Literature DB >> 480646

An algorithm for the operational assessment of adverse drug reactions. III. Results of tests among clinicians.

J M Leventhal, T A Hutchinson, M S Kramer, A R Feinstein.   

Abstract

To determine how practicing clinicians use a recently developed algorithm for the diagnostic assessment of suspected adverse drug reactions (ADRs), eight clinicians--four board-certified, practicing physicians and four interns--rated the likelihood of 30 suspected ADRs. Each physician reviewed the case summaries, first using implicit clinical judgment and two months later by means of the ADR algorithm. The algorithm significantly improved the reproducibility of the senior clinicians' assessments as compared with their implicit assessments; however, the improvement in the interns' assessments with the algorithm was not significant. The validity of the physicians' assessments, which was measured by comparing their ratings with a consensus rating of the three algorithm developers, was also significantly improved by the use of the algorithm. When used by practicing clinicians, the algorithm improves the reproducibility and validity of their assessments of ADRs and should provide a more precise diagnostic approach to these complex clinical phenomena.

Mesh:

Year:  1979        PMID: 480646

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  16 in total

1.  Agreement of expert judgment in causality assessment of adverse drug reactions.

Authors:  Yannick Arimone; Bernard Bégaud; Ghada Miremont-Salamé; Annie Fourrier-Réglat; Nicholas Moore; Mathieu Molimard; Françoise Haramburu
Journal:  Eur J Clin Pharmacol       Date:  2005-04-13       Impact factor: 2.953

Review 2.  Clarification of terminology in drug safety.

Authors:  Jeffrey K Aronson; Robin E Ferner
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

Review 3.  The art and science of risk management: a US research-based industry perspective.

Authors:  Janice K Bush; Wanju S Dai; Gretchen S Dieck; Linda S Hostelley; Thomas Hassall
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

4.  Can decisional algorithms replace global introspection in the individual causality assessment of spontaneously reported ADRs?

Authors:  Ana F Macedo; Francisco B Marques; Carlos F Ribeiro
Journal:  Drug Saf       Date:  2006       Impact factor: 5.606

Review 5.  Methods for causality assessment of adverse drug reactions: a systematic review.

Authors:  Taofikat B Agbabiaka; Jelena Savović; Edzard Ernst
Journal:  Drug Saf       Date:  2008       Impact factor: 5.606

6.  Inter-expert agreement of seven criteria in causality assessment of adverse drug reactions.

Authors:  Yannick Arimone; Ghada Miremont-Salamé; Françoise Haramburu; Mathieu Molimard; Nicholas Moore; Annie Fourrier-Réglat; Bernard Bégaud
Journal:  Br J Clin Pharmacol       Date:  2007-08-15       Impact factor: 4.335

7.  Comparison of three methods (an updated logistic probabilistic method, the Naranjo and Liverpool algorithms) for the evaluation of routine pharmacovigilance case reports using consensual expert judgement as reference.

Authors:  Hélène Théophile; Manon André; Ghada Miremont-Salamé; Yannick Arimone; Bernard Bégaud
Journal:  Drug Saf       Date:  2013-10       Impact factor: 5.606

8.  Causal or casual? The role of causality assessment in pharmacovigilance.

Authors:  R H Meyboom; Y A Hekster; A C Egberts; F W Gribnau; I R Edwards
Journal:  Drug Saf       Date:  1997-12       Impact factor: 5.606

9.  Consistency of assessment of adverse drug reactions in psychiatric hospitals: a comparison of an algorithmic and an empirical approach.

Authors:  L G Schmidt; P Dirschedl; R Grohmann; J Scherer; O Wunderlich; B Müller-Oerlinghausen
Journal:  Eur J Clin Pharmacol       Date:  1986       Impact factor: 2.953

10.  Assessment of adverse drug reactions in psychiatric hospitals.

Authors:  R Grohmann; H Hippius; B Müller-Oerlinghausen; E Rüther; J Scherer; L G Schmidt; A Strauss; B Wolf
Journal:  Eur J Clin Pharmacol       Date:  1984       Impact factor: 2.953

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