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Record W4402202826 · doi:10.1111/eip.13605

From Adolescence to Adulthood: Understanding Care Trajectories in an Early Detection and Intervention Centre in France

2024· article· en· W4402202826 on OpenAlexaff
Simone Marchini, Marie‐Alix Laroche, Harmony Némorin, Valentine Morin, Guillaume Tanguy, Valeria Lucarini, Anton Iftimovici, Boris Chaumette, Marie‐Odile Krebs, Mylène Charre

Bibliographic record

VenueEarly Intervention in Psychiatry · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsMcGill University
FundersH. Lundbeck A/SCilagKoning BoudewijnstichtingEisaiAgence Nationale de la RechercheFondation FondaMental
KeywordsReferralMental healthMedicineYoung adultIntervention (counseling)PsychopathologyPsychiatryHealth careFamily medicinePediatricsGerontology

Abstract

fetched live from OpenAlex

BACKGROUND: Psychiatric disorders often emerge during adolescence or young adulthood, leading to significant disability among youth. The transition from Child and Adolescent Mental Health Services (CAMHS) to Adult Mental Health Services (AMHS) is critical for individuals experiencing emerging psychopathology, with delayed access to care negatively impacting long-term outcomes. Accessing mental health services for adolescents and young adults is often complex and delayed due to challenges in service visibility, accessibility and appropriateness. METHODS: This study examines the care trajectories of individuals consecutively accessing the early detection and intervention (EDI) centre C'JAAD (Evaluation Centre for Young Adults and Adolescents) in Paris (France) over the year 2021. The main goal was to clarify the role of this EDI centre in the continuity of care and transition to AMHS. Data about their history of care, hospitalisations and referral sources were collected retrospectively. RESULTS: The sample comprised 194 individuals, with 57.2% males and a median age of 20 years. Most patients (67.5%) were ≥18 years old upon arrival, with 31% in a situation of not being in education, employment, or training (NEET). Over one-third (35.2%) had prior psychiatric hospitalisations. Patients were mainly referred to our EDI centre from other hospital departments (42.3%). Regarding care in CAMHS, 50.3% of the total sample had medical follow-up during childhood, of whom 41.9% had discontinued care upon arrival at the EDI centre. The median onset age of care in CAMHS was 14, with a median duration of 12 months. Adult patients experienced an approximately 3-year gap between the end of CAMHS care and assessment at the EDI centre. DISCUSSION: The sample's characteristics resemble those of other EDI centres, but concerns persist regarding referral timing and the NEET status of many youths. Lack of prior medical follow-up and challenges in transitioning to AMHS underscore the need to enhance care continuity and address difficulties in accessing care during the transition to adulthood.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.595

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.390
Teacher spread0.354 · 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 designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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