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Record W2760450057 · doi:10.3390/healthcare5040069

What Else? The Basics and Beyond for Effective Consultations with Youth with Special Healthcare Needs

2017· article· en· W2760450057 on OpenAlexaff
April Elliott, Monique Jericho

Bibliographic record

VenueHealthcare · 2017
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCoachingCuriosityPsychosocialHealth careEmpathyPsychologyFlexibility (engineering)Openness to experienceMedical educationPopulationMedicineApplied psychologyNursingInternet privacyPsychotherapistComputer sciencePsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Youth with special healthcare needs (YSHCN) require medical support for disease management and equally require that providers be responsive to their ever-changing and sometimes unique psychosocial and developmental needs. This paper reviews the fundamentals of adolescent consultation reminding the reader that YSHCN are, after all, still youth with the same basic needs as their healthy peers. Beyond the basics, consultations with this population are characterized by complexities which are best managed by providers who can nimbly adjust their clinical stance. In non-urgent clinical scenarios, clinicians can adopt a coaching stance which we introduce and expand upon in this paper. Characterized by the five elements of non-judgment, curiosity, empathy, openness, and flexibility, the coaching stance can be adopted without specific training. We demonstrate its application using TGROW (Topic, Goal, Reality, Options and Wrap Up), a coaching framework that holds promise for use in clinical settings. Consultants may consider incorporating the coaching stance and TGROW into their practice repertoire, as both may be particularly helpful when consulting with adolescents with chronic illness.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0090.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.066
GPT teacher head0.409
Teacher spread0.343 · 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 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

Citations1
Published2017
Admission routes1
Has abstractyes

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