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JAMIA 2006;13:372-377 doi:10.1197/jamia.M2069
  • Focus on e-Prescribing
  • Research Paper

Automated Surveillance for Adverse Drug Events at a Community Hospital and an Academic Medical Center

  1. Peter M Kilbridge,
  2. Udobi C Campbell,
  3. Heidi B Cozart,
  4. Maryam G Mojarrad
  1. Affiliations of the authors: Department of Pediatrics (PMK), Duke University School of Medicine, Duke University, Durham NC Duke Health Technology Solutions (PMK, UCC, HBc, MGM), Duke University Health System, Duke University, Durham NC
  1. Correspondence and reprints: Peter M. Kilbridge, M.D., Duke Health Technology Solutions, Duke University Health System, Box 2718, Durham, NC 27705; e-mail: <peter.kilbridge{at}duke.edu>
  • Received 31 January 2006
  • Accepted 5 April 2006

Abstract

Objectives To compare the rates and nature of ADEs at an academic medical center and a community hospital using a single computerized ADE surveillance system.

Design Prospective cohort study of patients admitted to two tertiary care hospitals.

Outcome Measure Adverse drug events identified by automated surveillance and voluntary reporting.

Methods We implemented an automated surveillance system across an academic medical center and a community hospital. Potential events identified by the computer were reviewed in detail by medication safety pharmacists and scored for causality and severity. Findings were compared between the two hospitals, and with voluntary reports from nurses and pharmacists.

Results Over the 8 month study period, 25,177 patients were admitted to the university hospital and 8,029 to the community hospital. There were 1,116 ADEs in 900 patients at the university hospital for an overall rate of 4.4 ADEs per 100 admissions. At the community hospital, 399 patients experienced 501 ADEs for a rate of 6.2 events per 100 admissions. Rates of antibiotic-associated colitis, drug-induced hypoglycemia, and anticoagulation-related ADEs were significantly higher at the community hospital compared with the university hospital. Computerized surveillance detected ADEs at a rate 3.6 times that of voluntary reporting at the university hospital and 12.3 times that at the community hospital.

Conclusions Operation of a common automated ADE surveillance system across hospitals permits meaningful comparison of ADE rates in different inpatient settings. Automated surveillance detects ADEs at rates far higher than voluntary reporting, and the difference may be greater in the community hospital setting. Community hospitals may experience higher rates of certain types of ADEs compared with academic medical centers.

Footnotes

  • This research was supported in part by Patient Safety Implementation grant number 1 UC HS014882 from the Agency for Healthcare Research and Quality.

  • The authors gratefully acknowledge the contributions of Asif Ahmad, M.B.A., for review of the manuscript; and Lawrence Muhlbaier, Ph.D., for assistance with statistical review.

    Preliminary data from the first two months of the eight-month study period described here was presented at the meeting of Agency for Healthcare Research and Quality Implementation Grantees, Washington, D.C., June 2005.

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The Journal of the American Medical Informatics Association is published for the American Medical Informatics Association by BMJ Publishing Group Ltd.