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Research ArticleOriginal Research

Development of PRAPARE Social Determinants of Health Clusters and Correlation with Diabetes and Hypertension Outcomes

Wen Wan, Vivian Li, Marshall H. Chin, David N. Faldmo, Erin Hoefling, Michelle Proser and Rosy Chang Weir
The Journal of the American Board of Family Medicine July 2022, 35 (4) 668-679; DOI: https://doi.org/10.3122/jabfm.2022.04.200462
Wen Wan
From University of Chicago, Chicago, IL (WW, MHC); Association of Asian Pacific Community Health Organizations, San Francisco, CA (VL, RCW); Siouxland Community Health Center, Sioux City, IA (DF, EH); National Association of Community Health Centers, Bethesda, MD (MP).
PhD
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Vivian Li
From University of Chicago, Chicago, IL (WW, MHC); Association of Asian Pacific Community Health Organizations, San Francisco, CA (VL, RCW); Siouxland Community Health Center, Sioux City, IA (DF, EH); National Association of Community Health Centers, Bethesda, MD (MP).
MS
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Marshall H. Chin
From University of Chicago, Chicago, IL (WW, MHC); Association of Asian Pacific Community Health Organizations, San Francisco, CA (VL, RCW); Siouxland Community Health Center, Sioux City, IA (DF, EH); National Association of Community Health Centers, Bethesda, MD (MP).
MD, MPH
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David N. Faldmo
From University of Chicago, Chicago, IL (WW, MHC); Association of Asian Pacific Community Health Organizations, San Francisco, CA (VL, RCW); Siouxland Community Health Center, Sioux City, IA (DF, EH); National Association of Community Health Centers, Bethesda, MD (MP).
PA-C, MPAS
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Erin Hoefling
From University of Chicago, Chicago, IL (WW, MHC); Association of Asian Pacific Community Health Organizations, San Francisco, CA (VL, RCW); Siouxland Community Health Center, Sioux City, IA (DF, EH); National Association of Community Health Centers, Bethesda, MD (MP).
RN
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Michelle Proser
From University of Chicago, Chicago, IL (WW, MHC); Association of Asian Pacific Community Health Organizations, San Francisco, CA (VL, RCW); Siouxland Community Health Center, Sioux City, IA (DF, EH); National Association of Community Health Centers, Bethesda, MD (MP).
PhD
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Rosy Chang Weir
From University of Chicago, Chicago, IL (WW, MHC); Association of Asian Pacific Community Health Organizations, San Francisco, CA (VL, RCW); Siouxland Community Health Center, Sioux City, IA (DF, EH); National Association of Community Health Centers, Bethesda, MD (MP).
PhD
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Article Figures & Data

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  • Figure 1.
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    Figure 1.

    Structure of PRAPARE SDH factors by factor analysis. Abbreviation: PRAPARE, Protocol for Responding to and Assessing Patient Assets, Risks, and Experiences.

  • Appendix Figure 1.
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    Appendix Figure 1.

    Workflow at Siouxland Community Health Center.

Tables

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    Table 1.

    Patient Characteristics and Social Determinant of Health Risk Factors across Disease Status

    BothDiabetes OnlyHypertension OnlyNeither
    (n = 1477)(n = 716)(n = 2388)(n = 7192)
    N%N%N%N%
    Gender**
        Female76252%40557%119650%476566%
        Male71548%31143%119250%242634%
        Age (mean and SD)**5610481253113813
    Ethnicity**
        Hispanic/Latino41128%30442%57624%278739%
        Non-Hispanic/Latino105572%40457%178676%431361%
    Race**
        Non-White39226%25135%64327%257536%
        White108373%46265%172672%454463%
    Language**
        Limited English proficiency40928%27939%56524%224731%
        English proficient106872%43761%182376%494569%
    Education**
        Less than high school60542%33148%86837%263237%
        High school38527%18326%73031%218731%
        Above high school45331%17825%72630%220231%
    Housing stability
        Worried about losing housing897%<50-1437%4007%
        Not worried about losing housing119493%57993%185593%535093%
    Food needs**
        Yes need17313%9816%24112%69612%
        No need113887%52384%185188%534488%
    Utilities needs
        Yes need1159%6611%1568%5159%
        No need118291%54089%191492%544391%
    Childcare needs**
        Yes need<50-<50-<50-2184%
        No need124399%56997%197398%560596%
        Clothing needs
        Yes need877%<50-1608%4828%
        No need120493%55692%192192%548292%
    Phone needs
        Yes need978%519%1537%5079%
        No need119092%54891%191893%542991%
    Other needs
        Yes need<50-<50-<50-<50-
        No need103199%46799%161199%434199%
    Transportation**
        Transportation needs (medical)1058%<507%1315%4136%
        Transportation needs (nonmedical)977%<507%1185%3726%
        No transportation needs115985%55686%193289%568288%
    Health care
        Medicine or health care needs19617%11621%32717%95218%
        No health care need96383%44779%154483%434482%
    Stress*
        Very much14311%599%24011%84012%
        Quite a bit1048%629%21910%5378%
        Somewhat26219%11617%42619%131219%
        A little bit40330%19629%65629%197929%
        Not at all44733%23435%68731%213031%
    Domestic violence
        Yes<50-<50-733%3045%
        Unsure<50-<50-<50-<50-
        No134396%64695%217696%642695%
    Safety
        Felt unsafe604%<505%1065%3886%
        Unsure<50-<50-<50-1062%
        Felt safe132794%64694%212294%632793%
    Employment**
        Unemployed80855%32746%106845%286840%
        Employed or not looking for employment65345%37754%129255%423060%
    Insurance**
        Uninsured104872%48069%157167%369753%
        Insured40428%21931%75833%322247%
    Federal poverty level (FPL)**
        Income <100% FPL94567%49273%160171%516177%
        Income between 100% and 200% FPL36025%14221%49822%114117%
        Income between 200% and 400% FPL1017%<50-1436%3225%
        Income > 400% FPL<50-<50-<50-<50-
    Social integration*
        See or talk to people < once per week14811%599%1999%67910%
        See or talk to people 1 to 2 times per week22216%12819%38417%119718%
        See or talk to people 3 to 5 times per week29622%14822%43420%148722%
        See or talk to people > 5 times per week70551%32850%120354%332650%
    Housing status**
        Lack of housing957%649%2019%89413%
        Have housing132893%63191%208791%594987%
    • Groups with counts of less than 50 were masked for confidentiality reasons.

    • ↵* P value < 0.05, where P value was for all four groups comparison. A small P value (<0.05) indicates at least two groups significantly different in one characteristics or SDoH.

    • ↵** P value ≤ 0.01, where P value was for all four groups comparison. A small P value (<0.05) indicates at least two groups significantly different in one characteristics or SDoH.

    • Abbreviation: SD, standard deviation.

    • View popup
    Table 2.

    Mean Scores Across the Three Clusters and the Three Standalone Domains

    SDOH ClustersBoth (n = 1477)Diabetes Only (n = 716)Hypertension Only (n = 2388)Neither (n = 7192)
    Social background (ethnicity, race, language, and education)
        Mean cluster score* (SD)0.34 (0.32)0.45 (0.33)0.32 (0.31)0.40 (0.32)
    Social insecurities (housing security, material needs, transportation, health care, stress, domestic violence, and safety)
        Mean cluster score (SD)0.12 (0.15)0.13 (0.15)0.12 (0.15)0.13 (0.16)
    Insurance/employment (insurance and employment)
        Mean cluster score (SD)0.64 (0.41)0.58 (0.41)0.56 (0.42)0.47 (0.41)
    Federal poverty level (FPL)
        Cluster score (SD)0.86 (0.22)0.89 (0.20)0.87 (0.21)0.90 (0.19)
    Social integration
        Cluster score (SD)0.29 (0.35)0.29 (0.34)0.27 (0.34)0.29 (0.34)
    Housing status
        Cluster score (SD)0.07 (0.25)0.09 (0.29)0.09 (0.28)0.13 (0.34)
    • ↵* Cluster score is defined as the sum of the at-risk factors in that cluster.

    • Abbreviations: SDoH, social determinants of health; SD, standard deviation.

    • View popup
    Table 3.

    Associations of Social Determinant of Health Risk Factors and Clusters with HbA1c and Blood Pressure Values by Linear Regression Models

    OutcomeFactors/Clusters*Coefficient95% CIP value†
    Diabetes model (total n = 2193 and n = 1906 with complete data)
    HbA1cIntercept8.7558.0769.434<0.001
    BMI−0.007−0.0170.0030.184
    Age−0.024−0.031−0.017<0.001
    Female (ref: male)−0.166−0.330−0.0020.047
    Social background score0.1140.0490.1780.001
    Social insecurities score0.1660.0840.247<0.001
    Insurance/employment score0.1240.0190.2290.020
    Federal poverty level score−0.034−0.4160.3490.864
    Social isolation score−0.314−0.553−0.0750.010
    Housing status score−0.113−0.4250.1990.479
    Blood pressure model (total n = 3865 and n = 3338 with complete data)
    Systolic blood pressureIntercept118.445113.955122.935<0.001
    BMI0.1750.1120.237<0.001
    Age0.049−0.0020.0990.058
    Female−1.844−2.899−0.7890.001
    Social background score0.4980.0730.9240.022
    Social insecurities score1.0260.4861.567<0.001
    Insurance/employment score−0.138−0.8080.5320.687
    Federal poverty level−0.097−2.5652.3710.939
    Social isolation0.284−1.2771.8460.721
    Housing status0.001−1.9971.9980.999
    Diastolic blood pressureIntercept87.07184.17089.972<0.001
    BMI0.036−0.0040.0770.080
    Age−0.222−0.254−0.189<0.001
    Female (ref: male)−1.566−2.247−0.884<0.001
    Social background score−0.030−0.3050.2450.832
    Social insecurities score0.7360.3871.085<0.001
    Insurance/employment score−0.460−0.893−0.0270.038
    Federal poverty level0.023−1.5721.6170.978
    Social isolation−0.635−1.6440.3740.217
    Housing status−0.119−1.4091.1720.857
    • ↵* The actual effect of each composite cluster is the estimated coefficient multiplied with the actual number of positive SDoH factors in that composite cluster.

    • ↵† The P values < 0.05 are bolded.

    • Abbreviations: SDoH, social determinants of health; BMI, body mass index; CI, confidence interval.

    • View popup
    Table 4.

    Associations of Social Determinant of Health Risk Factors and Clusters with Control of HbA1c and Blood Pressure by Logistic Regression Models

    Outcome*Factors/Clusters†Odds RatioLowerUpperP value‡
    Uncontrolled diabetes (total N = 2,193 and N = 1,906 with complete data)Age0.970.960.98<0.001
    Gender0.880.691.140.336
    BMI0.990.971.000.141
    Social Background Score1.121.021.230.023
    Social Insecurities Score1.181.051.320.004
    Insurance/Employment Score1.241.061.470.009
    Federal Poverty Level0.690.391.230.204
    Housing Status0.770.481.230.274
    Social Isolation0.850.591.220.381
    Uncontrolled hypertension (total N = 3,865 and N = 3,338 with complete data)Age1.000.991.010.425
    Gender0.900.751.080.256
    BMI1.000.991.010.788
    Social Background Score1.000.931.080.984
    Social Insecurities Score1.161.061.260.001
    Insurance/Employment Score1.090.971.230.147
    Federal Poverty Level1.310.832.060.244
    Housing Status1.190.861.640.297
    Social Isolation1.130.871.480.364
    Uncontrolled combined diabetes/hypertension (total N = 4579 and N = 3,954 with complete data)Age0.990.991.000.050
    Gender0.870.741.010.071
    BMI1.011.001.010.223
    Social Background Score1.061.001.130.057
    Social Insecurities Score1.171.091.26<0.001
    Insurance/Employment Score1.171.061.290.002
    Federal Poverty Level1.020.701.480.936
    Housing Status1.040.791.380.773
    Social Isolation1.0720.8541.3460.549
    • ↵* Uncontrolled diabetes was defined as HbA1c ≥ 9% and uncontrolled hypertension was defined as SBP ≥ 140 mm Hg and/or DBP ≥ 90 mm Hg.

    • ↵† The actual effect of each composite cluster is the estimated natural log of odds ratio multiplied with the actual number of positive SDoH factors in that composite cluster.

    • ↵‡ The P values < 0.05 are bolded.

    • Abbreviations: BMI, body mass index; SDoH, social determinants of health.

  • Appendix Table 1.
  • Appendix Table 2.
  • Appendix Table 3.
  • Appendix Table 4:
  • Appendix Table 5:
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The Journal of the American Board of Family     Medicine: 35 (4)
The Journal of the American Board of Family Medicine
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Development of PRAPARE Social Determinants of Health Clusters and Correlation with Diabetes and Hypertension Outcomes
Wen Wan, Vivian Li, Marshall H. Chin, David N. Faldmo, Erin Hoefling, Michelle Proser, Rosy Chang Weir
The Journal of the American Board of Family Medicine Jul 2022, 35 (4) 668-679; DOI: 10.3122/jabfm.2022.04.200462

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Development of PRAPARE Social Determinants of Health Clusters and Correlation with Diabetes and Hypertension Outcomes
Wen Wan, Vivian Li, Marshall H. Chin, David N. Faldmo, Erin Hoefling, Michelle Proser, Rosy Chang Weir
The Journal of the American Board of Family Medicine Jul 2022, 35 (4) 668-679; DOI: 10.3122/jabfm.2022.04.200462
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Keywords

  • Community Health Centers
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  • Diabetes Mellitus
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