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Table 2 Regression results: adjusted relationship between income quintile and spending on health services in the last year of life for a cross-section of British Columbians in their last year of life, 2004-2006

From: Income inequities in end-of-life health care spending in British Columbia, Canada: A cross-sectional analysis, 2004-2006

Total Population (n = 58,880)

 

All services combined

Hospital care

General practitioners

Medical specialists

Prescription drugs

Income 1 (reference)

---

---

---

---

---

Income 2

0.024

0.009

0.050***

0.040**

0.072***

Income 3

0.006

-0.020

0.061***

0.055***

0.073***

Income 4

-0.040**

-0.091***

0.050***

0.065***

0.106***

Income 5

-0.037*

-0.115***

0.020*

0.137***

0.208***

Females (n = 30,087)

 
 

All services combined

Hospital care

General practitioners

Medical specialists

Prescription drugs

Income 1 (reference)

---

---

---

---

---

Income 2

-0.014

-0.051

0.005

0.017

0.055**

Income 3

-0.004

-0.030

0.032**

0.033

0.067**

Income 4

-0.058**

-0.111**

0.014

0.041

0.030

Income 5

-0.059**

-0.132***

-0.009

0.076***

0.122***

Males (n = 28,013)

    
 

All services combined

Hospital care

General practitioners

Medical specialists

Prescription drugs

Income 1 (reference)

---

---

---

---

---

Income 2

0.038

0.022

0.068***

0.068***

0.118***

Income 3

0.014

-0.015

0.096***

0.083***

0.151***

Income 4

-0.030

-0.096**

0.063***

0.104***

0.222***

Income 5

-0.026

-0.116***

0.022

0.200***

0.316***

  1. Model adjusted for age, health status, cancer death, year of death, urban dwelling, residential care, and sex (sex-pooled model only). See Additional file 1 for all regression coefficients.
  2. Regression models are GLM with log link (dependent variables thus modeled as log of expenditure in last year of life).
  3. * p < 0.05, ** p < 0.01, *** p < 0.001
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International Journal for Equity in Health

ISSN: 1475-9276

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