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GPS supported assessment integrated with GIS service area analysis of healthcare institutions of Basona Werana in comparison with Debre Berhan

    Wondwossen Mindahun   Affiliation
    ; Natnael Agegnehu   Affiliation
    ; Andnet Nigussie   Affiliation

Abstract

The study is principally aimed to assess and analyse the spatial location of the health institutions from lowerlevel Health Posts (HPs) to higher level Referral Hospitals (RHs) in both Zonal Capital Debre Berhan Town (DBT) and the surrounding Rural Basona Werana Wereda (BWW) which includes both government and private owned using Global Positioning System (GPS) equipment and ArcGIS software. The methodological procedure encompasses adjustments of data before use for the analysis, data processing, analysis and final result. On this basis, it could become possible to identify the spatial locations of the health institutions in BWW and DBT including residential areas in both districts. Built up road network data set enabled generation of possible service areas and as a result higher Clinics, Health Centrers and hospitals are either nearly or fully provided for urbanized population of DBT while they are either extremely rare or not provided in the rural population of BWW. Absence of road infrastructures and transport facilities also intensified the rural health service access. The study suggests involvement of scientific approaches of GPS, GIS and other relevant technologies towards health policy implementation will be a remedial action for the government and stake holders of the health sector.

Keyword : GPS, GIS, service area analysis, proximity analysis, health institutions, BWW, DBT

How to Cite
Mindahun, W., Agegnehu, N., & Nigussie, A. (2022). GPS supported assessment integrated with GIS service area analysis of healthcare institutions of Basona Werana in comparison with Debre Berhan. Geodesy and Cartography, 48(4), 209–217. https://doi.org/10.3846/gac.2022.14139
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Nov 28, 2022
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References

Bekele, A., & Lakew, Y. (2014). Projecting Ethiopian demographics from 2012–2050 using the spectrum suite of models. Health Policy Project. Addis Ababa.

Ejiagha, R. I., Ojiako, C. J., & Eze, G. C. (2012). Accessibility analysis of healthcare delivery system within Enugu urban area using geographic information system. Journal of Geographic Information System, 4(4), 317–319. https://doi.org/10.4236/jgis.2012.44036

Koutelekos, J., Photis, N. Y., & Manetos, P. N. (2007). Geographic information analysis and health infrastructure. Health Science Journal, 1(3), 55–67.

Ministry of Finance and Economic Development. (2014). Growth and transformation plan: Annual progress report for F.Y. 2012/13. Addis Ababa, Federal Democratic Republic of Ethiopia.

Mushonga, T. H., Banda, F., & Mulolwa, A. (2017). Development of a web based GIS for health facilities mapping, monitoring and reporting: A case study of the Zambian Ministry of health. South African Journal of Geomatics, 6(3), 321–332. https://doi.org/10.4314/sajg.v6i3.4

National Planning Commission. (2018). The second growth and transformation plan (GTP II): Midterm review report. Addis Ababa, Federal Democratic Republic of Ethiopia.

PHE Ethiopia Consortium. (n.d.). Meeting the GTP targets: The contribution of the population, health and environment integration approach. USAID, Addis Ababa.

Wamai, R. G. (2004). Reviewing Ethiopia’s Health System Development. JMAJ, 52(4), 279–286.

World Health Organization. (2018). World health statistics 2018: Monitoring health for SDGs. Geneva.

World Health Organization. (2019a). Primary health care on the road to universal health coverage 2019 monitoring report conference edition. Geneva.

World Health Organization. (2019b). World health statistics 2019: Monitoring health for SDGs. Geneva.

World Health Report. (2008). The challenges of a changing world; Primary health care – now more than ever.