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Bibliografia

  1. Lambert, T. E., Harvey, L. A., Avdalis, C., Chen, L. W., Jeyalingam, S., Pratt, C. A., Tatum, H. J., Bowden, J. L., & Lucas, B. R. (2017). An app with remote support achieves better adherence to home exercise programs than paper hand-outs in people with musculoskeletal conditions: A randomised trial. Journal of Physiotherapy, 63(3), 161-167. DOI: https://doi.org/10.1016/j.jphys.2017.05.015
  2. Blanquero, J., Roldán-Jiménez, C., & Cuesta-Vargas, A. I. (2020). Feedback-guided exercises performed on a tablet touchscreen improve return to work, function, strength and healthcare usage more than an exercise program prescribed on paper for people with wrist, hand or finger injuries: A randomised trial. Journal of Physiotherapy, 66(4), 236-243. DOI: https://doi.org/10.1016/j.jphys.2020.07.004
  3. Lee, J. (2023). Smartphone and Mobile App Use Among Physicians: Scoping Review. JMIR mHealth and uHealth, 11, e42863. DOI: https://doi.org/10.2196/44765
  4. White, A., et al. (2016). Health Worker mHealth Utilization: A Systematic Review. CIN: Computers, Informatics, Nursing, 34(5), 206-213. DOI: https://doi.org/10.1097/CIN.0000000000000231
  5. Odendaal, W. A., Anstey Watkins, J., Leon, N., Goudge, J., Griffiths, F., Tomlinson, M., & Daniels, K. (2020). Health workers' perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. Cochrane Database of Systematic Reviews, (3), CD011942. DOI: https://doi.org/10.1002/14651858.CD011942.pub2
  6. Deniz-Garcia, A., et al. (2023). Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges. Journal of Medical Internet Research, 25, e44030. DOI: https://doi.org/10.2196/44030
  7. Zhu, Y., et al. (2024, Ottobre). Enhancing Healthcare Delivery Through Digital Health Interventions: A Systematic Review on Telemedicine and Mobile Health Applications in Low and Middle-Income Countries (LMICs) [Preprint]. ResearchGate.DOI: https://doi.org/10.21203/rs.3.rs-5189203/v1
  8. Chew, E. S., et al. (2025). Understanding Patient and Physiotherapist Requirements for a Personalized Automated Smartphone Telemonitored App for Posttotal Knee Arthroplasty Rehabilitation: Qualitative Study. JMIR Rehabilitation and Assistive Technologies, 12, e59688. DOI: https://doi.org/10.2196/59688
  9. Amagai, S., Pila, S., Kaat, A. J., Nowinski, C. J., & Gershon, R. C. (2022). Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research, 24(4), e35120. DOI: https://doi.org/10.2196/35120
  10. Laukka, E., et al. (2025). Value Cocreation and Codestruction in Digital Health Services: Protocol for a Systematic Review. JMIR Research Protocols, 14, e63015. DOI: https://doi.org/10.2196/63015
  11. Domin, A., Uslu, A., Schulz, A., Ouzzahra, Y., & Vögele, C. (2022). A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study. JMIR Formative Research, 6(6), e35118. DOI: https://doi.org/10.2196/35118
  12. Mair, J. L., et al. (2023). Effective Behavior Change Techniques in Digital Health Interventions for the Prevention or Management of Noncommunicable Diseases: An Umbrella Review. Annals of Behavioral Medicine, 57(10), 817-835. DOI: https://doi.org/10.1093/abm/kaad041
  13. Kim, S. K., et al. (2025). Effectiveness of Mobile Health Intervention in Medication Adherence: a Systematic Review and Meta-Analysis. Journal of Medical Systems, 49(1), 13. DOI: https://doi.org/10.1007/s10916-024-02135-2
  14. Sagen, J. S., et al. (2024). Patient involvement in the rehabilitation process is associated with improvement in function and goal attainment: Results from an explorative longitudinal study. Journal of Clinical Medicine, 13(2), 320. DOI: https://doi.org/10.1007/s10916-024-02135-2
  15. Kwok, A., et al. (2023). Patient and therapist perspectives on physical therapy outcome measures and engagement after stroke: A case study. Physiotherapy Theory and Practice, 39(12), 2639-2650. DOI: https://doi.org/10.3390/jcm13020320
  16. Naqvi, W. M., Sahu, A., & Arora, S. P. (2023). Patient-Reported Outcome Measures in Physiotherapy: An Overview. Journal of Datta Meghe Institute of Medical Sciences University, 18(2), 331-336. DOI: https://doi.org/10.4103/jdmimsu.jdmimsu_671_22
  17. Mapinduzi, J., et al. (2025). Supervised or Home-Based? Exploring the Best Exercise Approach for Knee Osteoarthritis Management: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine, 14(2), 525. DOI: https://doi.org/10.3390/jcm14020525
  18. Marcolino, M. S., et al. (2018). The Impact of mHealth Interventions: Systematic Review of Systematic Reviews. JMIR mHealth and uHealth, 6(1), e23. DOI: https://doi.org/10.2196/mhealth.8873
  19. Imran, T. F., Wang, N., Zombeck, S., & Balady, G. J. (2021). Mobile Technology Improves Adherence to Cardiac Rehabilitation: A Propensity Score-Matched Study. Journal of the American Heart Association, 10(15), e020482. DOI: https://doi.org/10.1161/JAHA.120.020482
  20. Merolli, M., Francis, J. J., Vallance, P., Bennell, K. L., Malliaras, P., & Hinman, R. S. (2024). Evaluation of Patient-Facing Mobile Apps to Support Physiotherapy Care: Systematic Review. JMIR mHealth and uHealth, 12, e55003. DOI: https://doi.org/10.2196/55003
  21. Zhao, J., et al. (2020). Archetypes of Gamification: Analysis of mHealth Apps. JMIR Serious Games, 8(4), e19280. DOI: https://doi.org/10.2196/19280
  22. Wang, K., et al. (2022). The Effects of mHealth-Based Gamification Interventions on Participation in Physical Activity: Systematic Review. Journal of Medical Internet Research, 24(2), e34734. DOI: https://doi.org/10.2196/27794
  23. Mazeas A, Duclos M, Pereira B, Chalabaev A. Evaluating the Effectiveness of Gamification on Physical Activity: Systematic Review and Meta-analysis of Randomized Controlled Trials. J Med Internet Res 2022;24(1):e26779. Doi: https://doi.org/10.2196/26779
  24. Bartłomiejczyk N, De Santo A, Holzer A. Gamified Physical-Digital Smoking Cessation Intervention for Young Adults: Mixed Methods Development and Usability Study. JMIR Hum Factors. 2025 Sep 19;12:e72749. PMID: 40971186; PMCID: PMC12495370. https://doi.org/10.2196/7274
  25. Singh K, Drouin K, Newmark LP, Rozenblum R, Lee J, Landman A, Pabo E, Klinger EV, Bates DW. Developing a Framework for Evaluating the Patient Engagement, Quality, and Safety of Mobile Health Applications. Issue Brief (Commonw Fund). 2016 Feb;5:1-11. PMID: 26934758.
  26. Özden, F., Günendi, Z., & Küçükşen, S. (2024). The effect of visual feedback-based clinical monitoring application in patients with chronic low back pain: A randomized controlled trial. European Spine Journal, 33(2), 505-516. DOI: https://doi.org/10.1007/s00586-023-08098-1
  27. Ryan, S., et al. (2022). mHealth Apps for Musculoskeletal Rehabilitation: Systematic Search in App Stores and Content Analysis. JMIR Rehabilitation and Assistive Technology, 9(3), e34355. DOI: https://doi.org/10.2196/34355
  28. Krukowski, R. A., Denton, A. H., & König, L. M. (2024). Impact of feedback generation and presentation on self-monitoring behaviors, dietary intake, physical activity, and weight: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity, 21(1), 3. DOI: https://doi.org/10.1186/s12966-023-01555-6
  29. Davergne, T., Castany, M.-J., Rouch, P., & Coudeyre, E. (2023). The effectiveness of digital apps providing personalized video exercises to support rehabilitation for people with short-term 34musculoskeletal conditions: A systematic review. Journal of Medical Internet Research, 25, e45207. DOI: https://doi.org/10.2196/45207
  30. Moore, C. L., & Kaplan, S. L. (2018). A Framework and Resources for Shared Decision Making: Opportunities for Improved Physical Therapy Outcomes. Physical Therapy, 98(12), 1022-1036. https://doi.org/10.1093/ptj/pzy095
  31. Strubbia C, Levack WMM, Grainger R, et alUse of technology in supporting goal setting in rehabilitation for adults: a scoping reviewBMJ Open 2020;10:e041730. DOI: https://doi.org/10.1136/bmjopen-2020-041730
  32. Alsahli, S., et al. (2023). Factors Influencing the Acceptance and Adoption of Mobile Health Apps by Physicians During the COVID-19 Pandemic: Systematic Review. JMIR mHealth and uHealth, 11, e45167. DOI: https://doi.org/10.2196/50419
  33. Sumner, J., et al. (2024). Co-Designing Remote Patient Monitoring Technologies for Inpatients: Systematic Review. Journal of Medical Internet Research, 26, e58144. DOI: https://doi.org/10.2196/58144