Literature DB >> 11971889

Factors associated with success in searching MEDLINE and applying evidence to answer clinical questions.

William R Hersh1, M Katherine Crabtree, David H Hickam, Lynetta Sacherek, Charles P Friedman, Patricia Tidmarsh, Craig Mosbaek, Dale Kraemer.   

Abstract

OBJECTIVES: This study sought to assess the ability of medical and nurse practitioner students to use MEDLINE to obtain evidence for answering clinical questions and to identify factors associated with the successful answering of questions.
METHODS: A convenience sample of medical and nurse practitioner students was recruited. After completing instruments measuring demographic variables, computer and searching attitudes and experience, and cognitive traits, the subjects were given a brief orientation to MEDLINE searching and the techniques of evidence-based medicine. The subjects were then given 5 questions (from a pool of 20) to answer in two sessions using the Ovid MEDLINE system and the Oregon Health & Science University library collection. Each question was answered using three possible responses that reflected the quality of the evidence. All actions capable of being logged by the Ovid system were captured. Statistical analysis was performed using a model based on generalized estimating equations. The relevance-based measures of recall and precision were measured by defining end queries and having relevance judgments made by physicians who were not associated with the study.
RESULTS: Forty-five medical and 21 nurse practitioner students provided usable answers to 324 questions. The rate of correctness increased from 32.3 to 51.6 percent for medical students and from 31.7 to 34.7 percent for nurse practitioner students. Ability to answer questions correctly was most strongly associated with correctness of the answer before searching, user experience with MEDLINE features, the evidence-based medicine question type, and the spatial visualization score. The spatial visualization score showed multi-colinearity with student type (medical vs. nurse practitioner). Medical and nurse practitioner students obtained comparable recall and precision, neither of which was associated with correctness of the answer.
CONCLUSIONS: Medical and nurse practitioner students in this study were at best moderately successful at answering clinical questions correctly with the assistance of literature searching. The results confirm the importance of evaluating both search ability and the ability to use the resulting information to accomplish a clinical task.

Entities:  

Mesh:

Year:  2002        PMID: 11971889      PMCID: PMC344588          DOI: 10.1197/jamia.m0996

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  12 in total

1.  Factors associated with successful answering of clinical questions using an information retrieval system.

Authors:  W R Hersh; M K Crabtree; D H Hickam; L Sacherek; L Rose; C P Friedman
Journal:  Bull Med Libr Assoc       Date:  2000-10

2.  Medical students using Grateful Med: analysis of failed searches and a six-month follow-up study.

Authors:  J A Mitchell; E D Johnson; J E Hewett; V K Proud
Journal:  Comput Biomed Res       Date:  1992-02

Review 3.  How well do physicians use electronic information retrieval systems? A framework for investigation and systematic review.

Authors:  W R Hersh; D H Hickam
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

4.  Effectiveness of instruction in critical appraisal (evidence-based medicine) skills: a critical appraisal.

Authors:  G R Norman; S I Shannon
Journal:  CMAJ       Date:  1998-01-27       Impact factor: 8.262

5.  Comparison of population-averaged and subject-specific approaches for analyzing repeated binary outcomes.

Authors:  F B Hu; J Goldberg; D Hedeker; B R Flay; M A Pentz
Journal:  Am J Epidemiol       Date:  1998-04-01       Impact factor: 4.897

6.  A comparison of hypertext and Boolean access to biomedical information.

Authors:  C P Friedman; B M Wildemuth; M Muriuki; S P Gant; S M Downs; R G Twarog; R de Bliek
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

7.  Assaying and isolating individual differences in searching a hierarchical file system.

Authors:  K J Vicente; B C Hayes; R C Williges
Journal:  Hum Factors       Date:  1987-06       Impact factor: 2.888

8.  Factors affecting students' use of MEDLINE.

Authors:  M L Pao; S F Grefsheim; M L Barclay; J O Woolliscroft; M McQuillan; B L Shipman
Journal:  Comput Biomed Res       Date:  1993-12

9.  Effect of search experience on sustained MEDLINE usage by students.

Authors:  M L Pao; S F Grefsheim; M L Barclay; J O Woolliscroft; B L Shipman; M McQuillan
Journal:  Acad Med       Date:  1994-11       Impact factor: 6.893

10.  Information seeking in primary care: how physicians choose which clinical questions to pursue and which to leave unanswered.

Authors:  P N Gorman; M Helfand
Journal:  Med Decis Making       Date:  1995 Apr-Jun       Impact factor: 2.583

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  32 in total

1.  Text mining neuroscience journal articles to populate neuroscience databases.

Authors:  Chiquito J Crasto; Luis N Marenco; Michele Migliore; Buqing Mao; Prakash M Nadkarni; Perry Miller; Gordon M Shepherd
Journal:  Neuroinformatics       Date:  2003

2.  From web search to healthcare utilization: privacy-sensitive studies from mobile data.

Authors:  Ryen White; Eric Horvitz
Journal:  J Am Med Inform Assoc       Date:  2012-06-03       Impact factor: 4.497

3.  Evaluating the impact of MEDLINE filters on evidence retrieval: study protocol.

Authors:  Salimah Z Shariff; Meaghan S Cuerden; R Brian Haynes; K Ann McKibbon; Nancy L Wilczynski; Arthur V Iansavichus; Mark R Speechley; Amardeep Thind; Amit X Garg
Journal:  Implement Sci       Date:  2010-07-20       Impact factor: 7.327

4.  Answering physicians' clinical questions: obstacles and potential solutions.

Authors:  John W Ely; Jerome A Osheroff; M Lee Chambliss; Mark H Ebell; Marcy E Rosenbaum
Journal:  J Am Med Inform Assoc       Date:  2004-11-23       Impact factor: 4.497

5.  Impact of an evidence-based medicine curriculum on medical students' attitudes and skills.

Authors:  Josephine L Dorsch; Meenakshy K Aiyer; Lynne E Meyer
Journal:  J Med Libr Assoc       Date:  2004-10

6.  Do online information retrieval systems help experienced clinicians answer clinical questions?

Authors:  Johanna I Westbrook; Enrico W Coiera; A Sophie Gosling
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

7.  Comparing bedside information tools: a user-centered, task-oriented approach.

Authors:  Rose Campbell; Joan Ash
Journal:  AMIA Annu Symp Proc       Date:  2005

8.  A day in the life of PubMed: analysis of a typical day's query log.

Authors:  Jorge R Herskovic; Len Y Tanaka; William Hersh; Elmer V Bernstam
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

9.  Beyond information retrieval--medical question answering.

Authors:  Minsuk Lee; James Cimino; Hai R Zhu; Carl Sable; Vijay Shanker; John Ely; Hong Yu
Journal:  AMIA Annu Symp Proc       Date:  2006

10.  Effectiveness of clinician-selected electronic information resources for answering primary care physicians' information needs.

Authors:  K Ann McKibbon; Douglas B Fridsma
Journal:  J Am Med Inform Assoc       Date:  2006-08-23       Impact factor: 4.497

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