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Enregistrement W98359247 · doi:10.1155/2011/584057

Practice Audit in Gastroenterology – the Route to Improving Quality and Safety

2011· letter· en· W98359247 sur OpenAlexaffvenueabout
Subrata Ghosh

Notice bibliographique

RevueCanadian Journal of Gastroenterology · 2011
Typeletter
Langueen
DomaineMedicine
ThématiqueColorectal Cancer Screening and Detection
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésAuditQuality auditQuality (philosophy)MedicineBusinessGastroenterologyAccounting

Résumé

récupéré en direct d'OpenAlex

Practice audits provide insight into quality of clinical care and may drive improvement (1). Increasingly, such practice audits are driven not only by individual physicians but by peer groups and national specialist societies. In gastroenterology and hepatology, several areas of procedural practice provide excellent opportunities for peer-comparator practice audit such as colonoscopy, gastrointestinal bleeding, endoscopic retrograde cholangiopancreatography, endoscopic ultrasound fine-needle aspiration, liver biopsy and detection of Barrett’s esophagus. In addition, nonprocedural practice in gastroenterology such as inflammatory bowel disease and management of chronic diarrhea, dysphagia, viral hepatitis and dyspepsia offer some of the areas of practice that will benefit from peer-comparator practice audits. Increasingly, both personal benchmarking and unit-based benchmarking are becoming equally important to ensuring delivery of high-quality care. This will strive to avoid unwarranted variation in practice through insight, education and training. Colonoscopy practice is leading the development of quality assurance in gastroenterology, being driven by colorectal cancer screening in the asymptomatic population. In the present issue of The Canadian Journal of Gastroenterology, Armstrong et al (2) (pages 13–20) report the finding of the Canadian Association of Gastroenterology (CAG) colonoscopy audit. The data were uniquely collected electronically in real time. While the mean cecal intubation rate was 95%, it was worrying that 42% of colonoscopists reported a mean withdrawal time of less than 6 min. Ten per cent of participants had a mean cecal intubation rate of less than 85%. Other factors that may affect polyp detection such as proper positioning of patients during withdrawal and scrupulous cleaning of the colon by water spray were not reported in this audit. Ten per cent of participants reported polypectomies in 13% or less of their colonoscopies. The linking of processes such as colonoscope withdrawal time to outcome and polyp detection rate provides a strong validation of such a practice audit. The findings may help focus training programs on improving withdrawal time and polyp detection rates by raising awareness in colonoscopists. The outcome of such improvement will be more effective colon cancer screening programs for the population. An important aspect of colonoscopy practice is the knowledge of guidelines such as the most appropriate interval for follow-up colonoscopy after polyp removal or the recognition of the emerging importance of serrated polyps (3). These impact on quality of practice and resource use, and should, therefore, be regulated as closely as the use of drugs in medical practice. Individual variation in practice should be minimized and monitored in areas of practice underpinned by evidence-based national guidelines such as the recently published CAG guidelines (4). Surveillance colonoscopy continues to be underused in high-risk patients and overused in average-risk patients (5). In the face of mounting wait times for colonoscopy, appropriate allocation of this scarce resource is pivotal to favourably affecting outcome. Gastroenterology training programs must focus on quality of endoscopy training using validated benchmarks, but continuing peer-comparator audits are essential in maintaining and improving quality – it is important that such processes are inclusive of all practicing endoscopists both in academic and community settings. The Canadian Journal of Gastroenterology is striving to focus on quality assurance and safety as key areas of research and audit. These are also important national roles for the CAG and the Canadian Association for the Study of the Liver. The structural requirements necessary for quality improvement are best underpinned by national specialist organizations (Figure 1). The public requires continuous demonstration of development, maintenance and measurement of professional competencies by gastroenterologists in an ongoing, structured manner. Increasingly, the government, as payer, will demand evidence of high-quality practice before investing their resources in health care. The Journal has already published several articles on colonoscopy training and quality improvement. Quality assurance in colonoscopy is serving as a model for developing quality assurance programs more widely in gastroenterology and hepatology. Medical quality assurance will be an area of research and development that will characterize the Journal and provide it with a distinctive feature. The appointment of a specialist editor in quality assurance indicates the commitment of the Journal to publishing high-quality articles in this area as a pivotal theme. Figure 1 Elements of peer-comparator quality assurance programs

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,223
score de la tête « metaresearch » (Gemma)0,383
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Évaluation · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,777
Score d'incertitude au seuil0,958

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,2230,383
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0040,002
Bibliométrie0,0070,009
Études des sciences et des technologies0,0060,018
Communication savante0,0240,037
Science ouverte0,0060,021
Intégrité de la recherche0,0190,029
Charge utile insuffisante (le modèle a refusé de juger)0,0170,008

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,274
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
DomaineÉvaluation
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2011
Routes d'admission3
Résumé présentoui

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