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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) User Training and Skills (51) Mobile Devices and Apps for Seniors and Healthy Aging (177)

Published on in Vol 6, No 6 (2018): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9988, first published .
Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study

Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study

Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study

Authors of this article:

Heejung Kim1, 2 Author Orcid Image ;   Eunhee Park3 Author Orcid Image ;   Sangeun Lee1 Author Orcid Image ;   Mijung Kim4 Author Orcid Image ;   Eun Jeong Park5 Author Orcid Image ;   Soyun Hong1 Author Orcid Image
Article Authors Cited by (12) Tweetations (5) Metrics

Journals

  1. Kim H, Lee S, Cho N, You H, Choi T, Kim J. User-Dependent Usability and Feasibility of a Swallowing Training mHealth App for Older Adults: Mixed Methods Pilot Study. JMIR mHealth and uHealth 2020;8(7):e19585 View
  2. Lee J, Kang M, Lee S. Effects of the e-Motivate4Change Program on Metabolic Syndrome in Young Adults Using Health Apps and Wearable Devices: Quasi-Experimental Study. Journal of Medical Internet Research 2020;22(7):e17031 View
  3. Kim H, Kim S, Kong S, Jeong Y, Kim H, Kim N. Possible Application of Ecological Momentary Assessment to Older Adults’ Daily Depressive Mood: Integrative Literature Review. JMIR Mental Health 2020;7(6):e13247 View
  4. Park E, Kwon M. Testing the Digital Health Literacy Instrument for Adolescents: Cognitive Interviews. Journal of Medical Internet Research 2021;23(3):e17856 View
  5. Chen Z, Qi H, Wang L. Study on the Types of Elderly Intelligent Health Management Technology and the Influencing Factors of Its Adoption. Healthcare 2021;9(11):1494 View
  6. Tian H, Chen J. A bibliometric analysis on global eHealth. DIGITAL HEALTH 2022;8:205520762210913 View
  7. Hong S, Lee S, Song K, Kim M, Kim Y, Kim H, Kim H. A nurse-led mHealth intervention to alleviate depressive symptoms in older adults living alone in the community: A quasi-experimental study. International Journal of Nursing Studies 2023;138:104431 View
  8. Kim H, Lee K, Lee J, Youk H, Lee H. The Effect of a Mobile and Wearable Device Intervention on Increased Physical Activity to Prevent Metabolic Syndrome: Observational Study. JMIR mHealth and uHealth 2022;10(2):e34059 View
  9. Cuevas-Castro C, Valencia-Falcón T, Rangel-Colmenero B. Uso de aplicaciones móviles en la actividad física: teoría de la tecnología persuasiva. Revista Ciencia UANL 2024;27(127):8 View
  10. Zeng K, Dong L, Xu Y, Zheng X. Exploring observed and instructed mHealth use in the middle-aged and elderly people (MAEP): A social learning perspective. DIGITAL HEALTH 2024;10 View
  11. Aranda-Sánchez D, Sanhueza-Alvarado O, Tíscar-González V, Gutiérrez-Valverde J. Modelo de cuidados crónicos sustentado en la salud digital: un análisis para investigación en enfermedad cardiovascular. Enfermería Universitaria 2023;19(1):90 View
  12. Fu Y, Xu C, Cho S. Technology Characteristics for Sustainable Service Development in Intelligent Elderly Care Services. Sustainability 2024;16(23):10712 View