10.1089/pop.2020.0305
    1. Gray DM, Nolan TS, Gregory J, Joseph JJ. Diversity in clinical trials: an opportunity and imperative for community engagement. The Lancet Gastroenterology & Hepatology. 2021;6: 605–607. doi: 10.1016/S2468-1253(21)00228-4
    1. Joseph JJ, Nolan TS, Williams A, McKoy A, Zhao S, Aboagye-Mensah E, et al.. Improving Cardiovascular Health in Black Men Through a 24-Week Community-Based Team Lifestyle Change Intervention: The Black Impact Pilot Study. American Journal of Preventive Cardiology. 2022; 100315. doi: 10.1016/j.ajpc.2022.100315
    1. Melnyk BM, Morrison-Beedy D, editors. Intervention research: designing, conducting, analyzing, and funding. New York: Springer Pub; 2012.
    1. The Diabetes Prevention Program. Reduction in the Incidence of Type 2 Diabetes with Lifestyle Intervention or Metformin. New England Journal of Medicine. 2002;346: 393–403. doi: 10.1056/NEJMoa012512
    1. Bail J, Nolan TS, Vo JB, Gisiger-Camata S, Meneses K. Engaging an Urban African American Community to Deliver Cognitive Health Education to Breast Cancer Survivors. Journal of Cancer Education. 2018;33: 870–874. doi: 10.1007/s13187-016-1155-6
    1. Gray DM, Nolan TS, Bignall ONR, Gregory J, Joseph JJ. Reckoning with Our Trustworthiness, Leveraging Community Engagement. Population Health Management. 2021; pop.2021.0158. doi: 10.1089/pop.2021.0158
    1. Centers for Medicare and Medicaid Services, Billioux A, Verlander K, Centers for Medicare and Medicaid Services, Anthony S, Centers for Medicare and Medicaid Services, et al.. Standardized Screening for Health-Related Social Needs in Clinical Settings: The Accountable Health Communities Screening Tool. NAM Perspectives. 2017;7. doi: 10.31478/201705b
    1. Centers for Medicare and Medicaid Services. The Accountable Health Communities Health-Related Social Needs Screening Tool. [cited 17 May 2021]. Available: .
    1. Community Care Coordination Learning Network and The Pathways Community HUB Certification Program. Pathways Community HUB Manual: A Guide to Identify and Address Risk Factors, Reduce Costs, and Improve Outcomes. Agency for Healthcare Research and Quality (AHRQ). 2016; 74.
    1. Redding S, Conrey E, Porter K, Paulson J, Hughes K, Redding M. Pathways community care coordination in low birth weight prevention. Matern Child Health J. 2015;19: 643–650. doi: 10.1007/s10995-014-1554-4
    1. Zeigler BP, Redding S, Leath BA, Carter EL, Russell C. Guiding Principles for Data Architecture to Support the Pathways Community HUB Model. eGEMs. 2016;4: 1. doi: 10.13063/2327-9214.1182
    1. Zeigler BP, Carter EL, Redding SA, Leath BA, Russell C. Care Coordination: Formalization of Pathways for Standardization and Certification Report for Project: Health System Modeling and Simulation: Coordinated Care Example. Rockville, MD: Rockville Institute; 2014. Report No.: National Science Foundation Grant Award No. CMMI-1235364. Available: .
    1. Golnick C, Asay E, Provost E, Van Liere D, Bosshart C, Rounds-Riley J, et al.. Innovative primary care delivery in rural Alaska: a review of patient encounters seen by community health aides. Int J Circumpolar Health. 2012;71: 18543. doi: 10.3402/ijch.v71i0.18543
    1. Redding M, Hoornbeek J, Zeigler BP, Kelly M, Redding S, Falletta L, et al.. Risk Reduction Research Initiative: A National Community-Academic Framework to Improve Health and Social Outcomes. Popul Health Manag. 2019;22: 289–291. doi: 10.1089/pop.2018.0099
    1. Alley DE, Asomugha CN, Conway PH, Sanghavi DM. Accountable Health Communities—Addressing Social Needs through Medicare and Medicaid. N Engl J Med. 2016;374: 8–11. doi: 10.1056/NEJMp1512532
    1. Zeigler BP, Redding SA, Leath BA, Carter EL. Pathways Community HUB: A Model for Coordination of Community Health Care. Population Health Management. 2014;17: 199–201. doi: 10.1089/pop.2014.0041
    1. Diet History Questionnaire III (DHQ III). [cited 1 Jun 2021]. Available: .
    1. Thompson FE, Subar AF, Brown CC, Smith AF, Sharbaugh CO, Jobe JB, et al.. Cognitive research enhances accuracy of food frequency questionnaire reports: results of an experimental validation study. Journal of the American Dietetic Association. 2002;102: 212–225. doi: 10.1016/s0002-8223(02)90050-7
    1. Subar AF, Thompson FE, Kipnis V, Midthune D, Hurwitz P, McNutt S, et al.. Comparative Validation of the Block, Willett, and National Cancer Institute Food Frequency Questionnaires. American Journal of Epidemiology. 2001;154: 1089–1099. doi: 10.1093/aje/154.12.1089
    1. Kipnis V. Structure of Dietary Measurement Error: Results of the OPEN Biomarker Study. American Journal of Epidemiology. 2003;158: 14–21. doi: 10.1093/aje/kwg091
    1. Coleman KJ, Ngor E, Reynolds K, Quinn VP, Koebnick C, Young DR, et al.. Initial Validation of an Exercise “Vital Sign” in Electronic Medical Records. Medicine & Science in Sports & Exercise. 2012;44: 2071–2076. doi: 10.1249/MSS.0b013e3182630ec1
    1. Sherin KM, Sinacore JM, Li XQ, Zitter RE, Shakil A. HITS: a short domestic violence screening tool for use in a family practice setting. Fam Med. 1998;30: 508–512.
    1. Shakil A, Donald S, Sinacore JM, Krepcho M. Validation of the HITS domestic violence screening tool with males. Fam Med. 2005;37: 193–198.
    1. Lloyd-Jones DM, Hong Y, Labarthe D, Mozaffarian D, Appel LJ, Van Horn L, et al.. Defining and Setting National Goals for Cardiovascular Health Promotion and Disease Reduction: The American Heart Association’s Strategic Impact Goal Through 2020 and Beyond. Circulation. 2010;121: 586–613. doi: 10.1161/CIRCULATIONAHA.109.192703
    1. Berkowitz SA, Hulberg AC, Standish S, Reznor G, Atlas SJ. Addressing Unmet Basic Resource Needs as Part of Chronic Cardiometabolic Disease Management. JAMA Intern Med. 2017;177: 244. doi: 10.1001/jamainternmed.2016.7691
    1. Gottlieb LM, DeSalvo K, Adler NE. Healthcare sector activities to identify and intervene on social risk: an introduction to the American Journal of Preventive Medicine supplement. American journal of preventive medicine. 2019;57: S1–S5. doi: 10.1016/j.amepre.2019.07.009
    1. Brewster AL, Kunkel S, Straker J, Curry LA. Cross-Sectoral Partnerships By Area Agencies On Aging: Associations With Health Care Use And Spending. Health Affairs. 2018;37: 15–21. doi: 10.1377/hlthaff.2017.1346
    1. Mays GP, Mamaril CB, Timsina LR. Preventable Death Rates Fell Where Communities Expanded Population Health Activities Through Multisector Networks. Health Affairs. 2016;35: 2005–2013. doi: 10.1377/hlthaff.2016.0848
    1. Caleyachetty R, Echouffo-Tcheugui JB, Muennig P, Zhu W, Muntner P, Shimbo D. Association between cumulative social risk and ideal cardiovascular health in US adults: NHANES 1999–2006. International Journal of Cardiology. 2015;191: 296–300. doi: 10.1016/j.ijcard.2015.05.007
    1. Laraia BA. Food Insecurity and Chronic Disease. Advances in Nutrition. 2013;4: 203–212. doi: 10.3945/an.112.003277
    1. Palakshappa D, Speiser JL, Rosenthal GE, Vitolins MZ. Food Insecurity Is Associated with an Increased Prevalence of Comorbid Medical Conditions in Obese Adults: NHANES 2007–2014. Journal of general internal medicine. 2019;34: 1486–1493. doi: 10.1007/s11606-019-05081-9
    1. Seligman HK, Laraia BA, Kushel MB. Food Insecurity Is Associated with Chronic Disease among Low-Income NHANES Participants. The Journal of Nutrition. 2010;140: 304–310. doi: 10.3945/jn.109.112573
    1. Myers CA, Martin CK, Newton RL, Apolzan JW, Arnold CL, Davis TC, et al.. Cardiovascular Health, Adiposity, and Food Insecurity in an Underserved Population. Nutrients. 2019;11: 1376. doi: 10.3390/nu11061376
    1. Saiz AM, Aul AM, Malecki KM, Bersch AJ, Bergmans RS, LeCaire TJ, et al.. Food insecurity and cardiovascular health: Findings from a statewide population health survey in Wisconsin. Preventive Medicine. 2016;93: 1–6. doi: 10.1016/j.ypmed.2016.09.002
    1. Cabeza de Baca T, Burroughs Peña MS, Slopen N, Williams D, Buring J, Albert MA. Financial strain and ideal cardiovascular health in middle-aged and older women: Data from the Women’s health study. American Heart Journal. 2019;215: 129–138. doi: 10.1016/j.ahj.2019.06.002
    1. Sims M, Kershaw KN, Breathett K, Jackson EA, Lewis LM, Mujahid MS, et al.. Importance of Housing and Cardiovascular Health and Well-Being: A Scientific Statement From the American Heart Association. Circ: Cardiovascular Quality and Outcomes. 2020;13. doi: 10.1161/HCQ.0000000000000089
    1. Kangovi S, Mitra N, Grande D, Huo H, Smith RA, Long JA. Community Health Worker Support for Disadvantaged Patients With Multiple Chronic Diseases: A Randomized Clinical Trial. Am J Public Health. 2017;107: 1660–1667. doi: 10.2105/AJPH.2017.303985
    1. Kangovi S, Mitra N, Norton L, Harte R, Zhao X, Carter T, et al.. Effect of Community Health Worker Support on Clinical Outcomes of Low-Income Patients Across Primary Care Facilities: A Randomized Clinical Trial. JAMA Intern Med. 2018;178: 1635. doi: 10.1001/jamainternmed.2018.4630
    1. Watt TT, Appel L, Lopez V, Flores B, Lawhon B. A Primary Care-Based Early Childhood Nutrition Intervention: Evaluation of a Pilot Program Serving Low-Income Hispanic Women. J Racial and Ethnic Health Disparities. 2015;2: 537–547. doi: 10.1007/s40615-015-0102-2
    1. Loskutova NY, Tsai AG, Fisher EB, LaCruz DM, Cherrington AL, Harrington TM, et al.. Patient Navigators Connecting Patients to Community Resources to Improve Diabetes Outcomes. The Journal of the American Board of Family Medicine. 2016;29: 78–89. doi: 10.3122/jabfm.2016.01.150048
    1. Dorr DA, Wilcox A, Burns L, Brunker CP, Narus SP, Clayton PD. Implementing a Multidisease Chronic Care Model in Primary Care Using People and Technology. Disease Management. 2006;9: 1–15. doi: 10.1089/dis.2006.9.1

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