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The Association Between Preoperative Patient-Reported Health Status and Postoperative Survey Completion Following Arthroplasty: Registry-Based Cohort Study
- Source :
- JMIR Perioperative Medicine, Vol 5, Iss 1, p e33414 (2022)
- Publication Year :
- 2022
- Publisher :
- JMIR Publications, 2022.
-
Abstract
- BackgroundPatient-reported outcome measures (PROMs) are commonly used to report outcomes after hip and knee arthroplasty, but response rates are rarely complete. Given that preoperative health status (as measured by PROMs) is a strong predictor of outcomes (using the same measures) and that these outcomes may influence the response rate, it is possible that postoperative response rates (the proportion of patients providing preoperative PROMs who also provide postoperative PROMs) may be influenced by preoperative health status. ObjectiveThis study aims to test the association between preoperative PROMs and postoperative response status following hip and knee arthroplasty. MethodsData from the PROMs program of the Australian national joint registry were used. The preoperative PROMs were the Oxford Hip Score or Oxford Knee Score, The EQ-5D Utility Index, and the EQ visual analog scale (VAS) for overall health. Logistic regression, adjusting for age, sex, BMI, and the American Society of Anesthesiologists (ASA) Physical Status Classification System, was used to test the association between each preoperative PROM and response status for the 6-month postsurgery survey. ResultsData from 9499 and 16,539 patients undergoing elective total hip arthroplasty (THA) and total knee arthroplasty (TKA) for osteoarthritis, respectively, were included in the analysis. Adjusting for age, sex, BMI, and ASA, there was no significant difference in response status at the postoperative follow-up based on the preoperative Oxford Hip or Knee Scores (odds ratio [OR] 1.00, 95% CI 0.99-1.01 for both; P=.70 for THA and P=.85 for TKA). Healthier patients (based on the EQ VAS scores) preoperatively were more likely to respond postoperatively, but this difference was negligible (OR 1.00, 95% CI 1.00-1.01 for THA and TKA; P=.004 for THA and P
- Subjects :
- Computer applications to medicine. Medical informatics
R858-859.7
Surgery
RD1-811
Subjects
Details
- Language :
- English
- ISSN :
- 25619128
- Volume :
- 5
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- JMIR Perioperative Medicine
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2c3f825bd4bd8975cebf89c34c169
- Document Type :
- article
- Full Text :
- https://doi.org/10.2196/33414