Published on in Vol 6, No 5 (2018): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8236, first published .
User Needs in the Development of a Health App Ecosystem for Self-Management of Cystic Fibrosis: User-Centered Development Approach

User Needs in the Development of a Health App Ecosystem for Self-Management of Cystic Fibrosis: User-Centered Development Approach

User Needs in the Development of a Health App Ecosystem for Self-Management of Cystic Fibrosis: User-Centered Development Approach

Journals

  1. Setiawan I, Zhou L, Alfikri Z, Saptono A, Fairman A, Dicianno B, Parmanto B. An Adaptive Mobile Health System to Support Self-Management for Persons With Chronic Conditions and Disabilities: Usability and Feasibility Studies. JMIR Formative Research 2019;3(2):e12982 View
  2. Allsop M, Johnson O, Taylor S, Hackett J, Allen P, Bennett M, Bewick B. Multidisciplinary Software Design for the Routine Monitoring and Assessment of Pain in Palliative Care Services: The Development of PainCheck. JCO Clinical Cancer Informatics 2019;(3):1 View
  3. Martinez-Millana A, Zettl A, Floch J, Calvo-Lerma J, Sevillano J, Ribes-Koninckx C, Traver V. The Potential of Self-Management mHealth for Pediatric Cystic Fibrosis: Mixed-Methods Study for Health Care and App Assessment. JMIR mHealth and uHealth 2019;7(4):e13362 View
  4. Morley J, Floridi L. The Limits of Empowerment: How to Reframe the Role of mHealth Tools in the Healthcare Ecosystem. Science and Engineering Ethics 2020;26(3):1159 View
  5. Vo V, Auroy L, Sarradon-Eck A. Patients’ Perceptions of mHealth Apps: Meta-Ethnographic Review of Qualitative Studies. JMIR mHealth and uHealth 2019;7(7):e13817 View
  6. Rudolf I, Pieper K, Nolte H, Junge S, Dopfer C, Sauer-Heilborn A, Ringshausen F, Tümmler B, von Jan U, Albrecht U, Fuge J, Hansen G, Dittrich A. Assessment of a Mobile App by Adolescents and Young Adults With Cystic Fibrosis: Pilot Evaluation. JMIR mHealth and uHealth 2019;7(11):e12442 View
  7. Zhang Y, Li X, Luo S, Liu C, Liu F, Zhou Z. Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study. JMIR mHealth and uHealth 2018;6(9):e11400 View
  8. Rodger S, O'Hara K. Exploring the Potential for Technology to Improve Cystic Fibrosis Care Provision. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
  9. Claudel S, Ceasar J, Andrews M, El-Toukhy S, Farmer N, Middleton K, Sabado-Liwag M, Mitchell V, Tamura K, Brooks A, Wallen G, Powell-Wiley T. Time to listen: a mixed-method study examining community-based views of mobile technology for interventions to promote physical activity. BMJ Health & Care Informatics 2020;27(3):e100140 View
  10. Calvo-Lerma J, Asensio-Grau A, Heredia A, Andrés A. Lessons learnt from MyCyFAPP Project: Effect of cystic fibrosis factors and inherent-to-food properties on lipid digestion in foods. Food Research International 2020;133:109198 View
  11. Floch J, Vilarinho T, Zettl A, Ibanez-Sanchez G, Calvo-Lerma J, Stav E, Haro P, Aalberg A, Fides-Valero A, Bayo Montón J. Users’ Experiences of a Mobile Health Self-Management Approach for the Treatment of Cystic Fibrosis: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(7):e15896 View
  12. Hu J, Yuan D, Zhao Q, Wang X, Zhang X, Jiang Q, Luo H, Li J, Ran J, Li J. Acceptability and practicability of self-management for patients with Parkinson’s disease based on smartphone applications in China. BMC Medical Informatics and Decision Making 2020;20(1) View
  13. Amann J, Fiordelli M, Brach M, Bertschy S, Scheel-Sailer A, Rubinelli S. Co-designing a Self-Management App Prototype to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(7):e18018 View
  14. Nicol G, Ricchio A, Metts C, Yingling M, Ramsey A, Schweiger J, Miller J, Lenze E. A Smartphone-Based Technique to Detect Dynamic User Preferences for Tailoring Behavioral Interventions: Observational Utility Study of Ecological Daily Needs Assessment. JMIR mHealth and uHealth 2020;8(11):e18609 View
  15. Hoogsteder M, Douma L, Eskens C, Berendsen R, Vanneste Y, Schaafsma F. Professionals’ and Students’ Perceived Needs for an Online Supportive Application for Reducing School Absence and Stimulating Reintegration: Concept Mapping Study. JMIR Formative Research 2021;5(6):e24659 View
  16. Behboudi F, Pouralizadeh M, Yeganeh M, Khoshrang H. Designing and evaluating an educational mobile application for prevention of foreign body aspiration and measure to open airways of children. International Journal of Africa Nursing Sciences 2021;15:100313 View
  17. Cardoso R, Brust‐Renck P, Fogliatto F, Tortorella G, Samson D. User‐centered requirement elicitation for the procurement of medical equipment used by different services and types of end‐users. Human Factors and Ergonomics in Manufacturing & Service Industries 2022;32(2):214 View
  18. Lee J, Lee M. Validation and usability study of the framework for a user needs-centered mHealth app selection. International Journal of Medical Informatics 2022;167:104877 View
  19. Chute C, French T, Raman S, Bradley J. User Requirements for Comanaged Digital Health and Care: Review. Journal of Medical Internet Research 2022;24(6):e35337 View
  20. Kip H, Keizer J, da Silva M, Beerlage-de Jong N, Köhle N, Kelders S. Methods for Human-Centered eHealth Development: Narrative Scoping Review. Journal of Medical Internet Research 2022;24(1):e31858 View
  21. Ratanawong J, Naslund J, Mikal J, Grande S. Achieving the potential of mHealth in medicine requires challenging the ethos of care delivery. Primary Health Care Research & Development 2022;23 View
  22. Tajudeen F, Bahar N, Tan M, Peer Mustafa M, Saedon N, Jesudass J. Understanding User Requirements for a Senior-Friendly Mobile Health Application. Geriatrics 2022;7(5):110 View
  23. Jiang C, Chang H, Shahzad I. Digital Economy and Health: Does Green Technology Matter in BRICS Economies?. Frontiers in Public Health 2022;9 View
  24. Choi W, Chang S, Yang Y, Jung S, Lee S, Chun J, Kim D, Lee W, Choi I. Study of the factors influencing the use of MyData platform based on personal health record data sharing system. BMC Medical Informatics and Decision Making 2022;22(1) View
  25. Oates G, Mims C, Geurs R, Bergquist R, Hager A, Guimbellot J, Hartzes A, Gutierrez H. Mobile health platform for self-management of pediatric cystic fibrosis: Impact on patient-centered care outcomes. Journal of Cystic Fibrosis 2023;22(5):823 View
  26. Dittrich F, Albrecht U, Scherer J, Becker S, Landgraeber S, Back D, Fessmann K, Haversath M, Beck S, Abbara-Czardybon M, Quitmann H, Harren A, Aitzetmüller M, Klietz M. Development of Open Backend Structures for Health Care Professionals to Improve Participation in App Developments: Pilot Usability Study of a Medical App. JMIR Formative Research 2023;7:e42224 View
  27. Jibb L, Sivaratnam S, Hashemi E, Chu C, Nathan P, Chartrand J, Alberts N, Masama T, Pease H, Torres L, Cortes H, Zworth M, Kuczynski S, Fortier M, Ayatollahi H. Parent and clinician perceptions and recommendations on a pediatric cancer pain management app: A qualitative co-design study. PLOS Digital Health 2023;2(11):e0000169 View
  28. Wang W, Khalajzadeh H, Grundy J, Madugalla A, McIntosh J, Obie H. Adaptive user interfaces in systems targeting chronic disease: a systematic literature review. User Modeling and User-Adapted Interaction 2024;34(3):853 View
  29. Tran T, Duong H, Truong L, Bui C, Nguyen Q, Huynh H, Le N, Sor K, Truong T, Cu V, Le N, Nguyen T, Le M. Epilepsy self–management mobile health application: A needs assessment in people with epilepsy and caregivers in Viet Nam. Epilepsy & Behavior 2024;151:109643 View
  30. Zhou T, Salman D, McGregor A. mHealth Apps for the Self-Management of Low Back Pain: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2024;12:e53262 View
  31. Eaton C, McWilliams E, Yablon D, Kesim I, Ge R, Mirus K, Sconiers T, Donkoh A, Lawrence M, George C, Morrison M, Muther E, Oates G, Sathe M, Sawicki G, Snell C, Riekert K. Cross-Cutting mHealth Behavior Change Techniques to Support Treatment Adherence and Self-Management of Complex Medical Conditions: Systematic Review. JMIR mHealth and uHealth 2024;12:e49024 View
  32. Altmannshofer S, Flaucher M, Beierlein M, Eskofier B, Beckmann M, Fasching P, Huebner H. A content-based review of mobile health applications for breast cancer prevention and education: Characteristics, quality and functionality analysis. DIGITAL HEALTH 2024;10 View
  33. Huettemann R, Sevov B, Meister S, Fehring L. Understanding citizens’ attitudes within user-centered digital health ecosystems: A sequential mixed method methodology including a web-survey. DIGITAL HEALTH 2024;10 View
  34. Huettemann R, Sevov B, Meister S, Fehring L. How to establish digital health ecosystems from the perspective of health service-organizations: A taxonomy developed based on expert interviews conducted as modified Delphi approach. DIGITAL HEALTH 2024;10 View
  35. Ferreira J, França M, Rei M, Peixoto R, Armand Larsen S, Bernini A, Lopes L, Conde C, Claro J. Towards user-centered design of medical devices for SUDEP prediction and prevention: Insights from persons with epilepsy and caregivers. Epilepsy & Behavior 2024;161:110034 View
  36. Khosrobeigi A, Sichani M, Rangraz-Jeddi F, Gharakhani D, Mousavinasab E, Anvari S, Akbari H, Fatehi F, Nabovati E. A novel smartphone application for bladder cancer management (BCM App): Design, development, and usability evaluation. Journal of Education and Health Promotion 2024;13(1) View

Books/Policy Documents

  1. Muther E, Butcher J, Riekert K. Cystic Fibrosis. View
  2. Vilarinho T, Farshchian B, Floch J, Hansen O. Human-Centered Software Engineering. View
  3. Sartori F, Tonelli L. Advances in Information Systems Development. View