Do Out-of-Pocket Payments for Care for Children under 5 Persist Even in a Context of Free Healthcare in Burkina Faso? Evidence from a Cross-Sectional Population-Based Survey

BACKGROUND

In April 2016, Burkina Faso began free healthcare for children aged from 0 to 5 years. However, its implementation faces challenges, and the goal of this study is to estimate the fees paid for this child care and to determine the causes of these direct payments.

METHODS

Data gathering involved 807 children aged from 0 to 5 years who had contact with the public healthcare system. The estimation of the determinants of out-of-pocket health payments involved the application of a two-part regression model.

RESULTS

About 31% of the children made out-of-pocket payments for healthcare (an average of 3407.77 CFA francs per case of illness). Of these, 96% paid for medicines and 24% paid for consultations. The first model showed that out-of-pocket payments were positively associated with hospitalization, urban area of residence, and severity of illness, were made in the East-Central and North-Central regions, and were negatively associated with the 7 to 23 month age range. The second model showed that hospitalization and severity of illness increased the amount of direct health payments.

CONCLUSION

Children targeted by free healthcare still make out-of-pocket payments. The dysfunction of this policy needs to be studied to ensure adequate financial protection for children in Burkina Faso.

Supply-side contribution to the lack of PBF impact on unmet need for family planning in Burkina Faso

Background

In 2020, about one in four women in Burkina Faso faced an unmet need for family planning (FP). Between 2013 and 2017, Burkina Faso implemented a performance-based financing (PBF) program to improve primary health care service provision (including FP) at rural health centers. Our prior work revealed that PBF did not lead to a reduction in unmet need for FP, in spite of FP being an explicitly targeted service. Our current study assesses supply-side factors that have likely contributed towards this lack of effect at population level, by examining changes in facility-based indicators relevant to the provision of FP induced by PBF.

Methods

We used facility-based survey data from 406 PBF and 117 control facilities collected before and after the PBF implementation. To compare changes in FP service provision, we examined changes in a number of relevant indicators including: a. the types of FP methods offered by facilities; b. trainings received by different FP providers; and c. available stocks of modern contraceptives. We relied on a difference-in-differences (DID) regression model to estimate the impact of PBF on these indicators.

Results

We observed a significant positive impact on the number of staff qualified to provide injectables, implants and IUDs (effect size 0.47, p 0.003) as well as the number of facilities offering IUDs (effect size 0.28, p 0.016) and a significant reduction in the number of facilities experiencing stock-outs of female condoms (effect size -0.09, p 0.007) and implants (effect size -0.03, p 0.042).

Conclusions

Given the significant positive impacts on the number of qualified staff, facilities providing IUDs and a reduction in stock-outs of female condoms and implants attributable to the PBF intervention without showing signs of negative effects on the indicators measured supply-side factors might not have been the main reason for the lack of effect of the PBF program on unmet need for FP.

Key messages

• Supply-side factors might not have been the main reason for the lack of effect of the PBF program on unmet need for FP.

• Further research is needed to explore other potential underlying reasons.

Developing attributes and attribute-levels for a discrete choice experiment on micro health insurance in rural Malawi

Background

Discrete choice experiments (DCEs) are attribute-driven experimental techniques used to elicit stakeholders’ preferences to support the design and implementation of policy interventions. The validity of a DCE, therefore, depends on the appropriate specification of the attributes and their levels. There have been recent calls for greater rigor in implementing and reporting on the processes of developing attributes and attribute-levels for discrete choice experiments (DCEs). This paper responds to such calls by carefully reporting a systematic process of developing micro health insurance attributes and attribute-levels for the design of a DCE in rural Malawi.

Methods

Conceptual attributes and attribute-levels were initially derived from a literature review which informed the design of qualitative data collection tools to identify context specific attributes and attribute-levels. Qualitative data was collected in August-September 2012 from 12 focus group discussions with community residents and 8 in-depth interviews with health workers. All participants were selected according to stratified purposive sampling. The material was tape-recorded, fully transcribed, and coded by three researchers to identify context-specific attributes and attribute-levels. Expert opinion was used to scale down the attributes and levels. A pilot study confirmed the appropriateness of the selected attributes and levels for a DCE.

Results

First, a consensus, emerging from an individual level analysis of the qualitative transcripts, identified 10 candidate attributes. Levels were assigned to all attributes based on data from transcripts and knowledge of the Malawian context, derived from literature. Second, through further discussions with experts, four attributes were discarded based on multiple criteria. The 6 remaining attributes were: premium level, unit of enrollment, management structure, health service benefit package, transportation coverage and copayment levels. A final step of revision and piloting confirmed that the retained attributes satisfied the credibility criteria of DCE attributes.

Conclusion

This detailed description makes our attribute development process transparent, and provides the reader with a basis to assess the rigor of this stage of constructing the DCE. This paper contributes empirical evidence to the limited methodological literature on attributes and levels development for DCE, thereby providing further empirical guidance on the matter, specifically within rural communities of low- and middle-income countries.