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Attached.
Attached.

Assessing the Effectiveness of Telesitter Systems in Reducing Patient Falls
Submitted by
Njideka Laura Akubuilo

Direct Practice Improvement Project Proposal
Doctor of Nursing Practice

Grand Canyon University
Phoenix, Arizona
September 19, 2018

iv

GRAND CANYON UNIVERSITY

Assessing the Effectiveness of Telesitter Systems in Reducing Patient Falls
Submitted by
Njideka Laura Akubuilo

has been approved

December 31, 2018

APPROVED:
Full Legal Name, Ed.D., DBA, or Ph.D., DPI Project Chairperson
Full Legal Name, Ed.D., DBA, or Ph.D., Committee Member
Full Legal Name, Ed.D., DBA, or Ph.D., Committee Member

ACCEPTED AND SIGNED:
________________________________________
Lisa Smith, PhD, RN, CNE
Dean and Professor, College of Nursing and Health Care Professions
_________________________________________
Date

Revised 10/26/2018 DNP Team (Learner: Please remove this footer)

Abstract
Patient falls remains as one of the major challenges to the healthcare sector. Patient
falls has many negative consequences on the patient as well as the health institution.
Patients endure extended hospital stays, head injuries, broken limbs, increased pain and
suffering, and many other problems. This therefore necessitates that new and better
interventions be coined to help in reducing the rate of patient falls. This project focusses
on identifying the factors causing falls when using the Telesitter monitoring systems, as
well as identifying the solutions to the identified problems. This project uses the
Nightingale environmental theory of nursing and Newman’s theory of health as expanding
consciousness. The findings from this project indicate that combining the use of Telesitter
systems and Fallarm tactile sensor wearable device can help to enhance the effectiveness
of Telesitter systems as a falls reduction intervention. The Fallarm device helps by
sounding an alert whenever the fall risk of the patient is escalated. This intervention will
ensure that patients with high fall risk probability are closely monitored through the
Telesitter monitoring system as well as the tactile sensor device, ensuring that their
probability of falls is greatly reduced. This recommendation is also in line with Johnson
(2014), whose research found out that the best approach to solve patient falls is using multiinterventional approach. Implementing the two technological interventions in the
healthcare system is deemed to have invaluable benefits in reducing falls rate as well as
boosting quality of care.

Keywords: Patient falls, Fallarm, Telesitter monitoring systems, fall prevention,
acute care, and fall risk.

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Dedication
I dedicate this project to all patients receiving care in the critical care unit,
progressive care unit, and the oncology unit. They are more prone to falls and I am
confident that the findings from this project will help to reduce fall risk. I am sure that
successful implementation of the proposals in this project will help in catering for the
needs of the targeted patient population, thus reducing falls as much as possible.

Revised 10/26/2018 DNP Team (Learner: Please remove this footer)

vii
Acknowledgments
I take this precious opportunity to thank God Almighty for his infinite mercy and
strength He gave me throughout this project. I also seize this opportunity to thank my
supervisor and the committee team for their dedication and support, and immense
contribution academically in approving this project. They have helped me shape this
project into a professional scholarly project and I am confident that it will help to
transform healthcare delivery in the acute care setting. I also thank my parents for their
contributions spiritually, morally, and financially. I also thank my siblings and friends for
their spiritual and moral support during the entire time of the project; I appreciate all of
you. God Bless you all.

Revised 10/26/2018 DNP Team (Learner: Please remove this footer)

viii
Table of Contents
List of Tables ..................................................................................................................... ix
List of Figures ......................................................................................................................x
Chapter 4: Data Analysis and Results ..................................................................................1
Descriptive Data.............................................................................................................2
Data Analysis Procedures ..............................................................................................4
Results ............................................................................................................................9
Summary ......................................................................................................................10
Appendix A ........................................................................................................................12

Revised 10/26/2018 DNP Team (Learner: Please remove this footer)

ix
List of Tables
Table 1 .................................................................................................................................3
Showing demographic characteristics of participants ........................................................3
Table 2 .................................................................................................................................4
Showing number of patient falls per week in the Surgical/oncology and the ......................4
Progressive care units..........................................................................................................4
Table 3 .................................................................................................................................6
Showing descriptive information of the causes of falls and the possible solutions .............6
to falls in the Surgical/oncology ..........................................................................................6
Table 4 .................................................................................................................................7
Showing the descriptive information on the causes of falls and the possible solutions in
the progressive care unit. .....................................................................................................7

Revised 10/26/2018 DNP Team (Learner: Please remove this footer)

x
List of Figures
Graph 1.................................................................................................................................6
Comparison of patient falls in the Surgical/oncology and the Progressive care ................6
units ......................................................................................................................................6

Revised 10/26/2018 DNP Team (Learner: Please remove this footer)

1
Chapter 4: Data Analysis and Results
This chapter will focus on the data sorting, evaluation, and statistical analyses as
well as the presentation of the results. It will highlight findings on the factors causing
falls, their prioritization, and how the factors relate in the two units. In addition, this
section will present the proposed solutions to the identified problems and evaluate which
solutions are more recurrent in the selected incidents. It is expected that merging and
sorting the factors causing falls from the surgical/oncology unit and Progressive care unit
at Southern California Hospital will help in understanding the challenges facing the
Telesitter systems as a falls reduction tool.
It is also expected that combining the use of the Telesitter systems with the
Fallarm wearable device will help to improve surveillance among the high fall-risk
patients (Delahoz & Labrador, 2014). After fixing the challenges facing the Telesitter
systems, combining it with the Fallarm equipment is expected to present a more reliable
and effective tool in reducing falls. The Fallarm device is a viable healthcare delivery
mechanism considering that one device can serve many patients through its lifespan. It is
thus economical and both efficient in ensuring that patients are safe from falling. The
combination of the two interventions is also consistent with Jackson’s (2016) findings,
which indicated that using a multi-interventional protocol has higher probability of being
effective in reducing patient falls as compared to relying on one intervention.
The data analysis will follow the exploratory-descriptive research design. The
incident reports will be the main source of data for this project. This will entail evaluating
the incident reports to identify the potential factors that led to the falls, as well as
identifying the proposed solutions. Getting a detailed list of these factors will then guide
in finding out which factors are more predominant in the two clinical units. This will then

2
guide in reaching conclusions for the best solution to the identified challenges.
This section of the project will give findings that will help in answering the main
research questions:
•

What are the challenges associated with using the Telesitter monitoring
system as a falls reduction intervention?

•

What solutions can be implemented to avoid these challenges and make
the Telesitter systems more reliable and effective as a falls reduction
intervention?

It is expected that the findings from this project will enable in aptly answering
these questions, thus enhancing the effectiveness of the Telesitter systems as a falls
prevention tool. The data analysis will entail giving detailed data tables for the findings
of the possible causes of falls in the two units. The data will mainly be descriptive in
nature, but sorting the dat...


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