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A Systematic Review of Guided, Parent-Led Digital Interventions for Preadolescent Children with Emotional and Behavioural Problems.

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Title: A Systematic Review of Guided, Parent-Led Digital Interventions for Preadolescent Children with Emotional and Behavioural Problems.
Authors: Whitaker, Emily (AUTHOR), Chessell, Chloe (AUTHOR), Klapow, Maxwell (AUTHOR), Creswell, Cathy (AUTHOR)
Source: Clinical Child & Family Psychology Review. Jun2025, Vol. 28 Issue 2, p414-438. 25p.
Subjects: Attention-deficit hyperactivity disorder, Emotional problems of children, Child development, Statistical significance, Cognitive psychology
Abstract: Emotional and behavioural problems (EBP) are prevalent amongst children, and guided, parent-led digital interventions offer one method of improving access to effective treatments. This systematic review (PROSPERO: CRD42023484098) aimed to examine the evidence base for, and characteristics of, these types of interventions through a narrative synthesis. Systematic searches were conducted using Medline, EMBASE, PsycINFO, Scopus and Web of Science in January 2024 and February 2025, supplemented with hand searching in March/April 2024 and February 2025. Studies were eligible if they reported outcomes related to preadolescent EBP from a guided, fully parent-led, fully digital intervention. Thirteen studies were eligible, including 2643 children and covering eight interventions (addressing anxiety problems, comorbid anxiety and depression, attention deficit hyperactivity disorder, conduct disorder and disruptive behaviour). Studies included randomised controlled trials and pre-post studies. The QualSyst checklist was used to assess study quality; all studies were rated as good quality. All studies showed statistically significant improvements in the child's symptoms or interference levels, with small to very large effect sizes immediately post-treatment, and at least medium effect sizes by follow-up, suggesting a promising evidence base. A wide range of intervention characteristics were identified, forming a basis for future intervention development for childhood EBP. However, there was a lack of consistency in how information was reported across studies (such as completion rates) and studies lacked information on parent demographics and key intervention details. Further high quality randomised controlled trials for a wider range of EBP are needed to continue building the evidence base. [ABSTRACT FROM AUTHOR]
Copyright of Clinical Child & Family Psychology Review is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: A Systematic Review of Guided, Parent-Led Digital Interventions for Preadolescent Children with Emotional and Behavioural Problems.
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  Data: <searchLink fieldCode="JN" term="%22Clinical+Child+%26+Family+Psychology+Review%22">Clinical Child & Family Psychology Review</searchLink>. Jun2025, Vol. 28 Issue 2, p414-438. 25p.
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  Data: <searchLink fieldCode="DE" term="%22Attention-deficit+hyperactivity+disorder%22">Attention-deficit hyperactivity disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Emotional+problems+of+children%22">Emotional problems of children</searchLink><br /><searchLink fieldCode="DE" term="%22Child+development%22">Child development</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+significance%22">Statistical significance</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+psychology%22">Cognitive psychology</searchLink>
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  Data: Emotional and behavioural problems (EBP) are prevalent amongst children, and guided, parent-led digital interventions offer one method of improving access to effective treatments. This systematic review (PROSPERO: CRD42023484098) aimed to examine the evidence base for, and characteristics of, these types of interventions through a narrative synthesis. Systematic searches were conducted using Medline, EMBASE, PsycINFO, Scopus and Web of Science in January 2024 and February 2025, supplemented with hand searching in March/April 2024 and February 2025. Studies were eligible if they reported outcomes related to preadolescent EBP from a guided, fully parent-led, fully digital intervention. Thirteen studies were eligible, including 2643 children and covering eight interventions (addressing anxiety problems, comorbid anxiety and depression, attention deficit hyperactivity disorder, conduct disorder and disruptive behaviour). Studies included randomised controlled trials and pre-post studies. The QualSyst checklist was used to assess study quality; all studies were rated as good quality. All studies showed statistically significant improvements in the child's symptoms or interference levels, with small to very large effect sizes immediately post-treatment, and at least medium effect sizes by follow-up, suggesting a promising evidence base. A wide range of intervention characteristics were identified, forming a basis for future intervention development for childhood EBP. However, there was a lack of consistency in how information was reported across studies (such as completion rates) and studies lacked information on parent demographics and key intervention details. Further high quality randomised controlled trials for a wider range of EBP are needed to continue building the evidence base. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Clinical Child & Family Psychology Review is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jun2025
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