Table 1. Independent variables and coding for regression modeling.
Variable | Characteristic | Coding |
---|---|---|
Sex | ||
Female | 0 | |
Male | 1 | |
Age | ||
60 years and older | 0 | |
Below 15 years | 1 | |
15–29 years | 1 | |
30–44 years | 1 | |
45–59 years | 1 | |
Marital Status | ||
Married | 1 | |
Others | 0 | |
Residential location | ||
Rural | 1 | |
Urban | 0 | |
Level of education | ||
College or above | 0 | |
Senior high school | 1 | |
Junior high school | 1 | |
Primary school | 1 | |
None | 1 | |
Employment status | ||
Unemployed | 0 | |
Employed | 1 | |
Retired and student | 1 | |
Annual household income quintile a | ||
1 | 0 | |
2 | 1 | |
3 | 1 | |
4 | 1 | |
5 | 1 | |
Hospital expenditure quintile b | ||
1 | 0 | |
2 | 1 | |
3 | 1 | |
4 | 1 | |
5 | 1 | |
Insurance | ||
Medical Insurance for Urban Employees (MIUE) | 0 | |
Medical Insurance for Urban Residents (MIUR) | 1 | |
New Cooperative Medical Scheme (NCMS) | 1 | |
Others | 1 | |
Waiting time | ||
On/above average | 0 | |
Below average | 1 | |
Level of Trust | ||
Distrust | 0 | |
Trust | 1 | |
Service attitudes of health workers | ||
Poor | 0 | |
Good | 1 | |
Ward environment | ||
Poor | 0 | |
Good | 1 | |
Disease | ||
Cardiovascular | 1 | |
Respiratory | 1 | |
Digestive | 1 | |
Injury and poisoning | 1 | |
Maternal and obstetrics | 1 | |
Others | 0 |
a Quintile 1 is the poorest and quintile 5 the wealthiest
b Quintile 1 is the lowest and quintile 5 the highest