Spatial Analysis of the Elderly Population Distribution and Access to Health Services in the Districts of Baghdad Governorate Using Modern Technologies

Authors

  • Asst. Prof. Dr. Zainab Mohammed Ameen Al-Iraqia University, College of Arts

DOI:

https://doi.org/10.31185/eduj.Vol59.Iss1.4295

Keywords:

Elderly – Geographic Space – Accessibility Index to Health Services

Abstract

This study examines the spatial distribution of the elderly population (aged 60 years and above) and their access to health services in the districts of Baghdad Governorate. With demographic changes resulting from declining birth and death rates and increasing survival rates, the needs of the elderly have become a key focus in health services planning. The research aims to assess the availability of health services, identify the barriers that elderly individuals face in accessing these services, and propose solutions to improve these opportunities.

Data were collected from field questionnaires and demographic studies conducted in 2024, with a total of 465 questionnaires, of which 15 were excluded. The analysis relied on Geographic Information Systems (GIS) to identify spatial disparities and calculate accessibility indicators using Python programming after processing the questionnaires with SPSS. The results revealed significant disparities in the distribution of the elderly and their access to health services. Districts such as Tarmiyah and Mada’in recorded the lowest indicators due to weak health facilities, transportation difficulties, and a shortage of specialized medical staff. In contrast, districts like Adhamiya and Karkh achieved high accessibility indicators thanks to well-developed infrastructure and advanced health services.

The study concluded that intervention is necessary to improve access to health services in low-performing districts through the establishment of additional health facilities, enhancement of transportation networks, and expansion of specialized health services.

Downloads

Download data is not yet available.

References

1. Cochran, William G., Sampling Techniques, Third Edition, John Wiley & Sons, New York, USA, 1977.

2. Galrett, Poulain, Population Dynamics, Global Perspectives, First Edition, New York, 2013.

3. Igor Linkov, Emily Moberg, Multi-Criteria Decision Analysis: Environmental Applications and Case Studies, First Edition, CRC Press, Boca Raton, Florida, USA, 2011. DOI: https://doi.org/10.1201/b11471

4. Johan F. Steens, Decision Making Using Weighted Sum Model, Second Edition, Springer, Berlin, Germany, 2015.

5. Jones, Richard A., Population Dynamics, Fourth Edition, New York, 2020.

6. Neuman, W. L., Quantitative Social Research Methods, Third Edition, Pearson Press, Boston, USA, 2017.

7. Peterson, Michael J., Population and Age Composition, Third Edition, Global Publishing House, London, 2019.

8. Preston, Samuel, Patrick Heuveline, Michel Guillot, Demography: Measuring and Modeling Population Processes, First Edition, Blackwell Publishing, Malden, Massachusetts, USA, 2001.

9. Saaty, T. L., Decision Making with the Analytic Hierarchy Process, Second Edition, Springer, New York, 2008. DOI: https://doi.org/10.1504/IJSSCI.2008.017590

10. The Sustainable Development Goals Report, United Nations, New York, 2020.

11. U. N., Demographic Year Book, New York, 1980.

12. United Nations Development Programme (UNDP), Human Development Index (HDI): Methodology, First Edition, United Nations Publications, New York, 2019.

13. World Health Organization (WHO), Identifying Determinants of Access to Health Services, Second Edition, WHO Press, Geneva, Switzerland, 2020.

more information about the relative importance of factors, see

14. World Bank, "Transportation as a Key Factor in Accessing Services, Especially in Remote Areas," 2019, p. 45.

15. World Health Organization (WHO), "World Health Statistics," WHO Press, Geneva, Switzerland, 2020, p. 78.

16. HelpAge International, "Services Targeting the Needs of the Elderly," HelpAge International Press, London, UK, 2018, p. 60.

17. World Bank, "Enhancing Accessibility for the Elderly through Improved Infrastructure," World Bank Publications, Washington, DC, USA, 2020, p. 90.

18. World Health Organization (WHO), "Improving Healthcare Quality and Patient Satisfaction," WHO Press, Geneva, Switzerland, 2021, p. 102.

19. Oxfam, "The Impact of Administrative and Financial Barriers on Accessibility," Oxfam Publications, Oxford, UK, 2019, p. 112.

20. Global Health Institute, "The Impact of Overcrowding on Optimal Utilization of Health Services," Global Health Institute Press, Boston, USA, 2020, p. 88.

21. Journal of Pharmaceutical Policy, "The Effect of Drug Shortages on Optimal Facility Utilization," Pharmaceutical Policy Press, New York, USA, 2017, p. 45.

22. International Journal of Health Services, "Relatively Limited Impact of Medical Specialties Shortages Compared to Other Factors," Health Services Press, London, UK, 2017, p. 33.

Downloads

Published

2025-05-10

How to Cite

Asst. Prof. Dr. Zainab Mohammed Ameen. (2025). Spatial Analysis of the Elderly Population Distribution and Access to Health Services in the Districts of Baghdad Governorate Using Modern Technologies. Journal of Education College Wasit University, 59(1), 159-178. https://doi.org/10.31185/eduj.Vol59.Iss1.4295