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