help button home button JAMIA Bigger figures
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

First published April 18, 2006 as JAMIA PrePrint; doi:10.1197/jamia.M2069
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
M2069v1
13/4/372    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kilbridge, P. M.
Right arrow Articles by Mojarrad, M. G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kilbridge, P. M.
Right arrow Articles by Mojarrad, M. G.
J Am Med Inform Assoc. 2006;13:372-377. DOI 10.1197/jamia.M2069.
© 2006 American Medical Informatics Association


Research Paper

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

Peter M. Kilbridge, MDa,b,*, Udobi C. Campbell, PharmDb, Heidi B. Cozart, RPhb and Maryam G. Mojarrad, MPHb

a Department of Pediatrics, Duke University School of Medicine, Duke University, Durham NC.
b Duke Health Technology Solutions, Duke University Health System, Duke University, Durham NC.

* Correspondence and reprints: Peter M. Kilbridge, M.D., Duke Health Technology Solutions, Duke University Health System, Box 2718, Durham, NC 27705 (Email: peter.kilbridge{at}duke.edu).

Received for publication: 01/31/06; accepted for publication: 04/05/06.

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.




This article has been cited by other articles:


Home page
J. Am. Med. Inform. Assoc.Home page
A. K. Jha, J. Laguette, A. Seger, and D. W. Bates
Can Surveillance Systems Identify and Avert Adverse Drug Events? A Prospective Evaluation of a Commercial Application
J. Am. Med. Inform. Assoc., September 1, 2008; 15(5): 647 - 653.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
P. M. Kilbridge and D. C. Classen
The Informatics Opportunities at the Intersection of Patient Safety and Clinical Informatics
J. Am. Med. Inform. Assoc., July 1, 2008; 15(4): 397 - 407.
[Abstract] [Full Text] [PDF]


Home page
PediatricsHome page
J. Ferranti, M. M. Horvath, H. Cozart, J. Whitehurst, and J. Eckstrand
Reevaluating the Safety Profile of Pediatrics: A Comparison of Computerized Adverse Drug Event Surveillance and Voluntary Reporting in the Pediatric Environment
Pediatrics, May 1, 2008; 121(5): e1201 - e1207.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
V. L. Hinrichsen, B. Kruskal, M. A. O'Brien, T. A. Lieu, R. Platt, and Vaccine Safety Datalink Team
Using Electronic Medical Records to Enhance Detection and Reporting of Vaccine Adverse Events
J. Am. Med. Inform. Assoc., November 1, 2007; 14(6): 731 - 735.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
S. M. Handler, R. L. Altman, S. Perera, J. T. Hanlon, S. A. Studenski, J. E. Bost, M. I. Saul, and D. B. Fridsma
A Systematic Review of the Performance Characteristics of Clinical Event Monitor Signals Used to Detect Adverse Drug Events in the Hospital Setting
J. Am. Med. Inform. Assoc., July 1, 2007; 14(4): 451 - 458.
[Abstract] [Full Text] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
S. T. Rosenbloom
Approaches to Evaluating Electronic Prescribing
J. Am. Med. Inform. Assoc., July 1, 2006; 13(4): 399 - 401.
[Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2006 by the American Medical Informatics Association.