Predicting patient outcomes: a pilot study of #cancer patient self-assessment reveals patient-reported levels of fatigue and physical function correlate to activity levels but cannot predict unexpected medical events. Read the full paper: https://t.co/SX7m
RT @teamoncology: A great collaboration with @uscmichelsoncs. Physical Function & Fatigue PROs show good correspondence with steps/hour mak…
RT @teamoncology: A great collaboration with @uscmichelsoncs. Physical Function & Fatigue PROs show good correspondence with steps/hour mak…
A great collaboration with @uscmichelsoncs. Physical Function & Fatigue PROs show good correspondence with steps/hour making them useful tools for oncologists to improve their PS assessment. #endcancer #OncoAlert https://t.co/6QTYNUTIaW
RT @teamoncology: Performance Status with more accuracy. We currently use crude methods to determine the PS, which is the most predictive p…
Performance Status with more accuracy. We currently use crude methods to determine the PS, which is the most predictive prognostic factors for cancer patients. The collaborative research with @uscmichelsoncsi & @pkuhn1 leads us to a quantitative PRO.
Patient reported outcomes can improve performance status assessment: a pilot study. https://t.co/3ZkcOkI5je
RT @JPRO_ISOQOL: Patient reported outcomes can improve performance status assessment: a pilot study https://t.co/YrjG0wzApk
Patient reported outcomes can improve performance status assessment: a pilot study https://t.co/YrjG0wzApk