Global QoL prediction Sample Clauses

Global QoL prediction. ‌ Overall, prediction of mental health was somewhat more accurate than prediction of global QoL despite the substantial overlap between groupings according to mental health symptoms and global QoL (68%). Specifically, the prediction models correctly classified 77% and 78% of the cases that displayed clinically significant decline in global QoL at M12 or M18, respectively. Moreover, the model identified the patients who maintained adequate global QoL at M12 or M18 with approximately 74% and 77% certainty, respectively. A potential reason for this might be that global QoL is a general, overarching concept which encompasses a variety of personal evaluations regarding physical, psychological, and social well-being, as well as self-rated health and patient perspective of their future, which very often change over the course of illness. In this regard, global QoL is indeed a very useful but also a volatile and thus difficult to predict variable. An additional reason may refer to the way that global QoL was assessed. That is, with two general items, whereas mental health was evaluated with a set of concrete and easy to understand and report symptoms. Moreover, prediction accuracy of M12 outcomes is only slightly higher than prediction accuracy of M18 outcomes. As trajectory analyses suggest (see Section 1.5) both overall mental health and global QoL has largely reached plateau by month 12 post-diagnosis for the majority of participants. This notion is supported by the fact that the overlap between patient subgroups formed on the basis of M12 outcomes and those formed by also considering M18 outcomes was very high (95 for mental health and 84 for global QoL). Finally, it is worth noting that few medical variables emerged as significant predictors of the M12 (or M18) overall mental health or QoL change. These included specific symptoms related to BC treatments10,11, indices of immune response and even mild thrombocytopenia12,13. The role of BC treatments or subsequent mental and functional well-being has been highlighted by 10 Grusdat NP, Xxxxxxx A, Xxxxxxxx M, Xxxxxxxx J, Xxxxxxxx B, Xxxxxx XX, Xxxxxx H. Routine cancer treatments and their impact on physical function, symptoms of cancer-related fatigue, anxiety, and depression. Support Care Cancer. 2022 Jan 11. doi: 10.1007/s00520-021-06787-5. 11 Xxxxx, V., Xxxxxxxx, X., & Xxxxxxxxxx, G. (2020). Injured self: autobiographical memory, self-concept, and mental health risk in breast cancer survivors. Frontiers in Psy...
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