NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Age-Related Decline and Diagnostic Performance of More and Less Prevalent Clinical Cases
Peer reviewed Peer reviewed
Direct linkDirect link
St-Onge, Christina; Landry, Marjolaine; Xhignesse, Marianne; Voyer, Gilles; Tremblay-Lavoie, Stéphanie; Mamede, Sílvia; Schmidt, Henk; Rikers, Remy – Advances in Health Sciences Education, 2016
Since cognitive abilities have been shown to decrease with age, it is expected that older physicians would not perform as well as their younger counterparts on clinical cases unless their expertise can counteract the cognitive effects of aging. However, studies on the topic have shown contradictory results. This study aimed to further investigate…
Descriptors: Cognitive Ability, Age, Physicians, Expertise
Further Evidence on the Factorial Structure of the Autism Spectrum Quotient (AQ) for Adults with and without a Clinical Diagnosis of Autism
Peer reviewed Peer reviewed
Direct linkDirect link
Lau, Winnie Yu Pow; Kelly, Adrian B.; Peterson, Candida Clifford – Journal of Autism and Developmental Disorders, 2013
The Autism Spectrum Quotient (AQ) has been widely used for measuring autistic traits however its factor structure has been primarily determined from nonclinic populations. This study aimed to establish an internally coherent and reliable factor structure for the AQ using a sample of 455 Australian adults of whom 141 had autism spectrum disorder…
Descriptors: Autism, Measures (Individuals), Factor Structure, Foreign Countries
Feasibility of Self-Reflection as a Tool to Balance Clinical Reasoning Strategies
Peer reviewed Peer reviewed
Direct linkDirect link
Sibbald, Matthew; de Bruin, Anique B. H. – Advances in Health Sciences Education, 2012
Clinicians are believed to use two predominant reasoning strategies: system 1 based pattern recognition, and system 2 based analytical reasoning. Balancing these cognitive reasoning strategies is widely believed to reduce diagnostic error. However, clinicians approach different problems with different reasoning strategies. This study explores…
Descriptors: Expertise, Pattern Recognition, Thinking Skills, Cooperative Learning
Patterns of Cognitive Functioning in a Clinic-Referred Sample of Preschool Children
Peer reviewed Peer reviewed
Direct linkDirect link
Koushik, Nikhil S.; Saunders, Cory D.; Rourke, Byron P. – Canadian Journal of School Psychology, 2007
This study examined patterns of performance on the Wechsler Preschool and Primary Scale of Intelligence-Revised (WPPSI-R) and the relationship of these patterns to diagnoses of behavioural problems. The sample consisted of 108 children between age 3 and 7 years inclusive who had been referred to a day-treatment program for a wide variety of…
Descriptors: Preschool Children, Measures (Individuals), Pattern Recognition, Relationship
The Cognitive Ability of an Incident Cohort of Parkinson's Patients in the UK: The CamPaIGN Study
Peer reviewed Peer reviewed
Direct linkDirect link
Foltynie, Thomas; Brayne, Carol E. G.; Robbins, Trevor W.; Barker, Roger A. – Brain, 2004
We have used multiple sources to identify a population-representative cohort of newly diagnosed patients with parkinsonism and Parkinson's disease in the UK over a 2-year period. All patients have been invited to participate in a detailed clinical assessment either at home or in an outpatient clinic. These assessments have been used to refine…
Descriptors: Foreign Countries, Neurological Impairments, Patients, Cognitive Ability
Effects of Pattern Matching, Pattern Discrimination, and Experience in the Development of Diagnostic Expertise.
Peer reviewed Peer reviewed
Papa, Frank; And Others – Academic Medicine, 1990
In this study an artificial intelligence assessment tool used disease-by-feature frequency estimates to create disease prototypes for nine common causes of acute chest pain. The tool then used each subject's prototypes and a pattern-recognition-based decision-making mechanism to diagnose 18 myocardial infarction cases. (MLW)
Descriptors: Artificial Intelligence, Clinical Diagnosis, Construct Validity, Decision Making