An ecologically sensitive measure of executive cognition (the Breakfast Task) improves prediction of functional outcome in schizophrenia.

Previous work has found that the Breakfast Task (BT), a computerized, ecologically informed executive ability measure, is sensitive to group differences in aging, acquired brain injury, and Parkinson's disease. We investigated whether this measure improves the prediction of functional status over and above standard measures of general intellectual ability, relationship perception, life skills, and symptom severity in individuals with schizophrenia. Regression analyses were conducted to evaluate the joint and incremental validity of the BT in predicting functional disability scores on the World Health Organization Disability Assessment Scale (WHODAS 2.0). Analyses with combined patient (n = 25) and control (n = 32) participants showed that participant status (patients versus control) was the only significant predictor of functional outcome. However, in the patient data, the proportion of variance accounted for improved significantly (model R2 of 4% vs. 25%) when BT scores were added to a model containing clinical (Brief Psychiatric Rating Scale), social (Relationships Across Domains), intellectual (Wechsler Abbreviated Scale of Intelligence), and life skills (Canadian Objective Assessment of Life Skills) measures. Results suggest that the BT, a tool that captures complex executive functioning, improves the prediction of disability in patients with schizophrenia and has potential assessment applications.

Cognitive decline and impairment in schizophrenia spectrum disorders reconsidered.

BACKGROUND: This study applied an algorithm developed to identify schizophrenia spectrum disorder patients with probable decrements between estimated premorbid and current cognitive ability (Keefe et al., 2005). Cognitive trajectories and associated functional status were examined in patients and control participants. METHODS: Patients with schizophrenia or schizoaffective disorder (n = 139) and control participants (n = 63) completed measures of verbal and working memory, processing speed, verbal fluency, reading ability and non-verbal reasoning. A predicted cognitive composite score was generated using control participants' parental education and reading scores, consistent with methods in Keefe et al. (2005), and compared to current performance. Three performance trajectory profiles were identified: decrement, stable, and increment. Functionality and clinical status were assessed with the Multidimensional Scale of Independent Functioning (MSIF) and the Positive and Negative Syndrome Scale (PANSS). RESULTS: Approximately 60% (n = 83) of patients demonstrated a decrement trajectory, 16% (n = 22) demonstrated an increment trajectory, and 24% (n = 34) demonstrated a stable trajectory. Patients with decrement profiles were significantly more symptomatic (negative) and functionally impaired (MSIF) than those with increment profiles. Patients with increment and normal-range performance profiles remained functionally deficient relative to controls. CONCLUSIONS: Schizophrenia and schizoaffective patients meeting psychometric criteria for cognitive decline relative to estimated premorbid levels are common in the outpatient population but may occur less frequently than earlier estimates suggest. Minorities with stable and improved performance profiles also exist, show clinical and functional advantage relative to more typical patients, but underperform healthy controls.

"You can't touch this": Delivery of inpatient neuropsychological assessment in the era of COVID-19 and beyond.

Objective: The COVID-19 pandemic is a global health crisis that has created sudden and unique challenges within the field of clinical neuropsychology. Adapting neuropsychology services using teleneuropsychology models (e.g. video or telephone assessments) may not always be a viable option for all providers and settings. Based on the existing teleneuropsychology literature, we propose a "contactless" evidence-based inpatient test battery to be used for in-person assessments amenable to physical distancing. Method: In addition to the proposed test battery, we suggest a decision-making workflow process to help readers determine the appropriateness of the proposed methods given their patients' needs. Considerations for special populations (i.e. seniors, patients with brain injury, psychiatric patients), feedback, limitations of the proposed physical distancing approach, and future directions are also discussed. Conclusions: Our aim is that the suggested teleneuropsychology-informed battery and model may inform safe and practical neuropsychological inpatient assessments during the COVID-19 pandemic and other situations requiring contact precautions for infection prevention and control.