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

Design and Formative Evaluation of Mobile Apps (706) Mobile Health (mhealth) (2982)

Published on in Vol 2, No 4 (2014): Oct-Dec

Application of Low-Cost Methodologies for Mobile Phone App Development

Application of Low-Cost Methodologies for Mobile Phone App Development

Application of Low-Cost Methodologies for Mobile Phone App Development

Authors of this article:

Melvyn Zhang1 Author Orcid Image ;   Enquan Cheow2 Author Orcid Image ;   Cyrus SH Ho3 Author Orcid Image ;   Beng Yeong Ng4 Author Orcid Image ;   Roger Ho3 Author Orcid Image ;   Christopher Cheng Soon Cheok5 Author Orcid Image
Article Authors Cited by (41) Tweetations (8) Metrics

Journals

  1. Hussain-Shamsy N, Shah A, Vigod S, Zaheer J, Seto E. Mobile Health for Perinatal Depression and Anxiety: Scoping Review. Journal of Medical Internet Research 2020;22(4):e17011 View
  2. Yim S, Lui L, Lee Y, Rosenblat J, Ragguett R, Park C, Subramaniapillai M, Cao B, Zhou A, Rong C, Lin K, Ho R, Coles A, Majeed A, Wong E, Phan L, Nasri F, McIntyre R. The utility of smartphone-based, ecological momentary assessment for depressive symptoms. Journal of Affective Disorders 2020;274:602 View
  3. Schobel J, Probst T, Reichert M, Schlee W, Schickler M, Kestler H, Pryss R. Measuring Mental Effort for Creating Mobile Data Collection Applications. International Journal of Environmental Research and Public Health 2020;17(5):1649 View
  4. McDarby M, Llaneza D, George L, Kozlov E. Mobile Applications for Advance Care Planning: A Comprehensive Review of Features, Quality, Content, and Readability. American Journal of Hospice and Palliative Medicine® 2021;38(8):983 View
  5. Zhang M, Ho R. Enabling Psychiatrists to Explore the Full Potential of E-Health. Frontiers in Psychiatry 2015;6 View
  6. Zhang M, Ying J, Song G, Fung D, Smith H. Mobile Phone Cognitive Bias Modification Research Platform for Substance Use Disorders: Protocol for a Feasibility Study. JMIR Research Protocols 2018;7(6):e153 View
  7. Burstein B, Bretholz A. A Novel Smartphone App to Support Learning and Maintaining Competency With Bier Blocks for Pediatric Forearm Fracture Reductions: Protocol for a Mixed-Methods Study. JMIR Research Protocols 2018;7(12):e10363 View
  8. Tran B, McIntyre R, Latkin C, Phan H, Vu G, Nguyen H, Gwee K, Ho C, Ho R. The Current Research Landscape on the Artificial Intelligence Application in the Management of Depressive Disorders: A Bibliometric Analysis. International Journal of Environmental Research and Public Health 2019;16(12):2150 View
  9. Zhang M, Ho C, Cheok C, Ho R. Bringing smartphone technology into undergraduate and postgraduate psychiatry. BJPsych Advances 2015;21(4):222 View
  10. Zhang M, Yu J, Shen W, Zhang Y, Xiang Y, Zhang X, Lin Z, Yan T. A mobile app implementing the international classification of functioning, disability and health rehabilitation set. BMC Medical Informatics and Decision Making 2020;20(1) View
  11. Rafiullah M, David S. Health apps usage and preferences among Saudi patients with diabetes: A survey. International Journal of Clinical Practice 2019;73(5):e13345 View
  12. Luna-Perejon F, Malwade S, Styliadis C, Civit J, Cascado-Caballero D, Konstantinidis E, Abdul S, Bamidis P, Civit A, Li Y. Evaluation of user satisfaction and usability of a mobile app for smoking cessation. Computer Methods and Programs in Biomedicine 2019;182:105042 View
  13. Subhi Y, Bube S, Rolskov Bojsen S, Skou Thomsen A, Konge L. Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review. JMIR mHealth and uHealth 2015;3(3):e79 View
  14. Ciou S, Hwang Y, Chen C, Luh J, Chen S, Chen Y. Football APP based on smart phone with FES in drop foot rehabilitation. Technology and Health Care 2017;25(3):541 View
  15. Zhang M, Ying J, Song G, Fung D, Smith H. Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps. JMIR mHealth and uHealth 2018;6(5):e10034 View
  16. Lee K, Kwan M. Physical activity classification in free-living conditions using smartphone accelerometer data and exploration of predicted results. Computers, Environment and Urban Systems 2018;67:124 View
  17. Nussbaum R, Kelly C, Quinby E, Mac A, Parmanto B, Dicianno B. Systematic Review of Mobile Health Applications in Rehabilitation. Archives of Physical Medicine and Rehabilitation 2019;100(1):115 View
  18. Sun Z, Ji Z, Zhang P, Chen C, Qian X, Du X, Wan Q. Automatic labeling of mobile apps by the type of psychological needs they satisfy. Telematics and Informatics 2017;34(5):767 View
  19. Zhang M, Ho R. Tapping onto the Potential of Smartphone Applications for Psycho-Education and Early Intervention in Addictions. Frontiers in Psychiatry 2016;7 View
  20. Tran B, Ha G, Nguyen D, Nguyen T, Do H, Latkin C, Ho C, Ho R. Global mapping of interventions to improve quality of life of patients with depression during 1990–2018. Quality of Life Research 2020;29(9):2333 View
  21. Mugica F, Nebot À, Bagherpour S, Baladón L, Serrano-Blanco A. A model for continuous monitoring of patients with major depression in short and long term periods. Technology and Health Care 2017;25(3):487 View
  22. 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
  23. Andrews K, Zimoch M, Reichert M, Tallon M, Frick U, Pryss R. A Smart Mobile Assessment Tool for Collecting Data in Large-Scale Educational Studies. Procedia Computer Science 2018;134:67 View
  24. 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
  25. Schobel J, Probst T, Reichert M, Schickler M, Pryss R. Enabling Sophisticated Lifecycle Support for Mobile Healthcare Data Collection Applications. IEEE Access 2019;7:61204 View
  26. Nguyen S, Vu G, Nguyen L, Nguyen C, Le T, Tran T, Tran B, Latkin C, Tam W, Ho C, Ho R. Understanding Social Media Use and Engagement Among Dermatology Patients to Inform Dermatological Prevention and Care in Vietnam: Cross-sectional Study. JMIR Dermatology 2020;3(1):e13424 View
  27. Tielman M, Neerincx M, van Meggelen M, Franken I, Brinkman W. How should a virtual agent present psychoeducation? Influence of verbal and textual presentation on adherence. Technology and Health Care 2018;25(6):1081 View
  28. Pinto S, Almeida F, Caldeira S, Martins J. The Comfort app prototype: introducing a web-based application for monitoring comfort in palliative care. International Journal of Palliative Nursing 2017;23(9):420 View
  29. Alonso Rorís V, Álvarez Sabucedo L, Wanden-Berghe C, Santos Gago J, Sanz-Valero J. Towards a Mobile-Based Platform for Traceability Control and Hazard Analysis in the Context of Parenteral Nutrition: Description of a Framework and a Prototype App. JMIR Research Protocols 2016;5(2):e57 View
  30. Schobel J, Pryss R, Probst T, Schlee W, Schickler M, Reichert M. Learnability of a Configurator Empowering End Users to Create Mobile Data Collection Instruments: Usability Study. JMIR mHealth and uHealth 2018;6(6):e148 View
  31. Gulliver A, Calear A, Sunderland M, Kay-Lambkin F, Farrer L, Banfield M, Batterham P. Consumer-Guided Development of an Engagement-Facilitation Intervention for Increasing Uptake and Adherence for Self-Guided Web-Based Mental Health Programs: Focus Groups and Online Evaluation Survey. JMIR Formative Research 2020;4(10):e22528 View
  32. Rose C, Nichols T, Hackner D, Chang J, Straube S, Jooste W, Sawe H, Tenner A. Utilizing Lean Software Methods To Improve Acceptance of Global eHealth Initiatives: Results From the Implementation of the Basic Emergency Care App. JMIR Formative Research 2021;5(5):e14851 View
  33. Slay P, Castille K, Hong E, Polizzi N, Hoyt T. Enhancing suicide prevention outreach via mobile‐enabled website design. Suicide and Life-Threatening Behavior 2021;51(2):229 View
  34. C. G. T, Devi A. A Study and Overview of the Mobile App Development Industry. International Journal of Applied Engineering and Management Letters 2021:115 View
  35. Abid Bin Syeed , Suhail Hussain Bhat , Deepinder Kaur . Study of Mobile App Development Industry. International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2021:154 View
  36. Yadav R, Giri A, Chatterjee S. Understanding the users' motivation and barriers in adopting healthcare apps: A mixed-method approach using behavioral reasoning theory. Technological Forecasting and Social Change 2022;183:121932 View
  37. Hayat J, Ramadhan M, Gonnah A, Alfadhli A, Al-Naseem A. The Role of Mobile Health Technology on Perioperative Spinal Care: A Systematic Scoping Review and Narrative Synthesis. Cureus 2024 View
  38. Zhang M, Yeo L, Ho R. Harnessing smartphone technologies for stroke care, rehabilitation and beyond. BMJ Innovations 2015;1(4):145 View

Books/Policy Documents

  1. Zhang M, Ho R. The Digitization of Healthcare. View