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Record W2905025536 · doi:10.1093/pch/pxy146

How to screen for ACEs in an efficient, sensitive, and effective manner

2018· article· en· W2905025536 on OpenAlexaff
Priya Watson

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsMedicine

Abstract

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The adverse childhood experiences (ACEs) screening instrument is a validated, accessible screening tool that can be used for early detection of common childhood traumas. Modifications to the original adult questionnaire have been made in paediatric practices so that the questions are appropriately phrased for asking children and youth directly about their experiences (1,2) (Figure 1), but the 10 specific ACE exposures remain the same in the adult and child questionnaires. As Jacob et al. note, ACEs are common and toxic to children, with lifelong impacts on their neuroendocrine, inflammatory, immune, metabolic, and other physiologic systems (3). ACEs meet evidence-based criteria for screening: they are prevalent, detectible, and their associated conditions have evidence-based early interventions. However, most paediatricians and family doctors do not routinely screen for ACEs. This is termed a ‘knowledge-to-action gap’, where the research evidence has not yet changed standard clinical practice. This is due in part to perceived barriers that doctors may have regarding ACEs. For example, paediatricians and family physicians may view ACEs as psycho-social, or strictly in the domain of mental health, and thus outside of their expertise. They may also feel under-prepared to address possible traumas, or concerned that there is no effective response to the clinical ‘can of worms’ they’ve opened by screening for ACEs (4). ACE Questionnaire, adapted for use in paediatric practice (1,2). Sources: Center for Youth Wellness, ACEs Too High (https://acestoohigh.com/got-your-ace-score/). Reassuringly, the emerging literature on ACEs screening tells us that it is not a time-consuming process and does not require extensive mental health training. Sensitive and effective screening can be integrated into a routine clinical appointment in approximately 10 minutes. Parents report that ACEs screening is acceptable and helpful to their children’s care (5), and addressing ACEs in standard paediatric care affords an opportunity to improve health outcomes for children (6). Therefore, despite perceived barriers, paediatricians and family doctors are well-positioned to screen for ACEs, just as they screen for other childhood health concerns (7). Screening for ACEs involves asking children and their caregivers about exposures to the emotional stresses known to impact their health. Screening with these 10 yes/no questions generates the child’s ‘ACE Score’, by giving one point for each ‘yes’ answer. This ACE score then informs treatment planning for child and family, as follows: Parent and child answer the ACE questions. Explain the rationale for the questionnaire and limits of confidentiality: Physicians can explain that certain stresses are known to increase children’s risk for illness across their lives. Note that these questions are now being asked of all patients to identify these stresses early and help reduce them. Explain that their answers are confidential, except in those cases where the child is at risk of serious harm from abuse or neglect. Complete the questionnaire: This can be done by the parent and child/youth each filling out the ACE 10-item questionnaire with their physician, or answering verbally in the clinical meeting. Both children and their parents should be asked about the child’s ACEs separately. For clarity and accuracy, children under the age of 12 can answer the questions verbally, asked by their doctor. Differences in how parents and children answer the questions can be addressed in the meeting, as parents may not be aware of their child’s perceptions, or one or the other may under-report the stresses present in the family. For instructional videos on quick ACEs screening with parent and child, see: www.porticonetwork.ca/web/childhood-trauma-toolkit/developmental-trauma/how-does-it-present Discuss the results. Reviewing and explaining the significance of the ACE score is an essential part of the process. Engaging nonjudgmentally with parent and child is important to maintaining your treatment alliance, and taking a stance that emphasizes collaboration and support is central to trauma-informed care. Physicians should explain to parents that early intervention can reduce these ACE stresses. Describing the intervention as an investment in the child’s lifelong physical and mental health may help reduce perceived stigma around the results of the screen, and increase engagement (5). Link the ACE score to any health concerns the child may currently have, emphasizing that addressing ACEs will help regulate the child’s health by lowering stress hormones, and could therefore improve health and learning (2). If Child Protective Services must be notified, discuss this with the parent as an effort to assist the family and ensure the long-term health of the child. Sample scripts for how to discuss the ACE score can be found at: centerforyouthwellness.org/advancing-clinical-practice/ www.aap.org/en-us/Documents/ttb_addressing_aces.pdf. Collaborate on treatment planning. As part of the discussion with parent and child, physicians can tailor their recommendations to the child’s specific ACE score, for example recommending that a parent obtain treatment for their own mental health or substance use, or referring for family therapy. Paediatricians and family physicians might not conduct the treatment interventions themselves, but in their roles as service gate-keepers and treatment-planners, they can use the ACEs data to make appropriate referrals. Evidence-based interventions to address ACEs include parenting therapy, individual psychotherapies, and treatment of parental mental health and substance use concerns, among others. Revisit the ACE score. Periodically redoing the ACE questionnaire with parents and children will assist in monitoring the effectiveness of treatment interventions and ensuring that risk factors are being addressed. Financial disclosure: There are no financial relationships relevant to this paper. All authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.029
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.001
Science and technology studies0.0020.001
Scholarly communication0.0060.007
Open science0.0020.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0110.011

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.321
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations32
Published2018
Admission routes1
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