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The impact of government free health insurance for children in Vietnam Ha Nguyen, Ph.D. Abt Associates Inc. Montreux November 16, 2010.

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Presentation on theme: "The impact of government free health insurance for children in Vietnam Ha Nguyen, Ph.D. Abt Associates Inc. Montreux November 16, 2010."— Presentation transcript:

1 The impact of government free health insurance for children in Vietnam Ha Nguyen, Ph.D. Abt Associates Inc. Montreux November 16, 2010

2 2 Background Widespread adoption and expansion of social health insurance in many developing countries. Growing body of literature evaluating impact of health insurance on service utilization, out-of-pocket expenditure, and other outcomes. Limited evidence on insurances impact specifically among small children.

3 3 Rationale for assessing insurances effects among children Children are among vulnerable groups. Investing in children is likely to bring about positive externality and long term impact. want to see tax payers money benefit children Children may have different (cross) price elasticity and preferences. want to design programs appropriately to respond to childrens need and preferences

4 4 Objectives To evaluate the Vietnamese governments Policy on Free Care for Children under 6 on: 1. Health service utilization 2. OOP expenditure 3. Intermediate health status

5 5 The Free Care for Children under 6 Policy (FCCU6) Adopted according to 2004 Law on Protection, Care, and Education of Children, became effective in 2005. Covers all services in the public sector (generic drugs approved by Ministry of Health). Requires adherence to official referral system for full reimbursement. Covered 11% of population (22% of the insured) and accounted for 9% of government budget for health in 2005.

6 6 The impact evaluation study Difference-in-differences design using Vietnam Living Standard Surveys pseudo panel: 2004: 2990 observations 2006: 2505 observations Outcomes: In- and out-patient care OOP expenditure Catastrophic OOP payment (>20% non-food consumption) Number of sick days Covariates: Child characteristics Household SES Exclude children from poor households (already eligible for a different program) Age0 – 56 – 7 2004TreatedControl 2006TreatedControl

7 7 Sample description: Insurance coverage by type and age group

8 8 Results 1. FCCU6s effect on service utilization among age group 0 - 3 Service utilization Baseline meanFCCU6 effect Number of outpatient contact in public sector Commune clinic0.598-0.050 Secondary hospital0.1250.105** Tertiary hospital0.277-0.082 Number of inpatient admission in public sector Commune clinic0.019-0.006 Secondary hospital0.0400.020*** Tertiary hospital0.0420.003 Number of outpatient contact in private sector Clinic0.8430.137 ** p<0.05; *** p<0.01

9 9 Results 2. FCCU6s effect on service utilization among age group 4 - 5 Service utilization Baseline mean FCCU6 effect Number of outpatient contact in public sector Commune clinic0.3230.025 Secondary hospital0.0860.139 Tertiary hospital0.204-0.188* Number of inpatient admission in public sector Commune clinic0.0070.003 Secondary hospital0.0150.032*** Tertiary hospital0.034-0.032** Number of outpatient contact in private sector Clinic0.6230.240 * p<0.10; ** p<0.05; *** p<0.01

10 10 Results 3. FCCU6s effect on OOP expenditure and number of sick days Baseline meanFCCU6 effect Age group 0 - 3 Amount of OOP expenditure (US$)8.45-1.23 Catastrophic OOP expenditure (%)3.5- 0.009 Number of sick days2.940.015 Age group 4 - 5 Amount of OOP expenditure (US$)5.74-4.13** Catastrophic OOP expenditure (%)2.7-0.017*** Number of sick days3.06-0.81* *p<0.10; ** p<0.05; *** p<0.01

11 11 Main conclusions FCCU6 has not resulted in consistent increase in service utilization of all public services. Rather, there was a substitution between different levels of public providers (from commune clinic to hospital; from tertiary to secondary hospital). No significant effect on the use of private services. Reduction in OOP payment, incidence of high payment, and number of sick days were experienced among older children (ages 4-5).

12 12 Notes on study findings Small number of observation limits the ability to detect statistically significant results. Impact is measured one year into implementation, so may not have been fully materialized. Impact is measured among children from households not eligible for Insurance for the Poor program, i.e., not the most disadvantaged population.

13 13 Implications Insurance may not necessarily lead to increase in overall volume of service, but to better quality service. Insurance can improve efficiency by strengthening referral system. Insurance can bring about positive externality by saving days parents take care of sick children. Government insurance program should be responsive to childrens preference for private services. Improving quality of care in the commune clinics will help reducing time and monetary cost of travel for care givers.

14 14 Thank you


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