Literature DB >> 22201475

Methods for assessing the preventability of adverse drug events: a systematic review.

Katja Marja Hakkarainen1, Karolina Andersson Sundell, Max Petzold, Staffan Hägg.   

Abstract

BACKGROUND: Preventable adverse drug events (ADEs) are common in both outpatient and inpatient settings. However, the proportion of preventable ADEs varies considerably in different studies, even when conducted in the same setting, and methods for assessing the preventability of ADEs are diverse.
OBJECTIVE: The aim of this article is to identify and systematically evaluate methods for assessing the preventability of ADEs. DATA SOURCES: Seven databases (Cochrane, CINAHL, EMBASE, IPA, MEDLINE, PsycINFO and Web of Science) were searched in September 2010 utilizing the databases' index terms and other common terminology on preventable ADEs. No limits for the years of publication were set. Reference lists of included original articles and relevant review articles were also screened. STUDY SELECTION: After applying predetermined inclusion and exclusion criteria on 4161 unique citations, 142 (3.4%) original research articles were included in the review. One additional article was included from reference lists. Outcome measures of included studies had to include the frequency of ADEs and the assessment of their preventability. Studies were excluded if they focused on individuals with one specific type of treatment, medical condition, medical procedure or ADE. DATA EXTRACTION: Measurement instruments for determining the preventability of ADEs in each article were extracted and unique instruments were compared. The process of assessing the preventability of ADEs was described based on reported actions taken to standardize and conduct the assessment, and on information about the reliability and validity of the assessment. DATA SYNTHESIS: Eighteen unique instruments for determining the preventability of ADEs were identified. They fell under the following four groups: (i) instruments using a definition of preventability only (n = 3); (ii) instruments with a definition of preventability and an assessment scale for determining preventability (n = 5); (iii) instruments with specific criteria for each preventability category (n = 3); and (iv) instruments with an algorithm for determining preventability (n = 7). Of actions to standardize the assessment process, performing a pilot study was reported in 21 (15%), and use of a standardized protocol was reported in 18 (13%), of the included 143 articles. Preventability was assessed by physicians in 86 (60%) articles and by pharmacists in 41 (29%) articles. In 29 (20%) articles, persons conducting the assessment were described as trained for or experienced in preventability assessment. In 94 (66%) articles, more than one person assessed the preventability of each case. Among these 94 articles, assessment was done independently in 73 (51%) articles. Procedures for managing conflicting assessments were diverse. The reliability of the preventability assessment was tested in 39 (27%) articles, and 16 (11%) articles referred to a previous reliability assessment. Reliability ranged from poor to excellent (kappa 0.19-0.98; overall agreement 26-97%). Four (3%) articles mentioned assessing validity, but no sensitivity or specificity analyses or negative or positive predictive values were presented.
CONCLUSIONS: Instruments for assessing the preventability of ADEs vary from implicit instruments to explicit algorithms. There is limited evidence for the validity of the identified instruments, and instrument reliability varied significantly. The process of assessing the preventability of ADEs is also commonly imprecisely described, which hinders the interpretation and comparison of studies. For measuring the preventability of ADEs more accurately and precisely in future, we believe that existing instruments should be further studied and developed, or that one or more new instruments should be developed, and the validity and reliability of the existing and new instruments be established.

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Year:  2012        PMID: 22201475     DOI: 10.2165/11596570-000000000-00000

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  176 in total

1.  Readmissions and adverse drug reactions in internal medicine: the economic impact.

Authors:  H Dormann; A Neubert; M Criegee-Rieck; T Egger; M Radespiel-Tröger; T Azaz-Livshits; M Levy; K Brune; E G Hahn
Journal:  J Intern Med       Date:  2004-06       Impact factor: 8.989

2.  Inter- and intra-rater reliability for classification of medication related events in paediatric inpatients.

Authors:  D L Kunac; D M Reith; J Kennedy; N C Austin; S M Williams
Journal:  Qual Saf Health Care       Date:  2006-06

3.  Estimating hospital deaths due to medical errors: preventability is in the eye of the reviewer.

Authors:  R A Hayward; T P Hofer
Journal:  JAMA       Date:  2001-07-25       Impact factor: 56.272

4.  Drug-related hospital admissions in a generic pharmaceutical system.

Authors:  A H Zargarzadeh; M H Emami; F Hosseini
Journal:  Clin Exp Pharmacol Physiol       Date:  2007 May-Jun       Impact factor: 2.557

5.  Hospital ownership and preventable adverse events.

Authors:  E J Thomas; E J Orav; T A Brennan
Journal:  Int J Health Serv       Date:  2000       Impact factor: 1.663

6.  Preventable medication-related events in hospitalised children in New Zealand.

Authors:  Desireé L Kunac; David M Reith
Journal:  N Z Med J       Date:  2008-04-18

7.  French national survey of inpatient adverse events prospectively assessed with ward staff.

Authors:  Philippe Michel; Jean Luc Quenon; Ahmed Djihoud; Sophie Tricaud-Vialle; Anne Marie de Sarasqueta
Journal:  Qual Saf Health Care       Date:  2007-10

8.  Incidence of adverse events related to health care in Spain: results of the Spanish National Study of Adverse Events.

Authors:  J M Aranaz-Andrés; C Aibar-Remón; J Vitaller-Murillo; P Ruiz-López; R Limón-Ramírez; E Terol-García
Journal:  J Epidemiol Community Health       Date:  2008-12       Impact factor: 3.710

9.  Adverse drug reactions in hospital in-patients: a prospective analysis of 3695 patient-episodes.

Authors:  Emma C Davies; Christopher F Green; Stephen Taylor; Paula R Williamson; David R Mottram; Munir Pirmohamed
Journal:  PLoS One       Date:  2009-02-11       Impact factor: 3.240

Review 10.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration.

Authors:  Jan P Vandenbroucke; Erik von Elm; Douglas G Altman; Peter C Gøtzsche; Cynthia D Mulrow; Stuart J Pocock; Charles Poole; James J Schlesselman; Matthias Egger
Journal:  PLoS Med       Date:  2007-10-16       Impact factor: 11.069

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  23 in total

1.  A prospective analysis of the preventability of adverse drug reactions reported in Sweden.

Authors:  Henrik Lövborg; Linda Ring Eriksson; Anna K Jönsson; Thomas Bradley; Staffan Hägg
Journal:  Eur J Clin Pharmacol       Date:  2012-02-19       Impact factor: 2.953

2.  Assessment of a new instrument for detecting preventable adverse drug reactions.

Authors:  Raja Benkirane; Rachida Soulaymani-Bencheikh; Asmae Khattabi; Ghita Benabdallah; Loubna Alj; Houda Sefiani; Khedidja Hedna; Lahcen Ouammi; Sten Olsson; Shanti N Pal
Journal:  Drug Saf       Date:  2015-04       Impact factor: 5.606

Review 3.  Hospitalizations due to preventable adverse reactions-a systematic review.

Authors:  Nidhi S Patel; Tejas K Patel; Parvati B Patel; Viren N Naik; C B Tripathi
Journal:  Eur J Clin Pharmacol       Date:  2016-12-02       Impact factor: 2.953

4.  Preventable and potentially preventable serious adverse reactions induced by oral protein kinase inhibitors through a database of adverse drug reaction reports.

Authors:  Adeline Egron; Pascale Olivier-Abbal; Aurore Gouraud; Samy Babai; Sandrine Combret; Jean-Louis Montastruc; Emmanuelle Bondon-Guitton
Journal:  Target Oncol       Date:  2014-07-25       Impact factor: 4.493

5.  Development of a 'ready-to-use' tool that includes preventability, for the assessment of adverse drug events in oncology.

Authors:  Guillaume Hébert; Florence Netzer; Sylvain Landry Kouakou; François Lemare; Etienne Minvielle
Journal:  Int J Clin Pharm       Date:  2018-02-14

6.  Modelling drug-related morbidity in Sweden using an expert panel of physicians.

Authors:  Katja M Hakkarainen; Daniel Alström; Staffan Hägg; Anders Carlsten; Hanna Gyllensten
Journal:  Eur J Clin Pharmacol       Date:  2012-03-06       Impact factor: 2.953

7.  Preventability of Voluntarily Reported or Trigger Tool-Identified Medication Errors in a Pediatric Institution by Information Technology: A Retrospective Cohort Study.

Authors:  Jeremy S Stultz; Milap C Nahata
Journal:  Drug Saf       Date:  2015-07       Impact factor: 5.606

8.  Inter-rater reliability of the assessment of adverse drug reactions in the hospitalised elderly.

Authors:  B Tangiisuran; V Auyeung; L Cheek; C Rajkumar; G Davies
Journal:  J Nutr Health Aging       Date:  2013       Impact factor: 4.075

9.  Percentage of patients with preventable adverse drug reactions and preventability of adverse drug reactions--a meta-analysis.

Authors:  Katja M Hakkarainen; Khadidja Hedna; Max Petzold; Staffan Hägg
Journal:  PLoS One       Date:  2012-03-15       Impact factor: 3.240

10.  Recognition of adverse drug events in older hospitalized medical patients.

Authors:  Joanna E Klopotowska; Peter C Wierenga; Susanne M Smorenburg; Clementine C M Stuijt; Lambertus Arisz; Paul F M Kuks; Marcel G W Dijkgraaf; Loraine Lie-A-Huen; Sophia E de Rooij
Journal:  Eur J Clin Pharmacol       Date:  2012-06-07       Impact factor: 2.953

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