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

Wearables and MHealth Viewpoints (75) Mobile Health (mhealth) (2748) Evaluation and Research Methodology for mHealth (193)

Published on in Vol 5, No 5 (2017): May

mHealth Assessment: Conceptualization of a Global Framework

mHealth Assessment: Conceptualization of a Global Framework

mHealth Assessment: Conceptualization of a Global Framework

Authors of this article:

Meghan Bradway1, 2 Author Orcid Image ;   Carme Carrion3, 4, 5 Author Orcid Image ;   Bárbara Vallespin6 Author Orcid Image ;   Omid Saadatfard1 Author Orcid Image ;   Elisa Puigdomènech7 Author Orcid Image ;   Mireia Espallargues5, 7 Author Orcid Image ;   Anna Kotzeva7, 8 Author Orcid Image
Article Authors Cited by (87) Tweetations (29) Metrics

Journals

  1. Timotijevic L, Hodgkins C, Banks A, Rusconi P, Egan B, Peacock M, Seiss E, Touray M, Gage H, Pellicano C, Spalletta G, Assogna F, Giglio M, Marcante A, Gentile G, Cikajlo I, Gatsios D, Konitsiotis S, Fotiadis D. Designing a mHealth clinical decision support system for Parkinson’s disease: a theoretically grounded user needs approach. BMC Medical Informatics and Decision Making 2020;20(1) View
  2. Jimenez P, Bregenzer A. Integration of eHealth Tools in the Process of Workplace Health Promotion: Proposal for Design and Implementation. Journal of Medical Internet Research 2018;20(2):e65 View
  3. Dick S, O'Connor Y, Thompson M, O'Donoghue J, Hardy V, Wu T, O'Sullivan T, Chirambo G, Heavin C. Considerations for Improved Mobile Health Evaluation: Retrospective Qualitative Investigation. JMIR mHealth and uHealth 2020;8(1):e12424 View
  4. Faezipour M, Abuzneid A. Smartphone-Based Self-Testing of COVID-19 Using Breathing Sounds. Telemedicine and e-Health 2020;26(10):1202 View
  5. 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
  6. Wattanapisit A, Teo C, Wattanapisit S, Teoh E, Woo W, Ng C. Can mobile health apps replace GPs? A scoping review of comparisons between mobile apps and GP tasks. BMC Medical Informatics and Decision Making 2020;20(1) View
  7. Zhang J, Tüshaus L, Nuño Martínez N, Moreo M, Verastegui H, Hartinger S, Mäusezahl D, Karlen W. Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis. JMIR mHealth and uHealth 2018;6(12):e11896 View
  8. Mira J. Tecnologías móviles e inalámbricas para cuidar nuestra salud. Journal of Healthcare Quality Research 2018;33(4):183 View
  9. Pires I, Marques G, Garcia N, Flórez-Revuelta F, Ponciano V, Oniani S. A Research on the Classification and Applicability of the Mobile Health Applications. Journal of Personalized Medicine 2020;10(1):11 View
  10. Larbi D, Randine P, Årsand E, Antypas K, Bradway M, Gabarron E. Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review. Journal of Medical Internet Research 2020;22(7):e18480 View
  11. Albrecht U, Kuhn B, Land J, Amelung V, von Jan U. Nutzenbewertung von digitalen Gesundheitsprodukten (Digital Health) im gesellschaftlichen Erstattungskontext. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2018;61(3):340 View
  12. Lecomte T, Potvin S, Corbière M, Guay S, Samson C, Cloutier B, Francoeur A, Pennou A, Khazaal Y. Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses. JMIR mHealth and uHealth 2020;8(5):e17458 View
  13. Krishnan G, Selvam G. Factors influencing the download of mobile health apps: Content review-led regression analysis. Health Policy and Technology 2019;8(4):356 View
  14. Puigdomenech Puig E, Robles N, Saigí-Rubió F, Zamora A, Moharra M, Paluzie G, Balfegó M, Cuatrecasas Cambra G, Garcia-Lorda P, Carrion C. Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review. JMIR mHealth and uHealth 2019;7(10):e12612 View
  15. Zamberg I, Windisch O, Agoritsas T, Nendaz M, Savoldelli G, Schiffer E. A Mobile Medical Knowledge Dissemination Platform (HeadToToe): Mixed Methods Study. JMIR Medical Education 2020;6(1):e17729 View
  16. Lygidakis C, Uwizihiwe J, Kallestrup P, Bia M, Condo J, Vögele C. Community- and mHealth-based integrated management of diabetes in primary healthcare in Rwanda (D²Rwanda): the protocol of a mixed-methods study including a cluster randomised controlled trial. BMJ Open 2019;9(7):e028427 View
  17. Faezipour M, Faezipour M. Sustainable Smartphone-Based Healthcare Systems: A Systems Engineering Approach to Assess the Efficacy of Respiratory Monitoring Apps. Sustainability 2020;12(12):5061 View
  18. Hobson G, Caffery L, Neuhaus M, Langbecker D. Mobile Health for First Nations Populations: Systematic Review. JMIR mHealth and uHealth 2019;7(10):e14877 View
  19. Pereira A, Destro J, Picinin Bernuci M, Garcia L, Rodrigues Lucena T. Effects of a WhatsApp-Delivered Education Intervention to Enhance Breast Cancer Knowledge in Women: Mixed-Methods Study. JMIR mHealth and uHealth 2020;8(7):e17430 View
  20. Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for overweight or obese adolescents and adults. Cochrane Database of Systematic Reviews 2020 View
  21. Robles N, Puigdomènech Puig E, Gómez-Calderón C, Saigí-Rubió F, Cuatrecasas Cambra G, Zamora A, Moharra M, Paluzié G, Balfegó M, Carrion C. Evaluation Criteria for Weight Management Apps: Validation Using a Modified Delphi Process. JMIR mHealth and uHealth 2020;8(7):e16899 View
  22. Wilson K, Bell C, Wilson L, Witteman H. Agile research to complement agile development: a proposal for an mHealth research lifecycle. npj Digital Medicine 2018;1(1) View
  23. Albrecht U, Malinka C, Long S, Raupach T, Hasenfuß G, von Jan U. Quality Principles of App Description Texts and Their Significance in Deciding to Use Health Apps as Assessed by Medical Students: Survey Study. JMIR mHealth and uHealth 2019;7(2):e13375 View
  24. Kolasa K, Kozinski G. How to Value Digital Health Interventions? A Systematic Literature Review. International Journal of Environmental Research and Public Health 2020;17(6):2119 View
  25. Bard D, Joseph J, van Helmond N. Cuff-Less Methods for Blood Pressure Telemonitoring. Frontiers in Cardiovascular Medicine 2019;6 View
  26. Boodoo C, Perry J, Hunter P, Duta D, Newhook S, Leung G, Cross K. Views of Patients on Using mHealth to Monitor and Prevent Diabetic Foot Ulcers: Qualitative Study. JMIR Diabetes 2017;2(2):e22 View
  27. Lee H, Kim J, Na K, Park H, Han J, Pak Y, Nam B, Pae C, Lee J, Lim T, Lee D. The role of telehealth counselling with mobile self-monitoring on blood pressure reduction among overseas Koreans with high blood pressure in Vietnam. Journal of Telemedicine and Telecare 2019;25(4):241 View
  28. Gabel P, Kirkegaard P, Larsen M, Edwards A, Andersen B. Developing a Self-Administered Decision Aid for Fecal Immunochemical Test–Based Colorectal Cancer Screening Tailored to Citizens With Lower Educational Attainment: Qualitative Study. JMIR Formative Research 2018;2(1):e9 View
  29. Osei E, Kuupiel D, Mashamba-Thompson T. Availability and use of mHealth for disease diagnosis and treatment support by health workers in sub-Saharan Africa: a scoping review protocol. BMJ Open 2020;10(10):e036641 View
  30. Bruce C, Harrison P, Giammattei C, Desai S, Sol J, Jones S, Schwartz R. Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes. JMIR mHealth and uHealth 2020;8(11):e17577 View
  31. Rantala A, Jansson M, Helve O, Lahdenne P, Pikkarainen M, Pölkki T. Parental Experiences of the Pediatric Day Surgery Pathway and the Needs for a Digital Gaming Solution: Qualitative Study. JMIR Medical Informatics 2020;8(11):e23626 View
  32. Díaz J, Codern-Bové N, Zomeño M, Lassale C, Schröder H, Grau M. Quantitative and qualitative evaluation of the COMPASS mobile app: a citizen science project. Informatics for Health and Social Care 2021;46(4):412 View
  33. Zhu M, Wu C, Huang S, Zheng K, Young S, Yan X, Yuan Q. Privacy paradox in mHealth applications: An integrated elaboration likelihood model incorporating privacy calculus and privacy fatigue. Telematics and Informatics 2021;61:101601 View
  34. Faezipour M, Faezipour M. Efficacy of Smart EEG Monitoring Amidst the COVID-19 Pandemic. Electronics 2021;10(9):1001 View
  35. Chelberg G, Neuhaus M, Mothershaw A, Mahoney R, Caffery L. Mobile apps for dementia awareness, support, and prevention – review and evaluation. Disability and Rehabilitation 2022;44(17):4909 View
  36. Escobar-Viera C, Cernuzzi L, Miller R, Rodríguez-Marín H, Vieta E, González Toñánez M, Marsch L, Hidalgo-Mazzei D. Feasibility of mHealth interventions for depressive symptoms in Latin America: a systematic review. International Review of Psychiatry 2021;33(3):300 View
  37. Faezipour M, Faezipour M. System Dynamics Modeling for Smartphone-Based Healthcare Tools: Case Study on ECG Monitoring. IEEE Systems Journal 2021;15(2):3036 View
  38. Aljedaani B, Babar M. Challenges With Developing Secure Mobile Health Applications: Systematic Review. JMIR mHealth and uHealth 2021;9(6):e15654 View
  39. Minen M, Stieglitz E. Wearables for Neurologic Conditions. Neurology Clinical Practice 2021;11(4) View
  40. Berge L, Gedde M, Torrado Vidal J, Husebo B, Hynninen K, Knardal S, Madsø K. The acceptability, adoption, and feasibility of a music application developed using participatory design for home-dwelling persons with dementia and their caregivers. The “Alight” app in the LIVE@Home.Path trial. Frontiers in Psychiatry 2022;13 View
  41. Hoogendoorn P, Versluis A, van Kampen S, McCay C, Leahy M, Bijlsma M, Bonacina S, Bonten T, Bonthuis M, Butterlin A, Cobbaert K, Duijnhoven T, Hallensleben C, Harrison S, Hastenteufel M, Holappa T, Kokx B, Morlion B, Pauli N, Ploeg F, Salmon M, Schnoor K, Sharp M, Sottile P, Värri A, Williams P, Heidenreich G, Oughtibridge N, Stegwee R, Chavannes N. What Makes a Quality Health App—Developing a Global Research-Based Health App Quality Assessment Framework for CEN-ISO/TS 82304-2: Delphi Study. JMIR Formative Research 2023;7:e43905 View
  42. Cozad M, Crum M, Tyson H, Fleming P, Stratton J, Kennedy A, Lindley L, Horner R. Mobile Health Apps for Patient-Centered Care: Review of United States Rheumatoid Arthritis Apps for Engagement and Activation. JMIR mHealth and uHealth 2022;10(12):e39881 View
  43. Addotey-Delove M, Scott R, Mars M. The development of an instrument to predict patients’ adoption of mHealth in the developing world. Informatics in Medicine Unlocked 2022;29:100898 View
  44. Chapel B, Alexandre F, Heraud N, Ologeanu-Taddei R, Cases A, Bughin F, Hayot M. Standardization of the assessment process within telerehabilitation in chronic diseases: a scoping meta-review. BMC Health Services Research 2022;22(1) View
  45. Leong Q, Sridhar S, Blasiak A, Tadeo X, Yeo G, Remus A, Ho D. Characteristics of Mobile Health Platforms for Depression and Anxiety: Content Analysis Through a Systematic Review of the Literature and Systematic Search of Two App Stores. Journal of Medical Internet Research 2022;24(2):e27388 View
  46. Manzano-Monfort G, Paluzie G, Díaz-Gegúndez M, Chabrera C. Usability of a mobile application for health professionals in home care services: a user-centered approach. Scientific Reports 2023;13(1) View
  47. Ferret J, Branco B, Santos L, Rocco F, Bernuci M. WhatsApp-assisted health education intervention. International Journal for Innovation Education and Research 2021;9(9):56 View
  48. Ezezika O, Varatharajan C, Racine S, Ameyaw E. The implementation of a maternal mHealth project in South Africa: Lessons for taking mHealth innovations to scale. African Journal of Science, Technology, Innovation and Development 2022;14(7):1798 View
  49. McCool J, Dobson R, Whittaker R, Paton C. Mobile Health (mHealth) in Low- and Middle-Income Countries. Annual Review of Public Health 2022;43(1):525 View
  50. Wu C, Zhou Y, Wang R, Huang S, Yuan Q. Understanding the Mechanism Between IT Identity, IT Mindfulness and Mobile Health Technology Continuance Intention: An Extended Expectation Confirmation Model. Technological Forecasting and Social Change 2022;176:121449 View
  51. Bola R, Ujoh F, Ukah U, Lett R. Assessment and validation of the Community Maternal Danger Score algorithm. Global Health Research and Policy 2022;7(1) View
  52. Alhussein G, Hadjileontiadis L. Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e32557 View
  53. Cervantes‐Torres L, Romero‐Blanco C. Longitudinal study of the flash glucose monitoring system in type 1 diabetics: An mHealth ally in times of COVID‐19. Journal of Clinical Nursing 2023;32(13-14):3840 View
  54. Jacob C, Lindeque J, Klein A, Ivory C, Heuss S, Peter M. Assessing the Quality and Impact of eHealth Tools: Systematic Literature Review and Narrative Synthesis. JMIR Human Factors 2023;10:e45143 View
  55. Malinka C, Dittrich F, Back D, Ansorg J, von Jan U, Albrecht U. Orthopaedic and trauma surgeons’ prioritisation of app quality principles based on their demographic background. BMC Musculoskeletal Disorders 2023;24(1) View
  56. Sujarwoto S, Augia T, Dahlan H, Sahputri R, Holipah H, Maharani A. COVID-19 Mobile Health Apps: An Overview of Mobile Applications in Indonesia. Frontiers in Public Health 2022;10 View
  57. França C, Santos F, Martins F, Lopes H, Gouveia B, Gonçalves F, Campos P, Marques A, Ihle A, Gonçalves T, Gouveia É. Digital Health in Schools: A Systematic Review. Sustainability 2022;14(21):13848 View
  58. El Joueidi S, Bardosh K, Musoke R, Tilahun B, Abo Moslim M, Gourlay K, MacMullin A, Cook V, Murray M, Mbaraga G, Nsanzimana S, Lester R. Evaluation of the implementation process of the mobile health platform ‘WelTel’ in six sites in East Africa and Canada using the modified consolidated framework for implementation research (mCFIR). BMC Medical Informatics and Decision Making 2021;21(1) View
  59. Brenner M, Weir A, McCann M, Doyle C, Hughes M, Moen A, Ingvar M, Nauwelaerts K, Turk E, McCabe C. Development of the key performance indicators for digital health interventions: A scoping review. DIGITAL HEALTH 2023;9:205520762311521 View
  60. Walsh T, Warnakulasuriya S, Lingen M, Kerr A, Ogden G, Glenny A, Macey R. Clinical assessment for the detection of oral cavity cancer and potentially malignant disorders in apparently healthy adults. Cochrane Database of Systematic Reviews 2021;2021(12) View
  61. Nogueira F, Martins R, Nery E, Silva A. A systematic search and assessment of the quality and characterisation of free mobile applications targeting knee pain. Musculoskeletal Care 2023;21(1):212 View
  62. Lavender T, Smyth R, Chimwaza A, Mills T, Dwan K. Mobile health (m-health) technological support for women during pregnancy or the first six weeks postpartum, or both. Cochrane Database of Systematic Reviews 2023;2023(3) View
  63. Crawford A, Hutson T, Kim M. Mobile Health Applications Addressing Health Disparities for Women on Community Supervision: A Scoping Review. Substance Use & Misuse 2023;58(6):765 View
  64. Nagino K, Inomata T, Nakamura M, Sung J, Midorikawa-Inomata A, Iwagami M, Fujio K, Akasaki Y, Okumura Y, Huang T, Fujimoto K, Eguchi A, Miura M, Hurramhon S, Zhu J, Ohno M, Hirosawa K, Morooka Y, Dana R, Murakami A, Kobayashi H. Symptom-based stratification algorithm for heterogeneous symptoms of dry eye disease: a feasibility study. Eye 2023;37(16):3484 View
  65. Kornacka M, Jaskulska A, Skorupska K, Szastok M, Nadziejko M, Kopeć W. A solution for creating dynamic networks of symptoms in cognitive-behavioral functional analysis and therapy – participatory design protocol. Mental Health and Social Inclusion 2023;27(2):167 View
  66. Aboye G, Vande Walle M, Simegn G, Aerts J. mHealth in Sub-Saharan Africa and Europe: Context of current health, healthcare status, and demographic structure. DIGITAL HEALTH 2023;9:205520762311784 View
  67. Bhandari A, Burroway R. Hold the phone! A cross-national analysis of Women's education, mobile phones, and HIV infections in low- and middle-income countries, 1990–2018. Social Science & Medicine 2023;334:116217 View
  68. Byrne T, Murray N, McDonnell-Naughton M, Rowan N. Perceived factors informing the pre-acceptability of digital health innovation by aging respiratory patients: a case study from the Republic of Ireland. Frontiers in Public Health 2023;11 View
  69. Allan L, Beilei L, Cameron J, Olaiya M, Silvera-Tawil D, Adcock A, English C, Gall S, Cadilhac D. A Scoping Review of mHealth Interventions for Secondary Prevention of Stroke: Implications for Policy and Practice. Stroke 2023;54(11):2935 View
  70. Aboye G, Vande Walle M, Simegn G, Aerts J. Current evidence on the use of mHealth approaches in Sub-Saharan Africa: A scoping review. Health Policy and Technology 2023;12(4):100806 View
  71. Kumar S, Kuchewar V, Karuveettil V. Effectiveness of mHealth interventions for improving health attendance: an umbrella review protocol. JBI Evidence Synthesis 2024;22(1):116 View
  72. Khan W, Jebanesan B, Ahmed S, Trimmer C, Agic B, Safa F, Ashraf A, Tuck A, Kavic K, Wadhawan S, Abbott M, Husain O, Husain I, Akhter Hamid M, McKenzie K, Quintana Y, Naeem F. Stakeholders' views and opinions on existing guidelines on “How to Choose Mental Health Apps”. Frontiers in Public Health 2023;11 View
  73. Jacob C, Lindeque J, Müller R, Klein A, Metcalfe T, Connolly S, Koerber F, Maguire R, Denis F, Heuss S, Peter M. A sociotechnical framework to assess patient-facing eHealth tools: results of a modified Delphi process. npj Digital Medicine 2023;6(1) View
  74. Mali S. Screening of head neck cancer. Oral Oncology Reports 2024;9:100142 View
  75. Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2) View
  76. Segur-Ferrer J, Moltó-Puigmartí C, Pastells-Peiró R, Vivanco-Hidalgo R. Methodological Frameworks and Dimensions to Be Considered in Digital Health Technology Assessment: Scoping Review and Thematic Analysis. Journal of Medical Internet Research 2024;26:e48694 View
  77. Aboye G, Simegn G, Aerts J. Assessment of the Barriers and Enablers of the Use of mHealth Systems in Sub-Saharan Africa According to the Perceptions of Patients, Physicians, and Health Care Executives in Ethiopia: Qualitative Study. Journal of Medical Internet Research 2024;26:e50337 View
  78. Galvão W, Castro Silva L, Viana R, Oliveira P, Jucá R, Martins H, Rabelo M, Fachin-Martins E, Lima L. Application of the participatory design in the testing of a baropodometric insole prototype for weight-bearing asymmetry after a stroke: A qualitative study. Hong Kong Journal of Occupational Therapy 2024;37(1):21 View
  79. Caiani E, Kemps H, Hoogendoorn P, Asteggiano R, Böhm A, Borregaard B, Boriani G, Brunner La Rocca H, Casado-Arroyo R, Castelletti S, Christodorescu R, Cowie M, Dendale P, Dunn F, Fraser A, Lane D, Locati E, Małaczyńska-Rajpold K, Merșa C, Neubeck L, Parati G, Plummer C, Rosano G, Scherrenberg M, Smirthwaite A, Szymanski P. Standardized assessment of evidence supporting the adoption of mobile health solutions: A Clinical Consensus Statement of the ESC Regulatory Affairs Committee. European Heart Journal - Digital Health 2024 View
  80. Rosa D, Peverelli M, Poliani A, Villa G, Manara D. Exploring Hypertension Patient Engagement Using mHealth. A Scoping Review. High Blood Pressure & Cardiovascular Prevention 2024 View
  81. Jahnel T, Pan C, Pedros Barnils N, Muellmann S, Freye M, Dassow H, Lange O, Reinschluessel A, Rogowski W, Gerhardus A. Developing and Evaluating Digital Public Health Interventions: The Digital Public Health Framework (DigiPHrame) (Preprint). Journal of Medical Internet Research 2023 View

Books/Policy Documents

  1. Gensorowsky D, Dörries M, Greiner W. Telemedizin. View
  2. Faezipour M, Faezipour M. Advances in Computer Vision and Computational Biology. View
  3. Rivas H, Boillat T. Digital Health. View
  4. Joshi P, Bhardwaj S, Patel A, Priyanka . Emerging Technologies in Data Mining and Information Security. View
  5. Rubeis G. Ethics of Medical AI. View