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Record W347856524

A qualitative study of young people's perspectives on receiving psychiatric services via televideo.

2010· article· en· W347856524 on OpenAlexaff
Katherine Boydell, Tiziana Volpe, Antonio Pignatiello

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsHelpfulnessSession (web analytics)PsychologyPerspective (graphical)InteractionismNarrativeMedicineSocial psychologySociologyAdvertisingSocial science
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: It is critical to consult young people about their experiences. This study addresses the paucity of research on the perspective of young people in general, and in paediatric telepsychiatry specifically. The goal is to understand the experience of young people receiving telepsychiatry. METHOD: Interpretive interactionism (Denzin, 1989) was used to interview 30 young people; immediately following the consultation and four to six weeks later. Analysis occurred via a series of steps in keeping with the interpretive interactionist framework. RESULTS: Four themes arose repeatedly: the encounter with the psychiatrist and experience of having others in the room; the helpfulness of the session; a sense of personal choice during the consultation; and, the technology. Participants highlighted the importance of their relationship with the psychiatrist. Participant's narratives were replete with examples of ways that they actively took responsibility and exerted control within the session itself. CONCLUSION: Young people have a significant role to play in their own care. It is critical that telepsychiatry recommendations be explained and opportunities for young people to express their concerns and discuss alternatives are provided. Further efforts to include young people may include ensuring offering alternate treatments and/or negotiated when recommended treatments are unacceptable and/or resisted.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.029
GPT teacher head0.367
Teacher spread0.337 · 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 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

Citations63
Published2010
Admission routes1
Has abstractyes

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