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Research ArticleOriginal Research

Screening for Social Determinants of Health in Michigan Health Centers

Elena Byhoff, Alicia J. Cohen, Mary C. Hamati, Julie Tatko, Matthew M. Davis and Renuka Tipirneni
The Journal of the American Board of Family Medicine July 2017, 30 (4) 418-427; DOI: https://doi.org/10.3122/jabfm.2017.04.170079
Elena Byhoff
From the Department of Medicine, Tufts University School of Medicine, and the Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (EB); the Department of Family Medicine (AJC), the Institute for Healthcare Policy & Innovation (AJC, RT), and the Division of General Medicine (RT), University of Michigan, Ann Arbor; the Center for Clinical Management Research, Department of Veterans Affairs, Ann Arbor, MI (AJC); the Michigan State University College of Human Medicine, East Lansing (MCH); the Michigan Primary Care Association, Lansing (JT); the Departments of Pediatrics and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL (MMD); the Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL (MMD).
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Alicia J. Cohen
From the Department of Medicine, Tufts University School of Medicine, and the Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (EB); the Department of Family Medicine (AJC), the Institute for Healthcare Policy & Innovation (AJC, RT), and the Division of General Medicine (RT), University of Michigan, Ann Arbor; the Center for Clinical Management Research, Department of Veterans Affairs, Ann Arbor, MI (AJC); the Michigan State University College of Human Medicine, East Lansing (MCH); the Michigan Primary Care Association, Lansing (JT); the Departments of Pediatrics and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL (MMD); the Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL (MMD).
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Mary C. Hamati
From the Department of Medicine, Tufts University School of Medicine, and the Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (EB); the Department of Family Medicine (AJC), the Institute for Healthcare Policy & Innovation (AJC, RT), and the Division of General Medicine (RT), University of Michigan, Ann Arbor; the Center for Clinical Management Research, Department of Veterans Affairs, Ann Arbor, MI (AJC); the Michigan State University College of Human Medicine, East Lansing (MCH); the Michigan Primary Care Association, Lansing (JT); the Departments of Pediatrics and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL (MMD); the Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL (MMD).
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Julie Tatko
From the Department of Medicine, Tufts University School of Medicine, and the Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (EB); the Department of Family Medicine (AJC), the Institute for Healthcare Policy & Innovation (AJC, RT), and the Division of General Medicine (RT), University of Michigan, Ann Arbor; the Center for Clinical Management Research, Department of Veterans Affairs, Ann Arbor, MI (AJC); the Michigan State University College of Human Medicine, East Lansing (MCH); the Michigan Primary Care Association, Lansing (JT); the Departments of Pediatrics and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL (MMD); the Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL (MMD).
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Matthew M. Davis
From the Department of Medicine, Tufts University School of Medicine, and the Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (EB); the Department of Family Medicine (AJC), the Institute for Healthcare Policy & Innovation (AJC, RT), and the Division of General Medicine (RT), University of Michigan, Ann Arbor; the Center for Clinical Management Research, Department of Veterans Affairs, Ann Arbor, MI (AJC); the Michigan State University College of Human Medicine, East Lansing (MCH); the Michigan Primary Care Association, Lansing (JT); the Departments of Pediatrics and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL (MMD); the Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL (MMD).
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Renuka Tipirneni
From the Department of Medicine, Tufts University School of Medicine, and the Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA (EB); the Department of Family Medicine (AJC), the Institute for Healthcare Policy & Innovation (AJC, RT), and the Division of General Medicine (RT), University of Michigan, Ann Arbor; the Center for Clinical Management Research, Department of Veterans Affairs, Ann Arbor, MI (AJC); the Michigan State University College of Human Medicine, East Lansing (MCH); the Michigan Primary Care Association, Lansing (JT); the Departments of Pediatrics and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL (MMD); the Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL (MMD).
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Article Figures & Data

Figures

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  • Supplementary Figure 1.
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    Supplementary Figure 1.

    Map of Michigan Health Centers.

  • Figure 1.
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    Figure 1.

    Percentages of health centers screening for core domains.

  • Figure 2.
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    Figure 2.

    Health center data collection survey results. Categories are not mutually exclusive and may total >100%. EHR, electronic health record; MA, medical assistant; RN, registered nurse.

Tables

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    Table 1.

    Characteristics of Health Center Organizations and Patients in the Study Sample

    Uniform Data System 2014 DataHC Organizations, by Geographic RegionAll HC Organizations
    Northern (n = 5)Middle (n = 6)Southern (n = 5)Detroit Metro (n = 7)TotalMean
    HC Characteristics
        Delivery sites, n376141281677.26
            Rural, n (%) (based on zip code)33 (89)18 (30)0 (0)0 (0)51 (31)
        Total FTEs, n
            Primary care*38.042.231.034.8146.06.64
            Physicians†44.856.250.547.0198.69.0
            Mental health‡17.164.221.413.6116.35.3
        Visits
            Medical services258,472377,146311,797171,1421,118,55750,844
            Mental health services14,69455,07317,6458,96596,3774,381
    Patient population characteristics
        Patients served, n82,705159,406130,44086,762459,31320,878
        Race, n (%)
            Asian399 (1)1,797 (1)2,502 (2)712 (1)5,410 (1)246
            Native Hawaiian/other Pacific Islander49 (0)508 (0)807 (1)392 (1)1,756 (0)80
            Black/African American445 (1)37,636 (24)34,826 (27)51,022 (59)123,929 (27)5,633
            American Indian/Alaskan Native325 (0)678 (0)424 (0)193 (0)1,620 (0)74
            White78,492 (95)96,843 (61)66,558 (51)15,926 (18)257,819 (56)11,719
            >1 race453 (1)8,272 (9)1,619 (1)535 (1)10,879 (2)495
            Other2,542 (3)13,672 (9)23,704 (18)17,982 (21)57,900 (13)2,632
        Hispanic/Latino ethnicity691 (1)35,843 (23)22,476 (17)15,903 (18)74,913 (16)3,405
        Female sex, % (mean ± SD)53.9 ± 155.4 ± 457.8 ± 256.0 ± 855.8 ± 1
        Primary language is English, % (mean ± SD)99.8 ± 088.4 ± 1392.0 ± 886.4 ± 1939,193 ± 92
        Special populations, n (%)
            Agricultural workers or dependents199 (0)3,808 (2)8,678 (7)492 (1)13,177 (3)599
            Homeless380 (1)9,185 (6)7,033 (5)3,594 (4)20,192 (4)918
            Veterans1,272 (2)2,613 (2)1,163 (1)281 (0)5,329 (1)242
            Public housing patients2 (0)66 (0)534 (0)2,522 (3)3,124 (1)142
            School-based patients2,593 (3)12,033 (8)8,506 (7)371 (0)23,503 (5)1,068
            Total§4,446 (5)27,705 (17)25,914 (20)7,260 (8)65,325 (14)2,969
        Income ≤200% of the federal poverty level, n (%)49,078 (59)109,944 (69)99,285 (76)64,299 (74)322,606 (70)14,664
        Insurance
            Medicaid/CHIP/other public insurance22,065 (27)82,772 (52)76,170 (58)54,115 (62)235,122 (51)10,687
            Uninsured6,840 (8)40,432 (25)26,858 (21)21,733 (25)95,863 (21)4,357
            Medicare19,449 (24)15,369 (10)11,785 (9)4,071 (5)50,674 (11)2,302
            Private34,351 (42)20,827 (13)15,615 (12)6,520 (8)77,313 (17)3,514
    • Data are number, number (%), or mean ± standard deviation, unless otherwise indicated. Based on Uniform Data System (UDS) and Michigan Health Center organizations grouped by geographic region (see Supplementary Figure 1).

    • ↵* Includes family physicians, internists, and general practitioners.

    • ↵† Includes total primary care and pediatric physicians, obstetricians/gynecologists, and other specialty physicians.

    • ↵‡ Includes substance use disorder counselors, psychiatrists, licensed clinical psychologists, licensed clinical social workers, other licensed mental health providers, and other mental health staff.

    • ↵§ Total special populations include agricultural workers or dependents, homeless population, school-based patients (HCs located within a school, often a partnership between a community HC and school), veterans, and public housing patients.

    • CHIP, Children's Health Insurance Program; FTE, full-time equivalent.

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    Table 2.

    Comparison of Empirically Identified Social Determinant of Health (SDH) Domains from Health Center Screening Documents Compared with Other Recommended SDH Data Collection Domains

    Empirically Identified Domains from Health Centers*NAM†HP2020‡National Quality Forum§USPSTF‖WHO¶UDS##Meaningful Use Stages 2/3**
    Culture (religious/spiritual affiliations or practices)
    Demographics (gender/sex, place of birth, sexual orientation, race/ethnicity)xxxxxx
    Economic indicators (income, assets, assistance programs, indebtedness)xxxxx
    Education (educational attainment, basic literacy, health literacy, numeracy)xxxxx
    Employment status (unemployment, OSHA, migrant/seasonal or farm worker, day laborers, disability status, mobility status, retirement status, student, unpaid caretaker, active military)xxxxx
    Family/living arrangements (marital status, dependents, children, elders, who lives in the home)x
    Functional status (ADLs/IADLs, frailty)x
    Health-related behaviors (alcohol use, caffeine use, drug use, tobacco use, secondhand smoke, physical activity, sexual activity, diet, safety, bike helmets, baby-proof, seat belts, smoke detectors, guns in the home, driving safety, screen time)xxxx
    Health care access (insurance status, affordability, usual source of care)xxx
    Language (primary language, English proficiency, interpreter, other language proficiency)xxxx
    Material hardship (food insecurity, housing insecurity, utilities, transportation, medication affordability, access to technology, child care, legal services)xxxxxx
    Mental health (depression, anxiety, PTSD, ADD/ADHD, suicide risk, stress, caregiver stress, burnout, sleep behaviors)xxxx
    Social support (community activities, safe environment, environmental exposures, personal safety, bullying, public spaces, racism, discrimination, distrust, school culture)xxxxx
    Trauma/violence (intimate partner violence, trauma, physical abuse, sexual abuse, mental abuse, child abuse)xx
    Veteran status (history of military trauma, combat veteran)x
    • ↵* Bold items represent the core domains; subdomains are set in parentheses.

    • ↵† National Academy of Medicine (NAM) Capturing Social and Behavioral Domains and Measures in Electronic Health Records: Phase 2.7

    • ↵‡ Healthy People 2020.9

    • ↵§ National Quality Forum, Risk Adjustment for Socioeconomic Status or Other Sociodemographic Factors.21

    • ↵‖ U.S. Preventive Services Task Force (USPSTF) published recommendations.29

    • ↵¶ World Health Organization (WHO), A Conceptual Framework for Action on the Social Determinants of Health.22

    • ↵# Uniform Data System (UDS) reporting measures.19

    • ↵** Secretary of Health and Human Services, Health Information Technology Certification Criteria, 2015 edition.30

    • ADD, attention deficit disorder; ADHD, attention deficit and hyperactivity disorder; ADL, activity of daily living; HP2020, Healthy People 2020; IADLs, instrumental activity of daily living; OSHA, Occupation Safety and Health Administration; PTSD, posttraumatic stress disorder.

    • View popup
    Supplementary Table 1.

    Variation in Sub-Domain Screening Across Participating Health Centers

    Culture (n = 9)Demographics (n = 23)Economic Indicators (n = 21)Employment (n = 23)Education (n = 21)Family/Living Arrangements (n = 23)Functional Status (n = 8)Health-Related Behaviors (n = 17)
    %%%%%%%%
    General Code*67Gender Sex100General Code14General Code91General Code19General Code9General Code50General Code26
    Religion89Place of Birth22Income100Unemployment87Educational Attainment100Marital Status52ADL/IADL‡75Alcohol70
    Sexual Orientation13Assets5Under-employment4Basic Literacy24Dependents17Frailty63Drug Use70
    Race, Ethnicity100Assistance Programs29OSHA†22Health Literacy24Children30Tobacco65
    Indebtedness10Migrant/Seasonal or Farm Worker78Numeracy5Elders4Secondhand Smoke26
    Who Lives in the Home100Caffeine48
    Disability83Physical Activity57
    Mobility Status4Sexual Activity43
    Retirement Status87Diet52
    Student91Safety General22
    Unpaid Caretaker74Bike Helmet Use26
    Active military78Baby Proofing4
    Seat Belt Use43
    Smoke Detectors30
    Guns in the House30
    Driving Safety, other26
    Health Care Access (n = 22)Language (n = 22)Material Hardship (n = 21)Mental Health (n = 23)Social Support/Isolation (n = 21)Trauma, Violence (n = 21)Veteran Status (n = 22)
    %%%%%%%
    General Code22General Code9General Code74General Code30General Code95General Code19General Code100
    Insurance Status96Primary Language96Food Insecurity78Mental Health Screening43Community Activities24Intimate Partner Violence90Military Trauma History5
    Affordability78English Proficiency26Housing Insecurity96Depression70Safe Environment95
    Usual Source of Care74Interpreter26Utilities78Anxiety43Environmental Exposures14Trauma14
    %%%%%%%
    Other Language Proficiency17Transportation78PTSD§4Personal Safety24Physical Abuse33
    Medication Affordability78ADD, ADHD‖13Bullying24Sexual Abuse33
    Access to Technology74Suicide35Public Space5Mental Abuse38
    Child Care74Stress78Racism5Child Abuse19
    Clothing78Sleep Behaviors30Discrimination5
    Legal Services78Distrust5
    School Culture10
    • ↵* General Code refers to screening question that was considered a general question under the Core Domain.

    • ↵† Occupational Health & Safety.

    • ↵‡ Activities of Daily Living, Instrumental Activities of Daily Living.

    • ↵§ Post Traumatic Stress Disorder.

    • ↵‖ Attention Deficit Disorder, Attention Deficit and Hyperactivity Disorder.

    • Note: All numbers provided are percentage of total (n) of HCs that screened for each core domain. Documents could receive multiple codes and therefore percentages do not sum to 100%.

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The Journal of the American Board of Family     Medicine: 30 (4)
The Journal of the American Board of Family Medicine
Vol. 30, Issue 4
July-August 2017
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Screening for Social Determinants of Health in Michigan Health Centers
Elena Byhoff, Alicia J. Cohen, Mary C. Hamati, Julie Tatko, Matthew M. Davis, Renuka Tipirneni
The Journal of the American Board of Family Medicine Jul 2017, 30 (4) 418-427; DOI: 10.3122/jabfm.2017.04.170079

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Screening for Social Determinants of Health in Michigan Health Centers
Elena Byhoff, Alicia J. Cohen, Mary C. Hamati, Julie Tatko, Matthew M. Davis, Renuka Tipirneni
The Journal of the American Board of Family Medicine Jul 2017, 30 (4) 418-427; DOI: 10.3122/jabfm.2017.04.170079
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