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

New Methods (959) Web-based and Mobile Health Interventions (3345) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1552) Innovations in Mental Health Systems (395) Users' and Patients' Needs for Mental Health Services (408)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17438, first published .
Opportunities and Challenges for Digital Social Prescribing in Mental Health: Questionnaire Study

Opportunities and Challenges for Digital Social Prescribing in Mental Health: Questionnaire Study

Opportunities and Challenges for Digital Social Prescribing in Mental Health: Questionnaire Study

Authors of this article:

Shivani Patel1 Author Orcid Image ;   Gerry Craigen2, 3 Author Orcid Image ;   Mariana Pinto da Costa1, 4, 5 Author Orcid Image ;   Becky Inkster6, 7 Author Orcid Image
Article Authors Cited by (11) Tweetations (5) Metrics

Journals

  1. Hategeka C, Adu P, Desloge A, Marten R, Shao R, Tian M, Wei T, Kruk M, Geng E. Implementation research on noncommunicable disease prevention and control interventions in low- and middle-income countries: A systematic review. PLOS Medicine 2022;19(7):e1004055 View
  2. Lee H, Chung M, Kim H, Nam E. The Effect of Cognitive Function Health Care Using Artificial Intelligence Robots for Older Adults: Systematic Review and Meta-analysis. JMIR Aging 2022;5(2):e38896 View
  3. Lee H, Lim J, Nam H. Effect of a Digital Literacy Program on Older Adults’ Digital Social Behavior: A Quasi-Experimental Study. International Journal of Environmental Research and Public Health 2022;19(19):12404 View
  4. Lawson J, Wissing R, Henderson-Wilson C, Snell T, Chambers T, McNeil D, Nuttman S. Health empowerment scripts: Simplifying social/green prescriptions. Frontiers in Psychology 2022;13 View
  5. Kotera Y, Liu G, Colman R, Young H, Ozaki A, Miyatake H, Kosaka M, Tanimoto T. A longitudinal study of mental health in healthcare workers in Japan during the initial phase of COVID-19 pandemic: comparison with the general population. Current Psychology 2024;43(14):12934 View
  6. Oster C, Skelton C, Leibbrandt R, Hines S, Bonevski B. Models of social prescribing to address non-medical needs in adults: a scoping review. BMC Health Services Research 2023;23(1) View
  7. Hong J, Nam Y, Hong S, Roh H. Mediating effect of depressive symptoms on the relationship between digital literacy and cognitive function in older adults. Frontiers in Psychiatry 2023;14 View
  8. Pinto da Costa M, Aviron P. Comparing the views of mental health professionals and volunteers on volunteering in mental health care in the UK. Discover Health Systems 2023;2(1) View
  9. Chen R, Huang Q, Chen X, Gao J. Exploring the Deteriorating Effect of Social Media Affordances on Employees’ Altruistic Behavior: A Theoretical Lens of Social Comparison. International Journal of Human–Computer Interaction 2024:1 View
  10. Rafiei S, Honary M, Mezes B. Stakeholder views on addressing challenges to the implementation of social prescribing in the United Kingdom. Frontiers in Health Services 2024;4 View

Books/Policy Documents

  1. Dickson N, Caldwell N. Artificial Intelligence XLI. View