Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/8077
Title: How do malaria testing and treatment subsidies affect drug shop client expenditures? A cross-sectional analysis in Western Kenya
Authors: Saran, Indrani
Laktaba, Jeremiah
Menya, Diana
Woolsey, Aaron
Louise Turner, Elizabeth
Visser, Theodoor Visser
Prudhomme O'Meara, Wendy
Keywords: Drug shop clients
Malaria diagnostic testing
Malaria treatment
Issue Date: 15-Nov-2022
Publisher: Bmj
Abstract: Objectives To examine how drug shop clients’ expenditures are affected by subsidies for malaria diagnostic testing and for malaria treatment, and also to examine how expenditures vary by clients’ malaria test result and by the number of medications they purchased. Design Secondary cross-sectional analysis of survey responses from a randomised controlled trial. Setting The study was conducted in twelve private drug shops in Western Kenya. Participants We surveyed 836 clients who visited the drug shops between March 2018 and October 2019 for a malaria-like illness. This included children >1 year of age if they were physically present and accompanied by a parent or legal guardian. Interventions Subsidies for malaria diagnostic testing and for malaria treatment (conditional on a positive malaria test result). Primary and secondary outcome measures Expenditures at the drug shop in Kenya shillings (Ksh). Results Clients who were randomised to a 50% subsidy for malaria rapid diagnostic tests (RDTs) spent approximately Ksh23 less than those who were randomised to no RDT subsidy (95% CI (−34.6 to −10.7), p=0.002), which corresponds approximately to the value of the subsidy (Ksh20). However, clients randomised to receive free treatment (artemisinin combination therapies (ACTs)) if they tested positive for malaria had similar spending levels as those randomised to a 67% ACT subsidy conditional on a positive test. Expenditures were also similar by test result, however, those who tested positive for malaria bought more medications than those who tested negative for malaria while spending approximately Ksh15 less per medication (95% CI (−34.7 to 3.6), p=0.102). Conclusions Our results suggest that subsidies for diagnostic health products may result in larger household savings than subsidies on curative health products. A better understanding of how people adjust their behaviours and expenditures in response to subsidies could improve the design and implementation of subsidies for health products.
URI: http://ir.mu.ac.ke:8080/jspui/handle/123456789/8077
Appears in Collections:School of Medicine

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