Skip to main content

Table 5 Adjusted predictions of time to the hospital and hospital grade on inpatient services utilization

From: Does inpatient health services utilization vary by remoteness in the medical financial assistance population? Evidence from Shaanxi province, China

 

Length of the latest inpatient stay

Total inpatient expenditure

OOP inpatient expenditure

Secondary hospital

Change b

Tertiary hospital

Change c

Secondary hospital

Change b

Tertiary hospital

Change c

Secondary hospital

Change b

Tertiary hospital

Change c

The shorter VS The shortest a

9.035***

6.082

2.190*

−0.763

− 2167.083*

471.316

− 4735.390*

− 2096.991

−669.237

224.112

− 1790.303*

− 896.954

(2.851)

(1.323)

(1126.240)

(2429.113)

(430.866)

(928.279)

The medium VS The shortest a

11.769†

6.529

3.336

−1.904

− 2717.816

714.851

− 5021.475**

− 1588.808

− 1121.277

−138.080

− 1416.147

−432.950

(2.753)

(2.145)

(1829.125)

(2347.076)

(697.477)

(895.836)

The longer VS The shortest a

11.581†

6.352

1.200

−4.029

− 3991.857*

303.103

− 6073.508**

− 1778.548

− 1029.193

354.719

− 1992.204**

− 608.292

(2.795)

(2.685)

(2288.859)

(2383.709)

(873.423)

(909.174)

The longest VS The shortest a

13.510†

6.106

10.269*

2.865

− 3320.336

− 447.266

− 3890.883

− 1017.813

− 1906.771

− 1063.232

− 1148.885

− 305.346

(2.859)

(5.947)

(5071.255)

(2442.227)

(1934.536)

(928.394)

  1. Notes: a The Baseline. * p < 0.1, ** p < 0.05, *** p < 0.01, † p < 0.001
  2. b The change in coefficients when admitted to secondary hospital after moderation of hospital grade introduced; c The change in coefficients when admitted to tertiary hospital after moderation of hospital grade introduced
  3. OOP out-of-pocket