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Record W2747248868

The voice of the adolescent: Perceptions of general practice and accessing other health care services

2014· article· en· W2747248868 on OpenAlexaboutno aff
Alison Hutton, Nicola Jackson

Bibliographic record

VenueNeonatal, paediatric, and child health nursing · 2014
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsConfidentialityThematic analysisPerceptionGeneral practicePsychologyHealth careGood practiceFace (sociological concept)Medical educationPublic relationsMedicineQualitative researchFamily medicineSociologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Objective: To review literature from Australia, New Zealand, Canada and the United Kingdom to: gain insight into the adolescent perception of the general practice environment; identify areas of concern that prevent adolescents accessing health care services; and to establish which factors have a negative effect on their general practice experience. Method: A thematic analysis was the method selected for this literature review. The articles were read and similar concepts combined to form 18 common themes. These 18 themes were then condensed down to three focal themes: personal, organisational, and external factors. Results: Principal areas of concern for adolescents accessing health services and the general practice were confidentiality, privacy and trust. These concerning factors were voiced by adolescents of all ages, both genders and across studies from all four countries. Conclusion: A review of the literature has revealed that not all adolescents face problems when using general practice facilities, or have concerns regarding accessing services, but for those that do confidentiality, privacy and trust are the main areas of concern.

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)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.379
Teacher spread0.362 · 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 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

Citations2
Published2014
Admission routes1
Has abstractyes

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