Notice bibliographique
Résumé
To a student of music, the cycle of fifths refers to a concept in music theory in which every subsequent musical note in a scale moving clockwise is a fifth away from the previous note. To a gastroenterologist, it may confer another more ominous concept that is a fundamental reason why wait times for colonoscopy will continue to grow. There are few examples in contemporary medicine in which healthy people have been recommended to undergo surveillance procedures at intervals for the rest of their lives. Examples could include mammography and pap smears. Guidelines for screening colonoscopy are evolving, but a large percentage of the adult population could potentially be eligible on the basis of age, previous history of polyps, occult blood in stool or family history of colon cancer. In the case of a positive family history of colon cancer or in a patient in which polyps have been discovered, a cycle of colonoscopy may be initiated every five years on a lifelong basis. Thus, a new referral to remove a polyp in a 50-year-old woman may actually be a referral for eight colonoscopies until her death from other causes at 85 years of age. As these patients enter the waiting game for colonoscopy appointments, a clogging problem develops that is progressive and seemingly unending. A new gastroenterologist begins a busy practice and, in the background, their colonoscopy practice is already building five years from their starting day (Figure 1). The wait times build depending on the number of available slots and the number of referrals. This is modelled for several scenarios (Table 1). The number of second colonoscopies after five years is reduced in the model because of noncompliance, death and relocation. However, as the new initial colonoscopies overlap with repeat colonoscopies, the number of slots available is greatly reduced. As a result, the wait times increase significantly after year 5 (Figure 2). This problem compounds for a second time at year 10, when the number of available slots decreases again. Figure 1) The effects on wait times as initial colonoscopy referrals (•) overlap repeat surveillance colonoscopy (○) Figure 2) Effect of referral rate on waiting times. As initial colonoscopy bookings overlap repeat colonoscopy bookings, there is a marked increase in waiting times because there are fewer slots available for new bookings. This problem compounds at years 10, 15 ... TABLE 1 Modelling scenarios to estimate wait times for a gastroenterologist with 10 colonoscopy slots per week This problem becomes like a snowball rolling down a hill. The wait times continue to increase as long as the number of slots available is less than the number of referrals. There are no easy solutions to this problem. Hospital budgets are seemingly unable to expand existing endoscopy facilities to accommodate the increased demand for these services. Ambulatory endoscopy centres are developing, but gastroenterologists resent the lack of overhead fees that are enjoyed by other specialists (radiology, cardiology). There are many variables in the future that may affect this issue. These may include endoscopy by non-physicians, technical fees to encourage ambulatory endoscopy, or replacement of surveillance by imaging techniques. Scheduling software could be used more effectively to allow physicians to titrate input to capacity. The real losers in this cascade are the symptomatic patients who face significant wait times, because apparently normal cases have beaten them into the queue. The gastroenterologist risks becoming a ‘normoscopist’ because all of their slots have been filled by repeat colonoscopy. Another approach may be to dedicate hospital endoscopy slots to symptomatic patients, and follow-up cases to ambulatory endoscopy centres. As the ambulatory centre begins to clog, new centres need to be constructed. While this may be music to the ears of many gastroenterologists, there are significant financial hurdles before this could become a reality.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».