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Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi
BACKGROUND: 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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517381/ https://www.ncbi.nlm.nih.gov/pubmed/23153311 http://dx.doi.org/10.1186/1476-072X-11-49 |
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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 |
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 |
collection | PubMed |
description | BACKGROUND: 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. METHODS: 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. RESULTS: 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. DISCUSSION: 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. |
format | Online Article Text |
id | pubmed-3517381 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35173812012-12-08 Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa - methods and results in Northern Malawi 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 Int J Health Geogr Methodology BACKGROUND: 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. METHODS: 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. RESULTS: 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. DISCUSSION: 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. BioMed Central 2012-11-15 /pmc/articles/PMC3517381/ /pubmed/23153311 http://dx.doi.org/10.1186/1476-072X-11-49 Text en Copyright ©2012 Houben et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology 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 |
title | 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_short | 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 |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517381/ https://www.ncbi.nlm.nih.gov/pubmed/23153311 http://dx.doi.org/10.1186/1476-072X-11-49 |
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