Geographic accessibility to primary healthcare centers in Mozambique

António Dos Anjos Luis, Pedro Cabral

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Abstract

RESULTS: The findings from this study highlight accessibility problems, especially in the walking scenario, in which 90.2 % of Mozambique was considered an underserved area. In this scenario, Maputo City (69.8 %) is the province with the greatest coverage of HC. On the other hand, Tete (93.4 %), Cabo Delgado (93 %) and Gaza (92.8 %) are the provinces with the most underserved areas. The driving scenario was less problematic, with about 66.9 % of Mozambique being considered a served area. We also found considerable regional disparities at the province level for this scenario, ranging from 100 % coverage in Maputo City to 48.3 % in Cabo Delgado. In terms of population coverage we found that the problem of accessibility is more acute in the walking scenario, in which about 67.3 % of the Mozambican population is located in underserved areas. For the driving scenario, only 6 % of population is located in underserved areas.

CONCLUSIONS: This study highlights critical areas in Mozambique in which HC are lacking when assessed by walking and driving travel time distance. The majority of Mozambicans are located in underserved areas in the walking scenario. The mapped outputs may have policy implications and can be used for future decision making processes and analysis.

TRIAL REGISTRATION: Not applicable.

BACKGROUND: Access to healthcare services has an essential role in promoting health equity and quality of life. Knowing where the places are and how much of the population is covered by the existing healthcare network is important information that can be extracted from Geographical Information Systems (GIS) and used in effective healthcare planning. The aim of this study is to measure the geographic accessibility of population to existing Healthcare Centers (HC), and to estimate the number of persons served by the health network of Mozambique.

METHODS: Health facilities' locations together with population, elevation, and ancillary data were used to model accessibility to HC using GIS. Two travel time scenarios used by population to attend HC were considered: (1) Driving and; and (2) Walking. Estimates of the number of villages and people located in the region served, i.e. within 60 min from an HC, and underserved area, i.e. outside 60 min from an HC, are provided at national and province level.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalInternational Journal for Equity in Health
Volume15
Issue number1
DOIs
Publication statusPublished - 18 Oct 2016

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Mozambique
Primary Health Care
Delivery of Health Care
Walking
Population
Geographic Information Systems
Decision Support Techniques
Health Facilities
Decision Making
Quality of Life

Keywords

  • Accessibility
  • Geographic information systems
  • Health centers
  • Mozambique
  • Service area

Cite this

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title = "Geographic accessibility to primary healthcare centers in Mozambique",
abstract = "RESULTS: The findings from this study highlight accessibility problems, especially in the walking scenario, in which 90.2 {\%} of Mozambique was considered an underserved area. In this scenario, Maputo City (69.8 {\%}) is the province with the greatest coverage of HC. On the other hand, Tete (93.4 {\%}), Cabo Delgado (93 {\%}) and Gaza (92.8 {\%}) are the provinces with the most underserved areas. The driving scenario was less problematic, with about 66.9 {\%} of Mozambique being considered a served area. We also found considerable regional disparities at the province level for this scenario, ranging from 100 {\%} coverage in Maputo City to 48.3 {\%} in Cabo Delgado. In terms of population coverage we found that the problem of accessibility is more acute in the walking scenario, in which about 67.3 {\%} of the Mozambican population is located in underserved areas. For the driving scenario, only 6 {\%} of population is located in underserved areas.CONCLUSIONS: This study highlights critical areas in Mozambique in which HC are lacking when assessed by walking and driving travel time distance. The majority of Mozambicans are located in underserved areas in the walking scenario. The mapped outputs may have policy implications and can be used for future decision making processes and analysis.TRIAL REGISTRATION: Not applicable.BACKGROUND: Access to healthcare services has an essential role in promoting health equity and quality of life. Knowing where the places are and how much of the population is covered by the existing healthcare network is important information that can be extracted from Geographical Information Systems (GIS) and used in effective healthcare planning. The aim of this study is to measure the geographic accessibility of population to existing Healthcare Centers (HC), and to estimate the number of persons served by the health network of Mozambique.METHODS: Health facilities' locations together with population, elevation, and ancillary data were used to model accessibility to HC using GIS. Two travel time scenarios used by population to attend HC were considered: (1) Driving and; and (2) Walking. Estimates of the number of villages and people located in the region served, i.e. within 60 min from an HC, and underserved area, i.e. outside 60 min from an HC, are provided at national and province level.",
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Geographic accessibility to primary healthcare centers in Mozambique. / Dos Anjos Luis, António; Cabral, Pedro.

In: International Journal for Equity in Health, Vol. 15, No. 1, 18.10.2016, p. 1-13.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Geographic accessibility to primary healthcare centers in Mozambique

AU - Dos Anjos Luis, António

AU - Cabral, Pedro

N1 - Dos Anjos Luis, A., & Cabral, P. (2016). Geographic accessibility to primary healthcare centers in Mozambique. International Journal for Equity in Health, 15(1), 1-13. https://doi.org/10.1186/s12939-016-0455-0

PY - 2016/10/18

Y1 - 2016/10/18

N2 - RESULTS: The findings from this study highlight accessibility problems, especially in the walking scenario, in which 90.2 % of Mozambique was considered an underserved area. In this scenario, Maputo City (69.8 %) is the province with the greatest coverage of HC. On the other hand, Tete (93.4 %), Cabo Delgado (93 %) and Gaza (92.8 %) are the provinces with the most underserved areas. The driving scenario was less problematic, with about 66.9 % of Mozambique being considered a served area. We also found considerable regional disparities at the province level for this scenario, ranging from 100 % coverage in Maputo City to 48.3 % in Cabo Delgado. In terms of population coverage we found that the problem of accessibility is more acute in the walking scenario, in which about 67.3 % of the Mozambican population is located in underserved areas. For the driving scenario, only 6 % of population is located in underserved areas.CONCLUSIONS: This study highlights critical areas in Mozambique in which HC are lacking when assessed by walking and driving travel time distance. The majority of Mozambicans are located in underserved areas in the walking scenario. The mapped outputs may have policy implications and can be used for future decision making processes and analysis.TRIAL REGISTRATION: Not applicable.BACKGROUND: Access to healthcare services has an essential role in promoting health equity and quality of life. Knowing where the places are and how much of the population is covered by the existing healthcare network is important information that can be extracted from Geographical Information Systems (GIS) and used in effective healthcare planning. The aim of this study is to measure the geographic accessibility of population to existing Healthcare Centers (HC), and to estimate the number of persons served by the health network of Mozambique.METHODS: Health facilities' locations together with population, elevation, and ancillary data were used to model accessibility to HC using GIS. Two travel time scenarios used by population to attend HC were considered: (1) Driving and; and (2) Walking. Estimates of the number of villages and people located in the region served, i.e. within 60 min from an HC, and underserved area, i.e. outside 60 min from an HC, are provided at national and province level.

AB - RESULTS: The findings from this study highlight accessibility problems, especially in the walking scenario, in which 90.2 % of Mozambique was considered an underserved area. In this scenario, Maputo City (69.8 %) is the province with the greatest coverage of HC. On the other hand, Tete (93.4 %), Cabo Delgado (93 %) and Gaza (92.8 %) are the provinces with the most underserved areas. The driving scenario was less problematic, with about 66.9 % of Mozambique being considered a served area. We also found considerable regional disparities at the province level for this scenario, ranging from 100 % coverage in Maputo City to 48.3 % in Cabo Delgado. In terms of population coverage we found that the problem of accessibility is more acute in the walking scenario, in which about 67.3 % of the Mozambican population is located in underserved areas. For the driving scenario, only 6 % of population is located in underserved areas.CONCLUSIONS: This study highlights critical areas in Mozambique in which HC are lacking when assessed by walking and driving travel time distance. The majority of Mozambicans are located in underserved areas in the walking scenario. The mapped outputs may have policy implications and can be used for future decision making processes and analysis.TRIAL REGISTRATION: Not applicable.BACKGROUND: Access to healthcare services has an essential role in promoting health equity and quality of life. Knowing where the places are and how much of the population is covered by the existing healthcare network is important information that can be extracted from Geographical Information Systems (GIS) and used in effective healthcare planning. The aim of this study is to measure the geographic accessibility of population to existing Healthcare Centers (HC), and to estimate the number of persons served by the health network of Mozambique.METHODS: Health facilities' locations together with population, elevation, and ancillary data were used to model accessibility to HC using GIS. Two travel time scenarios used by population to attend HC were considered: (1) Driving and; and (2) Walking. Estimates of the number of villages and people located in the region served, i.e. within 60 min from an HC, and underserved area, i.e. outside 60 min from an HC, are provided at national and province level.

KW - Accessibility

KW - Geographic information systems

KW - Health centers

KW - Mozambique

KW - Service area

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