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Record W2142358289 · doi:10.1097/eja.0b013e328357e584

Predictors of patient satisfaction with anaesthesia and surgery care

2012· article· en· W2142358289 on OpenAlex
Colin Royse, Frances Chung, Stanton Newman, Jan Stygall, David Wilkinson

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

VenueEuropean Journal of Anaesthesiology · 2012
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicinePatient satisfactionNauseaAnxietyPerioperativeAnesthesiaObservational studyLogistic regressionPostoperative nausea and vomitingQuality of life (healthcare)SurgeryInternal medicineNursingPsychiatry

Abstract

fetched live from OpenAlex

CONTEXT: Previous research has shown that most patients are satisfied with their anaesthetic care. For those who are not the causes may be multifactorial including dissatisfaction with surgical outcomes. OBJECTIVES: We aimed to identify whether quality of recovery after anaesthesia and surgery measured in multiple domains affects patient satisfaction. DESIGN: Sub-group analysis of previously published observational cohort study of quality of recovery after surgery (using the Postoperative Quality of Recovery Scale) was used to identify predictors of incomplete satisfaction 3 days after surgery. SETTING: Multicentre perioperative surgery. PATIENTS: Patients ≥6 years old, undergoing a variety of operation types and all receiving general anaesthesia. OBSERVATIONS: Of 701 patients, 573 completed the satisfaction question on day 3. Satisfaction was rated by a single five-point rating question. Patients were divided into two groups: 477 (83%) were completely satisfied and 96 (17%) were not completely satisfied. Multivariable logistic regression analysis was performed on preoperative and patient characteristics and recovery in five domains as follows: physiological, nociceptive (pain and nausea), emotive (anxiety and depression), activities of daily living and cognition. Recovery was defined as return to baseline values or better for all questions within each domain. RESULTS: Incomplete satisfaction was predicted by persistent pain or nausea at day 3 [OR 8.2 (95% CI 2.5 to 27), P<0.01] and incomplete satisfaction at day 1 [OR 28 (95% CI 10 to 77), P<0.01]. Paradoxically, incomplete satisfaction was less likely to occur if pain or nausea was present 15 min after surgery [OR 0.34 (95% CI 0.11 to 0.99), P<0.05] or at day 1 [OR 0.30 (95% CI 0.10 to 0.91), P=0.03]. Incomplete recovery in the other domains did not influence satisfaction. CONCLUSION: Of the recovery domains measured using the Postoperative Quality of Recovery Scale, only nociception (pain or nausea) contributed to incomplete satisfaction.

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)0.000
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 score0.132
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.013
GPT teacher head0.218
Teacher spread0.205 · 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