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Self-efficacy Through Digital Care Plan Participation.
Justin M Smith1, Laura A Christopherson, Sarah B Harper
1Author Affiliations: Department of Nursing (Dr Smith), Center for Digital Health (Ms Christopherson), and Division of Clinical Trials and Biostatistics (Mr Harmsen), Mayo Clinic, Rochester, MN; and Artificial Intelligence and Bioinformatics (Ms Harper), Mayo Clinic Health System - Northwest Wisconsin region, Eau Claire, WI.
Digital care plans aim to boost self-care, but a study found limited changes in patient self-efficacy. Low completion rates for self-management scales hindered definitive conclusions on digital health outcomes.
Area of Science:
- Digital Health
- Health Informatics
- Patient Self-Management
Background:
- Self-care is crucial for individual health and wellness.
- Facilitated self-care integrates technology into clinical activities like patient education and biometric tracking.
- Digital interactive care plans represent an advancement in healthcare delivery.
Purpose of the Study:
- To evaluate if participation in a digital interactive care plan correlates with increased perceived self-efficacy.
- To measure changes in self-efficacy using the Shortened Perceived Medical Condition Self-management Scale.
- To assess the impact of digital health solutions on patient self-management capabilities.
Main Methods:
- Retrospective study design.
- Inclusion of adult patients enrolled in 15 interactive care plans (October 2021 - December 2022).
- Analysis of Shortened Perceived Medical Condition Self-management Scale scores from baseline to end-of-care plan.
Main Results:
- High rates of non-completion for the self-management scale (48.7% at baseline, 73.5% at end-of-care).
- Among completers (n=848), 52.2% showed no change in self-efficacy.
- Similar proportions reported increased (25.6%) and decreased (21.9%) self-efficacy.
Conclusions:
- Low completion rates limited the study's ability to answer research questions and generalize findings.
- Patient engagement is critical for understanding health outcomes in digital health implementations.
- Further research is needed to optimize digital health tools for improved patient self-efficacy and outcomes.
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