Literature DB >> 3046347

Sensitivity and specificity of three methods of detecting adverse drug reactions.

L L Berry1, R Segal, T P Sherrin, K A Fudge.   

Abstract

The sensitivity and specificity of three methods of detecting adverse drug reactions (ADRs) were determined. Minimal use of a voluntary ADR reporting program prompted this investigation of three ADR detection methods, as follows: screening of laboratory reports, pharmacist screening of medication orders, and voluntary reporting. A total of 98 patients who were receiving oral or i.v. digoxin therapy, oral or i.v. theophylline therapy, or i.v. gentamicin therapy were randomly selected and monitored for possible ADRs. A physician reviewed the charts of patients with suspected ADRs using the Naranjo algorithm to assess causality. The chart review served as the reference method to which the other three methods were compared. Thirteen "true" (i.e., confirmed by the Naranjo algorithm) ADRs were identified in 11 different patient charts, resulting in a 13.3% ADR incidence rate for the 98 sampled patients. For the three ADR detection methods, the decreasing order for level of sensitivity was screening of laboratory reports, pharmacist screening of medication orders, and voluntary reports; however, only the difference between laboratory reports and voluntary reports was significant. For level of specificity, the decreasing order for the three methods was voluntary reports, pharmacist screening of medication orders, and pharmacist screening of laboratory reports; the differences among all three methods were significant. Screening of laboratory reports and pharmacist screening of medication orders are two detection methods that appear to exhibit an appropriate combination of sensitivity and specificity for identifying ADRs; trials with larger sample sizes are needed to confirm the results of this study.

Entities:  

Mesh:

Substances:

Year:  1988        PMID: 3046347

Source DB:  PubMed          Journal:  Am J Hosp Pharm        ISSN: 0002-9289


  12 in total

1.  Academic detailing improves identification and reporting of adverse drug events.

Authors:  R G Schlienger; T F Lüscher; R A Schoenenberger; W E Haefeli
Journal:  Pharm World Sci       Date:  1999-06

2.  Computerized survelliance of adverse drug reactions in hospital: pilot study.

Authors:  T Azaz-Livshits; M Levy; B Sadan; M Shalit; G Geisslinger; K Brune
Journal:  Br J Clin Pharmacol       Date:  1998-03       Impact factor: 4.335

3.  Evaluating the capability of information technology to prevent adverse drug events: a computer simulation approach.

Authors:  James G Anderson; Stephen J Jay; Marilyn Anderson; Thaddeus J Hunt
Journal:  J Am Med Inform Assoc       Date:  2002 Sep-Oct       Impact factor: 4.497

4.  Computerized surveillance of adverse drug events in hospital patients. 1991.

Authors:  D C Classen; S L Pestotnik; R S Evans; J P Burke
Journal:  Qual Saf Health Care       Date:  2005-06

5.  Evaluating the potential effectiveness of using computerized information systems to prevent adverse drug events.

Authors:  J G Anderson; S J Jay; M Anderson; T J Hunt
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

Review 6.  Detection of medication-related problems in hospital practice: a review.

Authors:  Elizabeth Manias
Journal:  Br J Clin Pharmacol       Date:  2013-07       Impact factor: 4.335

7.  Identifying adverse drug events: development of a computer-based monitor and comparison with chart review and stimulated voluntary report.

Authors:  A K Jha; G J Kuperman; J M Teich; L Leape; B Shea; E Rittenberg; E Burdick; D L Seger; M Vander Vliet; D W Bates
Journal:  J Am Med Inform Assoc       Date:  1998 May-Jun       Impact factor: 4.497

8.  Adverse Drug Reactions Associated with Ceftaroline Use: A 2-Center Retrospective Cohort.

Authors:  Kimberly G Blumenthal; James L Kuhlen; Ana A Weil; Christy A Varughese; David W Kubiak; Aleena Banerji; Erica S Shenoy
Journal:  J Allergy Clin Immunol Pract       Date:  2016-04-27

9.  Potential identifiability and preventability of adverse events using information systems.

Authors:  D W Bates; A C O'Neil; D Boyle; J Teich; G M Chertow; A L Komaroff; T A Brennan
Journal:  J Am Med Inform Assoc       Date:  1994 Sep-Oct       Impact factor: 4.497

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.