Published on in Vol 16, No 6 (2014): June

Smartphone-Enabled Health Coach Intervention for People With Diabetes From a Modest Socioeconomic Strata Community: Single-Arm Longitudinal Feasibility Study

Smartphone-Enabled Health Coach Intervention for People With Diabetes From a Modest Socioeconomic Strata Community: Single-Arm Longitudinal Feasibility Study

Smartphone-Enabled Health Coach Intervention for People With Diabetes From a Modest Socioeconomic Strata Community: Single-Arm Longitudinal Feasibility Study

Authors of this article:

Noah Wayne 1 Author Orcid Image ;   Paul Ritvo 1, 2, 3, 4, 5, 6 Author Orcid Image

Journals

  1. McCarthy S, O'Raghallaigh P, Woodworth S, Lim Y, Kenny L, Adam F. Embedding the Pillars of Quality in Health Information Technology Solutions Using “Integrated Patient Journey Mapping” (IPJM): Case Study. JMIR Human Factors 2020;7(3):e17416 View
  2. Mayberry L, Berg C, Harper K, Osborn C. The Design, Usability, and Feasibility of a Family-Focused Diabetes Self-Care Support mHealth Intervention for Diverse, Low-Income Adults with Type 2 Diabetes. Journal of Diabetes Research 2016;2016:1 View
  3. Spanakis E, Santana S, Tsiknakis M, Marias K, Sakkalis V, Teixeira A, Janssen J, de Jong H, Tziraki C. Technology-Based Innovations to Foster Personalized Healthy Lifestyles and Well-Being: A Targeted Review. Journal of Medical Internet Research 2016;18(6):e128 View
  4. Choo C, Burton A. Smartphone Apps for Mindfulness Interventions for Suicidality in Asian Youths: Literature Review. JMIR mHealth and uHealth 2018;6(6):e139 View
  5. Wu J, Ho T, Chang Y, Hsu C, Tsai C, Lai F, Lin M. Wearable-Based Mobile Health App in Gastric Cancer Patients for Postoperative Physical Activity Monitoring: Focus Group Study. JMIR mHealth and uHealth 2019;7(4):e11989 View
  6. Wu J, Yu H, Ho T, Su X, Lin M, Lai F. Tablet PC-enabled application intervention for patients with gastric cancer undergoing gastrectomy. Computer Methods and Programs in Biomedicine 2015;119(2):101 View
  7. Halimi S. Perspectives pour améliorer la prise en charge des patients diabétiques de type 2 sous insuline. Médecine des Maladies Métaboliques 2015;9(3):3S34 View
  8. Volkova E, Li N, Dunford E, Eyles H, Crino M, Michie J, Ni Mhurchu C. “Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials. JMIR mHealth and uHealth 2016;4(1):e23 View
  9. Koot D, Goh P, Lim R, Tian Y, Yau T, Tan N, Finkelstein E. A Mobile Lifestyle Management Program (GlycoLeap) for People With Type 2 Diabetes: Single-Arm Feasibility Study. JMIR mHealth and uHealth 2019;7(5):e12965 View
  10. Su D, McBride C, Zhou J, Kelley M. Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies. Journal of Telemedicine and Telecare 2016;22(6):333 View
  11. Runyan J, Steinke E. Virtues, ecological momentary assessment/intervention and smartphone technology. Frontiers in Psychology 2015;6 View
  12. Griffin N, Kehoe M. A questionnaire study to explore the views of people with multiple sclerosis of using smartphone technology for health care purposes. Disability and Rehabilitation 2018;40(12):1434 View
  13. Bollyky J, Melton S, Xu T, Painter S, Knox B. The Effect of a Cellular-Enabled Glucose Meter on Glucose Control for Patients With Diabetes: Prospective Pre-Post Study. JMIR Diabetes 2019;4(4):e14799 View
  14. Ritvo P, Obadia M, Santa Mina D, Alibhai S, Sabiston C, Oh P, Campbell K, McCready D, Auger L, Jones J. Smartphone-Enabled Health Coaching Intervention (iMOVE) to Promote Long-Term Maintenance of Physical Activity in Breast Cancer Survivors: Protocol for a Feasibility Pilot Randomized Controlled Trial. JMIR Research Protocols 2017;6(8):e165 View
  15. de Vasconcelos H, Lira Neto J, de Araújo M, Carvalho G, de Souza Teixeira C, de Freitas R, Damasceno M. Telecoaching programme for type 2 diabetes control: a randomised clinical trial. British Journal of Nursing 2018;27(19):1115 View
  16. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894 View
  17. Claudel S, Bertoni A. Exploring the Use of Personal Technology in Type 2 Diabetes Management Among Ethnic Minority Patients: Cross-Sectional Analysis of Survey Data from the Lifestyle Intervention for the Treatment of Diabetes Study (LIFT Diabetes). JMIR Diabetes 2018;3(1):e5 View
  18. Volkova E, Michie J, Corrigan C, Sundborn G, Eyles H, Jiang Y, Mhurchu C. Effectiveness of recruitment to a smartphone-delivered nutrition intervention in New Zealand: analysis of a randomised controlled trial. BMJ Open 2017;7(6):e016198 View
  19. de Garibay V, Fernández M, de la Torre-Díez I, López-Coronado M. Utility of a mHealth App for Self-Management and Education of Cardiac Diseases in Spanish Urban and Rural Areas. Journal of Medical Systems 2016;40(8) View
  20. Mayberry L, Harper K, Osborn C. Family behaviors and type 2 diabetes: What to target and how to address in interventions for adults with low socioeconomic status. Chronic Illness 2016;12(3):199 View
  21. Wu J, Tsai C, Ho T, Lai F, Tai H, Lin M. A Unified Framework for Automatic Detection of Wound Infection with Artificial Intelligence. Applied Sciences 2020;10(15):5353 View
  22. Choo C, Kuek J, Burton A. Smartphone Applications for Mindfulness Interventions with Suicidality in Asian Older Adults: A Literature Review. International Journal of Environmental Research and Public Health 2018;15(12):2810 View
  23. Wayne N, Perez D, Kaplan D, Ritvo P. Health Coaching Reduces HbA1c in Type 2 Diabetic Patients From a Lower-Socioeconomic Status Community: A Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(10):e224 View
  24. Wayne N, Cercone N, Li J, Zohar A, Katz J, Brown P, Ritvo P. Data Mining of a Remote Behavioral Tracking System for Type 2 Diabetes Patients: A Prospective Cohort Study. JMIR Diabetes 2016;1(1):e1 View
  25. Kato-Lin Y, Abhishek V, Downs J, Padman R. Food for Thought: The Impact of m-Health Enabled Interventions on Eating Behavior. SSRN Electronic Journal 2016 View
  26. Alibhai S, Ritvo P, Santa Mina D, Sabiston C, Krahn M, Tomlinson G, Matthew A, Lukka H, Warde P, Durbano S, O’Neill M, Culos-Reed S. Protocol for a phase III RCT and economic analysis of two exercise delivery methods in men with PC on ADT. BMC Cancer 2018;18(1) View
  27. Dugas M, Crowley K, Gao G, Xu T, Agarwal R, Kruglanski A, Steinle N, Barengo N. Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans. PLOS ONE 2018;13(3):e0192807 View
  28. Ritvo P, Daskalakis Z, Tomlinson G, Ravindran A, Linklater R, Kirk Chang M, Knyahnytska Y, Lee J, Alavi N, Bai S, Harber L, Jain T, Katz J. An Online Mindfulness-Based Cognitive Behavioral Therapy Intervention for Youth Diagnosed With Major Depressive Disorders: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(7):e11591 View
  29. Kim B, Lee J. Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review. JMIR mHealth and uHealth 2017;5(5):e69 View
  30. Mason A, Jhaveri K, Cohn M, Brewer J. Testing a mobile mindful eating intervention targeting craving-related eating: feasibility and proof of concept. Journal of Behavioral Medicine 2018;41(2):160 View
  31. Mayberry L, Lyles C, Oldenburg B, Osborn C, Parks M, Peek M. mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes. Current Diabetes Reports 2019;19(12) View
  32. Choo C, Burton A. Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review. JMIR mHealth and uHealth 2018;6(2):e18 View
  33. Boyle L, Grainger R, Hall R, Krebs J. Use of and Beliefs About Mobile Phone Apps for Diabetes Self-Management: Surveys of People in a Hospital Diabetes Clinic and Diabetes Health Professionals in New Zealand. JMIR mHealth and uHealth 2017;5(6):e85 View
  34. Verrucci E, Perez-Fuentes G, Rossetto T, Bisby L, Haklay M, Rush D, Rickles P, Fagg G, Joffe H. Digital engagement methods for earthquake and fire preparedness: a review. Natural Hazards 2016 View
  35. Atreja A, Otobo E, Ramireddy K, Deorocki A. Remote Patient Monitoring in IBD: Current State and Future Directions. Current Gastroenterology Reports 2018;20(2) View
  36. Olaniran A, Smith H, Unkels R, Bar-Zeev S, van den Broek N. Who is a community health worker? – a systematic review of definitions. Global Health Action 2017;10(1):1272223 View
  37. Mateo K, Berner N, Ricci N, Seekaew P, Sikerwar S, Tenner C, Dognin J, Sherman S, Kalet A, Jay M. Development of a 5As-based technology-assisted weight management intervention for veterans in primary care. BMC Health Services Research 2018;18(1) View
  38. Vorderstrasse A, Lewinski A, Melkus G, Johnson C. Social Support for Diabetes Self-Management via eHealth Interventions. Current Diabetes Reports 2016;16(7) View
  39. Payne H, Lister C, West J, Bernhardt J. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20 View
  40. Azevedo A, de Sousa H, Monteiro J, Lima A. Future perspectives of Smartphone applications for rheumatic diseases self-management. Rheumatology International 2015;35(3):419 View
  41. Weinmann T, Radon K, Sukalla F, Gerlich J, Barth S, Nowak D, Karnowski V. Developing an Awareness Campaign to Reduce Second Hand Smoke Among Disadvantaged Families—A Participatory M-Health Approach. International Journal of Environmental Research and Public Health 2018;15(9):1945 View
  42. Obro L, Heiselberg K, Krogh P, Handberg C, Ammentorp J, Pihl G, Osther P. Combining mHealth and health-coaching for improving self-management in chronic care. A scoping review. Patient Education and Counseling 2020 View
  43. Kirkland E, Marsden J, Zhang J, Schumann S, Bian J, Mauldin P, Moran W. Remote patient monitoring sustains reductions of hemoglobin A1c in underserved patients to 12 months. Primary Care Diabetes 2021 View
  44. Nilson J, Mulder K, Schachter C, Wittmeier K, Lomotey R, Arnold C, Oosman S. Perceived confidence for injury self‑management increases for young men with mild haemophilia with the use of the mobile app HIRT?. The Journal of Haemophilia Practice 2017;4(1):72 View
  45. Batch B, Spratt S, Blalock D, Benditz C, Weiss A, Dolor R, Cho A. General Behavioral Engagement and Changes in Clinical and Cognitive Outcomes of Patients with Type 2 Diabetes Using the Time2Focus Mobile App for Diabetes Education: Pilot Evaluation. Journal of Medical Internet Research 2021;23(1):e17537 View
  46. Markert C, Sasangohar F, Mortazavi B, Fields S. The Use of Telehealth Technology to Support Health Coaching for Older Adults: Literature Review. JMIR Human Factors 2021;8(1):e23796 View
  47. Gershkowitz B, Hillert C, Crotty B. Digital Coaching Strategies to Facilitate Behavioral Change in Type 2 Diabetes: A Systematic Review. The Journal of Clinical Endocrinology & Metabolism 2020 View
  48. Ritvo P, Knyahnytska Y, Pirboglou M, Wang W, Tomlinson G, Zhao H, Linklater R, Bai S, Kirk Chang M, Katz J, Harber L, Daskalakis Z. An Online Mindfulness-Based Cognitive Behavioral Therapy Intervention for Youth with Major Depressive Disorders: Results from a Randomized Controlled Trial (Preprint). Journal of Medical Internet Research 2020 View
  49. Sieczkowska S, de Lima A, Swinton P, Dolan E, Roschel H, Gualano B. Health Coaching Strategies for Weight Loss: A Systematic Review and Meta-Analysis. Advances in Nutrition 2020 View

Books/Policy Documents

  1. Betti D, Rossi L, Stara V, Tecchio E, Zanella G, Zancanaro M. Ambient Assisted Living. View
  2. Miah S. Handbook of Large-Scale Distributed Computing in Smart Healthcare. View
  3. Farmer A, Pal K. Diabetes Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. View
  4. Farmer A, Pal K. Diabetes. Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. View