MétaCan
Menu
Back to cohort
Record W7073853265

Perspectives of young people who access support for mental health in primary care: a systematic review of their experiences and needs

2021· article· en· W7073853265 on OpenAlexaboutno aff

Bibliographic record

VenueKeele Research Repository (Keele University) · 2021
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthNarrativeInclusion (mineral)EmpathyPrimary careThe InternetYoung personMEDLINECentrality
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: There is an increasing demand for mental health support in primary care, especially for young people. To improve mental health support for young people in general practice, the needs of young people must be considered. AIM: To explore the experiences of young people (aged 12-25 years) on receiving mental health care in primary care and identify the needs of young people who present with mental health concerns. DESIGN AND SETTING: A systematic review and narrative synthesis. METHOD: This was a systematic review and narrative synthesis. Six databases were searched for literature relating to young people's experiences of receiving mental health care in primary care. Additional handsearching and manual internet searching were conducted. Narrative synthesis was employed. RESULTS: Five papers and a further two reports from manual internet searching were found, resulting in the inclusion of 1823 young people from four different countries (UK, US, Ireland, and Canada) for synthesis. The synthesis generated four themes: the centrality of a trusting relationship; showing empathy and taking concerns seriously; being given time to talk; and barriers to accessing mental health support in primary care. CONCLUSION: Young people need a trusting relationship to discuss sensitive issues. To enable high-quality and effective mental health consultations with young people and the development of trust, GPs require unhurried consultations and the ability to maintain continuity of care.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.067
GPT teacher head0.417
Teacher spread0.350 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueKeele Research Repository (Keele University)Same topicAdolescent and Pediatric HealthcareFrench-language works237,207