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Identifying quality improvement intervention publications - A comparison of electronic search strategies

BACKGROUND: The evidence base for quality improvement (QI) interventions is expanding rapidly. The diversity of the initiatives and the inconsistency in labeling these as QI interventions makes it challenging for researchers, policymakers, and QI practitioners to access the literature systematically...

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Detalles Bibliográficos
Autores principales: Hempel, Susanne, Rubenstein, Lisa V, Shanman, Roberta M, Foy, Robbie, Golder, Su, Danz, Marjorie, Shekelle, Paul G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170235/
https://www.ncbi.nlm.nih.gov/pubmed/21806808
http://dx.doi.org/10.1186/1748-5908-6-85
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author Hempel, Susanne
Rubenstein, Lisa V
Shanman, Roberta M
Foy, Robbie
Golder, Su
Danz, Marjorie
Shekelle, Paul G
author_facet Hempel, Susanne
Rubenstein, Lisa V
Shanman, Roberta M
Foy, Robbie
Golder, Su
Danz, Marjorie
Shekelle, Paul G
author_sort Hempel, Susanne
collection PubMed
description BACKGROUND: The evidence base for quality improvement (QI) interventions is expanding rapidly. The diversity of the initiatives and the inconsistency in labeling these as QI interventions makes it challenging for researchers, policymakers, and QI practitioners to access the literature systematically and to identify relevant publications. METHODS: We evaluated search strategies developed for MEDLINE (Ovid) and PubMed based on free text words, Medical subject headings (MeSH), QI intervention components, continuous quality improvement (CQI) methods, and combinations of the strategies. Three sets of pertinent QI intervention publications were used for validation. Two independent expert reviewers screened publications for relevance. We compared the yield, recall rate, and precision of the search strategies for the identification of QI publications and for a subset of empirical studies on effects of QI interventions. RESULTS: The search yields ranged from 2,221 to 216,167 publications. Mean recall rates for reference publications ranged from 5% to 53% for strategies with yields of 50,000 publications or fewer. The 'best case' strategy, a simple text word search with high face validity ('quality' AND 'improv*' AND 'intervention*') identified 44%, 24%, and 62% of influential intervention articles selected by Agency for Healthcare Research and Quality (AHRQ) experts, a set of exemplar articles provided by members of the Standards for Quality Improvement Reporting Excellence (SQUIRE) group, and a sample from the Cochrane Effective Practice and Organization of Care Group (EPOC) register of studies, respectively. We applied the search strategy to a PubMed search for articles published in 10 pertinent journals in a three-year period which retrieved 183 publications. Among these, 67% were deemed relevant to QI by at least one of two independent raters. Forty percent were classified as empirical studies reporting on a QI intervention. CONCLUSIONS: The presented search terms and operating characteristics can be used to guide the identification of QI intervention publications. Even with extensive iterative development, we achieved only moderate recall rates of reference publications. Consensus development on QI reporting and initiatives to develop QI-relevant MeSH terms are urgently needed.
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spelling pubmed-31702352011-09-10 Identifying quality improvement intervention publications - A comparison of electronic search strategies Hempel, Susanne Rubenstein, Lisa V Shanman, Roberta M Foy, Robbie Golder, Su Danz, Marjorie Shekelle, Paul G Implement Sci Research BACKGROUND: The evidence base for quality improvement (QI) interventions is expanding rapidly. The diversity of the initiatives and the inconsistency in labeling these as QI interventions makes it challenging for researchers, policymakers, and QI practitioners to access the literature systematically and to identify relevant publications. METHODS: We evaluated search strategies developed for MEDLINE (Ovid) and PubMed based on free text words, Medical subject headings (MeSH), QI intervention components, continuous quality improvement (CQI) methods, and combinations of the strategies. Three sets of pertinent QI intervention publications were used for validation. Two independent expert reviewers screened publications for relevance. We compared the yield, recall rate, and precision of the search strategies for the identification of QI publications and for a subset of empirical studies on effects of QI interventions. RESULTS: The search yields ranged from 2,221 to 216,167 publications. Mean recall rates for reference publications ranged from 5% to 53% for strategies with yields of 50,000 publications or fewer. The 'best case' strategy, a simple text word search with high face validity ('quality' AND 'improv*' AND 'intervention*') identified 44%, 24%, and 62% of influential intervention articles selected by Agency for Healthcare Research and Quality (AHRQ) experts, a set of exemplar articles provided by members of the Standards for Quality Improvement Reporting Excellence (SQUIRE) group, and a sample from the Cochrane Effective Practice and Organization of Care Group (EPOC) register of studies, respectively. We applied the search strategy to a PubMed search for articles published in 10 pertinent journals in a three-year period which retrieved 183 publications. Among these, 67% were deemed relevant to QI by at least one of two independent raters. Forty percent were classified as empirical studies reporting on a QI intervention. CONCLUSIONS: The presented search terms and operating characteristics can be used to guide the identification of QI intervention publications. Even with extensive iterative development, we achieved only moderate recall rates of reference publications. Consensus development on QI reporting and initiatives to develop QI-relevant MeSH terms are urgently needed. BioMed Central 2011-08-01 /pmc/articles/PMC3170235/ /pubmed/21806808 http://dx.doi.org/10.1186/1748-5908-6-85 Text en Copyright ©2011 Hempel et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Hempel, Susanne
Rubenstein, Lisa V
Shanman, Roberta M
Foy, Robbie
Golder, Su
Danz, Marjorie
Shekelle, Paul G
Identifying quality improvement intervention publications - A comparison of electronic search strategies
title Identifying quality improvement intervention publications - A comparison of electronic search strategies
title_full Identifying quality improvement intervention publications - A comparison of electronic search strategies
title_fullStr Identifying quality improvement intervention publications - A comparison of electronic search strategies
title_full_unstemmed Identifying quality improvement intervention publications - A comparison of electronic search strategies
title_short Identifying quality improvement intervention publications - A comparison of electronic search strategies
title_sort identifying quality improvement intervention publications - a comparison of electronic search strategies
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170235/
https://www.ncbi.nlm.nih.gov/pubmed/21806808
http://dx.doi.org/10.1186/1748-5908-6-85
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