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Record W4414218748 · doi:10.1136/ebm-2025-pod.32

032 Reducing high-risk psychiatric medication in youth: a solution-focused discussion

2025· article· en· W4414218748 on OpenAlexaboutno aff
Erin R. Barnett

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicPsychiatric care and mental health services
Canadian institutionsnot available
Fundersnot available
KeywordsPsychiatric medicationPerspective (graphical)Government (linguistics)Action (physics)Quarter (Canadian coin)Mental health

Abstract

fetched live from OpenAlex

In this seminar, we aim to engage the audience in a solution-focused discussion centered on the over-prescribing of psychiatric medications to youth through information sharing and focused discussion questions. Objectives Critically examine the causes of over-diagnosing behavioral health problems and over-prescribing psychiatric medications in youth from the perspective of at least three stakeholders Identify one action step for each of the following sectors to reduce over-diagnosing and over-prescribing in this population: payors, administrators, clinicians, and the general public Information sharing Part I (10 min): Diagnosing psychiatric disorders in youth is a complex phenomenon that has been influenced by numerous socio-cultural factors. Experts have written about the over-pathologizing of normal child development and the role of pharmaceutical companies in this phenomenon. Youth in the US receive psychiatric medications that extend far beyond the evidence base. The use of high-risk psychiatric medications (e.g., antipsychotics) and medication regimes (e.g., three or more psychiatric medications used concurrently) among youth have increased dramatically in the past quarter century. The majority of this use is ‘off-label’, that is, it is not approved by medication regulation bodies. Further, these high-risk medications and medication regimens are more common in our most vulnerable youth – those in foster care or ‘looked after’. Many known side effects exist; long-term side effects are unknown. Fortunately, government and advocacy orgs have called for reducing the use of these high-risk medications. Discussion Part I (20 min): 1) How do we promote system-level cultural change that resists the over-pathologizing of normal child development and promotes judicious use of psychiatric medicine in youth? Consider the perspectives of various sectors: payors, health care system administrators, clinicians, caregivers, other stakeholders. 2) How do we change the experiences and requirements of medical education to promote parsimony in diagnosis and treatment of youth with behavioral health challenges? 3) How do we better inform parents, teachers, and other stakeholders about over-diagnosing and over-prescribing psychiatric medications to youth? Information sharing Part II (10 min): Our research has shown that many clinical prescribers are worried about over-diagnosing and over-prescribing and have important perspectives on why it occurs. We have also found that caregivers want to be involved in decisions about their youth’s psychiatric medications and are highly motivated to reduce high-risk medications for their youth. Once youth are on high-risk medications, one solution is to provide guidance to clinicians, youth, and families about deprescribing. Our team developed and tested a shared decision-making and deprescribing intervention in two U.S. outpatient community mental health centers serving youth with mental health needs (n=39). Nearly half (45%) of the youth who completed the treatment review phase chose to taper/deprescribe at least one medication. We observed no study-related serious adverse events or behavioral escalations. Discussion Part II (20 min): How do we make deprescribing a regular part of medicine? How do we help clinicians be more comfortable deprescribing? How do we get our intervention into the hands of clinical prescribers, clinics, and psychiatry leaders? Method We aim to engage the audience in a solution-focused discussion centered on the over-prescribing of psychiatric medications to youth through information sharing and focused discussion questions. Results The presenter will describe the background research and clinical experience related to the over-diagnosing and over-prescribing of psychiatric care to youth. The presenter will also present a novel deprescribing intervention developed and tested by her team. As a result of this seminar, the audience will engage in a critical solution-focused discussion towards reducing the harms of these phenomena. Conclusions The field of child psychiatry is finally beginning to pay attention to over-prescribing and deprescribing. This rapidly emerging topic is ripe for clinical attention and research.

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)0.026
metaresearch head score (Gemma)0.025
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.026
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0160.008
Scholarly communication0.0100.012
Open science0.0040.016
Research integrity0.0230.025
Insufficient payload (model declined to judge)0.0240.005

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 head0.016
GPT teacher head0.327
Teacher spread0.311 · 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
GenreCommentary

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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Citations0
Published2025
Admission routes1
Has abstractyes

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