An analysis of the relative importance of healthcare services indicators in South Africa: Utilities Analysis Approach

Authors

DOI:

https://doi.org/10.35898/ghmj-72983

Keywords:

Healthcare service indicators, Relative importance, Utility approach , South Africa, Healthcare users’ preference

Abstract

Background: There is a wide gap in healthcare access between the poor and the rich in South Africa. The government has implemented several policies to address this gap; nonetheless the complaints about poor healthcare delivery exist.

Aims: The objective of this study is to examine the relative importance of healthcare service indicators in Tshwane Municipality, South Africa.

Methods: This research uses a utility approach to analyse the relative importance of healthcare service indicators in the context of the Tshwane Municipality in South Africa. The study applies conjoint analysis to better understand healthcare users' preferences for several factors such as service range, waiting time for medications and consultations, waiting time for elective operations, and location. Questionnaire was administered on 280 respondents, comprising the following: Black – 130, Whites – 70, Indians – 40, and Coloured – 40. The data was collected from both public and private healthcare users, and the results were compared using an independent t-test.

Results: The study found that there were no statistically significant variations in the mean utilities of public and private healthcare users. The finding suggests that healthcare users' preferences, whether they utilize public or private services, are largely comparable and can be addressed by utilizing unified techniques. The result also demonstrates the most favoured levels for each metric, providing insights into patient preferences and their social impacts. The study further highlights various healthcare preferences of users.

Conclusion: This finding emphasises that healthcare users have unique expectations, requiring personalised healthcare delivery. The findings have several recommendations for policymakers and healthcare practitioners to improve service delivery and patient satisfaction.

 

Received: 01 May 2024 | Reviewed: 03 June 2024 | Revised: 12 July 2024 | Accepted: 21 July 2024.

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Author Biography

  • Shenaaz Gani, Ph.D, College of Accounting Sciences, University of South Africa, South Africa.

    College of Accounting Sciences, University of South Africa, South Africa.

References

Alanazi, A. S., Shah, S., Abbas, G., Hussain, M., Saleem, A., Khurram, H., ... & Alzarea, S. I. (2023). Assessing patient satisfaction with community pharmacy services: a large regional study at Punjab, Pakistan. Patient preference and adherence, 13-22. https://doi.org/10.2147/PPA.S389053

Alarcon-Ruiz, C. A., Heredia, P., & Taype-Rondan, A. (2019). Association of waiting and consultation time with patient satisfaction: secondary-data analysis of a national survey in Peruvian ambulatory care facilities. BMC health services research, 19, 1-9. https://doi.org/10.1186/s12913-019-4288-6

Al-Harajin, R. S., Al-Subaie, S. A., & Elzubair, A. G. (2019). The association between waiting time and patient satisfaction in outpatient clinics: Findings from a tertiary care hospital in Saudi Arabia. Journal of family and community medicine, 26(1), 17-22. https://doi.org/10.4103/jfcm.JFCM_14_18

Al-Neyadi, H. S., Abdallah, S., & Malik, M. (2018). Measuring patient's satisfaction of healthcare services in the UAE hospitals: Using SERVQUAL. International Journal of Healthcare Management, 11(2), 96-105. https://doi.org/10.1080/20479700.2016.1266804

Ataguba, J.E. & McIntyre, D. (2012). Paying for and receiving benefits from health services in South Africa: Is the health system equitable? Health Policy and Planning, 27(1), i35-i45. https://doi.org/10.1093/heapol/czs005

Ataguba, J.E., Day, C. & McIntyre, D. (2015). Explaining the role of social determinants of health-on-health inequality in South Africa. Global Health Action, 8(1). https://doi.org/10.3402/gha.v8.28865

Bergvall, N., Brinck, P., Eek, D., Gustavsson, A., Wimo, A., Winblad, B., & Jönsson, L. (2011). Relative importance of patient disease indicators on informal care and caregiver burden in Alzheimer's disease. International Psychogeriatrics, 23(1), 73-85. https://doi.org/10.1017/S1041610210000785

Biddle, L., Wahedi, K., & Bozorgmehr, K. (2020). Health system resilience: a literature review of empirical research. Health policy and planning, 35(8), 1084-1109. https://doi.org/10.1093/heapol/czaa032

Council for Medical Schemes. (2018). Annual report 2018. Available from: https://www.medicalschemes.com/files/Annual%20Reports/CMSAR2018_19.pdf [Accessed 24 April 2019].

Cutler, D., Skinner, J. S., Stern, A. D., & Wennberg, D. (2019). Physician beliefs and patient preferences: a new look at regional variation in health care spending. American Economic Journal: Economic Policy, 11(1), 192-221. https://doi.org/10.1257/pol.20150421

Department of Health. (2015). White paper: National health insurance policy: Towards universal health coverage. Pretoria: Government Printer.

Fei, L., Lu, J., & Feng, Y. (2020). An extended best-worst multi-criteria decision-making method by belief functions and its applications in hospital service evaluation. Computers & Industrial Engineering, 142, 106355. https://doi.org/10.1016/j.cie.2020.106355

Fischhoff, B., Goitein, B., & Shapira, Z. (2021). The experienced utility of expected utility approaches. In Expectations and actions (pp. 315-339). Routledge. https://doi.org/10.4324/9781003150879-18

Goodwin, N. 2008. National health systems: Overview. London, UK: Elsevier Inc. https://doi.org/10.1016/B978-012373960-5.00311-7

Gray, E. J., & Evangelou, E. (2023). A design utility approach for preferentially sampled spatial data. Journal of the Royal Statistical Society Series C: Applied Statistics, 1-23. https://doi.org/10.1093/jrsssc/qlad040

Helter, T. M., Kaltenboeck, A., Baumgartner, J., Mayrhofer, F., Heinze, G., Sönnichsen, A., ... & Simon, J. (2022). Does the relative importance of the OxCAP-MH's capability items differ according to mental ill-health experience?. Health and Quality of Life Outcomes, 20(1), 99. https://doi.org/10.1186/s12955-022-02009-6

Horan, M. R., Srivastava, D. K., Bhakta, N., Ehrhardt, M. J., Brinkman, T. M., Baker, J. N., ... & Huang, I. C. (2023). Determinants of health-related quality-of-life in adult survivors of childhood cancer: integrating personal and societal values through a health utility approach. Eclinicalmedicine, 58. https://doi.org/10.1016/j.eclinm.2023.101921

Mayosi, B.M., Lawn, J.E., Van Niekerk, A., Bradshaw, D., Karim, S.S.A., Coovadia, H.M. & Lancet South Africa Team (2012). Health in South Africa: Changes and challenges since 2009. The Lancet, 380(9858), 2029-2043. https://doi.org/10.1016/S0140-6736(12)61814-5

McIntyre, D., & Chow, C. K. (2020). Waiting time as an indicator for health services under strain: a narrative review. Inquiry: The Journal of Health Care Organization, Provision, and Financing, 57, 1-15. https://doi.org/10.1177/0046958020910305

McIntyre, D & Van den Heever, A. (2007). Social or national health insurance. In: Harrison, S, Bhana, R & Ntuli, A. eds. South African Health Review. Durban, SA: Health Systems Trust. 71-85.

Mitropoulos, P., Vasileiou, K., & Mitropoulos, I. (2018). Understanding quality and satisfaction in public hospital services: A nationwide inpatient survey in Greece. Journal of Retailing and Consumer Services, 40, 270-275. https://doi.org/10.1016/j.jretconser.2017.03.004

Morgan-Davies, C. & Waterhouse, T. (2010). Future of the hills of Scotland: Stakeholders' preferences for policy priorities. Land Use Policy, 27(2), 387-398. https://doi.org/10.1016/j.landusepol.2009.05.002

Mühlbacher, A. & Johnson, F. R. (2016). Choice experiments to quantify preferences for health and healthcare: state of the practice. Applied health economics and health policy, 14, 253-266. https://doi.org/10.1007/s40258-016-0232-7

National Consultative Health Forum (NCHF) (2012). Lessons for South Africa. National Health Insurance Conference Report, Gallagher Convention Centre, Johannesburg, 7 to 8 December.

National Department of Health (2020). National Health Insurance. Pretoria: Government Printer.

National Department of Health. (2013). Regulating the quality of health services: Benchmarking of approaches, institutions and systems. Towards the establishment of an Office of Health Standards Compliance (OHSC). Available from: http://www.dnaeconomics.com/assets/Usealexconstantinoudnaeconomicscom/OHSC-Regulating-the-Quality-of-Health-Services.pdf [Accessed 4 April 2018].

National Treasury (2020). Estimates of national expenditure 2020. Available from: http://www.treasury.gov.za/documents/National%20Budget/2020/ene/FullENE.pdf [Accessed 8 October 2018].

National Treasury (2019). Budget review 2019. Available from: http://www.treasury.gov.za/documents/national%20budget/2019/review/FullBR.pdf [Accessed 15 September 2018].

Organisation for Economic Co-operation and Development (2014). OECD Health Statistics 2014: How does South Africa compare? Available from: http://www.oecd.org/els/health-systems/Briefing-Note-SOUTH-AFRICA-2014.pdf [Accessed 27 June 2016].

Orme, B. K. (2010). Getting started with conjoint analysis: Strategies for product design and pricing research. Madison, Wisconsin: Research Publishers. 39-50.

Poirier, M. J., Grépin, K. A., & Grignon, M. (2020). Approaches and alternatives to the wealth index to measure socioeconomic status using survey data: a critical interpretive synthesis. Social Indicators Research, 148(1), 1-46. https://doi.org/10.1007/s11205-019-02187-9

Rangasamy, L. (2021). Healthcare price changes and expenditures in South Africa: Some implications for economic policy. Development Southern Africa, 38(4), 607-621. https://doi.org/10.1080/0376835X.2021.1907176

Republic of South Africa (2014). President Jacob Zuma: Launch of Operation Phakisa 2. Available from: https://www.gov.za/address-president-zuma-launch-operation-phakisa-2-ideal-clinic-realisation-and-maintenance-sefako [Accessed 13 August 2019].

Statistics South Africa (2018). Mid-year population estimates 2018. Pretoria: Statistics South Africa.

The Economist (2012). Sad South Africa: Cry, the beloved country. Available from: http://www.economist.com/news/leaders/21564846-south-africa-sliding-downhill-while-much-rest-continent-clawing-its-way-up [Accessed 18 October 2014].

Torkayesh, A. E., Pamucar, D., Ecer, F., & Chatterjee, P. (2021). An integrated BWM-LBWA- CoCoSo framework for evaluation of healthcare sectors in Eastern Europe. Socio- Economic Planning Sciences, 78, 101052. https://doi.org/10.1016/j.seps.2021.101052

Umar, M. I., Adehi, M. U., & Auwal, M. A. (2023). A Systematic Review of Multi-Server Queueing System: A Case of Lengthy Wait Times in Hospital Medical Outpatient Department (OPD). African Journal of Advances in Science and Technology Research, 12(1), 01-17.

World Bank (2019). Data: Gini index. Available from: http://data.worldbank.org/indicator [Accessed 12 March 2015].

World Bank (2012). World development indicators 2012. Washington, DC: World Bank. Available from: https://openknowledge.worldbank.org/handle/10986/6014 [Accessed 23 March 2013].

World Health Organization (2010). World health report: Health systems financing - The path to universal coverage. Geneva: World Health Organization.

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Published

2024-07-21

How to Cite

Gani, S. (2024). An analysis of the relative importance of healthcare services indicators in South Africa: Utilities Analysis Approach. GHMJ (Global Health Management Journal), 7(2), 66–79. https://doi.org/10.35898/ghmj-72983

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