Literature DB >> 19131270

The Yale Guideline Recommendation Corpus: a representative sample of the knowledge content of guidelines.

Tamseela Hussain1, George Michel, Richard N Shiffman.   

Abstract

OBJECTIVE: To develop and characterize a large, representative sample of guideline recommendations that can be used to better understand how current recommendations are written and to test the adequacy of guideline models. We refer to this sample as the Yale Guideline Recommendation Corpus (YGRC).
METHOD: To develop the YGRC, we extracted recommendations from guidelines downloaded from the National Guideline Clearinghouse (NGC). We evaluated the representativeness of the YGRC by comparing the frequency of use of controlled vocabulary terms in the YGRC sample and in the NGC. We examined semantic and formatting indicators that were used to denote recommendation statements.
RESULTS: In the course of reviewing 7527 recommendation statements, we extracted 1275 recommendations from the NGC and characterized the guidelines from which they were derived. Both semantic and formatting indicators were used inconsistently to denote recommendations. Recommendation statements were not reliably identifiable in 31.6% (310/982) of the guidelines and many recommendations were not executable as written. We also found variability and inconsistency in the way strength of recommendation is currently reported. Over half of the recommendations (52.7%), did not indicate strength, while 6.5% inaccurately indicated strength.
CONCLUSION: The YGRC provides a representative sample of current guideline recommendations and demonstrates considerable variability and inconsistency in the way recommendations are written and in the way the recommendation strength is currently reported.

Mesh:

Year:  2009        PMID: 19131270     DOI: 10.1016/j.ijmedinf.2008.11.001

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  18 in total

Review 1.  GEM at 10: a decade's experience with the Guideline Elements Model.

Authors:  Negin Hajizadeh; Nitu Kashyap; George Michel; Richard N Shiffman
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Consequences of the verification of completeness in clinical practice guideline modeling: a theoretical and empirical study with hypertension.

Authors:  J Bouaud; B Séroussi; H Falcoff; J Julien; C Simon; D L Denké
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

3.  Building better guidelines with BRIDGE-Wiz: development and evaluation of a software assistant to promote clarity, transparency, and implementability.

Authors:  Richard N Shiffman; George Michel; Richard M Rosenfeld; Caryn Davidson
Journal:  J Am Med Inform Assoc       Date:  2011-08-16       Impact factor: 4.497

4.  Methodological quality of national guidelines for pediatric inpatient conditions.

Authors:  Gabrielle Hester; Katherine Nelson; Sanjay Mahant; Emily Eresuma; Ron Keren; Rajendu Srivastava
Journal:  J Hosp Med       Date:  2014-03-28       Impact factor: 2.960

5.  Accuracy of a computerized clinical decision-support system for asthma assessment and management.

Authors:  Laura J Hoeksema; Alia Bazzy-Asaad; Edwin A Lomotan; Diana E Edmonds; Gabriela Ramírez-Garnica; Richard N Shiffman; Leora I Horwitz
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

6.  A discourse analysis of hand hygiene policy in NHS Trusts.

Authors:  Mark Cole
Journal:  J Infect Prev       Date:  2015-03-18

7.  How "should" we write guideline recommendations? Interpretation of deontic terminology in clinical practice guidelines: survey of the health services community.

Authors:  E A Lomotan; G Michel; Z Lin; R N Shiffman
Journal:  Qual Saf Health Care       Date:  2010-08-10

8.  Clinical practice guideline development manual: a quality-driven approach for translating evidence into action.

Authors:  Richard M Rosenfeld; Richard N Shiffman
Journal:  Otolaryngol Head Neck Surg       Date:  2009-06       Impact factor: 3.497

9.  Developing clinical practice guidelines: types of evidence and outcomes; values and economics, synthesis, grading, and presentation and deriving recommendations.

Authors:  Steven Woolf; Holger J Schünemann; Martin P Eccles; Jeremy M Grimshaw; Paul Shekelle
Journal:  Implement Sci       Date:  2012-07-04       Impact factor: 7.327

10.  FORM: an Australian method for formulating and grading recommendations in evidence-based clinical guidelines.

Authors:  Susan Hillier; Karen Grimmer-Somers; Tracy Merlin; Philippa Middleton; Janet Salisbury; Rebecca Tooher; Adele Weston
Journal:  BMC Med Res Methodol       Date:  2011-02-28       Impact factor: 4.615

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