Article Figures & Data
Figures
- Figure 1
Proportion of primary care visits by insurance type and out-of-pocket expenditure, 2002-2017.
OOPE = out-of-pocket expenditure.
Notes: Categorization of visits is detailed in Methods. Darker bars represent $0 out-of-pocket expenditure visits, whereas lighter bars represent visits with an out-of-pocket expenditure.
- Figure 2
Scatterplots of total expenditure per primary care visit, 2002-2017.
Notes: The y axis represents dollar amounts adjusted to 2017 US dollars using the Consumer Price Index. The line represents the fractional polynomial.
- Figure 3
Scatterplots of out-of-pocket expenditure per primary care visit, 2002-2017.
Notes: The y axis represents dollar amounts adjusted to 2017 US dollars using the Consumer Price Index. The line represents the fractional polynomial.
- Figure 4
Mean total expenditure per visit by insurance type, 2002-2017.
Notes: Figure represents the postprediction average marginal effects derived from two generalized linear models (one with year as a continuous variable and one with year as a categorical variable). Each model included insurance type, year as either a continuous or categorical variable, an interaction term between insurance type and year, electrocardiograms, radiographs, magnetic resonance imaging and computed tomography scans, and laboratory tests. The 95% CIs are plotted only for the categorical model. Total visit expenditures are adjusted to 2017 US Dollars using the Consumer Price Index.
- Figure 5
Mean out-of-pocket expenditure per visit by insurance type, 2002-2017.
Notes: The figure represents the post-predication average marginal effects derived from two 2-part models (one with year as a continuous variable and one with year as a categorical variable). Each model included insurance type, year as either a continuous or categorical variable, an interaction term between insurance type and year, electrocardiograms, radiographs, magnetic resonance imaging and computed tomography scans, and laboratory tests. The 95% CIs are plotted only for the categorical model. Total visit expenditures are adjusted to 2017 US Dollars using Consumer Price Index.
Tables
- Table 1
Total Visit Expenditure and Out-of-Pocket Expenditure by Insurance Type, 2002-2017
Insurance and Years Total Visit Expenditure, $ Out-of-Pocket Expenditure, $ 10th 25th 50th 75th 90th 10th 25th 50th 75th 90th Private insurance 2002-2003 48 66 90 145 239 0 7 14 20 27 2004-2005 53 68 93 147 245 0 10 19 25 31 2006-2007 47 65 91 143 233 0 12 18 24 30 2008-2009 55 74 107 168 304 0 11 17 23 34 2010-2011 60 80 118 188 334 0 11 22 27 34 2012-2013 61 83 120 193 335 0 0 21 27 37 2014-2015 61 83 123 193 339 0 0 16 26 36 2016-2017 63 88 129 204 382 0 0 15 26 40 Medicare 2002-2003 42 63 84 139 274 0 0 0 9 20 2004-2005 43 62 79 119 202 0 0 0 6 19 2006-2007 41 62 84 122 203 0 0 0 12 20 2008-2009 46 67 98 142 259 0 0 0 11 23 2010-2011 49 73 108 153 261 0 0 0 11 22 2012-2013 48 73 106 149 245 0 0 0 11 21 2014-2015 52 73 106 154 262 0 0 0 10 21 2016-2017 52 75 109 170 298 0 0 0 10 20 Medicaid 2002-2003 35 50 83 138 240 0 0 0 0 1 2004-2005 33 46 71 114 182 0 0 0 0 1 2006-2007 33 49 79 131 201 0 0 0 0 1 2008-2009 34 51 82 131 203 0 0 0 0 1 2010-2011 34 51 81 128 200 0 0 0 0 0 2012-2013 34 52 84 135 212 0 0 0 0 0 2014-2015 36 54 85 137 218 0 0 0 0 0 2016-2017 37 56 85 136 229 0 0 0 0 0 Notes: Table shows the 10th, 25th, 50th, 75th, and 90th percentile of all visits by insurance type across study years. Results are survey adjusted, and all dollar amounts are adjusted to 2017 US dollars using the Consumer Price Index.
Supplemental Appendix
Files in this Data Supplement:
- Supplemental data: Appendix - PDF file
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