Web-Based Geographic Information System for Location Based Healthcare Service Delivery within Akure Metropolis

Authors

  • Ijaware Victor Ayodele Department of Surveying and Geoinformatics, School of Environmental Technology, Federal University of Technology, Akure, Ondo State, Nigeria
  • Egahi Gideon Emmaogboji Department of Surveying and Geoinformatics, School of Environmental Technology, Federal University of Technology, Akure, Ondo State, Nigeria

DOI:

https://doi.org/10.47672/ajes.1842
Abstract views: 42
PDF downloads: 23

Keywords:

Healthcare Service Delivery; Geo-Database, I18, R58; Health Geo-Information System (HGS), I19

Abstract

Purpose: This research project addresses the pressing issue of healthcare access within Akure Metropolis, Nigeria, through the development of a web-based Health Geoinformation System (HGS). Akure, like many urban centers in developing countries, faces significant challenges in healthcare delivery, including uneven distribution of facilities and limited access to reliable health information. In response to these challenges, this study leverages Geographical Information System (GIS) technology to create an innovative solution aimed at enhancing accessibility and information dissemination. Grounded in the context of Nigeria's healthcare system, the research identifies the need for an integrated approach to address the complex spatial dynamics of healthcare provision.

Materials and Methods: Methodologically, the project combines primary data collection on the characteristics of health facilities in Akure with secondary data sources, including existing health records. A total of 100 healthcare facilities were located and identified for this study, with comprehensive information collected through three sets of questionnaires directed to healthcare facility managers and professionals, hospital management bodies, and the public. The data collection process employed Binary Logistic Regression to test research hypotheses, with charts utilized to represent public responses to the posed questions. Spatial representation and analysis were central to this study, with techniques such as Nearest Neighbor Analysis employed to assess the distribution and accessibility of health facilities.

Findings: The results from this analysis revealed significant spatial patterns and disparities in healthcare facility distribution within Akure Metropolis. Notably, the study found that a developed web-based system having user-friendly functionalities like facility search, mapping, and route selection, among others, aids individuals in making informed decisions about their healthcare options.

Implications to Theory, Practice and Policy: The results underline the potential of web-based systems to enhance healthcare access and decision-making processes in urban areas like Akure and further emphasize the significance of incorporating GIS technology into healthcare service delivery.

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References

Abdulkader, M., (2018) Using GIS for Determining Variations in Health Access in Jeddah City, Saudi Arabia, International Journal of Geoinformation. ISPRS Int. J. Geo-Inf.

Adesola, W. A., (2009) Design and Implementation of a Web-based Information System for National Health Insurance Scheme Using the Object-Relational Database Approach, Global Journal of Pure and Applied Sciences, 16 (1), 83-94.

Andrei-Cătălin T, (2015). “Location-Based Web Search and Mobile Applications” Publications of the University of Eastern Finland Dissertations in Forestry and Natural Sciences.

Bates, D. W., Kuperman, G. J., Wang, S., Gandhi, T., Kittler, A., Volk, L., Middleton, B. (2003). “Ten commandments for effective clinical decision support: Making the practice of evidencebased medicine a reality”. Journal of the American Medical Informatics Association, 10(6), 523–530. https://doi. org/10.1197/jamia.m1370.

Climate-Data, (2022) Akure Climate (Nigeria) Data and Graphs for Weather & Climate in Akure, Retrieved December 19, 2022, Available at https://en.climate-data.org/africa/nigeria/ondo/akure-46678/

Fortney, J., Rost, K., and Warren, J (2000). “Comparing alternative methods of measuring geographic access to health services,” Health Services and Outcomes Research Methodology 1(2), 173–184, 2000.

Gulliford M, Figueroa J, Morgan M, Hughes D, Gibson B, Beech R, and Hudson M, (2002). “What does 'access to health care' mean?” Journal of health services research & policy. 7. 186-8. 10.1258/135581902760082517.

Gunjal, B, (2003). Database System: Concepts and Design. Proceedings of 24th IASLIC–SIG-

Khennie, O.O., (2013) Geographic Information System to Investigate the Spatial Distribution Pattern of Healthcare Centres in make Map and Create Database of Primary Health Centers (PHC’s) in Lagos Island LGA. Available at https://www.academia.edu/27518323

Mushonga, H.T., Banda, F., Mulolwa., (2017) A 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 :321–332

Musilimu, A.A., (2013) Spatial Distribution, Pattern and Accessibility of Urban Population to Health Facilities in South Western Nigeria: Case Study of Ilesha.

NHS (2017) Nigerian Health Sector Market Study Report Pharm Access Group page 9-10

NHMIS (2007) National Health Management Information System (NHIMS) Revised Policy Document

NMCP, (2012) National Malaria Control Programme Report, Federal Ministry of Health

NHO Healthcare Records Management Steering Committee, (2007). “National Hospitals Office

Nigerian Federal Ministry of Health (FMOH). (2015). Nigeria Health ICT Phase 2 Field Assessment Findings.

Ojajuni, O.J., Atanlogun, S.K., Akinbohun F., (2013) Population Growth & Health Facilities in Nigeria: A Case Study of Ondo State, International Journal of Scientific & Technology Research, 2 (8)

Oluwaseun, O., and Olaronke, I. (2015). Strategies for Managing Information Flow in Nigeria Healthcare System Strategies, International Journal of Applied Information Systems. 9(8).

Owoeye, J.O., and Akinluyi, F.O., (2018). Geospatial Analysis of Land Cover Change and Urban Sprawl Trend in Akure Region, Nigeria DOI:10.15406/ahoaj.2018.02.00028

Rao, B. & Minakakis, L. (2003). “Evolution of Mobile Location-Based Services”, Communication of the ACM, 46(12), pp. 61-65.

Ryschka, S., Murawski, M., Bick, M. (2016). Location-Based Services. Business & Information Systems Engineering. 58. 10.1007/s12599-016-0430-8.

Sedenu, H.A., Muibi, K. H., Alaga, A. T., Ajileye, O. O., John, O., Kappo A. A., Popoola O. S., and Oloko-Oba O. M., (2016) Spatial Analysis of the Distribution Pattern of Primary Healthcare Facilities in Ile – Ife Metropolis Using Geographic Information System, JSRR, 10(1): 1-15.

Turban, E., 1993, “Decision Support and Expert Systems: Management Support Systems”, New York: Macmillan Pub. Co.

Virrantaus K, Markkula, J, Garmash A, Terziyan V, Veijalainen J, Katanosov A, and Tirri, H. (2002). “Developing GIS-supported Location-Based Services”. Proceedings of the Second International Conference on Web Information Systems Engineering 2001. 2. 66-75 vol.2. 10.1109/WISE.2001.996708.

Wachs, M. and Kumagai, T.G., (1973). “Physical Accessibility as a social indicator,” SocioEconomic Planning Science 7, 437–456, 1973.

Wang, F. (2020) Why Public Health Needs GIS: A Methodological Overview. Ann GIS; 26(1): 1-12, Available at https://doi/org:10.1080/19475683.2019.1702099

Wingerath W., Ritter N., and Gessert F., (2019) “Database management,” in SpringerBriefs in Computer Science.

W.H.O, (2000). WHO Report on Global Surveillance of Epidemic-prone Infectious Disease. Department of Communicable Disease Surveillance and Response WHO/CDS/CSR/ISR/2000.1

W.H.O, (2005) Nigeria: country status Report.

Yaya, J.A, Asunmo, A.A., Abolarinwa, S.T., Onyenekwe, N.L., (2015) Challenges of Record Management in two Health Institutions in Lagos State, Nigeria, International Journal of Research in Humanities and Social Studies

Zacharias D., Dimitrios T., Filipos G., and Athina L., (2016) The Utilization of Geographic Information Systems in Healthcare, International Journal of Health Research and Innovation, 4(1).

Zhang, S., Xing, T., Tao, L. & Zhang, F. (2013). “OSGIS & FOSS in LBS Design”. Proceedings of the 2013 International Conference on Software Engineering and Computer Science ICSECS2013, pp. 261-264

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Published

2024-03-07

How to Cite

Ayodele, I. V. ., & Emmaogboji, E. G. . (2024). Web-Based Geographic Information System for Location Based Healthcare Service Delivery within Akure Metropolis. American Journal of Environment Studies, 7(1), 15 - 42. https://doi.org/10.47672/ajes.1842

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