Evaluating User Feedback for an Artificial Intelligence-Enabled, Cognitive Behavioral Therapy-Based Mental Health App (Wysa): Qualitative Thematic Analysis

被引:0
|
作者
Malik, Tanya [1 ]
Ambrose, Adrian Jacques [2 ]
Sinha, Chaitali [1 ]
机构
[1] Wysa Inc, 131 Dartmouth St, Boston, MA 02116 USA
[2] Columbia Univ, Vagelos Coll Phys & Surg, New York, NY USA
来源
JMIR HUMAN FACTORS | 2022年 / 9卷 / 02期
关键词
digital mental health; artificial intelligence; user reviews; cognitive behavioral therapy; CBT; PREVALENCE; DISORDERS;
D O I
暂无
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Digital mental health apps are rapidly becoming a common source of accessible support across the world, but their effectiveness is often influenced by limited helpfulness and engagement. Objective: This study's primary objective was to analyze feedback content to understand users' experiences with engaging with a digital mental health app. As a secondary objective, an exploratory analysis captured the types of mental health app users. Methods: This study utilized a user-led approach to understanding factors for engagement and helpfulness in digital mental health by analyzing feedback (n=7929) reported on Google Play Store about Wysa, a mental health app (1-year period). The analysis of keywords in the user feedback categorized and evaluated the reported user experience into the core domains of acceptability, usability, usefulness, and integration. The study also captured key deficits and strengths of the app and explored salient characteristics of the types of users who benefit from accessible digital mental health support. Results: The analysis of user feedback found the app to be overwhelmingly positively reviewed (6700/7929, 84.50% 5-star rating). The themes of engaging exercises, interactive interface, and artificial intelligence (AI) conversational ability indicated the acceptability of the app, while the nonjudgmentality and ease of conversation highlighted its usability. The app's usefulness was portrayed by themes such as improvement in mental health, convenient access, and cognitive restructuring exercises. Themes of privacy and confidentiality underscored users' preference for the integrated aspects of the app. Further analysis revealed 4 predominant types of individuals who shared app feedback on the store. Conclusions: Users reported therapeutic elements of a comfortable, safe, and supportive environment through using the digital mental health app. Digital mental health apps may expand mental health access to those unable to access traditional forms of mental health support and treatments.
引用
收藏
页数:10
相关论文
共 11 条
  • [1] Understanding People With Chronic Pain Who Use a Cognitive Behavioral Therapy-Based Artificial Intelligence Mental Health App (Wysa): Mixed Methods Retrospective Observational Study
    Meheli, Saha
    Sinha, Chaitali
    Kadaba, Madhura
    [J]. JMIR HUMAN FACTORS, 2022, 9 (02):
  • [2] Adherence and Engagement With a Cognitive Behavioral Therapy-Based Conversational Agent (Wysa for Chronic Pain) Among Adults With Chronic Pain: Survival Analysis
    Sinha, Chaitali
    Cheng, Abby L.
    Kadaba, Madhura
    [J]. JMIR FORMATIVE RESEARCH, 2022, 6 (05)
  • [3] Understanding Digital Mental Health Needs and Usage With an Artificial Intelligence-Led Mental Health App (Wysa) During the COVID-19 Pandemic: Retrospective Analysis
    Sinha, Chaitali
    Meheli, Saha
    Kadaba, Madhura
    [J]. JMIR FORMATIVE RESEARCH, 2023, 7
  • [4] Standalone Smartphone Cognitive Behavioral Therapy-Based Ecological Momentary Interventions to Increase Mental Health: Narrative Review
    Marciniak, Marta Anna
    Shanahan, Lilly
    Rohde, Judith
    Schulz, Ava
    Wackerhagen, Carolin
    Kobylinska, Dorota
    Tuescher, Oliver
    Binder, Harald
    Walter, Henrik
    Kalisch, Raffael
    Kleim, Birgit
    [J]. JMIR MHEALTH AND UHEALTH, 2020, 8 (11):
  • [5] Enhancing the quality of cognitive behavioral therapy in community mental health through artificial intelligence generated fidelity feedback (Project AFFECT): a study protocol
    Creed, Torrey A.
    Salama, Leah
    Slevin, Roisin
    Tanana, Michael
    Imel, Zac
    Narayanan, Shrikanth
    Atkins, David C.
    [J]. BMC HEALTH SERVICES RESEARCH, 2022, 22 (01)
  • [6] Enhancing the quality of cognitive behavioral therapy in community mental health through artificial intelligence generated fidelity feedback (Project AFFECT): a study protocol
    Torrey A. Creed
    Leah Salama
    Roisin Slevin
    Michael Tanana
    Zac Imel
    Shrikanth Narayanan
    David C. Atkins
    [J]. BMC Health Services Research, 22
  • [7] Mental Health Spillover Effects Among Cohabitating Caregivers of Sierra Leonean Youth Receiving a Cognitive Behavioral Therapy-Based Intervention
    Desrosiers, Alethea
    Schafer, Carolyn
    Freeman, Jordan
    Vandi, Alpha
    Hinton, Miriam
    Betancourt, Theresa
    [J]. HEALTH SERVICES RESEARCH, 2021, 56 : 40 - 41
  • [8] Artificial Intelligence enabled cognitive computer-centered digital analysis model for examination of the children's mental health
    Agarwal, Jyoti
    Sharma, Sachin
    [J]. EVOLUTIONARY INTELLIGENCE, 2024,
  • [9] Effectiveness of cognitive behavioral therapy-based interventions on health outcomes in patients with coronary heart disease: A meta-analysis
    Li, Yan-Ni
    Buys, Nicholas
    Ferguson, Samantha
    Li, Zhan-Jiang
    Sun, Jing
    [J]. WORLD JOURNAL OF PSYCHIATRY, 2021, 11 (11): : 1147 - 1166
  • [10] Organizational Readiness for Implementing an Internet-Based Cognitive Behavioral Therapy Intervention for Depression Across Community Mental Health Services in Albania and Kosovo: Directed Qualitative Content Analysis
    Doukani, Asmae
    Pashoja, Arlinda Cerga
    Fanaj, Naim
    Qirjako, Gentiana
    Meksi, Andia
    Mustafa, Sevim
    Vis, Christiaan
    Hug, Juliane
    [J]. JMIR FORMATIVE RESEARCH, 2021, 5 (11)