Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Abstract

Patient-reported outcomes are important measures of clinical care and surgical outcomes. As these measures are increasingly integrated into clinical practice, there is also a need to translate collected data into valuable information to better understand patients’ health trajectories and improve the value of surgical care.

Furthermore, the growing evidence of quality-of-life (QoL) as an important predictor of outcomes suggests that a better understanding of patients’ QoL trajectories can reveal important information on disease progression. Using data from a registry cohort of patients undergoing total knee replacement (TKR) surgery, this study aims to identify unique QoL trajectory groups using latent class growth analysis and to examine patient characteristics of identified trajectories.

There appears to beimportant unobserved heterogeneity in QoL trajectories in patients undergoing TKR. Associating QoL trajectories with patient characteristics can help identify subgroups for whom TKR may be of higher or lower
value, thus facilitate the rational deployment of TKR to those who stand to benefit the most while targeting
others for more appropriate non-surgical intervention.

Forthcoming events

Title TBC

Monday, 15 April 2024, 1pm to 2pm @ BDI/OxPop Building LG seminar rooms

The effects of BCG on non-specific resistance to respiratory infection

Monday, 13 May 2024, 1pm to 2pm @ BDI/OxPop Building LG seminar rooms

Title TBC

Monday, 20 May 2024, 1pm to 2pm @ BDI/OxPop Building LG seminar rooms