Evidence map›Paper›PMID 39412745›Full record

ReviewJMIR pediatrics and parenting2024

Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review.

Brianna M White, Rameshwari Prasad, Nariman Ammar, Jason A Yaun, Arash Shaban-Nejad

Abstract readReview
In one paragraph

Review in JMIR pediatrics and parenting, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Brianna M WhiteDepartment of Pediatrics, Center for Biomedical Informatics, The University of Tennessee Health Science Center-Oak Ridge National Laboratory, Memphis, TN, United States.ORCID http://orcid.org/0000-0001-7576-5874
Rameshwari PrasadDepartment of Pediatrics, Center for Biomedical Informatics, The University of Tennessee Health Science Center-Oak Ridge National Laboratory, Memphis, TN, United States.ORCID http://orcid.org/0000-0002-5932-2405
Nariman AmmarSchool of Information Technology, Illinois State University, Normal, IL, United States.ORCID http://orcid.org/0000-0002-5363-2541
Jason A YaunMethodist Le Bonheur Healthcare, Memphis, TN, United States.ORCID http://orcid.org/0000-0001-9754-196X
Arash Shaban-NejadDepartment of Pediatrics, Center for Biomedical Informatics, The University of Tennessee Health Science Center-Oak Ridge National Laboratory, Memphis, TN, United States.ORCID http://orcid.org/0000-0003-2047-4759

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Exposures to both negative and positive experiences in childhood have proven to influence cardiovascular, immune, metabolic, and neurologic function throughout an individual's life. As such, adverse childhood experiences (ACEs) could have severe consequences on health and well-being into adulthood. Objective: This study presents a narrative review of the use of digital health technologies (DHTs) and artificial intelligence to screen and mitigate risks and mental health consequences associated with ACEs among children and youth. Methods: Several databases were searched for studies published from August 2017 to August 2022. Selected studies (1) explored the relationship between digital health interventions and mitigation of negative health outcomes associated with mental health in childhood and adolescence and (2) examined prevention of ACE occurrence associated with mental illness in childhood and adolescence. A total of 18 search papers were selected, according to our inclusion and exclusion criteria, to evaluate and identify means by which existing digital solutions may be useful in mitigating the mental health consequences associated with the occurrence of ACEs in childhood and adolescence and preventing ACE occurrence due to mental health consequences. We also highlighted a few knowledge gaps or barriers to DHT implementation and usability. Results: Findings from the search suggest that the incorporation of DHTs, if implemented successfully, has the potential to improve the quality of related care provisions for the management of mental health consequences of adverse or traumatic events in childhood, including posttraumatic stress disorder, suicidal behavior or ideation, anxiety or depression, and attention-deficit/hyperactivity disorder. Conclusions: The use of DHTs, machine learning tools, natural learning processing, and artificial intelligence can positively help in mitigating ACEs and associated risk factors. Under proper legal regulations, security, privacy, and confidentiality assurances, digital technologies could also assist in promoting positive childhood experiences in children and young adults, bolstering resilience, and providing reliable public health resources to serve populations in need.

Indexed as

ACEadverse childhood experienceartificial intelligencechildren’s mental healthdigital healthdigital health technologydigital interventiondigital technologydisease surveillancemachine learningmental disordermental healthmental illnesspediatric mental healthpositive childhood experiences

Identifiers

PMID39412745
PMCPMC11498064

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.