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. 2021 Oct 4;37(13):3289–3294. doi: 10.1007/s11606-021-07140-6

Table 3.

Multivariate Linear Model Estimate of PCP Effect on VHA Costs, Pooled Data, Fiscal Years 2016–2019 (N = 23,634,549)

95% confidence interval
Variable Parameter estimate Lower bound Upper bound p value|
Intercept −21,407.00 −21,510.9 −21,303.1 <.0001
No PCP 3,273.64 3,249.7 3,297.5 <.0001
Age in years −116.81 −118.5 −115.1 <.0001
Age ≥ 35 and < 45 548.23 509.9 586.6 <.0001
Age ≥ 45 and < 55 1,780.00 1,731.9 1,828.1 <.0001
Age ≥ 55 and < 65 2,840.15 2,779.0 2,901.3 <.0001
Age ≥ 65 and < 75 4,088.72 4,013.1 4,164.3 <.0001
Age ≥ 75 6,356.02 6,258.5 6,453.5 <.0001
Gender (female) −894.01 −920.2 −867.8 <.0001
Marital status (married) −850.83 −865.6 −836.0 <.0001
Racial status (White) −975.80 −995.3 −956.3 <.0001
Racial status (Black) −1,296.39 −1,322.2 −1,270.6 <.0001
Disability rating (%) −9.35 −9.7 −8.9 <.0001
Disability rating 70%+ 388.75 354.9 422.6 <.0001
No private health insurance 577.47 557.2 597.7 <.0001
Enrolled in Medicare 700.69 676.6 724.8 <.0001
Drive time to closest VHA PCP (min) −5.26 −5.7 −4.8 <.0001
CPM risk score 385.26 385.1 385.4 <.0001
FY 2017 201.78 182.1 221.5 <.0001
FY 2018 806.96 787.2 826.7 <.0001
FY 2019 1,289.17 1,269.3 1,309.0 <.0001

Notes: PCP, enrolled with a Veterans Health Administration primary care provider. The fixed effects of the 140 hospitals are not shown. Reference groups were age < 35, racial status (other), and FY 2016