Cargando…

How do malaria testing and treatment subsidies affect drug shop client expenditures? A cross-sectional analysis in Western Kenya

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Saran, Indrani, Laktabai, Jeremiah, Menya, Diana, Woolsey, Aaron, Turner, Elizabeth Louise, Visser, Theodoor, O'Meara, Wendy Prudhomme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730383/
https://www.ncbi.nlm.nih.gov/pubmed/36600353
http://dx.doi.org/10.1136/bmjopen-2022-066814
_version_ 1784845657395167232
author Saran, Indrani
Laktabai, Jeremiah
Menya, Diana
Woolsey, Aaron
Turner, Elizabeth Louise
Visser, Theodoor
O'Meara, Wendy Prudhomme
author_facet Saran, Indrani
Laktabai, Jeremiah
Menya, Diana
Woolsey, Aaron
Turner, Elizabeth Louise
Visser, Theodoor
O'Meara, Wendy Prudhomme
author_sort Saran, Indrani
collection PubMed
description 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. TRIAL REGISTRATION NUMBER: NCT03810014.
format Online
Article
Text
id pubmed-9730383
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-97303832022-12-09 How do malaria testing and treatment subsidies affect drug shop client expenditures? A cross-sectional analysis in Western Kenya Saran, Indrani Laktabai, Jeremiah Menya, Diana Woolsey, Aaron Turner, Elizabeth Louise Visser, Theodoor O'Meara, Wendy Prudhomme BMJ Open Global Health 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. TRIAL REGISTRATION NUMBER: NCT03810014. BMJ Publishing Group 2022-12-06 /pmc/articles/PMC9730383/ /pubmed/36600353 http://dx.doi.org/10.1136/bmjopen-2022-066814 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Global Health
Saran, Indrani
Laktabai, Jeremiah
Menya, Diana
Woolsey, Aaron
Turner, Elizabeth Louise
Visser, Theodoor
O'Meara, Wendy Prudhomme
How do malaria testing and treatment subsidies affect drug shop client expenditures? A cross-sectional analysis in Western Kenya
title How do malaria testing and treatment subsidies affect drug shop client expenditures? A cross-sectional analysis in Western Kenya
title_full How do malaria testing and treatment subsidies affect drug shop client expenditures? A cross-sectional analysis in Western Kenya
title_fullStr How do malaria testing and treatment subsidies affect drug shop client expenditures? A cross-sectional analysis in Western Kenya
title_full_unstemmed How do malaria testing and treatment subsidies affect drug shop client expenditures? A cross-sectional analysis in Western Kenya
title_short How do malaria testing and treatment subsidies affect drug shop client expenditures? A cross-sectional analysis in Western Kenya
title_sort how do malaria testing and treatment subsidies affect drug shop client expenditures? a cross-sectional analysis in western kenya
topic Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730383/
https://www.ncbi.nlm.nih.gov/pubmed/36600353
http://dx.doi.org/10.1136/bmjopen-2022-066814
work_keys_str_mv AT saranindrani howdomalariatestingandtreatmentsubsidiesaffectdrugshopclientexpendituresacrosssectionalanalysisinwesternkenya
AT laktabaijeremiah howdomalariatestingandtreatmentsubsidiesaffectdrugshopclientexpendituresacrosssectionalanalysisinwesternkenya
AT menyadiana howdomalariatestingandtreatmentsubsidiesaffectdrugshopclientexpendituresacrosssectionalanalysisinwesternkenya
AT woolseyaaron howdomalariatestingandtreatmentsubsidiesaffectdrugshopclientexpendituresacrosssectionalanalysisinwesternkenya
AT turnerelizabethlouise howdomalariatestingandtreatmentsubsidiesaffectdrugshopclientexpendituresacrosssectionalanalysisinwesternkenya
AT vissertheodoor howdomalariatestingandtreatmentsubsidiesaffectdrugshopclientexpendituresacrosssectionalanalysisinwesternkenya
AT omearawendyprudhomme howdomalariatestingandtreatmentsubsidiesaffectdrugshopclientexpendituresacrosssectionalanalysisinwesternkenya