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Research ArticleOriginal Research

Impact of the Affordable Care Act on Health Care Access and Utilization Among Latinos

Héctor E. Alcalá, Jie Chen, Brent A. Langellier, Dylan H. Roby and Alexander N. Ortega
The Journal of the American Board of Family Medicine January 2017, 30 (1) 52-62; DOI: https://doi.org/10.3122/jabfm.2017.01.160208
Héctor E. Alcalá
the Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville (HEA); the Department of Health Services Administration, School of Public Health, University of Maryland, College Park (JC, DHR); and the Department of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, PA (BAL, ANO).
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Jie Chen
the Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville (HEA); the Department of Health Services Administration, School of Public Health, University of Maryland, College Park (JC, DHR); and the Department of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, PA (BAL, ANO).
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Brent A. Langellier
the Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville (HEA); the Department of Health Services Administration, School of Public Health, University of Maryland, College Park (JC, DHR); and the Department of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, PA (BAL, ANO).
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Dylan H. Roby
the Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville (HEA); the Department of Health Services Administration, School of Public Health, University of Maryland, College Park (JC, DHR); and the Department of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, PA (BAL, ANO).
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Alexander N. Ortega
the Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville (HEA); the Department of Health Services Administration, School of Public Health, University of Maryland, College Park (JC, DHR); and the Department of Health Management and Policy, Dornsife School of Public Health, Drexel University, Philadelphia, PA (BAL, ANO).
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    Figure 1.

    Rates of access and utilization measures, by heritage group. Data from the 2011 to 2015 National Health Interview Survey (N = 86,467).

Tables

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    Table 1.

    Sample Characteristics, by Heritage Group, 2011 to 2015 National Health Interview Survey (N = 86,467)

    Total (n = 86,467)Non-Latino White (n = 65,703)Puerto Rican (n = 1,995)Mexican (n = 12,983)Cuban (n = 871)Central American (n = 3,592)Other Latino (n = 1,323)P Value
    n%n%n%n%n%n%n%
    Year.304
        201116,63219.2412,50619.0339119.602,56119.7317820.4472120.0727520.79
        201217,32520.0413,15320.0239519.802,64820.4016919.4070519.6325519.27
        201317,03619.7012,88219.6140120.102,59219.9618821.5870819.7126520.03
        201418,65621.5814,28521.7441220.652,73621.0719222.0475220.9427921.09
        201516,81819.4512,87719.6039619.852,44618.8414416.5370619.6524918.82
    Citizenship status<.001
        US-born71,17682.3262,68395.401,15157.695,83644.9526930.8858716.3465049.13
        Naturalized6,4927.511,9492.9781340.751,89914.6331736.391,12531.3238929.40
        Non–US citizen8,79910.181,0711.63311.555,24840.4228532.721,88052.3428421.47
    Interview language<.001
        English81,20693.9265,57499.801,84192.289,84375.8147354.312,43667.821,03978.53
        Spanish5,1515.96380.061537.673,13124.1239645.461,14931.9928421.47
        Other1100.13910.1410.0590.0720.2370.1900.00
    Age (years)<.001
        18–249,79411.336,82810.3927413.732,00415.44809.1845112.5615711.87
        25–3418,73621.6713,38420.3747823.963,44126.5015818.1496426.8431123.51
        35–4418,63821.5613,13619.9946823.463,56427.4521024.1198027.2828021.16
        45–5419,30122.3215,20723.1541220.652,38718.3925028.7073120.3531423.73
        55–6419,99823.1317,14826.1036318.201,58712.2217319.8646612.9726119.73
    Female sex45,99853.2034,55652.591,18959.607,04754.2845151.781,95954.5479660.17<.001
    Married44,91951.9534,40152.3671035.597,00253.9343549.941,84951.4852239.46<.001
    Family income<.001
        <100% FPL14,64716.948,67213.2066433.283,79629.2420423.4291225.3939930.16
        100–200% FPL15,53417.979,53614.5143021.553,98030.6621024.111,05729.4332124.26
        >200% FPL56,28665.1047,49572.2990145.165,20740.1145752.471,62345.1860345.58
    Education<.001
        Less than high school11,52013.324,4006.7047423.765,10839.3410311.831,13331.5430222.83
        High school20,41023.6015,02722.8756628.373,41026.2728232.3880622.4431924.11
        Some college education17,49620.2313,90021.1640020.052,18716.8511012.6361317.0728621.62
        College degree27,91932.2924,05336.6145822.961,93414.9030234.6782623.0034626.15
        More than college degree9,12210.558,32312.67974.863442.65748.502145.96705.29
    US Census region<.001
        Northeast13,98916.1811,21117.061,05152.683122.40515.8678821.9457643.54
        Midwest19,66222.7417,80827.101959.771,38610.68242.761885.23614.61
        South28,38732.8321,10432.1256728.424,16832.1073384.161,54442.9827120.48
        West24,42928.2515,58023.711829.127,11754.82637.231,07229.8441531.37
    Self-reported health status<.001
        Excellent25,93329.9920,16430.6947423.763,42026.3433938.921,13831.6839830.08
        Very good28,81833.3323,01235.0254727.423,60727.7824027.551,04629.1236627.66
        Good21,58224.9615,29023.2755827.974,17432.1517019.521,04829.1834225.85
        Fair7,7768.995,4308.2631815.941,46811.319510.913068.5215912.02
        Poor2,3582.731,8072.75984.913142.42273.10541.50584.38
    Chronic conditions
        Hypertension20,22323.3916,37424.9247023.562,33918.0220323.3151614.3732124.26<.001
        Coronary heart disease2,0932.421,7492.66603.011841.42222.53481.34302.27<.001
        Heart condition/disease4,8535.614,2236.431135.663492.69323.67812.26554.16<.001
        Asthma11,19012.949,03813.7648024.061,0898.3911312.972968.2417413.15<.001
        Cancer5,1255.934,6397.06824.112772.13182.07641.78453.40<.001
        Diabetes5,9146.844,2666.4920810.431,0938.42556.311754.871178.84<.001
    Any functional limitation26,01230.0821,14532.1871535.842,95822.7816318.7165418.2137728.50<.001
    • FPL, federal poverty level.

    • View popup
    Table 2.

    Odds of Access and Utilization of Health Care as a Function of Year, Heritage Group, Citizenship Status, and Interview Language, 2011 to 2015 National Health Interview Survey (N = 86,467)

    InsuredDelay in CareForgo CareED UsePhysician Visit
    OR95% CIOR95% CIOR95% CIOR95% CIOR95% CI
    Year
        2011
        20121.030.96–1.100.910.85–0.980.970.90–1.050.960.89–1.030.970.92–1.03
        20131.020.95–1.100.81*0.75–0.870.90†0.82–0.980.950.89–1.021.010.96–1.07
        20141.43*1.32–1.550.75*0.69–0.810.77*0.70–0.850.92†0.86–0.991.13*1.06–1.20
        20151.82*1.68–1.980.63*0.58–0.690.67*0.61–0.730.930.86–1.011.030.97–1.09
    Heritage group
        Non-Latino white
        Puerto Rican1.050.90–1.220.860.72–1.030.940.78–1.141.42*1.24–1.630.900.79–1.02
        Mexican0.68*0.63–0.730.83*0.77–0.910.960.87–1.060.83*0.77–0.910.87*0.82–0.93
        Cuban0.980.75–1.291.080.88–1.341.33†1.02–1.731.150.88–1.510.960.82–1.13
        Central American0.66*0.59–0.741.080.94–1.241.28*1.10–1.491.070.94–1.221.010.91–1.11
        Other Latinos1.010.84–1.220.920.75–1.130.990.79–1.241.25†1.07–1.460.900.78–1.02
    Citizenship status
        US-born
        Naturalized0.86*0.78–0.950.960.86–1.071.030.90–1.170.920.83–1.011.09†1.01–1.17
        Non–US citizen0.34*0.31–0.371.100.99–1.241.121.00–1.260.78*0.69–0.880.74*0.68–0.80
    Interview language
        English
        Spanish0.79*0.71–0.871.050.93–1.180.86†0.75–0.980.62*0.55–0.710.80*0.74–0.87
        Other0.55†0.31–0.980.610.29–1.310.530.27–1.040.800.35–1.820.800.55–1.17
    • Models also control for age, sex, marital status, family income, education, US Census region, self-reported health status, chronic conditions, and functional limitations.

    • ↵* P < .01.

    • ↵† P < .05.

    • CI, confidence interval; ED, emergency department; OR, odds ratio.

    • View popup
    Table 3.

    Odds of Access and Utilization of Health Care as a Function of Year and Heritage Group Interaction Citizenship, 2011 to 2015 National Health Interview Survey (N = 86,467)

    InsuredDelay in CareForgo CareED UsePhysician Visit
    OR95% CIOR95% CIOR95% CIOR95% CIOR95% CI
    Heritage
        Non-Latino white
        Puerto Rican1.050.88–1.260.970.78–1.191.160.93–1.441.59*1.36–1.850.940.81–1.09
        Mexican0.67*0.62–0.730.89†0.81–0.981.000.89–1.120.81*0.74–0.890.85*0.79–0.91
        Cuban0.910.71–1.171.220.94–1.581.52†1.10–2.101.32†1.05–1.651.010.83–1.22
        Central American0.63*0.55–0.721.100.93–1.291.35*1.14–1.601.100.94–1.280.920.81–1.04
        Other Latinos1.140.90–1.430.820.63–1.070.920.70–1.201.25†1.04–1.500.910.76–1.08
    Time period
        Before ACA
        After ACA1.56*1.46–1.670.78*0.74–0.840.78*0.72–0.840.960.91–1.011.07*1.02–1.12
    Heritage group × time period
        White × after ACA
        Puerto Rican × after ACA0.980.72–1.320.71†0.52–0.980.53*0.35–0.790.76†0.60–0.970.880.70–1.11
        Mexican × after ACA1.030.92–1.160.82†0.71–0.950.900.76–1.061.070.94–1.221.070.97–1.17
        Cuban × after ACA1.210.85–1.730.700.43–1.150.640.39–1.060.670.38–1.170.900.70–1.17
        Central American × after ACA1.150.94–1.400.940.74–1.210.860.65–1.140.940.74–1.201.25†1.04–1.49
        Other Latino × after ACA0.730.54–1.001.320.86–2.041.220.78–1.901.010.75–1.340.970.73–1.30
    • Models also control for citizenship status, interview language, age, sex, marital status, family income, education, US Census region, self-reported health status, chronic conditions, and functional limitations.

    • ↵* P < .01.

    • ↵† P < .05.

    • ACA, Patient Protection and Affordable Care Act; CI, confidence interval; OR, odds ratio.

    • View popup
    Table 4.

    Odds of Access and Utilization of Health Care as a Function of Year and Citizenship Status or Interview Language Interactions, 2011 to 2015 National Health Interview Survey

    Outcome
    InsuredDelay in CareForgo CareED UsePhysician Visit
    OR95% CIOR95% CIOR95% CIOR95% CIOR95% CI
    Citizenship × time period* (n = 20,764)
        US-born × after ACA
        Naturalized × after ACA0.980.82–1.171.050.83–1.321.090.84–1.401.020.84–1.241.100.94–1.28
        Non–US citizen × after ACA1.030.81–1.300.800.62–1.030.830.62–1.120.940.76–1.161.150.96–1.36
    Interview language × time period† (n = 20,745)
        English × after ACA
        Spanish × after ACA1.020.87–1.200.970.79–1.190.920.74–1.140.960.76–1.221.17‡1.01–1.37
    • ↵* Models also control for race, interview language, age, sex, marital status, family income, education, US Census region, self-reported health status, chronic conditions, and functional limitations.

    • ↵† Models also control for race, citizenship, age, sex, marital status, family income, education, US Census region, self-reported health status, chronic conditions, and functional limitations. These analyses excluded individuals who completed the National Health Interview Survey in a language other than English or Spanish.

    • ↵‡ P < .05.

    • ACA, Patient Protection and Affordable Care Act; CI, confidence interval; ED, emergency department; OR, odds ratio.

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The Journal of the American Board of Family     Medicine: 30 (1)
The Journal of the American Board of Family Medicine
Vol. 30, Issue 1
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Impact of the Affordable Care Act on Health Care Access and Utilization Among Latinos
Héctor E. Alcalá, Jie Chen, Brent A. Langellier, Dylan H. Roby, Alexander N. Ortega
The Journal of the American Board of Family Medicine Jan 2017, 30 (1) 52-62; DOI: 10.3122/jabfm.2017.01.160208

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Impact of the Affordable Care Act on Health Care Access and Utilization Among Latinos
Héctor E. Alcalá, Jie Chen, Brent A. Langellier, Dylan H. Roby, Alexander N. Ortega
The Journal of the American Board of Family Medicine Jan 2017, 30 (1) 52-62; DOI: 10.3122/jabfm.2017.01.160208
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