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PMID: 10672897 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Incidence and costs of adverse drug reactions during hospitalisation: computerised monitoring versus stimulated spontaneous reporting.

Drug safety ·Vol. 22 ·No. 2 ·2000-02-00 ·Pages 161-8

Dormann H, Muth-Selbach U, Krebs S, Criegee-Rieck M, Tegeder I, Schneider HT, Hahn EG, Levy M, Brune K, Geisslinger G

Abstract

To implement a computer-based adverse drug reaction monitoring system and compare its results with those of stimulated spontaneous reporting, and to assess the excess lengths of stay and costs of patients with verified adverse drug reactions. A prospective cohort study was used to assess the efficacy of computer-based monitoring, and case-matching was used to assess excess length of stay and costs. This was a study of all patients admitted to a medical ward of a university hospital in Germany between June and December 1997. 379 patients were included, most of whom had infectious, gastrointestinal or liver diseases, or sleep apnoea syndrome. Patients admitted because of adverse drug reactions were excluded. All automatically generated laboratory signals and reports were evaluated by a team consisting of a clinical pharmacologist, a clinician and a pharmacist for their likelihood of being an adverse drug reaction. They were classified by severity and causality. For verified adverse drug reactions, control patients with similar primary diagnosis, age, gender and time of admission but without adverse drug reactions were matched to the cases in order to assess the excess length of hospitalisation caused by an adverse drug reaction. Adverse drug reactions were detected in 12% of patients by the computer-based monitoring system and stimulated spontaneous reporting together (46 adverse reactions in 45 patients) during 1718 treatment days. Computer-based monitoring identified adverse drug reactions in 34 cases, and stimulated spontaneous reporting in 17 cases. Only 5 adverse drug reactions were detected by both methods. The relative sensitivity of computer-based monitoring was 74% (relative specificity 75%), and that of stimulated spontaneous reporting was 37% (relative specificity 98%). All 3 serious adverse drug reactions were detected by computer-based monitoring, but only 2 out of the 3 were detected by stimulated spontaneous reporting. The percentage of automatically generated laboratory signals associated with an adverse drug reaction (positive predictive value) was 13%. The mean excess length of stay was 3.5 days per adverse drug reaction. 48% of adverse reactions were predictable and detected solely by computer-based monitoring. Therefore, the potential for savings on this ward from the introduction of computer-based monitoring can be calculated as EUR56 200/year ($US59 600/year) [ 1999 values]. Computer monitoring is an effective method for improving the detection of adverse drug reactions in inpatients. The excess length of stay and costs caused by adverse drug reactions are substantial and might be considerably reduced by earlier detection.

MeSH Terms
Adverse Drug Reaction Reporting Systems/economics,standards Cohort Studies Computer Systems/economics,statistics & numerical data Drug Monitoring/economics,methods Drug-Related Side Effects and Adverse Reactions/economics,epidemiology Hospitalization/economics Humans Length of Stay/economics Monitoring, Physiologic/economics,methods Prospective Studies
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Dormann H
Department of Experimental and Clinical Pharmacology and Toxicology, University of Erlangen-Nuremberg, Erlangen, Germany. [email protected]
Muth-Selbach U
Krebs S
Criegee-Rieck M
Tegeder I
Schneider H T
Hahn E G
Levy M
Brune K
Geisslinger G
References (27)
27 references, click to expand
  1. Principles of signal detection in pharmacovigilance.
    Drug Saf. 1997 Jun;16(6):355-65 PMID: 9241490
  2. Adverse drug reactions leading to hospital admission.
    Drug Saf. 1991 Nov-Dec;6(6):450-9 PMID: 1793524
  3. Drug related admissions to medical wards: a population based survey.
    Br J Clin Pharmacol. 1992 Jan;33(1):61-8 PMID: 1540492
  4. Risk factors for adverse drug reactions--epidemiological approaches.
    Eur J Clin Pharmacol. 1990;39(4):321-5 PMID: 1981747
  5. Evaluating the potential effectiveness of using computerized information systems to prevent adverse drug events.
    Proc AMIA Annu Fall Symp. 1997;:228-32 PMID: 9357622
  6. Retrospective analysis of the frequency and recognition of adverse drug reactions by means of automatically recorded laboratory signals.
    Br J Clin Pharmacol. 1999 May;47(5):557-64 PMID: 10336581
  7. The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II.
    N Engl J Med. 1991 Feb 7;324(6):377-84 PMID: 1824793
  8. Frequency, severity and risk factors for adverse drug reactions in adult out-patients: a prospective study.
    J Chronic Dis. 1986;39(7):533-42 PMID: 3722316
  9. Mechanisms of unpredictable adverse drug reactions.
    Drug Saf. 1994 Sep;11(3):196-212 PMID: 7811401
  10. Computerized surveillance of adverse drug events in hospital patients.
    JAMA. 1991 Nov 27;266(20):2847-51 PMID: 1942452
  11. Preventing adverse drug events in hospitalized patients.
    Ann Pharmacother. 1994 Apr;28(4):523-7 PMID: 8038479
  12. Identifying adverse drug events: development of a computer-based monitor and comparison with chart review and stimulated voluntary report.
    J Am Med Inform Assoc. 1998 May-Jun;5(3):305-14 PMID: 9609500
  13. International drug monitoring. The role of the hospital.
    World Health Organ Tech Rep Ser. 1969;425:5-24 PMID: 4981079
  14. Under-reporting of adverse drug reactions.
    Br Med J (Clin Res Ed). 1985 May 4;290(6478):1355 PMID: 3922495
  15. Hospital admissions due to adverse drug reactions: a comparative study from Jerusalem and Berlin.
    Eur J Clin Pharmacol. 1980 Jan;17(1):25-31 PMID: 7371696
  16. Computerized surveillance of adverse drug reactions in hospital: implementation.
    Eur J Clin Pharmacol. 1999 Jan;54(11):887-92 PMID: 10027665
  17. A method for estimating the probability of adverse drug reactions.
    Clin Pharmacol Ther. 1981 Aug;30(2):239-45 PMID: 7249508
  18. Drug related hospital admissions: the role of definitions and intensity of data collection, and the possibility of prevention.
    J Intern Med. 1990 Aug;228(2):83-90 PMID: 2394974
  19. Computerized survelliance of adverse drug reactions in hospital: pilot study.
    Br J Clin Pharmacol. 1998 Mar;45(3):309-14 PMID: 10896407
  20. Indirect drug-related costs.
    Lancet. 1995 Mar 4;345(8949):588-9 PMID: 7776802
  21. The costs of adverse drug events in hospitalized patients. Adverse Drug Events Prevention Study Group.
    JAMA. 1997 Jan 22-29;277(4):307-11 PMID: 9002493
  22. [Unwanted drug effects in clinical practice].
    Dtsch Med Wochenschr. 1998 Apr 9;123(15):448-52 PMID: 9581159
  23. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies.
    JAMA. 1998 Apr 15;279(15):1200-5 PMID: 9555760
  24. Adverse drug events in hospitalized patients. Excess length of stay, extra costs, and attributable mortality.
    JAMA. 1997 Jan 22-29;277(4):301-6 PMID: 9002492
  25. Using a hospital information system to assess the effects of adverse drug events.
    Proc Annu Symp Comput Appl Med Care. 1993;:161-5 PMID: 8130454
  26. Incidence of adverse drug events and potential adverse drug events. Implications for prevention. ADE Prevention Study Group.
    JAMA. 1995 Jul 5;274(1):29-34 PMID: 7791255
  27. Drug utilization and adverse drug reactions in medical patients: comparison of two periods, 1969--72 and 1973--76.
    Isr J Med Sci. 1977 Nov;13(11):1065-72 PMID: 591300
Article Info
Journal
Drug safety
Abbr.
Drug Saf
ISSN
0114-5916
Published
2000-02-00
Pages
161-8
Language
English
Region
New Zealand
NLM ID
9002928
Subset
IM
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