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dc.contributor.authorCurtin, Patrick
dc.contributor.authorConway, Alexandra
dc.contributor.authorMartin, Liu
dc.contributor.authorLin, Eugenia
dc.contributor.authorJayakumar, Prakash
dc.contributor.authorSwart, Eric F.
dc.date2022-08-11T08:09:57.000
dc.date.accessioned2022-08-23T16:50:31Z
dc.date.available2022-08-23T16:50:31Z
dc.date.issued2020-11-12
dc.date.submitted2021-01-07
dc.identifier.citation<p>Curtin P, Conway A, Martin L, Lin E, Jayakumar P, Swart E. Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review. J Pers Med. 2020 Nov 12;10(4):223. doi: 10.3390/jpm10040223. PMID: 33198106; PMCID: PMC7712817. <a href="https://doi.org/10.3390/jpm10040223">Link to article on publisher's site</a></p>
dc.identifier.issn2075-4426 (Linking)
dc.identifier.doi10.3390/jpm10040223
dc.identifier.pmid33198106
dc.identifier.urihttp://hdl.handle.net/20.500.14038/41676
dc.description.abstractWeb-based personalized predictive tools in orthopedic surgery are becoming more widely available. Despite rising numbers of these tools, many orthopedic surgeons may not know what tools are available, how these tools were developed, and how they can be utilized. The aim of this scoping review is to compile and synthesize the profile of existing web-based orthopedic tools. We conducted two separate PubMed searches-one a broad search and the second a more targeted one involving high impact journals-with the aim of comprehensively identifying all existing tools. These articles were then screened for functional tool URLs, methods regarding the tool's creation, and general inputs and outputs required for the tool to function. We identified 57 articles, which yielded 31 unique web-based tools. These tools involved various orthopedic conditions (e.g., fractures, osteoarthritis, musculoskeletal neoplasias); interventions (e.g., fracture fixation, total joint arthroplasty); outcomes (e.g., mortality, clinical outcomes). This scoping review highlights the availability and utility of a vast array of web-based personalized predictive tools for orthopedic surgeons. Increased awareness and access to these tools may allow for better decision support, surgical planning, post-operative expectation management, and improved shared decision-making.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=33198106&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rightsCopyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectorthopedics
dc.subjectpredictive tools
dc.subjectweb-based tools
dc.subjectHealth Information Technology
dc.subjectHealth Services Administration
dc.subjectHealth Services Research
dc.subjectOrthopedics
dc.titleCompilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review
dc.typeJournal Article
dc.source.journaltitleJournal of personalized medicine
dc.source.volume10
dc.source.issue4
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=5497&amp;context=oapubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/4467
dc.identifier.contextkey20969178
refterms.dateFOA2022-08-23T16:50:32Z
html.description.abstract<p>Web-based personalized predictive tools in orthopedic surgery are becoming more widely available. Despite rising numbers of these tools, many orthopedic surgeons may not know what tools are available, how these tools were developed, and how they can be utilized. The aim of this scoping review is to compile and synthesize the profile of existing web-based orthopedic tools. We conducted two separate PubMed searches-one a broad search and the second a more targeted one involving high impact journals-with the aim of comprehensively identifying all existing tools. These articles were then screened for functional tool URLs, methods regarding the tool's creation, and general inputs and outputs required for the tool to function. We identified 57 articles, which yielded 31 unique web-based tools. These tools involved various orthopedic conditions (e.g., fractures, osteoarthritis, musculoskeletal neoplasias); interventions (e.g., fracture fixation, total joint arthroplasty); outcomes (e.g., mortality, clinical outcomes). This scoping review highlights the availability and utility of a vast array of web-based personalized predictive tools for orthopedic surgeons. Increased awareness and access to these tools may allow for better decision support, surgical planning, post-operative expectation management, and improved shared decision-making.</p>
dc.identifier.submissionpathoapubs/4467
dc.contributor.departmentDepartment of Orthopedics and Physical Rehabilitation
dc.source.pages223


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Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).