Nopphol Witvorapong 1 , Kolo Yaro Yakubu 2 . Show Affiliations »
Abstract
OBJECTIVE: To evaluate the effectiveness of a program of antimalarial interventions implemented in 2010-2013 in Niger State, Nigeria. DATA SOURCES: Utilization reports from 99 intervention and 51 non-intervention health facilities from the Niger State Malaria Elimination Program, supplemented by data on facility-level characteristics from the Niger State Primary Health Care Development Agency and Local Government Malaria Control units. STUDY DESIGN: Estimated with mixed-effects negative binomial modeling, a difference-in-differences method was used to quantify the impact of the program on the number of febrile illness cases and confirmed malaria cases. Potential confounding factors, non-stationarity, seasonality, and autocorrelation were explicitly accounted for. DATA EXTRACTION METHODS: Data were retrieved from hard copies of utilization reports and manually inputted to create a panel of 5550 facility-month observations. PRINCIPAL FINDINGS: The program was implemented in two phases. The first phase (August 2010-June 2012) involved the provision of free artemisinin-based combination therapies, long-lasting insecticidal nets, and intermittent preventive treatments. In the second phase (July 2012-March 2013), the program introduced an additional intervention: free parasite-based rapid diagnostic tests. Compared to the pre-intervention period, the average number of monthly febrile illness and malaria cases increased by 20.876 (P < 0.01) and 22.835 (P < 0.01) in the first phase, and by 19.007 (P < 0.05) and 19.681 (P < 0.05) in the second phase, respectively. The results are consistent across different evaluation methods. CONCLUSIONS: This study suggests that user-fee removal leads to increased utilization of antimalarial services. It motivates future studies to cautiously select their investigative methods. © Health Research and Educational Trust.
OBJECTIVE: To evaluate the effectiveness of a program of antimalarial interventions implemented in 2010-2013 in Niger State, Nigeria. DATA SOURCES: Utilization reports from 99 intervention and 51 non-intervention health facilities from the Niger State Malaria Elimination Program, supplemented by data on facility-level characteristics from the Niger State Primary Health Care Development Agency and Local Government Malaria Control units. STUDY DESIGN: Estimated with mixed-effects negative binomial modeling, a difference-in-differences method was used to quantify the impact of the program on the number of febrile illness cases and confirmed malaria cases. Potential confounding factors, non-stationarity, seasonality, and autocorrelation were explicitly accounted for. DATA EXTRACTION METHODS: Data were retrieved from hard copies of utilization reports and manually inputted to create a panel of 5550 facility-month observations. PRINCIPAL FINDINGS: The program was implemented in two phases. The first phase (August 2010-June 2012) involved the provision of free artemisinin -based combination therapies, long-lasting insecticidal nets, and intermittent preventive treatments. In the second phase (July 2012-March 2013), the program introduced an additional intervention: free parasite-based rapid diagnostic tests. Compared to the pre-intervention period, the average number of monthly febrile illness and malaria cases increased by 20.876 (P < 0.01) and 22.835 (P < 0.01) in the first phase, and by 19.007 (P < 0.05) and 19.681 (P < 0.05) in the second phase, respectively. The results are consistent across different evaluation methods. CONCLUSIONS: This study suggests that user-fee removal leads to increased utilization of antimalarial services. It motivates future studies to cautiously select their investigative methods. © Health Research and Educational Trust.
Entities: Chemical
Disease
Keywords:
Nigeria; difference-in-differences; malaria
Mesh: See more »
Substances: See more »
Year: 2019
PMID: 30740696 PMCID: PMC6505411 DOI: 10.1111/1475-6773.13122
Source DB: PubMed Journal: Health Serv Res ISSN: 0017-9124 Impact factor: 3.402