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Record W2971484252 · doi:10.1177/1558944719873146

“Uninformed” Consent: Patient Recollection From Surgical Consent in Hand Surgery—A Quality Improvement Initiative

2019· article· en· W2971484252 on OpenAlex
Monica Yu, Herbert P. von Schroeder

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.

Bibliographic record

VenueHand · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineInformed consentRecallPatient satisfactionQuality (philosophy)SurgeryAlternative medicine

Abstract

fetched live from OpenAlex

Background: Informed surgical consent is necessary and routine; however, it can have significant inadequacies. Our purpose was to investigate patient recollection of the surgical consent process and evaluate adequacy from the patient’s perspective. Methods: A quality improvement framework was used. Two patient surveys capturing information recall and satisfaction of the consent process were administered in 5 consecutive hand clinics. All patients who previously underwent elective hand surgery were included. Results: There was exceptionally low recall of the risks and benefits of surgery in 103 consecutive patients who underwent hand surgery. Patients under age 35 had slightly better recall of surgical risks. Unexpected postoperative events affected patient perceptions of the consent process. Conclusions: Patients who have undergone elective hand surgery have poor recollection of the information discussed during the surgical consent process, and therefore the process is lacking. Surgeons may falsely assume that the consent process is sound because it is erroneously perceived as being sufficient by most patients.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.483
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.322
GPT teacher head0.438
Teacher spread0.116 · 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