Journal of Physical Medicine Rehabilitation & Disabilities Category: Medical Type: Research Article

Concordance of Self-Report and Performance-Based Measures of Function and Differences between Clinic and Home among Wheelchair Users

Hassan Izzeddin Sarsak (PhD, OT) 1*

1 Department of occupational therapy, Batterjee Medical College, PO Box 6231 Jeddah 21442 KSA, Saudi arabia

*Corresponding Author(s):
Hassan Izzeddin Sarsak (PhD, OT)
Department Of Occupational Therapy, Batterjee Medical College, PO Box 6231 Jeddah 21442 KSA, Saudi Arabia
Email:hassan.sarsak@bmc.edu.sa

Received Date: Dec 23, 2018
Accepted Date: Jan 22, 2019
Published Date: Feb 05, 2019

Abstract

Objective
The main objective of this study was to investigate concordance and differences among self-report and performance-based measures for wheelchair users.
Method
The Functioning Everyday with a Wheelchair (FEW); a self-report measure, the FEW-Capacity (FEW-C); a performance-based measure for the clinic and the FEW-Performance (FEW-P) that measures clients’ skills in the home were the measures used in this study. We examined the concordance of the FEW and the FEW-C with the FEW-P as the criterion measure, and investigated the differences between the FEW-C and the FEW-P at pretest and posttest following the provision of a new wheeled mobility and seating device.
Results
Our results suggested that the FEW-C was most concordant with the FEW-P for majority of the items compared to the FEW. At both pretest and posttest, for most of the tasks, the FEW-C and FEW-P were comparable suggesting that the environment may have a neutral effect. However, at posttest, the clients’ safety scores for the outdoor mobility task and the clients’ quality scores for the Personal Care task improved significantly suggesting that the standard supportive environment of the clinic may have enabling effect on activity performance.
Conclusion
Clinically, rehabilitation clinicians may get a more accurate estimation of functional performance in the home from a clinic assessment, and they are cautioned that the inclusion of self-report assessment and data obtained from clients’ perceptions may be discrepant with actual performance. We also concluded that the impact of the environment on activity performance of wheelchair users can be neutral or enabling depending on time of assessment and tasks being assessed.

Keywords

Clinic, Concordance, FEW, Functional assessments, Home, Wheelchair users

BACKGROUND

Rehabilitation clinicians frequently use performance assessments in a clinic setting to make predictions about clients’ ability to safely and independently perform Activities of Daily Living (ADL) and instrumental ADL (IADL) in their home environment. Despite this common practice, research has shown that performance-based observation conducted in clinic setting often yields different results from those conducted in clients’ homes [1-4]. Prior research has documented both better performance in the home compared to the clinic and better performance in the clinic compared to the home, depending on the nature of the impairments and the supportiveness of the environment [3,5]. Additionally, rehabilitation clinicians use self-report of clients’ abilities to perform ADL and IADL to augment performance-based measures [3,6,7]. Research has suggested that if the outcome from self-report and performance-based methods is comparable, self-reports might be preferred because they are easy to learn, require less skill to administer, are less time consuming, and are less costly [3,6]. However, research suggests that there is low to moderate agreement between data obtained by self-report and performance-based observation in the home [8-10]. A study by Rogers et al., showed different rates of concordance for self-report and clinic performance with the criterion in-home performance, depending on the tasks being assessed [3]. Activities with a cognitive component and personal care activities (i.e., cleansing, trimming toenails) showed greater concordance between self-report and home compared to clinic. In contrast, activities with a predominantly motor component (i.e., toilet transfer, bath transfer, shower transfer, sweeping, taking out garbage) showed greater concordance between clinic and home compared to activities with a predominantly cognitive component (i.e., paying bills, managing medication). When clinic performance was not concordant with home performance, it consistently underestimated it, suggesting greater disability. The authors suggested that the low concordance between the clinic and home assessments was likely due to environmental factors (standardization of the clinic and familiarity of the home environment). Poor concordance between clinic and home has been demonstrated in other clinical populations, such as community dwelling older adults [1], older women with major depression [11], older women with heart failure [2], and older adults with visual impairments [4]. These studies found that the familiarity of the home seemed to facilitate overall functional performance. In contrast, the standardization of clinical settings may help clients to better perform some specific tasks (e.g. stairs use) that require better lighting and clutter-free spaces. Their findings suggested that the impact of the environment on activity performance can be neutral, enabling, or disabling depending on the level of analysis, and the activity being analyzed. Also, they concluded that if a rehabilitation clinician wants to know how a person performs IADLs, the clinician should evaluate that person’s performance in the environment in which the client will be functioning. In contrast to the previous studies, in a sample of adults with diagnosed or suspected dementia, they found no overall difference in IADL performance between the clinic and home settings [12].

Overall, research studies comparing performance for ADL and IADL between clinic, self-report, and home settings yielded conflicting results. Despite the importance of assessing functional performance in persons who have been prescribed wheeled mobility and seating device, little is known about the relative concordance of the different methods used to obtain this information (self-report and performance-based outcome measures). Previous studies have reported that self-reports of performance with a wheeled mobility and seating device do not always agree with clinic and home measures of the same performance [6,7,13]. A comparison study of self-report and performance-based instruments to measure change in function following the provision of wheeled mobility and seating interventions for adults with disabilities who used manual or power wheelchairs or scooter as their primary mobility and seating device showed that both self-report and performance measures at the clinic were able to detect significant changes in function over time following the provision of a new wheeled mobility and seating device. However, the self-report often significantly underestimated function and therefore documented greater changes in function over time than did the performance measure at the clinic [14].

The specific aims for this study are (1) to examine the concordance of the self-report; Functioning Everyday with a Wheelchair (FEW) and the FEW-Capacity (FEW-C, a performance-based measure for the clinic) with the criterion measure, the FEW-Performance (FEW-P, a performance-based measure for the home), and (2) to investigate the differences between the clinic and home performance-based measures; the FEW-C and the FEW-P at pretest and posttest following the provision of a new wheeled mobility and seating device.

HYPOTHESIS

Aim 1 is descriptive. For Aim 2, our null hypothesis was that there would be no differences between the FEW-C and the FEW-P for independence, safety and quality data at pretest and posttest following the provision of a new wheeled mobility and seating device.

METHODS

Design

This study used secondary data analyses of data collected in two previous studies [14,15]. Data in this study were examined to explore the concordance of the FEW and the FEW-C with the FEW-P, and to investigate the differences between the clinic and home performance-based measures; the FEW-C and the FEW-P at pretest and posttest following the provision of a new wheeled mobility and seating device.

In-home performance (FEW-P) was selected as the criterion method because 1) the home is the environment where persons usually perform their routine activities of daily living and either offers the most support or challenges functional performance, 2) the home is a familiar real-world environment where persons wish to remain [3].

Participants

Participants for this study were a subset of participants from the studies by Mills and Schmeler [14,15]. The study sample consisted of 19 wheelchair users with progressive or non-progressive conditions who needed a new wheeled mobility and seating device. Nine were male and 10 were female. The average participant was Caucasian, 53.1 years old, and had used a wheelchair for 9.5 years. Participants with multiple sclerosis comprised over one third of the sample (Table 1). At pretest, 16 of the wheelchairs were manual and 3 were power. The manual wheelchairs, on average, were 3.7 years old and most of them had no seat functions. At posttest, all participants had power wheelchairs, and most of these wheelchairs were equipped with multiple seat functions (Table 2).
 

Demographics

Mean (SD) [range]

n

Age (mean, SD) [range]

53.1 (± 11.0) [36 - 72]

 

Gender 

Male (n)

 

9

Female (n)

 

10

Race

Caucasian (n)

 

17

African American (n)

 

2

Years using a wheelchair (mean, SD)

9.5 (± 11.3) [1 - 45]

 

Age of current wheelchair (mean, SD)

3.74 (± 2.5) [1 - 9]

 

Number of wheelchairs owned currently 

1 (n)

 

11

2 (n)

 

7

3 (n)

 

1

Primary medical condition

Above Knee Amputation(n)

 

1

Cardiac Disease (n)

 

1

Cerebral Palsy (n)

 

1

Cerebral Vascular Accident (n)

 

2

Lupus (n)

 

1

Mitochondrial Disease (n)

 

1

Multiple Sclerosis (n)

 

7

Orthopedic Disorder (n)

 

1

Parkinson Disease (n)

 

1

Spina Bifida (n)

 

2

Traumatic Brain Injury (n)

 

1

Table 1: Study participants’ demographics at baseline (n=19)

 

Characteristics

Pretest
n

Posttest
n

Type of wheeled mobility and seating device 

Manual wheelchair

16

0

Power wheelchair

3

19

Scooter

0

0

Seat functions

Power tilt in space only

1

3

Power reclining backrest only

0

0

Power seat elevator only

1

1

Tilt-in-space and reclining back only

0

1

All of the above

0

9

All of the above plus passive standing

0

1

Table 2: Type of wheeled mobility and seating device and seat functions at pretest and posttest (n=19)

 

INSTRUMENTS

The FEW, FEW-C and FEW-P were the measures used in this study. The FEW is a 10 item self-report that measures perceived functional independence of individuals who use a wheelchair or scooter as their primary mobility and seating device (Table 3). The FEW-C is a performance-based measure for the clinic and has 10 items. Items 2 - 10 are performance-based, and item 1 is a self-report. The FEW-C was designed to measure function based on the ICF construct of capacity. The FEW-P is a performance-based measure for the home and has 10 items with items 2 - 10 being performance-based, and item 1 being self-report, as in the FEW-C. The FEW-P was designed to measure function in the “lived in” environment according to the ICF. The trio of FEW tools has been used in research and proved to be reliable, valid and useful [14-19].
 

Items/tasks

Stability, Durability, Dependability

Comfort Needs

Health Needs

Operate

Reach

Transfer

Personal Care

Indoor Mobility

Outdoor Mobility

Transportation

Table 3: Items of the FEW, FEW-C and FEW-P.

PROCEDURES

After study procedures were explained and written informed consents were signed, the FEW and FEW-C pretest assessments were conducted by trained occupational therapists and occurred on a regularly scheduled clinic visit for a seating evaluation, followed by the FEW-P assessment within 1 week. The posttest assessments occurred in the same sequence (FEW, FEW-C and FEW-P) after receiving the new wheelchair. A fixed rather than a random order of assessment methods was followed, with self-report before performance because perceptions (self-reports) are more likely to be biased by performance than the reverse. The FEW tools have demonstrated excellent interrater reliability. Mean duration between pretest and posttest was 57 days [15,14].

DATA ANALYSIS

Percent agreement statistics at both pretest and posttest were computed to determine the concordance among items 2-10 of the three instruments (FEW, FEW-C and FEW-P) for each subject (19 subjects). Percent agreement was calculated by dividing the number of participant agreements by the sum of the number of participant agreements and disagreements. The percentage of items for each method that resulted in either overestimation or underestimation of ability was calculated to identify bias and direction of disagreement. We then examined the differences between the FEW-C and the FEW-P for independence, safety, and quality data for the 9 items at pretest and posttest following the provision of a new wheeled mobility and seating device by analyzing the average total scores using paired t tests. Differences between the FEW and FEW-C and the FEW and FEW-P have been reported elsewhere [14,15]. Stability, durability, and dependability item was not included as it is a self-report item and differs from all other items of the FEW-C and FEW-P. To eliminate the effect of multiple comparisons, we used a Bonferroni adjustment [20].

RESULTS

Concordance and Bias

Tables 4 and 5 present percent agreement, percent overestimation, percent underestimation, and bias for each of the items 2-10 of the FEW and FEW-C relative to the criterion method (FEW-P) at pretest and posttest respectively.

 

Item/Task

= FEW-P (home)

> FEW-P (home)

< FEW-P
(home)

Bias

Comfort needs

 

 

 

 

FEW(self-report)

26.3

10.5

63.2

-52.7

FEW-C (clinic)

42.1

21.1

36.8

-15.7

Health needs

       

FEW(self-report)

21.1

10.5

68.4

-57.9

FEW-C (clinic)

63.2

15.8

21

-5.2

Operate

       

FEW(self-report)

26.3

0

73.7

-73.7

FEW-C (clinic)

57.9

15.8

26.3

-10.5

Reach

       

FEW(self-report)

10.5

0

89.5

-89.5

FEW-C (clinic)

68.4

5.3

26.3

-21

Transfer

       

FEW(self-report)

42.1

26.3

31.6

-5.3

FEW-C (clinic)

52.6

21.1

26.3

-5.2

Personal care

       

FEW(self-report)

36.8

15.8

47.4

-31.6

FEW-C (clinic)

78.9

5.3

15.8

-10.5

Indoor mobility

       

FEW(self-report)

36.8

15.8

47.4

-31.6

FEW-C (clinic)

31.6

26.3

42.1

-15.8

Outdoor mobility

       

FEW(self-report)

52.6

21.1

26.3

-5.2

FEW-C (clinic)

66.6

16.7

16.7

0

Transportation

       

FEW(self-report)

50

33.3

16.7

+16.6

FEW-C (clinic)

72.7

27.3

0

+27.3

Table 4: Percent agreement and bias of the FEW and FEW-C with the FEW-P at pretest.
Note: = FEW-P (home) = The percent agreement with the criterion (FEW-P); > FEW-P (home) = Percent of ratings higher than the criterion (overestimation of performance); < FEW-P (home) = Percent of ratings lower than the criterion (underestimation of performance); Bias = Direction and magnitude of the rating bias compared with the criterion measure (computed as > FEW-P - < FEW-P); FEW: The Functioning Everyday with a Wheelchair instrument (the self-report version); FEW-C: FEW-Capacity (the clinic-version); FEW-P: FEW-Performance (the home-version; the criterion).

 

Item/Task

= FEW-P
(home)

> FEW-P (home)

< FEW-P (home)

Bias

Comfort needs

 

 

 

 

FEW(self-report)

57.9

15.8

26.3

-10.5

FEW-C (clinic)

89.5

10.5

0

+10.5

Health needs

       

FEW(self-report)

63.2

21

15.8

+5.2

FEW-C (clinic)

73.7

15.8

10.5

+5.3

Operate

       

FEW(self-report)

68.4

21.1

10.5

+10.6

FEW-C (clinic)

73.7

26.3

0

+26.3

Reach

       

FEW(self-report)

31.6

15.8

52.6

-36.8

FEW-C (clinic)

52.6

21.1

26.3

-5.2

Transfer

       

FEW(self-report)

63.2

26.3

10.5

+15.8

FEW-C (clinic)

42.1

31.6

26.3

+5.3

Personal care

       

FEW(self-report)

31.6

26.3

42.1

-15.8

FEW-C (clinic)

63.2

21

15.8

+5.2

Indoor mobility

       

FEW(self-report)

68.4

10.5

21.1

-10.6

FEW-C (clinic)

73.7

15.8

10.5

+5.3

Outdoor mobility

       

FEW(self-report)

57.9

31.6

10.5

+21.1

FEW-C (clinic)

57.9

31.6

10.5

+21.1

Transportation

       

FEW(self-report)

46.2

46.2

7.6

+38.6

FEW-C (clinic)

61.5

30.8

7.7

+23.1

Table 5: Percent agreement and bias of the FEW and FEW-C with the FEW-P at posttest.
Note: := FEW-P (home) = The percent agreement with the criterion (FEW-P); > FEW-P (home) = percent of ratings higher than the criterion (overestimation of performance); < FEW-P (home) = Percent of ratings lower than the criterion (underestimation of performance); Bias = Direction and magnitude of the rating bias compared with the criterion measure (computed as > FEW-P - < FEW-P); FEW: the Functioning Everyday with a Wheelchair instrument (the self-report version); FEW-C: FEW-Capacity (the clinic-version); FEW-P: FEW-Performance (the home-version; the criterion).

At pretest, the FEW-C was more concordant with the FEW-P compared to the FEW for 8 of 9 items, the exception being indoor mobility. When there was a disagreement, for 7 of 9 items --- all but outdoor mobility and Transportation --- clinic underestimated home, and Outdoor Mobility, underestimated and overestimated equally. Moreover, for 8 of 9 items ---all but Transportation ---self-report underestimated home. Overall, when FEW and FEW-C were not concordant with the FEW-P, they consistently underestimated it with the exception of transportation, which overestimated performance. 

At posttest, the FEW-C was more concordant with the FEW-P compared to the FEW for 7 of 9 items --- all except transfer and outdoor mobility. However, when the FEW and FEW-C were not concordant with the FEW-P, they had different tendencies. The FEW-C consistently overestimated the FEW-P, with the exception of Reach. The FEW underestimated the FEW-P for 4 of 9 items --- Comfort Needs, Reach, Personal Care, Indoor Mobility --- and overestimated the FEW-P for 5 of 9 items --- Health Needs, Operate, Transfer, Outdoor Mobility, and Transportation. 

At both pretest and posttest, the FEW-C was more concordant with the FEW-P for the majority of the items compared to the FEW.

At pretest, the FEW-C was most concordant with the FEW-P for the Personal Care task and was least concordant with the FEW-P for the Indoor Mobility task. In contrast, the FEW were most concordant with the FEW-P for the outdoor mobility task and were least concordant with the FEW-P for the Reach task. 

At posttest, the FEW-C was most concordant with the FEW-P for the Comfort task and was least concordant with the FEW-P for the transfer task. In contrast, the FEW were most concordant with the FEW-P for the Operate and Indoor Mobility tasks and were least concordant with the FEW-P for the Reach and Personal Care tasks.

DIFFERENCES BETWEEN THE FEW-C AND FEW-P AT PRETEST AND POSTTEST

Below are the results of the paired t-tests of the FEW-C and FEW-P total independence, safety, and quality scores and of the individual items at pretest and posttest (Tables 6-15).
 

Pretest

Posttest

Data

95% CI

t

df

Sig.

95% CI

t

df

Sig.

Independence

[-0.40, -0.03]

-2.39

18

0.028

[0.02, 0.26]

2.39

18

0.028

Safety

[-0.27, 0.24]

-0.1

18

0.918

[0.12, 0.49]

3.39

18

0.003

Quality

[-0.34, 0.23]

-0.4

18

0.691

[0.10, 0.49]

3.18

18

0.005

Table 6: Differences between the FEW-C and FEW-P for the total scores at pretest and posttest.

Note: p< .01

Pretest

Posttest

Data

95% CI

t

df

Sig.

95% CI

t

df

Sig.

Independence

[-0.69, 0.27]

-0.93

18

0.366

[-0.04, 0.20]

1.37

18

0.187

Safety

[-0.74, 0.64]

-0.16

18

0.875

[-0.21, 0.53]

0.9

18

0.38

Quality

[-1.21, 0.05]

-1.93

18

0.069

[-0.20, 0.31]

0.44

18

0.667

Table 7: Differences between the FEW-C and FEW-P for comfort needs at pretest and posttest.

Note: p< .01

Pretest

Posttest

Data

95% CI

t

df

Sig.

95% CI

t

df

Sig.

Independence

[-0.35, 0.28]

-0.24

18

0.816

[-0.13, 0.23]

0.62

18

0.546

Safety

[-0.48, 0.90]

-0.64

18

0.531

[-0.09, 0.62]

1.56

18

0.135

Quality

[-0.99, 0.57]

-0.57

18

0.578

[-0.37, 0.58]

0.46

18

0.65

Table 8: Differences between the FEW-C and FEW-P for Health Needs at pretest and posttest.

Note: p< .01

 

Pretest

Posttest

Data

95% CI

t

df

Sig.

95% CI

t

df

Sig.

Independence

[-0.74, 0.12]

-1.54

18

0.141

[-0.07, 0.75]

1.75

18

0.097

Safety

[-0.71, 0.29]

-0.89

18

0.385

[-0.14, 0.25]

0.57

18

0.578

Quality

[-0.45, 0.66]

-0.4

18

0.695

[-0.25, 0.35]

0.37

18

0.716

Table 9: Differences between the FEW-C and FEW-P for operate at pretest and posttest.

Note: p< .01

Pretest

Posttest

Data

95% CI

t

df

Sig.

95% CI

t

df

Sig.

Independence

[-0.96, -0.02]

-2.19

18

0.042

[-0.32, 0.23]

-0.33

18

0.742

Safety

[-1.17, 0.01]

-2.08

18

0.053

[-0.80, 0.17]

-1.37

18

0.187

Quality

[-0.94, -0.01]

-2.14

18

0.046

[-0.71, 0.29]

-0.9

18

0.385

Table 10: Differences between the FEW-C and FEW-P for reach at pretest and posttest.

Note: p< .01

 

Pretest

Posttest

Data

95% CI

t

df

Sig.

95% CI

t

df

Sig.

Independence

[-0.64, 0.38]

-0.54

18

0.593

[-0.35, 0.51]

0.39

18

0.702

Safety

[-0.54, 0.96]

0.59

18

0.561

[-0.18, 1.55]

1.66

18

0.114

Quality

[-0.47, 1.10]

0.84

18

0.411

[-0.35, 1.30]

1.21

18

0.243

Table 11: Differences between the FEW-C and FEW-P for transfer at pretest and posttest.

Note: p< .01

 

Pretest

Posttest

Data

95% CI

t

df

Sig.

95% CI

t

df

Sig.

Independence

[-0.29, -0.02]

-2.45

18

0.025

[-0.32, 0.53]

0.52

18

0.609

Safety

[-0.05, 0.47]

1.71

18

0.104

[-0.04, 0.99]

1.92

18

0.07

Quality

[-0.17, 0.59]

1.17

18

0.259

[0.32, 1.16]

3.68

18

0.002

Table 12: Differences between the FEW-C and FEW-P for personal care at pretest and posttest.

Note: p< .01

 

Pretest

Posttest

Data

95% CI

t

df

Sig.

95% CI

t

df

Sig.

Independence

[-0.56, 0.32]

-0.56

18

0.584

[-0.10, 0.31]

1.07

18

0.297

Safety

[-1.07, 0.23]

-1.36

18

0.19

[-0.05, 0.68]

1.84

18

0.083

Quality

[-0.99, 0.47]

-0.75

18

0.461

[0.01, 0.94]

2.14

18

0.046

Table 13: Differences between the FEW-C and FEW-P for indoor mobility at pretest and posttest.

Note: p< .01

 

Pretest

Posttest

Data

95% CI

t

df

Sig.

95% CI

t

df

Sig.

Independence

[-0.36, 0.32]

-0.12

17

0.91

[0.02, 1.11]

2.19

18

0.042

Safety

[-0.13, 0.69]

1.43

17

0.172

[0.30, 1.70]

3

18

0.008

Quality

[-0.19, 0.52]

1

17

0.331

[0.12, 1.57]

2.45

18

0.025

Table 14: Differences between the FEW-C and FEW-P for outdoor mobility at pretest and posttest.

Note: p< .01

 

Pretest

Posttest

Data

95% CI

t

df

Sig.

95% CI

t

df

Sig.

Independence

[-0.17, 1.20]

1.67

10

0.127

[-0.17, 0.56]

1.16

12

0.271

Safety

[-0.46, 1.73]

1.3

10

0.224

[-0.55, 0.70]

0.27

12

0.794

Quality

[-0.59, 1.68]

1.07

10

0.311

[-0.50, 0.65]

0.29

12

0.776

Table 15: Differences between the FEW-C and FEW-P for transportation at pretest and posttest.

Note: p< .01

For the total scores, at pretest, there was no significant difference between the FEW-C and the FEW-P, whereas, at posttest, the total safety and quality scores differed significantly, with the FEW-C scores being significantly better than the FEW-P scores. For the individual items, the FEW-C and FEW-P, in general, had consistent results at pretest and posttest. At pretest, the FEW-C and FEW-P, did not differ significantly for independence, safety, and quality. At posttest, the FEW-C and FEW-P, did not differ significantly for independence, safety, and quality except for quality scores for the Personal Care item (Table 12), and safety scores for the outdoor mobility item (Table 14), both of which were significantly better in the clinic (data not shown).

DISCUSSION

Our hypothesis that there would be no differences between the FEW-C and the FEW-P for independence, safety, and quality data at pretest and posttest was partially confirmed. For the total scores, at pretest there were no significant differences, but at posttest the total safety and quality scores differed significantly. At first glance, these findings may seem unexpected because the same items were used to structure both of the FEW-C and FEW-P to observe functional performance of wheelchair users in both performance situations: the clinic and the home. The primary difference in the testing procedure was that the clinic was an unfamiliar, supportive environment, whereas the home was the familiar, naturalistic one. Hence, the actual performance differences were most likely due to environmental factors and that is consistent with previous literature [11,2,3]. For the total scores, and individual item scores the results of our study indicated that at pretest, the effect of the environment was neutral. At posttest, however, the supportive environment of the clinic enabled safety and quality significantly, which was most likely driven by the quality scores for the personal care item and the safety scores for the outdoor mobility item. 

Our results indicated that at both pretest and posttest, the clinic performance-based rating, the FEW-C, was more concordant with the in-home performance-based rating, the FEW-P, than the self-report FEW. The greatest concordance between the FEW-C and FEW-P at pretest was for personal care and at posttest for comfort needs. Moreover, the range of concordance between the FEW-C and FEW-P was 31.6 percent to 78.9 percent at pretest and 42.1 percent to 89.5 percent at posttest. However, the self-report FEW was least concordant with the FEW-P, ranging from 10.5 percent to 52.6 percent at pretest, and 31.6 to 68.4 percent at posttest. Clinically, our findings indicate that rehabilitation clinicians will get a more accurate estimation of performance in the home from a clinic performance assessment compared to a self-report. Based on our findings, there was a distinct discrepancy between what clients said they could do and what they actually did; therefore, information on wheelchair function, obtained from self-report, should be used with caution. 

At pretest, when the FEW and FEW-C were not concordant with the FEW-P, both consistently underestimated it with the exception of the transportation item, suggesting greater disability. The underestimation at pretest was more evident in the FEW suggesting that participants perceived greater disability. Because the sample in our study had come to a clinical setting to be evaluated for a new wheeled mobility and seating device, their perceptions of their function as indicated on the FEW may have been worse than their actual performance as indicated on the FEW-C and FEW-P. Underestimating capabilities on the FEW self-report tool compared to pretest performance, is not unusual for individuals who are seeking interventions to obtain health services or a new product and/or equipment [14,21].

STUDY LIMITATIONS AND FUTURE DIRECTIONS

There were several limitations to this study. A major limitation was the small sample size. When assessing the concordance and differences among the FEW-C and FEW-P for the Transportation item, the results should be interpreted with caution due to the smaller sample size and missing data. Several participants were not able to complete all subtasks related to this item due to unavailability of personal and/or public transportation, inability to get the wheelchair out of the house, fatigue, or bad weather conditions at the time of the assessment. 

Our sample had adequate cognitive and language status so our findings may not be relevant to those with cognitive or communication impairments. Furthermore, not including new manual wheelchair users as well as some of the primary conditions causing disability among wheelchair users, such as osteoarthritis and spinal cord injuries [22,23] may limit the generalizability of our findings. Future studies with larger samples, studying the impact of progressive and non-progressive conditions, and the inclusion of less-experienced wheelchair users with more diverse diagnoses and cognitive and communication impairments may strengthen the generalizability of future findings.

CONCLUSION

Our results suggested that the FEW-C was most concordant with the FEW-P for majority of the items compared to the FEW. Clinically, rehabilitation clinicians may get a more accurate estimation of performance in the home from a clinic assessment, and they are cautioned that the inclusion of self-report assessment and data obtained from clients’ perceptions may be discrepant with actual performance. We also concluded that the impact of the environment on activity performance of wheelchair users can be neutral or enabling depending on time of assessment and tasks being assessed. At both pretest and posttest, for most of the tasks, the FEW-C and FEW-P were comparable suggesting that the environment may have a neutral effect. However, at posttest, the clients’ safety scores for the outdoor mobility task and the clients’ quality scores for the personal care task improved significantly suggesting that the standard supportive environment of the clinic may have enabling effect on activity performance. This research needs to be replicated across a wider range of wheelchair users with primary health conditions and cognitive and language deficits to assess the generalizability of the findings.

CONFLICT OF INTERESTS

Author declares that there is no conflict of interest.

 

 

REFERENCES

  1. Park S, Fisher AG, Velozo CA (1994) Using the assessment of motor and process skills to compare occupational performance between clinic and home settings. Am J Occup Ther 48: 697-709.
  2. Raina KD, Rogers JC, Holm MB (2007) Influence of the environment on activity performance in older women with heart failure. Disabil Rehabil 29: 545 - 557.
  3. Rogers H, Berman S, Fails D, Jaser J (2003) A comparison of functional mobility in standard vs. ultralight wheelchairs as measured by performance on a community obstacle course. Disabil Rehabil 25: 1083-1088.
  4. West SK, Rubin GS, Munoz B, Abraham D, Fried LP (1997) Assessing functional status: Correlation between performance on tasks conducted in a clinic setting and performance on the same task conducted at home. The Journals of Gerontology 52: 209-217.
  5. Leonardi M, Bickenbach J, Ustun TB, Kostanjsek N, Chatterji S (2006) The definition of disability: what is in a name? Lancet 368: 1219-1221.
  6. Newton AM, Kirby RL, Macphee AH, Dupuis DJ, Macleod DA (2002) Evaluation of manual wheelchair skills: Is objective testing necessary or would subjective estimates suffice? Arch Phys Med Rehabil 83: 1295-1299.
  7. Rushton PW, Kirby RL, Miller WC (2012) Manual Wheelchair Skills: Objective testing versus subjective questionnaire. Arch Phys Med Rehabil 93: 2313-2318.
  8. Kempen GI, Sullivan M, van Sonderen E, Ormel J (1999) Performance-based and self-reported physical functioning in low-functioning older persons: Congruence of change and the impact of depressive symptoms. J Gerontol B Psychol Sci Soc Sci 54: 380-386.
  9. Myers AM, Holliday PJ, Harvey KA, Hutchinson KS (1993) Functional performance measures: Are they superior to self-assessments? J Gerontol 48: 196-206.
  10. Wijlhuizen GJ, Ooijendijk W (1999) Measuring disability, the agreement between self evaluation and observation of performance. Disability and Rehabilitation 21: 61-67.
  11. Hamed R (2008) Task performance of older women with major depression. University of Pittsburgh, Pennsylvania, USA.
  12. Nygård L, Bernspång B, Fisher AG, Winblad B (1994) Comparing motor and process ability of persons with suspected dementia in home and clinic settings. Am J Occup Ther 48: 689-696.
  13. Warms CA, Whitney JD, Belza B (2008) Measurement and description of physical activity in adult manual wheelchair users. Disabil Health J 1: 236-244.
  14. Schmeler MR (2005) Development and testing of a clinical outcome measurement tool to assess wheeled mobility and seating interventions. University of Pittsburgh, Pennsylvania, USA.
  15. Mills TL (2003) Functioning Every Day with a Wheelchair (FEW): Development and validation of self-report and performance-based observation instruments to measure functional outcomes of seating-mobility interventions Doctoral Dissertation, University of Pittsburgh, Pennsylvania, USA.
  16. Mills T, Holm MB, Trefler E, Schmeler M, Fitzgerald S, et al. (2002) Development and consumer validation of the Functional Evaluation in a Wheelchair (FEW) instrument. Disabil Rehabil 24: 38-46.
  17. Mills TL, Holm MB, Schmeler M (2007) Test-retest reliability and cross validation of the Functioning Everyday with a Wheelchair instrument. Assist Technol 19: 61-77.
  18. Schein RM, Schmeler MR, Holm MB, Pramuka M, Saptono A, et al. (2011) Telerehabilitation assessment using the Functioning Everyday with a Wheelchair-Capacity instrument. J Rehabil Res Dev 48: 115-124.
  19. Schein RM, Schmeler MR, Holm MB, Saptono A, Brienza DM (2010) Telerehabilitation wheeled mobility and seating assessments compared with in person. Arch Phys Med Rehabil 91: 874-878.
  20. Field A (2009) Discovering statistics using SPSS. SAGE, London, UK, Pg no: 821.
  21. Cress ME, Schechtman KB, Mulrow CD, Fiatarone MA, Gerety MB, et al. (1995) Relationship between physical performance and self-perceived physical function. J Am Geriatr Soc 43: 93-101.
  22. Kaye HS, Kang T, LaPlante MP (2002) Wheelchair Use in the United States. Pantsupeasy, Pleasanton, USA.
  23. National Spinal Cord Injury Statistical Center (2009) Spinal Cord Injury Statistics. NSCISC, Birmingham, Alabama.

Citation: Sarsak HI (2019) Concordance of Self-Report and Performance-Based Measures of Function and Differences between Clinic and Home among Wheelchair Users. J Phys Med Rehabil Disabil 4: 030.

Copyright: © 2019  Hassan Izzeddin Sarsak (PhD, OT), et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Herald Scholarly Open Access is a leading, internationally publishing house in the fields of Sciences. Our mission is to provide an access to knowledge globally.



© 2024, Copyrights Herald Scholarly Open Access. All Rights Reserved!