A Facilitated Survey Instrument Captures Significantly More Anesthesia Events Than Does Traditional Voluntary Event Reporting

Author:

Oken Andrew1,Rasmussen Mark D.2,Slagle Jason M.3,Jain Sonia4,Kuykendall Tod5,Ordonez Nelda6,Weinger Matthew B.7

Affiliation:

1. Associate Professor, Center for Perioperative Research in Quality, Departments of Anesthesiology and Biomedical Informatics, Vanderbilt University School of Medicine.

2. Assistant Professor, Uniformed Services University of the Health Sciences.

3. Assistant Professor.

4. Assistant Professor, Division of Biostatistics and Bioinformatics of the Department of Family and Preventive Medicine, University of California, San Diego.

5. IT Specialist–Data Management, Anesthesia Ergonomics Research Laboratory of the San Diego Center for Patient Safety at the Veterans Affairs San Diego Healthcare System.

6. Postdoctoral Research Associate, Anesthesia Ergonomics Research Laboratory of the San Diego Center for Patient Safety at the Veterans Affairs San Diego Healthcare System; Department of Anesthesiology, University of California, San Diego.

7. Professor, Center for Perioperative Research in Quality, Departments of Anesthesiology and Biomedical Informatics, Vanderbilt University School of Medicine; Geriatric Research, Education, and Care Center at the Middle Tennessee Veterans Affairs Healthcare System.

Abstract

Background This study sought to evaluate the effectiveness of an active survey method for detecting anesthesia nonroutine events (NREs). An NRE is any aspect of clinical care perceived by clinicians or observers as a deviation from optimal care based on the context of the clinical situation. Methods A Comprehensive Open-ended Nonroutine Event Survey (CONES) was developed to elicit NREs. CONES, which consisted of multiple brief open-ended questions, was administered to anesthesia providers in the postanesthesia care unit. CONES data were compared with those from the same hospital's anesthesia quality assurance (QA) process, which relied on self-reporting of predefined adverse events. Results CONES interviews were conducted after 183 cases of varying patient, anesthesia, and surgical complexity. Fifty-five cases had at least one NRE (30.4% incidence). During the same 30-month period, the QA process captured 159 cases with 96.8% containing at least one NRE among the 8,303 anesthetic procedures conducted (1.9% overall incidence). The CONES data were more representative of the overall surgical population. There were significant differences in NRE incidence (P < 0.001), patient impact (74.5% vs. 96.2%; P < 0.001), and injury (23.6% vs. 60.3%) between CONES and QA data. Outcomes were more severe in the QA group (P < 0.001). Extrapolation of the CONES data suggested a significantly higher overall incidence of anesthesia-related patient injury (7.7% vs. only 1.0% with the QA method). Conclusions An active surveillance tool using the NRE construct identified a large number of clinical cases with potential patient safety concerns. This approach may be a useful complement to more traditional QA methods of self-reporting.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Anesthesiology and Pain Medicine

Reference52 articles.

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