Published on 02.05.17 in Vol 5, No 5 (2017): May
Works citing "mHealth Assessment: Conceptualization of a Global Framework"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7291):
(note that this is only a small subset of citations)
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Timotijevic L, Hodgkins CE, Banks A, Rusconi P, Egan B, Peacock M, Seiss E, Touray MML, 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)
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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
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Dick S, O'Connor Y, Thompson MJ, O'Donoghue J, Hardy V, Wu TJ, O'Sullivan T, Chirambo GB, Heavin C. Considerations for Improved Mobile Health Evaluation: Retrospective Qualitative Investigation. JMIR mHealth and uHealth 2020;8(1):e12424
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Faezipour M, Abuzneid A. Smartphone-Based Self-Testing of COVID-19 Using Breathing Sounds. Telemedicine and e-Health 2020;26(10):1202
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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
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Wattanapisit A, Teo CH, Wattanapisit S, Teoh E, Woo WJ, Ng CJ. 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)
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Zhang J, Tüshaus L, Nuño Martínez N, Moreo M, Verastegui H, Hartinger SM, 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
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. Tecnologías móviles e inalámbricas para cuidar nuestra salud. Journal of Healthcare Quality Research 2018;33(4):183
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Pires IM, Marques G, Garcia NM, 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
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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
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Albrecht U, Kuhn B, Land J, Amelung VE, von Jan U. Nutzenbewertung von digitalen Gesundheitsprodukten (Digital Health) im gesellschaftlichen Erstattungskontext. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2018;61(3):340
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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
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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
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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
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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
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Lygidakis C, Uwizihiwe JP, 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
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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
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Hobson GR, Caffery LJ, Neuhaus M, Langbecker DH. Mobile Health for First Nations Populations: Systematic Review. JMIR mHealth and uHealth 2019;7(10):e14877
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Pereira AAC, Destro JR, Picinin Bernuci M, Garcia LF, Rodrigues Lucena TF. 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
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Metzendorf M, Wieland LS, Richter B. Mobile health (m-health) smartphone interventions for overweight or obese adolescents and adults. Cochrane Database of Systematic Reviews 2020;
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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
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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)
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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
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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
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Bard DM, Joseph JI, van Helmond N. Cuff-Less Methods for Blood Pressure Telemonitoring. Frontiers in Cardiovascular Medicine 2019;6
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Boodoo C, Perry JA, Hunter PJ, Duta DI, Newhook SCP, 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
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Lee HY, Kim JY, Na KY, Park HY, Han J, Pak Y, Nam B, Pae CH, Lee J, Lim TH, 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
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Gabel P, Kirkegaard P, Larsen MB, 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
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Osei E, Kuupiel D, Mashamba-Thompson TP. 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
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Bruce C, Harrison P, Giammattei C, Desai S, Sol JR, Jones S, Schwartz R. Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes. JMIR mHealth and uHealth 2020;8(11):e17577
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Rantala A, Jansson MM, 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
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Díaz JL, 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
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Zhu M, Wu C, Huang S, Zheng K, Young SD, 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
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Faezipour M, Faezipour M. Efficacy of Smart EEG Monitoring Amidst the COVID-19 Pandemic. Electronics 2021;10(9):1001
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Chelberg GR, Neuhaus M, Mothershaw A, Mahoney R, Caffery LJ. Mobile apps for dementia awareness, support, and prevention – review and evaluation. Disability and Rehabilitation 2022;44(17):4909
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Escobar-Viera CG, Cernuzzi LC, Miller RS, Rodríguez-Marín HJ, Vieta E, González Toñánez M, Marsch LA, Hidalgo-Mazzei D. Feasibility of mHealth interventions for depressive symptoms in Latin America: a systematic review. International Review of Psychiatry 2021;33(3):300
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Faezipour M, Faezipour M. System Dynamics Modeling for Smartphone-Based Healthcare Tools: Case Study on ECG Monitoring. IEEE Systems Journal 2021;15(2):3036
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Aljedaani B, Babar MA. Challenges With Developing Secure Mobile Health Applications: Systematic Review. JMIR mHealth and uHealth 2021;9(6):e15654
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Minen MT, Stieglitz EJ. Wearables for Neurologic Conditions. Neurology Clinical Practice 2021;11(4)
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Berge LI, Gedde MH, Torrado Vidal JC, Husebo B, Hynninen KM, Knardal SE, Madsø KG. 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
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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 PA, Värri A, Williams P, Heidenreich G, Oughtibridge N, Stegwee R, Chavannes NH. 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
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Cozad MJ, Crum M, Tyson H, Fleming PR, Stratton J, Kennedy AB, Lindley LC, Horner RD. 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
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Addotey-Delove M, Scott RE, Mars M. The development of an instrument to predict patients’ adoption of mHealth in the developing world. Informatics in Medicine Unlocked 2022;29:100898
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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)
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Leong QY, 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
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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)
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Ferret JCF, Branco BHM, Santos LPGD, Rocco F, Bernuci MP. WhatsApp-assisted health education intervention. International Journal for Innovation Education and Research 2021;9(9):56
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Ezezika O, Varatharajan C, Racine S, Ameyaw EK. 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
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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
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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
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Bola R, Ujoh F, Ukah UV, Lett R. Assessment and validation of the Community Maternal Danger Score algorithm. Global Health Research and Policy 2022;7(1)
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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
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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
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Jacob C, Lindeque J, Klein A, Ivory C, Heuss S, Peter MK. Assessing the Quality and Impact of eHealth Tools: Systematic Literature Review and Narrative Synthesis. JMIR Human Factors 2023;10:e45143
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Malinka C, Dittrich F, Back DA, 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)
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Sujarwoto S, Augia T, Dahlan H, Sahputri RAM, Holipah H, Maharani A. COVID-19 Mobile Health Apps: An Overview of Mobile Applications in Indonesia. Frontiers in Public Health 2022;10
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França C, Santos F, Martins F, Lopes H, Gouveia B, Gonçalves F, Campos P, Marques A, Ihle A, Gonçalves T, Gouveia R. Digital Health in Schools: A Systematic Review. Sustainability 2022;14(21):13848
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El Joueidi S, Bardosh K, Musoke R, Tilahun B, Abo Moslim M, Gourlay K, MacMullin A, Cook VJ, 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)
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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
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Walsh T, Warnakulasuriya S, Lingen MW, Kerr AR, Ogden GR, 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)
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Nogueira FMF, Martins RP, Nery ECHP, Silva AG. A systematic search and assessment of the quality and characterisation of free mobile applications targeting knee pain. Musculoskeletal Care 2023;21(1):212
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Lavender T, Smyth RM, Chimwaza AF, Mills TA, 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)
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Crawford AD, Hutson TS, Kim M. Mobile Health Applications Addressing Health Disparities for Women on Community Supervision: A Scoping Review. Substance Use & Misuse 2023;58(6):765
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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
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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
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Aboye GT, Vande Walle M, Simegn GL, Aerts J. mHealth in Sub-Saharan Africa and Europe: Context of current health, healthcare status, and demographic structure. DIGITAL HEALTH 2023;9:205520762311784
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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
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Byrne T, Murray N, McDonnell-Naughton M, Rowan NJ. 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
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Allan LP, Beilei L, Cameron J, Olaiya MT, Silvera-Tawil D, Adcock AK, English C, Gall SL, Cadilhac DA. A Scoping Review of mHealth Interventions for Secondary Prevention of Stroke: Implications for Policy and Practice. Stroke 2023;54(11):2935
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Aboye GT, Vande Walle M, Simegn GL, 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
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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
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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
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Jacob C, Lindeque J, Müller R, Klein A, Metcalfe T, Connolly SL, Koerber F, Maguire R, Denis F, Heuss SC, Peter MK. A sociotechnical framework to assess patient-facing eHealth tools: results of a modified Delphi process. npj Digital Medicine 2023;6(1)
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. Screening of head neck cancer. Oral Oncology Reports 2024;9:100142
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Metzendorf M, Wieland LS, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2)
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Segur-Ferrer J, Moltó-Puigmartí C, Pastells-Peiró R, Vivanco-Hidalgo RM. 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
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Aboye GT, Simegn GL, 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
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Galvão WR, Castro Silva LK, Viana RT, Oliveira PHA, Jucá RVBDM, Martins HR, Rabelo M, Fachin-Martins E, Lima LAO. 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;
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7291):
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Gensorowsky D, Dörries M, Greiner W. Telemedizin. 2021. Chapter 43:483
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Faezipour M, Faezipour M. Advances in Computer Vision and Computational Biology. 2021. Chapter 48:611
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Rivas H, Boillat T. Digital Health. 2023. Chapter 1:1
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Joshi P, Bhardwaj S, Patel A, Priyanka . Emerging Technologies in Data Mining and Information Security. 2023. Chapter 5:47
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. Ethics of Medical AI. 2024. Chapter 3:23
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