ArticleJMIR human factors2022
Understanding People With Chronic Pain Who Use a Cognitive Behavioral Therapy-Based Artificial Intelligence Mental Health App (Wysa): Mixed Methods Retrospective Observational Study.
Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 22 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluation of Chatbot for Mental Well-being: A Randomized Controlled Trial
Artificial Intelligence-Powered Support For Quality Of Life Improvement In Patients With Cancer
Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.
- Conversational Agents Supporting Self-Management in People With a Chronic Disease: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Moving towards the use of artificial intelligence in pain management.European journal of pain (London, England) · 2025Pooled it
- Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review.Frontiers in psychiatry · 2024Pooled it
- Alleviating Nurse Burnout With an Artificial Intelligence-Selected Mobile Cognitive Behavioral Therapy-Based Intervention: Mixed Methods Randomized Controlled Trial.JMIR mHealth and uHealth · 2026Trial
- Review
- Current Landscape of Mental Health Conversational Agents From a Trauma-Informed Care Lens: Scoping Review.JMIR mental health · 2026Article
- A Therapeutic Conversational Agent (Solace) for Management of Chronic Pain: Acceptability and Usability Study.JMIR rehabilitation and assistive technologies · 2026Article
- Trauma-informed conversational agents for mental health: understanding user perspectives and experiences.Frontiers in digital health · 2026Article
- Use of Artificial Intelligence in Mental Healthcare, Health Psychology, and Related Research: A Narrative Review to Address Challenges and Opportunities.Health science reports · 2025Article
- Chatbots' Empathetic Conversations and Responses: A Qualitative Study of Help‑Seeking Queries on Depressive Moods Across 8 Commercial Conversational Agents.JMIR formative research · 2025Article
- AI Applications for Chronic Condition Self-Management: Scoping Review.Journal of medical Internet research · 2025Article
- Artificial Intelligence-Powered Cognitive Behavioral Therapy Chatbots, a Systematic Review.Iranian journal of psychiatry · 2025Review
- The Role of Virtual Reality and Artificial Intelligence in Cognitive Pain Therapy: A Narrative Review.Current pain and headache reports · 2024Review
- The Ethical Stewardship of Artificial Intelligence in Chronic Pain and Headache: A Narrative Review.Current pain and headache reports · 2024Review
- Evaluating the Potential and Pitfalls of AI-Powered Conversational Agents as Humanlike Virtual Health Carers in the Remote Management of Noncommunicable Diseases: Scoping Review.Journal of medical Internet research · 2024Article
- Effectiveness of a Mental Health Chatbot for People With Chronic Diseases: Randomized Controlled Trial.JMIR formative research · 2024Article
- Neuroimaging and artificial intelligence for assessment of chronic painful temporomandibular disorders-a comprehensive review.International journal of oral science · 2023Review
- An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2023Article
- Behavioral Mechanisms That Mediate Mental and Physical Health Improvements in People With Chronic Pain Who Receive a Digital Health Intervention: Prospective Cohort Pilot Study.JMIR formative research · 2023Article
- Using artificial intelligence to improve pain assessment and pain management: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDigital health interventions can bridge barriers in access to treatment among individuals with chronic pain.
objectiveThis study aimed to evaluate the perceived needs, engagement, and effectiveness of the mental health app Wysa with regard to mental health outcomes among real-world users who reported chronic pain and engaged with the app for support.
methodsReal-world data from users (N=2194) who reported chronic pain and associated health conditions in their conversations with the mental health app were examined using a mixed methods retrospective observational study. An inductive thematic analysis was used to analyze the 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 Patient Health Questionnaire-9 (PHQ-9) (n=69) and Generalized Anxiety Disorder Assessment-7 (GAD-7) (n=57), were examined to evaluate the effectiveness of Wysa in providing support for mental health concerns among those managing chronic pain.
resultsThe 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<.001) than users without chronic pain, with a large effect size (Vargha and Delaney A=0.76-0.80). Furthermore, users with pre-post assessments during the study period were found to have significant improvements in group means for both PHQ-9 and GAD-7 symptom scores, with a medium effect size (Cohen d=0.60-0.61).
conclusionsThe 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 the needs of users with chronic pain and the lack of support structures, and suggest that Wysa can provide effective support to bridge the gap.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.