Background: Treatment outcomes of Dupuytren's disease depend largely on degree of contracture and biological severity. Longitudinal assessment of each is crucial for effective care and long-term outcome assessment. Ideally, each Dupuytren's patient should have ongoing interval evaluations. Because of the large number of Dupuytren's patients, it would be impractical and costly for health care professionals to examine every patient in person on a regular basis. Patient-based evaluations might provide a useful and cost-effective alternative to office-based examination.
Methods: Finger goniometry is the standard metric for office-based evaluation of Dupuytren's disease. This study's goal was to develop a new patient-reported goniometric system. The authors developed a completely Web-based goniometric software for patients to use without supervision and without undue effort or cost. They then evaluated the validity and precision of the core measurement system and the reliability of its patient-based application.
Results: With a correlation of 0.992 (p < 0.01), a mean deviation of -0.25 degree, and a standard deviation of 2.74 degrees in patient-based application, the authors found their goniometric software to be comparable to practitioner-based, conventional goniometry. The authors believe patient-based goniometry to be a sufficiently accurate, valid, and reliable approach for longitudinal clinical assessment of Dupuytren's disease.
Conclusions: Patient-based goniometric approaches have great potential for inexpensive, accurate, and accessible longitudinal assessment of the large population of Dupuytren's patients. Such approaches could help to substantially improve overall care of Dupuytren's disease through early diagnosis and timely treatment. In addition, being able to collect reliable patient data on a regular basis and on a larger scale could help improve understanding of the natural history of Dupuytren's disease.
Clinical Question/level Of Evidence: Diagnostic, I.
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http://dx.doi.org/10.1097/PRS.0000000000007057 | DOI Listing |
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