Please use this identifier to cite or link to this item: https://doi.org/10.3402/gha.v7.23573
Title: Step-by-step guideline for disease-specific costing studies in low- and middle-income countries: A mixed methodology
Authors: Hendriks, M.E
Kundu, P
Boers, A.C
Bolarinwa, O.A
te Pas, M.J
Akande, T.M
Agbede, K
Gomez, G.B
Redekop, W.K 
Schultsz, C
Tan, S.S
Keywords: article
cardiovascular disease
cost benefit analysis
cost of illness
developing country
diseases
economic evaluation
economics
global health
health care cost
healthcare costs
human
methodology
micro-costing
Nigeria
statistics
sub-Saharan Africa
uncertainty
cost of illness
developing countries
economic evaluation
global health
healthcare costs
methodology
micro-costing
sub-Saharan Africa
Cardiovascular Diseases
Cost-Benefit Analysis
Developing Countries
Disease
Health Care Costs
Humans
Nigeria
Uncertainty
Issue Date: 2014
Citation: Hendriks, M.E, Kundu, P, Boers, A.C, Bolarinwa, O.A, te Pas, M.J, Akande, T.M, Agbede, K, Gomez, G.B, Redekop, W.K, Schultsz, C, Tan, S.S (2014). Step-by-step guideline for disease-specific costing studies in low- and middle-income countries: A mixed methodology. Global Health Action 7 (1) : 23573. ScholarBank@NUS Repository. https://doi.org/10.3402/gha.v7.23573
Rights: Attribution 4.0 International
Abstract: Background: Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information for efficient resource allocation. However, limited data availability and limited expertise constrain such studies in low- and middle-income countries (LMICs). Objective: To describe a step-by-step guideline for conducting disease-specific costing studies in LMICs where data availability is limited and to illustrate how the guideline was applied in a costing study of cardiovascular disease prevention care in rural Nigeria. Design: The step-by-step guideline provides practical recommendations on methods and data requirements for six sequential steps: 1) definition of the study perspective, 2) characterization of the unit of analysis, 3) identification of cost items, 4) measurement of cost items, 5) valuation of cost items, and 6) uncertainty analyses. Results: We discuss the necessary tradeoffs between the accuracy of estimates and data availability constraints at each step and illustrate how a mixed methodology of accurate bottom-up micro-costing and more feasible approaches can be used to make optimal use of all available data. An illustrative example from Nigeria is provided. Conclusions: An innovative, user-friendly guideline for disease-specific costing in LMICs is presented, using a mixed methodology to account for limited data availability. The illustrative example showed that the step-by-step guideline can be used by healthcare professionals in LMICs to conduct feasible and accurate diseasespecific cost analyses. © 2014 Marleen E. Hendriks et al.
Source Title: Global Health Action
URI: https://scholarbank.nus.edu.sg/handle/10635/181533
ISSN: 16549880
DOI: 10.3402/gha.v7.23573
Rights: Attribution 4.0 International
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