Eun-Young Park1, Young-Jung Lee2, Yoo-Im Choi3. 1. Department of Secondary Special Education, College of Education, Jeonju University, Republic of Korea. 2. Department of Physical Therapy, Bundang Jesaeng Hospital, Daejin Medical Center, Republic of Korea. 3. Department of Occupational Therapy, School of Medicine and Institute for Health Improvement, Wonkwang University: 460 Iksandae-ro, Iksan, Jeollabuk-do 570-749, Republic of Korea.
Abstract
[Purpose] This study attempted to investigate the sensitivity and specificity of the Falls Efficacy Scale (FES) and the Activities-Specific Balance Confidence Scale (ABC) for community residents with hemiplegic stroke. [Subjects and Methods] The FES and the ABC data were collected for a sample of 99 community-dwelling hemiplegic stroke patients in Korea. The Receiver Operating Characteristic (ROC) curve was used to determine the cut-off values, and the area under the curve (AUC) was used to assess the overall accuracy of each balance test. Multivariate logistic regression analysis was employed to identify the predictors of falling. [Results] The cut-off value was 63.75 in the ABC and 66.50 in the FES. The sensitivity and specificity of the ABC was 41.3% and 92.0%, respectively. The sensitivity and specificity of the FES was 69.8% and 63.9%, respectively. The AUC was 0.691 for the ABC and 0.678 for the FES. The ABC explained 28.0% of the variance in the experience of falls. [Conclusion] The ABC has the ability to determine non-fallers, and it was a good explanatory factor of experience of falls.
[Purpose] This study attempted to investigate the sensitivity and specificity of the Falls Efficacy Scale (FES) and the Activities-Specific Balance Confidence Scale (ABC) for community residents with hemiplegic stroke. [Subjects and Methods] The FES and the ABC data were collected for a sample of 99 community-dwelling hemiplegic strokepatients in Korea. The Receiver Operating Characteristic (ROC) curve was used to determine the cut-off values, and the area under the curve (AUC) was used to assess the overall accuracy of each balance test. Multivariate logistic regression analysis was employed to identify the predictors of falling. [Results] The cut-off value was 63.75 in the ABC and 66.50 in the FES. The sensitivity and specificity of the ABC was 41.3% and 92.0%, respectively. The sensitivity and specificity of the FES was 69.8% and 63.9%, respectively. The AUC was 0.691 for the ABC and 0.678 for the FES. The ABC explained 28.0% of the variance in the experience of falls. [Conclusion] The ABC has the ability to determine non-fallers, and it was a good explanatory factor of experience of falls.
Stroke survivors have been reported to have a high risk of falls1). Falls are the cause of serious complication after
stroke2), and about one-third of
hospital-related falls lead to potentially serious injuries such as fractures3). Falls by strokepatients have additional
effects on rehabilitation outcomes and functional recovery4). Because of the extreme cost both to the patient and to society,
prevention of falls by strokepatients is a major rehabilitation goal.Falls by strokepatients are caused by physical factors as well as psychological factors.
The representative psychological factor is fall related self-efficacy. The concept of
self-efficacy was introduced by Bandura and is considered an important motivator of human
behavior5). It affects a patient’s
ability to organize and execute different types of activities, and influences decisions
regarding whether to engage in or avoid particular activities or settings. Falls efficacy
has been found to moderately correlate with activities of daily living performance, balance,
and cognition6). Rehabilitation for
individuals with stroke concentrates on improvement of physical function and mental function
and item, such as self-efficacy have received less attention7). Self-efficacy is a psychological characteristic that has received
great attention in the management of various chronic diseases8).The tools used to assess fall-related self-efficacy are the Falls Efficacy Scale (FES) and
the Activities-specific Balance Confidence Scale (ABC). The Falls Efficacy Scale (FES) was
developed by Tinetti et al.9), and is one
of the instruments based on the theory of self-efficacy. The ABC was developed to assess in
clinical practice balance confidence of older adults10).Program for preventing falls are usually performed. Although the specific content of
interventions proposed for fall prevention depend on the patient population, the initial
step of these programs is fall-risk assessment to identify the persons who have high risk of
falls11). Despite various fall-risk
assessment tools have been reported in the literature, there is a lack of comparison between
the tools used to assess the psychological factors of falling. The purpose of this study was
to compare the accuracy of the FES and the ABC in identifying fallers versus non-fallers
among strokepatients.
SUBJECTS AND METHODS
The study sample was composed of 99 community-dwelling hemiplegic strokepatients who
visited a convalescence or rehabilitation center for disabled individuals in South Korea.
Their mean time after stroke was 97.62 months and the mean time since discharge was 61.69
months. Subjects who scored less than 18 points on the Korean version of the Mini Mental
State Examination (MMSE-K) were excluded from this study. Study approval was received from
the Ethics Review Board of Jeonju University, and written informed consent was obtained from
all of the participants. The interviews were carried out by trained registered physical
therapists. There were 35 fallers and 64 non-fallers. The mean age of fallers was 64.83
(SD=9.76) years, and the mean age of non-fallers was 62.83 (SD=8.64) years. The mean K-MMSE
score of the fallers was 23.43 (SD=5.93), and non-fallers had a mean K-MMSE score of 24.49
(SD=5.10).The Activities-specific Balance Confidence Scale was developed to assess the balance
confidence of older adults10). The Korean
version of the ABC Scale, a 16-item questionnaire that rates confidence from 0% (no
confidence) to 100% (very confident), was implemented. Averaging the ratings derives the
total score, and higher scores reflect higher levels of balance confidence. The ABC scale
has been used with various populations, including older adults with stroke12).The Korean FES was used for measuring fall self-efficacy13). Ten items are scored using a 10-point ordinal scale with a total
possible score of 100 points. The Korean FES items are: (1) take a bath or shower, (2) reach
up to a closet, (3) do light housekeeping (e.g., clean up your nightstand or dresser), (4)
walk around the nursing home, (5) get in and out of bed, (6) get up at night to go to the
bathroom, (7) get in and out of a chair, (8) get dressed and undressed, (9) do personal
grooming (e.g., wash your face, comb your hair), and (10) get on and off the toilet. The
assessments were performed by trained registered physical therapists.The Receiver Operating Characteristic (ROC) curve was used to determine the cut-off values
for the ABC and the FES. The overall accuracy of each balance test was assessed using the
area under the curve (AUC). The AUC indicates the probability that a strokepatient who is a
faller will be correctly identified. Multivariate logistic regression analysis was employed
to identify the predictors of falls among the strokepatients.
RESULTS
Table 1 shows the cut-off values of the ABC and the FES. The cut-off value was 63.75
for the ABC and 66.50 for the FES. The sensitivity and specificity of the ABC was 41.3% and
92.0%, respectively. The sensitivity and specificity of the FES was 69.8% and 63.9%,
respectively. The AUC was 0.691 for the ABC and 0.678 for the FES.
Table 1.
Cut-off value, AUC, sensitivity, and specificity
Variable
Cut-off value
AUC
Sensitivity (%)
Specificity (%)
ABC
63.750
0.691
41.3
92.0
FES
66.500
0.678
69.8
63.9
AUC: area under the curve
AUC: area under the curveThe multivariate logistic regression analysis showed that the ABC score was a significant
predictor of falls. Details of the results are presented in Table 2.
Table 2.
The results of multivariate logistic regression
Category
B
SE
OR
p
R2
ABC
0.045
0.015
1.047
0.002
0.280
Intercept
−1.444
0.731
0.236
0.048
DISCUSSION
Falls by strokepatients occur very frequently, and hence, a fall risk assessment scale was
developed. It was an important aspect of fall-risk assessment that physical factors as well
as psychological factors affect falling14). One psychosocial factor is the fear of falling and another is
balance self-efficacy. Psychological factors of falling should be measured using a
self-report tool. Although psychological factor of falling is one aspect of falling, few
studies have compared it with the self-report tool. The objective of this study was to
summarize information regarding existing fall assessment scales based on self-efficacy so
that clinicians can make more informed choices.Sensitivity and specificity are commonly used in order to assess the accuracy of test
measures with dichotomous results. These indicators show how well the condition can be
distinguished. Sensitivity measures the proportion of positives that are correctly
identified, i.e. the proportion of sick people who are correctly identified as having the
condition, and specificity measures the proportion of negatives that are correctly
identified, i.e. the percentage of healthy people who are correctly identified as not having
the condition. The specificity and sensitivity of the FES was low, but the specificity of
the ABC was high in this study. The results of the logistic regression analysis showed that
the ABC score was a significant explanatory variable. This means that the ABC has a good
ability to identify persons who will not fall and its use should be considered for
predicting fallers.The ROC curve for determining is a fundamental tool for diagnostic test evaluation. It
allows the creation of a complete sensitivity and specificity report for determining the
cut-off point of the test15). The
graphical plot of sensitivity versus 1-Specificity is called the receiver operating
characteristic (ROC) curve, and the area under the curve (AUC) is a measure of how well a
parameter can distinguish between two diagnostic groups. It is considered to be an effective
measure of accuracy with a meaningful interpretation16). The cut-off point for the FES was 66.50 and the cut-off point for
the ABC was 63.75. This cut-off point, which indicates the possibility of future falls, was
higher than that reported by previous studies. The high cut-off point of this study might be
due to characteristics of the subjects of this study, hemiplegic strokepatients. In AUC
analysis, from 0.5 means that the results of the test are due to chance, from 0.5 to 0.7
that the result indicates low accuracy, from 0.7 to 0.9 that the result has moderate
accuracy, and 1.0 that the test has perfect accuracy17). The accuracy of the FES and the ABC was more than 0.5 which is not
a high score. The AUC score was affected by previous fall experience, because this study was
performed retrospectively. Careful interpretation of the AUC is needed.In summary, the results of the comparison of the FES and the ABC with respect to their
abilities to determine fallers among hemiplegic strokepatients show that the ABC has the
ability to determine non-fallers. Also, the ABC was good explanatory factor of the
experience of falls. Both the FES and the ABC had low accuracy. The results of this study
suggest that comprehensive evaluation should be performed for the prediction of falls by
strokepatients. This study had some limitations because of its retrospective and
cross-sectional design. Prospective and follow-up studies should be performed to determine
the accuracy of psychological factors related to falls by strokepatients.
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