Evidence map›Paper›PMID 35314422›Full record

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.

Saha Meheli, Chaitali Sinha, Madhura Kadaba

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
6.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT05694507 nacompletednot on this mapstarted 2023, after this paper: background citation

Evaluation of Chatbot for Mental Well-being: A Randomized Controlled Trial

TypeinterventionalSponsorChinese University of Hong KongRan2023 to 2023Enrolled293ConditionsMental Well-being, Mental Health LiteracyArmsMental Well-being Chatbot
NCT07167056 narecruitingnot on this mapstarted 2025, after this paper: background citation

Artificial Intelligence-Powered Support For Quality Of Life Improvement In Patients With Cancer

TypeinterventionalSponsorCase Comprehensive Cancer CenterRan2025 to 2027Enrolled60ConditionsCancerArmsStandard of Care Psychotherapy, WYSA App
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Moving towards the use of artificial intelligence in pain management.European journal of pain (London, England) · 2025
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  18. 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 · 2023
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  19. Article
  20. Using artificial intelligence to improve pain assessment and pain management: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Saha Meheli *Department of Clinical Psychology, National Institute of Mental Health and Neurosciences, Bangalore, India.ORCID https://orcid.org/0000-0001-7728-8581
Chaitali Sinha *Wysa Inc, Boston, MA, United States.ORCID https://orcid.org/0000-0001-8919-7134
Madhura Kadaba *Wysa Inc, Boston, MA, United States.ORCID https://orcid.org/0000-0001-7471-7272
National Institute of Mental Health and Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

anxietyartificial intelligencechronic paincognitive behavioral therapyconversational agentdepressiondigital mental healthmHealthmobile healthpain conditionspain managementsoftware agent

Identifiers

PMID35314422
PMCPMC9096642
OpenAlexW4221028170

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.