Operating in the Cacophony: A quasi-experimental exploration of noises in the orthopedic surgery setting

Q2 Nursing
Amy Reed , Alaina Tellson
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引用次数: 0

Abstract

Purpose

The purpose of this study was to determine if an interactive educational program regarding noise reduction would reduce noise levels in an orthopedic OR setting.

Methods

A quasi-experimental design was used for this study.

Findings

Results from pre-intervention were lower than post intervention. The pre-intervention mean was 73.4 dB where the post-intervention was 74.1 dB. There was no statistically significance between pre- and post- intervention results (t = -1.292, p = 0.099). The results were in alignment with previous studies conducted on noise levels in the OR.

Conclusions

Staff in the OR should work to minimize noise and distraction which they can control, such as music levels and non-patient care conversations. Noise should be kept to an absolute minimum during critical phases of the intraoperative procedure such as time out periods, surgical counts, critical dissections, medication administration/graft preparations, confirming/opening of implant, induction and emergence from anesthesia, and care and handling of specimens.
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来源期刊
Perioperative Care and Operating Room Management
Perioperative Care and Operating Room Management Nursing-Medical and Surgical Nursing
CiteScore
1.30
自引率
0.00%
发文量
52
审稿时长
56 days
期刊介绍: The objective of this new online journal is to serve as a multidisciplinary, peer-reviewed source of information related to the administrative, economic, operational, safety, and quality aspects of the ambulatory and in-patient operating room and interventional procedural processes. The journal will provide high-quality information and research findings on operational and system-based approaches to ensure safe, coordinated, and high-value periprocedural care. With the current focus on value in health care it is essential that there is a venue for researchers to publish articles on quality improvement process initiatives, process flow modeling, information management, efficient design, cost improvement, use of novel technologies, and management.
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