Abstract

Inpatient falls have been a long-standing problem within health care around the world. The purpose of this project was to reduce inpatient falls through a standardized selection of multifactorial individualized nursing interventions. In the adult inpatient population on three medical-surgical units, how does the use of the Fall Prevention Algorithm compared to current inpatient fall prevention nursing care, affect the incidence rates of inpatient falls with and without injury within a one-month time period? Implementation of an organizationally adapted clinical practice guideline tool termed the Fall Prevention Algorithm through the use of facilitators. Quality improvement methodology with the Iowa Model for Evidence-Based Practice were used. Assumptions included that the use of clinical practice guideline(s) would reduce inpatient falls and that all the registered nurses (RN) uniformly understood and applied the piloted tool and workflow.

Author Details

Angela D. Oien, DNP, RN, NE-BC

Sigma Membership

Non-member

Type

DNP Capstone Project

Format Type

Text-based Document

Study Design/Type

Quality Improvement

Research Approach

Translational Research/Evidence-based Practice

Keywords:

Falls, Inpatient, Clinical Practice Guidelines, Evidence-based Practice, Facilitators

Advisor

Georgena Wiley

Second Advisor

Carolyn Washington

Third Advisor

Pam White

Degree

DNP

Degree Grantor

Capella University

Degree Year

2018

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

All permission requests should be directed accordingly and not to the Sigma Repository.

All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

None: Degree-based Submission

Acquisition

Self-submission

Date of Issue

2019-05-17

Full Text of Presentation

wf_yes

Download

Share

COinS