Dataset Information

Customizing Physiologic Alarms in the Emergency Department: A Regression Discontinuity, Quality Improvement Study.

ABSTRACT:

Introduction

Clinical alarms promote patient safety by alerting clinicians when there is an indication or change in a condition requiring a response. An excessive volume of alarm fires, however, contributes to sensory overload and desensitization, referred to as alarm fatigue, which has significant implications when alarms are missed. This evidence-based, practice project aimed to implement and evaluate a program that reduces the number of clinically nonactionable, physiologic alarms in an emergency department. Although alarm fatigue is an important negative consequence, the focus of this project is not on alarm fatigue but on measures to reduce the volume of clinically nonactionable alarms that lead to alarm fatigue. The Iowa Model was used as a conceptual framework.

Methods

This project involved adjusting default alarm settings and implementing an education plan on the safe use of alarms. The sample population included all patients on physiologic monitors at an emergency department. Retrospective data were collected, and regression discontinuity design was applied to compare the rate of alarm fires triggered by the physiologic monitor between pre- and postimplementation of an alarm protocol.

Results

A significant change in the rate of alarm fires occurred with an estimated reduction of 14.96 (P = 0.003). There were no reports of adverse outcomes such as a delay in responding to a change in patient condition or delay leading to cardiopulmonary arrest.

Discussion

A reduction in nonactionable, physiologic alarms was attained after implementing multimodal strategies inclusive of adjusting default settings, staff education on managing alarms, and emphasis on staff accountability.

SUBMITTER: Fujita LY

PROVIDER: S-EPMC7071970 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Publications

Customizing Physiologic Alarms in the Emergency Department: A Regression Discontinuity, Quality Improvement Study.

Fujita Liane Y LY Choi So Yung SY

Journal of emergency nursing 20191219 2

<h4>Introduction</h4>Clinical alarms promote patient safety by alerting clinicians when there is an indication or change in a condition requiring a response. An excessive volume of alarm fires, however, contributes to sensory overload and desensitization, referred to as alarm fatigue, which has significant implications when alarms are missed. This evidence-based, practice project aimed to implement and evaluate a program that reduces the number of clinically nonactionable, physiologic alarms in ...[more]

PMID: 31864768

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Dataset Information

Customizing Physiologic Alarms in the Emergency Department: A Regression Discontinuity, Quality Improvement Study.

Introduction

Methods

Results

Discussion

Publications

Customizing Physiologic Alarms in the Emergency Department: A Regression Discontinuity, Quality Improvement Study.

Similar Datasets

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