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Record W4383710588 · doi:10.1002/erv.3010

Involuntary treatment: A qualitative study from the perspectives of individuals with anorexia nervosa

2023· article· en· W4383710588 on OpenAlexaff
Renee D. Rienecke, Gina Dimitropoulos, Alan Duffy, Daniel Le Grange, Jamie Manwaring, Sara Nieder, Jessica Sauerwein, Manya Singh, Ashlie Watters, Patricia Westmoreland, Philip S. Mehler

Bibliographic record

VenueEuropean Eating Disorders Review · 2023
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAnorexia nervosaThematic analysisInvoluntary treatmentEating disordersPsychologyPerspective (graphical)Qualitative researchClinical psychologyPsychiatryPerceptionMental health

Abstract

fetched live from OpenAlex

OBJECTIVE: Involuntary treatment for anorexia nervosa (AN) is sometimes necessary and lifesaving but can be experienced negatively by some individuals. The purpose of this qualitative study was to better understand participants' perceptions about their experience with involuntary treatment for AN. METHOD: Thirty adult participants, who had been treated involuntarily for AN in the past, completed self-report measures and qualitative interviews. Interview transcripts were coded using thematic analysis. RESULTS: Three themes were identified: (1) mixed perceptions about involuntary treatment, (2) the impact of involuntary treatment on external factors, including relationships, education, and employment, and (3) lessons learned from the experience. Participants who endorsed a positive shift in perspective regarding the need for involuntary treatment also reported favorable changes in their eating disorder recovery, whereas individuals whose perspective about their involuntary treatment remained negative, showed no changes in their recovery post-treatment. CONCLUSIONS: Involuntary treatment for AN was recognized, in retrospect, as being beneficial by individuals with AN who were doing well, but individuals who continued to struggle with their eating disorder reported negative consequences.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.810

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.373
Teacher spread0.323 · 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 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

Citations21
Published2023
Admission routes1
Has abstractyes

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