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

Formative Evaluation of Digital Health Interventions (5116) Mobile Health (mhealth) (5166) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3204) Demographics of Users, Social & Digital Divide (1294) mHealth for Wellness, Behavior Change and Prevention (4263) Equity and Digital Divide (518) Use and User Demographics of mHealth (507) Users' and Patients' Needs for Mental Health Services (685)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49780, first published .
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Race and Socioeconomic Status as Predictors of Willingness to Use Digital Mental Health Interventions or One-On-One Psychotherapy: National Survey Study

Race and Socioeconomic Status as Predictors of Willingness to Use Digital Mental Health Interventions or One-On-One Psychotherapy: National Survey Study

Authors of this article:

Lorenzo Lorenzo-Luaces1 Author Orcid Image ;   Akash Wasil2 Author Orcid Image ;   Corinne N Kacmarek3 Author Orcid Image ;   Robert DeRubeis4 Author Orcid Image
Article Authors Cited by (11) Tweetations (12) Metrics

Journals

  1. Lorenzo-Luaces L, Dierckman C, Lind C, Peipert A, de Jesús-Romero R, Buss J, Ramirez I, Starvaggi I, Adams S, Howard J, Fite R. A Pragmatic Randomized Controlled Trial of Stepped Care Cognitive-behavioral Therapy for Internalizing Distress in Adults. Cognitive Therapy and Research 2024;48(5):998 View
  2. Davies J, Faschinger A, Galante J, Van Dam N. Prevalence and 20-year trends in meditation, yoga, guided imagery and progressive relaxation use among US adults from 2002 to 2022. Scientific Reports 2024;14(1) View
  3. Siddals S, Torous J, Coxon A. “It happened to be the perfect thing”: experiences of generative AI chatbots for mental health. npj Mental Health Research 2024;3(1) View
  4. Starvaggi I, Lorenzo-Luaces L. Psychotherapy Access Barriers and Interest in Digital Mental Health Interventions Among Adults With Treatment Needs: Survey Study. JMIR Mental Health 2025;12:e65356 View
  5. Dwyer B, Mikkelson J, Burns J, Diaz-Pacheco V, Torous J. Mental Health Apps and Crisis Support: Exploring the Impact of 988. Psychiatric Services 2025;76(10):867 View
  6. Zainal N, Wang V, Garthwaite B, Curtiss J. What factors are related to engagement with digital mental health interventions (DMHIs)? A meta-analysis of 117 trials. Health Psychology Review 2026;20(1):151 View
  7. Horton E, Wright H, Turner A, Moody L, Aphramor L, Carlson A, Ghiasvand H, Palmer S. Using a Co-Designed Digital Self-Management Program to Prepare Patients for Hip or Knee Replacement Surgery: Pragmatic Pilot Study. JMIR Rehabilitation and Assistive Technologies 2026;13:e68286 View
  8. Takae A, Sasaki N, Imamura K, Nishi D. Effectiveness of Internet-Based Cognitive Behavioral Therapy for Depressive Symptoms During Pregnancy by Using Real-World Data: Retrospective Cohort Study. JMIR mHealth and uHealth 2025;13:e73512 View
  9. Steinberg J, Lorenzo-Luaces L, Wasil A, Howard J, Murphy S, Strunk D, DeRubeis R. An online wellness intervention for internalizing symptoms in college students: A multi-site randomized controlled trial evaluating the efficacy of the Common Elements Toolbox (COMET). Behaviour Research and Therapy 2026;203:105074 View
  10. Roemmel N, Hadjistavropoulos H, Nugent M, Lieb R, Meinlschmidt G. Ethnocultural differences in symptom change, engagement, and adherence in internet-delivered cognitive behavioral therapy: A secondary analysis of a healthcare-embedded longitudinal study. Internet Interventions 2026;45:100974 View
  11. Zvolensky M, Garey L, Gallagher M, Cheney M, Vujanovic A, Kendzor D, Stephens L, Cole A, Mao B, Kezbers K, Montgomery A, Shepherd J, Jo D, Redmond B, Thai J, Businelle M. Evaluating smartphone-based interventions for anxiety and depressive symptoms: A randomized controlled trial. Behaviour Research and Therapy 2026;205:105144 View