Cost-Effectiveness Analysis of a Community Emergency Transport System for Maternal Care in Northern Ghana

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DOI: 10.21522/TIJAR.2014.10.04.Art005

Authors : Winfred Komla Ofosu, Benjamin Ahenkorah, Patrick Opoku Asuming, Maxwell A. Dalaba, James Akazili, Theresa Awiah

Abstract:

Maternal mortality is a function of economic underdevelopment. Obstetric complications are the major cause of maternal mortality. Early detection, rapid transportation and prompt care utilizing Emergency Obstetric and Newborn Care (EmONC) can help end preventable maternal mortality. However, poor referral transportation limits utilization of lifesaving EmONC in least developed countries. Korea International Cooperation Agency supported Ghana to implement a 5-year Primary Health Care project in Upper East region in 2016. This project had a Community Emergency Transport System (CETS) component. CETS was implemented using customized ‘motorking’ tricycle ambulances to strengthen maternal referral transportation. We conducted cost-effectiveness analysis to determine CETS’ value-for-money (VfM). The incremental cost-effectiveness ratio (ICER) and incremental net-benefit (INB) were estimated. The study perspective was societal. The comparator was traditional transportation system (TTS). The cost-effectiveness threshold was Ghana’s GDP for 2020 (USD2,254.15/GH₵11,045.34). The study respondents were women with pregnancy experience in 2020 within the project area who utilize a referral transport. Respondents were randomly selected from CETS and TTS areas. Primary and secondary data were collected at households and health facilities respectively. Data was analyzed with STATA 15.0. The ICER computed was GH₵559.69 (USD114.22). CETS was deemed cost-effective because ICER was below the cost-effectiveness threshold. The net-benefit was GH₵31,456.96 (USD6,419.79). The INB was less than zero (-2002.61) implying CETS was not cost-effective. There was a conflict between ICER and INB on VfM of CETS. Affordability should be considered in Policy adoption.

Keywords: Community emergency transport system, Cost-effectiveness, Ending preventable maternal mortality, Northern Ghana, Traditional transport system.

References:

[1] World Bank Group., 2021, Lifetime risk of maternal death. Accessed from: https://data.worldbank.org/indicator/SH.MMR.RISK.

[2] Bhandan, T. R., & Dangal, G., 2014, Emergency obstetric care: strategy for reducing maternal mortality in developing countries. NJOG 2014 Jan-Jun, 17(1): 8-16. Available from: https://clacaidigital.info/handle/123456789/627.

[3] Friedman, H. S., Liang, M., & Banks, J. L., 2015, Measuring the cost-effectiveness of midwife-led versus physician-led intrapartum team in developing countries. Womens Health 11(14), 553-564.

[4] Souza, J. P., Widmer, M., Gülmezoglu, A. M. et al., 2014, Maternal and perinatal health research priorities beyond 2015: an international survey and prioritization exercise. Reprod Health 11, 61. Available from: https://reproductive-health-journal.biomedcentral.com/articles/10.1186/1742-4755-11-61.

[5] World Health Organization, 2021, Maternal mortality: Key facts. Available from: https://www.who.int/news-room/fact-sheets/detail/maternal-mortality.

[6] World Health Organization (2021). Ending preventable maternal mortality (EPMM): a renewed focus for improving maternal and newborn health and well-being. Accessed from: https://apps.who.int/iris/rest/bitstreams/1402039/retrieve.

[7] Ghana Statistical Service (GSS), Ghana Health Service (GHS) and ICF, 2018, Ghana Maternal Health Survey 2017. Accra, Ghana: GSS, GHS and ICF.

[8] Kalisa, R., Muriithi, M. K., Bijlmakers, L., Van den Akker, T., & Van Roosmalen, 2020, Cost-Effectiveness of Emergency Obstetric Care in Rural Kenya: Comparing ambulance transfer and self-referral. Available from: https://www.researchgate.net/publication/342016748_Cost-Effectiveness_of_Emergency_Obstetric_Care_in_rural_Kenya_Comparing_Ambulance_Transfer_and_Self-referral.

[9] Munjanja, S. P., Magure, T., & Kandawasvika, (2012). Geographical Access, Transport and Referral Systems. Chapter 11: Maternal and perinatal health in developing Countries; CAB International 2012. Authours: Julia Hussein, Affette M. McCaw-Binns and Roger webber. ISBN-13: 978-1845937454; ISBN-10: 1845937457.

[10] UNFPA, 2012, Providing emergency obstetric and newborn care. Available from: https://www.unfpa.org/sites/default/files/resource-pdf/EN-SRH%20fact%20sheet--Urgent.pdf.

[11] Thaddeus, S., & Maine, D., 1994, Too far to walk: Maternal mortality in context. Soc. Sci. Med. 38 (8) 1091-1110. Available from: https://www.sciencedirect.com/science/article/abs/pii/0277953694902267.

[12] Accorsi, S., Somigliana, E., Solomon, H., Ademe, T., Woldegebriel, J., Almaz, B. et al., 2017, Cost-effectiveness of an ambulance-based referral system for emergency obstetrical and neonatal care in rural Ethiopia. BMC Pregnancy and Childbirth, 17:220. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PM5506594/.

[13] Ministry of Health, Ghana, 2016, National community-based health planning and services (CHPS). Available from: https://www.moh.gov.gh>uploads>2016/02.

[14] Ghana Health Service and KOICA Ghana Office, 2016, Protocol on project for improving community-based primary health care through CHPS strengthening (CHPS+) in the UER of Ghana. Unpublished.

[15] Regional Health Directorate, Upper East, 2019, Regional Health Service Annual Report. Unpublished.

[16] Israel, G.D., 1992, Determining Sample size. University of Florida; IFAS extension. Available from: https://www.tarleton.edu/academicassessment/documents/samplesize.pdf.

[17] Tura, A. K., Stekelenburg, J., Scherjon, S. A., Zwart, J., Van den Akker, T., Van Roosmalen, J., & Gordijn, S., 2017, Adaptation of the WHO maternal near miss tool for use in sub-saharan Africa: an international delphi study. BMC Pregnancy and Childbirth (17):445. Available from: https://doi.org/10.1186/s12884-017-1640-x.

[18] Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W., 2015, Methods for the Economic Evaluation of Health Care Programmes. Fourth Edition. Oxford, New York: Oxford University Press.

[19] Dalaba, M. A., Akweongo, P., Aborigo, R. A., Happiness Pius Saronga, H. P., Williams, J., Blank, A., Kaltschmidt, J., Sauerborn, R., & Loukanova, S., 2015, Cost-Effectiveness of Clinical Decision Support System in Improving Maternal Health Care in Ghana. PLOS ONE 10 (5): e0125920. Available from: https://doi.org/10.1371/journal.pone.0125920.

[20] Dalaba, M. A., Welaga, P., & Matsubara, C. (2017). “Cost of Delivering Health Care Services at Primary Health Facilities in Ghana.” BMC Health Services Research 17 (1): 742. https://doi.org/10.1186/s12913-017-2676-3.

[21] “Cumulativepresentvaluetable.Pdf.”, n.d., Accessed from: https://www.cimaglobal.com/Documents/Student%20docs/2018/CS%20resources/Tables%20and%20formulae%20in%20exams/cumulativepresentvaluetable.pdf.

[22] World Bank., 2022, “GDP per Capita (Current US$) - Ghana | Data.” 2022.

[23] Tan-Torres Edeger, T., Baltussen, R., Adam, T., Hutubessy, T., Raymond, R., Acharya, A., Evans, D. B., & Murray, C. J. L., World Health Organization., 2003, Making choices in health: WHO guide to cost-effectiveness analysis. Accessed from https://apps.who.int/iris/handle/10665/42699.

[24] Hoch, J. S., Briggs, A. H., & Willan, A. R., 2002, Something old, something new, something borrowed, something blue: a framework for marriage of health econometrics and cost-effectiveness analysis. Health Econ. 11: 415-430. Accessed from: https://www.canadiancentreforhealtheconomics.ca/wp-content/uploads/2016/03/something-old-something-new.pdf.

[25] Vanden Broek, N.R., White, S.A., Ntonya, C., Ngwale, M., Cullinan, T.R., Molyneux, M.E. & Neilson, J.P., 2003, Reproductive health in rural Malawi: A population-based survey. British journal of Obstetrics and Gynaecology 110, 902-908.

[26] Tolesa, D., Abera, N., Worku, M., & Wassihun, B., 2021, Prevalence and Associated Factors with Maternal Near-Miss among Pregnant Women at Hawassa University Comprehensive Specialized Hospital, Sidama Region, Ethiopia. Int J Womens Health Wellness 7 (2):127. Accessed from: https://doi.org/10.23937/2474-1353/1510127.

[27] Geleto, A., Chojenta, C., Taddele, T. & Loxton, D., 2020, Incidence of maternal near miss among women in labour admitted to hospitals in Ethiopia. Midwifery 82; 102597. Accessed from: https://doi.org/10.1016/j.midw.2019.102597.

[28] Unicef, n. d., Figure 2.7 national Gini index, 2003-2007; Chapter 2 Economic and social development. Accessed from https://www.unicef.cn/en/figure-27-national-gini-index-20032017#:~:text=Although%20there%20are%20no%20internalltionally,high%20income%20disparity%2C%20above%200.5.

[29] Glen, S., n.d.,”Coefficient of determination (R squared): Definition, calculation” from statisticsHowTo.com: Elementary statistics for the rest of us! Accessed from: https://www.statisticshowto.com/probability-and-statistics/coefficient-of-determination-r-squared/.

[30] Chicco, D., Warrrns, M.J., & Jurman, G., 2021, The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. Peer J Comput Sci. 7: e623. Accessed from: https://doi:10.7717/peerj-cs.623.

[31] Bae, S. J., Lee, J., & Bae, E-Y., 2022, How sensitive is sensitivity analysis? Evaluation of pharmacoeconomic submissions in Korea. Front Pharmacol, 13: 884769. Accessed from: https://doi:10.3389/fphar.2022.884769.

[32] Banke-Thomas, A., Madaj, B., Kumar, S., Ameh, C., and Broek, N. V. D., 2017, Assessing value-for-money in maternal and newborn health. BMJ Glob Health; 2: e000310. Available from: https://gh.bmj.com/content/bmjgh/2/2/e000310.full.pdf.

[33] Hounton, S., & Newlands, D., 2012, Applying the net-benefit framework for analyzing and presenting cost-effectiveness analysis of maternal and newborn health intervention. PLOS ONE 7(7): e40995. Accessed from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0040995.

[34] Hoch, J.S., & Dewa, C. S., 2014, Advantages of the net benefit regression framework for economic evaluations of interventions in the workplace: a case study of the cost-effectiveness of a collaborative mental health care program for people receiving short-term disability benefits for psychiatric disorders. Journal of Occupational and Environmental Medicine (JOEM) 56 (4). Accessed from: https://doi:10.1097/JOM.0000000000000130.

[35] Hoch, J. S., Hay, A., Isaranuwatchai, W., Thavorn, K., Leighl, N. B., Tu, D, Trenaman, L., et al., 2019, Advantages of the net benefit regression framework for trial-based economic evaluations of cancer treatment: an example from the Canadian Cancer Trials Group CO.17 trial. BMC Cancer 19:552. Accessed from: https://doi.org/10.1186/s12885-019-5779-x.

[36] Härkänen, T., Maljanen, T., Lindfors, O., Virtala, E. & Knekt, P., 2013, Confounding and missing data in cost-effectiveness analysis: comparing different methods. Health Econ Rev 3(8). https://doi.org/10.1186/2191-1991-3-8.


[37] McFarlane, P. A. & Bayoumi, A. M., 2020, Acceptance and rejection: cost-effectiveness and the working nephrologist. Perspectives in renal medicine, 66 (5) 1735-1741. Accessed from: https://doi.org/10.1111/j.1523-1755.2004.00950.x.

[38] Hoch, J. S., 2009, Improving efficiency and value in palliative care with Net Benefit Regression: an introduction to a simple method for cost-effectiveness analysis with person level data. J of pain and symp management, 38 (1) 54-61. Accessed from: https://www.sciencedirect.com/science/article/pii/S0885392409004990.

[39] Shillcutt, S. D., LeFevre, A. E., Fisher-Walker, C. L., Taneja, S., Black, R. E. & Mazumder, S., 2017, Cost-effectiveness of the diarrhoea alleviation through zinc and oral rehydration therapy (DAZT) program in rural Gujarat India: an application of net-benefit regression framework. Cost Eff Resour Alloc 15, 9. Accessed from: https://link.springer.com/article/10.1186/s12962-017-0070-y#citas.

[40] Paulden, M., 2020, Why it’s time to abandon the ICER. PharmacoEconomics 38:781-984. Accessed from: https://doi.org/10.1007/s40273-020-00915-5.