Cargando…
Combining survey data, GIS and qualitative interviews in the analysis of health service access for persons with disabilities
BACKGROUND: Equitable access to health services is a key ingredient in reaching health for persons with disabilities and other vulnerable groups. So far, research on access to health services in low- and middle-income countries has largely relied on self-reported survey data. Realizing that there ma...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019232/ https://www.ncbi.nlm.nih.gov/pubmed/29940955 http://dx.doi.org/10.1186/s12914-018-0166-2 |
_version_ | 1783335083595268096 |
---|---|
author | Eide, Arne H. Dyrstad, Karin Munthali, Alister Van Rooy, Gert Braathen, Stine H. Halvorsen, Thomas Persendt, Frans Mvula, Peter Rød, Jan Ketil |
author_facet | Eide, Arne H. Dyrstad, Karin Munthali, Alister Van Rooy, Gert Braathen, Stine H. Halvorsen, Thomas Persendt, Frans Mvula, Peter Rød, Jan Ketil |
author_sort | Eide, Arne H. |
collection | PubMed |
description | BACKGROUND: Equitable access to health services is a key ingredient in reaching health for persons with disabilities and other vulnerable groups. So far, research on access to health services in low- and middle-income countries has largely relied on self-reported survey data. Realizing that there may be substantial discrepancies between perceived and actual access, other methods are needed for more precise knowledge to guide health policy and planning. The objective of this article is to describe and discuss an innovative methodological triangulation where statistical and spatial analysis of perceived distance and objective measures of access is combined with qualitative evidence. METHODS: The data for the study was drawn from a large household and individual questionnaire based survey carried out in Namibia and Malawi. The survey data was combined with spatial data of respondents and health facilities, key informant interviews and focus group discussions. To analyse access and barriers to access, a model is developed that takes into account both measured and perceived access. The geo-referenced survey data is used to establish four outcome categories of perceived and measured access as either good or poor. Combined with analyses of the terrain and the actual distance from where the respondents live to the health facility they go to, the data allows for categorising areas and respondents according to the four outcome categories. The four groups are subsequently analysed with respect to variation in individual characteristics and vulnerability factors. The qualitative component includes participatory map drawing and is used to gain further insight into the mechanisms behind the different combinations of perceived and actual access. RESULTS: Preliminary results show that there are substantial discrepancies between perceived and actual access to health services and the qualitative study provides insight into mechanisms behind such divergences. CONCLUSION: The novel combination of survey data, geographical data and qualitative data will generate a model on access to health services in poor contexts that will feed into efforts to improve access for the most vulnerable people in underserved areas. |
format | Online Article Text |
id | pubmed-6019232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60192322018-07-06 Combining survey data, GIS and qualitative interviews in the analysis of health service access for persons with disabilities Eide, Arne H. Dyrstad, Karin Munthali, Alister Van Rooy, Gert Braathen, Stine H. Halvorsen, Thomas Persendt, Frans Mvula, Peter Rød, Jan Ketil BMC Int Health Hum Rights Technical Advance BACKGROUND: Equitable access to health services is a key ingredient in reaching health for persons with disabilities and other vulnerable groups. So far, research on access to health services in low- and middle-income countries has largely relied on self-reported survey data. Realizing that there may be substantial discrepancies between perceived and actual access, other methods are needed for more precise knowledge to guide health policy and planning. The objective of this article is to describe and discuss an innovative methodological triangulation where statistical and spatial analysis of perceived distance and objective measures of access is combined with qualitative evidence. METHODS: The data for the study was drawn from a large household and individual questionnaire based survey carried out in Namibia and Malawi. The survey data was combined with spatial data of respondents and health facilities, key informant interviews and focus group discussions. To analyse access and barriers to access, a model is developed that takes into account both measured and perceived access. The geo-referenced survey data is used to establish four outcome categories of perceived and measured access as either good or poor. Combined with analyses of the terrain and the actual distance from where the respondents live to the health facility they go to, the data allows for categorising areas and respondents according to the four outcome categories. The four groups are subsequently analysed with respect to variation in individual characteristics and vulnerability factors. The qualitative component includes participatory map drawing and is used to gain further insight into the mechanisms behind the different combinations of perceived and actual access. RESULTS: Preliminary results show that there are substantial discrepancies between perceived and actual access to health services and the qualitative study provides insight into mechanisms behind such divergences. CONCLUSION: The novel combination of survey data, geographical data and qualitative data will generate a model on access to health services in poor contexts that will feed into efforts to improve access for the most vulnerable people in underserved areas. BioMed Central 2018-06-26 /pmc/articles/PMC6019232/ /pubmed/29940955 http://dx.doi.org/10.1186/s12914-018-0166-2 Text en © The Author(s). 2018 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 | Technical Advance Eide, Arne H. Dyrstad, Karin Munthali, Alister Van Rooy, Gert Braathen, Stine H. Halvorsen, Thomas Persendt, Frans Mvula, Peter Rød, Jan Ketil Combining survey data, GIS and qualitative interviews in the analysis of health service access for persons with disabilities |
title | Combining survey data, GIS and qualitative interviews in the analysis of health service access for persons with disabilities |
title_full | Combining survey data, GIS and qualitative interviews in the analysis of health service access for persons with disabilities |
title_fullStr | Combining survey data, GIS and qualitative interviews in the analysis of health service access for persons with disabilities |
title_full_unstemmed | Combining survey data, GIS and qualitative interviews in the analysis of health service access for persons with disabilities |
title_short | Combining survey data, GIS and qualitative interviews in the analysis of health service access for persons with disabilities |
title_sort | combining survey data, gis and qualitative interviews in the analysis of health service access for persons with disabilities |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019232/ https://www.ncbi.nlm.nih.gov/pubmed/29940955 http://dx.doi.org/10.1186/s12914-018-0166-2 |
work_keys_str_mv | AT eidearneh combiningsurveydatagisandqualitativeinterviewsintheanalysisofhealthserviceaccessforpersonswithdisabilities AT dyrstadkarin combiningsurveydatagisandqualitativeinterviewsintheanalysisofhealthserviceaccessforpersonswithdisabilities AT munthalialister combiningsurveydatagisandqualitativeinterviewsintheanalysisofhealthserviceaccessforpersonswithdisabilities AT vanrooygert combiningsurveydatagisandqualitativeinterviewsintheanalysisofhealthserviceaccessforpersonswithdisabilities AT braathenstineh combiningsurveydatagisandqualitativeinterviewsintheanalysisofhealthserviceaccessforpersonswithdisabilities AT halvorsenthomas combiningsurveydatagisandqualitativeinterviewsintheanalysisofhealthserviceaccessforpersonswithdisabilities AT persendtfrans combiningsurveydatagisandqualitativeinterviewsintheanalysisofhealthserviceaccessforpersonswithdisabilities AT mvulapeter combiningsurveydatagisandqualitativeinterviewsintheanalysisofhealthserviceaccessforpersonswithdisabilities AT rødjanketil combiningsurveydatagisandqualitativeinterviewsintheanalysisofhealthserviceaccessforpersonswithdisabilities |