Effects of Results Based Financing Models on Data Quality Improvement in Benin on 2014

Lamidhi Salami,Benjamin Fayomi,Edgard-Marius Dona Ouendo

doi:10.13189/ujph.2016.040605

Abstract

The performances generated by results based financing (RBF) raise questions about the quality of data used to measure them. This study was carried out to evaluate the RBF contribution to the quality improvement of maternal and child health data. Sixty seven health facilities are sampled randomly in three strata (RBF_PRPSS, RBF_PASS, No_ RBF) gathering health zones in Benin. The strata comparison with maternal and child health data for the first halves 2014 and 2011 revealed that timeliness and completeness have improved in the strata exposed to results based financing compared to unexposed (p <0.05). Compared to No_RBF stratum, accuracy deteriorated in RBF_PRPSS stratum, with a 52% decrease in the proportion of concordance reports between 2011 and 2014. In 2014, recorded discrepancies are largely under-reported in the RBF_PRPSS stratum, and over-reported in RBF_PASS stratum. The accuracy of National Health Information and Management System (SNIGS) data compared to RBF's validated data was low, verification factors varying between 30% and 97%. In total, the data quality was globally poor in most areas in Benin and it is not improved by the results based financing models implemented between 2011 and 2014. There is a need to target data quality in RBF models and to use SNIGS as a unique system of reporting.

Highlights

Health statistics are vital in the implementation of interventions to improve health [1]
In order to increase the performance of the health system, including use and quality of health services, many countries opt for results-based financing (RBF) [4]
In the 67 selected health facilities in the health zones of the three strata, 124,199 maternal and child health (MCH) uses were reported for the period of the study in the SNIGS database of zone offices

Summary

Introduction

Health statistics are vital in the implementation of interventions to improve health [1]. In order to increase the performance of the health system, including use and quality of health services, many countries opt for results-based financing (RBF) [4]. The RBF is a contractual approach in which the health care and service providers receive funders' resources proportionally to their services to the population [4]. This funding model has contributed to the increasing facility-based delivery rate, uptake of family planning, and preventive consultation of children in the first four weeks of life [5, 6]. The RBF emphasizes a heavy use of data to calculate performance and RBF incentives for health facilities [4]

Methods

Results

Conclusion