Evidence map›Paper›PMID 26786617›Full record

ArticleHealth economics2016

Incorporating Demand and Supply Constraints into Economic Evaluations in Low-Income and Middle-Income Countries.

Anna Vassall, Lindsay Mangham-Jefferies, Gabriela B Gomez, Catherine Pitt, Nicola Foster

Abstract read
In one paragraph

Article in Health economics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Cost of TB services in healthcare facilities in Kenya (No 3).The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
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  19. Informing Balanced Investment in Services and Health Systems: A Case Study of Priority Setting for Tuberculosis Interventions in South Africa.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
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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

5 authors.

Anna VassallDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK.
Lindsay Mangham-JefferiesDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK.
Gabriela B GomezDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK.
Catherine PittDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK.
Nicola FosterHealth Economics Unit, School of Public Health and Family Medicine, University of Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global guidelines for new technologies are based on cost and efficacy data from a limited number of trial locations. Country-level decision makers need to consider whether cost-effectiveness analysis used to inform global guidelines are sufficient for their situation or whether to use models that adjust cost-effectiveness results taking into account setting-specific epidemiological and cost heterogeneity. However, demand and supply constraints will also impact cost-effectiveness by influencing the standard of care and the use and implementation of any new technology. These constraints may also vary substantially by setting. We present two case studies of economic evaluations of the introduction of new diagnostics for malaria and tuberculosis control. These case studies are used to analyse how the scope of economic evaluations of each technology expanded to account for and then address demand and supply constraints over time. We use these case studies to inform a conceptual framework that can be used to explore the characteristics of intervention complexity and the influence of demand and supply constraints. Finally, we describe a number of feasible steps that researchers who wish to apply our framework in cost-effectiveness analyses.

Indexed as

Health Care CostsCost-Benefit AnalysisDecision MakingDeveloping CountriesEconomics, MedicalHealth Services Needs and DemandHealth Services ResearchHumansModels, EconomicTechnology Assessment, Biomedicaldemandeconomic evaluationhealth systemhealth technology assessment

Identifiers

PMID26786617
PMCPMC5042074

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.