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Table 2 Association between ambulance allocation with transfer delay and mortality of ACS patients

From: Inequities in ambulance allocation associated with transfer delay and mortality in acute coronary syndrome patients: evidence from 89 emergency medical stations in China

 

Transfer delay

In-hospital mortality

OR

95% CI

P-value

OR

95% CI

P-value

Ambulance density a, b

0.79

(0.64, 0.97)

0.026

0.31

(0.14, 0.70)

0.005

Theil index c, d

1.09

(1.01, 1.10)

< 0.001

1.80

(1.15, 3.15)

0.009

  1. Transfer delay was defined as a binary variable by using a 120-minute as a cutting point
  2. aLogistic regression model was to measure the effect of ambulance density on transfer delay: Covariates for include district-level variables (regional geographic area, regional population density) and patient-level variables (age, gender, emergency risk level, Killip grade, heart rate);
  3. bLogistical regression model was to measure the effect of ambulance density on mortality: Covariates include district-level variables (regional population density), system-level variable (transfer delay time) and patient-level variables (age, gender, emergency risk level, Killip grade, heart rate)
  4. cLogistical regression model was to measure the effect of Theil index on transfer delay: Covariates include district-level variables (regional population density), system-level variable (transfer delay time) and patient-level variables (age, gender, emergency risk level, Killip grade, heart rate)
  5. dLogistical regression model was to measure the effect of Theil index on mortality: Covariates include district-level variables (regional population density), system-level variable (transfer delay time) and patient-level variables (age, gender, emergency risk level, Killip grade, heart rate)
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International Journal for Equity in Health

ISSN: 1475-9276

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