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Record W3039950921 · doi:10.1177/0706743720935647

Patient-level Characteristics and Inequitable Access to Inpatient Electroconvulsive Therapy for Depression: A Population-based Cross-sectional Study: Caractéristiques au niveau du patient et accès inéquitable à la thérapie électroconvulsive pour patients hospitalisés

2020· article· en· W3039950921 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2020
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsSt. Michael's HospitalWomen's College HospitalUniversity of TorontoInstitute for Clinical Evaluative SciencesCentre for Addiction and Mental Health
FundersCanadian Institutes of Health Research
KeywordsElectroconvulsive therapyDepression (economics)MedicineLogistic regressionOdds ratioPopulationPsychiatryCohortOddsCross-sectional studyMajor depressive episodeInternal medicineCognition

Abstract

fetched live from OpenAlex

OBJECTIVE: A variety of patient characteristics drive the use of electroconvulsive therapy (ECT) in depression. However, the extent to which each characteristic influences the receipt of ECT, and whether they are appropriate, is unknown. The aim of this study is to identify patient-level characteristics associated with receiving inpatient ECT for depression. METHOD: We identified all psychiatric inpatients with a major depressive episode admitted to hospital ≥3 days in Ontario, Canada (2009 to 2017). The association between patient-level characteristics at admission and receipt of inpatient ECT was determined using logistic regression, where a generalized estimating equations approach accounted for repeat admissions. RESULTS: The cohort included 53,174 inpatients experiencing 75,429 admissions, with 6,899 admissions involving ECT (9.2%). Among demographic factors, age was most associated with ECT-younger adults had reduced (OR = 0.30, 95%CI, 0.24 to 0.37; 18 to 25 years) while older adults had increased (OR = 3.08, 95%CI, 2.41 to 3.93; 85+ years) odds compared to middle-aged adults (46 to 55 years). The likelihood of ECT was greater for individuals who were married/partnered, had postsecondary education, and resided in the highest neighborhood income quintile. Among clinical factors, illness polarity was most associated with receiving ECT-bipolar depression had reduced odds of receiving ECT (OR = 0.62, 95%CI, 0.57 to 0.69) The likelihood of receiving ECT was greater in psychotic depression, more depressive symptoms, and incapable to consent to treatment and was reduced with comorbid substance use disorders and several medical comorbidities. CONCLUSIONS: Nearly 1 in 10 admissions for depression in Ontario, Canada, involve ECT. Many clinical factors associated with receiving inpatient ECT were concordant with clinical guidelines; however, nonclinical factors associated with its use warrant investigation of their impact on equitable access to 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.025
GPT teacher head0.307
Teacher spread0.282 · 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