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Impact of the COVID-19 pandemic on referrals and clinical activity in a child and adolescent mental health service in Qatar: a 3-year retrospective comparative analysis

Published online by Cambridge University Press:  15 August 2025

Yasser Saeed Khan*
Affiliation:
Child and Adolescent Mental Health Service, Hamad Medical Corporation, Doha, Qatar College of Medicine, Qatar University, Doha, Qatar
Lolwa Kamal
Affiliation:
Child and Adolescent Mental Health Service, Hamad Medical Corporation, Doha, Qatar
Mohamed Adil Shah Khoodoruth
Affiliation:
Child and Adolescent Mental Health Service, Hamad Medical Corporation, Doha, Qatar
Sheena Shaheer
Affiliation:
Child and Adolescent Mental Health Service, Hamad Medical Corporation, Doha, Qatar
Prem Chandra
Affiliation:
Medical Research Centre, Hamad Medical Corporation, Doha, Qatar
Mona Mohammad Saleem
Affiliation:
Child and Adolescent Mental Health Service, Hamad Medical Corporation, Doha, Qatar
Asieh Dehwari
Affiliation:
Child and Adolescent Mental Health Service, Hamad Medical Corporation, Doha, Qatar
May Jasem Almeraisi
Affiliation:
Child and Adolescent Mental Health Service, Hamad Medical Corporation, Doha, Qatar
Majid Alabdulla
Affiliation:
Mental Health Service, Hamad Medical Corporation, Doha, Qatar College of Medicine, Qatar University, Doha, Qatar
*
Corresponding author: Yasser Saeed Khan. Email: ykhan5@hamad.qa
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Abstract

Background

The formative years of childhood and adolescence shape the course of future mental health. The COVID-19 pandemic has been associated with increased mental health problems in young people. This study aimed to examine changes in referrals and clinical activity in a child and adolescent mental health service (CAMHS) in Qatar following the pandemic.

Aims

To explore changes in referral trends and clinical activity in CAMHS, including referral numbers, reasons, sources, demographics, urgency and multidisciplinary team (MDT) allocation, comparing pre-pandemic (2019) with post-pandemic periods (2021, 2022).

Method

A retrospective analysis of referral data from CAMHS was conducted. Data were collected from the administrative paper data archived in the relevant department for the years 2019, 2021 and 2022. Referral data included: source, reason, urgency, patient demographics and outcome. Chi-square analysis was employed to compare referral trends and patient characteristics across the 3 years. Binary logistic regression was used to identify factors associated with urgent referrals.

Results

A significant increase in referrals was observed post-pandemic, with notable changes in referral reasons (increased mood and anxiety disorders), sources (increased referrals from public and private hospitals) and urgency (higher proportion of urgent referrals). MDT allocation shifted towards psychiatrists, with a decrease in joint assessments.

Conclusions

The COVID-19 pandemic had a substantial impact on CAMHS referrals and clinical activity in Qatar. The observed changes highlight the urgent need for additional resources and services. Adapting service delivery models and strengthening collaboration between healthcare sectors are crucial to addressing the evolving mental health needs of children and adolescents effectively.

Information

Type
Original Article
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 (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Fig. 1 Comparison of total referral numbers before and after the COVID-19 pandemic.

Figure 1

Table 1. Annual referral trends

Figure 2

Fig. 2 Reasons for referral. NDD-B, neurodevelopmental and behavioural disorders.

Figure 3

Fig. 3 Sources of referral. Peds-CDC, paediatrics, including the child development centre; PHCC, primary health care corporation.

Figure 4

Table 2. Demographic details across 2019, 2021 and 2022

Figure 5

Fig. 4 Urgency of referrals.

Figure 6

Table 3 Variables associated with the urgency of referrals – logistic binary regression with ‘urgency of referrals’ as the dependent variable

Figure 7

Fig. 5 Multidisciplinary team (MDT) allocation.

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