marianjoy rehabilitation hospital fall risk assessment tool project donna pilkington, rn, msml, crrn...
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![Page 1: Marianjoy Rehabilitation Hospital Fall Risk Assessment Tool Project Donna Pilkington, RN, MSML, CRRN Kathleen Ruroede, PhD, MEd, RN Nancy Cutler, RN, MS,](https://reader035.vdocument.in/reader035/viewer/2022062216/56649cec5503460f949b7c9d/html5/thumbnails/1.jpg)
Marianjoy Rehabilitation Hospital Marianjoy Rehabilitation Hospital Fall Risk Assessment Tool ProjectFall Risk Assessment Tool Project
Donna Pilkington, RN, MSML, CRRNDonna Pilkington, RN, MSML, CRRN
Kathleen Ruroede, PhD, MEd, RNKathleen Ruroede, PhD, MEd, RN
Nancy Cutler, RN, MS, CRRNNancy Cutler, RN, MS, CRRN
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Fall Risk Assessment LiteratureFall Risk Assessment Literature
• Morse Fall Scale
• Marianjoy Fall Risk Assessment
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Morse Fall ScaleMorse Fall Scale
• The Morse Fall Scale (MFS) is a rapid and simple method of assessing a patient’s likelihood of falling.
• The MFS is used widely in acute care settings, both in the hospital and long term care inpatient settings.
• It consists of six variables that are quick and easy to score, and it has been shown to have predictive validity and interrater reliability.
• A large majority of nurses (82.9%) rate the scale as “quick and easy to use,” and
• 54% estimated that it took less than 3 minutes to rate a patient.
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Morse Fall Scale IndicatorsMorse Fall Scale Indicators1. History of falling with in three
months No = 0 Yes = 25
2. Secondary Diagnosis No = 0 Yes = 15
3. Ambulatory Aid Bed rest/nurse assist = 0
Crutches/cane/walker =15
Furniture = 30
4. IV/Heparin Lock No = 0 Yes = 20
5. Gait/Transferring Normal/bedrest/immobile = 0
Weak = 10
Impaired = 20
6. Mental Status Oriented to own ability = 0
Forgets limitations = 15
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Scoring the Morse Fall ScaleScoring the Morse Fall Scale
Risk Level MFS score Action
________________________________________
No Risk 0 – 24 Basic Care
Low Risk 25 – 50 Standard Fall
Precautions
High Risk > 51 High Risk
Precautions
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Marianjoy Fall Risk AssessmentMarianjoy Fall Risk Assessment
• Altered elimination patterns 10
• Unilateral neglect
10
• Impaired cognition 20
• Sensory deficits (hearing,
sight, touch) 5
• Agitation 20
• Impaired mobility 5
• History of previous falls 20
• Impulsiveness 20
• Communication deficits 20
• Lower extremity hemiparesis 10
• Activity intolerance 10
• Episodes of dizziness/seizures 10
• Special medications (narcotics, psychotropic, hypnotic, antidepressants etc.) 5
• Diuretics, and drugs that
increase GI motility 5
• Upper extremity paresis 5
• Age greater that 65 or less
than 16 5
•High Risk: >60 points Place Patient in Caution Club
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Guiding Question?Guiding Question?
Is the Marianjoy Fall Risk
Assessment a valid and reliable
method for predicting rehabilitation
patient fall events if it is properly
scored at admission?
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Description of Research StudyDescription of Research Study
• Pilot study of 50 patients
– 25 patients who had fallen
– 25 matched patients who had not fallen
• Dependent variable fall status
• Independent variables
– Caution Club status
– Admission FIM total score
– Modified admission Berg Balance total score
– Admission fall risk assessment
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Pilot Study ResultsPilot Study Results
• Patients significantly differed on Berg, FIM, and fall risk assessment scale
• Five items found to separate fall groups
– History of falls
– Unilateral neglect
– Episodes of dizziness / seizures
– Special medications
– Diuretics and drugs that increase GI motility
– Sensory deficits
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Always be Always be alert for a alert for a new and new and creative creative idea... You idea... You never know never know what’s in what’s in your graspyour grasp
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Replicated Study with a Larger SampleReplicated Study with a Larger Sample
• 2005 data used
• Total N = 450 patients included
• 125 patients with documented fall status
• 325 patients who had not fallen were randomly selected from dataset
• 232 patients were on caution club status
• 218 patients not on caution club status
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Replicated Study with a Larger SampleReplicated Study with a Larger Sample
• Hypotheses tested
– Patients did not significantly differ on fall status for:
• Fall assessment
• Admission FIM Score
• Modified Berg Balance Score
• Age
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Replicated Study with a Larger SampleReplicated Study with a Larger Sample
• Statistical Procedures– Descriptive statistics– Sensitivity and specificity on original scale– Sensitivity and specificity on converted
dichotomous scale– Item analysis on dichotomous scale that
separate fallers from non-fallers– Total of 9 items discriminate groups
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Replicated Study with a Larger SampleReplicated Study with a Larger Sample
• Statistical Procedures
– Validity procedures using factor analysis (component analysis)
– Reliability analysis using Cronbach’s Alpha
– Logistic regression to develop predictive model of fall status
– Development of new “Caution Club” threshold value – New Threshold Cut Score = > 4
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Always be ready for any Always be ready for any surprises while working on surprises while working on
the projectthe project
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Results – Descriptive StatisticsResults – Descriptive StatisticsDescriptive Statistics
325 65.60 16.793
125 62.27 17.596
FallNo
Yes
AgeN Mean
Std.Deviation
Gender
179 55.1
52 41.6
146 44.9
73 58.4
FallNo
Yes
No
Yes
Female
Male
ValidFrequency Percent
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Results – Inferential StatisticsResults – Inferential StatisticsRanks Original Fall Assessment by Fall Status
325 189.19 61488.00
125 319.90 39987.00
450
FallNo
Yes
Total
Initial Fall Risk AssmntN Mean Rank Sum of Ranks
Test Statisticsa
8513.000
61488.000
-9.561
.000
Mann-Whitney U
Wilcoxon W
Z
Asymp. Sig. (2-tailed)
Initial FallRisk Assmnt
Grouping Variable: Falla.
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Results – Inferential StatisticsResults – Inferential Statistics
Ranks Original Fall Assessment by Caution Club Status
218 109.50 23871.00
232 334.50 77604.00
450
Caution ClubNo
Yes
Total
Initial Fall Risk AssmntN Mean Rank Sum of Ranks
Test Statisticsa
.000
23871.000
-18.365
.000
Mann-Whitney U
Wilcoxon W
Z
Asymp. Sig. (2-tailed)
Initial FallRisk Assmnt
Grouping Variable: Caution Cluba.
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Results – Inferential StatisticsResults – Inferential StatisticsRanks
214 265.93
236 188.84
450
214 287.94
236 168.88
450
214 223.75
236 227.09
450
NewCautionClubWeightCutat3No
Yes
Total
No
Yes
Total
No
Yes
Total
Total Berg
FIM Total Admissionwithout tubshower
Age
N Mean Rank
Berg and FIM Significantly Differ, but Age does not significantly differ
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Results from Item Analysis Results from Item Analysis • Nine items found to discriminate fall groups
– History of Falls (Weight 2)– Impulsiveness (Weight 2)– Communication Deficits – Altered Elimination Patterns– Unilateral Neglect– Lower Extremity Hemiparesis– Upper Extremity Hemiparesis– Special Medications– Diuretics and Drugs that Increase GI Mobility
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Factor AnalysisFactor Analysis and Reliability and Reliability
• Three Components Extracted
• 55% Total Explained Variance in Model
Rotated Component Matrixa
.841 .045 -.014
.826 -.008 -.092
.710 .211 -.043
-.110 .739 -.069
.104 .722 .087
.477 .504 .061
.212 .354 .080
-.038 -.003 .813
-.048 .097 .768
UEExtremHemipDichot
LEHemiparDichot
UnilatNeglDichot
HxFalls2
Impuls2
CommunDeficDichot
AlterEliminDichot
SpecialMedsDichot
DiureticsDichot
1 2 3
Component
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
Rotation converged in 5 iterations.a.
Reliability Statistics
.558 9
Cronbach'sAlpha N of Items
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Logistic Regression ModelLogistic Regression Model
• R Square Value .253
Variables in the Equation
.015 .035 .188 .665 1.015
-.033 .009 13.646 .000 .968
-1.398 .280 25.024 .000 .247
-.011 .007 2.837 .092 .989
1.690 .520 10.555 .001 5.419
Total Berg
FIIM Total Adm
New Caution Club
Age
Constant
Step1
a
B S.E. Wald Sig. Exp(B)
Variable(s) entered on step 1: totberg, FIIMtotadm, NewCautionClubWeightCut3, Age.a.
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Results from CrosstabulationsResults from CrosstabulationsOriginal Caution Club Status by Fall Crosstabulation
200 18 218
44.4% 4.0% 48.4%
125 107 232
27.8% 23.8% 51.6%
325 125 450
72.2% 27.8% 100.0%
Count
% of Total
Count
% of Total
Count
% of Total
No
Yes
CautionClub
Total
No Yes
Fall
Total
New Caution Club Status by Fall Crosstabulation
191 23 214
42.4% 5.1% 47.6%
134 102 236
29.8% 22.7% 52.4%
325 125 450
72.2% 27.8% 100.0%
Count
% of Total
Count
% of Total
Count
% of Total
No
Yes
NewCautionClubWeightCutat3
Total
No Yes
Fall
Total
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Sensitivity and SpecificitySensitivity and Specificity
d
191
c
23
b
134
a
102
Fall
+ -
Caution
Club
+
-
236
(a+b )
214
(c+d )
125
(a+c )
325
( b+d )
d
191
c
23
b
134
a
102
d
191
c
23
b
134
a
102
Fall
+ -
Caution
Club
+
-
236
(a+b )
214
(c+d )
125
(a+c )
325
( b+d )
Sensitivity = a / (a + c) = 102 / 125 = .82 Specificity = d / (b + d) = 191 / 325= .59False Negative = c / (a + c) = 23 / 125 = .18
False Positive = b / (b + d) = 134 / 325 = .41 PPV = a / (a + b) = 102 / 236 = .43 NPV = d / (c + d) = 191 / 214 = .89
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Odds and Odds RatioOdds and Odds Ratio
• True Odds Ratio = 6.25
• This can be interpreted to mean that a patient who is on caution club status was 6.2 times more likely to incur a fall than a patient who was not on caution club status.
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Odds and Odds RatioOdds and Odds Ratio
• Relative Risk of a Fall = 3.9
• This can be interpreted to mean that the risk of patients on caution club status are 3.9 times more likely to occur than those patients who were not on caution club status.
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Don't get off Don't get off strategy and strategy and stay focusedstay focused
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Conclusions and Conclusions and RecommendationsRecommendations