Abstract
Objectives
To test the hypothesis that powered wheelchair users who receive the Wheelchair Skills Training Program (WSTP) improve their wheelchair skills in comparison with a Control group that receives standard care. Our secondary objectives were to assess goal achievement, satisfaction with training, retention, injury rate, confidence with wheelchair use and participation.
Design
Randomized controlled trial (RCT).
Setting
Rehabilitation centers and communities.
Participants
116 powered wheelchair users.
Intervention
Five 30-minute WSTP training sessions.
Main Outcome Measures
Assessments were done at baseline (T1), post-training (T2) and 3 months post-training (T3) using the Wheelchair Skills Test Questionnaire (WST-Q 4.1), Goal Attainment Score (GAS), Satisfaction Questionnaire, Injury Rate, Wheelchair Use Confidence Scale for Power Wheelchair Users (WheelCon) and Life Space Assessment (LSA).
Results
There was no significant T2-T1 difference between the groups for WST-Q capacity scores (p = 0.600) but the difference for WST-Q performance scores was significant (p = 0.016) with a relative (T2/T1 x 100%) improvement of the median score for the Intervention group of 10.8%. The mean (SD) GAS for the Intervention group after training was 92.8% (11.4) and satisfaction with training was high. The WST-Q gain was not retained at T3. There was no clinically significant difference between the groups in injury rate and no statistically significant differences in WheelCon or LSA scores at T3.
Conclusions
Powered wheelchair users who receive formal wheelchair skills training demonstrate modest transient post-training improvements in their WST-Q performance scores, they have substantial improvements on individualized goals and they are positive about training.
Keywords: Wheelchair, rehabilitation, training, motor skills, RCT
Of people who use wheelchairs (excluding scooters) in North America, ~13% use powered wheelchairs.1–3 Powered wheelchairs can have a positive impact on well-being, self-esteem, pain, activity and participation.4–15 However, powered wheelchairs are not without problems.11,16 There can be functional difficulties with powered wheelchair use, such as difficulty maneuvering in indoor spaces, difficulty in handling for caregivers, and difficulty transporting the powered mobility devices in vehicles.8 Cognitive impairment can restrict the usefulness of power wheelchairs for some users.17,18 Safety is also an issue for users of manual and powered wheelchairs, with 5–18% of community-dwelling wheelchair users experiencing wheelchair-related injuries each year.19–25 A high proportion of wheelchairs require repairs in the first 6 months after they are provided.26,27 Wheelchair abandonment can occur when users are faced with such difficulties.7,28–31
One important aspect of the wheelchair-provision process that has become increasingly well recognized is training in wheelchair use.32 There is growing evidence of an association between wheelchair skills capacity and such broader issues as confidence33 and participation.34–42 However, the reported prevalence of formal wheelchair skills training is low.43–50
The Wheelchair Skills Training Program (WSTP)51 is a training protocol that draws on both the wheelchair literature (how to perform the skills) and the principles of motor skill learning (how to teach the skills).52 The value of wheelchair skills training with respect to increased capacity has been well documented for manual wheelchair use.53–62 There has also been some published work on powered wheelchair training,63–67 although the sample sizes have been small.
The goal of the current study was to assess the WSTP for powered wheelchair users on a larger and more heterogeneous sample. Our primary objective was to test the hypothesis that powered wheelchair users who receive the WSTP improve their wheelchair skills in comparison with a Control group that receives standard care. Our secondary objectives were to assess goal achievement, satisfaction with training, retention, injury rate, confidence with wheelchair use and participation.
METHODS
Study Design
This was a 6-site, single-blinded (testers), RCT with parallel groups. We assessed participants on 3 occasions – at baseline (T1), ≥ 3 days after training (T2) and 3 months after T2 (T3).
Ethical Issues
The project was approved by the research ethics boards of the participating institutions. All participants provided informed consent.
Sample Size
For the power analysis, based on previous studies54–57 we assumed mean pre-training WST-Q scores of 45%, a 25% relative improvement in the WST-Q capacity score (to 57%) at T2 for the Intervention group, a 5% improvement for the Control group (to 47%), a standard deviation (SD) of T2-T1 differences of 10%, an α level of 0.05 and a two-sample two-sided t test for the comparison of change scores. Based on these assumptions, a sample size of 64 would have 90% power.
Recruitment and Screening
Potential participants, a sample of convenience, were recruited through rehabilitation facilities, wheelchair seating programs, wheelchair equipment vendors and our community partners. Advertisements were used to supplement recruitment as needed. Screening at each site was conducted by a member of the research staff, based on observation, self-report and data from the health record.
Inclusion/Exclusion Criteria
Eligible participants consisted of powered wheelchair users who used or were expected to use powered wheelchairs for at least 4 hrs/week. Each participant must have had access to a power wheelchair for training, have been ≥18 years of age, have required no more than minimal assistance for communication and auditory comprehension, have been able to pay attention during the intake session, have been comfortably seated in the powered wheelchair that was used for the study and have been willing to participate (as evidenced by completion of the baseline assessment). Participants were excluded if they had a rapidly progressive disorder, significant visual impairments, unstable medical conditions that might make the use of a powered wheelchair dangerous or had emotional problems that might make participation unsafe or unpleasant.
Group Allocation
Centrally generated randomization tables68 were used to allocate participants (1:1) to Intervention or Control groups, using sealed envelopes to conceal the sequence. We stratified the sample in an attempt to ensure that the groups were comparable with respect to age (≤50 years and > 50 years) and powered wheelchair experience (≤ 3 months and > 3 months) but no limits were imposed on the proportions of the sample that were younger/older or less/more experienced.
Wheelchair Skills Training Program (WSTP)
Participants in the Intervention group received up to 5 30-minute individual WSTP 4.1 training sessions69 at a targeted frequency of 1–2 sessions per week. The training was conducted in a variety of locales, including in and around the participants’ homes or other participant-specific environments. The participants’ caregivers were encouraged to participate. Participants were encouraged to practice between formal training sessions. Training logs and questionnaires were used to document the date, duration and content of each training session (Appendix). Participants in both groups received standard care (if any).
Outcome Measures
Wheelchair Skills
The Questionnaire version of the Wheelchair Skills Test (WST-Q) and the WST have been well studied with respect to their measurement properties.33,70–77 WST-Q 4.1 provides pass/fail scores for the 32 individual skills and total percentage scores for capacity (“can do”) and performance (“does do”).51,75,78
Goal Achievement
Training goals (5–10) were developed collaboratively by the participants and trainers (Appendix).69 Goal-Attainment Scores (GAS) (%) was calculated51 (number of goals accomplished/number of goals addressed during training x 100%) from the data recorded by the trainer. The baseline GAS was 0% by definition.
Satisfaction-with-Training
At the final training session, we asked participants “Did you find any of the 5 formal training sessions stressful or uncomfortable?”, “Did you find the 5 formal training sessions useful?”, “Do you feel that you improved your ability to perform wheelchair skills as a user from these 5 formal training sessions?”, “Would you recommend these formal training sessions to others?”, “What did you like the least about these training sessions?” and “What did you like the most about these training sessions?”.
Injury Rate
At T1, T2 and T3 we asked about the number of acute wheelchair-related injuries (serious enough that medical attention was sought) in the previous 6 months for T1 and in the previous month for T2 and T3. The injury rates were normalized to the number of injuries/participant/year. We also asked about the nature of the injury.
Confidence with Wheelchair Use
At T3 we used the Wheelchair Use Confidence Scale for Power Wheelchair Users (WheelCon)WheelCon, a 59 item self-report scale (0–100).79–81
Participation
As an indicator of mobility-related participation, at T3 we used a component of the Life Space Assessment (LSA),82–84 recording scores of 0–5 corresponding to being limited to the room where one sleeps, being in other rooms of the home, being outside the home, being in the neighbourhood, being outside the neighbourhood and being outside one’s town.
Data Collection Procedure
The T1 assessment included enrollment, informed consent, screening and collection of demographic, clinical, wheelchair and wheelchair-usage data to describe the sample, and group allocation. Participants in the Intervention group received up to 5 WSTP training sessions. Both groups received standard care, if any. We assessed participants on 3 occasions (T1, T2 and T3). Questionnaires were used to collect information about potential confounding variables (e.g. weather, seasonal factors, health changes) (Appendix). French-Canadian translations were available for all materials.81,85 All data were collected between May 15, 2012 and August 30, 2014.
Data analysis
We used SAS v 9.3a statistical software for the analysis and an α level of 0.05. Our definition of a minimum clinically significant difference was 20%. Descriptive statistics were computed. The comparability of the groups was assessed qualitatively.86,87
To test the hypothesis that those in the Intervention group improved their total percentage WST-Q capacity and performance scores at T2 in comparison with the Control group, we used analysis of covariance (ANCOVA) models with T2-T1 changes in scores as the outcome variable. Analysis was adjusted for the T1 WST-Q score in each model. We dealt with withdrawals by using intention-to-treat (ITT) procedures with assumptions of no-change and mean-change in the outcome measure for those who withdrew. In addition to the ANCOVA assessments, we conducted multivariate analyses using the T2-T1 changes in WST-Q capacity and performance scores as the dependent measures and a priori independent measures (age, sex, T1 scores, group and powered wheelchair experience).
Retentions of training effects from T2 to T3 for the Intervention group in total WST-Q capacity and performance scores were analyzed using paired t-tests. To test the hypothesis that participants in the Intervention group have lower injury rates than those in the Control group at each time point, we used the Chi-square test of incidence rate difference. To test the hypothesis that participants in the Intervention group have better total WheelCon and LSA scores at T3 than those in the Control group, we used a two-sample Wilcoxon rank sums test and a cumulative logit model respectively.
RESULTS
Participants
Of the 116 enrolled participants, 5 (9%) in the Intervention group and 2 (3%) in the Control group withdrew (Figure 1).88 The proportion of withdrawals for the two groups was not different (p = 0.173). The T1 data of the withdrawals were not qualitatively different from those who completed all 3 assessments.
Figure 1.
CONSORT diagram, showing the pool of participants who were screened, enrolled, allocated to groups and completed the study.
Demographic, Clinical and Wheelchair Data
There were no clinically significant differences between the groups with respect to the demographic and clinical data (Table 1), wheelchair specifications (Table 2) or wheelchair-usage data (Table 3). Most of the participants were very experienced powered wheelchair users.
Table 1.
Demographic and clinical data at T1
Parameter | Subparameter and/or Unit | Statistic Reported | Intervention Group (n = 54) | Control Group (n = 62) |
---|---|---|---|---|
Age | Years | Mean (SD) | 53.8 (12.5) | 53.1 (14.5) |
Sex | Male | n (%) | 24 (44) | 35 (56) |
Primary language | English | n (%) | 38 (70) | 38 (61) |
French | n (%) | 16 (30) | 19 (31) | |
Other | n (%) | 0 (0) | 5 (8) | |
Living situation | House or townhouse | n (%) | 11 (20) | 15 (24) |
Apartment or condo | n (%) | 32 (59) | 44 (71) | |
Assisted living center or group home | n (%) | 4 (7) | 2 (3) | |
Long-term-care facility or nursing home | n (%) | 4 (7) | 1 (2) | |
Other | n (%) | 3 (6) | 0 (0) | |
Diagnosis accounting for wheelchair use | Multiple sclerosis | n (%) | 8 (15) | 15 (24) |
Spinal cord injury | n (%) | 9 (17) | 6 (10) | |
Stroke | n (%) | 2 (4) | 4 (6) | |
Amputation | n (%) | 3 (6) | 2 (3) | |
Arthritis | n (%) | 2 (4) | 1 (2) | |
Other | n (%) | 30 (56) | 34 (55) | |
Duration of diagnosis | Years | Mean (SD) Median (IQR) |
19.8 (16.9) 15.0 (24.0) |
21.8 (16.9) 19.0 (21.0) |
Experience driving an automobile | Yes | n (%) | 42 (78) | 42 (68) |
Years | Mean (SD) Median (IQR) |
28.7 (16.1) 30.0 (18.0) |
29.5 (17.2) 30.0 (24.5) |
Abbreviations: IQR = interquartile range, T1 = baseline assessment. SD = Standard Deviation
Table 2.
Wheelchair specifications at T1
Parameter | Subparameter and/or Units | Statistic Reported | Intervention Group (n = 54) | Control Group (n = 62) |
---|---|---|---|---|
Manufacturer | Invacare | n (%) | 18 (33) | 17 (27) |
Pride | n (%) | 10 (19) | 17 (27) | |
Quickie | n (%) | 13 (24) | 9 (15) | |
Orthofab | n (%) | 6 (11) | 10 (16) | |
Permobil | n (%) | 1 (2) | 4 (6) | |
Other | n (%) | 6 (11) | 5 (8) | |
Drive | Mid-wheel | n (%) | 26 (48) | 37 (60) |
Rear-wheel | n (%) | 24 (44) | 23 (37) | |
Front-wheel | n (%) | 4 (7) | 2 (3) | |
Control mechanism | Joystick | n (%) | 53 (98) | 62 (100) |
Sip and puff | n (%) | 1 (2) | 0 (0) | |
Head control | n (%) | 0 (0) | 0 (0) | |
Control box | Movable | n (%) | 47 (87) | 50 (81) |
Speed control | Variable other than by joystick | n (%) | 46 (85) | 52 (84) |
Modes | Number | Mean (SD) Median (IQR) |
3.6 (1.4) 4 (2) |
3.4 (1.7) 4 (4) |
Motors | Able to be disengaged | n (%) | 54 (100) | 62 (100) |
Tilt mechanism | Present | n (%) | 30 (56) | 28 (45) |
Recline mechanism | Present | n (%) | 5 (9) | 2 (3) |
Power lift | Present | n (%) | 3 (6) | 6 (10) |
Footrests | Present | n (%) | 52 (96) | 60 (97) |
Can be moved out of the way | n (%) | 51/53 (96) | 58 (94) | |
Armrests | Present | n (%) | 52 (96) | 62 (100) |
Headrest | Present | n (%) | 33 (60) | 32 (52) |
The denominators are only shown where there were missing data
Abbreviations: IQR = interquartile range, T1 = baseline assessment. SD = Standard Deviation
Table 3.
Wheelchair and wheelchair usage data at T1
Parameter | Subparameter and/or Unit | Statistic shown | Intervention Group (n = 54) | Control Group (n = 62) |
---|---|---|---|---|
Experience using any powered wheelchair | Years | Mean (SD) Median (IQR) |
6.1 (5.8) 5.0 (9.3) |
7.0 (8.9) 3.3 (9.8) |
Experience using current powered wheelchair | Years | Mean (SD) Median (IQR) |
2.1 (2.4) 1.3 (2.8) |
2.6 (5.1) 0.9 (2.9) |
Average daily use of current powered wheelchair | Hours | Mean (SD) Median (IQR) |
7.7 (5.3) 6.8(9.0) |
7.1 (5.2) 5.5(10.0) |
Location of powered wheelchair use | Home | n (%) | 37 (69) | 43 (69) |
Community | n (%) | 52 (96) | 61 (98) | |
Work/volunteer | n (%) | 27 (50) | 29 (47) | |
School | n (%) | 8 (15) | 9 (15) | |
Recreation/sports | n (%) | 39 (72) | 42 (68) | |
Other | n (%) | 18 (33) | 19 (31) | |
Assistance needed for powered wheelchair use | Standby only | n (%) | 2 (4) | 2 (3) |
Verbal only | n (%) | 0 (0) | 4 (6) | |
Physical | n (%) | 18 (33) | 24 (39) | |
None | n (%) | 34 (63) | 32 (52) | |
Formal training in powered wheelchair use | Yes | n (%) | 30 (56) | 25 (40) |
Practice included time outdoors | n (%) | 16 (30) | 18 (29) | |
Duration (hours) | Mean (SD) Median (IQR) |
3.7 (7.4) 2.0 (2.0) |
3.6 (5.9) 2.0 (2.0) |
|
Experience using manual wheelchair | Never | n (%) | 7 (13) | 9 (15) |
In past | n (%) | 16 (30) | 22 (35) | |
Currently | n (%) | 31 (57) | 31 (50) | |
Duration (years) | Mean (SD) Median (IQR) |
12.1 (14.1) 5.0 (17.0) |
11.9 (14.0) 7.0 (20.0) |
|
Average daily use (hours) | Mean (SD) Median (IQR) |
3.8 (4.8) 1.0 (7.0) |
2.9 (5.1) 0.0 (2.0) |
Abbreviations: IQR = interquartile range, T1 = baseline assessment. SD = Standard Deviation
Wheelchair Skills
The total percentage WST-Q capacity and performance scores are shown in Table 4 and are illustrated in Figures 2 and 3. From the ANCOVA model of the total percentage WST-Q capacity scores, the least-squares mean (SE) change (T2-T1) scores adjusted for the covariates in the 2 groups were 3.1% (1.1) and 2.3% (1.0) for the Intervention and Control groups (F 1, 107 = 0.31, p = 0.600). From the ANCOVA model of the total percentage WST-Q performance scores, the least-squares mean (SE) change (T2-T1) scores adjusted for the covariates in the 2 groups were 3.9% (1.5) and −1.0% (1.3) for the Intervention and Control groups (F 1, 107 = 6.01, p = 0.016). Data on individual skills are shown in the Appendix. There were no clinically significant differences (≥ 20%) in the scores between the groups and only a single such difference (for skill #5) from one time point to the next within the groups. However, there were many instances of clinically significant differences between the capacity and performance scores and the performance scores were always equal to or less than the capacity scores.
Table 4.
Total percentage WST-Q capacity and performance scores
Score | Statistic shown | Intervention Group | Control Group | ||||
---|---|---|---|---|---|---|---|
T1 (n = 54) | T2 (n = 50) | T3 (n = 49) | T1 (n = 62) | T2 (n = 60) | T3 (n = 60) | ||
Capacity (%) | Mean (SD) Median (IQR) |
86.9 (11.6) 87.1 (16.7) |
89.7 (11.1) 93.3 (10.6) |
89.3 (12.5) 93.3 (9.7) |
86.3 (12) 86.7 (13.8) |
89.0 (10.0) 92.0 (15.0) |
90.6 (9.1) 93.3 (10.2) |
Capacity change from previous time (%) | Mean (SD) Median (IQR) |
NA | 3.1 (8.4) 1.5 (6.7) |
−0.3 (8.4) 0 (6.1) |
NA | 2.2 (10.0) 0 (6.7) |
1.5 (5.4) 0 (3.3) |
Performance (%) | Mean (SD) Median (IQR) |
75.6 (14.7) 77.0 (21.0) |
79.5 (15.6) 85.3 (22.3) |
74.5 (20.3) 80 (18.8) |
74.5 (15.8) 77.4 (17.2) |
74.0 (15.4) 76.7 (18.3) |
73.5 (19.3) 76.7 (22.4) |
Performance change from previous time (%) | Mean (SD) Median (IQR) |
NA | 3.8 (9.4) 3.3 (13.1) |
−4.8 (16.4) 0 (16.1) |
NA | −0.9 (12.1) 0 (13.5) |
−0.4 (14.6) 3.3 (16.3) |
T1 is baseline, T2 is after training, and T3 is at 3-month follow-up.
Clinically significant difference (≥ 20%) between the groups.
Figure 2.
Box-and-whisker plot of the total percentage Wheelchair Skills Test Questionnaire (WST-Q) capacity scores for the two groups at baseline (T1), post-training (T2) and at follow-up 3 months post-training (T3). The mean values are represented by diamonds, the median values by horizontal lines within the boxes, the interquartile ranges (from quartile 1 to quartile 3, i.e., the 25th and 75th percentiles) by the box limits. The T bars (whiskers) represent those points greater and less than 1.5 times the IQR values. The open circles represent outliers beyond the whiskers.
Figure 3.
Box-and-whisker plot of the total percentage Wheelchair Skills Test Questionnaire (WST-Q) performance scores for the two groups at baseline (T1), post-training (T2) and at follow-up 3 months post-training (T3). The mean values are represented by diamonds, the median values by horizontal lines within the boxes, the interquartile ranges (from quartile 1 to quartile 3, i.e., the 25th and 75th percentiles) by the box limits. The T bars (whiskers) represent those points greater and less than 1.5 times the IQR values. The open circles represent outliers beyond the whiskers.
Goal Achievement
The mean (SD) GAS at the completion of training was 92.8 % (11.4) with a median (inter-quartile range [IQR]) of 100 (3). Up to 10 goals were recorded for each participant in the Intervention group (n = 51). The mean (SD) number of goals per participant was 5.8 (1.8) with a median (IQR) of 5 (16.7). The median number of training sessions for each goal ranged from 1–2. There were 297 free-text descriptions of goals. Of the 295 that could be coded, 269 (91.2%) were related to a motor skill, 4 (1.4%) were not and 22 (7.5%) were combinations. All (100%) were relevant to wheelchair users (vs their caregivers). Of the goals, 251 (85.1%) were well focussed (i.e. not combining more than 2 specific WSTP skills). Of the goals, 237 (80.3%) were related to specific WSTP skills. Of these the 10 most frequently cited were 25 citations (9.8%) for pot-holes, 24 (9.4%) for doors, 23 (9.0%) for rolling backwards, 23 (9.0%) for turning while rolling backwards, 20 (7.8%) for soft surfaces, 18 (7.0%) for ascending a 5-cm level change, 13 (5.0%) for descending a 5-cm level change, 13 (5.0%) for descending a 10° incline, 12 (4.7%) for sideways maneuvering and 12 (4.7%) for avoiding moving obstacles.
Satisfaction with Training
Of the 50 participants in the Intervention group who completed the post-training questionnaire, 39 (78%) found the training was neither stressful nor uncomfortable, 46 (92%) found it useful, 46 (92%) found they had improved their abilities to perform wheelchair skills and 50 (100%) reported that they would recommend training to others. Of the 29 comments about what they liked least about the training, 7 (24%) expressed some stress or fear (e.g. about specific skills), 6 (21%) felt the training was “too short”, 3 (10%) mentioned difficulties with transportation, 3 (10%) felt there were aspects about the setting that were not realistic enough and 3 (10%) found the training to be too easy or repetitive. Of the 50 comments about what they liked most about the training, 31 (62%) enjoyed the challenge and process of learning new skills, 10 (20%) were most positive about their trainers and 9 (18%) were positive about specific skills.
Retention
The mean WST-Q T3-T2 change scores for the Intervention group were −0.3% (95% Confidence Interval [CI] −2.7 to 2.1%) for capacity (t[48] = −0.25, p = 0.800) and −4.8% (95% CI −9.5 to −0.1%) for performance (t[48] = −2.01, p = 0.047).
Injuries
There were no injuries during study-related activities that were serious enough to seek medical attention. The number of acute injuries and the injury rates at other times are shown in Table 5. Of the 16 injuries reported in total, 8 (50%) were related to wheelchair skills – accidentally hitting the controls (2), falling during a transfer (2), scraping a hand or arm (2), falling from the wheelchair on grass (1) and striking a wall (1).
Table 5.
Injuries serious enough to seek medical attention and injury rates
Injuries | Intervention Group | Control Group | ||||
---|---|---|---|---|---|---|
T1 (n = 54) | T2 (n = 50) | T3 (n = 49) | T1 (n = 62) | T2 (n = 60) | T3 (n = 60) | |
Number in previous period1 | 3 | 0 | 6 | 6 | 1 | 0 |
Injury rate (injuries/participant/year | 0.108 | 0 | 1.464 | 0.192 | 0.204 | 0* |
T1 is baseline, T2 is after training, and T3 is at 3-month follow-up.
The previous period was 6 months for T1 and 1 month at T2 and T3.
The difference between the groups was significant (p = 0.007).
Confidence with Wheelchair Use
At T3 the mean (SD) total WheelCon score for the Intervention group (n = 49) was 81.2 (16.2) with a median (IQR) of 84.3 (20.4); for the Control group (n = 60), the mean (SD) was 84.0 (11.2) with a median (IQR) of 86.0 (17.7) (Z = −0.6701, p = 0.503).
Participation
At T3 the mean (SD) total LSA score for the Intervention group (n = 49) was 4.3 (0.8) with a median (IQR) of 4.0 (1); for the Control group (n = 60), the mean (SD) was 4.2 (0.8) with a median (IQR) of 4.0 (1) (p = 0.532).
DISCUSSION
We achieved our goal of assessing the effects of training on a moderately large and heterogeneous sample. The WST-Q capacity scores were unexpectedly high at all time points for both groups and the difference between the groups was not statistically significant. The WST-Q performance scores were also moderately high at all time points but slightly less so than for the capacity scores. The T2-T1 WST-Q performance change scores were higher to a statistically significant extent for the Intervention group than the Control group but the relative gain (median T2/T1 score x 100%) was only 10.8%, lower than the improvements that have been previously reported.53–62 That the gain was in performance rather than capacity suggests that, even though the trained participants could not do any more WST-Q skills than was the case before training, they were using the skills they had more often.
The reasons for lower performance than capacity scores are not clear from the current study, but could reflect the short time period for the performance question (“Have you performed this skill in the past month) during which the performance of some skills (e.g. disengaging the motors) might not have been necessary. Alternatively, some wheelchair users may have avoided attempting skills that they were capable of performing if they had anxiety or low confidence in performing those skills.
There are a number of possibilities for why the WST-Q data failed to demonstrate as much of a training effect as we had expected. The first possibility is that training failed to induce an effect. If so, this could have been due to the experienced participants whom we studied. Experienced powered wheelchair users may have little room for improvement. WST-Q scores can be limited by wheelchair users’ skill levels but also by their impairments. For instance, no amount of skill training would permit a person with complete tetraplegia to transfer from the ground into the wheelchair. Other possibilities are that we did not provide a sufficient dose of training (an interpretation supported by the failure of retention) or that we did not provide enough training in the participants’ own environments.
We were more successful in corroborating our hypothesis that participants in the Intervention group would achieve their training goals, with participants achieving a mean post-training GAS of 92.8% (a very substantial success rate given that the baseline GAS was 0% by definition). The satisfaction-with-training data were also very positive. The positive GAS and satisfaction data suggest that there was a training effect, supporting the ceiling effect explanation for the modest rise in WST-Q scores.
Regarding the injury rates (that were consistent with those previously published),19–25 there was a statistically significant difference between the groups at T3 but, given the small number of injuries reported, the difference was not meaningful. At T3 there were no statistically significant differences between the groups in confidence as measured by WheelCon scores, the median scores for which were moderately high. Regarding our assessment of mobility-related participation, at T3 there were no statistically significant differences between the groups in LSA scores. The LSA scores for the Intervention and Control groups were high. Sakakibara et al89 have shown strong relationships among WST-Q, WheelCon and LSA scores.
Study Limitations
There were a number of study limitations. We had a number of withdrawals but the proportion (6%) was relatively small for a longitudinal training study. There was no evidence to suggest that the participants who withdrew affected the results. The participants were generally very experienced. Although this has not created difficulties in earlier studies,55,60,62 it is likely that this contributed to ceiling effects for the WST-Q, WheelCon and LSA scores. Although involving 6 sites permitted us to meet our recruitment targets in a practical length of time, the sites varied with respect to their wheelchair-provision models of care, standard care, funding arrangements, geography, climate and language. These and other confounding variables may have contributed to the variability of the data and have had a negative impact on statistical power.
We did not use an active control intervention, reasoning that one would be unnecessary because attention would be unlikely to affect our primary outcome measure (the WST-Q). However, given that one of the two most compelling outcome measures in support of training (namely the satisfaction-with-training data) was subjective, an active control might have been useful. There were other limitations due to our study design. Although the GAS and satisfaction-with-training data were very positive, they were only collected for the Intervention group, precluding statistical comparisons of the groups. The dose and nature of training may have been suboptimal. Our injury data only included more serious injuries and we did not include injuries to others. It would have helpful to have had WheelCon and LSA scores at T1 and T2 so that the change scores could have been compared.
Future studies will be needed to address these limitations. For instance, we believe a similar study should be carried out on new powered wheelchair users with lower baseline WST-Q scores, with a goal-setting process for both groups, using a larger dose of training, performing the training in the participants’ own environments with their caregivers in attendance, using an active control group and including a more detailed satisfaction survey. Despite the study limitations and the need for further study, this project was the largest study of its kind to date, the study has answered a number of important questions about the WSTP for powered wheelchair users and it has raised other questions that will need to be addressed.
CONCLUSIONS
Powered wheelchair users who receive formal wheelchair skills training demonstrate modest transient post-training improvements in their WST-Q performance scores, they have substantial improvements on individualized goals that they set and they are positive about training.
Acknowledgments
We thank Mark Burley, BScOT, Laura Keeler, BSc, Kate Keetch, PhD, Megan MacGillivray, MSc, Krista Best, PhD, Jennifer Querques, BA, Jennifer Zelmer, BA, Sarah McCuaig, BA, Anne-Marie Belley, MSc, Émilie Lacroix, MSc, Marie-Pierre Johnson, BSc OT, Elise Busilacchi, MSc, Josh Chapman, MSc OT, Julie De Melo, OTA/PTA, Bing Ye, MSc, Fabrizio Farronato, BA, Deborah Stewart OTPTA, Megan Barry, MScOT and Amira Tawashy, MSc for their assistance.
Funding: Canadian Institutes for Health Research, CanWheel team in Wheeled Mobility for Older Adults (AMG-100925).
LIST OF ABBREVIATIONS
- CI
Confidence Interval
- GAS
Goal Attainment Score
- IQR
Inter-quartile range
- ITT
Intention to treat
- LSA
Life Space Assessment
- RCT
randomized controlled trial
- SD
Standard deviation
- SE
Standard error
- T1
First assessment (baseline)
- T2
Second assessment (post-training or equivalent time period for Control group)
- T3
Third assessment (3 months after T2)
- WheelCon
Wheelchair Use Confidence Scale
- WST-Q
Wheelchair Skills Test – Questionnaire version
- WSTP
Wheelchair Skills Training Program
Appendix
Training Logs
There were 253 training sessions. Of the 54 participants who started training, 4 (7%) had only a single session (all of these participants withdrew from the study), 1 (2%) had 4 training sessions and the remaining 49 (91%) had 5 training sessions. Of the 246 training sessions that were timed, the mean (SD) duration was 35.5 (9.0) minutes and the median (IQR) was 33 (10.0) minutes. Of the 248 training sessions for which such data were recorded, 153 (61.7%) took place in and around the rehabilitation center or hospital and 32 (12.9%) took place in and around the participants’ residences. Four participants (8%) reported having had a caregiver in attendance during at least one training session.
Relationship between WST-Q Capacity and Performance Scores
We used Spearman correlation coefficients and Sign tests to compare and contrast the T1 total percentage WST-Q capacity and performance scores for the full sample (n = 116), testing the hypotheses that the two are highly correlated but that capacity exceeds performance. The correlation coefficient between the total percentage WST-Q capacity and performance scores was 0.654 (p < 0.001) and the mean capacity score was higher by a mean (SD) difference of 11.5% (11.5) and median (IQR) of 6.7% (13.7) (p < 0.001).
Multivariate Analyses of WST-Q Data
Each independent variable was tested for interaction with study group; none were statistically significant and therefore not included in the model. The multivariate model for the total percentage WST-Q capacity score revealed a statistically significant effect due to T1 scores (F 1,104 = 33.14, p < 0.001) but not due to group (F 1,104 = 0.27, p = 0.579), age (F 1,104 = 0.06, p =0.698), sex (F 1,104 = 0.0, p = 0.895) or powered wheelchair experience (F 1,104 = 0.65, p = 0.422). The multivariate model for the total percentage WST-Q performance score revealed significant effects due to group ((F 1,104 = 6.01, p = 0.016) and T1 scores ((F 1,104 = 12.63, p = 0.001) but not for age (F 1,104 =0.04, p = 0.835), sex (F 1,104 =0.23, p = 0.633) or powered wheelchair experience (F 1,104 = 0.24, p = 0.627).
WST-Q Individual Skills
The capacity and performance data for individual skills are shown in Table A1.
Potential Confounding Variables
At T1, T2 and T3 we recorded whether there were any significant weather, seasonal factors or other events that could have affected outdoor wheelchair use during the previous month. At T2 and T3 we asked about any changes since the previous assessment in health status, any non-study changes in the wheelchair, wheelchair set-up or programming and if the participant had practiced wheelchair skills with his/her non-study therapist (if any), alone or with his/her caregiver. The T2 and T3 questionnaire data are shown in Table A2. During the T1-T2 and T2-T3 periods, 13–30% reported having had changes in their powered wheelchairs and 11–21% reported having had health changes. Regarding wheelchair skills practice other than as part of the study, 5–14% reported having practiced with a therapist and 15–18% reported having practiced with a caregiver. Practice alone was most common (43–76%), with the highest percentage of participants reporting doing so at T2 in the Intervention group. At T1 participants reported that weather, seasonal factors or other events in the past month had interfered with their use of their powered wheelchairs for 33 (61%) participants in the Intervention group and 32 (52%) in the Control group. At T2 27 (50%) of the participants and at T3 28 (57%) reported such interference.
Table A1.
WST-Q capacity and performance data for individual skills
Individual Skill | Intervention Group | Control Group | ||||
---|---|---|---|---|---|---|
T1 (n = 54) | T2 (n = 50) | T3 (n = 49) | T1 (n = 62) | T2 (n = 60) | T3 (n = 60) | |
1. Moving the joystick unit out of the way and back again | ||||||
Capacity | 47/48 (98) | 42/43 (98) | 42/43 (98) | 47/51 (92) | 46/49 (94) | 48/50 (96) |
Performance | 46/48 (96) | 41/43 (95) | 40/43 (93) | 47/51 (92) | 43/49 (88) | 43/50 (86) |
2. Turning the wheelchair power on and off | ||||||
Capacity | 54 (100) | 50 (100) | 49 (100) | 61 (98) | 60 (100) | 60 (100) |
Performance | 54 (100) | 50 (100) | 47 (96) | 61 (98) | 60 (100) | 58 (97) |
3. Changing from one controller setting and speed to another | ||||||
Capacity | 54 (100) | 50 (100) | 49 (100) | 59/61 (97) | 58/59 (98) | 57/58 (98) |
Performance | 54 (100) | 50 (100) | 47 (96) | 59/61 (97) | 58/59 (98) | 55/58 (95) |
4. Tilting the seat backwards and forwards | ||||||
Capacity | 30/30 (100) | 27/27 (100) | 29/29 (100) | 28/28 (100) | 28/28 (100) | 27/27 (100) |
Performance | 30/30 (100) | 27/27 (100) | 28/29 (97) | 28/28 (100) | 28/28 (100) | 26/27 (96) |
5. Reclining the backrest while the seat remains in its original position and then getting back upright | ||||||
Capacity | 9/9 (100) | 3/5 (60)@ | 3/4 (75) | 3/4 (75) | 3/5 (60) | 3/5 (60) |
Performance | 8/9 (89) | 2/5 (40)# | 3/4 (75) | 3/4 (75) # | 3/5 (60) | 3/5 (60) |
6. Disengaging the motors of the chair, so that someone could push it, then re-engaging them | ||||||
Capacity | 23 (43) | 25 (50) | 24 (49) | 31 (50) | 31 (52) | 32 (53) |
Performance | 12 (22)# | 8 (16)# | 12 (25)# | 11 (18)# | 8 (13)# | 9 (15)# |
7. Charging the wheelchair batteries | ||||||
Capacity | 44 (82) | 42 (84) | 39 (80) | 48 (77) | 45 (75) | 49 (82) |
Performance | 41 (76) | 39 (78) | 36 (74) | 40 (65) | 43 (72) | 43 (72) |
8. Making the wheelchair go straight forward on a smooth level surface for 10m | ||||||
Capacity | 54 (100) | 50 (100) | 49 (100) | 62 (100) | 60 (100) | 60 (100) |
Performance | 54 (100) | 50 (100) | 48 (98) | 62 (100) | 60 (100) | 58 (97) |
9. Rolling forward 10 m in 30 seconds | ||||||
Capacity | 52/52 (100) | 49 (98) | 49 (100) | 59/60 (98) | 59 (98) | 60 (100) |
Performance | 52/52 (100) | 48 (96) | 47 (96) | 59/60 (98) | 55 (92) | 58 (97) |
10. Moving the wheelchair a longer distance (~ 100 m) | ||||||
Capacity | 54 (100) | 49 (98) | 49 (100) | 61 (98) | 59 (98) | 60 (100) |
Performance | 54 (100) | 47 (94) | 42 (86) | 59 (95) | 56 (93) | 58 (97) |
11. Avoiding collisions | ||||||
Capacity | 54 (100) | 47 (94) | 47 (96) | 59 (95) | 60 (100) | 60 (100) |
Performance | 39 (72)# | 28 (56)# | 20 (41)# | 38 (61)# | 32 (53)# | 32 (53)# |
12. Moving straight backward for 5m | ||||||
Capacity | 48 (89) | 48 (96) | 45 (92) | 55 (89) | 58 (97) | 57 (95) |
Performance | 39 (72) | 41 (82) | 37 (76) | 47 (76) | 48 (80) | 39 (65) |
13. Turning forwards around a corner to the left or right | ||||||
Capacity | 54 (100) | 50 (100) | 49 (100) | 61 (98) | 60 (100) | 60 (100) |
Performance | 54 (100) | 50 (100) | 47 (96) | 61 (98) | 58/59 (98) | 57 (95) |
14. Turning backwards around a corner to the left or right | ||||||
Capacity | 46 (85) | 48 (96) | 44 (90) | 51 (82) | 56 (93) | 57 (95) |
Performance | 39 (72) | 44 (88) | 38 (78) | 48 (77) | 47 (78) | 51 (85) |
15. Turning the wheelchair around so that it is facing in the opposite direction, to the left or right | ||||||
Capacity | 49 (91) | 48 (96) | 46 (96) | 58 (94) | 57 (95) | 58 (97) |
Performance | 44 (82) | 46 (92) | 40 (82) | 54 (87) | 50 (83) | 50 (83) |
16. Maneuvering the wheelchair sideways to the left and right | ||||||
Capacity | 45 (83) | 45 (90) | 46 (96) | 55 (89) | 60 (100) | 58 (97) |
Performance | 35/53 (66) | 41 (82) | 39 (80) | 48 (77) | 49 (82) | 48 (80) |
17. Opening a door from either direction, passing through it and closing it | ||||||
Capacity | 44 (82) | 44 (88) | 40 (82) | 44 (71) | 46 (77) | 47 (78) |
Performance | 42 (78) | 42 (84) | 36 (74) | 38 (61) | 40 (67) | 41 (68) |
18. Reaching overhead 1.5 m | ||||||
Capacity | 50 (93) | 46 (92) | 45 (92) | 56 (90) | 56 (93) | 56 (93) |
Performance | 48 (89) | 42 (84) | 39 (80) | 51 (82) | 47 (78) | 48 (80) |
19. Picking an object off the floor | ||||||
Capacity | 41 (76) | 38 (76) | 42 (86) | 42 (68) | 43 (72) | 44 (73) |
Performance | 37 (69) | 38 (76) | 39 (80) | 36 (58) | 38 (63) | 38 (63) |
20. Relieving the weight from the buttocks | ||||||
Capacity | 51 (94) | 50 (100) | 47 (96) | 59 (95) | 57 (95) | 57/59 (97) |
Performance | 48 (89) | 49 (98) | 46 (96) | 53 (86) | 53 (88) | 52/59 (88) |
21. Transferring from the wheelchair to another level surface and back | ||||||
Capacity | 43 (80) | 41 (82) | 37 (76) | 49 (79) | 46 (77) | 49 (82) |
Performance | 42 (78) | 37 (74) | 35 (71) | 48 (77) | 45 (75) | 45 (75) |
22. Moving the wheelchair up a 5° incline | ||||||
Capacity | 52 (96) | 48 (96) | 46 (96) | 60 (97) | 60 (100) | 59 (98) |
Performance | 49 (91) | 45 (90) | 41 (84) | 53 (86) | 53 (88) | 54 (90) |
23. Moving the wheelchair down a 5° incline | ||||||
Capacity | 52 (96) | 49 (98) | 46 (96) | 61 (98) | 60 (100) | 60 (100) |
Performance | 49 (91) | 46 (92) | 41 (84) | 55 (89) | 54 (90) | 54 (90) |
24. Moving the wheelchair up a 10° incline | ||||||
Capacity | 44 (82) | 44 (88) | 42 (86) | 56 (90) | 54 (90) | 56 (93) |
Performance | 34 (63) | 34 (68)# | 29 (59)# | 44 (71) | 41 (68)# | 42 (70)# |
25. Moving the wheelchair down a 10° incline | ||||||
Capacity | 45 (83) | 43 (86) | 42 (86) | 55 (89) | 54 (90) | 56 (93) |
Performance | 36 (67) | 38 (76) | 30 (61)# | 44 (71) | 40 (67)# | 43 (72)# |
26. Moving the wheelchair across a 5° side-slope in both directions | ||||||
Capacity | 48 (89) | 46 (92) | 45 (92) | 56 (90) | 55 (92) | 55 (92) |
Performance | 35 (65)# | 38 (76) | 31 (63)# | 45 (73) | 38 (63)# | 40 (67)# |
27. Moving the wheelchair across a soft surface | ||||||
Capacity | 49 (91) | 50 (100) | 47 (96) | 59 (95) | 56 (93) | 57 (95) |
Performance | 37 (69)# | 40 (80)# | 36 (74)# | 47 (76) | 41 (68)# | 36 (60)# |
28. Moving the wheelchair over a pothole or gap | ||||||
Capacity | 36 (67) | 43 (86) | 43 (88) | 44 (71) | 45 (75) | 48 (80) |
Performance | 19 (35)# | 32 (64)# | 26 (53)# | 31 (50)# | 28 (47)# | 27/59 (46)# |
29. Moving the wheelchair over an obstacle like a door threshold | ||||||
Capacity | 48 (89) | 47 (94) | 46 (96) | 53 (86) | 57 (95) | 57 (95) |
Performance | 40 (74) | 39 (78) | 38 (78) | 44 (71) | 49 (82) | 42 (70)# |
30. Moving the wheelchair up a 5 cm level change | ||||||
Capacity | 44 (82) | 41 (82) | 44 (90) | 47 (76) | 49 (82) | 53 (88) |
Performance | 31 (57)# | 34 (68) | 33 (67)# | 35 (57) | 36 (60)# | 37 (62)# |
31. Moving the wheelchair down a 5 cm level change | ||||||
Capacity | 47 (87) | 44 (88) | 45 (92) | 53 (86) | 53 (88) | 57 (95) |
Performance | 35 (65)# | 36 (72) | 32 (65)# | 40 (65)# | 36 (60)# | 41 (68)# |
32. Getting from the ground into the wheelchair | ||||||
Capacity | 22 (41) | 21 (42) | 21 (43) | 28 (45) | 29 (48) | 29 (48) |
Performance | 11 (20)# | 10 (20)# | 12 (25) | 10 (16)# | 9 (15)# | 9 (15)# |
N (%) values are shown. The denominators are only shown where there were No Part scores or missing data (a total of 9 missing data elements from a total of 7 cells).
The skill descriptions are paraphrased.
Abbreviations: T1 is baseline, T2 is after training, and T3 is at 3-month follow-up.
Clinically significant difference (≥ 20%) between capacity and performance.
Clinically significant difference (≥ 20%) between the indicated value and that at the previous time point in the same group.
Table A2.
Questionnaire data from T2 and T3
Parameter | Response | Intervention Group | Control Group | ||
---|---|---|---|---|---|
T2 (n = 50) | T3 (n = 49) | T2 (n = 60) | T3 (n = 60) | ||
PWC changes in previous period? | Yes | 11 (22) | 15 (31) | 8 (13) | 18 (30) |
Health changes in previous period? | Yes | 9/49 (20) | 11 (21) | 11 (18) | 7 (11) |
Practice skills with therapist? | Yes | 7 (14) | 4 (8) | 7 (12) | 3 (5) |
Practice skills alone? | Yes | 38 (76)* | 31 (63) | 26 (43) | 26 (43) |
Practice skills with caregiver? | Yes | 9 (18) | 8 (16) | 9 (15) | 10 (16) |
Values shown are n (%). The denominator is only shown where there were missing data.
Abbreviations: T2 is after training, and T3 is at 3-month follow-up.
Clinically significant difference (≥ 20%) between the groups.
Footnotes
Statistical software. SAS v 9.3. SAS Institute Inc., Cary, NC, USA.
Presented in part at: Annual Meeting of the Rehabilitation Engineering and Assistive Technology Society of North America (RESNA), June 12–15, 2015 (under review).
Device status: The manuscript submitted does not contain information about medical devices.
Authors’ financial disclosure: We certify that no party having a direct interest in the results of the research supporting this article has or will confer a benefit on us or any organization with which we are associated and we certify that all financial and material support for this research and work are clearly identified on the title page of the manuscript.
Reprints: Not available from the authors.
Clinical Trial Registration Number: NCT 01432418.
Contributor Information
R. Lee Kirby, Department of Medicine (Division of Physical Medicine and Rehabilitation), Dalhousie University, Halifax, NS.
William C. Miller, Department of Occupational Science and Occupational Therapy, Vancouver, BC.
Francois Routhier, Department of Rehabilitation, Université Laval; Centre for interdisciplinary research in rehabilitation and social integration, Institut de réadaptation en déficience physique de Québec, Québec City, PQ.
Louise Demers, School of Rehabilitation, Université de Montréal, Montréal; Research Center, Institut universitaire de gériatrie de Montréal, Montréal, PQ.
Alex Mihailidis, Department of Occupational Science & Occupational Therapy, University of Toronto, Toronto, ON.
Jan Miller Polgar, School of Occupational Therapy, Western University, London, ON.
Paula W. Rushton, School of Rehabilitation, Université de Montréal, Montréal, CHU Sainte-Justine Research Center, Montréal, Québec.
Laura Titus, School of Occupational Therapy, Western University, London, ON.
Cher Smith, Department of Occupational Therapy, Capital District Health Authority, Halifax, NS.
Mike McAllister, Faculty of Computer Science, Dalhousie University, Halifax, NS.
Chris Theriault, Research Methods Unit, Dalhousie University, Halifax, NS.
Kara Thompson, Research Methods Unit, Dalhousie University, Halifax, NS.
Bonita Sawatzky, Department of Orthopaedics, UBC, Vancouver, BC.
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