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Reseach Article

Optimizing Access to Primary Health Care Services in Rural Communities using Geographical Information System (GIS): A Case of Atwima Mponua District of Ghana

by Asaah Kofi, Najim Ussiph
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 163 - Number 10
Year of Publication: 2017
Authors: Asaah Kofi, Najim Ussiph
10.5120/ijca2017913728

Asaah Kofi, Najim Ussiph . Optimizing Access to Primary Health Care Services in Rural Communities using Geographical Information System (GIS): A Case of Atwima Mponua District of Ghana. International Journal of Computer Applications. 163, 10 ( Apr 2017), 30-36. DOI=10.5120/ijca2017913728

@article{ 10.5120/ijca2017913728,
author = { Asaah Kofi, Najim Ussiph },
title = { Optimizing Access to Primary Health Care Services in Rural Communities using Geographical Information System (GIS): A Case of Atwima Mponua District of Ghana },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 163 },
number = { 10 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 30-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume163/number10/27433-2017913728/ },
doi = { 10.5120/ijca2017913728 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:09:51.264866+05:30
%A Asaah Kofi
%A Najim Ussiph
%T Optimizing Access to Primary Health Care Services in Rural Communities using Geographical Information System (GIS): A Case of Atwima Mponua District of Ghana
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 10
%P 30-36
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Equitable and easy access to health care facilities is often considered one of the main objectives of many health care systems. Inequality in the spatial distribution of health facilities as well as lack of proper health care infrastructure planning standards has led to disparity in spatial accessibility to healthcare by communities in Atwima Mponua district. In this study, location data (coordinates) for all the 180 communities together with the coordinates of the existing health facilities in the study area were collected using a Geographic Information System device (GPS). The road network and other “river bodies” geographical data were traced and copied from Open Street Map online. Using an 8km radius, the data were then analyzed using ArcGIS network analysis model as per the research objectives. Output from the ArcGIS analyzed data were then described and quantified with the help of stata and population data collected. The study revealed that 61 out of the 180 communities had no health care facility available within 8km radius. A large proportion of the residents have to travel a long way to access health care facilities given the criteria that health facility should be accessible to population within 8km distance from the facility. On the average, patient in the district travel a minimum of 6.62km and a maximum of 21.20km with a standard deviation of 4.33km to access health care. More so, the study showed that 26.39% of the district population were residing beyond the 8km service area criteria. In reality, absolute equal spatial accessibility is not always achievable but it is possible to plan and build an optimized health system. This study has been able to optimize accessibility to healthcare services in the study area based on the WHO standard of 8km distance (to healthcare site by people) with the application of GIS technology. This can therefore help to improve equity as well as spatial accessibility to healthcare by the people of Atwima Mponua.

References
  1. Oliver A., & Mossialos E, (2004). Outlining the foundations for Actions: Journal of Epidemol Community health, 58 pp655-658
  2. Joseph, A.E., & Phillips, D.R. (1984). Accessibility and Utilization: Geographical Perspectives on Health Care Delivery. Harper & Row Ltd, London; 1984.
  3. Arcury, T.A., Gesler, W.M., Preisser, J.S., Sherman, J., Spencer, J., & Perin, J. (2005). The Effects of Geography and Spatial Behavior on Health Care Utilization among the Residents of a Rural Region. Health Services Research 2005, 40:135-156.
  4. Tanser F., & Le Sueur D. (2002). Equity of access to health care: International journal of health, biomedcentral.com.
  5. Deichmann U. (1997). Accessibility Indicators in GIS: United Nations Statistics Division, New York.
  6. Bullen N., Moon G., & Jones K. (1996). Defining localities for health planning, a GIS approach: Social Science and Medicine 42, 801±816
  7. National Institute of Statistics. (2007). Ministry of Health [Rwanda], Macro International Inc.: Rwanda Service Provision Assessment Survey. Calverton, Maryland, USA: NIS, MOH and Macro International Inc.
  8. Bailey PE, Keyes EB, Parker C, Abdullah M, Kebede H, Freedman L. Using a GIS to model interventions to strengthen the emergency referral system for maternal and newborn health in Ethiopia. Int J Gynaecol Obstet 2011; 115: 300–09.
  9. UNDP, Millennium Development Goals and Indicators. (2005).www.undp.org/mdg/abcs.>
  10. Ministry of Health of the Republic of Ghana. (1998). A profile of health inequities in Ghana. Accra: Ministry of Health
  11. Department of Health of the Republic of Ghana. (1998). Health Burden in Ghana: Ministry of Health
  12. Young A., Dobson J., & Byles E. (2001). Determinants of general practitioner use among women in Australia. Social Science & Medicine. 53: 1641-1651.
  13. Gulliford M., Figueroa-Munoz J., Morgan M., Hughes D., Gibson B., Beech R., & Hudson M. J. (2002). Health Serv Res Policy. 2002 Jul; 7(3):186-8.
  14. Guagliardo M. F. (2004). Spatial accessibility of primary care: concepts, methods and challenges. International Journal of Health Geographics 3(3): 1-13.
  15. Witten K., Exeter D. (2003). The quality of urban environments: Mapping variation in access to community resources. Urban Studies 40(1):161-177.
  16. Wang L., & Wang F. (2003).Environment and Planning B.
  17. Pirie G. H. (1980). Transportation, temporal and spatial components of accessibility: Lawrence D. Burns, Lexington Books, Lexington, MA, 1979, pp. 152. Transportation Research Part A: General 14(3): 223-224.
  18. Kwan M. P., Weber J. (2003). Individual accessibility revisited: implications for geographical analysis in the twenty-first century. Geographical Analysis 35(4): 341(313).
  19. Khan A.A, Bhardwaj S.M. Access to health care. A conceptual framework and its relevance to health care planning. Evaluation and the Health Professions. pp. 60–76.
  20. Luo W. Using a GIS-based floating catchment method to assess areas with shortage of physicians. Health Place. 2004;10(1):1–11.
  21. Murray, A.T. 2003. A Coverage Model for Improving Public Transit System Accessibility and Expanding Access. Annals of Operations Research 123. (1–4)
  22. Hansen, W.G.1959. Accessibility and residential growth. https://dspace.mit.edu/bitstream/handle/1721.1/74869/32597665-MIT.pdf?...2
  23. Ikporukpo C. O. (1987). An analysis of the accessibility of public facilities in Nigeria. Socio-Econ. Phztm. Sci. 21: 61-69.
  24. Cromley E. K. (2003). GIS and Disease. Annual Review of Public Health. 2003;24:7
  25. Luther S. L., Studnicki J., Kromery J., Lomando-Frakes K. (2003). A Method to Measure the Impact of Primary Care Programs Targeted to Reduce Racial and Ethnic Disparities in Health Outcomes. Journal of Public Health Management and Practice. 2003;9:243–248.
  26. Oliver A., & Mossialos E, (2004). Outlining the foundations for Actions: Journal of Epidemol Community health, 58 pp655-658.
  27. Tanser, F., Gijsbertsen, B., & Herbst K. (2006).Modelling and understanding primary health care accessibility and utilization in rural South Africa: An exploration using a geographical information system.
  28. Connor R. A., Hillson S. D., & Krawelski J. E. (1995). Competition, professional synergism, and the geographic distribution of rural physicians. Med Care 1995, 33:1067-78. PubMed Abstract
  29. Openshaw S. (1984). The Modifiable Areal Unit Problem. Norwick Norfolk, Geo Books;
  30. Fryer. G.E, Drisko J, Krugman RD, et al: Multi-method assessment of access to primary medical care in rural Colorado. J Rural Health. 1999, 15 (1): 113-121
  31. Dutt A. K., Dutta H.M., Jaiswal J., & Monroe C. (1986). Assessment of service adequacy of primary health care physicians in a two county region of Ohio, U.S.A. GeoJournal, 12:443-455
Index Terms

Computer Science
Information Sciences

Keywords

ArcGIS Geographic Information System device GPS Open Street Map online spatial accessibility