This paper is in the following e-collection/theme issue:

User-centred Design Case Studies (602) mHealth in a Clinical Setting (624) Natural Language Processing (706) Web-based and Mobile Health Interventions (3357) HIV/AIDS/STI Prevention and Care (882)

Published on in Vol 9, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37350, first published .
Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Authors of this article:

Simone J Skeen1, 2 Author Orcid Image ;   Stephen Scott Jones2 Author Orcid Image ;   Carolyn Marie Cruse2 Author Orcid Image ;   Keith J Horvath3 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

Journals

  1. Ahmad S, Laroche M. Extracting marketing information from product reviews: a comparative study of latent semantic analysis and probabilistic latent semantic analysis. Journal of Marketing Analytics 2023;11(4):662 View
  2. Sharma R, Bharathy G, Karimi F, Mishra A, Prasad M. Thematic Analysis of Big Data in Financial Institutions Using NLP Techniques with a Cloud Computing Perspective: A Systematic Literature Review. Information 2023;14(10):577 View
  3. Chubb L. Me and the Machines: Possibilities and Pitfalls of Using Artificial Intelligence for Qualitative Data Analysis. International Journal of Qualitative Methods 2023;22 View
  4. Skeen S, Tokarz S, Gasik R, Solano C, Smith E, Sagoe M, Hudson L, Steele K, Theall K, Clum G. A Trauma-Informed, Geospatially Aware, Just-in-Time Adaptive mHealth Intervention to Support Effective Coping Skills Among People Living With HIV in New Orleans: Development and Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2023;12:e47151 View
  5. Ciolfi Felice M, Søndergaard M, Balaam M. Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e47131 View
  6. Qureshi S, Judson E, Cummins C, Gadoud A, Sanders K, Doherty M. Resisting the (re-)medicalisation of dying and grief in the post-digital age: Natural language processing and qualitative analysis of data from internet support forums. Social Science & Medicine 2024;348:116517 View
  7. Prescott M, Yeager S, Ham L, Rivera Saldana C, Serrano V, Narez J, Paltin D, Delgado J, Moore D, Montoya J. Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses. JMIR AI 2024;3:e54482 View
  8. Di Basilio D, King L, Lloyd S, Michael P, Shardlow M. Asking questions that are “close to the bone”: integrating thematic analysis and natural language processing to explore the experiences of people with traumatic brain injuries engaging with patient-reported outcome measures. Frontiers in Digital Health 2024;6 View
  9. Baek C, Tate T, Warschauer M. “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI. Computers and Education: Artificial Intelligence 2024;7:100294 View
  10. Holmes A, Sachar A, Chang Y. Perceived Impact of COVID‐19 in an Underserved Community: A Natural Language Processing Approach. Journal of Advanced Nursing 2024 View
  11. Griffith F, Ash G, Augustine M, Latimer L, Verne N, Redeker N, O’Malley S, DeMartini K, Fucito L. Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults. npj Digital Medicine 2024;7(1) View

Books/Policy Documents

  1. Vibha , Pai R, Sumith N. Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. View