Literature DB >> 15684126

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

Johanna I Westbrook1, Enrico W Coiera, A Sophie Gosling.   

Abstract

OBJECTIVE: To assess the impact of clinicians' use of an online information retrieval system on their performance in answering clinical questions.
DESIGN: Pre-/post-intervention experimental design. MEASUREMENTS: In a computer laboratory, 75 clinicians (26 hospital-based doctors, 18 family practitioners, and 31 clinical nurse consultants) provided 600 answers to eight clinical scenarios before and after the use of an online information retrieval system. We examined the proportion of correct answers pre- and post-intervention, direction of change in answers, and differences between professional groups.
RESULTS: System use resulted in a 21% improvement in clinicians' answers, from 29% (95% confidence interval [CI] 25.4-32.6) correct pre- to 50% (95% CI 46.0-54.0) post-system use. In 33% (95% CI 29.1-36.9) answers were changed from incorrect to correct. In 21% (95% CI 17.1-23.9) correct pre-test answers were supported by evidence found using the system, and in 7% (95% CI 4.9-9.1) correct pre-test answers were changed incorrectly. For 40% (35.4-43.6) of scenarios, incorrect pre-test answers were not rectified following system use. Despite significant differences in professional groups' pre-test scores [family practitioners: 41% (95% CI 33.0-49.0), hospital doctors: 35% (95% CI 28.5-41.2), and clinical nurse consultants: 17% (95% CI 12.3-21.7; chi(2) = 29.0, df = 2, p < 0.01)], there was no difference in post-test scores. (chi(2) = 2.6, df = 2, p = 0.73).
CONCLUSIONS: The use of an online information retrieval system was associated with a significant improvement in the quality of answers provided by clinicians to typical clinical problems. In a small proportion of cases, use of the system produced errors. While there was variation in the performance of clinical groups when answering questions unaided, performance did not differ significantly following system use. Online information retrieval systems can be an effective tool in improving the accuracy of clinicians' answers to clinical questions.

Mesh:

Year:  2005        PMID: 15684126      PMCID: PMC1090463          DOI: 10.1197/jamia.M1717

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


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

Authors:  William R Hersh; M Katherine Crabtree; David H Hickam; Lynetta Sacherek; Charles P Friedman; Patricia Tidmarsh; Craig Mosbaek; Dale Kraemer
Journal:  J Am Med Inform Assoc       Date:  2002 May-Jun       Impact factor: 4.497

3.  Do clinicians use online evidence to support patient care? A study of 55,000 clinicians.

Authors:  Johanna I Westbrook; A Sophie Gosling; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2003-12-07       Impact factor: 4.497

Review 4.  Sources of variation and bias in studies of diagnostic accuracy: a systematic review.

Authors:  Penny Whiting; Anne W S Rutjes; Johannes B Reitsma; Afina S Glas; Patrick M M Bossuyt; Jos Kleijnen
Journal:  Ann Intern Med       Date:  2004-02-03       Impact factor: 25.391

5.  Some unintended consequences of information technology in health care: the nature of patient care information system-related errors.

Authors:  Joan S Ash; Marc Berg; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2003-11-21       Impact factor: 4.497

6.  Use of online resources while using a clinical information system.

Authors:  James J Cimino; Jianhua Li; Mark Graham; Leanne M Currie; Mureen Allen; Suzanne Bakken; Vimla L Patel
Journal:  AMIA Annu Symp Proc       Date:  2003

7.  Nurses' use of online clinical evidence.

Authors:  A Sophie Gosling; Johanna I Westbrook; Rosemary Spencer
Journal:  J Adv Nurs       Date:  2004-07       Impact factor: 3.187

8.  Use of point-of-care online clinical evidence by junior and senior doctors in New South Wales public hospitals.

Authors:  J I Westbrook; A S Gosling; M T Westbrook
Journal:  Intern Med J       Date:  2005-07       Impact factor: 2.048

9.  Online access to MEDLINE in clinical settings. A study of use and usefulness.

Authors:  R B Haynes; K A McKibbon; C J Walker; N Ryan; D Fitzgerald; M F Ramsden
Journal:  Ann Intern Med       Date:  1990-01-01       Impact factor: 25.391

10.  Use of MEDLINE by physicians for clinical problem solving.

Authors:  D A Lindberg; E R Siegel; B A Rapp; K T Wallingford; S R Wilson
Journal:  JAMA       Date:  1993 Jun 23-30       Impact factor: 56.272

View more
  59 in total

1.  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

2.  An approach to medical knowledge sharing in a hospital information system using MCLink.

Authors:  Akiko Shibuya; Ryusuke Inoue; Masaharu Nakayama; Shin Kasahara; Yukihiro Maeda; Yoshimasa Umesato; Yoshiaki Kondo
Journal:  J Med Syst       Date:  2013-06-26       Impact factor: 4.460

3.  McMaster Premium Literature Service (PLUS): an evidence-based medicine information service delivered on the Web.

Authors:  Jennifer Holland; R Brian Haynes
Journal:  AMIA Annu Symp Proc       Date:  2005

4.  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

5.  How primary care physicians' attitudes toward risk and uncertainty affect their use of electronic information resources.

Authors:  K Ann McKibbon; Douglas B Fridsma; Rebecca S Crowley
Journal:  J Med Libr Assoc       Date:  2007-04

6.  Infobuttons and classification models: a method for the automatic selection of on-line information resources to fulfill clinicians' information needs.

Authors:  Guilherme Del Fiol; Peter J Haug
Journal:  J Biomed Inform       Date:  2007-12-08       Impact factor: 6.317

7.  Managing evidence-based knowledge: the need for reliable, relevant and readable resources.

Authors:  Sharon Straus; R Bryan Haynes
Journal:  CMAJ       Date:  2009-04-28       Impact factor: 8.262

8.  Information needs, Infobutton Manager use, and satisfaction by clinician type: a case study.

Authors:  Sarah A Collins; Leanne M Currie; Suzanne Bakken; James J Cimino
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

9.  Can cognitive biases during consumer health information searches be reduced to improve decision making?

Authors:  Annie Y S Lau; Enrico W Coiera
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

10.  Evaluation of PubMed filters used for evidence-based searching: validation using relative recall.

Authors:  Arjen Hoogendam; Pieter F de Vries Robbé; Anton F H Stalenhoef; A John P M Overbeke
Journal:  J Med Libr Assoc       Date:  2009-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.