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

Evaluation and Research Methodology for mHealth (160) Formative Studies and eHealth/mHealth Development (484) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (406) Usage Data and Process Outcomes in eHealth Trials (53) Text-messaging (SMS, WeChat etc)-Based Interventions (527) Focus Groups and Qualitative Research with Users (589) Health Services in Resource-Poor Settings and LMICs (290)

Published on in Vol 5 , No 4 (2017) :April

A Framework for the Study of Complex mHealth Interventions in Diverse Cultural Settings

A Framework for the Study of Complex mHealth Interventions in Diverse Cultural Settings

A Framework for the Study of Complex mHealth Interventions in Diverse Cultural Settings

Authors of this article:

Marion A Maar 1 Author Orcid Image ;   Karen Yeates 2 Author Orcid Image ;   Nancy Perkins 3 Author Orcid Image ;   Lisa Boesch 4 Author Orcid Image ;   Diane Hua-Stewart 3 Author Orcid Image ;   Peter Liu 5 Author Orcid Image ;   Jessica Sleeth 2 Author Orcid Image ;   Sheldon W Tobe 1, 3 Author Orcid Image
Article Authors Cited by (24) Tweetations (24) Metrics

Journals

  1. Tobe S, Yeates K, Campbell N, Maar M, Perkins N, Liu P, Sleeth J, McAllister C, Hua‐Stewart D, Wells G, Bernick J. Diagnosing hypertension in Indigenous Canadians (DREAM‐GLOBAL): A randomized controlled trial to compare the effectiveness of short message service messaging for management of hypertension: Main results. The Journal of Clinical Hypertension 2018 View
  2. Skar J, Garnweidner-Holme L, Lukasse M, Terragni L. Women's experiences with using a smartphone app (the Pregnant+ app) to manage gestational diabetes mellitus in a randomised controlled trial. Midwifery 2018;58:102 View
  3. Legrand K, Minary L, Briançon S. Exploration of the experiences, practices and needs of health promotion professionals when evaluating their interventions and programmes. Evaluation and Program Planning 2018;70:67 View
  4. Allan S, Mcleod H, Bradstreet S, Beedie S, Moir B, Gleeson J, Farhall J, Morton E, Gumley A. Understanding Implementation of a Digital Self-Monitoring Intervention for Relapse Prevention in Psychosis: Protocol for a Mixed Method Process Evaluation. JMIR Research Protocols 2019;8(12):e15634 View
  5. Garnweidner-Holme L, Hoel Andersen T, Sando M, Noll J, Lukasse M. Health Care Professionals’ Attitudes Toward, and Experiences of Using, a Culture-Sensitive Smartphone App for Women with Gestational Diabetes Mellitus: Qualitative Study. JMIR mHealth and uHealth 2018;6(5):e123 View
  6. Gudsoorkar P, Tobe S. Changing concepts in hypertension management. Journal of Human Hypertension 2017;31(12):763 View
  7. Maar M, Beaudin V, Yeates K, Boesch L, Liu P, Madjedi K, Perkins N, Hua-Stewart D, Beaudin F, Wabano M, Tobe S. Wise Practices for Cultural Safety in Electronic Health Research and Clinical Trials With Indigenous People: Secondary Analysis of a Randomized Clinical Trial. Journal of Medical Internet Research 2019;21(11):e14203 View
  8. Garnweidner-Holme L, Henriksen L, Flaathen E, Klette Bøhler T, Lukasse M. Midwives’ Attitudes Toward and Experience With a Tablet Intervention to Promote Safety Behaviors for Pregnant Women Reporting Intimate Partner Violence: Qualitative Study. JMIR mHealth and uHealth 2020;8(5):e16828 View
  9. Carbonnel F, Ninot G. Identifying Frameworks for Validation and Monitoring of Consensual Behavioral Intervention Technologies: Narrative Review. Journal of Medical Internet Research 2019;21(10):e13606 View
  10. Yeates K, Campbell N, Maar M, Perkins N, Liu P, Sleeth J, Smith C, McAllister C, Hua-Stewart D, Wells G, Tobe S. The Effectiveness of Text Messaging for Detection and Management of Hypertension in Indigenous People in Canada: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2017;6(12):e244 View
  11. Allan S, Bradstreet S, Mcleod H, Farhall J, Lambrou M, Gleeson J, Clark A, Gumley A. Developing a Hypothetical Implementation Framework of Expectations for Monitoring Early Signs of Psychosis Relapse Using a Mobile App: Qualitative Study. Journal of Medical Internet Research 2019;21(10):e14366 View
  12. Barsky J, Hunter R, McAllister C, Yeates K, Campbell N, Liu P, Perkins N, Hua-Stewart D, Maar M, Tobe S. Analysis of the Implementation, User Perspectives, and Feedback From a Mobile Health Intervention for Individuals Living With Hypertension (DREAM-GLOBAL): Mixed Methods Study. JMIR mHealth and uHealth 2019;7(12):e12639 View
  13. Isler J, Sawadogo N, Harling G, Bärnighausen T, Adam M, Kagoné M, Sié A, Greuel M, McMahon S. Iterative Adaptation of a Maternal Nutrition Videos mHealth Intervention Across Countries Using Human-Centered Design: Qualitative Study. JMIR mHealth and uHealth 2019;7(11):e13604 View
  14. Mengesha W, Steege R, Kea A, Theobald S, Datiko D. Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia?. Journal of Public Health 2018;40(suppl_2):ii74 View
  15. Limbani F, Goudge J, Joshi R, Maar M, Miranda J, Oldenburg B, Parker G, Pesantes M, Riddell M, Salam A, Trieu K, Thrift A, Van Olmen J, Vedanthan R, Webster R, Yeates K, Webster J. Process evaluation in the field: global learnings from seven implementation research hypertension projects in low-and middle-income countries. BMC Public Health 2019;19(1) View
  16. Brewer L, Hayes S, Caron A, Derby D, Breutzman N, Wicks A, Raman J, Smith C, Schaepe K, Sheets R, Jenkins S, Lackore K, Johnson J, Jones C, Radecki Breitkopf C, Cooper L, Patten C, Newton R. Promoting cardiovascular health and wellness among African-Americans: Community participatory approach to design an innovative mobile-health intervention. PLOS ONE 2019;14(8):e0218724 View
  17. Tzeng H, Okpalauwaekwe U, Lyons E. <p>Barriers and Facilitators to Older Adults Participating in Fall-Prevention Strategies After Transitioning Home from Acute Hospitalization: A Scoping Review</p>. Clinical Interventions in Aging 2020;Volume 15:971 View
  18. Jansen R, Reid M. Communication Technology Use by Caregivers of Adolescents With Mental Health Issues: Systematic Review. JMIR mHealth and uHealth 2020;8(8):e13179 View
  19. Jacklin K, Pitawanakwat K, Blind M, Lemieux A, Sobol A, Warry W. Peace of mind: A community-industry-academic partnership to adapt dementia technology for Anishinaabe communities on Manitoulin Island. Journal of Rehabilitation and Assistive Technologies Engineering 2020;7:205566832095832 View
  20. Nkhoma K, Ebenso B, Akeju D, Adejoh S, Bennett M, Chirenje M, Dandadzi A, Nabirye E, Namukwaya E, Namisango E, Okunade K, Salako O, Harding R, Allsop M. Stakeholder perspectives and requirements to guide the development of digital technology for palliative cancer services: a multi-country, cross-sectional, qualitative study in Nigeria, Uganda and Zimbabwe. BMC Palliative Care 2021;20(1) View
  21. von Huben A, Howell M, Howard K, Carrello J, Norris S. Health technology assessment for digital technologies that manage chronic disease: a systematic review. International Journal of Technology Assessment in Health Care 2021;37(1) View
  22. Weichelt B, VanWormer J, Xu Y, Kadolph C, Lin S. Lessons Learned from Development of a Mobile App for Cardiovascular Health Awareness. Sustainability 2021;13(11):5985 View
  23. Surendran S, Lim C, Koh G, Yew T, Tai E, Foong P. Women’s Usage Behavior and Perceived Usefulness with Using a Mobile Health Application for Gestational Diabetes Mellitus: Mixed-Methods Study. International Journal of Environmental Research and Public Health 2021;18(12):6670 View

Books/Policy Documents

  1. Gibbings R, Wickramasinghe N. Optimizing Health Monitoring Systems With Wireless Technology. View