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Table 4 Associations between health insurance and EOL care, expenditures and place of death

From: Disparities in end-of-life care, expenditures, and place of death by health insurance among cancer patients in China: a population-based, retrospective study

Variable

OS a

ED b

IS c

EOL expenditures d

POD e

IRR (95% CI)

IRR (95% CI)

IRR (95% CI)

Exp (beta) (95%)

AOR (95%)

NRCMS (vs. URBMI)

0.89 (0.78, 1.02)

1.26 (0.87, 1.83)

1.37 (1.12, 1.67) **

1.80 (1.21, 2.70) **

9.12 (3.65, 23.02) **

UEBMI (vs. URBMI)

1.26 (1.12, 1.40) ***

3.50 (2.58, 4.73) ***

1.26 (1.05, 1.50) ***

3.21 (2.26, 4.56) ***

30.09 (12.56, 72.11) **

UEBMI (vs. NRCMS)

1.41 (1.27, 1.56) ***

2.77 (2.17, 3.55) ***

0.92 (0.80, 1.06)

1.77 (1.30, 2.43) ***

3.28 (1.82, 5.92) ***

  1. NRCMS New Rural Cooperative Medical Scheme; UEBMI Urban Employee Basic Medical Insurance; URBMI Urban Resident-based Basic Medical Insurance; EOL End of life; OS Outpatient services; ED Emergency department; IS Inpatient services; POD Place of death; IRR Incidence rate ratio; AOR Adjusted odds ratio. Controlling for gender, age group, marital status, education attainment, and survival. * P < 0.05 ** P < 0.01 *** P < 0.001. a: generalized linear models with a Poisson distribution and log link function; b: generalized linear models with a Poisson distribution and log link function; c: generalized linear models with a Poisson distribution and log link function; d: generalized linear models with a gamma distribution and log link function; e: generalized linear models with a binominal distribution and logit link function. The marital status variable was dichotomized into 1) currently married and 2) previously married or never married (single)