RESUMEN
Employing a mixed methods approach, this study examined the knowledge and information Ontario physicians have concerning Autism Spectrum Disorder (ASD). Physicians are at the front line when it comes to identifying ASD. The Healthcare Professional Questionnaire was filled out by 46 physicians and 16 filled out the Knowledge about Childhood Autism among Health Workers Questionnaire (KCAHW) before being asked to participate in a semi-structured interview in which 7 participated. Paediatricians and psychiatrist reported having the highest levels of knowledge. Findings revealed that physicians are lacking in information regarding some early signs (i.e. social smiling = 50%), added diagnostic criteria (i.e. hypo-reactivity to sensory information = 56%), and the prevalence rate of ASD (average estimate of 1 in 1109). Additionally, exposure to individuals with ASD was found to be a facilitator to knowledge acquisition regarding ASD. The physicians recommended a road map method to disseminate information and increase knowledge and awareness. Implications of the findings include what areas of knowledge and information need to be increased, and how knowledge and competency can be increased, to better care for this population.
RESUMEN
In recent years, the prevalence of Attention Deficit/Hyperactivity Disorder (ADHD) and the number of individuals seeking ADHD assessments has risen significantly, leading to an increased demand for accurate diagnostic tools. This study aimed to identify cutoff scores on the Conners' Adult ADHD Rating Scales (CAARS-S:L) that can definitively rule out the presence of ADHD. Among 102 clinically diagnosed adult ADHD participants and 448 non-ADHD participants who completed the CAARS-S:L, a receiver operating characteristic curve analysis established a perfectly discriminant cutoff T-score of <44 on the ADHD Symptoms Total subscale when looking at any ADHD diagnosis and <54 on the Inattentive Symptoms subscale when looking at individuals diagnosed with the inattentive subtype of ADHD. Alternative cutoffs of <54 (ADHD Symptoms Total subscale) and <63 (Inattentive Symptoms subscale) were also identified, both with a sensitivity of 0.95 or higher. Furthermore, the analysis found the ADHD Index to be a poor predictor of a negative ADHD diagnosis, suggesting against the use of this scale for cutoff determination. Despite this limitation, these findings indicate that with specific cutoffs, the CAARS-S:L may have the potential to conclusively rule out ADHD, effectively streamlining the diagnostic process and reducing unnecessary comprehensive assessments in clear negative cases.