Retrieval of publications addressing shared decision making: an evaluation of full-text searches on medical journal websites.

Détails

Ressource 1Télécharger: BIB_7EBE5D5F6D1B.P001.pdf (713.43 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_7EBE5D5F6D1B
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Retrieval of publications addressing shared decision making: an evaluation of full-text searches on medical journal websites.
Périodique
JMIR Research Protocols
Auteur(s)
Blanc X., Collet T.H., Auer R., Iriarte P., Krause J., Légaré F., Cornuz J., Clair C.
ISSN
1929-0748 (Electronic)
ISSN-L
1929-0748
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
4
Numéro
2
Pages
e38
Langue
anglais
Notes
Publication types: Journal Article Publication Status: epublish
Résumé
BACKGROUND: Full-text searches of articles increase the recall, defined by the proportion of relevant publications that are retrieved. However, this method is rarely used in medical research due to resource constraints. For the purpose of a systematic review of publications addressing shared decision making, a full-text search method was required to retrieve publications where shared decision making does not appear in the title or abstract.
OBJECTIVE: The objective of our study was to assess the efficiency and reliability of full-text searches in major medical journals for identifying shared decision making publications.
METHODS: A full-text search was performed on the websites of 15 high-impact journals in general internal medicine to look up publications of any type from 1996-2011 containing the phrase "shared decision making". The search method was compared with a PubMed search of titles and abstracts only. The full-text search was further validated by requesting all publications from the same time period from the individual journal publishers and searching through the collected dataset.
RESULTS: The full-text search for "shared decision making" on journal websites identified 1286 publications in 15 journals compared to 119 through the PubMed search. The search within the publisher-provided publications of 6 journals identified 613 publications compared to 646 with the full-text search on the respective journal websites. The concordance rate was 94.3% between both full-text searches.
CONCLUSIONS: Full-text searching on medical journal websites is an efficient and reliable way to identify relevant articles in the field of shared decision making for review or other purposes. It may be more widely used in biomedical research in other fields in the future, with the collaboration of publishers and journals toward open-access data.
Mots-clé
decision making, full-text search, information storage and retrieval, shared decision making, systematic reviews, text mining
Pubmed
Web of science
Open Access
Oui
Création de la notice
03/09/2015 14:27
Dernière modification de la notice
20/08/2019 14:39
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