Evidence map›Paper›PMID 24685170›Full record

GuidelineGlobal health action2014

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

Marleen E Hendriks, Piyali Kundu, Alexander C Boers, Oladimeji A Bolarinwa, Mark J Te Pas, Tanimola M Akande, Kayode Agbede, Gabriella B Gomez, William K Redekop, Constance Schultsz and 1 more

Abstract readGuideline
In one paragraph

Guideline in Global health action, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Marleen E HendriksDepartment of Global Health, Academic Medical Center, Amsterdam Institute for Global Health and Development, University of Amsterdam, Amsterdam, The Netherlands; m.hendriks@aighd.org.
Piyali KunduInstitute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Alexander C BoersDepartment of Global Health, Academic Medical Center, Amsterdam Institute for Global Health and Development, University of Amsterdam, Amsterdam, The Netherlands.
Oladimeji A BolarinwaDepartment of Epidemiology and Community Health, University of Ilorin Teaching Hospital, Ilorin, Nigeria.
Mark J Te PasDepartment of Global Health, Academic Medical Center, Amsterdam Institute for Global Health and Development, University of Amsterdam, Amsterdam, The Netherlands.
Tanimola M AkandeDepartment of Epidemiology and Community Health, University of Ilorin Teaching Hospital, Ilorin, Nigeria.
Kayode AgbedeOgo Oluwa Hospital, Bacita, Nigeria.
Gabriella B GomezDepartment of Global Health, Academic Medical Center, Amsterdam Institute for Global Health and Development, University of Amsterdam, Amsterdam, The Netherlands.
William K RedekopInstitute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Constance SchultszDepartment of Global Health, Academic Medical Center, Amsterdam Institute for Global Health and Development, University of Amsterdam, Amsterdam, The Netherlands.
Siok Swan TanInstitute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisease-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).

objectiveTo 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.

designThe 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.

resultsWe 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.

conclusionsAn 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.

Indexed as

Developing CountriesDiseaseHealth Care CostsCardiovascular DiseasesCost-Benefit AnalysisHumansNigeriaUncertaintycost of illnessdeveloping countrieseconomic evaluationglobal healthhealthcare costsmethodologymicro-costingsub-Saharan Africa

Identifiers

PMID24685170
PMCPMC3970035

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.