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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