Skip to main content

Table 5 Description of dependent variables, need variables and control variables in negative binomial models (mean/percent)

From: The effects of China’s urban basic medical insurance schemes on the equity of health service utilisation: evidence from Shaanxi Province

  UEBMI URBMI
  Insured Uninsured Insured Uninsured
Dependent variable     
 Outpatient visit rate (%) 13.02 7.69 12.74 7.93
 Inpatient visit rate (%) 6.11 5.52 4.68 2.99
Need variables     
 Female 47.3 50.5 58.5 58.5
 45-59 34.1 36.7 23.5 23.0
 60+ 16.8 15.0 16.4 16.5
 Health status 79.2 80.2 81.5 81.9
 Illness 12.9 12.8 12.3 10.2
 Chronic disease 16.6 17.0 18.7 16.0
Control variables     
 Annual personal expenditure 7192 7322 6840 7026
 Married 82.6 81.9 63.5 61.5
 Other married status 8.5 8.3 10.8 11.6
 Commercial health insurance 5.1 4.3 4.7 4.0
 Household population 3.5 3.6 3.5 3.5
 Distance to the nearest health institution 10.0 8.8 9.8 9.5