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Healthcare utilisation in the United Arab Emirates for children with attention-deficit hyperactivity disorder and comorbidities

Published online by Cambridge University Press:  26 June 2023

Ahmad M. Almai
Affiliation:
Consultant child and adolescent psychiatrist; Director of Residency Training, Department of Psychiatry, Johns Hopkins Aramco Health Center, Dhahran, Kingdom of Saudi Arabia. Email ahmed.almai@jhah.com
Jay A. Salpekar
Affiliation:
Director of the Neuropsychiatry Center, Kennedy Krieger Institute, Baltimore, Maryland, USA; Associate Professor of Psychiatry and Neurology, Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Abstract

The prevalence of attention-deficit hyperactivity disorder is consistent worldwide. Psychiatric comorbidities are common, although less is known about how those comorbidities affect utilisation of healthcare services. Access to paediatric mental healthcare is a challenge in many regions. However, access to care in the United Arab Emirates (UAE) is supported by a well-established healthcare infrastructure with widely available primary care physicians. A review of diagnosis codes suggests that a clear correlation exists between the number of comorbidities and increased utilisation of available mental health services. Infrastructure in the UAE may represent a successful model for paediatric mental healthcare.

Information

Type
Special Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists
Figure 0

Fig. 1 Patients with attention-deficit hyperactivity disorder and comorbidities.

Figure 1

Fig. 2 Impact of comorbidities on number of healthcare visits over a 2-year period. The error bars show 95% confidence intervals.

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