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Notification of Abnormal Lab Test Results in an Electronic Medical Record: Do Any Safety Concerns Remain? - 19/08/11

Doi : 10.1016/j.amjmed.2009.07.027 
Hardeep Singh, MD, MPH a, , Eric J. Thomas, MD, MPH b, Dean F. Sittig, PhD c, Lindsey Wilson, MA a, Donna Espadas, BS a, Myrna M. Khan, PhD, MBA a, Laura A. Petersen, MD, MPH a
a Houston VA Health Services Research & Development Center of Excellence, The Center of Inquiry to Improve Outpatient Safety Through Effective Electronic Communication, Michael E. DeBakey Veterans Affairs Medical Center and the Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Tex 
b Division of General Medicine, Department of Medicine, University of Texas at Houston-Memorial Hermann Center for Healthcare Quality and Safety, University of Texas Medical School at Houston 
c University of Texas School of Health Information Sciences and the UT-Memorial Hermann Center for Healthcare Quality & Safety, Houston 

Requests for reprints should be addressed to Hardeep Singh, MD, MPH, VA Medical Center (152), 2002 Holcombe Blvd., Houston, TX 77030

Abstract

Background

Follow-up of abnormal outpatient laboratory test results is a major patient safety concern. Electronic medical records can potentially address this concern through automated notification. We examined whether automated notifications of abnormal laboratory results (alerts) in an integrated electronic medical record resulted in timely follow-up actions.

Methods

We studied 4 alerts: hemoglobin A1c ≥15%, positive hepatitis C antibody, prostate-specific antigen ≥15 ng/mL, and thyroid-stimulating hormone ≥15 mIU/L. An alert tracking system determined whether the alert was acknowledged (ie, provider clicked on and opened the message) within 2 weeks of transmission; acknowledged alerts were considered read. Within 30 days of result transmission, record review and provider contact determined follow-up actions (eg, patient contact, treatment). Multivariable logistic regression models analyzed predictors for lack of timely follow-up.

Results

Between May and December 2008, 78,158 tests (hemoglobin A1c, hepatitis C antibody, thyroid-stimulating hormone, and prostate-specific antigen) were performed, of which 1163 (1.48%) were transmitted as alerts; 10.2% of these (119/1163) were unacknowledged. Timely follow-up was lacking in 79 (6.8%), and was statistically not different for acknowledged and unacknowledged alerts (6.4% vs 10.1%; P =.13). Of 1163 alerts, 202 (17.4%) arose from unnecessarily ordered (redundant) tests. Alerts for a new versus known diagnosis were more likely to lack timely follow-up (odds ratio 7.35; 95% confidence interval, 4.16-12.97), whereas alerts related to redundant tests were less likely to lack timely follow-up (odds ratio 0.24; 95% confidence interval, 0.07-0.84).

Conclusions

Safety concerns related to timely patient follow-up remain despite automated notification of non-life-threatening abnormal laboratory results in the outpatient setting.

El texto completo de este artículo está disponible en PDF.

Keywords : Abnormal diagnostic test results, Communication, Diagnostic errors, Electronic medical records, Health information technology, Patient follow-up, Patient safety, Primary care


Esquema


 Funding: The study was supported by an NIH K23 career development award (K23CA125585) to Dr. Singh, the VA National Center of Patient Safety, Agency for Health Care Research and Quality Health Services Research Demonstration and Dissemination Grant (R18 HS17244-02) to Dr. Thomas, and in part by the Houston VA Health Services Research & Development Center of Excellence (HFP90-020). These sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript.
 Conflict of Interest: The authors have no conflicts of interest to report.
 Authorship: All authors had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
 The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs.


© 2010  Publicado por Elsevier Masson SAS.
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