Accepted for/Published in: JMIR Formative Research
Date Submitted: Feb 15, 2022
Date Accepted: May 8, 2022
Date Submitted to PubMed: May 8, 2022
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Adherence and Engagement with a Cognitive Behavioral Therapy Based Conversational Agent (Wysa) in Adults with Chronic Pain: Survival Analysis
ABSTRACT
Background:
Digital applications are commonly used to support mental health and well-being. However, successfully retaining and engaging users to complete digital interventions is challenging, and comorbidities such as chronic pain further reduce user engagement. Digital conversational agents may improve user engagement by applying engagement principles that have been implemented within in-person care settings.
Objective:
To evaluate user retention and engagement with an artificial intelligence (AI)-led digital mental health application (app) that is customized for individuals managing mental health symptoms and coexisting chronic pain (Wysa for Chronic Pain).
Methods:
In this ancillary survival analysis of a clinical trial, participants included 51 adults who presented to a tertiary care center for chronic musculoskeletal pain, who endorsed coexisting symptoms of depression and/or anxiety (PROMIS Depression and/or Anxiety score ≥ 55), and initiated onboarding to an 8-week subscription of Wysa for Chronic Pain. The study outcomes were user retention, defined as revisiting the app each week and the last day of engagement, and user engagement, defined by the number of sessions the user completed.
Results:
Users engaged in a mean of 4.0 (SD 0.9) sessions per week, and a cumulative mean of 33.3 sessions during the eight-week study period. The survival analysis depicted a median user retention period (i.e., time to complete disengagement) of 51 days, with the usage of a morning check-in feature statistically significant in its relationship with a longer retention period (p = .001).
Conclusions:
Our findings suggest that the user retention and engagement with a CBT-based conversational agent which is built for users with chronic pain is higher than standard industry metrics. These results have clear implications for addressing issues of suboptimal engagement of digital health interventions and improving access to care for chronic pain. Future work should use these findings to inform the design of evidence-based interventions for individuals with chronic pain and to enhance user retention and engagement of digital health interventions more broadly. Clinical Trial: ClinicalTrials.gov NCT202005219
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