Literature DB >> 17082828

Randomized trial for answers to clinical questions: evaluating a pre-appraised versus a MEDLINE search protocol.

Manesh R Patel1, Connie M Schardt, Linda L Sanders, Sheri A Keitz.   

Abstract

OBJECTIVE: The paper compares the speed, validity, and applicability of two different protocols for searching the primary medical literature.
DESIGN: A randomized trial involving medicine residents was performed.
SETTING: An inpatient general medicine rotation was used. PARTICIPANTS: Thirty-two internal medicine residents were block randomized into four groups of eight. MAIN OUTCOME MEASURES: Success rate of each search protocol was measured by perceived search time, number of questions answered, and proportion of articles that were applicable and valid.
RESULTS: Residents randomized to the MEDLINE-first (protocol A) group searched 120 questions, and residents randomized to the MEDLINE-last (protocol B) searched 133 questions. In protocol A, 104 answers (86.7%) and, in protocol B, 117 answers (88%) were found to clinical questions. In protocol A, residents reported that 26 (25.2%) of the answers were obtained quickly or rated as "fast" (<5 minutes) as opposed to 55 (51.9%) in protocol B, (P = 0.0004). A subset of questions and articles (n = 79) were reviewed by faculty who found that both protocols identified similar numbers of answer articles that addressed the questions and were felt to be valid using critical appraisal criteria.
CONCLUSION: For resident-generated clinical questions, both protocols produced a similarly high percentage of applicable and valid articles. The MEDLINE-last search protocol was perceived to be faster. However, in the MEDLINE-last protocol, a significant portion of questions (23%) still required searching MEDLINE to find an answer.

Entities:  

Mesh:

Year:  2006        PMID: 17082828      PMCID: PMC1629432     

Source DB:  PubMed          Journal:  J Med Libr Assoc        ISSN: 1536-5050


  10 in total

1.  Users' guides to the medical literature: XXI. Using electronic health information resources in evidence-based practice. Evidence-Based Medicine Working Group.

Authors:  D L Hunt; R Jaeschke; K A McKibbon
Journal:  JAMA       Date:  2000-04-12       Impact factor: 56.272

2.  Evidence-based medicine training in internal medicine residency programs a national survey.

Authors:  M L Green
Journal:  J Gen Intern Med       Date:  2000-02       Impact factor: 5.128

3.  Evidence-based databases versus primary medical literature: an in-house investigation on their optimal use.

Authors:  Taneya Y Koonce; Nunzia Bettinsoli Giuse; Pauline Todd
Journal:  J Med Libr Assoc       Date:  2004-10

4.  Residents' patient-specific clinical questions: opportunities for evidence-based learning.

Authors:  Lisa M Schilling; John F Steiner; Kristy Lundahl; Robert J Anderson
Journal:  Acad Med       Date:  2005-01       Impact factor: 6.893

5.  Users' guides to the medical literature. II. How to use an article about therapy or prevention. A. Are the results of the study valid? Evidence-Based Medicine Working Group.

Authors:  G H Guyatt; D L Sackett; D J Cook
Journal:  JAMA       Date:  1993-12-01       Impact factor: 56.272

6.  Analysis of questions asked by family doctors regarding patient care.

Authors:  J W Ely; J A Osheroff; M H Ebell; G R Bergus; B T Levy; M L Chambliss; E R Evans
Journal:  BMJ       Date:  1999-08-07

7.  Residents' medical information needs in clinic: are they being met?

Authors:  M L Green; M A Ciampi; P J Ellis
Journal:  Am J Med       Date:  2000-08-15       Impact factor: 4.965

8.  Finding and applying evidence during clinical rounds: the "evidence cart".

Authors:  D L Sackett; S E Straus
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

9.  Real-time information-seeking behavior of residency physicians.

Authors:  Kathleen Ramos; Robin Linscheid; Sean Schafer
Journal:  Fam Med       Date:  2003-04       Impact factor: 1.756

Review 10.  A Web-based compendium of clinical questions and medical evidence to educate internal medicine residents.

Authors:  Steven D Crowley; Thomas A Owens; Connie M Schardt; Sarah I Wardell; Josh Peterson; Scott Garrison; Sheri A Keitz
Journal:  Acad Med       Date:  2003-03       Impact factor: 6.893

  10 in total
  7 in total

1.  A comparison of primary care information content in UpToDate and the National Guideline Clearinghouse.

Authors:  Susan H Fenton; Robert G Badgett
Journal:  J Med Libr Assoc       Date:  2007-07

2.  Exploring clinician adoption of a novel evidence request feature in an electronic medical record system.

Authors:  Rebecca N Jerome; Nunzia Bettinsoli Giuse; S Trent Rosenbloom; Patrick G Arbogast
Journal:  J Med Libr Assoc       Date:  2008-01

3.  Problem-oriented drug information: physicians' expectations and impact on clinical practice.

Authors:  U Hedegaard; P Damkier
Journal:  Eur J Clin Pharmacol       Date:  2009-01-10       Impact factor: 2.953

4.  Decision making in family medicine: randomized trial of the effects of the InfoClinique and Trip database search engines.

Authors:  Michel Labrecque; Stéphane Ratté; Pierre Frémont; Michel Cauchon; Jérôme Ouellet; William Hogg; Jessie McGowan; Marie-Pierre Gagnon; Merlin Njoya; France Légaré
Journal:  Can Fam Physician       Date:  2013-10       Impact factor: 3.275

Review 5.  Sensitivity and predictive value of 15 PubMed search strategies to answer clinical questions rated against full systematic reviews.

Authors:  Thomas Agoritsas; Arnaud Merglen; Delphine S Courvoisier; Christophe Combescure; Nicolas Garin; Arnaud Perrier; Thomas V Perneger
Journal:  J Med Internet Res       Date:  2012-06-12       Impact factor: 5.428

6.  To compare PubMed Clinical Queries and UpToDate in teaching information mastery to clinical residents: a crossover randomized controlled trial.

Authors:  Ladan Sayyah Ensan; Masoomeh Faghankhani; Anna Javanbakht; Seyed-Foad Ahmadi; Hamid Reza Baradaran
Journal:  PLoS One       Date:  2011-08-12       Impact factor: 3.240

7.  Public access and use of health research: an exploratory study of the National Institutes of Health (NIH) Public Access Policy using interviews and surveys of health personnel.

Authors:  Jamie O'Keeffe; John Willinsky; Lauren Maggio
Journal:  J Med Internet Res       Date:  2011-11-21       Impact factor: 5.428

  7 in total

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