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Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Nursing

Ann Marie McCarthy

Selected Works

2013

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Using Picture Schedules In Medical Settings For Patients With An Autism Spectrum Disorder, A. Chebuhar, Ann Mccarthy, J. Bosch, S. Baker Apr 2013

Using Picture Schedules In Medical Settings For Patients With An Autism Spectrum Disorder, A. Chebuhar, Ann Mccarthy, J. Bosch, S. Baker

Ann Marie McCarthy

Autism is a neurobiological disorder that compromises ability to communicate and can be accompanied by anxiety, particularly for those in unfamiliar settings with unknown people. To improve communication, children with autism often relate well to pictures; however the literature describes no studies of picture schedules for patients with autism in medical settings. Our pilot project demonstrates how picture schedules for medical settings can relieve anxiety in children with autism and suggests that this approach should be employed as an innovative way to interact with patients with autism.


Building A Computer Program To Support Children, Parents, And Distraction During Healthcare Procedures, Kirsten Hanrahan, Ann Mccarthy, C. Kleiber, K. Ataman, W. Street, M. Zimmerman, Anne Ersig Apr 2013

Building A Computer Program To Support Children, Parents, And Distraction During Healthcare Procedures, Kirsten Hanrahan, Ann Mccarthy, C. Kleiber, K. Ataman, W. Street, M. Zimmerman, Anne Ersig

Ann Marie McCarthy

This secondary data analysis used data mining methods to develop predictive models of child risk for distress during a healthcare procedure. Data used came from a study that predicted factors associated with children's responses to an intravenous catheter insertion while parents provided distraction coaching. From the 255 items used in the primary study, 44 predictive items were identified through automatic feature selection and used to build support vector machine regression models. Models were validated using multiple cross-validation tests and by comparing variables identified as explanatory in the traditional versus support vector machine regression. Rule-based approaches were applied to the model …