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. 2006 Feb;21(2):165-70.
doi: 10.1111/j.1525-1497.2006.00322.x. Epub 2005 Dec 22.

Voluntary electronic reporting of medical errors and adverse events. An analysis of 92,547 reports from 26 acute care hospitals

Catherine E Milch  1 , Deeb N Salem, Stephen G Pauker, Thomas G Lundquist, Sanjaya Kumar, Jack Chen
Affiliations

Voluntary electronic reporting of medical errors and adverse events. An analysis of 92,547 reports from 26 acute care hospitals

Catherine E Milch et al. J Gen Intern Med. 2006 Feb.

Abstract

Objective: To describe the rate and types of events reported in acute care hospitals using an electronic error reporting system (e-ERS).

Design: Descriptive study of reported events using the same e-ERS between January 1, 2001 and September 30, 2003.

Setting: Twenty-six acute care nonfederal hospitals throughout the U.S. that voluntarily implemented a web-based e-ERS for at least 3 months.

Participants: Hospital employees and staff.

Intervention: A secure, standardized, commercially available web-based reporting system.

Results: Median duration of e-ERS use was 21 months (range 3 to 33 months). A total of 92,547 reports were obtained during 2,547,154 patient-days. Reporting rates varied widely across hospitals (9 to 95 reports per 1,000 inpatient-days; median=35). Registered nurses provided nearly half of the reports; physicians contributed less than 2%. Thirty-four percent of reports were classified as nonmedication-related clinical events, 33% as medication/infusion related, 13% were falls, 13% as administrative, and 6% other. Among 80% of reports that identified level of impact, 53% were events that reached a patient ("patient events"), 13% were near misses that did not reach the patient, and 14% were hospital environment problems. Among 49,341 patient events, 67% caused no harm, 32% temporary harm, 0.8% life threatening or permanent harm, and 0.4% contributed to patient deaths.

Conclusions: An e-ERS provides an accessible venue for reporting medical errors, adverse events, and near misses. The wide variation in reporting rates among hospitals, and very low reporting rates by physicians, requires investigation.

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Figures

FIGURE 1
FIGURE 1
Diagram of impact level categories and study definitions.
FIGURE 2
FIGURE 2
Major categories of events within each impact level.
FIGURE 3
FIGURE 3
Proportions of events by major category within Patient Event impact levels. This figure represents impact levels within Patient Events only. Classification as in text.
See this image and copyright information in PMC

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