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Accepted for/Published in: JMIR Human Factors

Date Submitted: Dec 14, 2021
Date Accepted: Mar 21, 2022
Date Submitted to PubMed: Mar 22, 2022

The final, peer-reviewed published version of this preprint can be found here:

Understanding People With Chronic Pain Who Use a Cognitive Behavioral Therapy–Based Artificial Intelligence Mental Health App (Wysa): Mixed Methods Retrospective Observational Study

Meheli S, Sinha C, Kabada M

Understanding People With Chronic Pain Who Use a Cognitive Behavioral Therapy–Based Artificial Intelligence Mental Health App (Wysa): Mixed Methods Retrospective Observational Study

JMIR Hum Factors 2022;9(2):e35671

DOI: 10.2196/35671

PMID: 35314422

PMCID: 9096642

Warning: This is an author submission that is not peer-reviewed or edited.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.

Understanding the Users with Chronic Pain on AI CBT Mental Health App (Wysa): A Mixed-Methods Retrospective Observational Study

  • S Meheli; 
  • Chaitali Sinha; 
  • Madhura Kabada

ABSTRACT

Background:

Digital health interventions can bridge barriers in access to treatment of care for individuals with chronic pain.

Objective:

This study aimed to evaluate the perceived needs, engagement and the effectiveness of the mental health app Wysa on mental health outcomes among real-world users who reported chronic pain and engaged with the app for support.

Methods:

Real-world data from users (N = 2,194) who reported chronic pain and associated health conditions in their conversations with a mental health app was analyzed using a mixed-method retrospective observational study. An inductive thematic analysis was used to analyse conversational data of users with chronic pain to assess perceived needs, along with comparative macro-analyses of conversational flows to capture engagement within the app. Additionally, the scores from a subset of users who completed a set of pre-post assessment questionnaires, namely PHQ-9 (N=69) and GAD-7 (N=57), were examined to evaluate the effectiveness of Wysa in providing support for mental health concerns for those managing chronic pain.

Results:

The themes emerging from the conversations of users with chronic pain included Health Concerns, Socioeconomic Concerns, and Pain Management Concerns. Findings from the quantitative analysis indicated that users with chronic pain showed significantly greater app engagement (p value <2.2e-16) than users without chronic pain, with a large effect size (Vargha and Delaney’s A- 0.76 -0.8). Furthermore, the sample of users with pre-post assessments during the study period were found to have significant improvements in group means on both PHQ-9 and GAD-7 symptom scores, with medium effect size (Cohens’d, 0.6-0.61), respectively.

Conclusions:

The findings indicate that users look for tools that can help them address their concerns related to mental health, pain management, and sleep issues. The study findings also indicate the breadth of needs for users with chronic pain and the lack of support structures, and suggests that Wysa can provide effective support to bridge the gap.


 Citation

Please cite as:

Meheli S, Sinha C, Kabada M

Understanding People With Chronic Pain Who Use a Cognitive Behavioral Therapy–Based Artificial Intelligence Mental Health App (Wysa): Mixed Methods Retrospective Observational Study

JMIR Hum Factors 2022;9(2):e35671

DOI: 10.2196/35671

PMID: 35314422

PMCID: 9096642

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