Physical Therapy Korea (한국전문물리치료학회지)

Korean Research Society of Physical Therapy (한국전문물리치료학회)
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A Web-based Platform for Managing Rehabilitation Outcome Measures

  • Sujin Kim (Department of Physical Therapy, College of Medical Sciences, Jeonju University) ;
  • Jiwon Jeon (Department of Rehabilitation Science, The Graduate School, Jeonju University) ;
  • Haesu Lee (Department of Rehabilitation Science, The Graduate School, Jeonju University)
  • Received : 2024.07.03
  • Accepted : 2024.08.06
  • Published : 2024.08.20
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Abstract

Background: Effective management of clinical assessment tools is critical in stroke and brain injury rehabilitation research. Managing rehabilitation outcome measures (ROMs) scores and training therapists in multicenter randomized clinical trials (RCTs) is challenging. Objects: The aim of this study was to develop a web-based platform, the Korean Rehabilitation Outcome Measurement (KoROM), to address these limitations and improve both therapist training and patient involvement in the rehabilitation process. Methods: The development of the KoROM spanned from June 2021 to July 2022, and included literature and web-based searches to identify relevant ROMs and design a user-friendly platform. Feedback from six physical therapy and informatics experts during pilot testing refined the platform. Results: Several clinical assessment tools categorized under the International Classification of Functioning, Disability, and Health (ICF) model are categorized in the KoROM. The therapist version includes patient management, assessment tool information, and data downloads, while the patient version provides a simplified interface for viewing scores and printing summaries. The master version provides full access to user information and clinical assessment scores. Therapists enter clinical assessment scores into the KoROM and learn ROMs through instructional videos and self-checklists as part of the therapist standardization process. Conclusion: The KoROM is a specialized online platform that improves the management of ROMs, facilitates therapist education, and promotes patient involvement in the rehabilitation process. The KoROM can be used not only in multi-site RCTs, but also in community rehabilitation exercise centers.

Keywords

Acknowledgement

In the preparation of this manuscript, generative AI and AIassisted technologies, specifically ChatGPT developed by OpenAI, were used for proofreading and language refinement.

References

  1. Ali M, English C, Bernhardt J, Sunnerhagen KS, Brady M; VISTA-Rehab Collaboration. More outcomes than trials: a call for consistent data collection across stroke rehabilitation trials. Int J Stroke 2013;8(1):18-24. 
  2. Winstein C. Thoughts about the negative results of clinical trials in rehabilitation medicine. Kinesiol Rev 2018;7(1):58-63. 
  3. See J, Dodakian L, Chou C, Chan V, McKenzie A, Reinkensmeyer DJ, et al. A standardized approach to the Fugl-Meyer assessment and its implications for clinical trials. Neurorehabil Neural Repair 2013;27(8):732-41. 
  4. Hillestad R, Bigelow J, Bower A, Girosi F, Meili R, Scoville R, et al. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Aff (Millwood) 2005;24(5):1103-17. 
  5. McDonald CJ. The barriers to electronic medical record systems and how to overcome them. J Am Med Inform Assoc 1997;4(3):213-21. 
  6. Kim JH, Kwon TK, Won Y, Kim JJ. The development of patient-accessible EMR system. J Korea Inst Inf Commun Eng 2010;14(3):595-602. 
  7. Park YT, Han D. Current status of electronic medical record systems in hospitals and clinics in Korea. Healthc Inform Res 2017;23(3):189-98. 
  8. Lein DH Jr, Willig JH, Smith CR, Curtis JR, Westfall AO, Hurt CP. Assessing a novel way to measure three common rehabilitation outcome measures using a custom mobile phone application. Gait Posture 2019;73:246-50. 
  9. Mitchell K, Gutierrez SB, Sutton S, Morton S, Morgenthaler A. Reliability and validity of goniometric iPhone applications for the assessment of active shoulder external rotation. Physiother Theory Pract 2014;30(7):521-5. 
  10. Ockendon M, Gilbert RE. Validation of a novel smartphone accelerometer-based knee goniometer. J Knee Surg 2012;25(4):341-6. 
  11. Kolber MJ, Pizzini M, Robinson A, Yanez D, Hanney WJ. The reliability and concurrent validity of measurements used to quantify lumbar spine mobility: an analysis of an iphone® application and gravity based inclinometry. Int J Sports Phys Ther 2013;8(2):129-37. 
  12. Tousignant-Laflamme Y, Boutin N, Dion AM, Vallee CA. Reliability and criterion validity of two applications of the iPhoneTM to measure cervical range of motion in healthy participants. J Neuroeng Rehabil 2013;10(1):69. 
  13. Chen J, Jin W, Dong WS, Jin Y, Qiao FL, Zhou YF, et al. Effects of home-based telesupervising rehabilitation on physical function for stroke survivors with hemiplegia: a randomized controlled trial. Am J Phys Med Rehabil 2017;96(3):152-60. 
  14. Choi YH, Ku J, Lim H, Kim YH, Paik NJ. Mobile game-based virtual reality rehabilitation program for upper limb dysfunction after ischemic stroke. Restor Neurol Neurosci 2016;34(3):455-63. 
  15. Chumbler NR, Li X, Quigley P, Morey MC, Rose D, Griffiths P, et al. A randomized controlled trial on Stroke telerehabilitation: the effects on falls self-efficacy and satisfaction with care. J Telemed Telecare 2015;21(3):139-43. 
  16. Seron P, Oliveros MJ, Gutierrez-Arias R, Fuentes-Aspe R, Torres-Castro RC, Merino-Osorio C, et al. Effectiveness of telerehabilitation in physical therapy: a rapid overview. Phys Ther 2021;101(6):pzab053. 
  17. Lee J, Woo YK, Won JI, Kim S. Evaluation tools for patients with neurologic disorders based on the ICF model: a survey of Korean physical therapists. PNF Mov 2022;20(3):359-70. 
  18. Korner M. Patient-centered care through internal and external participation in medical rehabilitation. Health 2013;5(6):48-55. 
  19. Sullivan JE, Andrews AW, Lanzino D, Perron AE, Potter KA. Outcome measures in neurological physical therapy practice: part II. A patient-centered process. J Neurol Phys Ther 2011;35(2):65-74. 
  20. Yun D, Choi J. Person-centered rehabilitation care and outcomes: a systematic literature review. Int J Nurs Stud 2019;93:74-83. 
  21. Oyake K, Sue K, Sumiya M, Tanaka S. Physical therapists use different motivational strategies for stroke rehabilitation tailored to an individual's condition: a qualitative study. Phys Ther 2023;103(6):pzad034. 
  22. Lee J, Park YT, Park YR, Lee JH. Review of national-level personal health records in advanced countries. Healthc Inform Res 2021;27(2):102-9. 
  23. Sullivan KJ, Tilson JK, Cen SY, Rose DK, Hershberg J, Correa A, et al. Fugl-Meyer assessment of sensorimotor function after stroke: standardized training procedure for clinical practice and clinical trials. Stroke 2011;42(2):427-32. 
  24. Lee H. Effectiveness of online vs offline education on the Fugl-Meyer assessment of lower extremity. Jeonju, Jeonju University, Master thesis. 2023. 
  25. Steiner WA, Ryser L, Huber E, Uebelhart D, Aeschlimann A, Stucki G. Use of the ICF model as a clinical problem-solving tool in physical therapy and rehabilitation medicine. Phys Ther 2002;82(11):1098-107. 
  26. Keeney T, Kumar A, Erler KS, Karmarkar AM. Making the case for patient-reported outcome measures in big-data rehabilitation research: implications for optimizing patient-centered care. Arch Phys Med Rehabil 2022;103(5S):S140-5. 
  27. Rimmer JH. Use of the ICF in identifying factors that impact participation in physical activity/rehabilitation among people with disabilities. Disabil Rehabil 2006;28(17):1087-95. 
  28. Salter K, Jutai JW, Teasell R, Foley NC, Bitensky J, Bayley M. Issues for selection of outcome measures in stroke rehabilitation: ICF Participation. Disabil Rehabil 2005;27(9):507-28. 
  29. Park SD, Yi SH, Kim JS. Exploring the relationship between international classification of functioning, disability, and health items linked to clinical assessments in children with cerebral palsy. Phys Ther Korea 2021;28(4):245-50. 
  30. Kim YG, Jung K, Park YT, Shin D, Cho SY, Yoon D, et al. Rate of electronic health record adoption in South Korea: a nationwide survey. Int J Med Inform 2017;101:100-7.