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Record W205058003 · doi:10.3233/jrs-130593

All I have is a void: Women's perceptions of the benefits and side effects of ECT

2013· article· en· W205058003 on OpenAlexaff
Maede Ejaredar, Brad Hagen

Bibliographic record

VenueInternational Journal of Risk & Safety in Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsUniversity of LethbridgeUniversity of Calgary
Fundersnot available
KeywordsQualitative researchThematic analysisPsychologyNarrativeElectroconvulsive therapyPerceptionCognitionClinical psychologyPsychotherapistPsychiatrySociology

Abstract

fetched live from OpenAlex

BACKGROUND: Recent reviews of the benefits and risks associated with electroconvulsive therapy (ECT) have often reported mixed and conflicting results. Although there are very few qualitative studies on ECT, qualitative research offers the advantage of in-depth explorations into how people perceive and experience ECT. OBJECTIVE: The objective of this qualitative study was to explore women's experiences and perceptions of the benefits and side effects associated with having ECT. METHODS: The authors used narrative inquiry and in-depth interviews to obtain nine women's accounts and stories of ECT, focusing particularly on their accounts of perceived benefits and side effects associated with ECT. RESULTS: Qualitative thematic analysis of the interviews with nine women resulted in four main themes emerging from the interviews: "it's sort of like housecleaning," "I don't remember the wedding," made me stupider," and "putting them in a cage with a bear." CONCLUSIONS: Three of the women were able to articulate some perceived benefit arising from ECT, although these women also acknowledged the benefits did not last more than two weeks. The majority of women complained of significant and persistent autobiographical memory loss, cognitive deficits, and fear of the procedure.

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)0.001
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 score0.276
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.283
Teacher spread0.276 · 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

Citations17
Published2013
Admission routes1
Has abstractyes

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