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Using Mixed Methods to Identify the Primary Mental Health Problems and Needs of Children, Adolescents, and Their Caregivers during the Coronavirus (COVID-19) Pandemic.


ABSTRACT: Our understanding of child, adolescent, and caregiver mental health (MH) problems during the coronavirus pandemic, and which interventions are needed, may be advanced by consumer input. 133 general population caregivers reported top MH problems and needs for themselves and their children (Mage?=?8.21; SD?=?4.94), using standardized and idiographic measures. We applied linear regression models to quantitative data and thematic analysis to qualitative data. Caregivers' COVID-era depression and anxiety symptom means fell within the clinical range, as did their children's MH symptoms. Caregiver-reported child and adolescent symptoms were positively associated with number of children in the home. Caregiver and caregiver-reported child and adolescent symptoms were more pronounced in regions with more lenient COVID-19 restrictions. Among the kinds of help most urgently needed, MH services were ranked #1 for caregivers and adolescents, #2 for 6-12 year-olds, and #3 for 1-5 year-olds. Top problems identified for each age group highlight pressing pandemic-related intervention targets.

SUBMITTER: Fitzpatrick O 

PROVIDER: S-EPMC7590914 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Using Mixed Methods to Identify the Primary Mental Health Problems and Needs of Children, Adolescents, and Their Caregivers during the Coronavirus (COVID-19) Pandemic.

Fitzpatrick Olivia O   Carson Amani A   Weisz John R JR  

Child psychiatry and human development 20201027 6


Our understanding of child, adolescent, and caregiver mental health (MH) problems during the coronavirus pandemic, and which interventions are needed, may be advanced by consumer input. 133 general population caregivers reported top MH problems and needs for themselves and their children (M<sub>age</sub> = 8.21; SD = 4.94), using standardized and idiographic measures. We applied linear regression models to quantitative data and thematic analysis to qualitative data. Caregivers' COVID-era depress  ...[more]

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