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Factors associated with dropout from physical function assessment programs among participants receiving maintenance
Tomoya Yamaguchi1, Hiroki Yabe2, Yuya Mitake3
1Department of Rehabilitation, Seirei Fukuroi Municipal Hospital, Shizuoka, Japan.
Insights
Self-efficacy (SE) is key to preventing dropout from physical function assessment programs in hemodialysis patients. Higher SE and age were linked to program continuation, with SE being the strongest predictor.
Area of Science:
- Nephrology
- Rehabilitation Medicine
- Health Psychology
Background:
- Outpatient hemodialysis (HD) patients often experience physical decline.
- Physical function assessment programs aim to improve patient outcomes.
- Dropout from these programs can hinder treatment effectiveness.
Purpose of the Study:
- To identify factors associated with dropout from physical function assessment programs in HD patients.
- To determine predictors of program adherence and discontinuation.
Main Methods:
- Prospective study following 101 HD patients for 3 years.
- Comparison of continuation (n=43) and dropout (n=58) groups.
- Multivariate logistic regression to identify dropout predictors.
Main Results:
- The continuation group showed significantly higher self-efficacy (SE) and age.
- Multivariate analysis revealed SE as a significant predictor of dropout (OR: 1.202, 95% CI: 1.082-1.334).
- Age was not a significant predictor after adjustment.
Conclusions:
- Self-efficacy is a critical factor in maintaining participation in physical function assessment programs for HD patients.
- Evaluating and supporting patient SE may reduce dropout rates.
- Interventions targeting SE could enhance program adherence and long-term physical function.
Abstract:
We aimed to investigate the factors associated with dropout from a physical function assessment program among participants receiving outpatient hemodialysis (HD). The participants were divided into continuation and dropout groups and followed up for 3 years after the initial physical function assessment. Multivariate logistic regression analyses were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the dropout group to determine the factors associated with dropout from the physical function assessment program. The continuation and dropout groups included 43 and 58 participants, respectively. The continuation group had a significantly higher self-efficacy (SE) and age than the dropout group (p = 0.001, p = 0.047). Multivariate logistic regression analysis indicated that only SE (OR: 1.202, 95% CI: 1.082-1.334) remained a significant predictor after adjustment (p < 0.05). There is a need to evaluate SE to prevent dropout from physical functioning assessment programs.
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