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Research ArticleOriginal Research

Effect of Retail Clinic Use on Continuity of Care Among Medicare Beneficiaries

N. Ogechi Abara, Nicole Huang, Mukaila A. Raji and Yong-Fang Kuo
The Journal of the American Board of Family Medicine July 2019, 32 (4) 531-538; DOI: https://doi.org/10.3122/jabfm.2019.04.180349
N. Ogechi Abara
From the Department of Internal Medicine, Division of Geriatrics (NOA, MAR), Sealy Center on Aging (MAR, YFK), School of Medicine (NH), and Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX (MAR, YFK).
MD
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Nicole Huang
From the Department of Internal Medicine, Division of Geriatrics (NOA, MAR), Sealy Center on Aging (MAR, YFK), School of Medicine (NH), and Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX (MAR, YFK).
BSc
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Mukaila A. Raji
From the Department of Internal Medicine, Division of Geriatrics (NOA, MAR), Sealy Center on Aging (MAR, YFK), School of Medicine (NH), and Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX (MAR, YFK).
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Yong-Fang Kuo
From the Department of Internal Medicine, Division of Geriatrics (NOA, MAR), Sealy Center on Aging (MAR, YFK), School of Medicine (NH), and Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX (MAR, YFK).
PhD
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Article Figures & Data

Tables

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    Table 1.

    Characteristics Associated with Retail Clinic Visits in the Entire Study Cohort

    CharacteristicHouston Metro Medicare PopulationRetail Clinic Medicare PopulationRetail Clinic Visit, %OR‡95% CI
    Overall366,22547061.29
    Age (years)
        <6551,4654450.860.780.68 to 0.89
        65–6991,42011961.311.00
        70–7480,72111321.401.010.92 to 1.10
        75–7955,9027511.340.900.82 to 1.00
        80–8440,4135341.330.830.74 to 0.93
        ≥8546,9346481.400.840.75 to 0.93
    Mean ± SD71.89 ± 11.7773.27 ± 10.24
    Median (Q1, Q3)72 (67, 79)73 (68, 80)
    Sex
        Male166,66318041.081.00
        Female199,56229021.451.291.21 to 1.38
    Race/Ethnicity
        White249,98037951.521.741.55 to 1.95
        Black53,4454180.781.00
        Hispanic41,9382840.680.920.78 to 1.09
        Other20,8622091.001.150.95 to 1.40
    Medicaid Eligibility*
        Yes47,6794050.851.00
        No318,54643011.351.261.12 to 1.43
    Distance to nearest retail clinic
        ≤1 mile164,80626631.622.472.09 to 2.92
        >1 to ≤5 miles174,34118761.081.811.53 to 2.14
        >5 miles27,0751670.621.00
    Chronic conditions†
        011,6519390.840.700.63 −0.77
        147,1526391.361.00
        250,0636911.381.010.90 to 1.12
        3+114,12818361.611.060.96 to 1.17
    Hospitalization in 2014†
        0271,55631591.161.00
        134,2926081.771.221.11 to 1.34
        299301861.871.221.05 to 1.43
        3+72161522.111.411.19 to 1.68
    Provider visit in 2014†
        Mean ± SD7.75 ± 7.6410.34 ± 8.931.021.02 to 1.03
        Median (Q1, Q3)6 (2, 11)8 (4, 14)
    Having an identified primary care physician in 2014†
        Yes163,97223561.440.900.84 to 0.97
        No159,02217491.101.00
    • ↵* To be eligible for Medicaid, individuals must meet financial criteria based on taxable income and tax filing relationships. For those aged 65 years and older, eligibility is determined using income methodologies of the supplemental security income (SSI) program. (Borella M, De Nardi M, French E. Who receives Medicaid in old age? Rules and reality. Fiscal Studies 2018;39:65–93).

    • ↵† Beneficiaries with continuous enrollment of Part A and B without HMO in 2014.

    • ↵‡ Results from multivariable logistic regression to examine patient characteristics associated with use of retail clinic (n = 322,994; those with Medicare Part A and B without HMO in 2014).

    • OR, odd ratio; CI, confidential interval; SD, standard deviation.

    • View popup
    Table 2.

    Comparisons Between Patients With Retail Clinic Visits and Patients Without Retail Clinic Visits Matched by Propensity Score

    Patients with an identified PCP in 2014Patients without an identified PCP in 2014
    Retail ClinicRetail Clinic
    NoYes†Standardized Difference (%)NoYes‡Standardized Difference (%)
    N7047234952351745
    Age, years
        <657.4%8.0%2.829.7%10.2%1.93
        65–6919.5%19.5%21.5%21.3%
        70–7426.6%26.0%25.9%26.0%
        75–7918.1%18.6%16.4%16.4%
        80–8412.8%12.7%12.0%11.9%
        ≥8515.6%15.2%14.5%14.3%
    Sex
        Male34.9%35.3%2.0242.4%42.7%1.72
        Female65.1%64.7%57.6%57.3%
    Race/ethnicity
        White82.3%81.9%1.5782.0%81.4%1.94
        Black7.9%8.2%8.9%9.0%
        Hispanic6.3%6.2%5.3%5.7%
        Other3.5%3.7%3.8%3.9%
    Medicaid eligibility
        Yes7.2%7.8%2.429.3%8.8%−1.79
        No92.8%92.2%90.7%91.2%
    Distance to nearest retail clinic
        ≤1 mile55.0%54.4%1.3757.6%57.4%2.27
        >1 to ≤5 miles41.8%42.3%38.7%38.4%
        >5 miles3.2%3.3%3.7%4.2%
    Chronic conditions (%)
        012.1%12.2%0.8637.6%37.4%0.51
        115.4%15.5%15.7%15.7%
        218.8%18.5%14.7%14.6%
        3+53.7%53.8%32.0%32.3%
    Hospitalization in 2014
        074.3%73.6%4.8982.9%81.8%5.54
        117.3%17.0%11.7%11.8%
        25.1%5.1%3.4%3.6%
        3+3.3%4.3%2.0%2.8%
    Provider visit in 2014
        Mean ± SD12.72 ± 8.2812.97 ± 8.802.935.97 ± 5.846.23 ± 6.224.20
    COC in 2014*
        Mean ± SD0.82 ± 0.270.81 ± 0.28−4.16
    PCP visit in 2015*t testt test
        Mean ± SD4.65 ± 3.845.00 ± 4.48P = .00031.65 ± 2.372.26 ± 3.32P < .0001
    COC in 2015*
        Mean ± SD0.80 ± 0.310.75 ± 0.33P < .0010.74 ± 0.370.64 ± 0.40P < .0001
    Saw the primary care physician in 2015*χ2
        No18.3%21.4%P = .0012
        Yes81.7%78.6%
    • ↵* Variables were not included in the propensity model.

    • ↵† Seven patients with an identified PCP and retail clinic visit were not within the overlap of propensity score; therefore they were excluded in matched cohort.

    • ↵‡ Four patients without an identified PCP and having retail clinic visit were not within the overlap of propensity score; therefore they were excluded in matched cohort.

    • PCP, primary care physician; SD, standard deviation; COC, Continuity of Care Index.

    • View popup
    Table 3.

    Comparisons Between Type of Retail Clinic Visit and Continuity of Care for Medicare Beneficiaries in 2015

    Type of retail clinic visit in 2015*Proportion of Patients Who Saw PCP (%)P-ValueContinuity of Care IndexP-Value
    Chronic condition/preventive care72.5.0120.68 ± 0.36.0002
    Simple acute condition75.40.75 ± 0.34
    Vaccination83.10.80 ± 0.31
    • ↵* Single retail clinic visits for multiple complaints were assigned a single visit type designation, according to the highest ranking complaint, as designated by the following hierarchy (highest to lowest): chronic condition/preventive care, simple acute condition, and vaccination. Therefore, patients who received care for chronic conditions/preventive care may have also received care for simple acute conditions or for vaccination in one visit. However, patients who sought retail clinic care for vaccination received only vaccination at that visit, and no other type of care.

    • PCP, primary care physician.

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The Journal of the American Board of Family     Medicine: 32 (4)
The Journal of the American Board of Family Medicine
Vol. 32, Issue 4
July-August 2019
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Effect of Retail Clinic Use on Continuity of Care Among Medicare Beneficiaries
N. Ogechi Abara, Nicole Huang, Mukaila A. Raji, Yong-Fang Kuo
The Journal of the American Board of Family Medicine Jul 2019, 32 (4) 531-538; DOI: 10.3122/jabfm.2019.04.180349

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Effect of Retail Clinic Use on Continuity of Care Among Medicare Beneficiaries
N. Ogechi Abara, Nicole Huang, Mukaila A. Raji, Yong-Fang Kuo
The Journal of the American Board of Family Medicine Jul 2019, 32 (4) 531-538; DOI: 10.3122/jabfm.2019.04.180349
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Keywords

  • Ambulatory Care
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