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

Non-randomized Protocols and Methods (ehealth) (671) Participatory Design and Participatory Research (418) Prevention and Health Promotion (1362) User Needs and Competencies (456) Web-based and Mobile Health Interventions (4018) Health Care Quality and Health Services Research (337)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46371, first published .
Evaluating the Effectiveness of Rural Digital Social Prescribing in Korea: Protocol for a Cohort Study

Evaluating the Effectiveness of Rural Digital Social Prescribing in Korea: Protocol for a Cohort Study

Evaluating the Effectiveness of Rural Digital Social Prescribing in Korea: Protocol for a Cohort Study

Authors of this article:

Hocheol Lee1, 2 Author Orcid Image ;   Sang Baek Koh3 Author Orcid Image ;   Heui Sug Jo4 Author Orcid Image ;   Tae Ho Lee5 Author Orcid Image ;   Hae Kweun Nam3 Author Orcid Image ;   Bo Zhao2 Author Orcid Image ;   Subeen Lim2 Author Orcid Image ;   Joo Aeh Lim2 Author Orcid Image ;   Ho Hee Lee3 Author Orcid Image ;   Yu Seong Hwang4 Author Orcid Image ;   Dong Hyun Kim6 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Lee H, Kim Y, Chung M, Nam E. Effectiveness and strategies of social prescribing in Korea using a machine learning topic modeling. BMC Health Services Research 2025;25(1) View