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Exploring Clinician Experiences With a Digital Platform Supporting Orthopedic Care That Integrates Patient-Generated Health Data: Qualitative Study of Early Users.

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Τίτλος: Exploring Clinician Experiences With a Digital Platform Supporting Orthopedic Care That Integrates Patient-Generated Health Data: Qualitative Study of Early Users.
Συγγραφείς: Katz DS; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234., Gooch D; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234., Price L; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234., Rauf I; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234., Pearce O; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234.; Trauma and Orthopaedics, Milton Keynes University Hospital, Milton Keynes, United Kingdom., Price B; School of Computing and Communications, The Open University, Walton Hall, Milton Keynes, MK7 6AA, United Kingdom, 44 1908858234.
Πηγή: JMIR human factors [JMIR Hum Factors] 2025 Aug 29; Vol. 12, pp. e65216. Date of Electronic Publication: 2025 Aug 29.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101666561 Publication Model: Electronic Cited Medium: Internet ISSN: 2292-9495 (Electronic) Linking ISSN: 22929495 NLM ISO Abbreviation: JMIR Hum Factors Subsets: MEDLINE
Imprint Name(s): Original Publication: Toronto : JMIR Publications Inc, [2014]-
Ιατρικοί όροι (MeSH): Physical Therapists*/psychology , Physical Therapists*/statistics & numerical data , Patient Generated Health Data* , Orthopedics*, Humans ; Qualitative Research ; Male ; Female
Περίληψη: Background: Digital care platforms that integrate patient-generated health data (PGHD) alongside education and communication tools have been recognized as potential instruments in transforming health care from clinician-centered to a more patient-centered approach. This transformation is driven by the potential of PGHD to provide deeper insights into patients' conditions, facilitate personalized care, improve patient quality of life, reduce inefficiencies in data collection, and empower patients. Yet, actual implementation within clinical settings is still at early stages; therefore, impacts on clinical care remain limited.
Objective: This study sought to explore the benefits, challenges, and opportunities of integrating PGHD into orthopedic care by analyzing the reflections of early adopter surgeons and physiotherapists who have used a digital care management platform.
Methods: This qualitative study used thematic analysis of interviews conducted with surgeons and physiotherapists (n=9) from a clinical unit that was among the first to trial "mymobility," an industry-produced software platform (Zimmer Biomet). The participants were recruited using snowball sampling, and interviews were conducted from June to July 2022. The interviews focused on work practices, use of digital tools, experiences with PGHD, and experiences with the mymobility software. Thematic analysis was conducted using NVivo software (QSR International Pty Ltd), focusing on identifying key themes and insights.
Results: The study identified several benefits of integrating PGHD into orthopedic care, including improved patient education, enhanced communication and assessment, and increased patient motivation and adherence. However, several challenges were also noted, such as increased clinician workload, questionable data utility, lack of patient centricity, and inability to tailor software to clinical contexts. Suggested opportunities included improving dashboard design, personalizing physiotherapy, and using collected data for improving clinical care.
Conclusions: The integration of PGHD into orthopedic care shows promise, largely in areas suggested by the literature. However, significant challenges remain. Future research should focus on addressing solvable challenges, such as improving software user interface design and functionality, while embracing the possibility that some challenges lack clear solutions and will likely require careful balancing of design tensions. The findings highlight the need for ongoing development and refinement of PGHD-inclusive systems to better support clinical practice and patient outcomes.
(© Dmitri S Katz, Daniel Gooch, Linda Price, Irum Rauf, Oliver Pearce, Blaine Price. Originally published in JMIR Human Factors (https://humanfactors.jmir.org).)
References: JAMIA Open. 2020 Dec 05;3(4):619-627. (PMID: 33758798)
CA Cancer J Clin. 2020 May;70(3):182-199. (PMID: 32311776)
J Adv Nurs. 2020 Jun;76(6):1436-1448. (PMID: 32133684)
J Med Internet Res. 2024 May 31;26:e49320. (PMID: 38820580)
BMC Med. 2018 Jun 20;16(1):95. (PMID: 29921272)
J Arthroplasty. 2017 Sep;32(9S):S162-S165. (PMID: 28343831)
Arthroplast Today. 2019 Mar 14;5(1):61-63. (PMID: 31020024)
Curr Probl Pediatr Adolesc Health Care. 2021 Nov;51(11):101103. (PMID: 34799255)
J Clin Oncol. 2011 Mar 10;29(8):954-6. (PMID: 21282536)
J Physiother. 2013 Dec;59(4):219-26. (PMID: 24287215)
BMJ Qual Saf. 2016 Jul;25(7):509-17. (PMID: 26376674)
J Am Acad Orthop Surg. 2015 Nov;23(11):e60-71. (PMID: 26498587)
Health Informatics J. 2020 Dec;26(4):2689-2706. (PMID: 32567460)
Aust Health Rev. 2012 May;36(2):130-5. (PMID: 22624631)
JMIR Mhealth Uhealth. 2021 Jan 26;9(1):e22846. (PMID: 33496677)
Patient Educ Couns. 2022 Jul;105(7):1679-1688. (PMID: 34848112)
Bone Joint J. 2016 Nov;98-B(11):1450-1454. (PMID: 27803219)
Age Ageing. 2020 Apr 27;49(3):425-431. (PMID: 31868901)
Yearb Med Inform. 2017 Aug;26(1):152-159. (PMID: 29063559)
JMIR Hum Factors. 2016 Oct 19;3(2):e26. (PMID: 27760726)
JMIR Diabetes. 2019 Jul 09;4(3):e14002. (PMID: 31290396)
Contributed Indexing: Keywords: PGHD; clinician workload; digital health; health informatics; orthopedic care; orthopedics; patient engagement; patient-centered care; patient-generated health data; physiotherapists; quality of life; remote monitoring; surgeons
Entry Date(s): Date Created: 20250829 Date Completed: 20250829 Latest Revision: 20260828
Update Code: 20260828
PubMed Central ID: PMC12396794
DOI: 10.2196/65216
PMID: 40882221
Βάση Δεδομένων: MEDLINE
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  Data: Background: Digital care platforms that integrate patient-generated health data (PGHD) alongside education and communication tools have been recognized as potential instruments in transforming health care from clinician-centered to a more patient-centered approach. This transformation is driven by the potential of PGHD to provide deeper insights into patients' conditions, facilitate personalized care, improve patient quality of life, reduce inefficiencies in data collection, and empower patients. Yet, actual implementation within clinical settings is still at early stages; therefore, impacts on clinical care remain limited.<br />Objective: This study sought to explore the benefits, challenges, and opportunities of integrating PGHD into orthopedic care by analyzing the reflections of early adopter surgeons and physiotherapists who have used a digital care management platform.<br />Methods: This qualitative study used thematic analysis of interviews conducted with surgeons and physiotherapists (n=9) from a clinical unit that was among the first to trial "mymobility," an industry-produced software platform (Zimmer Biomet). The participants were recruited using snowball sampling, and interviews were conducted from June to July 2022. The interviews focused on work practices, use of digital tools, experiences with PGHD, and experiences with the mymobility software. Thematic analysis was conducted using NVivo software (QSR International Pty Ltd), focusing on identifying key themes and insights.<br />Results: The study identified several benefits of integrating PGHD into orthopedic care, including improved patient education, enhanced communication and assessment, and increased patient motivation and adherence. However, several challenges were also noted, such as increased clinician workload, questionable data utility, lack of patient centricity, and inability to tailor software to clinical contexts. Suggested opportunities included improving dashboard design, personalizing physiotherapy, and using collected data for improving clinical care.<br />Conclusions: The integration of PGHD into orthopedic care shows promise, largely in areas suggested by the literature. However, significant challenges remain. Future research should focus on addressing solvable challenges, such as improving software user interface design and functionality, while embracing the possibility that some challenges lack clear solutions and will likely require careful balancing of design tensions. The findings highlight the need for ongoing development and refinement of PGHD-inclusive systems to better support clinical practice and patient outcomes.<br /> (© Dmitri S Katz, Daniel Gooch, Linda Price, Irum Rauf, Oliver Pearce, Blaine Price. Originally published in JMIR Human Factors (https://humanfactors.jmir.org).)
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  Data: JAMIA Open. 2020 Dec 05;3(4):619-627. (PMID: <searchLink fieldCode="PM" term="%2233758798%22">33758798)</searchLink><br />CA Cancer J Clin. 2020 May;70(3):182-199. (PMID: <searchLink fieldCode="PM" term="%2232311776%22">32311776)</searchLink><br />J Adv Nurs. 2020 Jun;76(6):1436-1448. (PMID: <searchLink fieldCode="PM" term="%2232133684%22">32133684)</searchLink><br />J Med Internet Res. 2024 May 31;26:e49320. (PMID: <searchLink fieldCode="PM" term="%2238820580%22">38820580)</searchLink><br />BMC Med. 2018 Jun 20;16(1):95. (PMID: <searchLink fieldCode="PM" term="%2229921272%22">29921272)</searchLink><br />J Arthroplasty. 2017 Sep;32(9S):S162-S165. (PMID: <searchLink fieldCode="PM" term="%2228343831%22">28343831)</searchLink><br />Arthroplast Today. 2019 Mar 14;5(1):61-63. (PMID: <searchLink fieldCode="PM" term="%2231020024%22">31020024)</searchLink><br />Curr Probl Pediatr Adolesc Health Care. 2021 Nov;51(11):101103. (PMID: <searchLink fieldCode="PM" term="%2234799255%22">34799255)</searchLink><br />J Clin Oncol. 2011 Mar 10;29(8):954-6. (PMID: <searchLink fieldCode="PM" term="%2221282536%22">21282536)</searchLink><br />J Physiother. 2013 Dec;59(4):219-26. (PMID: <searchLink fieldCode="PM" term="%2224287215%22">24287215)</searchLink><br />BMJ Qual Saf. 2016 Jul;25(7):509-17. (PMID: <searchLink fieldCode="PM" term="%2226376674%22">26376674)</searchLink><br />J Am Acad Orthop Surg. 2015 Nov;23(11):e60-71. (PMID: <searchLink fieldCode="PM" term="%2226498587%22">26498587)</searchLink><br />Health Informatics J. 2020 Dec;26(4):2689-2706. (PMID: <searchLink fieldCode="PM" term="%2232567460%22">32567460)</searchLink><br />Aust Health Rev. 2012 May;36(2):130-5. (PMID: <searchLink fieldCode="PM" term="%2222624631%22">22624631)</searchLink><br />JMIR Mhealth Uhealth. 2021 Jan 26;9(1):e22846. (PMID: <searchLink fieldCode="PM" term="%2233496677%22">33496677)</searchLink><br />Patient Educ Couns. 2022 Jul;105(7):1679-1688. (PMID: <searchLink fieldCode="PM" term="%2234848112%22">34848112)</searchLink><br />Bone Joint J. 2016 Nov;98-B(11):1450-1454. (PMID: <searchLink fieldCode="PM" term="%2227803219%22">27803219)</searchLink><br />Age Ageing. 2020 Apr 27;49(3):425-431. (PMID: <searchLink fieldCode="PM" term="%2231868901%22">31868901)</searchLink><br />Yearb Med Inform. 2017 Aug;26(1):152-159. (PMID: <searchLink fieldCode="PM" term="%2229063559%22">29063559)</searchLink><br />JMIR Hum Factors. 2016 Oct 19;3(2):e26. (PMID: <searchLink fieldCode="PM" term="%2227760726%22">27760726)</searchLink><br />JMIR Diabetes. 2019 Jul 09;4(3):e14002. (PMID: <searchLink fieldCode="PM" term="%2231290396%22">31290396)</searchLink>
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