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Modelling the household cost of paediatric malaria treatment in a rural county in Kenya: do non-user fee payments matter? A partial cost of illness analysis

OBJECTIVE: The objective of this study was to develop an econometric model for the cost of treatment of paediatric malaria from a patient perspective in a resource scarce rural setting of Homa Bay County, Kenya. We sought to investigate the main contributors as well as the contribution of non-user f...

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Autores principales: Kodhiambo, Maurice Onditi, Oyugi, Julius Otieno, Amugune, Beatrice Kagai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7103840/
https://www.ncbi.nlm.nih.gov/pubmed/32205372
http://dx.doi.org/10.1136/bmjopen-2019-033192
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author Kodhiambo, Maurice Onditi
Oyugi, Julius Otieno
Amugune, Beatrice Kagai
author_facet Kodhiambo, Maurice Onditi
Oyugi, Julius Otieno
Amugune, Beatrice Kagai
author_sort Kodhiambo, Maurice Onditi
collection PubMed
description OBJECTIVE: The objective of this study was to develop an econometric model for the cost of treatment of paediatric malaria from a patient perspective in a resource scarce rural setting of Homa Bay County, Kenya. We sought to investigate the main contributors as well as the contribution of non-user fee payments to the total household cost of care. Costs were measured from a patient perspective. DESIGN: The study was conducted as a health facility based cross sectional survey targeting paediatric patients. SETTING: The study was conducted in 13 health facilities ranging from level II to level V in Homa Bay County which is in the Eastern shores of Lake Victoria, Kenya. This is a malaria endemic area. PARTICIPANTS: We enrolled 254 inpatient children (139 males and 115 females) all of whom participated up to the end of this study. PRIMARY OUTCOME MEASURE: The primary outcome measure was the cost of pediatric malaria care borne by the patient. This was measured by asking exiting caregivers to estimate the cost of various items contributing to their total expenditure on care seeking. RESULTS: A total of 254 respondents who consented from 13 public government health facilities were interviewed. Age, number of days spent at the health facility, being treated at a level V facility, medical officer prescribing and seeking initial treatment from a retail shop were found significant predictors of cost. CONCLUSION: Higher level health facilities in Homa Bay County, where the more specialised medical workers are stationed, are more costly hence barring the poorest from obtaining quality paediatric malaria care from here. Waiving user fees alone may not be sufficient to guarantee access to care by patients due to unofficial fees and non-user fees expenditures.
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spelling pubmed-71038402020-03-31 Modelling the household cost of paediatric malaria treatment in a rural county in Kenya: do non-user fee payments matter? A partial cost of illness analysis Kodhiambo, Maurice Onditi Oyugi, Julius Otieno Amugune, Beatrice Kagai BMJ Open Health Economics OBJECTIVE: The objective of this study was to develop an econometric model for the cost of treatment of paediatric malaria from a patient perspective in a resource scarce rural setting of Homa Bay County, Kenya. We sought to investigate the main contributors as well as the contribution of non-user fee payments to the total household cost of care. Costs were measured from a patient perspective. DESIGN: The study was conducted as a health facility based cross sectional survey targeting paediatric patients. SETTING: The study was conducted in 13 health facilities ranging from level II to level V in Homa Bay County which is in the Eastern shores of Lake Victoria, Kenya. This is a malaria endemic area. PARTICIPANTS: We enrolled 254 inpatient children (139 males and 115 females) all of whom participated up to the end of this study. PRIMARY OUTCOME MEASURE: The primary outcome measure was the cost of pediatric malaria care borne by the patient. This was measured by asking exiting caregivers to estimate the cost of various items contributing to their total expenditure on care seeking. RESULTS: A total of 254 respondents who consented from 13 public government health facilities were interviewed. Age, number of days spent at the health facility, being treated at a level V facility, medical officer prescribing and seeking initial treatment from a retail shop were found significant predictors of cost. CONCLUSION: Higher level health facilities in Homa Bay County, where the more specialised medical workers are stationed, are more costly hence barring the poorest from obtaining quality paediatric malaria care from here. Waiving user fees alone may not be sufficient to guarantee access to care by patients due to unofficial fees and non-user fees expenditures. BMJ Publishing Group 2020-03-23 /pmc/articles/PMC7103840/ /pubmed/32205372 http://dx.doi.org/10.1136/bmjopen-2019-033192 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://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/.
spellingShingle Health Economics
Kodhiambo, Maurice Onditi
Oyugi, Julius Otieno
Amugune, Beatrice Kagai
Modelling the household cost of paediatric malaria treatment in a rural county in Kenya: do non-user fee payments matter? A partial cost of illness analysis
title Modelling the household cost of paediatric malaria treatment in a rural county in Kenya: do non-user fee payments matter? A partial cost of illness analysis
title_full Modelling the household cost of paediatric malaria treatment in a rural county in Kenya: do non-user fee payments matter? A partial cost of illness analysis
title_fullStr Modelling the household cost of paediatric malaria treatment in a rural county in Kenya: do non-user fee payments matter? A partial cost of illness analysis
title_full_unstemmed Modelling the household cost of paediatric malaria treatment in a rural county in Kenya: do non-user fee payments matter? A partial cost of illness analysis
title_short Modelling the household cost of paediatric malaria treatment in a rural county in Kenya: do non-user fee payments matter? A partial cost of illness analysis
title_sort modelling the household cost of paediatric malaria treatment in a rural county in kenya: do non-user fee payments matter? a partial cost of illness analysis
topic Health Economics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7103840/
https://www.ncbi.nlm.nih.gov/pubmed/32205372
http://dx.doi.org/10.1136/bmjopen-2019-033192
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