Evidence map›Paper›PMID 29940955›Full record

ArticleBMC international health and human rights2018

Combining survey data, GIS and qualitative interviews in the analysis of health service access for persons with disabilities.

Arne H Eide, Karin Dyrstad, Alister Munthali, Gert Van Rooy, Stine H Braathen, Thomas Halvorsen, Frans Persendt, Peter Mvula, Jan Ketil Rød

Abstract read
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Article in BMC international health and human rights, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Maximizing Veterans Health Affairs Community Hospice Collaborations: Review of Perceived Resource Needs to Support Veterans at End of Life.Journal of hospice and palliative nursing : JHPN : the official journal of the Hospice and Palliative Nurses Association · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Arne H EideSINTEF, Department of Health, P.B.124, N-0314, Oslo, Norway. arne.h.eide@sintef.no.ORCID 0000-0002-9413-3108
Karin DyrstadDepartment of Sociology and Political Science, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway.
Alister MunthaliCentre for Social Research, University of Malawi, P.O. Box 280, Zomba, Malawi.
Gert Van RooyMultidisciplinary Research Centre, University of Namibia, P. B. 13301, Windhoek, Namibia.
Stine H BraathenSINTEF, Department of Health, P.B.124, N-0314, Oslo, Norway.
Thomas HalvorsenSINTEF, Department of Health, P.B. 4760, Torgarden, N-7465, Trondheim, Norway.
Frans PersendtDepartment of Geography, History and Environmental Studies, University of Namibia, P.B. 13301, Windhoek, Namibia.
Peter MvulaCentre for Social Research, University of Malawi, P.O. Box 280, Zomba, Malawi.
Jan Ketil RødDepartment of Geography, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway.

Funding

Norges Forskningsråd 250815
6 · The paper itself

Abstract

backgroundEquitable 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.

methodsThe 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.

resultsPreliminary 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.

conclusionThe 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.

Indexed as

Geographic Information SystemsHealth Services AccessibilityPersons with DisabilitiesSpatial AnalysisFocus GroupsHealth ServicesHumansInterviews as TopicMalawiNamibiaQualitative ResearchSurveys and QuestionnairesAccessCombining methodsGeographical dataHealth servicesLow-income countriesQualitative studySurveyVulnerable groups

Identifiers

PMID29940955
PMCPMC6019232

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.