Evidence map›Paper›PMID 24343573›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2014

Standardizing economic analysis in prevention will require substantial effort.

Max Guyll

Abstract readLetterComment
PubMed Publisher
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Max GuyllDepartment of Psychology, Iowa State University, W112 Lagomarcino, Ames, IA, 50011-3180, USA, guyll@iastate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is exceedingly difficult to compare results of economic analyses across studies due to variations in assumptions, methodology, and outcome measures, a fact which surely decreases the impact and usefulness of prevention-related economic research. Therefore, Crowley et al. (Prevention Science, 2013) are precisely correct in their call for increased standardization and have usefully highlighted the issues that must be addressed. However, having made the need clear, the questions become what form the solution should take, and how should it be implemented. The present discussion outlines the rudiments of a comprehensive framework for promoting standardized methodology in the estimation of economic outcomes, as encouraged by Crowley et al. In short, a single, standard, reference case approach should be clearly articulated, and all economic research should be encouraged to apply that standard approach, with results from compliant analyses being reported in a central archive. Properly done, the process would increase the ability of those without specialized training to contribute to the body of economic research pertaining to prevention, and the most difficult tasks of predicting and monetizing distal outcomes would be readily completed through predetermined models. These recommendations might be viewed as somewhat forcible, insomuch as they advocate for prescribing the details of a standard methodology and establishing a means of verifying compliance. However, it is unclear that the best practices proposed by Crowley et al. will be widely adopted in the absence of a strong and determined approach.

Indexed as

Biomedical ResearchCost-Benefit AnalysisHumansPreventive Medicine

Identifiers

What OpenQuestion holds

Textmetadata
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.