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Table 3 DID estimation on frequencies of medical services utilization

From: Improving the performance of social health insurance system through increasing outpatient expenditure reimbursement ratio: a quasi-experimental evaluation study from rural China

Outcome variable (y)

Baseline (1673 vs. 1673)

Follow-up (1673 vs. 1673)

Control

\( \left({\widehat{\upbeta}}_0\right) \)

Intervention

\( \left({\widehat{\upbeta}}_0+\widehat{\gamma}\right) \)

Diff (BL)

\( \left(\widehat{\gamma}\right) \)

Control

\( \left({\widehat{\upbeta}}_0+{\widehat{\upbeta}}_1\right) \)

Intervention

\( \left({\widehat{\upbeta}}_0+{\widehat{\upbeta}}_1+\widehat{\gamma}+\widehat{\updelta}\right) \)

Diff (FU)

\( \left({\widehat{\gamma}}_0+\widehat{\updelta}\right) \)

DIFF-IN-DIFF

\( \left(\widehat{\updelta}\right) \)

Outpatient

4.180

4.072

−0.108

4.161

7.353

3.192

3.3

P

  

0.115

  

0.041

0.008

Inpatient

0.063

0.125

0.062

0.087

0.074

−0.013

−0.075

P

  

0.000

  

0.095

0.000

Total medical services

4.243

4.197

−0.046

4.248

7.427

3.179

3.225

P

  

0.862

  

0.003

0.001