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DIGIPARENT - Implementation, personalization and genetics of digitally assisted parent training intervention to improve child mental health services.

Project description

Digitally assisted parent training for childhood behavioural problems

Disruptive behaviour disorders are a serious mental health concern because they are associated with a host of other social, emotional and academic problems, with high costs for communities. While parent training is crucial for treatment, many parents do not receive it. In this context, the ERC funded DIGIPARENT project will explore the option of digitally assisted parent training interventions (instead of face-to-face parent training). This will be the first population-based study about the long-term outcomes and modifiers of digitally assisted parent training. The project will also shed light on the use of artificial technology to produce digital content tailored to the unique needs of each family.

Objective

Childhood disruptive behavior problems pose huge challenge to societies given the high lifetime burden and costs associated. Mounting evidence shows that parent training is the most effective psychosocial treatment for these problems. However, most parents in need of such training do not receive it. DIGIPARENT shift the research focus from specialized care face-to-face parent training to study digitally assisted parent training interventions when implemented in primary health. The proposal is divided into four Work Packages (WP):
WP1 is the first population based study about the long-term outcomes and modifiers of digitally assisted parent training. It addresses what works and how it works in real-world practice. WP2 will yield novel knowledge on the genetic and epigenetic variants associated with childhood disruptive behavior and the epigenetic response to childhood psychosocial interventions. WP 3 shifts the research focus from a manualized one-size-fits-all parent training intervention approaches to one that is personalized for families by artificial intelligence and machine learning algorithms. WP 4 adopts a novel approach by comparing community level, well-being indicators when different combinations of digital and face-to-face parent training strategies are implemented in real world.
DIGIPARENT combines an evidence-based approach to child mental health with the latest technology and offers the potential for scientific breakthroughs, including the use of artificial technology to produce digital content tailored to the needs of individual families. Detection of genetic factors related to treatment response and possible epigenetic outcomes of treatments opens avenues for new scientific questions on how treatments can affect human biology. DIGIPARENT responds to the urgent need to study digital and remote interventions as child mental health services struggle with the considerable increase in demand for services due to the COVID-19 pandemic

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-ADG - Advanced Grant

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2020-ADG

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Host institution

TURUN YLIOPISTO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 499 198,00
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 499 198,00

Beneficiaries (1)

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