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Test-retest reliability and convergent validity of a computer based hand function test protocol in people with arthritis.

Srikesavan CS, Shay B, Szturm T - Open Orthop J (2015)

Bottom Line: Self-reported joint pain and stiffness levels were recorded before and after each task.Significant reduction in pain and joint stiffness (p<0.05) was observed after performing each task.This allows an innovative method of assessing performance than considering the time taken to complete a task or relying on subjective measures of self-reports on a limited range of objects and tasks covered.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Graduate Studies, University of Manitoba, Winnipeg, Canada.

ABSTRACT

Objectives: A computer based hand function assessment tool has been developed to provide a standardized method for quantifying task performance during manipulations of common objects/tools/utensils with diverse physical properties and grip/grasp requirements for handling. The study objectives were to determine test-retest reliability and convergent validity of the test protocol in people with arthritis.

Methods: Three different object manipulation tasks were evaluated twice in forty people with rheumatoid arthritis (RA) or hand osteoarthritis (HOA). Each object was instrumented with a motion sensor and moved in concert with a computer generated visual target. Self-reported joint pain and stiffness levels were recorded before and after each task. Task performance was determined by comparing the object movement with the computer target motion. This was correlated with grip strength, nine hole peg test, Disabilities of Arm, Shoulder, and Hand (DASH) questionnaire, and the Health Assessment Questionnaire (HAQ) scores.

Results: The test protocol indicated moderate to high test-retest reliability of performance measures for three manipulation tasks, intraclass correlation coefficients (ICCs) ranging between 0.5 to 0.84, p<0.05. Strength of association between task performance measures with self- reported activity/participation composite scores was low to moderate (Spearman rho <0.7). Low correlations (Spearman rho < 0.4) were observed between task performance measures and grip strength; and between three objects' performance measures. Significant reduction in pain and joint stiffness (p<0.05) was observed after performing each task.

Conclusion: The study presents initial evidence on the test retest reliability and convergent validity of a computer based hand function assessment protocol in people with rheumatoid arthritis or hand osteoarthritis. The novel tool objectively measures overall task performance during a variety of object manipulation tasks done by tracking a computer based visual target. This allows an innovative method of assessing performance than considering the time taken to complete a task or relying on subjective measures of self-reports on a limited range of objects and tasks covered. In addition, joint pain and stiffness levels before and after a manipulation task are tracked, which is lacking in other hand outcome measures. Performance measures during a broad range of object manipulation tasks relate to many activities relevant to life role participation. Therefore, task performance evaluation of common objects, utensils, or tools would be more valuable to gauge the difficulties encountered in daily life by people with arthritis. Future studies should consider a few revisions of the present protocol and evaluate a number of different objects targeting strength, fine, and gross dexterity based tasks for a broader application of the tool in arthritis populations.

No MeSH data available.


Related in: MedlinePlus

a. User movement trajectory plots for all three tasks. The user trajectory plots for wineglass, salad tongs, and jug tasks areshown. The top panel of plots represent user trajectories with COD’s >0.80 and bottom panel with COD’s <0.5. The maximum and minimumboundaries of reference waveform are highlighted by horizontal lines above and below each user trajectory. b. Mean and standard error ofmean for COD of each task. Histograms of mean and standard error of mean for COD of wineglass (WG), salad tongs (ST) and jug (JG)tasks in test sessions 1 (grey bars) and 2 (black bars). COD measured from 0-1, is represented on the y-axis.
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Figure 2: a. User movement trajectory plots for all three tasks. The user trajectory plots for wineglass, salad tongs, and jug tasks areshown. The top panel of plots represent user trajectories with COD’s >0.80 and bottom panel with COD’s <0.5. The maximum and minimumboundaries of reference waveform are highlighted by horizontal lines above and below each user trajectory. b. Mean and standard error ofmean for COD of each task. Histograms of mean and standard error of mean for COD of wineglass (WG), salad tongs (ST) and jug (JG)tasks in test sessions 1 (grey bars) and 2 (black bars). COD measured from 0-1, is represented on the y-axis.

Mentions: Demographic characteristics and the scores (Mean ±SD) of grip strength, NHPT, DASH and HAQ of the study participants are presented in Table 2. Fig. (2a) presents representative examples (and respective CODs) of the user motion trajectories with the three tasks. The top panels of plots are examples of good performance (CODs > 0.8) and the bottom panels, of poor performance (CODs <0.5). Fig. (2b) presents the mean (standard error) for the COD of each task during both test sessions. Table 3 presents the group means (SD) for COD, ICCs, and SEMs. Test re-test reliability of the task performance was high (ICC >0.75) for wineglass task and moderate (ICC between 0.5 and 0.75) for the jug and salad tongs tasks. Paired student’t’ tests showed no significant differences in mean performance measures for each task between the sessions (p>0.05).


Test-retest reliability and convergent validity of a computer based hand function test protocol in people with arthritis.

Srikesavan CS, Shay B, Szturm T - Open Orthop J (2015)

a. User movement trajectory plots for all three tasks. The user trajectory plots for wineglass, salad tongs, and jug tasks areshown. The top panel of plots represent user trajectories with COD’s >0.80 and bottom panel with COD’s <0.5. The maximum and minimumboundaries of reference waveform are highlighted by horizontal lines above and below each user trajectory. b. Mean and standard error ofmean for COD of each task. Histograms of mean and standard error of mean for COD of wineglass (WG), salad tongs (ST) and jug (JG)tasks in test sessions 1 (grey bars) and 2 (black bars). COD measured from 0-1, is represented on the y-axis.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4384228&req=5

Figure 2: a. User movement trajectory plots for all three tasks. The user trajectory plots for wineglass, salad tongs, and jug tasks areshown. The top panel of plots represent user trajectories with COD’s >0.80 and bottom panel with COD’s <0.5. The maximum and minimumboundaries of reference waveform are highlighted by horizontal lines above and below each user trajectory. b. Mean and standard error ofmean for COD of each task. Histograms of mean and standard error of mean for COD of wineglass (WG), salad tongs (ST) and jug (JG)tasks in test sessions 1 (grey bars) and 2 (black bars). COD measured from 0-1, is represented on the y-axis.
Mentions: Demographic characteristics and the scores (Mean ±SD) of grip strength, NHPT, DASH and HAQ of the study participants are presented in Table 2. Fig. (2a) presents representative examples (and respective CODs) of the user motion trajectories with the three tasks. The top panels of plots are examples of good performance (CODs > 0.8) and the bottom panels, of poor performance (CODs <0.5). Fig. (2b) presents the mean (standard error) for the COD of each task during both test sessions. Table 3 presents the group means (SD) for COD, ICCs, and SEMs. Test re-test reliability of the task performance was high (ICC >0.75) for wineglass task and moderate (ICC between 0.5 and 0.75) for the jug and salad tongs tasks. Paired student’t’ tests showed no significant differences in mean performance measures for each task between the sessions (p>0.05).

Bottom Line: Self-reported joint pain and stiffness levels were recorded before and after each task.Significant reduction in pain and joint stiffness (p<0.05) was observed after performing each task.This allows an innovative method of assessing performance than considering the time taken to complete a task or relying on subjective measures of self-reports on a limited range of objects and tasks covered.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Graduate Studies, University of Manitoba, Winnipeg, Canada.

ABSTRACT

Objectives: A computer based hand function assessment tool has been developed to provide a standardized method for quantifying task performance during manipulations of common objects/tools/utensils with diverse physical properties and grip/grasp requirements for handling. The study objectives were to determine test-retest reliability and convergent validity of the test protocol in people with arthritis.

Methods: Three different object manipulation tasks were evaluated twice in forty people with rheumatoid arthritis (RA) or hand osteoarthritis (HOA). Each object was instrumented with a motion sensor and moved in concert with a computer generated visual target. Self-reported joint pain and stiffness levels were recorded before and after each task. Task performance was determined by comparing the object movement with the computer target motion. This was correlated with grip strength, nine hole peg test, Disabilities of Arm, Shoulder, and Hand (DASH) questionnaire, and the Health Assessment Questionnaire (HAQ) scores.

Results: The test protocol indicated moderate to high test-retest reliability of performance measures for three manipulation tasks, intraclass correlation coefficients (ICCs) ranging between 0.5 to 0.84, p<0.05. Strength of association between task performance measures with self- reported activity/participation composite scores was low to moderate (Spearman rho <0.7). Low correlations (Spearman rho < 0.4) were observed between task performance measures and grip strength; and between three objects' performance measures. Significant reduction in pain and joint stiffness (p<0.05) was observed after performing each task.

Conclusion: The study presents initial evidence on the test retest reliability and convergent validity of a computer based hand function assessment protocol in people with rheumatoid arthritis or hand osteoarthritis. The novel tool objectively measures overall task performance during a variety of object manipulation tasks done by tracking a computer based visual target. This allows an innovative method of assessing performance than considering the time taken to complete a task or relying on subjective measures of self-reports on a limited range of objects and tasks covered. In addition, joint pain and stiffness levels before and after a manipulation task are tracked, which is lacking in other hand outcome measures. Performance measures during a broad range of object manipulation tasks relate to many activities relevant to life role participation. Therefore, task performance evaluation of common objects, utensils, or tools would be more valuable to gauge the difficulties encountered in daily life by people with arthritis. Future studies should consider a few revisions of the present protocol and evaluate a number of different objects targeting strength, fine, and gross dexterity based tasks for a broader application of the tool in arthritis populations.

No MeSH data available.


Related in: MedlinePlus