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Record W164398188 · doi:10.1177/120347541201600606

Wait Times for Mohs Micrographic Surgery in Ottawa, Ontario

2012· article· en· W164398188 on OpenAlexaffabout
Lauren LaBerge, Julie Lacroix, Adam J. Mamelak

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineReferralMohs surgerySkin cancerSpecialtyChristian ministrySurgeryGeneral surgeryCancerMedical recordFamily medicine

Abstract

fetched live from OpenAlex

Background: The Ministry of Health and Long-Term Care, in coordination with Cancer Care Ontario, records and analyzes wait times for cancer surgery in the province of Ontario. However, this strategy does not include wait times for skin cancer surgery. Purpose: The wait times and referral patterns of patients undergoing Mohs micrographic surgery at The Ottawa Hospital (TOH) were examined to better assess the adequacy of access to skin cancer treatment in Ontario. Method: The records of 101 Mohs surgeries (96 patients) consecutively performed at TOH between June 14, 2010, and October 19, 2010, were reviewed. The interval between the date the referral for Mohs surgery was first received and the date of surgery was calculated for each case. The specialty of the referring physician and the postal code of each patient treated were also recorded. Results: The average wait time between the date of referral and the date of surgery was 122.6 days or 17.5 weeks (median 124 days, 17.7 weeks). Over 75% of patients waited over 12 weeks (84 days) for cancer surgery. All Mohs surgery patients treated at TOH resided within postal districts in eastern and northern Ontario. Conclusion: The current wait time for Mohs surgery in the Ottawa region is beyond the standard for cancer treatment. Improving access to care and incorporating Mohs surgery into the Ministry of Health and Long-Term Care's Wait Time Strategy might significantly improve this. Renseignements de base: Le ministère de la Santé et des Soins de longue durée, en coordination avec Action Cancer Ontario, enregistre et analyse les délais d'attente pour les chirurgies du cancer dans la province de l'Ontario. Cependant, cette stratégie ne tient pas compte des délais d'attente pour les chirurgies du cancer de la peau. Objectif: Les délais d'attente et les modes d'aiguillage des patients subissant une chirurgie micrographique de Mohs à l'Hôpital d'Ottawa (L'HO) ont été examinés afin de mieux évaluer la pertinence de l'accès au traitement du cancer de la peau en Ontario. Méthode: Les dossiers de 101 cas de chirurgies de Mohs (96 patients) qui ont été effectuées consécutivement à L'HO du 14 juin 2010 au 19 octobre 19 2010 ont été examinés. L'intervalle entre la date à laquelle la recommandation de la chirurgie de Mohs a d'abord été reçue et la date de la chirurgie a été calculé pour chaque cas. La spécialité du médecin orienteur et le code postal de chaque patient traité ont également été enregistrés. Résultats: Le délai d'attente moyen entre la date de recommandation et la date de la chirurgie a été 122,6 jours, soit 17,5 semaines (médiane 124 jours, 17,7 semaines). Plus de 75% des patients ont attendu plus de 12 semaines (84 jours) pour une chirurgie du cancer. Tous les patients qui ont subi une chirurgie de Mohs à L'HO demeuraient dans les districts postaux dans l'est et le nord de l'Ontario. Conclusion: Le délai d'attente actuel pour la chirurgie de Mohs dans la région d'Ottawa est au-delà de la norme pour le traitement du cancer. L'amélioration de l'accès aux soins et l'intégration de la chirurgie de Mohs dans la Stratégie ontarienne de réduction des temps d'attente du ministère de la Santé et des Soins de longue durée pourraient considérablement améliorer cette situation.

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 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)0.002
metaresearch head score (Gemma)0.001
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 score0.357
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.034
GPT teacher head0.278
Teacher spread0.243 · 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 teacher head, 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

Citations3
Published2012
Admission routes2
Has abstractyes

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