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dc.contributor.authorFranklin, Patricia D
dc.contributor.authorOatis, Carol A
dc.contributor.authorZheng, Hua
dc.contributor.authorWestby, Marie D
dc.contributor.authorPeter, Wilfred
dc.contributor.authorLaraque-Two Elk, Jeremie
dc.contributor.authorRizk, Joseph
dc.contributor.authorBenbow, Ellen
dc.contributor.authorLi, Wenjun
dc.date.accessioned2022-11-22T17:07:06Z
dc.date.available2022-11-22T17:07:06Z
dc.date.issued2022-10-27
dc.identifier.citationFranklin PD, Oatis CA, Zheng H, Westby MD, Peter W, Laraque-Two Elk J, Rizk J, Benbow E, Li W. Web-Based System to Capture Consistent and Complete Real-world Data of Physical Therapy Interventions Following Total Knee Replacement: Design and Evaluation Study. JMIR Rehabil Assist Technol. 2022 Oct 27;9(4):e37714. doi: 10.2196/37714. PMID: 36301608; PMCID: PMC9650563.en_US
dc.identifier.issn2369-2529
dc.identifier.doi10.2196/37714en_US
dc.identifier.pmid36301608
dc.identifier.urihttp://hdl.handle.net/20.500.14038/51291
dc.description.abstractBackground: Electronic health records (EHRs) have the potential to facilitate consistent clinical data capture to support excellence in patient care, quality improvement, and knowledge generation. Despite widespread EHR use, the vision to transform health care system and its data to a "learning health care system" generating knowledge from real-world data is limited by the lack of consistent, structured clinical data. Objective: The purpose of this paper was to demonstrate the design of a web-based structured clinical intervention data capture system and its evaluation in practice. The use case was ambulatory physical therapy (PT) treatment after total knee replacement (TKR), one of the most common and costly procedures today. Methods: To identify the PT intervention type and intensity (or dose) used to treat patients with knee arthritis following TKR, an iterative user-centered design process refined an initial list of PT interventions generated during preliminary chart reviews. Input from practicing physical therapists and national and international experts refined and categorized the interventions. Next, a web-based, hierarchical structured system for intervention and intensity documentation was designed and deployed. Results: The PT documentation system was implemented by 114 physical therapists agreeing to record all interventions at patient visits. Data for 161 patients with 2615 PT visits were entered by 83 physical therapists. No technical problems with data entry were reported, and data entry required less than 2 minutes per visit. A total of 42 (2%) interventions could not be categorized and were recorded using free text. Conclusions: The use of user-centered design principles provides a road map for developing clinically feasible data capture systems that employ structured collection of uniform data for use by multiple practitioners across institutions to complement and augment existing EHRs. Secondarily, these data can be analyzed to define best practices and disseminate knowledge to practice.en_US
dc.language.isoenen_US
dc.relation.ispartofJMIR Rehabilitation and Assistive Technologiesen_US
dc.relation.urlhttps://doi.org/10.2196/37714en_US
dc.rights©Patricia D Franklin, Carol A Oatis, Hua Zheng, Marie D Westby, Wilfred Peter, Jeremie Laraque-Two Elk, Joseph Rizk, Ellen Benbow, Wenjun Li. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org), 27.10.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Rehabilitation and Assistive Technology, is properly cited. The complete bibliographic information, a link to the original publication on https://rehab.jmir.org/, as well as this copyright and license information must be included.en_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectclinical interventionen_US
dc.subjectdataen_US
dc.subjectelectronic health recordsen_US
dc.subjectkneeen_US
dc.subjectknee replacementen_US
dc.subjectphysical therapyen_US
dc.subjectreal-world dataen_US
dc.subjectreal-world evidenceen_US
dc.subjectstructured dataen_US
dc.subjecttherapyen_US
dc.subjecttotal knee replacementen_US
dc.subjectweb-based clinical data captureen_US
dc.titleWeb-Based System to Capture Consistent and Complete Real-world Data of Physical Therapy Interventions Following Total Knee Replacement: Design and Evaluation Studyen_US
dc.typeJournal Articleen_US
dc.source.journaltitleJMIR rehabilitation and assistive technologies
dc.source.volume9
dc.source.issue4
dc.source.beginpagee37714
dc.source.endpage
dc.source.countryCanada
dc.identifier.journalJMIR rehabilitation and assistive technologies
refterms.dateFOA2022-11-22T17:07:07Z
dc.contributor.departmentOrthopedics and Physical Rehabilitationen_US


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©Patricia D Franklin, Carol A Oatis, Hua Zheng, Marie D Westby, Wilfred Peter, Jeremie Laraque-Two Elk, Joseph Rizk, Ellen
Benbow, Wenjun Li. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org), 27.10.2022.
This is an open-access article distributed under the terms of the Creative Commons Attribution License
(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work, first published in JMIR Rehabilitation and Assistive Technology, is properly cited. The complete
bibliographic information, a link to the original publication on https://rehab.jmir.org/, as well as this copyright and license
information must be included.
Except where otherwise noted, this item's license is described as ©Patricia D Franklin, Carol A Oatis, Hua Zheng, Marie D Westby, Wilfred Peter, Jeremie Laraque-Two Elk, Joseph Rizk, Ellen Benbow, Wenjun Li. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org), 27.10.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Rehabilitation and Assistive Technology, is properly cited. The complete bibliographic information, a link to the original publication on https://rehab.jmir.org/, as well as this copyright and license information must be included.