Document Type

Dissertation

Degree

Doctor of Nursing Practice

Major

Nursing

Date of Defense

7-6-2022

Graduate Advisor

Nancy Magnuson, DSN, APRN, PCNS, FNP-BC, College of Nursing

Co-Advisor

Susan Dean-Baar, PhD, RN, CENP, FAAN

Committee

Amber Bailor, MSN, MBA, BSN

Abstract

Abstract

Problem: Falls are one of the most frequently occurring safety events in hospitalized patients, resulting injuries that can be devastating and burdensome. Patients in neuro-telemetry unit are at greater risks for falls due to their conditions. The continuous video monitoring (CVM) program was implemented to reduce fall rates in the neuro-telemetry unit. This project was to examine the effectiveness of CVM program in reducing fall rates.

Method: A pre- and post-implementation observational evaluation was conducted. By reviewing retrospective data from January 1, 2020 to January 31, 2021 for pre-implementation period and from March 1, 2021 to October 31, 2021 for post-implementation period, fall rates were compared and common risk factors of falls were identified.

Results: A one tailed t-test was performed to determine the effectiveness of CVM. The result was not significant (t(14)=0.59, p=0.33), but there was 12.7% reduction of fall rates during the post-implementation period. No injury from falls occurred in patients who were on monitor and injury rates of both pre-and post-implementation periods were much lower than the national average. Confusion was the most common risk factor of falls and having 2 or more risk factors was a good indicator of falls.

Conclusion: Despite the statistical insignificance, CVM is safe and effective in preventing falls as evidenced by clinically significant reduction of falls by 12.7%. CVM may be useful in reducing costs and preventing other safety events. Hospital should refine of CVM protocol and provide education, and training on an ongoing basis.

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