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Table 4 Major influencing factors on health service utilization in project areas

From: The impact of different benefit packages of Medical Financial Assistance Scheme on health service utilization of poor population in Rural China

Factors Physician visits※
(n = 190)
Hospitalizations※
(n = 1494)
  OR
(CI, 95%)
P OR (CI, 95%) P
Type of benefit package (H8/H8SP) 1. 2 (0.8, 1.8) 0.338 0.7 (0.5, 1.0) 0.048
Gender (male/female) 0.8 ( 0.5, 13) 0.476 1.1 (0.7, 1.6) 0.619
Marital status
(married/widowed+ divorced)
1.2 ( 0.6, 2.2) 0.561 0.8 (0.5, 1.4) 0.458
Marital status
(unmarried/widowed+divorced)
0.9 (0.4, 2.0) 0.857 0.5 (0.2, 1.1) 0.079
Age yr
(15-39.9/60+)
1.1 (0.6, 2.1) 0.803 1.5 (0.9, 2.7) 0.138
Age yr (40-59.9/60+) 1.5 ( 0.9, 2.7) 0.151 1.5 (1.0, 2.4) 0.061
Education (Illiterate/junior high school+) 0.6 (0.2, 1.6) 0.321 1.0 (0.5, 1.8) 0.904
Education (Primary school/junior high school+) 0.7 (0.3, 1.8) 0.519 0.9 (0.5, 1.6) 0.720
Disability status (presence/absence) 0.8 (0.5, 1.2) 0.259 1.0 (0.7, 1.6) 0.837
Economic status (Extremely poor/relatively poor) 0.6 (0.4, 0.9) 0.017 1.2 (0.8, 1.8) 0.377
Distance to medical centre (≤3 km/>3 km) 1.5 (0.9, 2.2) 0.087 1.0 (0.7, 1.5) 0.953
Awareness of MFA detailed package (Yes/no) 1.2 (0.7, 2.6) 0.487 1.7 (1.1, 2.8) 0.021
Presence of Illness in last 2 weeks (presence/absence) -- -- 1.4 (0.9, 2.1) 0.119
Presence of chronic disease (Presence/absence) 1.0 (0.6, 1.4) 0.852 3.7 (2.4, 5.7) 0.000
  1. ※:Binominal regression with log-link model was fitted using PROC GENMOD
  2. Odds ratio in the table was adjusted for the other remaining independent variables