Evidence map›Paper›PMID 35829927›Full record

ArticleThe patient2022

Methods to Summarize Discrete-Choice Experiments in a Systematic Review: A Scoping Review.

Daksh Choudhary, Megan Thomas, Kevin Pacheco-Barrios, Yuan Zhang, Pablo Alonso-Coello, Holger Schünemann, Glen Hazlewood

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in The patient, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
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

7 authors.

Daksh ChoudharyDepartment of Medicine, University of Calgary, Calgary, AB, Canada.
Megan ThomasDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.
Kevin Pacheco-BarriosNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Boston, MA, USA.
Yuan ZhangDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
Pablo Alonso-CoelloInstituto de Investigación Biomédica (IIB Sant Pau), Centro Cochrane Iberoamericano, Barcelona, Spain.
Holger SchünemannDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
Glen HazlewoodDepartment of Medicine, University of Calgary, Calgary, AB, Canada. gshazlew@ucalgary.ca.ORCID 0000-0001-7709-3741

Funding

CIHR
6 · The paper itself

Abstract

BACKGROUND AND

objectiveSystematic reviews of discrete-choice experiments (DCEs) are being increasingly conducted. The objective of this scoping review was to identify and describe the methodologies that have been used to summarize results across DCEs.

methodsWe searched the electronic databases MEDLINE and EMBASE from inception to March 18, 2021, to identify English-language systematic reviews of patient preferences that included at least two DCEs and extracted data on attribute importance. The methods used to summarize results across DCEs were classified into narrative, semi-quantitative, and quantitative (meta-analytic) approaches and compared. Approaches to characterize the extent of preference heterogeneity were also described.

resultsFrom 7362 unique records, we identified 54 eligible reviews from 2010 to Mar 2021, across a broad range of health conditions. Most (83%) used a narrative approach to summarize findings of DCEs, often citing differences in studies as the reason for not formally pooling findings. Semi-quantitative approaches included summarizing the frequency of the most important attributes, the frequency of attribute statistical significance, or tabulated comparisons of attribute importance for each pair of attributes. One review conducted a meta-analysis using the maximum acceptable risk. While reviews often commented on the heterogeneity of patient preferences, few (6%) addressed this systematically across studies.

conclusionWhile not commonly used, several semi-quantitative and one quantitative approach for synthesizing results of DCEs were identified, which may be useful for generating summary estimates across DCEs when appropriate. Further work is needed to assess the validity and usefulness of these approaches.

Indexed as

Choice BehaviorPatient PreferenceHumansResearch DesignSystematic Reviews as Topic

Identifiers

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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.