Step-by-step guideline for disease-specific costing studies in low- and middle-income countries: a mixed methodology.

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.Please provide the significance of asterisk given in table body. 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 disease-specific cost analyses.

journal_name

Glob Health Action

journal_title

Global health action

authors

Hendriks ME,Kundu P,Boers AC,Bolarinwa OA,Te Pas MJ,Akande TM,Agbede K,Gomez GB,Redekop WK,Schultsz C,Swan Tan S

doi

10.3402/gha.v7.23573

subject

Has Abstract

pub_date

2014-03-28 00:00:00

pages

23573

eissn

1654-9716

issn

1654-9880

pii

23573

journal_volume

7

pub_type

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