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Objectives: To compare academic performance and high school completion of young people admitted to hospital with epilepsy and matched peers from the general population not admitted to hospital with epilepsy during the study period.Methods: A population-based matched case-comparison cohort study of young people aged ≤18 years hospitalised with epilepsy during 2005-2018 in New South Wales, Australia, using linked birth, health, education, and mortality records. The comparison cohort was matched on age, sex, and residential postcode. Generalised linear mixed modelling examined risk of school performance below the national minimum standard (NMS), and generalised linear regression examined risk of not completing high school for young people hospitalised with epilepsy compared to matched peers not hospitalised with epilepsy during the study period. Adjusted relative risks (ARRs) with 95% confidence intervals (CIs) were derived from the final models.Results: Young people hospitalised with epilepsy had more than 3 times higher risk of not achieving the NMS for numeracy (ARR: 3.40; 95%CI 2.76‒4.18) and reading (ARR: 3.15; 95%CI 2.60‒3.82), compared to matched peers. Young people hospitalised with epilepsy had a 78% higher risk of not completing year 10 (ARR: 1.78; 95%CI 1.14‒2.79), 18% higher risk of not completing year 11 (ARR: 1.18; 95%CI 0.97‒1.45), and 38% higher risk of not completing year 12 (ARR: 1.38; 95%CI 1.14‒1.67), compared to matched counterparts.Conclusion: Young people hospitalised with epilepsy have higher risk of not achieving minimum standards for numeracy and reading and not completing high school compared to matched peers. There is a need for effective strategies and interventions (e.g., early seizure control and improved multidisciplinary management and care coordination) to minimise the potential adverse effect of epilepsy on education and its sequelae such as early school leaving, unemployment and poverty in adulthood. [ABSTRACT FROM AUTHOR]

Context The Eastern Cooperative Oncology Group/World Health Organization Performance Status (ECOG/WHO PS) is a prognostic factor. It should be used in analyzing health outcomes such as risk-adjusted hospital performance models in cancer populations. Performance status is rarely recorded in surgery, often the place where cancer is first diagnosed. Could a universally collected preoperative measure be substituted for ECOG/WHO PS? Objectives The aim of this study was to assess whether the American Society of Anesthesiologists (ASA) score could be used as a proxy for ECOG/WHO PS in risk adjustment models predicting extended length of stay (LOS) after cancer surgery. Methods Data were obtained from the BioGrid Colorectal Cancer Database for 2540 treatment episodes (2528 patients) at five hospitals in Victoria and Tasmania, Australia, from 2003 to 2012. Using extended LOS as the index outcome measure, a risk adjustment model was developed using patient demographic and clinical variables. The ECOG/WHO PS and ASA score were added to this model, and the relative percentage change in hospital coefficients were examined. Model fit was compared using Akaike's information criterion (AIC) and concordance statistic (c). Results Adding ECOG/WHO PS or ASA score to the model resulted in relative changes in the hospital coefficients of up to 27%. The ECOG/WHO PS and ASA score performed similarly, with addition of either improving the AIC from 988.2 to 976.3. Inclusion of both measures further improved AIC to 972.4. Conclusion The ASA score can be used as a proxy for ECOG/WHO PS in risk adjustment models predicting cancer surgery. Further studies should assess its broader application for other outcomes and in other settings. [ABSTRACT FROM AUTHOR]

Background Access to specialist services may influence stage at cancer diagnosis and whether cancer is ever adequately staged. We investigated associations of distance to the nearest accessible specialist hospital (NASH) with likelihood of advanced or unknown stage cancer at diagnosis in Australian non-small cell lung cancer (NSCLC) patients. Methods Cancer registry records for 22,260 consecutively diagnosed NSCLC patients, 11,147 with linked records of hospital admissions, were analysed. Distances from patients’ homes to the NASH were measured using geographical coordinates. Multinomial logistic regression analysis examined associations of distance from the NASH, type of hospital of treatment and other characteristics of NSCLC patients with advanced and unknown cancer stage. Results Odds of advanced stage and unknown stage NSCLC were higher in people who lived 40–99 km, OR 1.18 (95%CI 1.07–1.31) advanced stage and 1.18 (1.04–1.33) unknown stage, and 100 km+ from the NASH, OR 1.17 (1.08–1.27) advanced stage and OR 1.38 (1.25–1.52) unknown stage (reference group patients living 0–39 km from the NASH). For hospitalised patients likelihoods of advanced stage and unknown stage NSCLC were also significantly higher in patients treated in general hospitals than in those treated in specialist hospitals. When both distance and hospital type were considered, patients who lived 100 km+ from the NASH had low odds of unknown stage cancer if admitted to a specialist hospital, OR 0.63 (95%CI 0.47–0.85), but a high odds of unknown stage if admitted to a general hospital, OR 2.13 (1.78–2.54). These associations were independent of age, sex, socioeconomic status, comorbidity, period and method of diagnosis, and histopathological subtype. Conclusions People living remotely from accessible specialist services are at greatest risk of advanced stage or unknown stage disease if diagnosed with NSCLC. This risk is greater again if the patient is treated in a general hospital. Barriers to referral for specialist care require investigation. [ABSTRACT FROM AUTHOR]