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Treatment-seeking rates in malaria endemic countries

BACKGROUND: The proportion of individuals who seek treatment for fever is an important quantity in understanding access to and use of health systems, as well as for interpreting data on disease incidence from routine surveillance systems. For many malaria endemic countries (MECs), treatment-seeking...

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Autores principales: Battle, Katherine E., Bisanzio, Donal, Gibson, Harry S., Bhatt, Samir, Cameron, Ewan, Weiss, Daniel J., Mappin, Bonnie, Dalrymple, Ursula, Howes, Rosalind E., Hay, Simon I., Gething, Peter W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709965/
https://www.ncbi.nlm.nih.gov/pubmed/26754795
http://dx.doi.org/10.1186/s12936-015-1048-x
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author Battle, Katherine E.
Bisanzio, Donal
Gibson, Harry S.
Bhatt, Samir
Cameron, Ewan
Weiss, Daniel J.
Mappin, Bonnie
Dalrymple, Ursula
Howes, Rosalind E.
Hay, Simon I.
Gething, Peter W.
author_facet Battle, Katherine E.
Bisanzio, Donal
Gibson, Harry S.
Bhatt, Samir
Cameron, Ewan
Weiss, Daniel J.
Mappin, Bonnie
Dalrymple, Ursula
Howes, Rosalind E.
Hay, Simon I.
Gething, Peter W.
author_sort Battle, Katherine E.
collection PubMed
description BACKGROUND: The proportion of individuals who seek treatment for fever is an important quantity in understanding access to and use of health systems, as well as for interpreting data on disease incidence from routine surveillance systems. For many malaria endemic countries (MECs), treatment-seeking information is available from national household surveys. The aim of this paper was to assemble sub-national estimates of treatment-seeking behaviours and to predict national treatment-seeking measures for all MECs lacking household survey data. METHODS: Data on treatment seeking for fever were obtained from Demographic and Health Surveys, Malaria Indicator Surveys and Multiple Cluster Indicator Surveys for every MEC and year that data were available. National-level social, economic and health-related variables were gathered from the World Bank as putative covariates of treatment-seeking rates. A generalized additive mixed model (GAMM) was used to estimate treatment-seeking behaviours for countries where survey data were unavailable. Two separate models were developed to predict the proportion of fever cases that would seek treatment at (1) a public health facility or (2) from any kind of treatment provider. RESULTS: Treatment-seeking data were available for 74 MECs and modelled for the remaining 24. GAMMs found that the percentage of pregnant women receiving prenatal care, vaccination rates, education level, government health expenditure, and GDP growth were important predictors for both categories of treatment-seeking outcomes. Treatment-seeking rates, which varied both within and among regions, revealed that public facilities were not always the primary facility type used. CONCLUSIONS: Estimates of treatment-seeking rates show how health services are utilized and help correct reported malaria case numbers to obtain more accurate measures of disease burden. The assembled and modelled data demonstrated that while treatment-seeking rates have overall increased over time, access remains low in some malaria endemic regions and utilization of government services is in some areas limited. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-1048-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-47099652016-01-13 Treatment-seeking rates in malaria endemic countries Battle, Katherine E. Bisanzio, Donal Gibson, Harry S. Bhatt, Samir Cameron, Ewan Weiss, Daniel J. Mappin, Bonnie Dalrymple, Ursula Howes, Rosalind E. Hay, Simon I. Gething, Peter W. Malar J Research BACKGROUND: The proportion of individuals who seek treatment for fever is an important quantity in understanding access to and use of health systems, as well as for interpreting data on disease incidence from routine surveillance systems. For many malaria endemic countries (MECs), treatment-seeking information is available from national household surveys. The aim of this paper was to assemble sub-national estimates of treatment-seeking behaviours and to predict national treatment-seeking measures for all MECs lacking household survey data. METHODS: Data on treatment seeking for fever were obtained from Demographic and Health Surveys, Malaria Indicator Surveys and Multiple Cluster Indicator Surveys for every MEC and year that data were available. National-level social, economic and health-related variables were gathered from the World Bank as putative covariates of treatment-seeking rates. A generalized additive mixed model (GAMM) was used to estimate treatment-seeking behaviours for countries where survey data were unavailable. Two separate models were developed to predict the proportion of fever cases that would seek treatment at (1) a public health facility or (2) from any kind of treatment provider. RESULTS: Treatment-seeking data were available for 74 MECs and modelled for the remaining 24. GAMMs found that the percentage of pregnant women receiving prenatal care, vaccination rates, education level, government health expenditure, and GDP growth were important predictors for both categories of treatment-seeking outcomes. Treatment-seeking rates, which varied both within and among regions, revealed that public facilities were not always the primary facility type used. CONCLUSIONS: Estimates of treatment-seeking rates show how health services are utilized and help correct reported malaria case numbers to obtain more accurate measures of disease burden. The assembled and modelled data demonstrated that while treatment-seeking rates have overall increased over time, access remains low in some malaria endemic regions and utilization of government services is in some areas limited. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-1048-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-11 /pmc/articles/PMC4709965/ /pubmed/26754795 http://dx.doi.org/10.1186/s12936-015-1048-x Text en © Battle et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Battle, Katherine E.
Bisanzio, Donal
Gibson, Harry S.
Bhatt, Samir
Cameron, Ewan
Weiss, Daniel J.
Mappin, Bonnie
Dalrymple, Ursula
Howes, Rosalind E.
Hay, Simon I.
Gething, Peter W.
Treatment-seeking rates in malaria endemic countries
title Treatment-seeking rates in malaria endemic countries
title_full Treatment-seeking rates in malaria endemic countries
title_fullStr Treatment-seeking rates in malaria endemic countries
title_full_unstemmed Treatment-seeking rates in malaria endemic countries
title_short Treatment-seeking rates in malaria endemic countries
title_sort treatment-seeking rates in malaria endemic countries
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709965/
https://www.ncbi.nlm.nih.gov/pubmed/26754795
http://dx.doi.org/10.1186/s12936-015-1048-x
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