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Predictors of Patient Engagement in a Care Coordination Program
Kelechi L Adejumo1, Joseph Kakyomya1, Alison Bank1
1School of Health and Rehabilitation Science, Data Center, University of Pittsburgh, Pittsburgh, PA, USA.
Patient engagement in work disability programs is influenced by factors like work absence, unemployment, education, self-rated health, and age. Tailored strategies are key for optimizing participation.
Area of Science:
- Occupational health
- Health services research
- Disability management
Background:
- Patient engagement is crucial for the success of care coordination programs, particularly for individuals with work disabilities.
- Understanding predictors of engagement can help optimize program delivery and outcomes.
- The PROGRESS-Plus framework provides a comprehensive approach to identifying relevant patient characteristics.
Purpose of the Study:
- To identify predictors of patient engagement in a care coordination program for individuals with work disabilities.
- To utilize a continuum-based definition of engagement and the PROGRESS-Plus framework for analysis.
Main Methods:
- Observational analysis of deidentified data from the Vermont RETAIN Phase II program.
- Inclusion of 429 intervention participants with complete engagement data.
- Categorization of patient engagement into four ordinal levels (none, low, medium, high) based on care manager assessment.
- Bivariable and multivariable ordinal logistic regression analyses using variables defined according to the PROGRESS-Plus framework.
Main Results:
- Injury or illness-related work absence significantly predicted higher engagement (OR = 2.87).
- Unemployment (OR = 0.43) and lower educational attainment (high school or less: OR = 0.40; college: OR = 0.52) predicted lower engagement.
- Poor/fair self-rated health (OR = 1.87) and older age (OR = 1.02 per year) predicted higher engagement.
Conclusions:
- Tailored work disability prevention strategies are essential for optimizing patient engagement.
- Strategies should consider individual health, work, and educational profiles.
- Findings underscore the need for personalized approaches in care coordination for individuals with work limitations.
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