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Tablet-based Cognitive Behavioral Group Intervention to Improve Step Count, Fatigue, Self-efficacy and Quality of Life in Arthritis Patients

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Abstract
Background: Arthritis is a leading cause of long-term disability in older adults. Fatigue is a prevalent symptom occurring in up to 80% of arthritis patients. Finding solutions to improve long-term symptom severity amongst is a critical need. Purpose: To improve long-term arthritis fatigue symptoms by encouraging simple walking using a tablet-based cognitive behavioral group intervention, called Tab-G. Tab-G encourages simple walking through group participant engagement and goal setting. Methods: Using an experimental, longitudinal pre and posttest repeated measures design, older adults with arthritis fatigue (n = 40) were randomized the Tab-G (intervention group, n = 18) or the control group (n = 22). The two groups were compared on four outcomes: daily step counts, level of fatigue, self-efficacy, and perceived quality of life (QOL) across four time points (baseline, week 4 (end of Tab-G intervention), week 8 (follow-up #1), week 10 (follow-up #2). Results: Results of the RM-ANOVA show significant mean differences (Tab-G vs. Control), in daily step counts, F(1, 36), = 4.180, p < .001, with Tab-G participants reporting higher steps, however there were no statistically significant time differences in daily step counts at the four time points. Significant mean differences in fatigue scores F(1, 36), = 9.971, p = .003, were observed with Tab-G participants reporting lower fatigue. Significant mean score differences in fatigue scores at the four time points, F(3, 108), = 5.430, p = .002, were also seen. Tab-G participants reported higher self-efficacy with significant group mean score increase, F(1,28), = 4.645, p = .04, when compared to the control group. Significant mean score differences were noted at the four time points for self-efficacy as well. Significant mean differences in QOL-RA scores between the two groups, F(1, 29), = 6.147, p = .019, with Tab-G participants reporting higher QOL, as well as significant mean score differences in the QOL scores at the four time points, F(3,87), = 3.673, p = .015. Conclusion: The long-term effectiveness of Tab-G is one solution for self-management of arthritis fatigue. For more persuasive evidence, a trajectory of future research should include G-CBI for arthritis fatigue, including feasibility and duration of effectiveness.
Type
campusfive
dissertation
Date
2023-05
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http://creativecommons.org/licenses/by-nc-nd/4.0/
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2024-05-26T00:00:00-07:00
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