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

Formative Evaluation of Digital Health Interventions (2226) Mobile Health (mhealth) (2777) Anxiety and Stress Disorders (1013) Depression and Mood Disorders; Suicide Prevention (1290) mHealth in a Clinical Setting (582) Prescribable Digital Interventions (Digital Therapeutics) (23) Mobile Health in Psychiatry (403) e-Mental Health and Cyberpsychology (1411) mHealth for Wellness, Behavior Change and Prevention (2754) Behavior Change (655) Knowledge and Attitudes of Mental Health Professionals towards Digital Interventions (21)

Published on in Vol 5, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28538, first published .
Health Care Provider Perspectives on the Use of a Digital Behavioral Health App to Support Patients: Qualitative Study

Health Care Provider Perspectives on the Use of a Digital Behavioral Health App to Support Patients: Qualitative Study

Health Care Provider Perspectives on the Use of a Digital Behavioral Health App to Support Patients: Qualitative Study

Authors of this article:

Valerie Silfee1 Author Orcid Image ;   Kelly Williams2 Author Orcid Image ;   Brett Leber1 Author Orcid Image ;   Jane Kogan2 Author Orcid Image ;   Cara Nikolajski2 Author Orcid Image ;   Eva Szigethy3 Author Orcid Image ;   Catherine Serio1 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Journals

  1. Serio C, Gabarda A, Uyar-Morency F, Silfee V, Ludwig J, Szigethy E, Butterworth S. Strengthening the Impact of Digital Cognitive Behavioral Interventions Through a Dual Intervention: Proficient Motivational Interviewing–Based Health Coaching Plus In-Application Techniques. JMIR Formative Research 2022;6(5):e34552 View
  2. Mogk J, Matson T, Caldeiro R, Garza Mcwethy A, Beatty T, Sevey B, Hsu C, Glass J. Implementation and workflow strategies for integrating digital therapeutics for alcohol use disorders into primary care: a qualitative study. Addiction Science & Clinical Practice 2023;18(1) View
  3. Young K, Xiong T, Pfisterer K, Ng D, Jiao T, Lohani R, Nunn C, Bryant-Lukosius D, Rendon R, Berlin A, Bender J, Brown I, Feifer A, Gotto G, Cafazzo J, Pham Q. A qualitative study on healthcare professional and patient perspectives on nurse-led virtual prostate cancer survivorship care. Communications Medicine 2023;3(1) View
  4. Hurvitz N, Ilan Y. The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from “Nice to Have” to Mandatory Systems. Clinics and Practice 2023;13(4):994 View
  5. Gu Y, Guan Y, Meng Z. Health Providers’ Perceptions and Experiences of Using mHealth for Chronic Noncommunicable Diseases: Qualitative Systematic Review and Meta-Synthesis. Journal of Medical Internet Research 2023;25:e45437 View
  6. Kark S, Worthington M, Christie R, Masino A. Opportunities for digital health technology: identifying unmet needs for bipolar misdiagnosis and depression care management. Frontiers in Digital Health 2023;5 View
  7. Zuckerman K, Rivas Vazquez L, Morales Santos Y, Fuchu P, Broder-Fingert S, Dolata J, Bedrick S, Fernandez J, Fombonne E, Sanders B. Provider perspectives on equity in use of mobile health autism screening tools. Autism 2023 View
  8. Worthington M, Christie R, Masino A, Kark S. Identifying Unmet Needs in Major Depressive Disorder Using a Computer-Assisted Alternative to Conventional Thematic Analysis: Qualitative Interview Study With Psychiatrists. JMIR Formative Research 2024;8:e48894 View
  9. McCarthy M, Wicker A, Roddy J, Remiker M, Roy I, McCoy M, Cerino E, Baldwin J. Feasibility and utility of mobile health interventions for depression and anxiety in rural populations: A scoping review. Internet Interventions 2024;35:100724 View