Literature DB >> 15332694

Pharmacist surveillance of adverse drug events.

Alan J Forster1, Roland B Halil, Michael G Tierney.   

Abstract

PURPOSE: The incidence of adverse drug events (ADEs), preventable ADEs, and potential ADEs was determined using pharmacist surveillance. Drug classes associated with ADEs were also identified.
METHODS: The study was conducted in a 30-bed hospital ward of a Canadian teaching hospital between April 28, 2003, and May 26, 2003. All patients admitted to the general medicine service were eligible for study enrollment. A pharmacist performed surveillance to identify new or worsening symptoms, critical laboratory values, and medication errors. Surveillance consisted of daily communications with staff, daily chart reviews for all inpatients, and investigation of spontaneous incident reports. Data were collected to describe all identified outcomes. This information was rated independently by two clinicians to determine if the outcome was an ADE, a preventable ADE, or a potential ADE. Descriptive statistics were used to calculate outcome rates, which were reported as events per 100 patient-days.
RESULTS: During 543 patient-days of observation, 24 ADEs occurred (4.4 per 100 patient-days), of which 14 were preventable (2.6 per 100 patient-days); 13 potential ADEs also occurred (2.4 per 100 patient-days). Of all ADEs, 3 (13%) were life threatening, 11 (46%) were serious, and 10 (42%) were significant. The 24 ADEs were associated with nine different drug classes. Four drug classes accounted for 17 ADEs (71%): antidiabetic agents, antibiotics, glucocorticoids, and sedatives and hypnotics.
CONCLUSION: Pharmacist surveillance revealed that 4.4 ADEs occurred per 100 patient-days, over half of which were preventable. All preventable and potential ADEs occurred during the ordering and administration stages of medication delivery.

Entities:  

Mesh:

Year:  2004        PMID: 15332694     DOI: 10.1093/ajhp/61.14.1466

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.637


  12 in total

1.  Influence of pharmacists' attitudes on adverse drug reaction reporting : a case-control study in Portugal.

Authors:  Maria T Herdeiro; Adolfo Figueiras; Jorge Polónia; J J Gestal-Otero
Journal:  Drug Saf       Date:  2006       Impact factor: 5.606

2.  Improving the reporting of adverse drug reactions: a cluster-randomized trial among pharmacists in Portugal.

Authors:  Maria T Herdeiro; Jorge Polónia; Juan J Gestal-Otero; Adolfo Figueiras
Journal:  Drug Saf       Date:  2008       Impact factor: 5.606

Review 3.  Improving patient safety through the systematic evaluation of patient outcomes.

Authors:  Alan J Forster; Geoff Dervin; Claude Martin; Steven Papp
Journal:  Can J Surg       Date:  2012-12       Impact factor: 2.089

Review 4.  Methods for assessing the preventability of adverse drug events: a systematic review.

Authors:  Katja Marja Hakkarainen; Karolina Andersson Sundell; Max Petzold; Staffan Hägg
Journal:  Drug Saf       Date:  2012-02-01       Impact factor: 5.606

5.  Validation of a discharge summary term search method to detect adverse events.

Authors:  Alan J Forster; Jason Andrade; Carl van Walraven
Journal:  J Am Med Inform Assoc       Date:  2004-11-23       Impact factor: 4.497

Review 6.  Pharmaceutical follow-up for patients on rituximab therapy for non-Hodgkin lymphoma: what is the evidence?

Authors:  Vanessa Hegele; Paula Stoll; Diego Wüst; Guilherme Ehrenbrink; Luiza Raquel Grazziotin; Juliana Prohonoski Caregnato; Luciane Pereira Lindenmeyer
Journal:  Int J Clin Pharm       Date:  2013-06-05

Review 7.  Prevalence, incidence and nature of prescribing errors in hospital inpatients: a systematic review.

Authors:  Penny J Lewis; Tim Dornan; David Taylor; Mary P Tully; Val Wass; Darren M Ashcroft
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

8.  Using prospective clinical surveillance to identify adverse events in hospital.

Authors:  Alan J Forster; Jim R Worthington; Steven Hawken; Michael Bourke; Fraser Rubens; Kaveh Shojania; Carl van Walraven
Journal:  BMJ Qual Saf       Date:  2011-03-01       Impact factor: 7.035

Review 9.  Measuring the severity of prescribing errors: a systematic review.

Authors:  Sara Garfield; Matthew Reynolds; Liesbeth Dermont; Bryony Dean Franklin
Journal:  Drug Saf       Date:  2013-12       Impact factor: 5.606

10.  A comparison of active surveillance programs including a spontaneous reporting model for phamacovigilance of adverse drug events in a hospital.

Authors:  Il Seon Yun; Myung Jin Koo; Eun Hye Park; Sung-Eun Kim; Jae-Hyun Lee; Jung-Won Park; Chein-Soo Hong
Journal:  Korean J Intern Med       Date:  2012-11-27       Impact factor: 2.884

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