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Record W154949740 · doi:10.1155/2006/685960

Practice Audit in Gastroenterology (Page) Program: A Novel Approach to Continuing Professional Development

2006· article· en· W154949740 on OpenAlexafffundvenueabout
David Armstrong, Roger Hollingworth, Tara Gardiner, Michael L. Klassen, Wendy M. Smith, Richard H. Hunt, Alan Barkun, Michael Gould, Desmond Leddin

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2006
Typearticle
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsDalhousie UniversityMcGill UniversityWilliam Osler Health SystemAstraZeneca (Canada)Credit Valley HospitalMcMaster University
FundersMedImmuneOntario Ministry of Health and Long-Term CareAstraZeneca CanadaGlaxoSmithKlineAbbott Laboratories
KeywordsMedicineAuditColonoscopyInternal medicineGeneral surgeryColorectal cancerGastroenterologyCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Practice audit is an important component of continuing professional development that may more readily be undertaken if it were less complex. This qualitative study assessed the use of personal digital assistants to facilitate data collection and review. METHODS: Personal digital assistants programmed with standard questionnaires related to upper gastrointestinal endoscopies (Practice Audit in Gastroenterology-Endoscopy ['PAGE-Endo']) and colonoscopies (PAGE-Colonoscopy ['PAGE-Colo']) were provided to Canadian gastroenterologists, surgeons and internists. Over a three-week audit period, participants recorded indications, and the expected (E) and reported (R) findings for each procedure. Thereafter, participants recorded compliance with reporting, the ease of use and value of the PAGE program, and their willingness to perform another audit. RESULTS: Over 15 to 18 months, 173 participants completed PAGE-Endo (6168 procedures) and 111 completed PAGE-Colo (4776 procedures). Most respondents noted that PAGE was easy to use (99%), beneficial (88% to 95%), and that they were willing undertake another audit (92% to 95%). In PAGE-Endo, alarm features were prevalent (55%), but major reported findings were less common than expected: esophagitis (E 29.9%, R 14.8%), esophageal stricture (E 8.3%, R 3.6%), gastric ulcer (E 17.0%, R 4.7%), gastric cancer (E 4.3%, R 1.0%) and duodenal ulcer (E 11.5%, R 5.7%). In PAGE-Colo, more colonoscopies were performed for symptom investigation (55%) than for screening (25%) or surveillance (20%). There were marked interprovincial variations with respect to sedation, biopsies and technical aspects of colonoscopy. CONCLUSION: Secure, real-time data entry with review of aggregate and individual data in the PAGE program provided an acceptable, straightforward methodology for accredited practice audit activities. PAGE has considerable potential for continuing professional development in gastroenterology and other specialties.

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)0.034
metaresearch head score (Gemma)0.057
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.057
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0040.003
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.273
Teacher spread0.258 · 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

Citations17
Published2006
Admission routes4
Has abstractyes

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