Evidence map›Paper›PMID 28851437›Full record

ArticleHealth and quality of life outcomes2017

Development and use of a content search strategy for retrieving studies on patients' views and preferences.

Anna Selva, Ivan Solà, Yuan Zhang, Hector Pardo-Hernandez, R Brian Haynes, Laura Martínez García, Tamara Navarro, Holger Schünemann, Pablo Alonso-Coello

Abstract readValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 20 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 20 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

43 citing papers in PubMed, 20 syntheses or guidelines pooled it.

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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

9 authors.

Anna SelvaClinical Epidemiology and Cancer Screening, Corporació Sanitària Parc Taulí, Parc Taulí, 1, Edifici Santa Fe, planta baixa. 08208 Sabadell, Barcelona, Spain. annaolid@gmail.com.
Ivan SolàIberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.
Yuan ZhangDepartment of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, ON, Canada.
Hector Pardo-HernandezIberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.
R Brian HaynesDepartment of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, ON, Canada.
Laura Martínez GarcíaIberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.
Tamara NavarroDepartment of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, ON, Canada.
Holger SchünemannDepartment of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, ON, Canada.
Pablo Alonso-CoelloIberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain. palonso@santpau.cat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying scientific literature addressing patients' views and preferences is complex due to the wide range of studies that can be informative and the poor indexing of this evidence. Given the lack of guidance we developed a search strategy to retrieve this type of evidence.

methodsWe assembled an initial list of terms from several sources, including the revision of the terms and indexing of topic-related studies and, methods research literature, and other relevant projects and systematic reviews. We used the relative recall approach, evaluating the capacity of the designed search strategy for retrieving studies included in relevant systematic reviews for the topic. We implemented in practice the final version of the search strategy for conducting systematic reviews and guidelines, and calculated search's precision and the number of references needed to read (NNR).

resultsWe assembled an initial version of the search strategy, which had a relative recall of 87.4% (yield of 132/out of 151 studies). We then added some additional terms from the studies not initially identified, and re-tested this improved version against the studies included in a new set of systematic reviews, reaching a relative recall of 85.8% (151/out of 176 studies, 95% CI 79.9 to 90.2). This final version of the strategy includes two sets of terms related with two domains: "Patient Preferences and Decision Making" and "Health State Utilities Values". When we used the search strategy for the development of systematic reviews and clinical guidelines we obtained low precision values (ranging from 2% to 5%), and the NNR from 20 to 50.

conclusionsThis search strategy fills an important research gap in this field. It will help systematic reviewers, clinical guideline developers, and policy-makers to retrieve published research on patients' views and preferences. In turn, this will facilitate the inclusion of this critical aspect when formulating heath care decisions, including recommendations.

Indexed as

Decision MakingPatient PreferenceHumansReview Literature as TopicDecision-makingInformation storage and retrievalPatient preferenceSearch engineTerminology as topic

Identifiers

PMID28851437
PMCPMC5576198

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.