Literature DB >> 449003

An algorithm for the operational assessment of adverse drug reactions. II. Demonstration of reproducibility and validity.

T A Hutchinson, J M Leventhal, M S Kramer, F E Karch, A G Lipman, A R Feinstein.   

Abstract

The reproducibility and validity of an algorithm for diagnosis of adverse drug reactions (ADRs) were tested in a clinical spectrum of 30 suspect cases. Using a questionnaire derived from the algorithm the three algorithm developers (nonexperts) agreed on the probability of ADR in 67% of cases, with pair-wise agreement varying from 73% to 87%. The pair-wise agreement of two clinical pharmacologic experts rose from 47% without the algorithm to 63% with the algorithm, with Kw, a chance-corrected index of weighted agreement, increasing from 0.26 to 0.57. The algorithmic assessments of the three nonexperts agreed with expert consensus in 80% to 83% of cases. The ADR algorithm appears to provide a reproducible and valid method of evaluating the likelihood of ADRs in individual patients. Its use can help improve the diagnostic and epidemiologic approach to these important, complex clinical phenomena.

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Mesh:

Year:  1979        PMID: 449003

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


  24 in total

1.  Bayesian assessment of adverse drug reactions.

Authors:  T A Hutchinson
Journal:  CMAJ       Date:  2000-11-28       Impact factor: 8.262

Review 2.  Clarification of terminology in drug safety.

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

3.  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 4.  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

5.  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

Review 6.  Delirium in hospitalized elderly.

Authors:  J Francis; W N Kapoor
Journal:  J Gen Intern Med       Date:  1990 Jan-Feb       Impact factor: 5.128

7.  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

8.  Intensive monitoring of adverse drug reactions in infants and preschool children.

Authors:  A Cirko-Begović; B Vrhovac; I Bakran
Journal:  Eur J Clin Pharmacol       Date:  1989       Impact factor: 2.953

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.  The role of drug-induced illness in admissions to an intensive care unit.

Authors:  P Trunet; I T Borda; A V Rouget; M Rapin; F Lhoste
Journal:  Intensive Care Med       Date:  1986       Impact factor: 17.440

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