Abstract
Falls remain a concern for healthcare organizations nationally. Fall rates at the site remained a concern, so an evidence-based approach was sought. The purpose of this quantitative, quasi-experimental quality improvement project was to determine if the implementation of Boynton's Bedside Mobility Assessment Tool (BMAT) used in conjunction with current fall practices would impact fall rates among patients 65 years and older undergoing a colonoscopy. The project was implemented in an ambulatory care setting in Southern California over four weeks. Sister Callista Roy's middle-range nursing theory, the adaptation model, and Neuman's systems theory were the scientific underpinnings of the project. Data on falls and mobility assessment were collected from the electronic health record on 90 patients, n = 45 in the comparative group and n = 45 in the implementation group. A chi-square test showed a clinical and statistically significant improvement in fall rates X2 (1, N= 90) = 8.39, p = .004. The results indicate the implementation of the BMAT used in conjunction with current fall practices may reduce fall rates in this population and setting. It is recommended that the BMAT be used with all patients undergoing all procedures, expand the implementation to other units, and disseminate the findings so other areas in healthcare may reduce patient falls.
Sigma Membership
Nu Upsilon
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Quasi-Experimental Study, Other
Research Approach
Quantitative Research
Keywords:
Falls, Older Adults, Sedation Assessment, Safe Patient Handling, Work-Related Injuries
Advisor
Joan Ralph Webber
Second Advisor
Lynette Sandiford
Degree
DNP
Degree Grantor
Grand Canyon University
Degree Year
2021
Recommended Citation
Ballinger, Racquel Hermosura, "Implementation of the bedside mobility assessment tool in the ambulatory care setting" (2022). Dissertations. 217.
https://www.sigmarepository.org/dissertations/217
Rights Holder
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Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2022-05-24
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 28963299; ProQuest document ID: 2623015937. The author still retains copyright.