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Record W1986939808 · doi:10.1097/qmh.0b013e3181ccbd40

Patient Satisfaction With the Services of a Pediatric Digestive Tract Endoscopy Unit

2010· article· en· W1986939808 on OpenAlexaff
Hamid Khour, Patricia Perreault, Denise Herzog

Bibliographic record

VenueQuality Management in Health Care · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de Montréal
Fundersnot available
KeywordsSedationPatient satisfactionAnxietyEndoscopyMedicineUnit (ring theory)Quality (philosophy)NursingPsychologyPsychiatryAnesthesiaSurgery

Abstract

fetched live from OpenAlex

Global satisfaction is the result of satisfaction with sequential connected caregiving activities administered according to current quality standards. We assessed patients' satisfaction with diagnostic digestive endoscopy via a questionnaire, asking for the state of information, organizational issues, anxiety, pain and discomfort, and medication side effects. A total of 157 patients completed the questionnaire before and after the procedure, and the endoscopy nurse filled it during the procedure. Despite a high rate of global satisfaction, the questionnaire disclosed several items to improve: Patient information on medication intake before digestive endoscopy was insufficient. Patients would have appreciated more detailed description on the type of sedation during the procedure. While the amnesic effect of our sedation was good, the analgesic effect was less optimal. These results suggest that the questionnaire is a valid tool to assess both patients' satisfaction and quality of care in a pediatric endoscopy unit and that patient satisfaction does not necessarily reflect quality of care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.060
GPT teacher head0.438
Teacher spread0.378 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2010
Admission routes1
Has abstractyes

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