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The leap to trust: perspective of cholecystectomy patients on informed decision making and consent1

2004· article· en· W1762379668 on OpenAlexaffabout
Martin F. McKneally, Esther Ignagni, Douglas K. Martin, Jason D’Cruz

Bibliographic record

VenueJournal of the American College of Surgeons · 2004
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsUniversity of TorontoToronto General Hospital
Fundersnot available
KeywordsMedicineDistrustContext (archaeology)Informed consentPerspective (graphical)CholecystectomyQualitative researchFamily medicineNursingGeneral surgeryPsychotherapistAlternative medicinePsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Although experts in ethics and law prescribe autonomous decision making as an essential component of informed consent to operative treatment, patients with esophageal cancer told us in a previous study that they preferred to entrust decision making to their caregivers in the context of life-threatening illness. The purpose of this study was to describe the patients' perspective on the process of informed decision making and consent to operative treatment in the context of a less frightening illness and intervention. STUDY DESIGN: Face-to-face interviews with 33 patients recovering from elective cholecystectomy for cholelithiasis were conducted at Toronto General Hospital in Ontario, Canada. The views of patients were analyzed using a qualitative approach. RESULTS: Patients described a spectrum of initial attitudes toward operative treatment ranging from profound distrust to unquestioning faith. Important factors influencing the decision to accept cholecystectomy included increasingly intolerable symptoms and fear of complications of the disease. Patients managed their doubts and fear by various means, without fully resolving them. CONCLUSIONS: In the context of symptomatic chronic cholelithiasis, pathways to consent for operative treatment originated at diverse, culturally determined starting points. Patients work their way through the decision process along many paths. Some rely on gathering information, but eventually all set aside unresolved residual doubts and fears, enabling a leap to trust and a decision to act.

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)0.005
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 score0.063
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.063
GPT teacher head0.401
Teacher spread0.338 · 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

Citations54
Published2004
Admission routes2
Has abstractyes

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