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

Wearables and MHealth Viewpoints (79)

Published on in Vol 4, No 3 (2016): Jul-Sept

Taking mHealth Forward: Examining the Core Characteristics

Taking mHealth Forward: Examining the Core Characteristics

Taking mHealth Forward: Examining the Core Characteristics

Authors of this article:

Teaniese Latham Davis1 Author Orcid Image ;   Ralph DiClemente2 Author Orcid Image ;   Michael Prietula3 Author Orcid Image
Article Authors Cited by (63) Tweetations (37) Metrics

Journals

  1. Queirós A, Cerqueira M, Santos M, Rocha N. Mobile Health to Support Ageing in Place: A Synoptic Overview. Procedia Computer Science 2017;121:206 View
  2. Singh N, Chan J, Karazsia B, McPherson C, Jackman M. Tele-health training of teachers to teach a mindfulness-based procedure for self-management of aggressive behavior to students with intellectual and developmental disabilities. International Journal of Developmental Disabilities 2017;63(4):195 View
  3. Holzmann S, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31 View
  4. Liang D, Han H, Du J, Zhao M, Hser Y. A pilot study of a smartphone application supporting recovery from drug addiction. Journal of Substance Abuse Treatment 2018;88:51 View
  5. Rodríguez Mariblanca M, Cano de la Cuerda R. Aplicaciones móviles en la parálisis cerebral infantil. Neurología 2021;36(2):135 View
  6. Tawalbeh L, Mehmood R, Benkhlifa E, Song H. Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications. IEEE Access 2016;4:6171 View
  7. Jansen R, Reid M. Interest in Communication Technology by Rural Caregivers of Adolescents with Mental Health Issues in South Africa: The Mmogo-Method®. Issues in Mental Health Nursing 2021;42(1):24 View
  8. Jegundo A, Dantas C, Quintas J, Dutra J, Almeida A, Caravau H, Rosa A, Martins A, Pacheco Rocha N. Perceived Usefulness, Satisfaction, Ease of Use and Potential of a Virtual Companion to Support the Care Provision for Older Adults. Technologies 2020;8(3):42 View
  9. Sims M, Hodges Shaw M, Gilbertson S, Storch J, Halterman M. Legal and ethical issues surrounding the use of crowdsourcing among healthcare providers. Health Informatics Journal 2019;25(4):1618 View
  10. 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
  11. Paglialonga A, Lugo A, Santoro E. An overview on the emerging area of identification, characterization, and assessment of health apps. Journal of Biomedical Informatics 2018;83:97 View
  12. Sohaib Aslam A, van Luenen S, Aslam S, van Bodegom D, Chavannes N. A systematic review on the use of mHealth to increase physical activity in older people. Clinical eHealth 2020;3:31 View
  13. Bonner A, Gillespie K, Campbell K, Corones-Watkins K, Hayes B, Harvie B, Kelly J, Havas K. Evaluating the prevalence and opportunity for technology use in chronic kidney disease patients: a cross-sectional study. BMC Nephrology 2018;19(1) View
  14. Wellbeloved-Stone C, Weppner J, Valdez R. A Systematic Review of Telerehabilitation and mHealth Interventions for Spinal Cord Injury. Current Physical Medicine and Rehabilitation Reports 2016;4(4):295 View
  15. Liu H, Xiao X, Lu C, Ling D, Wei R. A systematic review of the effect of mobile health on cardiac rehabilitation among coronary heart disease patients. Frontiers of Nursing 2018;5(3):217 View
  16. Inupakutika D, Kaghyan S, Akopian D, Chalela P, Ramirez A. Facilitating the development of cross-platform mHealth applications for chronic supportive care and a case study. Journal of Biomedical Informatics 2020;105:103420 View
  17. Mrklas K, Barber T, Campbell-Scherer D, Green L, Li L, Marlett N, Miller J, Shewchuk B, Teare S, Wasylak T, Marshall D. Co-Design in the Development of a Mobile Health App for the Management of Knee Osteoarthritis by Patients and Physicians: Qualitative Study. JMIR mHealth and uHealth 2020;8(7):e17893 View
  18. Goetz M, Müller M, Matthies L, Hansen J, Doster A, Szabo A, Pauluschke-Fröhlich J, Abele H, Sohn C, Wallwiener M, Wallwiener S. Perceptions of Patient Engagement Applications During Pregnancy: A Qualitative Assessment of the Patient’s Perspective. JMIR mHealth and uHealth 2017;5(5):e73 View
  19. Rodríguez Mariblanca M, Cano de la Cuerda R. Mobile applications in children with cerebral palsy. Neurología (English Edition) 2021;36(2):135 View
  20. Bjerkan J, Kane B, Uhrenfeldt L, Veie M, Fossum M. Citizen-Patient Involvement in the Development of mHealth Technology: Protocol for a Systematic Scoping Review. JMIR Research Protocols 2020;9(8):e16781 View
  21. Heidel A, Hagist C. Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review. JMIR mHealth and uHealth 2020;8(9):e16444 View
  22. Davis T, DiClemente R, Prietula M. Using ADAPT-ITT to Modify a Telephone-Based HIV Prevention Intervention for SMS Delivery: Formative Study. JMIR Formative Research 2020;4(10):e22485 View
  23. Puigdomenech E, Martin A, Lang A, Adorni F, Gomez S, McKinstry B, Prinelli F, Condon L, Rashid R, Caon M, Atkinson S, Lafortuna C, Ciociola V, Hanley J, McCloughan L, Castell C, Espallargues M, Carrion C, Puigdomenech E, Becker T, Dunwell I, Bul K, Camarenti M, Crespi C, Jesuthasan N, Lafortuna C, Modoni G, Rizzo G, Sacco M, Sojic A, Tabozzi S, Grossenbacher O, Lemay M, Calvo E, Miralles F, Orte S, Solà M, Velickovski F, Brivio M, Guarneri M, Angelini L, Carrino S, Mugellini E, Delaini C, Morosini D, Decandia M, Facchinetti S, Migliavacca A, Mura S, Bianchi L, Mazzola M, Repetti S, Andreoni G, Mazzola A, Perego P, Standoli C, Candea C, Candea G, Azzolini M, Bianconi L, Costacurta M, Degano C, Podda F, Ascolese A, Pannese L, Laird Y, Scott G, Serrano J, Cobb S, Coulson N, Langley A. Promoting healthy teenage behaviour across three European countries through the use of a novel smartphone technology platform, PEGASO fit for future: study protocol of a quasi-experimental, controlled, multi-Centre trial. BMC Medical Informatics and Decision Making 2019;19(1) View
  24. Granja C, Janssen W, Johansen M. Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature. Journal of Medical Internet Research 2018;20(5):e10235 View
  25. Steele R. The Utilization of the Internet of Things for a Learning Health System. International Journal of Future Computer and Communication 2017;6(4):148 View
  26. Turnbull A, Sculley D, Escalona-Marfil C, Riu-Gispert L, Ruiz-Moreno J, Gironès X, Coda A. Comparison of a Mobile Health Electronic Visual Analog Scale App With a Traditional Paper Visual Analog Scale for Pain Evaluation: Cross-Sectional Observational Study. Journal of Medical Internet Research 2020;22(9):e18284 View
  27. Rocha N, Rodrigues dos Santos M, Cerqueira M, Queirós A. Mobile Health to Support Ageing in Place. International Journal of E-Health and Medical Communications 2019;10(3):1 View
  28. Zeeb H, Pigeot I, Schüz B. Digital Public Health – ein Überblick. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):137 View
  29. Dick S, O’Connor Y, Heavin C. Approaches to Mobile Health Evaluation: A Comparative Study. Information Systems Management 2020;37(1):75 View
  30. Marques B, McIntosh J, Valera A, Gaddam A. Innovative and Assistive eHealth Technologies for Smart Therapeutic and Rehabilitation Outdoor Spaces for the Elderly Demographic. Multimodal Technologies and Interaction 2020;4(4):76 View
  31. Berendes S, Gubijev A, McCarthy O, Palmer M, Wilson E, Free C. Sexual health interventions delivered to participants by mobile technology: a systematic review and meta-analysis of randomised controlled trials. Sexually Transmitted Infections 2021;97(3):190 View
  32. Wijeratne T, Gillard Crewther S, Sales C, Karimi L. COVID-19 Pathophysiology Predicts That Ischemic Stroke Occurrence Is an Expectation, Not an Exception—A Systematic Review. Frontiers in Neurology 2021;11 View
  33. King A, Pádua M, Gonçalves L, Santana de Souza Martins A, Nardi A. Smartphone use by health professionals: A review. DIGITAL HEALTH 2020;6 View
  34. Yakubu A, Paloji F, Bonnet J, Wetter T. Development of an Instrument for Assessing the Maturity of Citizens for Consumer Health Informatics in Developing Countries: The Case of Chile, Ghana, and Kosovo. Methods of Information in Medicine 2021;60(01/02):062 View
  35. Woolf T, Goheer A, Holzhauer K, Martinez J, Coughlin J, Martin L, Zhao D, Song S, Ahmad Y, Sokolinskyi K, Remayeva T, Clark J, Bennett W, Lehmann H. Development of a Mobile App for Ecological Momentary Assessment of Circadian Data: Design Considerations and Usability Testing. JMIR Formative Research 2021;5(7):e26297 View
  36. Robbins R, Weaver M, Quan S, Sullivan J, Qadri S, Glasner L, Cohen-Zion M, Czeisler C, Barger L. Evaluating the impact of a sleep health education and a personalised smartphone application on sleep, productivity and healthcare utilisation among employees: results of a randomised clinical trial. BMJ Open 2022;12(9):e062121 View
  37. Robbins R, Weaver M, Quan S, Sullivan J, Cohen-Zion M, Glasner L, Qadri S, Czeisler C, Barger L, Penzel T. A clinical trial to evaluate the dayzz smartphone app on employee sleep, health, and productivity at a large US employer. PLOS ONE 2022;17(1):e0260828 View
  38. Ogundaini O, de la Harpe R. The Interplay Between Technology Performativity and Health Care Professionals in Hospital Settings: Service Design Approach. JMIR Formative Research 2022;6(1):e23236 View
  39. Istepanian R. Mobile Health (m-Health) in Retrospect: The Known Unknowns. International Journal of Environmental Research and Public Health 2022;19(7):3747 View
  40. Seiterö A, Thomas K, Löf M, Müssener U. Exploring the Black Box of an mHealth Intervention (LIFE4YOUth): A Qualitative Process and Outcome Evaluation of End-User Engagement. International Journal of Environmental Research and Public Health 2022;19(21):14022 View
  41. Wienert J, Jahnel T, Maaß L. What are Digital Public Health Interventions? First Steps Toward a Definition and an Intervention Classification Framework. Journal of Medical Internet Research 2022;24(6):e31921 View
  42. Morelli D, Rubinstein F, Santero M, Gibbons L, Moyano D, Nejamis A, Beratarrechea A. Effectiveness of a diabetes program based on digital health on capacity building and quality of care in type 2 diabetes: a pragmatic quasi-experimental study. BMC Health Services Research 2023;23(1) View
  43. Alghamdi A, Bitar H. The positive impact of gamification in imparting nutritional knowledge and combating childhood obesity: A systematic review on the recent solutions. DIGITAL HEALTH 2023;9 View
  44. Wang T, Stanforth P, Fleming R, Wolf Jr J, Stanforth D, Tanaka H. A Mobile App With Multimodality Prehabilitation Programs for Patients Awaiting Elective Surgery: Development and Usability Study. JMIR Perioperative Medicine 2021;4(2):e32575 View
  45. Quach S. Que nous réservent les applis de santé mobile en réadaptation – se concentrer sur l’évaluation de la qualité. Physiotherapy Canada 2024;76(2):160 View
  46. Quach S. What’s Next in MHealth Apps in Rehabilitation: Re-Directing Our Attention to Evaluating Quality. Physiotherapy Canada 2024;76(2):157 View
  47. Collombon E, Bolman C, de Bruijn G, Peels D, Verboon P, Lechner L. The efficacy of online physical activity interventions with added mobile elements within adults aged 50 years and over: Randomized controlled trial. Applied Psychology: Health and Well-Being 2024;16(4):1921 View
  48. Onstwedder S, Jansen M, Cornel M, Rigter T. Policy Guidance for Direct-to-Consumer Genetic Testing Services: Framework Development Study. Journal of Medical Internet Research 2024;26:e47389 View
  49. Hach S, Alder G, Stavric V, Taylor D, Signal N. Usability Assessment Methods for Mobile Apps for Physical Rehabilitation: Umbrella Review. JMIR mHealth and uHealth 2024;12:e49449 View
  50. Oluokun E, Adedoyin F, Dogan H, Jiang N. Digital Interventions for Managing Medication and Health Care Service Delivery in West Africa: Systematic Review. Journal of Medical Internet Research 2024;26:e44294 View
  51. Berger M, Deblock-Bellamy A, Chèze L, Robert T, Desrosiers J, Christe G, Bertrand A. Exploring the Needs of People With Chronic Low Back Pain and Health Care Professionals for mHealth Devices to Support Self-Managed Physical Activity and Pain: User-Centered Design Approach. JMIR Human Factors 2024;11:e59897 View

Books/Policy Documents

  1. Tariq A, Durrani S. mHealth Innovation in Asia. View
  2. Paglialonga A, Mastropietro A, Scalco E, Rizzo G. m_Health Current and Future Applications. View
  3. Abdul Aleem Baig M. Contemporary Developments and Perspectives in International Health Security - Volume 1. View
  4. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. View
  5. Song T, Yu P. Encyclopedia of Gerontology and Population Aging. View
  6. Song T, Yu P. Encyclopedia of Gerontology and Population Aging. View
  7. McGrowder D, Miller F, Brown J, Wilson-Clarke C, Anderson-Jackson L. Diagnostic Applications of Health Intelligence and Surveillance Systems. View
  8. Biswas U, Goh C, Ooi S, Lim E, Redmond S, Lovell N. Digital Health. View
  9. Rocha N, Rodrigues dos Santos M, Cerqueira M, Queirós A. Research Anthology on Supporting Healthy Aging in a Digital Society. View
  10. Kodama K. Mobile Health (mHealth). View
  11. Song T, Yu P. Encyclopedia of Gerontology and Population Aging. View
  12. Holzapfel C. Adipositas. View