Optimising database searching in pharmacy education-Reference-Cited by-同舟云学术

Optimising database searching in pharmacy education

Published:2022-11-10 Issue:6 Volume:30 Page:580-582
ISSN:0961-7671
Container-title:International Journal of Pharmacy Practice
language:en
Short-container-title:

Author:

Hope Denise L¹^ORCID,Grant Gary D¹^ORCID,Rogers Gary D²^ORCID,King Michelle A¹^ORCID

Affiliation:

1. School of Pharmacy and Medical Sciences, Griffith University , Gold Coast, QLD , Australia

2. School of Medicine, Deakin University , Geelong, VIC , Australia

Abstract

Abstract Objectives To determine the effectiveness of databases in a pharmacy education literature search. Methods Six databases (CINAHL, ERIC, Google Scholar, Ovid MEDLINE, Science Direct and Scopus) were compared for effectiveness in identifying pharmacy education literature. Articles were coded for database of retrieval and results cross-referenced. Sensitivity, precision and number of unique retrievals were calculated. Key findings Scopus yielded the highest sensitivity (65%) and precision (47%). The combination of three databases (Scopus, Science Direct and Google Scholar) identified 97% (n = 64) of 66 relevant articles. Conclusions Pharmacy education literature searches require more than one database, ideally Scopus, Science Direct and Google Scholar.

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Health Policy,Pharmaceutical Science,Pharmacy

Link

https://academic.oup.com/ijpp/article-pdf/30/6/580/48829282/riac078.pdf

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