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Implementation of a Fall Prevention Toolkit on a Medical Surgical Unit

Item Type DNP Project

Authors Khandagale, Usha

Publication Date 2021-05

Abstract Problem: In-hospital falls result in patient harm which includes minor injury, psychological distress and anxiety, and serious injuries like fractures, head trauma, and even death. The Joint Commission consistently ranks falls with serious injury as ...

Keywords Tailoring Interventions for Patient Safety (TIPS); Accidental Falls--prevention & control; Inpatients; Quality Improvement

Download date 02/08/2022 00:19:56

Link to Item http://hdl.handle.net/10713/15802

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 1

Implementation of a Fall Prevention Toolkit on a Medical Surgical Unit

Usha Khandagale

Under Supervision of

Brenda Windemuth

Second Reader

Kathleen Buckley

A DNP Project Manuscript

Submitted in Partial Fulfillment of the Requirements for the

Doctor of Nursing Practice Degree

School of Nursing, University of Maryland at Baltimore

May 2021

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 2

Abstract

Problem: In-hospital falls result in patient harm which includes minor injury, psychological

distress and anxiety, and serious injuries like fractures, head trauma, and even death. The

Joint Commission consistently ranks falls with serious injury as one of the top sentinel

events. An acute care medical surgical unit in a community-based hospital experienced an

increase in the number of falls with an overall fall rate higher than that of peer units.

Purpose: The purpose of this Quality Improvement (QI) project was to implement and

evaluate the benefits of, and staff adherence to, the use of Fall TIPS (Tailoring Intervention

for Patient Safety) toolkit to reduce falls on a medical surgical unit.

Methods: The Fall TIPS toolkit was designed to decrease the patient fall rate in hospitals and

engage patients and their families in a 3-step fall prevention process including performing a

fall risk assessment, creating a tailored fall prevention plan, and executing the plan regularly.

Implementation of a Fall TIPS toolkit with auditing transpired weekly over 10 weeks on a

medical surgical unit. Nurses’ adherence to the Fall TIPS protocol was measured weekly

during implementation.

Results: The results indicated that nurses’ adherence to use of the Fall TIPS toolkit averaged

78%. The run chart analysis of nurses’ adherence did not show any shifts or astronomical

datapoints, and the number of runs was consistent with random variation. However, there was

a 6-point upward trend in the data during weeks 2 to 7, indicating a special cause. Fall rates

during the first two months of implementation were 3.39 and 2.41 per 1000 patient-days

respectively, and dropped to zero during the third month.

Conclusion: Nurses’ adherence to a Fall TIPS toolkit was demonstrated on a medical

surgical unit, which likely resulted in a decreased patient fall rate during the final month of

the project. Additional time will be needed to determine if the practice changes and outcomes

are sustainable.

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 3

Introduction

Unfortunately, falling during hospitalization remains common. According to the

Agency of Health Care Research (AHRQ, 2019) falls occurred at a rate of 3-5 per 1000 bed-

days, and an estimated 700,000 to 1 million hospitalized patients fall annually in the United

States. More than one-third of in-hospital falls result in patient harm which includes minor

injury, psychological distress and anxiety, and serious injuries like fractures, head trauma,

and even death (AHRQ, 2019). The Joint Commission’s (2015) Sentinel Event database

consistently ranks falls with serious injury in the top 10. The 2017 Maryland Hospital Patient

Safety Program’s Annual Report showed that falls (27%) were a top-five most adverse

hospital event leading to death or serious disability (2017).

A medical surgical unit at a community-based hospital experienced an increased fall

rate, higher than that of peer units. The unit staff were asked about their view of why patients

fell in the unit. The staff responded that the patients’ falls were due to communication

problems of patients not calling for help when getting out of bed. The director of the unit also

reported that there was inadequate and incomplete information at the bedside and variability

among team members regarding the patients’ fall risk status and the plan to prevent falls.

The Centers for Medicare and Medicaid Services (CMS; 2019) considers falls to be

preventable. Therefore, they are no longer reimbursing costs associated with falls, deeming

them to be events that should not occur during hospitalization. Fall TIPS is a tailored

evidence-informed preventative bedside intervention tool to decrease falls in hospitalized

patients (Dykes et al., 2019). The purpose of this QI project was to implement and evaluate

the benefits of, and staff adherence to, Fall TIPS to reduce fall rates on a medical surgical

unit.

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 4

Literature Review

The evidence review supported an implementation of Fall TIPS program focused on

in-patient fall prevention, designed to implement patient safety, predominantly fall

prevention. The literature review emphasized the following themes that supported the Fall

TIPS protocol: (a) Fall TIPS lowered fall rates in hospitals; (b) patient, family, nursing, and

leadership engagement was key to effectiveness of Fall TIPS; and (c) exposure to Fall TIPS

positively influenced patient knowledge, skill, and confidence in managing their own health.

The need to implement patient safety and prevent falls is supported by various

studies. A randomized controlled trial by Dykes et al. (2010) revealed that Fall TIPS by

leveraging Health Information Technology significantly reduced falls by 25% in four acute

care hospitals on more than 10,000 patients, and was particularly effective in patients aged

sixty-five or older. Based on those results, Fall TIPS could prevent one fall per day, 7.5 falls

every month, and 90 falls per year in the intervention units. Dykes et al. (2012) used data

mining and modeling techniques to determine the factors related to falls on intervention units

when Fall TIPS was in place. The results revealed that a fall prevention toolkit rationale was

accurate to decrease falls, but strategies were required to improve patient and care team

adherence to the fall prevention intervention suggested by Fall TIPS. Both studies found that

the Fall TIPS intervention was associated with a significant reduction in the fall rate and

injury rate (Dykes et al., 2017, 2020).

When patient engagement was added to the Fall TIPS protocol and tools were

developed to encourage patient and family engagement, there was a decrease in fall and

injury rates demonstrating an increase in effectiveness of Fall TIPS intervention as patient

engagement increased (Dykes, et al., 2017, 2020). Both studies concluded that engaging

hospital staff and clinical leadership was vital in transforming the evidence-based care into

the clinical workflow. According to Duckworth et al. (2019), the three modalities of Fall

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 5

TIPS: Electronic Health Record (EHR) version, a laminated paper version, and the bedside

display version suggest that each fall TIP modality is effective at engaging patients in the 3-

step fall prevention process that includes:

1. Performing fall risk assessment.

2. Creating a tailored fall prevention plan.

3. Executing the tailored fall prevention plan regularly.

A mixed method study by Leung et al. (2017) found that fall risk and fall prevention icons for

a beside toolkit facilitated patient, family and care team engagement to accurately assess fall

risk and a tailored fall prevention plan, resulting in enhanced adherence to Fall TIPS and

reduced falls. A multisite qualitative study conducted by Carter et al. (2020) supported that

one of the barriers to Fall TIPS adoption was poor patient engagement routines among staff

resulting in limited patients’ active participation in fall prevention. Successful execution of

Fall TIPS adoption required staff engagement of patients. Both studies revealed that patient

engagement in the 3-step fall prevention process increased the effectiveness of Fall TIPS

intervention and fall prevention (Carter et al., 2020; Duckworth et al., 2019).

Both studies by Dykes et al. (2017) and Fowler and Reising (2021) included pre- and

post-survey results that showed that Fall TIPS adoption improved patients’ knowledge of the

falls risk factors and fall prevention plan. Improved patient knowledge resulted in a decrease

in fall rates. A multisite study by Christiansen et al. (2020) showed patient activation, which

refers to a patient’s understanding, ability, and self-confidence in overseeing his or her own

health, increased from pre-intervention to post-intervention at the three healthcare system

sites with the access to Fall TIPS. However, it was vital that care team members engaged

patients in their fall prevention plan to increase knowledge, confidence and skill.

Based on an evidence review, adoption of a Fall TIPS program on high fall-risk units

lowered fall rates; improved patient, family, nursing and leadership engagement in the 3-step

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 6

fall prevention strategies; and influenced patients’ confidence in managing their own health

(see Appendix A).

Theoretical Framework

Kurt Lewin’s Change theory was utilized to guide this quality improvement project.

There were three main stages to Lewin’s Change Theory: unfreezing, changing, and

refreezing (Lewin, 1947). Unfreezing included creating a motivation to change the current

practice and preparing for a change. According to Shirey (2013), a change agent is required.

For instance, a nurse leader seeing a problem, and activating others to see the need for

change. In the changing or moving stage, a comprehensive plan of action was created and

staff were willing to try out the action plan. Refreezing entailed sustaining the change so that

it became ingrained into the existing systems such as policies and practices.

The problem identified during the unfreezing stage was increased number of falls in

the medical surgical unit. The change needed was to implement Fall TIPS—a fall prevention

toolkit. The unfreezing stage consisted of identification of stakeholders who had a direct

impact on the success of the project, engaging stakeholders in adopting the Fall TIPS toolkit

(Falls TIPS Collaborative, n.d.), and sharing evidence-based findings on Fall TIPS with the

stakeholders and QI team during the Fall Task Force meetings and huddles. Motivation was

needed to change the current practice which lacked personalized fall risk assessment and a

fall prevention plan. This was accomplished by engaging patients and their families in their

personalized fall risk and fall prevention plans. The changing stage included the

implementation of Fall TIPS. During this stage the stakeholders, champions and unit staff

received education on implementation of Fall TIPS protocol. After training, the need for

change was created and staff training on the Fall TIPS protocol was accomplished. The 3rd

stage, refreezing, involved stabilization of the change when FALL TIPS became a standard

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 7

for the medical surgical population. The utilization of Lewin’s Change Theory was vital to

guiding the implementation of the QI project.

Methods

The purpose of this quality improvement project was to implement the Fall TIPS

(Tailoring Interventions for Patient Safety) toolkit, developed by the Falls TIPS Collaborative

at Brigham and Women’s Hospital and Harvard Medical School (Falls TIPS Collaborative,

n.d.). The project was carried out at a community-based hospital in a 32- bed acute care

medical surgical unit with patients having orthopedic, neurological and oncology conditions.

Inclusion criteria required that patients be hospitalized for at least one day and be alert and

oriented. A 66-member care team was involved in this project. Included were day and night

shift change champions (i.e., five Nurses, three Certified Nursing Assistants or CNA’s, one

Physical Therapist, one Occupational Therapist and two Housekeeping staff), 38-unit nurses

and 16 CNA’s.

The Fall TIPS readiness implementation checklist was used to guide hospital

leadership and staff to prepare for the implementation (see Appendix B). The practice change

was implemented by the nurses over 10 weeks following a 2-week period in which training

was completed (see Appendix C). A completed description of implementation of the Fall

TIPS process was shown in Table 1. A written commitment was obtained from change

champions for adoption; and spread of the new innovation as shown in Appendix D. The

lesson plan was executed for Fall TIPS education (see Appendix E). Pre-implementation

training on the Fall TIPS protocol occurred for day and night shift in twelve separate formal

presentations until the entire unit of 66 staff and stakeholders received education. Fall TIPS

training included: a PowerPoint presentation, handouts, educational binders, performing an

accurate Morse Fall Scale (MFS) assessment, the 3-step Fall prevention process, and one-to-

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 8

one case study review with role play of nurse-patient interaction. Nurses received the Fall

Prevention Knowledge Test (FPKT) (see Appendix F) to evaluate perceived knowledge in

fall prevention. The paired pretest and posttest FPKT were based on True and False response

with the coding option of 1 for the right and 0 for the wrong answer. Permission to utilize the

Fall TIPS toolkit was granted by the Fall TIPS study group as documented in Appendix G.

The practice change was initiated subsequent to 2-week training. Over the following

10 weeks, nurses utilized the laminated Fall TIPS poster (11x17 inches) to engage and

educate eligible patients and their families in the three-step fall prevention process (see

Appendix H). The poster was hung on the door across the patient’s bed for visibility. Nurses

updated the poster daily on the patient’s current status and reviewed the information on the

tool at least once per shift and as needed. The Fall TIPS Quality Audit Instruction was used

to guide the audit process (see Appendix I). Data was collected through observation by

change champions weekly using the Fall TIPS Quality Audit Tool, which measured the

nurse’s adherence to, and patients and families engagement in the fall risks and prevention

plan (see Appendix J). The paper pencil tool extracted anonymous data. The first 3 questions

require a yes/no response by the auditor. If there was a “no” response to any of the first 3

questions, then the auditor was asked if they had provided peer-to-peer feedback to the staff.

The 3 questions included the Fall TIPS poster hanging on the door across from the patient’s

bed with a correct date, while patient and family were required to verbalize fall risk factors

and the fall prevention plan. Peer-to-peer feedback was provided if any question was

answered “No”. The completed data was entered in the REDCap electronic data capture tools

hosted at University of Maryland, Baltimore. The monthly fall rate per 1000 patient-days was

tracked from Quality Services department.

The project leader retrieved the de-identified pretest and the posttest FPKT responses

from REDCap; and ensured that responses were matched by using paired t-test. Nurse’s

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 9

adherence to ensuring Fall TIPS toolkit was complete with correct date, risk factors and fall

prevention plan and family engagement on knowledge of fall risk and prevention was

calculated in percentages. A project summary was submitted to the University of Maryland

Baltimore Human Research Protections Office (HRPO) for a Non-Human Subjects Research

(NHSR) determination. The results of the Fall TIPS Quality Audit Tool was stored on an

internal password protected computer.

Results

The pre-implementation education on Fall TIPS protocol occurred in 12 separate face-

to-face formal sessions. A total of 43 nurses received education. Nurses received the FPKT to

evaluate their perceived knowledge in fall prevention. A paired t-test was utilized to assess

the nurses’ perceived knowledge in fall prevention pre- and post-education. The results from

the pre-test (M = 0.42, SD = 0.098) and post-test (M =0.42, SD =0.135) for the FPTK

indicated that the training resulted in no significant improvement in the nurse’s knowledge

t=0.00 p = 1.00.

The nurse’s adherence to fall TIPS on the 3 question yes/no response was analyzed on

a weekly basis as shown in the run chart in Figure 1. Change champions performed a total of

259 Fall TIPS Quality Audits. The 194 observations recorded on the Fall TIPS audit were

100% complete. The overall nurse’s adherence rate for the 10 weeks of implementation was

78%; the target goal was set at 100%. The preliminary adherence rate during the first three

weeks of implementation was 56%, 61.5% and 73.9% respectively and progressively

improved to 96% at the end of 10 weeks. Run chart analysis did not show any shifts or

astronomical datapoints, and the number of runs was consistent with random variation.

However, there was a 6-point upward trend in the data during weeks 2 to 7 demonstrating a

non-random pattern due to a special cause (see Figure 1).

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 10

The monthly pre- and post-implementation of fall rate per 1000 patient-days data was

tracked from the hospital Quality Services and analyzed in a run chart (Figure 2). Prior to

implementation the fall rates for the months of July and August were 2.19 and 4.59 per 1000

patient-days respectively. Fall rates during implementation in the months of October and

November were 3.39 and 2.41 per 1000 patient-days respectively. No falls occurred in the

month of December. Run chart analysis did not show runs, shifts or trends. However, there

was an astronomical point noted in the month of December when there were no falls.

Discussion

The aim of this project was to decrease falls by improving patient engagement in fall

risks and fall prevention plan with communication across care team members. Although all

the nurses were trained on the Fall TIPS protocol, their lack of improvement in scores on the

post-test may have been due to nurses’ fatigue. The project took place during the COVID-19

pandemic, and the medical surgical unit was experiencing increased patient acuity and

census, high staff turnover, and shortage of staff, and constant change. Competing demands

on nursing staff to complete annual competencies also created challenges and time

constraints on the implementation. The barrier of lack of awareness and familiarity to the new

protocol, despite being trained on Fall TIPS protocol, was addressed by the project leader and

nurse champions providing “Just-in-time” training sessions to all staff, to remedy concerns

and answer questions. This tactic was similar to one used by Dykes et al. (2017) who

developed and implemented the Fall TIPS toolkit.

Strategies to overcome the low adherence rate to the protocol during the first three

weeks of the project included, constant communication with the unit staff by spreading

awareness, removing knowledge barriers by small group discussion and one-on-one

education. Daily shift huddles, staff meetings, a fall prevention bulletin board, and study

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 11

references at both nurse’s stations offered verbal and visual occasions for communication

about falls. Engagement of leadership at the unit level improved awareness of the new

evidence. These approaches were comparable to those used by Carter et al. (2020) who

identified engagement of leadership commitment, staff and patients was key in transforming

effective adoption of Fall TIPS. Involving unit change champions to provide peer-feedback,

reeducation, and promoting consistent application and adoption of Fall TIPS improved

awareness.

The results indicated that the strategies and tactics used had a positive impact on the

nurses’ adherence to the Falls TIPS toolkit. The nurses reached their highest adherence rate

of 96% the first week of December. This may have been due to multiple reasons that included

the unit director requiring nurses to complete the Fall TIPS poster at the bedside during the

change of shift handoff. The Assistant Nurse Manager (ANM) and charge nurses also began

performing random spot checks daily by observation during each shift, for completion of the

Fall TIPS poster. The dramatic shift in the fall rate to no falls during the month of December

was also likely related to this high adherence rate. Other reasons that may have contributed

to these positive findings included the improvement of the fall communication among care

teams, patients and families. Nurses were in agreement that the Fall TIPS was an effective

prevention tool as it engaged patients and families in their prevention process. Patients

increased their rate for calling for assistance for getting out of bed or with toileting, due to

enhanced awareness of fall risks factors and the fall prevention plan. This result was

comparable to the findings by Fowler and Reising (2021) who suggested that with the Fall

TIPS adoption there was improved patients’ knowledge of their fall risk factors and fall

prevention strategies.

While there was a decline in the fall rate per 1000-patient days, from a high of 3.39 in

October to zero in December, more time is needed to determine if this decline will continue

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 12

beyond implementation. It is probable that an increase in the nurses’ adherence to the Fall

TIPS protocol affected the unit fall rates. The results were comparable to the previous studies

by Dykes et al. (2010) and Dykes et al. (2012), which demonstrated that the adoption of the

Fall TIPS toolkit as associated with a decrease in fall rates. All fall risks patients were put on

bed alarms as per hospital policy, which may have contributed to alarm fatigue and noise in

the environment and possibly resulted in falls. This concern resulted in the decision by the

project leader and stakeholders to not use bed alarms on every patient at risk for falls, which

is consistent to the approach taken by Dykes et al., (2018) in their implementation of the

toolkit. However, patients who were not reliable to call for help when required, were placed

on a bed alarm.

The findings of this QI project are not generalizable to other settings and are limited

to a single patient unit with medical surgical patients at the center. Due to the pandemic

nurses expressed fatigue due to constant new changes, which may have limited their

adherence to the fall prevention measures.

Conclusion

Overall, the Fall TIPS toolkit was beneficial and effective in enhancing the awareness

of unit staff on the medical surgical unit and increasing nursing adherence to fall prevention

measures. The Fall TIPS poster completion and engagement of patients and their families

appeared to have an impact on reducing patient falls for the final month of the project. The

project results also revealed increased engagement of patients and their families to identify

fall risk factors and related prevention plan.

There is an increased prospect for sustainability of the project. The stakeholders have

been involved from the start of the project and have shown great interest during the entire

implementation process. There was significant leadership support and nurses taking the role

of change champions by performing audits, providing peer-feedback, reeducating, and

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 13

promoting adoption and consistent application of Fall TIPS. The clinical nurse specialist

continues to perform periodic spot checks 3-4 times per week on the unit for adherence to the

Fall TIPS protocol. The unit secretaries are ensuring the availability of the Laminated Fall

TIPS posters in English and Spanish and dry-eraser markers. While these enhanced

engagements suggest a culture prepared to support a new evidence-based practice change,

additional time will be needed to determine if the practice changes and outcomes are

sustainable.

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 14

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IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 15

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IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 16

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IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 17

Table 1

Description of Implementation Process of Fall TIPS toolkit

Motivating change • Engaged stakeholders in adopting the laminated paper Fall TIPS poster as an evidence-based tool to decrease falls

• Presentation of the evidence was performed in Fall Task Force meeting, leadership meeting and staff unit huddles

• Quality Services involved for monthly fall rate information

• Identified champions for day and night shift

Planning and set up • Set up for adoption and spread was performed by targeting patient population in the medical surgical unit with high fall rate

• Supported secured from unit level leadership which included unit director, ANM, and Charge Nurses

• Fall TIPS readiness implementation checklist was used to guide the quality improvement project

• Utilized native communication such as staff meetings and morning and evening huddles to spread the innovation

Education • Unit staff received pre-implementation training on Fall TIPS protocol with Fall TIPS instruction sheet

• Nurses completed the Fall pre and post paired FPKT

• Nurses utilized the Laminated Fall TIPS poster to engage patients and their families in the three-step fall prevention process

• Train-the-trainer sessions were utilized for new staff and staff identified as having poor completion rate for Fall TIPS

• Fall TIPS information sheet was provided to patients

Establishing Care

goals • Change champions performed audits to measure adherence rate and

patient compliance to Fall TIPS

• Change champions provided prompt feedback to nurses as needed post audit

• Change champions were taught to assist with training

• Adherence to the Fall TIPS was performed by weekly spot checks in the unit to observe whether Fall TIPS is complete with correct date,

risk factors and prevention plan

Continuous

monitoring and

feedback

• Continued the spread and utilization of Fall TIPS by engaging leadership, unit director, ANM charge nurses and clinical nurse

specialist,

• Biweekly report shared with unit staff, director and committee leaders on adherence to Fall TIPS protocol, patient/family engagement and fall

rates

• Staff meeting and huddle time was utilized to improve awareness and adherence rate

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 18

Figure 1

Medical Surgical RN Compliance to Fall TIPS Run Chart

Median

Goal

0

20

40

60

80

100

120

S e

p t-1

2

S e

p t-1

9

O c t-3

O c t-1

0

O c t-1

7

O c t-2

4

O c t-3

1

N o v -7

N o v -1

4

N o v -2

1

N o v -2

8

D e c -5

P e

rc e

n ta

g e

o f F

a ll T

IP S

C o

m p

le te

d

% of nurses compliant with protocol

Medical and Surgical RN Fall TIPS Compliance

Values Median GoalPre-implementation Implementatoion

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 19

Figure 2

Fall Rate for the Medical Surgical Unit

Median

Goal0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

4.50

5.00

J u l-2

0

A u

g -2

0

S e

p -2

0

O c t-2

0

N o v -2

0

D e c -2

0 Fall Rate per 1000 Patient Days for Medical Surgical Unit

F a

ll R

a te

p e

r 1

0 0

0 P

a ti

e n

t D

a ys

f o

r M

e d

ic a

l S

u rg

ic a

l U

n it

Implementation

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 20

Appendix A

Evidence Review Table that evaluates Fall TIPS and interventions among medical surgical patients Carter E. J., Khasnabish, S., Adeleman, J. S., Bogaisky, M., Lindros, M. E., Alfieri, L., Scanlan, M., Hurley, A., Duckworth, M.,

Shelley, A., Cato, K., Shao P. Yu., Carroll, D., Jackson, E., Lipstiz, S., Bates, D. W., & Dykes, P. C. (2020). Adoption of a Patient-

Tailored Fall Prevention Program in Academic Health Systems: A Qualitative Study of Barriers and Facilitators. OMB Geriatrics,

4(2), 1-15 http://www.lidsen.com/journals/geriatrics/geriatrics-04-02-119

Level VI

Purpose/

Hypothesis

Design Sample Intervention Outcomes Results

“We aimed to

identify dominant

facilitators and

barriers to Fall TIPS

adoption”

A Multisite qualitative

study design

Sample Technique:

Convenient sampling

Eligible:

Staff N-71

Patients N=50 and

Family members N=7

Eligible participants:

Patients were

considered eligible if

they spoke English or

had a family member

who spoke English and

who were alert and

oriented.

Eligible patients were

chosen by healthcare

team.

They had to have no

prior relationship with

the study examiner.

Excluded: none

reported

Accepted:

A sum of 71 staff took

part in 11 focus groups.

There were 50 patients

and 7 family members

individually

Intervention Protocol:

Patients’ families were

interviewed

individually for 15-60

minutes.

The focus groups that

ranged from 3-10

participants interview

extended 30-60 minutes

Intervention fidelity:

Staff focus and patients

interview conducted in

2 phases

Phase 1- principal

barriers and facilitators

for Fall TIPS identified

Findings discussed with

major stakeholders to

examine for accuracy.

Phase 2 – Continued till

findings from phase 1

were validated or

rejected.

Two to three

investigators performed

the interviews and

focus groups at each

study.

Dependent variable:

Fall TIPS adoption

barriers and facilitators

Measures:

The dependent

variables were

measured

after participants

consented verbally,

audio recordings of

interviews were made.

Their responses were

transcribed verbatim by

an automated

transcription aid.

For transcription

validity, transcripts

were scrutinized by

both the study

coordinator and

investigator.

Researcher’s job

included mutual

identification of codes,

application of codes

and discussion of any

discrepancies to reach

an agreement.

Statistical results:

Interviews were

analyzed utilizing

Conventional Content

Analysis.

Coding was executed

within NVivo using

consensus approach.

Facilitator’s

identified to Fall TIPS

adoption included 1)

Staff understanding of

the previous limitation

of fall prevention

programs and

recognizing fall

prevention as a priority

2) Patients and their

families took part in the

fall prevention

3) Fall TIPS was

incorporated in staff

existing workflow.

Barriers to fall TIPS

adoption program

included

1) Poor engagement

practices among staff

resulted in limited

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 21

interviewed during the

study period.

Power Analysis: No

power analysis was

reported which

increased the risk of

making a Type II error.

Group Homogeneity:

The study participant

group homogeneity was

presented in table 2, for

demographics.

Investigators attended

continued accepted

education workshop

directed by two

qualitative research

experts.

Patient confidentiality

was maintained during

individual interviews.

Group exchange and

dialogue was promoted

in the staff focus

groups.

For ensuring validity of

the results, researchers

peer debriefed biweekly

to seek objectivity of

findings, member

checking, involved

discussion of

qualitative findings

with patients and staff

for accuracy.

patients’ activation in

fall prevention

2) Using the one size

fits all viewpoint in fall

prevention

3) Patient’s willfulness

of not following the fall

plans.

Christiansen, T. L., Lipsitz, S., Scanlan, M., Yu, S. P., Lindros, M. E., Leung, W. Y., Adelman, J., Bates, D. W., & Dykes, P . C.

(2020). Patient Activation Related to Fall Prevention: A Multisite Study. The Joint Commission Journal on Quality and Patient

Safety, 46(3), 129–135. https://doi10.1016/j.jcjq.2019.11.010

Level IV

Purpose/

Hypothesis

Design Sample Intervention Outcomes Results

“The primary aim of

this study was to

determine if exposure

to the Fall TIPS

program influences

patient activation

related to fall

prevention”

Pre and post

implementation design, a

multi-site study

Sample Technique:

Simple random sample

technique

Eligible participants:

Adult patients, aged >

18 years admitted to the

study units for a

minimum of 24 hours.

Patients who were

mentally and physically

able to participate.

Participants were alert

and oriented, able to

speak English, gave

verbal consent to take

the survey, and

voluntarily participated.

Excluded: were 7

patients who did not

respond to the survey

Intervention Protocol:

Patient activation was

graded by surveying a

random sample of adult

patients before and after

employment of Fall

TIPS at three health

care system.

Intervention Fidelity:

Researchers used the

short form Patient

Activation Measure

(PAM– 13) adapted for

fall prevention.

The 13-item survey

assessed a patient

knowledge, skill, and

self-reliance in

managing his or her fall

prevention.

Dependent

Variable(s):

Patient activation refers

to a patient’s

knowledge, skills and

confidence in managing

his or her own health.

Measurement tool

(reliability), time,

procedure:

Patient’s activation was

measured by the

The PAM is a 13-item

(short form) assessed

patient activation in

four different levels.

Level 1 is the lowest

level of activation and

level 4 is the highest

Patients with a score of

1 are considered

Statistical

Procedures(s):

A reliability analysis

using Cronbach’ alpha

was used for reliability

analysis and showed

that scale is reliable (α

= 0.870 pre; α 0.870

post)

The robust ordinal t-test

revealed an increase in

PAM scores between

groups overall, with the

preintervention mean

scores at 63.82 (SD +

17.35)

The post intervention

means scores at 80.88

(SD + 17.48), p <

0.0001

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 22

(response rate of

98.0%).

Exclusion criteria:

Patients, who were not

mentally and physically

able to participate, who

were below 18 years of

age and discharged

before 24 hours after

admission.

Accepted: 343 patients

across three sites

n=158 preintervention;

n=185 postintervention.

Intervention: 343

patients were randomly

assigned.

Power Analysis: No

reported power

analysis, increasing the

risk of a Type II error.

Group Homogeneity:

The pre and post

intervention group

homogeneity is

presented in Table 1 &

2 which represents

descriptive statistics of

patients’ baseline

characteristics.

overwhelmed and

disengaged, in

managing their health.

The short form is both

valid and reliable

instrument.

The PAM 13 uses a 4-

point Likert scale (1=

strongly disagree and 4

= strongly agree).

Results:

Patient’s activation

increased from pre to

postintervention at all

sites Brigham and

Women’s Hospital

(BWH), p < 0.0001;

Montefiore Medical

Center (MMC), p <

0.0001 and

New York-

Presbyterians (NYP), p

= 0.0373

Duckworth, M., Adelman, J., Belategui, K., Feliciano, Z., Jackson, E., Khasnabish, S., Lehman, I.-F. S., Lindros, M. E., Mortimer,

H., Ryan, K., Scanlan, M., Berger Spivack, L., Yu, S. P., Bates, D. W., & Dykes, P. C. (2019). Assessing the Effectiveness of

Engaging Patients and Their Families in the Three-Step Fall Prevention Process Across Modalities of an Evidence-Based Fall

Prevention Toolkit: An Implementation Science Study. Journal of Medical Internet Research, 21(1), e10008.

https://doi.org/10.2196/10008

Level IV

Purpose/

Hypothesis

Design Sample Intervention Outcomes Results

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 23

“The purpose of this

study is to assess the

effectiveness for

engaging patients and

family in the 3-step

fall prevention process

(as defined by

patient/family

knowledge of their

personalized fall risk

factors and prevention

plan) of each of the

Fall TIPS modalities”

Single Qualitative

Descriptive Study

Sample Techniques:

Random sample of

Audits conducted by

Champions across all

data collection sites

6 Neurology units

7 medical or medical-

surgical units

Eligible Participants:

N=1209

Accepted:

1209 audits on patient

engagement

1401 audits for the

presence of the Fall

TIPS poster at the

bedside.

Inclusion Criteria:

Patients must be aged ≥

18 years, alert and

oriented or have a

family member present

and being involved in

the care, English or

Spanish speaking; and

Length of Stay (LOS)

in hospital > 24 hours.

Excluded criteria:

Patients who were < 18

years and not alert and

oriented and did not

have a family at the

bedside were excluded

from the study.

Power Analysis: No

power analysis was

reported which

increased the risk of

making a Type II error.

Intervention Protocol:

Engagement of patient

in the 3-step fall

prevention process

across the 3 Fall TIPS

modalities, patients

were questioned about

their knowledge of their

fall prevention plan.

Intervention Fidelity:

Each site incorporated

the Fall TIPS

prevention process into

practice,

built the clinical

decision support by Fall

TIPS into the electronic

health record (EHR)

Nurses completed the

fall TIPS risk

assessment and tailored

plan and recorded in

her at each site of data

collection.

The 3 modalities

utilized to present and

communicate the

patient’s falls risk

factors and fall

prevention plan

included

1. The laminated Fall TIPS poster

2. Electronic Fall TIPS poster

3. Paperless patient safety bedside

display

Dependent variable:

Patients and family’s

knowledge about their

personal fall risks

factors and their fall

prevention plan around

the 3 Fall TIPS

modalities.

Protocol adherence

measured as the display

of fall prevention plan

at bedside

Measurement tool

(reliability), time,

procedure:

Random audits

performed to check the

effectiveness of

engaging patients in the

3-step fall prevention

across the 3 modalities

by asking does

patient/family know

their fall prevention

plan?

Radom audits were

performed to measure

protocol adherence by

checking if Fall TIPS at

the bedside

Nurse champion

selected patients for

audits.

Unannounced audit was

performed weekly.

Display of the

personalized fall

prevention plan at the

patient’s bedside was

Results:

Each Fall TIPS

modalities was

efficiently to assist

patient engagement in

the 3-step fall

prevention method

rate (> 80%) of

adherence for both

measures. i.e., of

patient engagement and

of adhering to protocol

of Fall TIPS.

Recommendations are

that all 3 modalities can

be incorporated in the

clinical workflow.

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 24

Group Homogeneity:

The sample population

consisted of a diverse

group of patients. At

Brigham’s and

Women’s Hospital

(BWH), Montefiore

Medical (MMC)

37.78% comprised of

Hispanics. Average age

groups of patients at the

3 study hospitals

(namely, BWH, MMC,

and New York

Presbyterian Hospital)

were 60.5, 60.1 and

63.3 years, respectively.

an indication of

adherence to the Fall

TIPS protocol

Dykes, P. C., Burns, Z., Adelman, J., Benneyan, J., Bogaisky, M., Carter, E., Ergai, A., Lindros, M. E., Lipsitz, S. R., Scan lan, M.,

Shaykevich, S., & Bates, D. W. (2020). Evaluation of a Patient-Centered Fall-Prevention Tool Kit to Reduce Falls and Injuries: A

Nonrandomized Controlled Trial. JAMA Network Open, 3(11), 1-10. https://doi.org/10.1001/jamanetworkopen.2020.25889

Level III

Purpose/

Hypothesis

Design Sample Intervention Outcomes Results

“The goal of the trial

was to assess whether

a fall-prevention tool

kit that engages

patients and families

in the fall-prevention

process throughout

hospitalization is

associated with

reduced falls and

injurious falls”.

A Nonrandomized

Controlled Trial with

pre- and post-

intervention study

Sampling Technique

Convenient sample

design at 14 medical

units including 3

academic medical

centers.

Eligible Participants:

N=37231

Eligible criteria:

All adult inpatients who

were hospitalized were

involved in the study.

Excluded: None

Sample size: N-37,231

pre-intervention 17948

and post intervention

19283

Intervention

Participants were

continuously engaged

by nurses in the 3-step

fall prevention process.

Intervention Fidelity

A laminated Fall TIPS

poster displayed at the

bedside

Nurses completed

poster with dry eraser

markers with patient

/families at admission

and during every.

The research team

assigned start dates to

each unit with the Fall

Dependent variables:

The two main outcomes

included overall rate of

patient falls per 1,000 s

and overall rate of falls

with injury per 1,000

days.

Measurement tool

(reliability) time,

procedure:

Nurse champions

completed

competencies training

and monitored fidelity

Unit nurse champions

measured compliance

to the Fall TIPS

A Poisson regression

tool used to establish

association between

intervention and the

rate of patient falls and

falls with injury per

1,000 days.

In addition, in

secondary analysis

adjusted Poisson

regression model was

used to assess changes

before and after

intervention included,

fall rates with

interaction involving

age groups and period,

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 25

Group Homogeneity

Demographic

characteristic of

patient’s was presented

in Table

Power Analysis:

No power analysis was

reported which

increased the risk of

making a Type II error.

TIPS modality along

with the constraints,

based on the 3

modalities.

Nurses identified the

patients Fall risk by

using the MFS and

linking the risk factors

with the suitable fall

prevention plan.

In the EHR-toolkit the

clinical decision

support spontaneously

printed appropriate

preventive

interventions.

Automatic displayed

screen saver at bedside,

were effective in testing

patient engagement in

the 3-step fall

prevention protocol

A 21-week pre-

intervention period

followed by 21-week

post intervention

period.

protocol including

patient engagement and

auditing 3 question

1) Is the Fall TIPS

poster complete and has

the correct information,

2) Can patient/family

verbalize fall risk

factors and

3) does the

patient/Family

verbalize the fall

prevention plan.

Nurses completed 5

random audits per

month with the Fall

TIPS Audit tool.

and interaction between

site and period.

An alpha level was set

at p<005.

There was an overall

15% adjusted decrease

in falls post

implementation of Fall

prevention toolkit

compared with

implementation (2.92

vs 2.49 falls per 1000

patient-days [(95% Cl,

2.06-3.00 fall per 1000

patient-days)].

An adjusted 34%

decreased injury rate

(0.73 vs 0.48 injurious

falls per 1000 patient-

days [95% Cl. 0.34 -

0.70 injurious falls per

1000 patient-days];

adjusted rate ratio 0.66;

95% Cl. 0.53-0.88; p=.

003).

Conclusion:

Implementation of Fall

prevention Tool kit was

related with a

significant decrease in

falls and related injury.

Citation: Dykes PC, Carroll DL, Hurley A, Lipsitz S, Benoit A, Chang F, … Middleton. (2010). Fall prevention in acute care

hospitals: a randomized trial. JAMA: Journal of the American Medical Association, 304(17), 1912–1918.

https://doi.org/10.1001/jama.2010.1567

Level II

Purpose/

Hypothesis

Design Sample Intervention Outcomes Results

“To investigate

whether a fall

Cluster randomized trial

design

Sampling Techniques:

Convenient sampling

Control Protocol: Dependent variable: Statistical results:

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 26

prevention tool kit

(FPTK) using health

information

technology (HIT)

decreases patient falls

in hospitals”.

from Medical units with

fall rates higher than

the mean for the

institution the year

before the study were

matched to units with

similar fall rates and

patient-days. Eligible: N=10264

patients

Eligibility Criteria:

Units that matched and

were not involved

specifically in other fall

prevention

improvement projects

were deemed eligible.

Excluded: 8 units did

not meet eligibility

criteria.

Accepted: 10264

patients in the medical

units with high fall

rates. Randomization

located patients in the

in each of the control or

the intervention group.

Control: 5160 patients

in 4 units that received

standard care

Intervention: 5160

patients in 4 units that

received the

intervention

Power analysis: 10264

patients expected to

meet 80% power (with

α =.05) with fixed

effects size. Power

Control units received

routine care associated

with fall prevention

which included:

Completed MFS using

paper or electronic

forms

Placing high risk fall

sign above patients’ bed

with MFS scores > 45

Education of

patients/family on falls

with a booklet or

handout

Documenting plan on

electronic or paper

Intervention Protocol:

Included interventions:

Completed MFS

utilizing Fall

Prevention Toolkit

(FPTK)

Personalized bedside

posters were printed

spontaneously and

placed above patients’

beds

Educated patient/family

with tailored handout

Followed tailored plan

generated

spontaneously

generated by FPTK

from MFS assessment

Treatment Fidelity:

The research team

developed software for

the FPTK.

Falls per 1,000 patient-

days

Falls with injury per

1,000 patient-days in

the targeted units

Patient falls specified as

an unplanned descent to

the floor throughout the

hospitalization

Measurement tool

(reliability). Time,

procedure:

The dependable

variable measured by:

reporting patients falls

and falls with injury

recorded in an event

report system in the

units by nurse taking

care of the patient.

Incidents were

validated by hospital

quality personnel and

unit managers.

Valid Fall Risk

Assessment Scale

(MFA) identified

patient on high fall

risks.

Adherence to the Fall

prevention protocol was

measured by random

review of MFS

completion in control

groups and use of

FPTK components

including MFS

completion in the

intervention groups.

To examine the

difference in falls

throughout intervention

and control group the

priori Poisson

regression model

utilized that contained a

fixed effect and

intervention effects for

hospital.

Patient characteristic

was calculated utilizing

proportions, means with

standard deviation and

median with

interquartile ranges.

Covariate balance was

checked utilizing the

stratified Wilcoxon test

for continuous

confounders and fixed-

effects multinomial

logistic regression for

categorical confounders

A priori Poisson

regression model with

fixed effect and

intervention effect for

hospitals was utilized to

examine the difference

in falls throughout

intervention and control

groups.

The stratified Wilcoxon

test was used to check

the covariate balance.

Factors tested were

continuous confounders

and fixed-effects

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 27

analysis met to reduce

risk for type II error.

Group Homogeneity:

The Participants

characteristic of the

control and

interventional groups is

based on descriptive

statistics summarized in

table 2.

The FPTK (Fall

Prevention Toolkit)

incorporated the current

workflow patterns and

communication in the

Health Information

Technology (HIT)

operations.

According to the Morse

Fall Scale (MFS) risk

assessment completed

by the nurse, the FPTK

software generated

personalized fall

prevention

interventions per the

patient’s specific fall

risk.

The FPKT generated

bed posters include,

short text with

associated icons, care

plan, education

handouts, and all

patient specific

notifications to patients

to stakeholders.

The FPTK included a

compliance dashboard

to assist monitoring.

multinomial logistic

regression for

categorical

confounders.

There were lesser

patients with falls in the

intervention units

(n=67; range across

units 10-28) compared

with the control units

(n= 87; range across

units, 15-33).

A significantly lower

adjusted rate was found

in the intervention units

fall rate of 3.15 [95%

confidence interval

(Cl), 2.54 -3.90] per

1,000 patient-days). By

comparison the control

units’ results were 4.18

[95% Cl, 3.45-5.06] per

1,000 patient-days, with

rate variance of 1.03

(95% Cl, 0.57-2.01) per

1000 patient-days

(p=.04).

Patients aged 65 years

or older derived the

most benefit from the

FPTK Adjusted rate

difference, 2.08 [95%

Cl, 0.61-3.56] per 1,000

patient-days p=.003).

No significant effect

was noted in the injury

rates.

In the 8 study units,

including control and

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 28

intervention, there were

two 862 patient-days

periods.

Results showed that

the FPTK can prevent 1

fall per 862 patient-

days. Hence, the FPTK

could possibly prevent

approximately 90 falls

every year in

intervention units.

equating to 7.5 falls

every month and 1 fall

every 4 days.

Dykes, P. C, I-Ching, E. H., Soukup, J. R., Chang, F., & Lipsitz, S. (2012). A case control study to improve accuracy of an

electronic fall prevention toolkit. AMIA ... Annual Symposium Proceedings. AMIA Symposium, 2012, 170–179. https://www-

ncbi-nlm-nih-gov.proxy-hs.researchport.umd.edu/pmc/articles/PMC3540550/

Level IV

Purpose/

Hypothesis

Design Sample Intervention Outcomes Results

“The purpose of this

case control study was

to use data mining and

modeling techniques

to identify the factors

associated with falls in

hospitalized patients

when the toolkit was

in place. Our ultimate

aim was to apply our

findings to improve

the toolkit logic and to

generate practice

recommendations”

A Case Control Study Sampling Technique

Cases included patients

with a fall on

intervention units at 4

partners HealthCare

acute care hospitals.

Controls randomly

selected from

intervention units

without a fall

Eligible Participants

Cases: Inpatients that

fell on the intervention

unit in an acute care

hospital where the Fall

TIPS toolkit (FTTK)

was in place for a 6-

month period. Cases

Intervention

Faller were matched

with similar controls in

regards to gender, age,

first MFS, length of

stay till the fall

Reviewed patients’

medical records and

incident report of falls

when FTTK in place

Checked for problems

with the FTTK software

to be corrected

Checked for the

intervention plan

suggested by FTTK

was correct and was

followed as by

Dependent variables:

Factors associated with

falls such as out of bed

with assist, 1 and 2-

person assist, Chair/Bed

alarm,

reorientation/frequent

checks, bed close to the

nursing station.

Measurement tool

(reliability). Time,

procedure:

A nurse investigator

extracted clinical data

for each case and

controls from the FTTK

database comprising

demographics, and

Morse Fall Scale (MFS)

Descriptive statistics by

employing two-by-two

tables were produced to

explain demographic

data of cases and

controls including

percentages in each

case/control group.

Conditional logistic

regression was used to

assess differences in

patients’ characteristic

for cases and control.

A priori variable

measured for

multivariate conditional

logistic regression

model comprised the

following significant

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 29

involved if they had 3

or more matches

Controls: Randomly

selected from patients

admitted to the

intervention units in the

same 6 months and did

not have a fall.

Controls were paired

for gender, age (within

5 years), first Morse

Fall Scale (MFS) total

score and length of stay

in the unit (within 24

hours) up to the time of

fall.

Excluded:

1 patient was excluded

due to incomplete data.

Sample size: N-192

88 patients age 64 and

younger

104 patients age 65 and

older

Power Analysis: No

power analysis was

reported which

increased the risk of

making a Type II error.

Group Homogeneity:

Cases and controls with

p value on table 4 for

demographics and

clinical characteristic

clinicians as

recommended by FTTK

Document prior fall,

out of bed with assist,

cane, bed/chair alarm,

1-person assist, 2-

person assist, frequent

checks/orientation, and

bed close to nursing

station.

total scores, nurse’s

interventions (proposed

by the FTTK of

patient’s risk report and

nurse’s knowledge

about the patient).

The nurse investigator

also collected the fall

incident data from

incident reporting

system, comprising unit

length of stay at the

time of fall.

A second investigator

confirmed extraction

for a random selection

of 10% of cases and

controls with agreement

> 90%.

intervention variables

(p<0.05).

All P values were two

tailed and a statistically

significant p value was

<0.05.

Falls: total falls 67 in

the intervention unit.

Of remaining cases: 48

had 3 or more matches

for gender, age (within

5 years), first Morse

Fall Scale (MFS) total

score and length for a

total sample size of

192.

Three research

questions answered,

The univariate

conditional logistic

regression analysis was

completed to answer all

3 questions.

Question One

Why did some patients

on the experimental

units fall with access to

the FTTK?

The univariate

conditional logistic

regression analysis

showed there was a

significant association

for the subsequent 7

interventions:

document prior fall out

of bed with assist

(p=.000)

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 30

bed/chair alarm

(p=.003)

1-person assist (p=.040)

2-person assist

(p=.006)

frequent

checks/reorientation

(p=.025)

bed close to nursing

station (p=.042)

frequent

checks/Reorientation

(p=.025)

The 7 variables were

entered into a

conditional logistic

equation and the

findings recommended

cases (fallers) were 5.7

times more likely than

matched controls (non-

fallers) among patients

requiring assistance

getting out of bed.

Question 2

What factors are linked

with falls associated

with younger patients?

The univariate

conditional logistic

regression analysis

showed significant

association for the

following 5

interventions,

out of bed with assist

(p=.010)

bed/chair alarm

(p=.003)

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 31

1-person assist (p=.034)

frequent

checks/reorientation

(p=.023)

bed close to nursing

station (p=.012)

Nevertheless, after

entering these variables

into the conditional

logistic regression

model and adjusting for

insurance and total

MFS before the fall,

none remained

significant.

Question 3

What factors are

associated with falls in

older patients?

The univariate

conditional logistic

regression analysis

showed significant

association for the

following 3

interventions:

ambulatory aid:

cane (p=.047)

out of bed (p=.004)

two-person assist

(p=.005)

Findings suggest cases

were significantly less

likely than matched

controls to be patients

who prior to fall did not

use a cane as an

ambulatory aid.

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 32

Fallers were also 10.1

times more liable than

matched controls before

the fall known to need

assistance getting out of

bed before the fall, and

14.26 times more liable

than non-fallers before

the fall to need 2 people

for assistance when

walking or getting out

of bed.

Results of evaluation

suggested that the

FTTK rational is

accurate but strategies

are needed to enhance

adherence with the fall

prevention intervention

proposals generated by

the electronic toolkit.

Dykes, P. C., Duckworth, M., Cunningham, S., Dubois, S., Driscoll, M., Feliciano, Z., Ferrazzi, M., Fevrin F.E., Lyons. S., Lindros

M. E., Monahan A., Paley M.M., Jean-Pierre S., Scanlan, M. (2017). Pilot testing Fall TIPS (Tailoring Interventions for Patient

Safety): a Patient-Centered Fall prevention Toolkit. The Joint Commission Journal on Quality and Patient Safety, 43(8), 403–413.

https://doi.org/10.1016/j.jcjq.2017.05.002

Level IV

Purpose/

Hypothesis

Design Sample Intervention Outcomes Results

Pilot testing the Fall

TIPS (Tailoring

Intervention for

Patient Safety) on

high-risk units at

BWH and at MMC

was to establish

efficacy and a

foundation for

adoption and spread.

Pilot Study Sampling Technique:

Convenient sampling at

two large medical

centers

Eligible Participants:

At Brigham and

women’s Hospital

(BWH)

31 patients answered

the pre-survey

33 the post survey

Intervention Protocol:

Conceptual model used

was The Institute of

Healthcare

Improvement’s (IHI)

Framework for Spread

(FFS). The four phases

of FFS include:

Communication:

The expert team

presented evidence on

Dependent variable:

Fall rate and Fall with

injury rates

Adherence to

Protocol, Fall

Rates/Injury Rates

Compliance to fall

TIPS protocol was

monitored via weekly

spot checks on each

unit

Patient surveys

At BWH; Boston

Changing levels of

progress - from baseline

to post Fall TIPS with

scores - were shown by

results of the Mann

Whitney U test; as well

as capability of patients

in recognizing their fall

risk (pre mean 3.7;

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 33

At Montefiore Medical

Center (MMC)

32 answered the pre

survey

30 patients answered

the post survey

Group Homogeneity:

The majority at BWH

were patients in the pre

and post survey were

female (60%), age 55

years, or older (53%)

and Caucasian (66%).

The majority of patients

in MMC were females

(68%) age 55 years and

older (53%) black or

African American

(53%) and

Hispanic/Latino (32%)

Power Analysis: No

power analysis was

reported which

increased the risk of

making a Type II error.

Fall TIPS to leadership

and quality and nursing

grand rounds to gain

support and

communicate value of

the Fall TIPS.

Planning and set up

Targeting relevant

population: patients on

units with fall rates

above the mean and

above the benchmark

for the institution.

Spread within the

target population

Secured support of unit

level clinical

leadership, unit-based

practice council, and

staff members

Unit champions and

stakeholders identified

and given education

and training for

associated practice

change.

Training sessions were

for all staff.

Continued monitoring

and feedback

Implementing auditing

to evaluate and provide

feedback on practice

adherence and patient

outcomes

Falls TIPS was

complete with patient

name, proper date, risk

factor and prevention

plan.

Patient fall and fall

related injury rates was

obtained through

hospital quality

department and

monthly report was

provided to clinical

champions.

Patient Surveys

Baseline data collected

regarding what patients

knew about their

personal risk of falling

and their fall prevention

plan. Survey employed

the five-point Likert

response format on the

following:

1. Do I recognize my

fall risks?

2. Am I aware of my

fall prevention plan?

Patient survey results

for pre- and post-

implementation of Fall

TIPS were compared

post-mean 4.5,

p=0.031), and

conception knowledge

of fall prevention (pre

mean 3.7: post 4.4,

p=0.264).

At MMC (Bronx, New

York)

The Mann Whitney U

test results showed

progress from baseline

to post Fall TIPS with

scores; for patients’

perceived ability to

recognize fall risk (pre-

mean 4.0; post 4.6.,

p=0.023) and

knowledge of how to

prevent a fall (pre-mean

3.6; post 4,7. p=0.001).

Protocol

Adherence/Fall

rates/Injury rates

At BWH, mean

adherence was 82% to

fall TIPS protocol.

The mean fall rate was

reduced from 3.28 per

1000 patient-days to

2.80 per 1,000 patient-

days

The mean fall-

associated injury rate

dropped from 1.00 per

1000 patient-days to

0.54 per 1,000 patient-

days

At MMC, according to

the audit the mean

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 34

adherence rate to fall

TIPS protocol was

91%. The mean fall rate

saw a slight increase

from 3.04 to 3.10 per

1,000 patient -days

The mean falls-

associated injury rate

dropped from 0.47 per

1,000 patient-days to

0.31 per 1,000 patient-

days

Fowler, S. B., Reising, S. E. (2021). A Replication Study of Fall TIPS (Tailoring Interventions for Patient Safety): A Patient-

Centered Fall Prevention Toolkit. MEDSURG Nursing, 30(1), 28–34. http://eds.a.ebscohost.com.proxy-

hs.researchport.umd.edu/eds/pdfviewer/pdfviewer?vid=3&sid=5c483b22-5891-41c9-8096-3e9def02a892%40sessionmgr4007

Level III

Purpose/

Hypothesis

Design Sample Intervention Outcomes Results

“The primary purpose

of this research was to

replicate a published

study to determine the

suitability of a patient-

centered fall

prevention tool and its

impact on patient

knowledge of fall risk

factors and prevention

interventions, overall

fall rates, and falls

with injury. A

secondary objective

was to evaluate ease of

use of the patient-

centered fall

prevention tool and

the need for

modifications”

Qualitative Study

pre and post intervention

design

Sampling Technique

Four Convenient

samples of 30 patients

each period.

Eligible Participants

Inpatients on a medical

telemetry unit.

Inclusion:

Patients who are alert

and oriented and

speaking English or

Spanish.

Excluded: Patients who

were not alert and

oriented and did not

speak English or

Spanish.

Sample size:

Pre-intervention (N-30)

at 1 month

Intervention:

Intervention in the

study included patients

interviewed pre-

implementation at 1

month and during

implementation at 3,

and 6-months regarding

knowledge of their fall

risk and fall prevention

plan

Intervention Fidelity

Alert and oriented

patients selected by

investigator with

consent for the study

Patients were asked two

Likert-style statements

pre and during

implementation bout

Dependent variables:

The two main

outcomes included

Patients’ knowledge on

Fall risk factors and fall

prevention plan.

Overall fall rates and

Fall with injury rates

Measurement tool

(reliability) time,

procedure:

Patients’ knowledge on

fall risk factors and fall

prevention plan was

measured by the study

team members by

asking 2 questions, (a)

An independent t-test

was employed to

compare pre and post

scores of patient

knowledge of falls risk

and fall prevention

The mean scores of

statements

(a) identify falls risks

increased from 4.13 to

4.6 at 1 month; It

remained unaffected in

month 3 and 6 months

(4.57 and 4.47,

individually

The mean for question

(b) how to prevent a fall

increased from 3.97 to

4.67 at 1 month and

remained unchanged at

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 35

During the intervention

(N-120) at 3 months

and 6 months.

Group Homogeneity

None noted

Power Analysis: No

power analysis was

reported which

increased the risk of

making a Type II error.

the knowledge of fall

risk and fall factors and

prevention plan which

include, (a) I am able to

identify my risk for

falling, (b) I know what

I need to do to prevent

from falling

Nurses updated the

laminated Fall TIPS

poster at the bedside,

patients were assessed

for fall risks using the

MFS, individualized

teaching to patient and

family was done using

the Fall TIPS

prevention tool

Investigators checked

compliance to

documentation on the

poster three time a

week for patient name,

date, risk factor and

prevention plan.

Can you identify the

risk for falls.

(b) Are you aware of

what needs to be done

to prevent a fall?

The 5-point Likert scale

was used as a response

format (1=strongly

disagree and,

5=strongly.

Overall, compliance of

nurses to fall TIPS

protocol was measured

by Fall TIPS audit tool

bi-weekly on the 5 data

points patients

name/bed umber,

current date and time,

verbalization of fall risk

factor and fall

prevention plan.

Fall rates and injury

rates were acquired

from the hospital for

the pre and post

intervention period.

3 and 6 months (4.53

and 4.7, individually

The patient’s

knowledge about falls

at 1, 3 and 6 months

compared to pre-

implementation

(p=0.001-0.05)

The overall fall rate

pre-intervention

reduced from 3.3% to

1.9% post intervention.

Staff adherence to the

Laminated Fall TIPS

was 85%.

Leung, W. Y., Adelman, J., Bates, D. W., Businger, A., Dykes, J. S., Ergai, A., Hurley, A., Katsulis, Z., Khorasani, S., Scanlan,

M., Schenkel, L., Rai, A., & Dykes, P. C. (2017). Validating Fall Prevention Icons to Support Patient-Centered Education. Journal

of Patient Safety. 1-10. doi: 10.1097/PTS.0000000000000354

Level IV

Purpose/

Hypothesis

Design Sample Intervention Outcomes Results

“The objective of this

project was to refine

fall risk and

prevention icons for a

patient-centric bedside

toolkit to promote

patient and nurse

Mixed method

descriptive and

qualitative study, which

involved psychometric

evaluation with pre- and

post-test

Sampling Technique:

Convenient sampling

Accepted participants:

88 patients and 60

nurses from 2 academic

medical centers.

Intervention Protocol:

Patients n=88 and

nurses n=60 from 2

academic medical

centers contributed in 4

iterations of testing to

upgrade 6 fall risk and

Dependent Variable:

Fall risk and prevention

icons for a toolkit at

patient bedside.

Measure:

Content validity-

visualization of Icon

Results:

Content validity index

scores enhanced after

modification of icons.

Icons that depicted

several concepts

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 36

engagement in

accurately assessing

fall risks and

developing a tailored

fall prevention plan”.

Eligible participants

Included 88 patients

who were physically

and cognitively able to

participate.

Nurses n=60 from

oncology and medical

surgical units at BWH

and MMC.

Group Homogeneity:

Demographic

characteristic of

patient’s and nurses

was presented in Table

1, which represents

descriptive statistics.

Power Analysis: No

power analysis was

reported which

increased the risk of

making a Type II error.

10 fall prevention

icons.

The methodological

approach of

determination and

quantification of

content validity was

used.

In individual interviews

participants graded

their satisfaction with

the degree to which

icons signified the

concept on a 4-point

Likert scale, aiding

computation of a

Content Validity Index

(CVI)

Comments and

suggestions were

provided by

participants for

improvement.

Treatment Fidelity:

Successive phases of

iterative icon evaluation

and refinement were

carried out until all

stakeholders agreed on

icon’s validity

After reviewing CVI

scores and feedback,

the research team

discussed with the

illustrator to modify the

ions

refinement process and

outcomes:

In the first iteration

each of the preliminary

6 fall risk and 10 fall

prevention icons was

revised by 16 patients.

The mean CV rating

from 1.7 to 3.8 and both

negative remarks about

the picture for the

research team to

address and made

suggestion

All 16 items were

improved.

Second iteration:

12 patients and 30

nurses rated the 16

improved icons and

second group of 30

patients and 30 nurses

rated those icons that

had been further

improved.

Third iteration:

A slash through the

CVI cell demonstrated

that the improved icons

were regarded

acceptable.

Fourth iteration:

Was vital for 2 risk

icons established on

low CVI rating from

the patients.

The final round

involved testing “forget

to call” and “unsteady

required further

iteration for acceptance.

All 16 concepts were

preserved and were

perfected on the basis

of nurses and patient

response.

Using icons to describe

an accurate and easy to

interpret fall risk

assessment and

intervention plan for

care team members

which includes patient

and family was led to

enhanced adherence

with that plan and

decreased falls.

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 37

gait” with 30 extra

patients and 30 extra

nurses.

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 38

Appendix B.

Fall TIPS Readiness Implementation Checklist

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 39

Appendix C

The Project Timeline for Fall TIPS Implementation

Strategies and Tactics Dates Individuals or groups

affected

Educational Strategies

Pre-test on fall prevention 9/2/20- 9/10/20 Nurses

Formal education on Fall TIPS 9/11//20-9/18/20 Champions, Nurses,

CNA’s, and

Stakeholders

Train the Trainer 9/20/20 – 12/04/20 Unit Champions

Post-test on fall prevention 10/25/20 – 11/06/20 Nurses

Develop educational material 9/2/20-9/10/20 Unit Staff

Data Strategies

Complete audits and individual

feedback

09/27/20 – 12/05/20 Nurses

Provide data report on unit bulletin

board

Weekly Nurses, CNA’s

Identify barriers and facilitator Weekly Nurses, CNA’s,

Champions

Discourse strategies

One-to-one discussion Weekly Nurses and CNA’s

Remind unit staff on coming events 09/27/21-12/05/20 Nurses and CNA’s

E-Mails 9/11/20-12/04/20 Nurses and CNA’s

Rewards 10/25/20-12/05/20 Nurses and CNA’s

Accountability

Obtain formal Commitments 9/13/20-9/18/20 Champions

Provide Supervision 9/27/20-12/05/20 Nurses and CNA’s

Collaboration and communication

Meetings 09/22/20-12/04/20 Champions, Nurses,

CNA’s, and

Stakeholders

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 40

Appendix D

Written Commitment from champions

Adoption and spread of the innovation – Fall TIPS

Education of patients and family on their fall risks and fall prevention plan

1. Nurse champion

a. Fall TIPS is completed and updated daily with the patient’s name, correct date,

risk factors, and individualized fall prevention plan.

b. Complete audits - FALL TIPS Quality Audit Tool and give individual and group

feedback.

c. Give awareness of the daily falls in the unit.

d. Remind unit staff of upcoming events – Fall Prevention Knowledge Pre-test,

education and training on Fall Prevention and Fall TIPS Toolkit, Fall Prevention

Knowledge Post-test

e. Train the trainer

f. Identify barriers and facilitators

g. One-to-one discussion

h. Peer-to-peer feedback

2. Certified Nursing Assistant

a. Fall TIPS in place, with markers and erasers.

b. Patients have the correct mobility aids in the room such as walkers or cane.

c. Bed alarms and chair alarms are working and kept on.

d. Check the universal precautions are in place – Fall sign on, Yellow socks, yellow

bands.

e. Clearing the clutter in patients’ room.

f. Check Laminated Fall TIPS toolkit is available on admission.

3. Physical and Occupational therapist

Communication to the care team on the mobility related concerns:

a. Appropriate device needed for ambulation.

b. The amount of assistance needed for Activities of Daily Living (ADL).

c. Communicating to health team about the patient’s strength and balance.

d. Educate patients on falls prevention.

4. Housekeepers –

a. Cleaning and disinfecting the Laminated Paper Fall TIPS at bedside upon

discharge.

b. Keeping a clean Fall TIPS ready for use.

c. Clearing clutter and spills as soon as possible.

I agree to serve as a champion, to assist with the training, answer questions, and provide

feedback to the healthcare team on 6 North unit

Name: ____________________________

Signature: ____________________________

Date: ____________________________

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 41

Appendix E

Lesson plan for Fall TIPS Education Session

Learning Objectives Content Outline Method of Instruction Time Spent Method of Evaluation

Stakeholders, champions,

Nurses and CNA’s at the

medical surgical unit will

be knowledgeable on the

evidence base for

engaging patient in the

fall prevention protocol.

• Problem of patient falls

• Fall TIPS Findings: Two-year mixed method study and

Randomized control trial (RCT)

Qualitative results summary

• Fall prevention lessons learned

• The Fall TIPS toolkit

• Bed poster

• Patient engagement

• PowerPoint presentation

10 minutes Discussion of why

patient engagement is

vital in fall prevention

Nurses will be informed

on the information and

illustrations of how to

perform a fall risk

assessment utilizing the

Morse Fall Scale (MFS)

and the fall TIPS protocol

• Evidence-based fall prevention strategies

• Universal Fall Precautions

• Three step fall prevention process

• Conducting fall risk assessment (MFS)

• Completing tailored fall prevention care plan

• Consistently implementing the plan

• PowerPoint presentation

• Discussion

• Demonstration

10 minutes Discussion and

demonstrate of the

accurate use of Morse

Fall Scale

Nurses with an interactive

case study, will be able to

complete the three-step

fall prevention process

using the Fall TIPS

• Accurately performing an MFS assessment

• Interactive case study - completing a 3-step fall prevention process by

utilizing Fall TIPS toolkit.

• PowerPoint presentation

• Return Demonstration

10 minutes Return demonstration

of MFS and the use of

Fall TIPS toolkit

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 42

Appendix F

FPTK 11-item Answer Key

Item’s raw correct score for conversion to 1 or 0 T F

1. Bedside nurses know their patients and are better than a standardized screening scale at identifying patients likely to fall.

F

2. The 3-step fall prevention process is comprised of 1) screening for fall risks, 2) developing a tailored fall prevention plan, 3) completing fall

prevention documentation.

F

3. A 75-year-old male with history of recent falls and osteoporosis is admitted for severe abdominal pain. He is at increased risk for injury

if he falls due to his age.

F

4. A common reason why hospitalized patients fall is that their fall prevention plan is not followed.

T

5. Falls can be prevented in patients who are susceptible to falling because of physiological problems by providing a safe environment;

e.g., clear path to bathroom, room free of clutter, good footwear.

F

6. Patient engagement in fall prevention means that the nurse completes the fall risk assessment and prevention plan, and then teaches the

patient about their personal fall risk factors and prevention plan.

F

7. All hospitals are different; therefore, they should develop their own fall risk assessment forms.

F

8. A fall risk screening scale identifies those patients who are likely to fall because they have one or more physiological problems.

T

9. When nurses communicate with patients about their increased risk for injury if they fall, this improves the likelihood that patients will follow

their personalized fall prevention plan.

T

10. Patients at low risk for falls do not require a fall prevention plan.

F

11. Bed and chair alarms should be activated for all patients who screen positive for being at a high risk of falling.

F

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 43

Appendix G

Fall TIPS Copyright Permission

May 25, 2020

Usha Khandagale

DNP Candidate

University of Maryland

Adventist HealthCare White Oak Medical Center

11890 Healing Way, Silver Spring, MD 20904

www.AdventistWhiteOak.com

Dear Ms. Khandagale:

This letter serves as permission for your use of the Fall TIPS Toolkit in your quality

improvement project on fall prevention on a medical surgical unit as a course requirement for

the Doctor of Nursing Practice. You have permission to use the Fall TIPS (Tailoring

Interventions for Preventions for Patient Safety) toolkit in the form of a laminated poster that

staff complete and post it at the bedside. You will not make any changes to the Fall TIPS

Toolkit (except for adding your institutional logo if desired) without a written permission.

Sincerely,

Patricia C Dykes PhD, MA, RN, FAAN, FACMI

Program Director Research

Center for Patient Safety, Research and Practice

Brigham & Women’s Hospital

Associate Professor

Harvard Medical School

[email protected]

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 44

Appendix H

Laminated Fall TIPS Poster in English

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 45

Appendix I

Fall TIPS Quality Audit Instructions

1) Is the patient’s Fall TIPS report hanging at the bedside? Instructions: Record “Yes” if there is a Fall TIPS poster hanging at the bedside and it is for the correct patient. Record

“No” if there is no Fall TIPS poster hanging at the bedside or if it is for the incorrect

patient (i.e., wrong patient name).

2) Can the patient/family verbalize the patient’s fall risk factors? Instructions: Record “Yes” if the patient/family can verbalize any of the fall risk factors

that are displayed on the Fall TIPS poster. Record “No” if the patient/family cannot

verbalize any of the fall risk factors that are displayed on the Fall TIPS poster.

Record “N/A” if the patient is nonverbal or not alert and oriented, and no family is

present.

3) Can the patient/family verbalize the patient’s personalized fall prevention plan? Instructions: Record “Yes” if the patient/family can verbalize any of the fall prevention

interventions that are displayed on the Fall TIPS poster. Record “No” if the

patient/family cannot verbalize any of the fall prevention interventions that are displayed

on the Fall TIPS poster.

Record “N/A” if the patient is nonverbal or not alert and oriented, and no family is

present.

4) If you answered “No” to any question, did you provide peer-to-peer feedback?

Instructions: Record “Yes” if you followed up with the nurse whose patient you audited.

Record “No” if you did not follow up with the nurse whose patient you audited. Record

“Other” if you would like to share why you did not provide peer-to-peer feedback. **We

have found that the peer-to-peer feedback piece is especially important for

implementation. By following up with the nurse, you can identify if there is a gap in

knowledge or another barrier to Fall TIPS completion that we can address.

IMPLEMENTATION OF A FALL PREVENTION TOOLKIT 46

Appendix J

Fall TIPS Quality Audit Tool