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Record W2790733803 · doi:10.1002/eat.22857

Consensus‐based perspectives of pediatric inpatient eating disorder services

2018· article· en· W2790733803 on OpenAlexaff
Amy O’Brien, Julie McCormack, Kimberley J. Hoiles, Hunna J. Watson, Rebecca Anderson, Phillipa Hay, Sarah J. Egan

Bibliographic record

VenueInternational Journal of Eating Disorders · 2018
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsMedicineInpatient careAutonomyEating disordersDelphi methodMEDLINEPsychiatryFamily medicinePsychologyHealth care

Abstract

fetched live from OpenAlex

OBJECTIVE: There are few evidence-based guidelines for inpatient pediatric eating disorders. The aim was to gain perspectives from those providing and receiving inpatient pediatric eating disorder care on the essential components treatment. METHOD: A modified Delphi technique was used to develop consensus-based opinions. Participants (N = 74) were recruited for three panels: clinicians (n = 24), carers (n = 31), and patients (n = 19), who endorsed three rounds of statements online. RESULTS: A total of 167 statements were rated, 79 were accepted and reached a consensus level of at least 75% across all panels, and 87 were rejected. All agreed that families should be involved in treatment, and thatpsychological therapy be offered in specialist inpatient units. Areas of disagreement included that patients expressed a desire for autonomy in sessions being available without carers, and that weight gain should be gradual and admissions longer, in contrast to carers and clinicians. Carers endorsed that legal frameworks should be used to retain patients if required, and that inpatients are supervised at all times, in contrast to patients and clinicians. Clinicians endorsed that food access should be restricted outside meal times, in contrast to patients and carers. DISCUSSION: The findings indicate areas of consensus in admission criteria, and that families should be involved in treatment, family involvement in treatment, while there was disagreement across groups on topics including weight goals and nutrition management. Perspectives from patients, carers, and clinicians may be useful to consider during future revisions of best practice guidelines.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.328
Teacher spread0.314 · 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

Citations12
Published2018
Admission routes1
Has abstractyes

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