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Research ArticleOriginal Research

Disparities in Primary Care Wait Times in Medicaid versus Commercial Insurance

Evelyn G. Gotlieb, Karin V. Rhodes and Molly K. Candon
The Journal of the American Board of Family Medicine May 2021, 34 (3) 571-578; DOI: https://doi.org/10.3122/jabfm.2021.03.200496
Evelyn G. Gotlieb
From the University of Pennsylvania, Philadelphia (EGG, MKC); Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, East Garden City, NY (KVR); Leonard Davis Institute of Health Economics, Philadelphia, PA (MKC); Penn Center for Mental Health, Philadelphia, PA (MKC).
BS
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Karin V. Rhodes
From the University of Pennsylvania, Philadelphia (EGG, MKC); Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, East Garden City, NY (KVR); Leonard Davis Institute of Health Economics, Philadelphia, PA (MKC); Penn Center for Mental Health, Philadelphia, PA (MKC).
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Molly K. Candon
From the University of Pennsylvania, Philadelphia (EGG, MKC); Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, East Garden City, NY (KVR); Leonard Davis Institute of Health Economics, Philadelphia, PA (MKC); Penn Center for Mental Health, Philadelphia, PA (MKC).
PhD
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    Figure 1.

    Distribution of Wait Times (in Days) by State and Insurance Type in 2012, 2014, and 2016. An asterisk indicates a two-sample t-test showed a statistically significant difference between categories (P < 0.05). The P value is indicated above the bars.

Tables

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    Table 1.

    Summary Statistics of Predictors of Wait Times

    MedicaidMean (SD)CommercialMean (SD)
    Wait time (in days)13.0 (19.3)11.8 (17.2)
    Hypertensive0.50 (0.50)0.51 (0.50)
    FQHC0.01 (0.29)0.05 (0.21)
    ACO0.34 (0.47)0.35 (0.48)
    IHS0.37 (0.48)0.32 (0.47)
    HHI Index0.17 (0.20)0.15 (0.17)
    Medicaid beneficiaries per 1000220.0 (75.6)196.2 (73.2)
    Per capita income (in 1000s)51.0 (13.87)53.07 (14.59)
    PCPs per 10,0000.75 (0.32)0.79 (0.32)
    ACPs per 10,0001.08 (0.61)1.05 (0.56)
    FQHCs per 10000.14 (0.31)0.12 (0.24)
    Percent urbanized77.3%80.1%
    (28.0%)(24.6%)
    Number of calls57268740
    • This table includes summary statistics of three waves of experimental data from a multiyear simulated patient study (2012, 2014, 2016), as separated by insurance type of simulated patient. The definition for how hypertension is measured is a binary variable with 0 = no hypertension and 1 = hypertension.

    • ACO, accountable care organization; ACPs, advanced care practitioners; FQHC, Federally Qualified Health Center; HHI, Herfindahl-Hirschman Index; IHS, integrated health system; PCPs, primary care providers (MDs and DOs); SD, standard deviation.

    • View popup
    Table 2.

    Predictors of the Number of Days to Primary Care Appointments for Medicaid versus Commercially Insured Simulated Patients

    MedicaidCommercial
    Coef. (95% CI)P ValueCoef. (95% CI)P Value
    Hypertension−3.62 (−4.74, −2.50)<0.001−4.50 (−5.41, −3.60)<0.001
    FQHC flag4.48 (2.09, 6.87)<0.0013.22 (1.25, 5.19)0.001
    ACO indicator1.74 (0.14, 3.35)0.0331.20 (0.23, 2.16)0.015
    IHS indicator5.73 (4.30, 7.15)<0.0014.04 (2.96, 5.13)<0.001
    HHI index−2.30 (−5.93, 1.32)0.212−0.19 (−3.38, 3.01)0.909
    # Medicaid beneficiaries per 1000−0.014 (−0.03, −0.00)0.040−0.004 (−0.01, 0.00)0.355
    Per capita income (in 1000s)−0.11 (−0.24, 0.01)0.081−0.09 (−0.15, −0.03)0.002
    PCPs per 10,000−4.13 (−7.75, −0.51)0.025−0.39 (−2.95, 2.16)0.762
    ACPs per 10,0001.57 (−1.41, 4.55)0.3020.92 (−1.03, 2.87)0.355
    FQHCs per 1000−1.44 (−2.63, −0.26)0.017−1.29 (−3.07, 0.50)0.158
    Percent urban5.20 (1.34, 9.05)0.0082.82 (0.67, 5.57)0.045
    Quarter 2−0.21 (−3.22, 2.79)0.8890.63 (−2.23, 3.48)0.668
    Quarter 32.25 (−2.20, 6.70)0.3223.66 (−3.59, 10.92)0.322
    Quarter 41.51 (0.12, 2.90)0.0331.43 (0.42, 2.43)0.045
    20141.03 (−2.01, 4.07)0.5060.73 (−2.29, 3.76)0.635
    20162.20 (0.96, 3.44)0.0012.51 (1.46, 3.57)<0.001
    Intercept16.06 (8.08, 24.03)<0.00111.69 (7.43, 15.95)<0.001
    Number of calls57268740
    • This table includes regression analysis of three waves of experimental data from a multiyear simulated patient study (2012, 2014, 2016); analyses were conducted by separated by insurance type of simulated patient. The linear regressions include county-clustered standard errors and state fixed effects.

    • All P values were determined within groups (ie, they do not represent significant differences between Medicaid and commercially insured simulated patients).

    • ACO, accountable care organization; ACPs, advanced care practitioners; CI, confidence interval; FQHC, Federally Qualified Health Center; HHI, Herfindahl-Hirschman Index; IHS, integrated health system; PCPs, primary care providers (MDs and DOs).

    • View popup
    Table 3.

    Predictors of Wait Times for Primary Care Appointments for Medicaid Simulated Patients, by Medicaid Concentration

    Bottom 25% (Low) Medicaid Beneficiary Concentration in CountyTop 25% (High) Medicaid Beneficiary Concentration in County
    Coef. (95% CI)P ValueCoef. (95% CI)P > |t|
    Hypertension−3.77 (−6.13, 1.42)0.002−1.98 (−3.61, −0.35)0.018
    FQHC flag4.38 (0.22, 8.54)0.0395.46 (1.58, 9.35)0.006
    ACO indicator−0.27 (−3.11, 2.58)0.8521.74 (−0.44, 3.91)0.117
    IHS indicator7.66 (4.48, 10.84)<0.0013.86 (1.43, 6.28)0.002
    HHI index−2.49 (−8.86, 3.89)0.4422.66 (−3.64, 8.96)0.406
    Per capita income (in 1000s)0.052 (−0.31, 0.14)0.218−0.64 (−0.87, −0.42)<0.001
    PCPs per 10,000−5.41 (−10.46, −0.36)0.0360.22 (−5.63, 6.07)0.941
    ACPs per 10,0001.94 (−0.166, 5.54)0.2891.01 (−2.20, 4.23)0.535
    FQHCs per 10000.01 (−3.46, 3.47)0.996−3.11 (−6.33, −0.12)0.059
    Percent urban4.81 (−1.21, 10.84)0.1179.04 (2.87, 15.21)0.004
    Quarter 23.08 (−3.60, 9.76)0.363−3.00 (−6.02, 0.019)0.051
    Quarter 311.88 (1.09, 22.66)0.031−2.42 (−9.43, 4.60)0.497
    Quarter 41.69 (−1.71, 5.09)0.3260.52 (−1.60, 2.64)0.628
    2014−1.77 (−8.79, 5.26)0.6203.58 (0.22, 6.95)0.037
    20161.77 (−1.01, 4.55)0.2101.06 (−1.24, 3.36)0.373
    Intercept3.08 (−4.94, 11.09)0.44923.64 (15.80, 31.48)<0.001
    Number of calls12171700
    • This table includes summary statistics of three waves of experimental data from a multiyear simulated patient study (2012, 2014, 2016), as separated by county-level Medicaid concentration data. Only Medicaid callers were included. The linear regressions include county-clustered standard errors and state fixed effects.

    • All P values are within groups (ie, they do not represent difference-in-difference significance between low and high concentration counties) and are derived from two separate regressions.

    • ACO, accountable care organization; ACPs, advanced care practitioners; CI, confidence interval; FQHC, Federally Qualified Health Center; HHI, Herfindahl-Hirschman Index; IHS, integrated health system; PCPs, primary care providers (MDs and DOs).

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The Journal of the American Board of Family     Medicine: 34 (3)
The Journal of the American Board of Family Medicine
Vol. 34, Issue 3
May/June 2020
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Disparities in Primary Care Wait Times in Medicaid versus Commercial Insurance
Evelyn G. Gotlieb, Karin V. Rhodes, Molly K. Candon
The Journal of the American Board of Family Medicine May 2021, 34 (3) 571-578; DOI: 10.3122/jabfm.2021.03.200496

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Disparities in Primary Care Wait Times in Medicaid versus Commercial Insurance
Evelyn G. Gotlieb, Karin V. Rhodes, Molly K. Candon
The Journal of the American Board of Family Medicine May 2021, 34 (3) 571-578; DOI: 10.3122/jabfm.2021.03.200496
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Keywords

  • Access to Health Care
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  • Linear Models
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