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Time, space and health: using the life history calendar methodology applied to mobility in a medical-humanitarian organisation

In the medical humanitarian context, the challenging task of collecting health information from people on the move constitutes a key element to identifying critical health care needs and gaps. Médecins Sans Frontières (MSF), during its long history of working with migrants, refugees and mobile popul...

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Autores principales: Cubides, Juan-Carlos, Jorgensen, Nuni, Peiter, Paulo Cesar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553165/
https://www.ncbi.nlm.nih.gov/pubmed/36200482
http://dx.doi.org/10.1080/16549716.2022.2128281
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author Cubides, Juan-Carlos
Jorgensen, Nuni
Peiter, Paulo Cesar
author_facet Cubides, Juan-Carlos
Jorgensen, Nuni
Peiter, Paulo Cesar
author_sort Cubides, Juan-Carlos
collection PubMed
description In the medical humanitarian context, the challenging task of collecting health information from people on the move constitutes a key element to identifying critical health care needs and gaps. Médecins Sans Frontières (MSF), during its long history of working with migrants, refugees and mobile populations in different contexts, has acknowledged how crucial it is to generate detailed context-related data on migrant and refugee populations in order to adapt the response interventions to their needs and circumstances. In 2019, the Brazilian Medical Unit/MSF developed the Migration History Tool (MHT), an application based on the life history method which was created in close dialogue with field teams in order to respond to information needs emerging from medical operations in mobile populations. The tool was piloted in two different contexts: firstly, among mobile populations transiting and living in Beitbridge and Musina, at the Zimbabwe-South Africa border; and, secondly, among Venezuelan migrants and refugees in Colombia. This article describes the implementation of this innovative method for collecting quantitative retrospective data on mobility and health in the context of two humanitarian interventions. The results have proven the flexibility of the methodology, which generated detailed information on mobility trajectories and on the temporalities of migration in two different contexts. It also revealed how health outcomes are not only associated with the spatial dimensions of movement, but also with the temporalities of mobility trajectories.
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spelling pubmed-95531652022-10-12 Time, space and health: using the life history calendar methodology applied to mobility in a medical-humanitarian organisation Cubides, Juan-Carlos Jorgensen, Nuni Peiter, Paulo Cesar Glob Health Action Research Article In the medical humanitarian context, the challenging task of collecting health information from people on the move constitutes a key element to identifying critical health care needs and gaps. Médecins Sans Frontières (MSF), during its long history of working with migrants, refugees and mobile populations in different contexts, has acknowledged how crucial it is to generate detailed context-related data on migrant and refugee populations in order to adapt the response interventions to their needs and circumstances. In 2019, the Brazilian Medical Unit/MSF developed the Migration History Tool (MHT), an application based on the life history method which was created in close dialogue with field teams in order to respond to information needs emerging from medical operations in mobile populations. The tool was piloted in two different contexts: firstly, among mobile populations transiting and living in Beitbridge and Musina, at the Zimbabwe-South Africa border; and, secondly, among Venezuelan migrants and refugees in Colombia. This article describes the implementation of this innovative method for collecting quantitative retrospective data on mobility and health in the context of two humanitarian interventions. The results have proven the flexibility of the methodology, which generated detailed information on mobility trajectories and on the temporalities of migration in two different contexts. It also revealed how health outcomes are not only associated with the spatial dimensions of movement, but also with the temporalities of mobility trajectories. Taylor & Francis 2022-10-06 /pmc/articles/PMC9553165/ /pubmed/36200482 http://dx.doi.org/10.1080/16549716.2022.2128281 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cubides, Juan-Carlos
Jorgensen, Nuni
Peiter, Paulo Cesar
Time, space and health: using the life history calendar methodology applied to mobility in a medical-humanitarian organisation
title Time, space and health: using the life history calendar methodology applied to mobility in a medical-humanitarian organisation
title_full Time, space and health: using the life history calendar methodology applied to mobility in a medical-humanitarian organisation
title_fullStr Time, space and health: using the life history calendar methodology applied to mobility in a medical-humanitarian organisation
title_full_unstemmed Time, space and health: using the life history calendar methodology applied to mobility in a medical-humanitarian organisation
title_short Time, space and health: using the life history calendar methodology applied to mobility in a medical-humanitarian organisation
title_sort time, space and health: using the life history calendar methodology applied to mobility in a medical-humanitarian organisation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553165/
https://www.ncbi.nlm.nih.gov/pubmed/36200482
http://dx.doi.org/10.1080/16549716.2022.2128281
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