Fall Prevention: Connecting Research to Evidence-Based Nursing Care
Patricia C Dykes PhD, RN, FAAN, FAMCI
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Fall Prevention: Connecting Research to Evidence-Based Nursing Care Patricia C Dykes PhD, RN, FAAN, FAMCI Fall Prevention: Connecting Research to Evidenced-based Practice Workshop goal: To provide attendees with the knowledge, skills,
Patricia C Dykes PhD, RN, FAAN, FAMCI
Fall TIPS (Tailoring Interventions for Patient Safety)
the evidence
toolkit
and disability.
– ~ 33% of older adults fall each year
– ~ 3% hospitalized patients fall – ~ 30% of inpatient falls result in injury
– The incidence of patient falls and related injuries are publicly reported by acute care hospitals. – As of October 2008, costs associated with fall-related injuries in hospitals are no longer reimbursable under Medicare.
Insufficient evidence to support a specific protocol that links nursing fall risk assessment to a tailored plan to prevent falls.
– why hospitalized patients fall? – what interventions are effective and feasible in hospital settings?
prevention toolkit designed to address issues identified during qualitative phase.
Supported by the Robert Wood Johnson Foundation, Dykes PI
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Fall risk assessment Tailored plan
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There were fewer falls in intervention units than in control units No significant effect was noted in fall related injuries
Patients aged 65 or older benefited most from the Fall TIPS toolkit
1. Conducting fall risk assessment using a prospectively validated tool. 2. Developing a plan of care that is tailored to patient-specific areas of risk. 3. Implementing the plan CONSISTENTLY.
Strategies and tools to facilitate the 3-step fall prevention process will prevent patients from falling!
– Leadership support Hospital/unit/champion levels – Patient and family engagement – Valid/reliable fall risk assessment – Tailored fall prevention care planning – Consistent implementation of the tailored care plan – Post fall management
– Can be used in any hospital – Provides clinical decision support
Tailored plan based on patient’s determinants of risk
10 20 30 40 50 60 70 80 90 100 0.00 1.00 2.00 3.00 4.00 5.00 6.00 Percent of Fall TIPS complete Fallsper thousand patient days
Average Fall Rate 2015 vs. 2016 with Average Fall TIPS Completion
2015 2016 Average Fall TIPS Completion
Pre-intervention mean fall rate: 3.28 Post-intervention mean fall rate: 2.80
10 20 30 40 50 60 70 80 90 100 0.00 0.50 1.00 1.50 2.00 2.50 Percent of Fall TIPS complete Falls with injury per thousand patient days
Average Fall Rate with Injury 2015 vs. 2016 with Average Fall TIPS Completion
2015 2016 Average Fall TIPS Completion
Pre-intervention mean fall with injury rate: 1.00 Post-intervention mean fall with injury rate: 0.54
Fall TIPS Adherence: 82% Pre-Fall TIPS Fall Rate: 3.28 Post Fall TIPS Fall Rate: 2.80 Pre-Fall TIPS Injury Rate: 1.00 Post Fall TIPS Injury Rate: .54
10 20 30 40 50 60 70 80 90 100 0.00 1.00 2.00 3.00 4.00 5.00 6.00 Percent of Fall TIPS Complete Falls per thousand patient days
Klau 4 Fall Rates 2015 vs. 2016 with Fall TIPS Completion Rates
2015 2016 Average Fall TIPS Completion
Pre-intervention mean fall rate: 3.04 Post-intervention mean fall rate: 3.10
Fall TIPS Adherence: 91% Pre-Fall TIPS Fall Rate: 3.04 Post Fall TIPS Fall Rate: 3.10 Pre-Fall TIPS Injury Rate: .47 Post Fall TIPS Injury Rate: .31
10 20 30 40 50 60 70 80 90 100 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 Percent of Fall TIPS complete Falls with injury per thousand patient days
Klau 4 Fall with Injury Rates 2015 vs. 2016 with Fall TIPS Completion Rates
2015 2016 Average Fall TIPS Completion
Pre-intervention mean fall with injury rate: 0.47 Post-intervention mean fall with injury rate: 0.31
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Brigham and Women’s Hospital
David Bates Alex Businger Sarah Collins Brittany Couture Anuj Dalal Patricia Dykes Sarah Khorasani Lisa Lehmann Emily Leung Stuart Lipsitz Eli Mlaver Ronen Rozenblum Jeffrey Schnipper Kumiko Schnock
Partners HealthCare
Frank Chang Ramesh Bapanapalli Mohan Babu Ganasekaran Gennady Gorbovitsky James Benneyan Corey Balint Jennifer Coppola Nicholas Fasano Zachary Katsulis Meredith Clemmens Lindsey Baldo Awatef Ergai Dominic Breuer Jillian Hines Jessica Cleveland
Northeastern Institute of Healthcare Systems Engineering
Patient-centered Fall Prevention
Patricia Dykes Megan Duckworth Srijesa Khasnabish Emily Leung Awatef Ergai Jillian Hines Zachary Katsulis Ramesh Bapanapalli Mohan Babu Ganasekaran Jason Adelman Maureen Scanlan
– Fall risk assessment – Tailored fall prevention care planning – Consistent implementation of the tailored care plan
– “Framework for spread” – Fall prevention/Quality committee – Standardization – Unit-based champions – Competency – Continuous quality improvement audits
Evidence-based Fall Prevention
Source: Morse, J.M. (2008). Preventing patient falls. (2nd ed). New York: Springer. Published, 2008.
Source: Morse, J.M. (2008). Preventing patient falls. (2nd ed). New York: Springer. Published, 2008.
Source: Morse, J.M. (2008). Preventing patient falls. (2nd ed). New York: Springer. Published, 2008.
Evidence-based Fall Prevention
Standardized fall risk assessment is prerequisite to implementing evidence-based fall prevention intervention protocol.
Step 1
Step 1
Source: Morse, JM. Predicting Patient Falls. CA: Sage Publications, 1997.
Areas of Risk Numeric Values
No 0 Yes 25
No 0 Yes 15
None/bed rest/nurse assist Crutches/cane/walker Furniture 15 30 IV or IV access No 0 Yes 20
Normal/bed rest/ wheelchair Weak Impaired 10 20
Oriented to own ability Overestimates or forgets limits 15
Step 1
– Patient has fallen during this hospitalization. – Patient has immediate history of falls within the past 3 months. This is the most significant indicator for falling.
History of Falls No Yes 25 Step 1 + 2
report, and signage.
Secondary Diagnosis No Yes 15
Patients with multiple medical diagnoses are often on multiple medications. Along with the physical symptoms from the secondary diagnoses, this increases their risk for falls.
Step 1 + 2 Think about factors that may increase risk for falls that are related to multiple medical problems:
urination, and unsteadiness
schedule
needs help, but does not ask or does not comply with order for bed rest
Ambulatory Aid None/ bed rest/ nurse assist Crutches/ cane/walker 15 Furniture 30
Step 1 + 2
ambulatory aid.
lock.
IV/Heparin (Saline) Lock No Yes 20
Step 1 + 2
hesitation.
uses as a guide (feather-weight touch).Short steps, may shuffle.
Head down; watches ground while walking.Cannot walk without assist; grabs at furniture or whatever available.Short, shuffling gait.
Gait Normal Weak 10 Impaired 20
Assess your patient’s gait while they are walking with their ambulatory aid
Step 1 + 2
the bathroom alone or do you need assistance?”
with ambulation order or unrealistic.
abilities or is forgetful of limitations.
Mental Status Normal Forgets or
15
Step 1 + 2
Step 1
they fall.
prevention plan.
Step 2
Step 2
Step 3
Summary: To perform the 3-step fall prevention process:
Evidence-based Fall Prevention
medical unit with chest pain and shortness of breath. On admission, the patient was found to be alert and oriented. He had an IV and was placed on a cardiac monitor.
he was independent with walking and transfers. However, the nurse noted that the doctor’s order was for walking with cane and assistance only.
home several times over the past year, most recently last month.
initially he used the bedside table and other furniture as guides and needed to be reminded to use his cane.
the bathroom.
John 05/12/2016
Evidence-based Fall Prevention
Evidence-based Fall Prevention
Framework for Spread: helps participants consider implementation requirements, develop a communication plan, and design strategies to promote adoption by staff.