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Record W4413141007 · doi:10.1136/jme-2024-110629

A large exploratory survey of electroconvulsive therapy recipients, family members and friends: what information do they recall being given?

2025· article· en· W4413141007 on OpenAlexaff
John Read, Chris Harrop, Lisa Morrison, Sarah Hancock, Lucy Johnstone, Sue Cunliffe

Bibliographic record

VenueJournal of Medical Ethics · 2025
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsTraffic Injury Research Foundation
Fundersnot available
KeywordsSnowball samplingRecallElectroconvulsive therapyPsychologyMisinformationPsychiatryRepresentativeness heuristicMedicineClinical psychologySocial psychologySchizophrenia (object-oriented programming)Cognitive psychologyLaw

Abstract

fetched live from OpenAlex

The right to informed consent is a core ethical principle. Recent audits of patient information leaflets about electroconvulsive therapy (ECT), in Australia, England, Northern Ireland, Scotland and Wales, suggest that this principle is often not implemented, with efficacy being exaggerated and risks minimised. In the current study a convenience sample of 858 ECT recipients and 286 family members and friends, from 44 countries, responded to an online survey about their experiences of ECT, including the information they recall being given to them before ECT. Most (59%) of the ECT recipients reported that they had not been given 'adequate information' and a further 17% were 'not sure'. For example, 63% of recipients recall being told that 'ECT can cause temporary memory problems', but only 17% that 'ECT can cause long-term or permanent memory problems, 12% that 'ECT can cause heart problems' and 28% that there are 'Risks from repeated general anaesthesia'. There were higher levels of recalling being told about definite benefits, even though some of these benefits are disputed. When asked to consider a list of items of misinformation, many recipients and relatives reported being told 'Depression is caused by a chemical imbalance in the brain' (58% and 53%, respectively) and 'ECT corrects chemical imbalance or other brain abnormality' (42% and 41%). Study limitations include potential sampling issues (eg, self-selection bias, snowball sampling bias, or other barriers to representativeness due to convenience sampling or network-based recruitment), as well as potential recall bias among survey respondents (last ECT treatment was between 1958 and 2024; average=2012.5). Nevertheless, these findings, in conjunction with previous studies, suggest an urgent need for greater efforts to ensure that patients and families are provided with comprehensive, balanced, evidence-based information when deciding whether to have ECT.

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)0.012
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.003
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 head0.034
GPT teacher head0.354
Teacher spread0.320 · 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

Citations9
Published2025
Admission routes1
Has abstractyes

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