Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi

<p>Abstract</p> <p>Background</p> <p>Decentralised health services form a key part of chronic care strategies in resource-limited settings by reducing the distance between patient and clinic and thereby the time and costs involved in travelling. However, few tools exist...

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Main Authors: Houben Rein MGJ, Van Boeckel Thomas P, Mwinuka Venance, Mzumara Peter, Branson Keith, Linard Catherine, Chimbwandira Frank, French Neil, Glynn Judith R, Crampin Amelia C
Format: Article
Language:English
Published: BMC 2012-11-01
Series:International Journal of Health Geographics
Online Access:http://www.ij-healthgeographics.com/content/11/1/49
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spelling doaj-7658b97dee574afbb0595a40cf1265552020-11-24T22:22:25ZengBMCInternational Journal of Health Geographics1476-072X2012-11-011114910.1186/1476-072X-11-49Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern MalawiHouben Rein MGJVan Boeckel Thomas PMwinuka VenanceMzumara PeterBranson KeithLinard CatherineChimbwandira FrankFrench NeilGlynn Judith RCrampin Amelia C<p>Abstract</p> <p>Background</p> <p>Decentralised health services form a key part of chronic care strategies in resource-limited settings by reducing the distance between patient and clinic and thereby the time and costs involved in travelling. However, few tools exist to evaluate the impact of decentralisation on patient travel time or what proportion of patients attend their nearest clinic. Here we develop methods to monitor changes in travel time, using data from the antiretroviral therapy (ART) roll-out in a rural district in North Malawi.</p> <p>Methods</p> <p>Clinic position was combined with GPS information on the home village of patients accessing ART services in Karonga District (North Malawi) between July 2005 and July 2009. Potential travel time was estimated as the travel time for an individual attending their nearest clinic, and estimated actual travel time as the time to the clinic attended. This allowed us to calculate changes in potential and actual travel time as new clinics opened and track the proportion and origin of patients not accessing their nearest clinic.</p> <p>Results</p> <p>The model showed how the opening of further ART clinics in Karonga District reduced median potential travel time from 83 to 43 minutes, and median actual travel time fell from 83 to 47 minutes. The proportion of patients not attending their nearest clinic increased from 6% when two clinics were open, to 12% with four open.</p> <p>Discussion</p> <p>Integrating GPS information with patient data shows the impact of decentralisation on travel time and clinic choice to inform policy and research questions. In our case study, travel time decreased, accompanied by an increased uptake of services. However, the model also identified an increasing proportion of ART patients did not attend their nearest clinic.</p> http://www.ij-healthgeographics.com/content/11/1/49
collection DOAJ
language English
format Article
sources DOAJ
author Houben Rein MGJ
Van Boeckel Thomas P
Mwinuka Venance
Mzumara Peter
Branson Keith
Linard Catherine
Chimbwandira Frank
French Neil
Glynn Judith R
Crampin Amelia C
spellingShingle Houben Rein MGJ
Van Boeckel Thomas P
Mwinuka Venance
Mzumara Peter
Branson Keith
Linard Catherine
Chimbwandira Frank
French Neil
Glynn Judith R
Crampin Amelia C
Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi
International Journal of Health Geographics
author_facet Houben Rein MGJ
Van Boeckel Thomas P
Mwinuka Venance
Mzumara Peter
Branson Keith
Linard Catherine
Chimbwandira Frank
French Neil
Glynn Judith R
Crampin Amelia C
author_sort Houben Rein MGJ
title Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi
title_short Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi
title_full Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi
title_fullStr Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi
title_full_unstemmed Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi
title_sort monitoring the impact of decentralised chronic care services on patient travel time in rural africa - methods and results in northern malawi
publisher BMC
series International Journal of Health Geographics
issn 1476-072X
publishDate 2012-11-01
description <p>Abstract</p> <p>Background</p> <p>Decentralised health services form a key part of chronic care strategies in resource-limited settings by reducing the distance between patient and clinic and thereby the time and costs involved in travelling. However, few tools exist to evaluate the impact of decentralisation on patient travel time or what proportion of patients attend their nearest clinic. Here we develop methods to monitor changes in travel time, using data from the antiretroviral therapy (ART) roll-out in a rural district in North Malawi.</p> <p>Methods</p> <p>Clinic position was combined with GPS information on the home village of patients accessing ART services in Karonga District (North Malawi) between July 2005 and July 2009. Potential travel time was estimated as the travel time for an individual attending their nearest clinic, and estimated actual travel time as the time to the clinic attended. This allowed us to calculate changes in potential and actual travel time as new clinics opened and track the proportion and origin of patients not accessing their nearest clinic.</p> <p>Results</p> <p>The model showed how the opening of further ART clinics in Karonga District reduced median potential travel time from 83 to 43 minutes, and median actual travel time fell from 83 to 47 minutes. The proportion of patients not attending their nearest clinic increased from 6% when two clinics were open, to 12% with four open.</p> <p>Discussion</p> <p>Integrating GPS information with patient data shows the impact of decentralisation on travel time and clinic choice to inform policy and research questions. In our case study, travel time decreased, accompanied by an increased uptake of services. However, the model also identified an increasing proportion of ART patients did not attend their nearest clinic.</p>
url http://www.ij-healthgeographics.com/content/11/1/49
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