Thresholds for clinical importance were defined for the European Organisation for Research and Treatment of Cancer Computer Adaptive Testing Core-an adaptive measure of core quality of life domains in oncology clinical practice and research

Objectives The aim of this article was to establish thresholds for clinical importance (TCIs) for the European Organisation for Research and Treatment of Cancer (EORTC) Computer Adaptive Testing (CAT) Core measure, the new adaptive version of the EORTC QLQ-C30. Study Design and Setting For our diagnostic study, we recruited cancer patients with mixed diagnoses and treatments from six European countries. Patients completed the EORTC CAT Core and a questionnaire with anchor items assessing criteria for clinical importance (limitations in everyday life, need for help/care, and worries by the patient/family/partner) for each EORTC CAT Core domain. We used a binary variable summarizing the anchor items for determining TCIs and for calculating the area under the curve (AUC) in receiving operator characteristic analysis as a measure of diagnostic accuracy. Results Using data from 498 cancer patients (mean age 60.4 years, 55.2% women), we established TCIs for the 14 domains of the EORTC CAT Core. Median AUC across domains was 0.93 (range 0.84–0.94). Median sensitivity and specificity of the TCIs were 0.91 (range 0.80–0.96) and 0.77 (range 0.66–0.84), respectively. TCIs and AUCs were largely consistent across patient groups. Conclusion We have generated TCIs for the 14 functional health and symptom domains of the EORTC CAT Core. The EORTC CAT Core showed high diagnostic accuracy in identifying clinically important symptoms and functional impairments

Thresholds for clinical importance were established to improve interpretation of the EORTC QLQ-C30 in clinical practice and research

To establish thresholds for clinical importance (TCIs) for the five functioning and nine symptom scales of the EORTC QLQ-C30 questionnaire

Exploring variation in patient access of post-discharge physiotherapy following total hip and knee arthroplasty under a choice based system in the UK: an observational cohort study

Objectives: To assess a targeted ‘therapy as required’ model of post-discharge outpatient physiotherapy provision. Specifically, we investigated what proportion of patients accessed post-discharge physiotherapy following total hip arthroplasty (THA) and total knee arthroplasty (TKA), whether accessing therapy was associated with post-arthroplasty patient reported outcomes and whether it was possible to predict which patients would access post-discharge physiotherapy from pre-operative data.Design Prospective, observational, longitudinal cohort study.Setting: Single National Health Service orthopaedic teaching hospital in the UK.Participants: 1395 patients undergoing total hip arthroplasty and 1374 patients undergoing total knee arthroplasty.Primary and secondary outcome measures: Self-reported access of post-discharge physiotherapy, the Oxford Hip or Knee Score, EuroQol 5-dimension questionnaire and post-operative surgical episode satisfaction metric.Results: 662 (48.2%) patients with TKA and 493 (35.3%) patients with THA accessed additional post-discharge physiotherapy. Patient-reported outcomes (

Differential predictors for alcohol use in adolescents as a function of familial risk

Abstract: Traditional models of future alcohol use in adolescents have used variable-centered approaches, predicting alcohol use from a set of variables across entire samples or populations. Following the proposition that predictive factors may vary in adolescents as a function of family history, we used a two-pronged approach by first defining clusters of familial risk, followed by prediction analyses within each cluster. Thus, for the first time in adolescents, we tested whether adolescents with a family history of drug abuse exhibit a set of predictors different from adolescents without a family history. We apply this approach to a genetic risk score and individual differences in personality, cognition, behavior (risk-taking and discounting) substance use behavior at age 14, life events, and functional brain imaging, to predict scores on the alcohol use disorders identification test (AUDIT) at age 14 and 16 in a sample of adolescents (N = 1659 at baseline, N = 1327 at follow-up) from the IMAGEN cohort, a longitudinal community-based cohort of adolescents. In the absence of familial risk (n = 616), individual differences in baseline drinking, personality measures (extraversion, negative thinking), discounting behaviors, life events, and ventral striatal activation during reward anticipation were significantly associated with future AUDIT scores, while the overall model explained 22% of the variance in future AUDIT. In the presence of familial risk (n = 711), drinking behavior at age 14, personality measures (extraversion, impulsivity), behavioral risk-taking, and life events were significantly associated with future AUDIT scores, explaining 20.1% of the overall variance. Results suggest that individual differences in personality, cognition, life events, brain function, and drinking behavior contribute differentially to the prediction of future alcohol misuse. This approach may inform more individualized preventive interventions

Differential predictors for alcohol use in adolescents as a function of familial risk

Abstract: Traditional models of future alcohol use in adolescents have used variable-centered approaches, predicting alcohol use from a set of variables across entire samples or populations. Following the proposition that predictive factors may vary in adolescents as a function of family history, we used a two-pronged approach by first defining clusters of familial risk, followed by prediction analyses within each cluster. Thus, for the first time in adolescents, we tested whether adolescents with a family history of drug abuse exhibit a set of predictors different from adolescents without a family history. We apply this approach to a genetic risk score and individual differences in personality, cognition, behavior (risk-taking and discounting) substance use behavior at age 14, life events, and functional brain imaging, to predict scores on the alcohol use disorders identification test (AUDIT) at age 14 and 16 in a sample of adolescents (N = 1659 at baseline, N = 1327 at follow-up) from the IMAGEN cohort, a longitudinal community-based cohort of adolescents. In the absence of familial risk (n = 616), individual differences in baseline drinking, personality measures (extraversion, negative thinking), discounting behaviors, life events, and ventral striatal activation during reward anticipation were significantly associated with future AUDIT scores, while the overall model explained 22% of the variance in future AUDIT. In the presence of familial risk (n = 711), drinking behavior at age 14, personality measures (extraversion, impulsivity), behavioral risk-taking, and life events were significantly associated with future AUDIT scores, explaining 20.1% of the overall variance. Results suggest that individual differences in personality, cognition, life events, brain function, and drinking behavior contribute differentially to the prediction of future alcohol misuse. This approach may inform more individualized preventive interventions