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Table 2 Test of the balance of characteristics of migrant and non-migrant patients with CKD after PSM estimation

From: Cost-effectiveness of medical migration for chronic kidney disease: a national cross-sectional study in China

 

Mean

T-test

Variable

Migrant

Non-migrant

T-statistics

P-value

Demographics

 Male

0.563

0.563

0.190

0.848

 Age ≤ 40 y

0.296

0.295

0.840

0.398

 40 y < Age ≤ 60 y

0.458

0.459

−0.380

0.702

 60 y < Age ≤ 80 y

0.234

0.234

− 0.620

0.537

Health insurance types

 UBMI

0.220

0.221

−0.550

0.584

 NRCMC

0.288

0.288

−0.020

0.982

 Commercial insurance

0.217

0.217

−0.190

0.847

 Self-payment

0.268

0.269

−0.690

0.491

Common comorbidities

 Hypertension

0.432

0.432

−0.230

0.819

 Diabetes

0.173

0.173

−0.210

0.832

 CVD

0.123

0.122

1.550

0.120

  1. Propensity score matching method was used to construct the matched sample of the migrant group (trans-provincial migrant patients) and non-migrant group (non-migrant patients). The logistic model was used to estimate the propensity score based on the patient’s demographics, health insurance, major comorbidities, province dummies, and year dummies. The nearest neighbor algorithm was used with a caliper of 0.1. The sample was further restricted to have common support and had scores strictly between 0.1 and 0.9
  2. Abbreviations: CVD Cardiovascular disease, PSM Propensity score matching, UBMI Urban basic medical insurance, NRCMC New rural co-operative medical care
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BMC Health Services Research

ISSN: 1472-6963

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