Evidence map›Paper›PMID 33268411›Full record

ArticleBMJ open2020

Methods for estimating economic benefits of surgical interventions in low-income and middle-income countries: a scoping review.

Amy Hilla, Victoria Reese, Justice Nonvignon, Carrie B Dolan

Abstract readScoping Review
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Amy HillaEconomics, William & Mary, Williamsburg, Virginia, USA.
Victoria ReeseApplied Math and Economics, William & Mary, Williamsburg, Virginia, USA.
Justice NonvignonHealth Policy, Planning, and Management, University of Ghana, Legon, Ghana.
Carrie B DolanHealth Sciences, William & Mary, Williamsburg, Virginia, USA cbdolan@wm.edu.ORCID 0000-0002-4445-7075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesStudies indicate that many types of surgical care are cost-effective compared with other health interventions in low-income and middle-income countries (LMICs). However, global health investments to support these interventions remain limited. This study undertakes a scoping review of research on the economic impact of surgical interventions in LMICs to determine the methodologies used in measuring economic benefits.

designThe Arksey and O'Malley methodological framework for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews checklist were used to review the data systematically. Online databases were used to identify papers published between 2005 and 2020, from which we selected 19 publications that quantitatively examined the economic benefits of surgical interventions in LMICs.

resultsMajority of publications (79%) reported the use of disability-adjusted life-years (DALYs) to assess economic impact. In comparison, 21% used other measures, such as the value of statistical life or cost-effectiveness ratios, or no measure at all. 31% were systematic or retrospective reviews of the literature on surgical procedures in LMICs, while 69% either directly assessed economic impact in a specific area or evaluated the need for surgical procedures in LMICs. All studies reviewed related to the economic impact of surgical procedures in LMICs, with most about paediatric surgical procedures or a specific surgical specialty.

conclusionTo make informed policy decisions regarding global health investments, the economic impact must be accurately measured. Researchers employ a range of techniques to quantify the economic benefit of surgeries in LMICs, which limits understanding of overall economic value. We conclude that the literature would benefit from a careful selection of methods, incorporating age and disability weights based on the Global Burden of Disease weights, and converting DALYs to dollars using the value of statistical life approach and the human capital approach, reporting both estimates.

Indexed as

Developing CountriesPovertyChildCost-Benefit AnalysisHumansQuality-Adjusted Life YearsRetrospective Studieshealth economicspublic healthsurgery

Identifiers

PMID33268411
PMCPMC7713224

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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.