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Development and use of a content search strategy for retrieving studies on patients' views and preferences
BACKGROUND: Identifying 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. METHODS: W...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576198/ https://www.ncbi.nlm.nih.gov/pubmed/28851437 http://dx.doi.org/10.1186/s12955-017-0698-5 |
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author | Selva, Anna Solà, Ivan Zhang, Yuan Pardo-Hernandez, Hector Haynes, R. Brian Martínez García, Laura Navarro, Tamara Schünemann, Holger Alonso-Coello, Pablo |
author_facet | Selva, Anna Solà, Ivan Zhang, Yuan Pardo-Hernandez, Hector Haynes, R. Brian Martínez García, Laura Navarro, Tamara Schünemann, Holger Alonso-Coello, Pablo |
author_sort | Selva, Anna |
collection | PubMed |
description | BACKGROUND: Identifying 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. METHODS: We 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). RESULTS: We 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. CONCLUSIONS: This 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12955-017-0698-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5576198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55761982017-08-30 Development and use of a content search strategy for retrieving studies on patients' views and preferences Selva, Anna Solà, Ivan Zhang, Yuan Pardo-Hernandez, Hector Haynes, R. Brian Martínez García, Laura Navarro, Tamara Schünemann, Holger Alonso-Coello, Pablo Health Qual Life Outcomes Research BACKGROUND: Identifying 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. METHODS: We 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). RESULTS: We 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. CONCLUSIONS: This 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12955-017-0698-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-30 /pmc/articles/PMC5576198/ /pubmed/28851437 http://dx.doi.org/10.1186/s12955-017-0698-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Selva, Anna Solà, Ivan Zhang, Yuan Pardo-Hernandez, Hector Haynes, R. Brian Martínez García, Laura Navarro, Tamara Schünemann, Holger Alonso-Coello, Pablo Development and use of a content search strategy for retrieving studies on patients' views and preferences |
title | Development and use of a content search strategy for retrieving studies on patients' views and preferences |
title_full | Development and use of a content search strategy for retrieving studies on patients' views and preferences |
title_fullStr | Development and use of a content search strategy for retrieving studies on patients' views and preferences |
title_full_unstemmed | Development and use of a content search strategy for retrieving studies on patients' views and preferences |
title_short | Development and use of a content search strategy for retrieving studies on patients' views and preferences |
title_sort | development and use of a content search strategy for retrieving studies on patients' views and preferences |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576198/ https://www.ncbi.nlm.nih.gov/pubmed/28851437 http://dx.doi.org/10.1186/s12955-017-0698-5 |
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