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Engagement in Digital Self-management Interventions for Chronic Pain: A Systematic Review
R Ross MacLean1,2, Rachel Shor3,4, Erin D Reilly5,6
1VISN1 Mental Illness Research, Education, and Clinical Center, VA Connecticut Healthcare System, West Haven.
Engagement in digital chronic pain self-management interventions is often low. This systematic review highlights inconsistent reporting of engagement data, emphasizing the need for standardized guidelines to improve intervention efficacy and accessibility for chronic pain patients.
Area of Science:
- Digital health interventions
- Pain management
- Behavioral science
Background:
- Digital interventions offer scalable, non-pharmacological chronic pain treatment.
- Low engagement remains a significant barrier to the efficacy of digital self-management tools.
- Standardized measurement of engagement is crucial for evaluating and improving these interventions.
Purpose of the Study:
- To systematically review how engagement is measured and reported in digital self-management interventions for chronic pain.
- To identify gaps in the current reporting of engagement data.
- To propose guidelines for consistent data collection and reporting.
Main Methods:
- A pre-registered systematic review was conducted.
- Boolean search terms identified digital chronic pain self-management interventions without clinician support.
- 43 studies met inclusion criteria, with data extracted from 41 unique datasets (4205 participants).
Main Results:
- Approximately 10% of studies failed to report any engagement data.
- Most studies reported only mean system usage metrics.
- Few studies examined self-reported skill use or demographic associations with engagement.
Conclusions:
- Significant gaps exist in the reporting of engagement data for digital chronic pain interventions.
- Standardized guidelines for collecting and reporting engagement are needed.
- Consistent reporting will enhance the evaluation, efficacy, and improvement of digital pain management solutions.
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