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Record W2740075129 · doi:10.2196/resprot.7995

Randomized Trial Comparing the Electronic Composite Psychosocial Screener YouthCHAT With a Clinician-Interview Assessment for Young People: A Study Protocol

2017· article· en· W2740075129 on OpenAlexvenueno aff
Hiran Thabrew, Arden Corter, Felicity Goodyear‐Smith, Mary Goldfinch

Bibliographic record

VenueJMIR Research Protocols · 2017
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialPsychosocialProtocol (science)PsychologyClinical psychologyMedicineApplied psychologyPhysical therapyPsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Psychosocial problems such as depression, anxiety, and substance abuse are common and burdensome in young people, particularly those with long-term physical conditions such as asthma and diabetes. In New Zealand, "screening" for such problems is undertaken routinely only with Year 9 students in low-decile schools and opportunistically in pediatric settings using a nonvalidated and time-consuming clinician-administered Home, Education/employment, Eating, Activity, Drugs, Sexuality, Suicide/depression, Safety (HEEADSSS) interview. The Youth version, Case-finding and Help Assessment Tool (YouthCHAT) is a relatively new, locally developed, eTablet-based composite screener for identifying similar psychosocial issues to HEEADSSS. Based on individually validated screening instruments, it is self-administered within minutes. Preliminary testing has revealed its acceptability to young people, but further research is required to expand its modules to cover all HEEADSSS domains, to evaluate its acceptability for young people with and without long-term physical conditions, and to compare its effectiveness against HEEADSSS. OBJECTIVE: Our aim is to (1) ascertain acceptability and utility of YouthCHAT for children with long-term physical illness and high school students, (2) validate three additional YouthCHAT domains against comparable HEEADSSS domains, and (3) compare the performance of YouthCHAT and HEEADSSS in the high school setting. METHODS: During the first phase of the study, three additional YouthCHAT domains were codesigned with high school students. During the second phase of the study, the updated version of YouthCHAT will be administered to 30 young people with long-term physical conditions, and to 150 high school students either before or after HEEADSSS in the form of a randomized trial with counter-balanced design. Primary outcomes include comparability between HEEADSSS and YouthCHAT in detecting psychosocial issues, and time to administer; acceptability of YouthCHAT as an acceptable alternative or companion to HEEADSSS assessment; and the utility of YouthCHAT in helping streamline assessment processes. RESULTS: Recruitment for the first phase of this project commenced in November 2016, and the phase will run from February to November 2017. CONCLUSIONS: If YouthCHAT is found to be acceptable to study participants and as effective as a HEEADSSS assessment, it could be an innovative and more efficient means of routine screening for common psychosocial health issues in young people with and without long-term physical conditions. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12616001243404p; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371422 (Archived by WebCite at http://www.webcitation.org/ 6rmlEiM1L).

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)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.115
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.293
GPT teacher head0.588
Teacher spread0.295 · 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.

Study designRandomized trial
Domainnot available
GenreProtocol

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

Citations18
Published2017
Admission routes1
Has abstractyes

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