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Research ArticleOriginal Research

Racial and Socioeconomic Disparities in Access to Primary Care Among People With Chronic Conditions

Leiyu Shi, Chien-Chou Chen, Xiaoyu Nie, Jinsheng Zhu and Ruwei Hu
The Journal of the American Board of Family Medicine March 2014, 27 (2) 189-198; DOI: https://doi.org/10.3122/jabfm.2014.02.130246
Leiyu Shi
From the Department of Health Policy and Management (LS) and the Johns Hopkins Primary Care Policy Center (LS, XN, JZ, RH), Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; the Department of International Business, Ling Tung University, Taichung City, Taiwan (C-CC); and the School of Public Health and Center of Migrant Health Policy, Sun Yat-sen University, Guangzhou, Guangdong, PR China (RH).
DrPH, MBA, MPA
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Chien-Chou Chen
From the Department of Health Policy and Management (LS) and the Johns Hopkins Primary Care Policy Center (LS, XN, JZ, RH), Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; the Department of International Business, Ling Tung University, Taichung City, Taiwan (C-CC); and the School of Public Health and Center of Migrant Health Policy, Sun Yat-sen University, Guangzhou, Guangdong, PR China (RH).
PhD
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Xiaoyu Nie
From the Department of Health Policy and Management (LS) and the Johns Hopkins Primary Care Policy Center (LS, XN, JZ, RH), Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; the Department of International Business, Ling Tung University, Taichung City, Taiwan (C-CC); and the School of Public Health and Center of Migrant Health Policy, Sun Yat-sen University, Guangzhou, Guangdong, PR China (RH).
MS
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Jinsheng Zhu
From the Department of Health Policy and Management (LS) and the Johns Hopkins Primary Care Policy Center (LS, XN, JZ, RH), Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; the Department of International Business, Ling Tung University, Taichung City, Taiwan (C-CC); and the School of Public Health and Center of Migrant Health Policy, Sun Yat-sen University, Guangzhou, Guangdong, PR China (RH).
MS
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Ruwei Hu
From the Department of Health Policy and Management (LS) and the Johns Hopkins Primary Care Policy Center (LS, XN, JZ, RH), Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; the Department of International Business, Ling Tung University, Taichung City, Taiwan (C-CC); and the School of Public Health and Center of Migrant Health Policy, Sun Yat-sen University, Guangzhou, Guangdong, PR China (RH).
PhD
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  • Article
  • Figures & Data
  • References
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Article Figures & Data

Tables

    • View popup
    Table 1. Characteristics of Adults With Versus Without Chronic Conditions
    CharacteristicsSample (n)*TotalWithout Chronic ConditionsWith Chronic Conditions
    Age (years)†
        18–6418,67282.8 (0.5)96.3 (0.2)69.5 (0.7)
        ≥643,59417.2 (0.5)3.7 (0.2)30.6 (0.7)
    Sex†
        Male10,28748.4 (0.3)50.1 (0.5)46.8 (0.5)
        Female11,97951.6 (0.3)49.9 (0.5)53.2 (0.5)
    Race/ethnicity†
        Non-Hispanic white10,50667.7 (1.0)62.9 (1.3)72.3 (0.9)
        Non-Hispanic black4,19311.5 (0.7)10.5 (0.7)12.5 (0.7)
        Hispanic5,39914.1 (0.8)18.3 (1.0)10.0 (0.7)
        Non-Hispanic Asian1,7054.7 (0.4)6.3 (0.6)3.2 (0.4)
        Other4632.0 (0.2)2.0 (0.3)2.0 (0.3)
    Health insurance†
        Private12,91467.6 (0.7)69.5 (0.9)65.8 (0.8)
        Public4,74517.1 (0.5)9.9 (0.5)24.2 (0.7)
        No insurance4,60715.3 (0.5)20.7 (0.7)10.0 (0.4)
    Education†
        Less than bachelor's degree17,14371.8 (0.6)70 (0.8)73.6 (0.7)
        Bachelor's degree or higher4,94428.2 (0.6)30 (0.8)26.4 (0.7)
    Employment status†
        Unemployed8,07033.3 (0.6)21.8 (0.5)44.5 (0.8)
        Employed14,10666.7 (0.6)78.2 (0.5)55.5 (0.8)
    Poverty‡
        Poor/negative/near poor/low income8,75330.3 (0.7)29.5 (0.8)31.2 (0.8)
        Middle/high income13,51369.7 (0.7)70.5 (0.8)68.8 (0.8)
    Socioeconomic status†
        High3,41520.2 (0.5)23.6 (0.7)16.9 (0.6)
        Above average7,70238.5 (0.6)41.3 (0.7)35.8 (0.7)
        Below average6,65126.9 (0.5)25.3 (0.7)28.4 (0.6)
        Low4,23414.4 (0.4)9.8 (0.4)18.9 (0.6)
    Metropolitan statistical area†
        No3,13815.8 (1.3)13.3 (1.2)18.1 (1.5)
        Yes19,12884.2 (1.3)86.7 (1.2)81.9 (1.5)
    Census region†
        Northeast3,52218.5 (0.7)18.5 (0.8)18.4 (0.8)
        Midwest4,54321.7 (0.7)20.3 (0.8)23.1 (0.7)
        South8,33736.7 (0.9)35.9 (1.1)37.5 (1.0)
        West5,86423.1 (0.8)25.3 (0.9)21.1 (0.8)
    Perceived health status†
        Excellent/very good/good19,01987.2 (0.3)95.3 (0.2)79.4 (0.5)
        Fair/poor3,23712.8 (0.3)4.7 (0.2)20.6 (0.5)
    Perceived mental health status†
        Excellent/very good/good20,46292.6 (0.3)96.1 (0.3)89.2 (0.4)
        Fair/poor1,7927.4 (0.3)3.9 (0.3)10.8 (0.4)
    Need help with ADLs†
        No21,82898.4 (0.1)99.6 (0.1)97.2 (0.2)
        Yes3891.6 (0.1)0.4 (0.1)2.8 (0.2)
    Need help with instrumental ADLs†
        No21,46496.6 (0.2)99.1 (0.1)94.2 (0.3)
        Yes7693.4 (0.2)0.9 (0.1)5.8 (0.3)
    • Data are % (standard error) unless otherwise indicated.

    • ↵* Weighted N = 230,945,258.

    • ↵† P < .001 based on χ2 tests of the differences between those with and without chronic conditions.

    • ↵‡ P < .05 based on χ2 tests of the differences between those with and without chronic conditions.

    • ADL, activity of daily living.

    • View popup
    Table 2. Race/Ethnicity and Primary Care Access and Services Among Adults With Chronic Conditions
    Primary Care AttributesSample (n)*Race/Ethnicity
    Non-Hispanic WhiteNon-Hispanic BlackHispanicNon-Hispanic Asian
    Access
        Have USC†113,314,477
            No168811.9 (0.6)17.9 (1.0)21.6 (1.2)17.4 (2.3)
            Yes884788.1 (0.6)82.1 (1.0)78.4 (1.2)82.6 (2.3)
        Type of USC†97,611,079
            Facility432344.6 (1.5)51.1 (1.5)56.5 (2.1)42.9 (3.7)
            Person/Person in facility452455.4 (1.5)48.9 (1.5)43.5 (2.1)57.1 (3.7)
        USC specialty52,313,127
            Primary care419692.5 (0.7)93 (1.1)92.9 (1.6)97.2 (1.1)
            Other3287.5 (0.7)7 (1.1)7.1 (1.6)2.8 (1.1)
        USC location†97,575,176
            Office703186 (0.9)77.3 (1.4)69 (2.1)79.9 (2.5)
            Hospital181314 (0.9)22.7 (1.4)31 (2.1)20.1 (2.5)
        Difficulty in contacting USC by phone94,131,693
            Not very difficult810095.4 (0.4)95.0 (0.7)94.2 (0.7)95.3 (1.4)
            Very difficult4284.6 (0.4)5.0 (0.7)5.8 (0.7)4.7 (1.4)
        USC has office †hours nights/weekends87,156,665
            No503265.7 (1.3)65.3 (1.7)60.1 (1.9)47.6 (3.5)
            Yes287334.3 (1.3)34.7 (1.7)39.9 (1.9)52.4 (3.5)
        How long it takes to get to USC97,487,270
            ≤30 minutes779989 (0.7)87.5 (1.2)89.6 (1)88.1 (2.1)
            >30 minutes102911 (0.7)12.5 (1.2)10.4 (1)11.9 (2.1)
        How difficult it is to get to USC97,457,495
            Difficulty6005.9 (0.5)6.8 (0.7)7.1 (0.8)6.7 (1.5)
            Not difficult823394.1 (0.5)93.2 (0.7)92.9 (0.8)93.3 (1.5)
    Services
        Go to USC for preventive health care97,563,540
            No2032.3 (0.3)2.4 (0.4)2.4 (0.5)1.3 (0.5)
            Yes863497.7 (0.3)97.6 (0.4)97.6 (0.5)98.7 (0.5)
        Go to USC for referrals97,512,933
            No2182.5 (0.3)2.1 (0.4)3.1 (0.6)3.9 (1.6)
            Yes861297.5 (0.3)97.9 (0.4)96.9 (0.6)96.1 (1.6)
        USC provider asks about other treatments‡94,279,152
            No144416.0 (0.8)14.4 (1.0)20.6 (1.9)19.2 (2.5)
            Yes708984.0 (0.8)85.6 (1.0)79.4 (1.9)80.8 (2.5)
        USC provider listens†88,642,483
            No730.5 (0.1)1.8 (0.4)0.9 (0.3)0.9 (0.5)
            Yes780399.5 (0.1)98.2 (0.4)99.1 (0.3)99.1 (0.5)
    • Data are % (standard error) unless otherwise indicated.

    • ↵* Bold values indicate total weighted sample.

    • ↵† P < .001, based on χ2 tests of the differences between those with and without chronic conditions.

    • ↵‡ P < .01 based on χ2 tests of the differences between those with and without chronic conditions.

    • USC, usual source of care.

    • View popup
    Table 3. Logistic Regression Odds Ratios for Attributes of Primary Care Access and Services According to Race/Ethnicity Among People With Chronic Conditions
    Primary Care AttributesRace/Ethnicity
    Non-Hispanic Black vs. Non-Hispanic WhiteHispanic vs. Non-Hispanic WhiteNon-Hispanic Asian vs. Non-Hispanic White
    Access
        Have USC
            Yes0.8* (0.7–1.0)0.8† (0.6–0.9)0.7* (0.5–0.9)
            No1.01.01.0
        Type of USC
            Facility1.4‡ (1.2–1.6)1.4† (1.1–1.7)0.9 (0.6–1.2)
            Person/person in facility111
        USC specialty
            Primary care1.1 (0.7–1.6)1.4 (0.8–2.5)3.0† (1.3–6.8)
            Other111
        USC location
            Office0.5‡ (0.4–0.6)0.4‡ (0.3–0.5)0.7* (0.5–1.0)
            Hospital111
        Difficulty in contacting USC by phone
            Very difficult0.9 (0.6–1.3)0.9 (0.7–1.3)1.0 (0.5–2.0)
            Not very difficult111
        USC has office hours nights/weekends
            Yes1.1 (0.9–1.4)1.3† (1.1–1.6)2.0‡ (1.5–2.8)
            No111
        How long it takes to get to USC
            ≤30 minutes0.8 (0.6–1.1)1.1 (0.9–1.4)0.8 (0.5–1.3)
            >30 minutes111
        How difficult it is to get to USC
            Difficulty1.0 (0.8–1.3)0.8 (0.6–1.2)1.1 (0.6–1.8)
            Not difficult111
    Services
        Go to USC for preventive health care
            Yes0.9 (0.6–1.5)1.0 (0.6–1.8)1.9 (0.8–4.5)
            No111
        Go to USC for referrals
            Yes1.2 (0.7–2.0)0.8 (0.5–1.4)0.6 (0.2–1.5)
            No111
        USC provider listens
            Yes0.4† (0.2–0.8)0.9 (0.4–2.1)0.6 (0.2–2.0)
            No111
        Provider asks about other treatments
            Yes1.1 (0.9–1.3)0.8 (0.6–1.1)0.9 (0.6–1.2)
            No111
    • Data are odds ratios (95% confidence intervals). Logistic regressions were adjusted for the following personal characteristics: age, sex, insurance, socioeconomic status, metropolitan statistical area, census region, perceived health status, perceived mental health status, activities of daily living, and instrumental activities of daily living.

    • ↵* P < .05 based on test of significance of the odds ratios.

    • ↵† P < .01 based on test of significance of the odds ratios.

    • ↵‡ P < .001 based on test of significance of the odds ratios.

    • USC, usual source of care.

    • View popup
    Table 4. Logistic Regression Odds Ratios for Attributes of Primary Care Access and Services According to Socioeconomic Status Among People With Chronic Conditions
    Primary Care AttributesSocioeconomic Status
    High vs. LowAbove Average vs. LowBelow Average vs. Low
    Access
        Have USC
            Yes0.9 (0.7–1.1)1.3 (1.0–1.6)1.2 (0.8–1.6)
            No1.01.01.0
        USC type
            Facility1.0 (0.9–1.2)1.0 (0.8–1.1)0.9 (0.8–1.1)
            Person/Person in facility111
        USC specialty
            Primary care0.9 (0.6–1.5)0.8 (0.5–1.4)1.6 (0.8–3.2)
            Other111
        USC location
            Office1.0 (0.8–1.2)1.2 (0.9–1.5)1.1 (0.8–1.4)
            Hospital111
        Difficulty contacting USC by phone
            Very difficult1.3 (0.9–1.9)1.5 (1.0–2.4)1.2 (0.7–2.2)
            Not very difficult111
        USC has office hours nights/weekends
            Yes1.1 (0.9–1.3)1.1 (0.9–1.4)1.2 (0.9–1.5)
            No111
        How long it takes get to USC
            ≤30 minutes1.2 (0.9–1.5)1.2 (0.9–1.6)1.2 (0.8–1.6)
            >30 minutes111
        How difficult is it get to USC
            Difficulty0.7* (0.6–1.0)0.6* (0.4–0.9)0.5* (0.3–0.9)
            Not difficult111
    Services
        Go to USC for preventive health care
            Yes0.7 (0.4–1.2)0.8 (0.5–1.3)0.8 (0.4–1.7)
            No111
        Go to USC for referrals
            Yes0.9 (0.5–1.4)0.8 (0.5–1.4)1.5 (0.8–3.0)
            No111
        USC provider listens
            Yes0.7 (0.3–1.5)0.4* (0.2–0.9)0.4 (0.1–1.3)
            No111
        Provider asks about other treatments
            Yes1.1 (0.9–1.3)1.1 (0.9–1.4)1.4* (1.1–1.8)
            No111
    • Data are odds ratios (95% confidence intervals). Logistic regressions were adjusted for the following personal characteristics: age, race, sex, insurance, metropolitan statistical area, census region, perceived health status, perceived mental health status, activities of daily living, and instrumental activities of daily living.

    • ↵* P < .05 based on test of significance of the odds ratios.

    • USC, usual source of care.

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The Journal of the American Board of Family     Medicine: 27 (2)
The Journal of the American Board of Family Medicine
Vol. 27, Issue 2
March-April 2014
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Racial and Socioeconomic Disparities in Access to Primary Care Among People With Chronic Conditions
Leiyu Shi, Chien-Chou Chen, Xiaoyu Nie, Jinsheng Zhu, Ruwei Hu
The Journal of the American Board of Family Medicine Mar 2014, 27 (2) 189-198; DOI: 10.3122/jabfm.2014.02.130246

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Racial and Socioeconomic Disparities in Access to Primary Care Among People With Chronic Conditions
Leiyu Shi, Chien-Chou Chen, Xiaoyu Nie, Jinsheng Zhu, Ruwei Hu
The Journal of the American Board of Family Medicine Mar 2014, 27 (2) 189-198; DOI: 10.3122/jabfm.2014.02.130246
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