Abstract
Study design
Cross-sectional study.
Objectives
To evaluate the reliability and calculate the measurement error of the Trunk Assessment Scale for Spinal Cord Injury (TASS) and trunk control test (TCT-SCI) in individuals with spinal cord injury (SCI).
Setting
Rehabilitation Hospital in Japan.
Methods
The evaluations of TASS and TCT-SCI for individuals with SCI were video-recorded. The inter-rater reliability (two physiotherapists) was confirmed using the videos. ICC (2,1), kappa coefficient (κ) were used to determine the reliability of the total score and each item. Each minimal detectable change (MDC) was calculated.
Results
The TASS and TCT-SCI total scores showed excellent inter-rater reliability (ICC = 0.99, and 1.00). The kappa coefficients of TASS were acceptable to excellent for 8 items (κ = 0.76–1.00), below acceptable for 1 item (κ = 0.62). The kappa coefficients of TCT-SCI were excellent for 12 items (κ = 0.83–1.00), below acceptable for 1 item (κ = 0.68). The inter-rater MDC of the TASS total score was 4.07 points, and the MDC of the TCT-SCI total score was 1.13 points. The intra-rater MDC of the TASS total score was 3.86 points.
Conclusion
Both TASS and TCT-SCI showed high reliability. Differences of less than four points in TASS and one point in TCT-SCI were interpreted as measurement errors between the two raters.
Subject terms: Medical research, Signs and symptoms
Introduction
The International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI), developed by the American Spinal Injury Association (ASIA), are widely used for functional assessment of spinal cord injury (SCI) [1, 2]. The ISNCSCI express the degree of disability using the ASIA Impairment Scale (AIS) and the neurological level of injury. The motor functions of the upper and lower limbs are represented by their respective motor scores, but motor function tests to assess trunk function are not included [3].
Interventions on trunk function are commonly used in the rehabilitation of individuals with SCI [4]. It has also been reported that trunk function in individuals with SCI is related to sitting balance, walking ability, and activities of daily living [5–7]. Several tools are available for assessing sitting balance and trunk function in individuals with SCI [8–13]. Among them, the Trunk Control Test for individuals with SCI (TCT-SCI), developed by Quinzaños et al., has been confirmed its reliability and validity in Mexico [6, 7]. This scale was thus reported as the “Gold Standard” in this field [14]. However, the TCT-SCI was composed of many postural maintenance tasks using the upper limbs or reaching tasks, we were concerned about the difficulty of use for individuals with tetraplegia. The measurement properties of TCT-SCI have not yet been examined in regions with aging population and increasing number of incomplete tetraplegia [15–20].
We developed a new scale, the trunk assessment scale for SCI (TASS) without the influence of upper limb dysfunction and to assess trunk function in all individuals with SCI, and reported its inter-rater reliability and internal consistency in live sessions [21]. However, most participants of the previous study were individuals with incomplete SCI (70% had AIS: D), and we did not confirm whether the TASS could be used for all individuals with SCI. We also pointed out the possibility that the fact that the number of assessment trials differed for each item may have affected the degree of agreement for each item. Therefore, it is necessary to confirm the reliability of the TASS after excluding the effects of changes in participant performance.
The first objective of present study was to confirm the inter- and intra-rater reliability of the TASS by video sessions and to calculate the measurement error in order to overcome the issues pointed out in the previous studies. The second objective was to confirm the reliability of the TCT-SCI and to calculate the measurement error in regions with a large number of individuals with incomplete tetraplegia.
Methods
Study design and setting
The present study was conducted at the authors’ institution. The results of the evaluation were obtained from December 2019 to March 2021. This article was reported based on the recommendations of the Guidelines for Reporting Reliability and Agreement Studies [22] and the COnsensus-based Standards for the selection of health Measurement INstruments [23, 24].
The study protocol was approved by the Ethics Committee of the Ibaraki Prefectural University of Health Sciences (approval no. 902). Written informed consent was obtained from all participants before enrollment in the study.
Participants
The participants were adult individuals (age ≥20 years) with SCI (both traumatic and non traumatic) with an AIS of A to D. Individuals were excluded from the selection process if they had difficulty in understanding the instructions for conducting the study, who were unable to participate in the rehabilitation program, and had difficulty performing these evaluations safely due to a history of cardiovascular, cardiac, or orthopedic surgery. They were also excluded if they were judged by the staff to be unsuitable for participation in the study.
Sample size
The sample size requirement by COSMIN is considered to be the rule of thumb [25]. The sample size required for this study was thus estimated using Fisher’s z–r transformation [26, 27]. Using the intra-class correlation coefficients (ICCs) reported in a previous study [21], a sample of 6 was required to establish inter-rater reliability (n = 2 raters). Also, the sample size required to establish intra-rater reliability was confirmed a posteriori from a preliminary assessment conducted on six participants. Based on the results of the preliminary assessment (ICC of 0.97, 95% confidence interval [CI], 0.85–1.00), it was confirmed that a sample of 5 was required to establish intra-rater reliability (n = 2 sessions). Therefore, the sample size of this study was set at a minimum of 6 and to cover all types of paralysis (tetraplegia/paraplegia, complete/incomplete) among individuals with SCI. To avoid bias in assessing the severity of paralysis, which was an issue identified in previous studies, participants were recruited so that there would be more cases adjudged to have AIS of A to C than AIS of D and met the aforementioned sample size requirements.
Outcome measure
The TASS is a 9-item scale for assessing trunk function in individuals with SCI (Table 1) [21]. The task content and scoring were determined via a questionnaire (using the Delphi method) administered to Japanese experts (physical therapists for SCI). Each item was assigned a score of 0 to 2, 0 to 4, and 0 to 6, for a total score of 44, with higher scores indicating better trunk function. The participants were allowed to wear shoes, but not lower limb orthoses. Participants instructed by their physicians to wear a cervical or trunk brace during rehabilitation were assessed while wearing the respective brace. The participants sat on a flat seat without a backrest (height, 40–45 cm). The hip and knee joints were flexed at 90°, the ankle joint was dorsiflexed at 0°, and the sole was fully grounded. The use of the upper extremities as support was prohibited. The task contents were as follows: item 1, sitting position maintenance; item 2, ischial bone elevation; item 3, trunk rotation; item 4, trunk frontal flexion; item 5, trunk lateral flexion; item 6, trunk backward tilt; and item 7, reaching task. The assessment took less than 5 min.
Table 1.
Trunk Assessment Scale for Spinal Cord Injury (TASS).
Initial position: | |
(1) Sitting on flat seat without backrest (height 40–45 cm) | |
(2) 90° hip/knee joint flexion, 0° ankle joint dorsiflexion, all soles grounded | |
(3) No lower limb orthosis | |
(4) Support with upper limbs is prohibited (upper limb position is optional) | |
1. Maintain initial position during 10 s ※measured with a stopwatch | |
maintain position for more than 10 s | 2 |
maintain position for more than 5 s and less than 10 s | 1 |
5 s or more cannot be maintained | 0 |
2. Elevation of the ischial bone ※The therapist will insert his or her hand to check | |
able to elevate the ischial bone on one side and return to the initial position (bilateral) | 4 |
able to elevate the ischial bone on one side and return to the initial position (only unilateral) | 2 |
unable to elevate the ischial bone/ able to elevate the ischial bone, but cannot return to initial position | 0 |
3. Rotate the trunk 30 deg (measured by the line connecting both acromion) ※measured with an angle meter | |
more than 30 deg of rotation | 4 |
less than 30 deg of rotation | 2 |
unable to rotation | 0 |
4. Touch the ankle joint and return to the initial position | |
able to touch the ankle joint and return to the initial position | 4 |
able to touch the ankle joint, but cannot return to initial position | 2 |
unable to touch the ankle joint | 0 |
5. Touch the bed with one elbow (stand still for 3 s) and return to the initial position | |
able to touch the bed with one elbow and return to the initial position (bilateral) | 6 |
able to touch the bed with one elbow and return to the initial position (unilateral) | 3 |
unable to touch the bed with elbow/ able to touch the bed, but cannot return to initial position | 0 |
6. Touch the bed with PSIS and return to the initial position | |
able to touch the bed with PSIS and return to the initial position | 6 |
able to lean trunk backward, but cannot touch the bed with PSIS | 3 |
enable to lean trunk backward/ fall backward | 0 |
7. SRT/STT ※measured with a ruler or a tape measure | |
SRT: measure the reaching distance in three directions (FR, RR, LR) using the fingertip as an index | |
STT: measure the reaching distance in three directions (FR, RR, LR) using the acromion as an index | |
[FR] | |
more than 30 cm | 6 |
more than 20 cm and less than 30 cm | 4 |
more than 10 cm and less than 20 cm | 2 |
less than 10 cm | 0 |
[RR] | |
more than 30 cm | 6 |
more than 20 cm and less than 30 cm | 4 |
more than 10 cm and less than 20 cm | 2 |
less than 10 cm | 0 |
[LR] | |
more than 30 cm | 6 |
more than 20 cm and less than 30 cm | 4 |
more than 10 cm and less than 20 cm | 2 |
less than 10 cm | 0 |
/44 |
Item 7: Basically, SRT is used, but STT is used for patients who have difficulty in raising the upper limbs.
PSIS posterior superior illiac spine, SRT seated reach test, STT shoulder thrust test, FR front reaching, RR right reaching, LR left reaching.
The TCT-SCI is a 13-item trunk function scale [6]. The maximum total score is 24 points, with higher scores indicating better trunk function. The participants were initially assessed in the sitting position, with feet on the support surface, knee joints flexed at 90°, without trunk support, and hands resting on the thighs.
The contents are as follows: (1) The three items of static equilibrium involve maintaining the initial position (item 1) and maintaining a sitting position with one lower limb crossed over the other (items 2 and 3). (2) The four items of dynamic equilibrium involve touching the feet (item 4), lying down in the supine position from the initial position and returning to the initial position (item 5), and rolling onto the right and left sides (items 6 and 7). (3) The six items of dynamic equilibrium involve carrying out activities with the upper limb are reaching tasks performed from the initial position with the unilateral upper limb in 90° shoulder flexion, elbow in full extension, forearm in pronation, hand joint in neutral plantar dorsiflexion, and fingers in extension (items 8–12, 3 directions on each side).
Procedure
After recruitment, case information, such as the name of the diagnosis and the results of the ISNCISC assessment, was collected from the participants’ medical files. The two raters involved in the assessment were physical therapists with at least 4 years of experience in SCI rehabilitation (rater A: 8 years, rater B: 4 years). The two raters confirmed the TASS manual and TCT-SCI before the evaluation.
Inter-rater reliability
Originally, the TASS and TCT-SCI are scales that directly assess individuals with SCI. However, in the present study, we decided to conduct video sessions to exclude the effects of changes in participants’ performance. Evaluations of TASS and TCT-SCI performed by rater A were recorded using a video camera (Sony, HDR-CX470, Japan). The TASS items 1, 4, 5, and 7, RR and LR, were photographed from the anterior side, items 2 from the posterior side, item 3 from the superior side, item 6 from the lateral side, and item 7, FR, from the lateral side. In the TCT-SCI, static items 1–3, and dynamic items 1, 2 were recorded from the anterior side, and dynamic items 3, 4 were recorded from the caudal side. Dynamic items with upper limb activity were recorded from the medial side so that the contact with the target could be seen. Raters A and B looked at the video to score each participant’s performance. Rater A watched the videos at least 2 weeks after the sessions to be blinded to previous ratings. The two raters scored the videos independently.
Intra-rater reliability
Rater B watched the videos on TASS and TCT-SCI twice (sessions 1 and 2) with an interval of more than 2 weeks and evaluated all participants. The raters were blinded to their previous ratings.
Statistical analysis
Descriptive statistics were used to describe the clinical characteristics of the sample.
Scores from the video assessments of raters A and B were used to confirm inter-rater reliability, and scores from the video assessments of rater A (sessions 1 and 2) were used to confirm intra-rater reliability. ICCs with their respective 95% CIs were calculated for the total scores. Cohen’s kappa coefficient was calculated to confirm the agreement for each item. Coefficients greater than 0.70 for both items are recommended as the minimum standard for reliability [23] and values greater than 0.80 were considered excellent [28]. The standard error of measurement (SEM) was calculated with the previously calculated ICC using the formula:
where SD is the standard deviation of the scores obtained on the TASS and TCT-SCI from each session, and ICC is the corresponding reliability coefficient. The minimal detectable change (MDC) was calculated with each SEM using the formula:
where 1.96 is the z-value chosen. MDC95 represents the smallest score change at a 95% CI, which can be considered a true change beyond the measurement error [27]. SEM% and MDC% were defined as the percentages of SEM and MDC95 to the mean value of each evaluation. An MDC% of <30 is considered acceptable, while an MDC% of <10 is considered excellent [29].
Finally, the Bland–Altman plots of difference against mean with limits of agreement (LoA) were used as a visual demonstration of the agreement between sessions and pairs of raters [30, 31]. If 0 was included in the 95% CI of the mean of the differences, it was adjudged that there was a fixed error. Regression analysis was performed for the Bland–Altman plot, and if the regression coefficient was significant, it was adjudged to have a proportional error. The LoA was calculated using the following formula [32]:
where SD is the standard deviation of the difference. The statistical analyses were performed using R version 3.6.3 (R Development Core Team, Vienna, Austria) [33]. Analysis items with p < 0.05 were considered statistically significant.
Results
Characteristics of participants
Nine participants with SCI completed the reliability study. The participants’ demographic characteristics at the time of assessment are presented in Table 2. Five participants were more than 65 years old. Five participants were adjudged to have AIS of A or C and four participants were adjudged to have AIS of D.
Table 2.
Participants’ characteristics at the time of reliability assessments.
No. | Ages [years] | Sex | Traumatic/non traumatic | Diagnosis | NLI | AIS | Motor score | TASSb | TCT-SCIb | Days from onset to assessment | |
---|---|---|---|---|---|---|---|---|---|---|---|
UEMS | LEMS | ||||||||||
1 | 61 | M | Traumatic | Cervical cord injury | C4 | A | 27 | 0 | 0 | 0 | 6818 |
2 | 65 | M | Traumatic | Cervical cord injury | C3 | C | 24 | 30 | 23 | 2 | 246 |
3 | 84 | M | Non traumatic | Cervical spondylotic myelopathy | C4 | D | 39 | 43 | 41 | 18 | 395 |
4 | 67 | M | Traumatic | Cervical cord injury | C5 | D | 47 | 50 | 40 | 18 | 2145 |
5 | 42 | M | Traumatic | Thoracic cord injury | T6 | A | 50 | 0 | 8 | 17 | 3490 |
6 | 68 | M | Traumatic | Thoracic cord injury | T12 | A | 50 | 0 | 0 | 14 | 18,282 |
7 | 64 | M | Non traumatic | Thoracic cord injury | T12 | C | 50 | 27 | 27 | 23 | 71 |
8 | 69 | M | Traumatic | Thoracic cord injury | C7a | D | 50 | 38 | 23 | 18 | 105 |
9 | 56 | F | Traumatic | Thoracic cord injury | T10 | D | 50 | 42 | 39 | 24 | 91 |
Mean ± SD | 64.0 ± 11.2 | 43.0 ± 10.6 | 25.6 ± 20.3 | 22.3 ± 16.5 | 14.9 ± 8.50 | 3515.9 ± 5984.2 | |||||
Median (IQR) | – | 50.0 (39.0, 50.0) | 30.0 (0.00, 42.0) | 23.0 (8.00, 39.0) | 28.0 (14.0, 18.0) | 834.0 (140.0, 3154.0) |
NLI neurological level of injury, AIS ASIA impairment scale, UEMS upper extremity motor score, LEMS lower extremity motor score.
aParticipant #8 was diagnosed with thoracic spinal cord injury, but due to the cervical spinal canal stenosis, he had hypoalgesia in the C8 region, and his NLI was determined to be C7.
bTASS and TCT-SCI scores are the first assessment scores by rater A.
Inter-rater reliability
The inter-rater reliability was excellent for both the total scale score (TASS: ICC = 0.99, TCT-SCI: ICC = 1.00) (Table 3). The kappa coefficients of TASS were excellent for 7 items (κ = 0.85–1.00), acceptable for 1 item (κ = 0.76), and below acceptable for 1 item (κ = 0.62). The kappa coefficients of TCT-SCI were excellent for 12 items (κ = 0.83–1.00), and below acceptable for 1 item (κ = 0.68) (Table 4). On the Bland–Altman plot for TASS, the 95% CI of the mean difference was −2.35 to 0.80, the 95% LoA was −4.79 to 3.24, and the slope of the regression line was −0.26 (p = 0.48). On the Bland–Altman plot for TCT-SCI, the 95% CI of the mean difference was −0.05 to 0.72, the 95% LoA was −0.65 to 1.31, and the slope of the regression line was −0.28 (p = 0.47) (Fig. 1 and Table 3).
Table 3.
Reliability and minimal detectable change of the TASS and TCT-SCI total score.
TASS | TCT-SCI | |||||||
---|---|---|---|---|---|---|---|---|
Inter-rater | Intra-rater | Inter-rater | Intra-rater | |||||
ICC (95% CI) | 0.99 | (0.97, 1.00) | 0.99 | (0.97, 1.00) | 1.00 | (0.99, 1.00) | 1.00 | (–) |
Systematic error | ||||||||
95% CI for the mean (lower, upper) | (−2.35, 0.80) | (−1.92, 1.25) | (−0.05, 0.72) | – | ||||
95% LoA (lower, upper) | (−4.79, 3.24) | (−4.37, 3.71) | (−0.65, 1.31) | – | ||||
Regression | −0.26 | (p = 0.48) | 0.40 | (p = 0.29) | −0.28 | (p = 0.47) | – | |
Measurement error | ||||||||
SEM (SEM%) | 1.47 | (6.47) | 1.39 | (5.98) | 0.41 | (2.78) | – | |
MDC95 (MDC%) | 4.07 | (17.9) | 3.86 | (16.6) | 1.13 | (7.68) | – |
Inter-rater reliability was determined using the ICC(2,1) and Intra-rater reliability was determined using the ICC(1,1).
CI confidence interval, LoA limits of agreement, SEM standard error of measurement, MDC minimal detectable change.
Table 4.
Kappa coefficients and agreement ratio of each scale (TASS, TCT-SCI).
Inter-rater | Intra-rater | |||
---|---|---|---|---|
Kappa | Agreement (%) | Kappa | Agreement (%) | |
TASS | ||||
item 1 | 1.00 | 100.0 | 1.00 | 100.0 |
item 2 | 1.00 | 100.0 | 1.00 | 100.0 |
item 3 | 0.89 | 88.9 | 0.89 | 88.9 |
item 4 | 1.00 | 100.0 | 1.00 | 100.0 |
item 5 | 1.00 | 100.0 | 0.89 | 88.9 |
item 6 | 0.62 | 77.8 | 0.75 | 77.8 |
item 7-FR | 1.00 | 100.0 | 0.88 | 88.9 |
item 7-RR | 0.76 | 77.8 | 0.88 | 88.9 |
item 7-LR | 0.85 | 88.9 | 0.89 | 88.9 |
TCT-SCI | ||||
item 1 | 1.00 | 100.0 | 1.00 | 100.0 |
item 2 | 0.83 | 88.9 | 1.00 | 100.0 |
item 3 | 0.68 | 77.8 | 1.00 | 100.0 |
item 4 | 1.00 | 100.0 | 1.00 | 100.0 |
item 5 | 1.00 | 100.0 | 1.00 | 100.0 |
item 6 | 1.00 | 100.0 | 1.00 | 100.0 |
item 7 | 1.00 | 100.0 | 1.00 | 100.0 |
item 8 | 1.00 | 100.0 | 1.00 | 100.0 |
item 9 | 1.00 | 100.0 | 1.00 | 100.0 |
item 10 | 1.00 | 100.0 | 1.00 | 100.0 |
item 11 | 1.00 | 100.0 | 1.00 | 100.0 |
item 12 | 1.00 | 100.0 | 1.00 | 100.0 |
item 13 | 1.00 | 100.0 | 1.00 | 100.0 |
Fig. 1. Bland–Altman plots regarding the TASS and the TCT-SCI.
Inter-rater agreement for the TASS (a), the TCT-SCI (b), and intra-rater agreement for the TASS (c). These Bland–Altman plots were constructed to show the degree of inter and intra-rater agreement between the two scales (TASS and TCT-SCI). The intra-rater agreement of the TCT-SCI was perfect, so the Bland–Altman plot was not constructed. These results indicate that no systematic error was included in the TASS and the TCT-SCI scores.
The SEMs of the total scores obtained from the inter-rater reliability of the TASS and TCT-SCI were 1.47 and 0.41 points, and the MDC95 was 4.07 and 1.13 points, respectively (Table 3).
Intra-rater reliability
The intra-rater reliability was excellent for both the total scale score (TASS: ICC = 0.99, TCT-SCI: ICC = 1.00) (Table 3). The kappa coefficients of TASS were excellent for 8 items (κ = 0.88–1.00) and acceptable for 1 item (κ = 0.75), and the kappa coefficients of TCT-SCI were excellent for 13 items (κ = 1.00) (Table 4). On the Bland–Altman plot for TASS, the 95% CI of the mean difference was −1.92 to 1.25, the 95% LoA was −4.37 to 3.71, and the slope of the regression line was 0.40 (p = 0.29) (Fig. 1 and Table 3).
The SEM of the total scores derived from the intra-rater reliability of TASS was 1.39, and the MDC95 was 3.86 points.
Discussion
In the present study, the reliability of the TASS and TCT-SCI was confirmed in a video session of individuals with SCI (AIS: A to D). The results suggested that both scales had high reliability and could be used for older individuals with SCI; however, only one item of each scale had a low inter-rater agreement. The MDC95 values for both scales were 4.07 and 1.13, respectively. To the best of our knowledge, this is the first study to report the scale characteristics of TCT-SCI in regions with a large number of individuals with poor upper limb function and the measurement errors of both scales (TASS and TCT-SCI).
The present study showed that the inter-rater and intra-rater reliabilities of both scales (TASS and TCT-SCI) were excellent and exceeded the recommended value for clinical use (ICC > 0.90) [27]. In addition, although the proportion of severity of paralysis among participants differed from that reported in the previous study, the inter-rater ICC of the TASS in the present study (0.99) was comparable to that of previous studies (0.98) [21]. The high level of agreement found in this study may be due to the fact that the task content was designed by Japanese experts of SCI rehabilitation (physical therapists for SCI) in an easy-to-understand manner. These results suggest that this test can be easily used by physical therapists in any region. None of the scales showed systematic errors, as shown by the Bland–Altman analysis, and we are able to refer to measurement errors. Since the MDC95 of TASS was 4.07, and the intra-rater MDC95 was 3.86, the change of five points (difference beyond two levels) in the total TASS points was considered to indicate a change beyond the measurement error. On the other hand, since the inter-rater MDC95 of the TCT-SCI was 1.13, a change of two points (roughly two levels of difference) in the total TCT-SCI score was considered to indicate a change beyond the measurement error. Because an MDC% of less than 30 was considered acceptable, and an MDC% of less than 10 was considered excellent [29], both inter-rater MDCs were acceptable (MDC%: TASS = 17.9, TCT-SCI = 7.68) [29]. Since a roughly 2 level difference was the measurement error for both scales, the fact that the MDC of TCT-SCI was smaller than that of TASS may be explained by the difference in the scoring for each item.
The agreement for item 6 of the TASS was below the acceptable level (κ = 0.62), and this result was similar to that reported in a previous study (κ = 0.55) [21]. In a previous study, the authors pointed out that the reason for the lack of agreement on this item was the possibility that the number of assessments per item in the live session increased and the participants’ performance changed. To confirm the truth of this consideration, the video sessions in this study were conducted in such a way that the participants’ performance did not change; however, there was poor inter-rater agreement on the same items. Therefore, this lack of agreement is most likely due to the content of the task, not the change in participants’ performance. It is also possible that the difficulty in confirming the contact with the bed and the Posterior Superior Illiac Spine in the video affected the results, but it is necessary to discuss whether the content of this item should be revised in the future. In addition, the TCT-SCI also had only one item with the agreement below the acceptable level. However, since the intra-rater reliabilities of both scales are acceptable even with the current content, if the same therapist repeatedly assesses one individual with SCI, these reliabilities could be assured.
The present study was very meaningful because it evaluated a highly reliable trunk function assessment scale that can be used for all individuals with SCI. The main limitation of the present study was that only individuals with SCI who were admitted to a single institution were included and that our sample size was smaller than that required by COSMIN. Therefore, in the future, it would be desirable to evaluate individuals with SCI at another center in Japan and overseas. In addition, the validity and responsiveness of the TASS have not yet been confirmed, we thus would like to confirm its usefulness after estimating the required sample size.
Conclusions
The results of the present study indicate that the TASS and TCT-SCI are highly reliable measures of trunk function in regions with a large number of individuals with poor upper limb function. The observed MDC95 indicates inter-rater and intra-rater measurement errors. However, since both scales had one item with the insufficient inter-rater agreement, it should be interpreted with caution when the raters change.
Acknowledgements
We would like to thank Editage (www.editage.com) for English language editing.
Author contributions
All authors were involved in conceptualizing the research. HS and SK collect the data. HS performed the data analysis with interpretation provided by all authors. HS wrote the initial draft, all authors were involved in editing, producing, and approving the final manuscript. MM got funding.
Data availability
The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.
Competing interests
The authors declare no competing interests.
Ethical approval
We certify that all applicable institutional and governmental regulations concerning the ethical use of human volunteers were followed during the course of this research.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.ASIA and ISCoS International Standards Committee. The 2019 revision of the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI)-What’s new? Spinal Cord. 2019;57:815–7. doi: 10.1038/s41393-019-0350-9. [DOI] [PubMed] [Google Scholar]
- 2.Kirshblum S, Snider B, Rupp R, Read MS. International Standards Committee of ASIA and ISCoS. Updates of the International Standards for Neurologic Classification of Spinal Cord Injury: 2015 and 2019. Phys Med Rehabil Clin N Am. 2020;31:319–30. doi: 10.1016/j.pmr.2020.03.005. [DOI] [PubMed] [Google Scholar]
- 3.Roberts TT, Leonard GR, Cepela DJ. Classifications in brief: American Spinal Injury Association (ASIA) impairment scale. Clin Orthop Relat Res. 2017;475:1499–504. doi: 10.1007/s11999-016-5133-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Jones ML, Harness E, Denison P, Tefertiller C, Evans N, Larson CA, et al. Activity-based therapies in spinal cord injury: clinical focus and empirical evidence in three independent programs. Top Spinal Cord Inj Rehabil. 2012;18:34–42. doi: 10.1310/sci1801-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Milosevic M, Yokoyama H, Grangeon M, Masani K, Popovic MR, Nakazawa K, et al. Muscle synergies reveal impaired trunk muscle coordination strategies in individuals with thoracic spinal cord injury. J Electromyogr Kinesiol. 2017;36:40–8. doi: 10.1016/j.jelekin.2017.06.007. [DOI] [PubMed] [Google Scholar]
- 6.Quinzanos J, Villa AR, Flores AA, Perez R. Proposal and validation of a clinical trunk control test in individuals with spinal cord injury. Spinal Cord. 2014;52:449–54. doi: 10.1038/sc.2014.34. [DOI] [PubMed] [Google Scholar]
- 7.Quinzanos-Fresnedo J, Fratini-Escobar PC, Almaguer-Benavides KM, Aguirre-Guemez AV, Barrera-Ortiz A, Perez-Zavala R, et al. Prognostic validity of a clinical trunk control test for independence and walking in individuals with spinal cord injury. J Spinal Cord Med. 2020;43:331–8. doi: 10.1080/10790268.2018.1518124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Boswell-Ruys CL, Sturnieks DL, Harvey LA, Sherrington C, Middleton JW, Lord SR, et al. Validity and reliability of assessment tools for measuring unsupported sitting in people with a spinal cord injury. Arch Phys Med Rehabil. 2009;90:1571–7. doi: 10.1016/j.apmr.2009.02.016. [DOI] [PubMed] [Google Scholar]
- 9.Field-Fote EC, Ray SS. Seated reach distance and trunk excursion accurately reflect dynamic postural control in individuals with motor-incomplete spinal cord injury. Spinal Cord. 2010;48:745–9. doi: 10.1038/sc.2010.11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Jorgensen V, Elfving B, Opheim A. Assessment of unsupported sitting in patients with spinal cord injury. Spinal Cord. 2011;49:838–43. doi: 10.1038/sc.2011.9. [DOI] [PubMed] [Google Scholar]
- 11.Lynch SM, Leahy P, Barker SP. Reliability of measurements obtained with a modified functional reach test in subjects with spinal cord injury. Phys Ther. 1998;78:128–33. doi: 10.1093/ptj/78.2.128. [DOI] [PubMed] [Google Scholar]
- 12.Sprigle S, Maurer C, Holowka M. Development of valid and reliable measures of postural stability. J Spinal Cord Med. 2007;30:40–9. doi: 10.1080/10790268.2007.11753913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Wadhwa G, Aikat R. Development, validity and reliability of the ‘Sitting Balance Measure’ (SBM) in spinal cord injury. Spinal Cord. 2016;54:319–23. doi: 10.1038/sc.2015.148. [DOI] [PubMed] [Google Scholar]
- 14.Abou L, de Freitas GR, Palandi J, Ilha J. Clinical instruments for measuring unsupported sitting balance in subjects with spinal cord injury: a systematic review. Top Spinal Cord Inj Rehabil. 2018;24:177–93. doi: 10.1310/sci17-00027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Bjornshave Noe B, Mikkelsen EM, Hansen RM, Thygesen M, Hagen EM. Incidence of traumatic spinal cord injury in Denmark, 1990-2012: a hospital-based study. Spinal Cord. 2015;53:436–40. doi: 10.1038/sc.2014.181. [DOI] [PubMed] [Google Scholar]
- 16.Johansson E, Luoto TM, Vainionpaa A, Kauppila AM, Kallinen M, Vaarala E, et al. Epidemiology of traumatic spinal cord injury in Finland. Spinal Cord. 2021;59:761–8. doi: 10.1038/s41393-020-00575-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.McCaughey EJ, Purcell M, McLean AN, Fraser MH, Bewick A, Borotkanics RJ, et al. Changing demographics of spinal cord injury over a 20-year period: a longitudinal population-based study in Scotland. Spinal Cord. 2016;54:270–6. doi: 10.1038/sc.2015.167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Nijendijk JH, Post MW, van Asbeck FW. Epidemiology of traumatic spinal cord injuries in The Netherlands in 2010. Spinal Cord. 2014;52:258–63. doi: 10.1038/sc.2013.180. [DOI] [PubMed] [Google Scholar]
- 19.Sabre L, Pedai G, Rekand T, Asser T, Linnamagi U, Korv J, et al. High incidence of traumatic spinal cord injury in Estonia. Spinal Cord. 2012;50:755–9. doi: 10.1038/sc.2012.54. [DOI] [PubMed] [Google Scholar]
- 20.Miyakoshi N, Suda K, Kudo D, Saka H, Nakagawa Y, Mikami Y, et al. A nationwide survey on the incidence and characteristics of traumatic spinal cord injury in Japan in 2018. Spinal Cord. 2021;59:626–34. doi: 10.1038/s41393-020-00533-0. [DOI] [PubMed] [Google Scholar]
- 21.Sato H, Yoshikawa K, Miyata K, Sano A, Mizukami M. Development and reliability of Trunk Assessment Scale for Spinal Cord Injury (TASS) Rigakuryohogaku. 2021;48:321–9. [Google Scholar]
- 22.Kottner J, Audige L, Brorson S, Donner A, Gajewski BJ, Hrobjartsson A, et al. Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed. Int J Nurs Stud. 2011;48:661–71. doi: 10.1016/j.ijnurstu.2011.01.016. [DOI] [PubMed] [Google Scholar]
- 23.Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60:34–42. doi: 10.1016/j.jclinepi.2006.03.012. [DOI] [PubMed] [Google Scholar]
- 24.Terwee CB, Mokkink LB, Knol DL, Ostelo RW, Bouter LM, de Vet HC, et al. Rating the methodological quality in systematic reviews of studies on measurement properties: a scoring system for the COSMIN checklist. Qual Life Res. 2012;21:651–7. doi: 10.1007/s11136-011-9960-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Prinsen CAC, Mokkink LB, Bouter LM, Alonso J, Patrick DL, de Vet HCW, et al. COSMIN guideline for systematic reviews of patient-reported outcome measures. Qual Life Res. 2018;27:1147–57. doi: 10.1007/s11136-018-1798-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Fisher R. Statistical methods for research workers. V ed. Edinburgh, United Kingdom, Oliver and Boyd; 1934.
- 27.Streiner D, Norman G, Cairney J. Health measurement scales: a practical guide to their development and use. Oxford, United Kingdom: Oxford University Press; 2015.
- 28.Di Carlo S, Bravini E, Vercelli S, Massazza G, Ferriero G. The Mini-BESTest: a review of psychometric properties. Int J Rehabil Res. 2016;39:97–105. doi: 10.1097/MRR.0000000000000153. [DOI] [PubMed] [Google Scholar]
- 29.Smidt N, van der Windt DA, Assendelft WJ, Mourits AJ, Deville WL, de Winter AF, et al. Interobserver reproducibility of the assessment of severity of complaints, grip strength, and pressure pain threshold in patients with lateral epicondylitis. Arch Phys Med Rehabil. 2002;83:1145–50. doi: 10.1053/apmr.2002.33728. [DOI] [PubMed] [Google Scholar]
- 30.Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;i:307–10. doi: 10.1016/S0140-6736(86)90837-8. [DOI] [PubMed] [Google Scholar]
- 31.Bland JM, Altman DG. Agreement between methods of measurement with multiple observations per individual. J Biopharmaceutical Stat. 2007;17:571–82. doi: 10.1080/10543400701329422. [DOI] [PubMed] [Google Scholar]
- 32.Giavarina D. Understanding Bland Altman analysis. Biochem Med. 2015;25:141–51. doi: 10.11613/BM.2015.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.R Core Team. R: a language and environment for statistical computing. Version 3.6.3[software]. 2020. https://www.R-project.org/.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.