Skip to main content

Advertisement

Table 4 Probability of hospitalisation under Community-Based Health Insurance (CBHI) and National Health Insurance (NHI) schemes

From: The impact of National Health Insurance upon accessibility of health services and financial protection from catastrophic health expenditure: a case study of Savannakhet province, the Lao People’s Democratic Republic

Independent variable (Andersen’s Behavioral Model)Binary logistic regression model 1: Probability of hospitalisation
CBHINHI
2013 (controlling insurance status)20132016 (controlling insurance status)20162018
Nagelkerke R2
0.076
Nagelkerke R2
0.069
Nagelkerke R2
0.097
Nagelkerke R2
0.076
Nagelkerke R2
0.248
ORP valueORP valueORP valueORP valueORP value
Predisposing factors
 Gender
  Male          
  Female1.4720.2001.4510.1510.6980.1570.7120.1600.8820.815
 Age
  18–35          
  36–490.6600.3120.6740.3450.8870.6810.9650.7981.5240.357
  50 or above0.8350.6730.8000.7120.7970.4850.9000.59820.648
 Marital status
  Single          
  Married0.9130.8630.9010.8211.2600.3481.4300.5693.6100.050*
 Educational status          
 Never attended school
  Primary school0.6430.3100.6790.3870.7070.2580.8760.4681.3710.150
  Lower secondary school or higher1.1810.7051.2350.7540.9930.9831.0760.9003.2050.188
 Size of household
  Small (1–4 people)
Large (more than 5 people)0.9070.7610.9020.7521.2830.3241.3760.4535.1280.02*
Enabling factors
 Income level
  Less than 1 million LAK (US$120)          
  1 million (US$120) to 2.5 million LAK (US$300)0.6120.1500.6430.1700.6640.1940.7430.3480.5160.037*
  2.5 million LAK (US$300) or more0.4830.0880.4210.0761.0650.8341.3270.8980.1350.08
 Insurance status
  No – Uninsured          
  Yes – Insured1.4550.231  1.8030.021*    
Need factors
 Chronic condition          
  No          
  Yes1.7860.057*1.7960.0652.3260.003*2.4590.005*0.9600.935
  1. * Statistically significant at 95% confidence interval