Cancer surgery cancellation: incidence, outcomes and recovery in a universal health care system.

BACKGROUND: Cancer surgery cancellation can have negative consequences for the patient, the surgeon and the health care system. There is a paucity of literature on cancer surgery cancellation and its association with wait times, perioperative outcomes, survival and costs of care. Therefore, the objective of this study was to determine the incidence of same-day cancer surgery cancellation in a universal health care context and its association with short and long-term outcomes. METHODS: This was a population-based retrospective cancer cohort study in Ontario, Canada (2010-2016). There were 199 599 patients in the control cohort and 3539 patients in the cohort that experienced a cancellation. We assessed the cohorts for differences in survival, perioperative complications and costs of care. RESULTS: The overall cancellation rate was 1.74% and was predicted by cancer type (genitourinary), lower income quintile, and more central region of residence. Wait times in the cancelled cohort were longer than in the control cohort; however, this difference was not associated with worse survival outcomes. Patients in the cancelled cohort had higher complication rates while in hospital (7.3 %) than those in the control cohort (4.9%; p < 0.01). After adjusting for important confounders, the cancelled cohort was more costly ($1100). CONCLUSION: Same-day cancer surgery cancellation rates were low. They were associated with longer wait times, higher complication rates and increased costs of care. Survival was not worse in the cancelled cohort, suggesting that appropriate cancer urgency prioritization occurs. Preventable causes of cancellation should be targeted to improve outcomes in patients with cancer.

Clearing the surgical backlog caused by COVID-19 in Ontario: a time series modelling study.

BACKGROUND: To mitigate the effects of coronavirus disease 2019 (COVID-19), jurisdictions worldwide ramped down nonemergent surgeries, creating a global surgical backlog. We sought to estimate the size of the nonemergent surgical backlog during COVID-19 in Ontario, Canada, and the time and resources required to clear the backlog. METHODS: We used 6 Ontario or Canadian population administrative sources to obtain data covering part or all of the period between Jan. 1, 2017, and June 13, 2020, on historical volumes and operating room throughput distributions by surgery type and region, and lengths of stay in ward and intensive care unit (ICU) beds. We used time series forecasting, queuing models and probabilistic sensitivity analysis to estimate the size of the backlog and clearance time for a +10% (+1 day per week at 50% capacity) surge scenario. RESULTS: Between Mar. 15 and June 13, 2020, the estimated backlog in Ontario was 148 364 surgeries (95% prediction interval 124 508-174 589), an average weekly increase of 11 413 surgeries. Estimated backlog clearance time is 84 weeks (95% confidence interval [CI] 46-145), with an estimated weekly throughput of 717 patients (95% CI 326-1367) requiring 719 operating room hours (95% CI 431-1038), 265 ward beds (95% CI 87-678) and 9 ICU beds (95% CI 4-20) per week. INTERPRETATION: The magnitude of the surgical backlog from COVID-19 raises serious implications for the recovery phase in Ontario. Our framework for modelling surgical backlog recovery can be adapted to other jurisdictions, using local data to assist with planning.

The Road to Improving Access to Surgical Specialist Consultations: Ontario's Experience with Wait 1 Wait Time Data.

In 2009, the Ontario Ministry of Health and Long-Term Care engaged Cancer Care Ontario to expand the Wait Time Information System to capture surgical consultation data (Wait 1). Over the years, an increasing number of patient and provider reports have shown that Wait 1 wait times account for a significant portion of the total wait time for surgery. With data published online by the ministry in late summer 2017, patients were given access to consultation wait time information for over 200 types of procedures at 92 surgical facilities in Ontario. This article explains how a highly focused data strategy, strong stakeholder and clinical expert support and a comprehensive communications strategy were critical to driving change for a large-scale provincial initiative, which is helping to drive better access for patients and improve transparency and accountability.

Reprise du retard en chirurgie causé par la COVID-19 en Ontario : étude de modélisation de séries chronologiques.

CONTEXTE: Pour limiter la propagation de la maladie à coronavirus 2019 (COVID-19), de nombreux pays ont décidé de réduire le nombre d'interventions chirurgicales non urgentes, ce qui a créé des retards en chirurgie partout dans le monde. Notre objectif était d'évaluer l'ampleur du retard pour ce type d'interventions en Ontario, au Canada, ainsi que le temps et les ressources nécessaires pour y remédier. MÉTHODES: Nous avons consulté 6 bases de données administratives décrivant la population ontarienne et canadienne pour dégager la distribution du volume chirurgical et de la cadence des salles d'opération pour chaque type d'interventions et chaque région, et connaître la durée d'occupation d'un lit d'hôpital et d'un lit de soins intensifs. Les données utilisées concernent l'ensemble ou une partie de la période du 1er janvier 2017 au 13 juin 2020. Nous avons estimé l'ampleur du retard accumulé et prédit le temps nécessaire pour le reprendre dans un scénario avec capacité d'appoint de + 10 % (ajout d'un jour à 50 % de la capacité par semaine) à l'aide de modèles de séries chronologiques, de modèles de files d'attente et d'une analyse de sensibilité probabiliste. RÉSULTATS: Entre le 15 mars et le 13 juin 2020, le retard en chirurgie à l'échelle de l'Ontario s'est accru de 148 364 opérations (intervalle de prévision à 95 % 124 508­174 589) au total, et en moyenne de 11 413 opérations par semaine. Pour reprendre le retard accumulé, il faudra environ 84 semaines (intervalle de confiance [IC] à 95 % 46­145) et une cadence hebdomadaire de 717 patients (IC à 95 % 326­1367), qui elle demande 719 heures passées au bloc opératoire (IC à 95 % 431­1038), 265 lits d'hôpital (IC à 95 % 87­678) et 9 lits de soins intensifs (IC à 95 % 4­20) par semaine. INTERPRÉTATION: L'ampleur du retard en chirurgie dû à la COVID-19 laisse entrevoir de graves conséquences pour la phase de reprise en Ontario. Le cadre qui nous a servi à modéliser la reprise du retard peut être adapté ailleurs, avec des données locales, pour faciliter la planification.

Surgeon- and hospital-level variation in wait times for scheduled non-urgent surgery in Ontario, Canada: A cross-sectional population-based study.

BACKGROUND: Canadian health systems fare poorly in providing timely access to elective surgical care, which is crucial for quality, trust, and satisfaction. METHODS: We conducted a cross-sectional analysis of surgical wait times for adults receiving non-urgent cataract surgery, knee arthroplasty, hip arthroplasty, gallbladder surgery, and non-cancer uterine surgery in Ontario, Canada, between 2013 and 2019. We obtained data from the Wait Times Information System (WTIS) database. Inter- and intra-hospital and surgeon variations in wait time were described graphically with caterpillar plots. We used non-nested 3-level hierarchical random effects models to estimate variation partition coefficients, quantifying the proportion of wait time variance attributable to surgeons and hospitals. RESULTS: A total of 942,605 procedures at 107 healthcare facilities, conducted by 1,834 surgeons, were included in the analysis. We observed significant intra- and inter-provider variations in wait times across all five surgical procedures. Inter-facility median wait time varied between six-fold for gallbladder surgery and 15-fold for knee arthroplasty. Inter-surgeon variation was more pronounced, ranging from a 17-fold median wait time difference for cataract surgery to a 216-fold difference for non-cancer uterine surgery. The proportion of variation in wait times attributable to facilities ranged from 6.2% for gallbladder surgery to 23.0% for cataract surgery. In comparison, surgeon-related variation ranged from 16.0% for non-cancer uterine surgery to 28.0% for cataract surgery. IMPLICATIONS: There is extreme variability in surgical wait times for five common, high-volume, non-urgent surgical procedures. Strategies to address surgical wait times must address the variation between service providers through better coordination of supply and demand. Approaches such as single-entry models could improve surgical system performance.

Social determinants of access to timely elective surgery in Ontario, Canada: a cross-sectional population level study.

BACKGROUND: Equitable access to surgical care has clinical and policy implications. We assess the association between social disadvantage and wait times for elective surgical procedures in Ontario. METHODS: We conducted a cross-sectional analysis using administrative data sets of adults receiving nonurgent inguinal hernia repair, cholecystectomy, hip arthroplasty, knee arthroplasty, arthroscopy, benign uterine surgery and cataract surgery from April 2013 to December 2019. We assessed the relation between exceeding target wait times and the highest versus lowest quintile of marginalization dimensions by use of generalized estimating equations logistic regression. RESULTS: Of the 1 385 673 procedures included, 174 633 (12.6%) exceeded the target wait time. Adjusted analysis for cataract surgery found significantly increased odds of exceeding wait times for residential instability (adjusted odd ratio [OR] 1.16, 95% confidence interval [CI] 1.11-1.21) and recent immigration (adjusted OR 1.12, 95% CI 1.07-1.18). The highest deprivation quintile was associated with 18% (adjusted OR 1.18, 95% CI 1.12-1.24) and 20% (adjusted OR 1.20, 95% CI 1.12-1.28) increased odds of exceeding wait times for knee and hip arthroplasty, respectively. Residence in areas where higher proportions of residents self-identify as being part of a visible minority group was independently associated with reduced odds of exceeding target wait times for hip arthroplasty (adjusted OR 0.82, 95% CI 0.75-0.91), cholecystectomy (adjusted OR 0.68, 95% CI 0.59-0.79) and hernia repair (adjusted OR 0.65, 95% CI 0.56-0.77) with an opposite effect in benign uterine surgery (adjusted OR 1.28, 95% CI 1.17-1.40). INTERPRETATION: Social disadvantage had a small and inconsistent impact on receiving care within wait time targets. Future research should consider these differences as they relate to resource distribution and the organization of clinical service delivery.

Delivery of Cancer Care in Ontario, Canada, During the First Year of the COVID-19 Pandemic.

Importance: The COVID-19 pandemic has impacted cancer systems worldwide. Quantifying the changes is critical to informing the delivery of care while the pandemic continues, as well as for system recovery and future pandemic planning. Objective: To quantify change in the delivery of cancer services across the continuum of care during the COVID-19 pandemic. Design, Setting, and Participants: This population-based cohort study assessed cancer screening, imaging, diagnostic, treatment, and psychosocial oncological care services delivered in pediatric and adult populations in Ontario, Canada (population 14.7 million), from April 1, 2019, to March 1, 2021. Data were analyzed from May 1 to July 31, 2021. Exposures: COVID-19 pandemic. Main Outcomes and Measures: Cancer service volumes from the first year of the COVID-19 pandemic, defined as April 1, 2020, to March 31, 2021, were compared with volumes during a prepandemic period of April 1, 2019, to March 31, 2020. Results: During the first year of the pandemic, there were a total of 4 476 693 cancer care services, compared with 5 644 105 services in the year prior, a difference of 20.7% fewer services of cancer care, representing a potential backlog of 1 167 412 cancer services. While there were less pronounced changes in systemic treatments, emergency and urgent imaging examinations (eg, 1.9% more parenteral systemic treatments) and surgical procedures (eg, 65% more urgent surgical procedures), major reductions were observed for most services beginning in March 2020. Compared with the year prior, during the first pandemic year, cancer screenings were reduced by 42.4% (-1 016 181 screening tests), cancer treatment surgical procedures by 14.1% (-8020 procedures), and radiation treatment visits by 21.0% (-141 629 visits). Biopsies to confirm cancer decreased by up to 41.2% and surgical cancer resections by up to 27.8% during the first pandemic wave. New consultation volumes also decreased, such as for systemic treatment (-8.2%) and radiation treatment (-9.3%). The use of virtual cancer care increased for systemic treatment and radiation treatment and psychosocial oncological care visits, increasing from 0% to 20% of total new or follow-up visits prior to the pandemic up to 78% of total visits in the first pandemic year. Conclusions and Relevance: In this population-based cohort study in Ontario, Canada, large reductions in cancer service volumes were observed. While most services recovered to prepandemic levels at the end of the first pandemic year, a substantial care deficit likely accrued. The anticipated downstream morbidity and mortality associated with this deficit underscore the urgent need to address the backlog and recover cancer care and warrant further study.

The nursing role in patient education regarding outpatient neurosurgical procedures.

The shift towards patient-centred care is the priority in health care today. Providing quality care that is highly efficient and patient-friendly while also being cost-effective is a difficult, but not impossible task. Since 1996, awake, image-guided day surgery for resection of brain tumors has been performed at Toronto Western Hospital in an attempt to combine the concept of patient-centred care with responsible resource allocation. Nurses can play a vital role in facilitating a shift in outpatient neurosurgery towards a more patient-care focused environment. By providing information and education to patients and families, nurses have enormous potential to improve satisfaction and outcomes for patients undergoing these procedures. Thoroughly preparing patients for their surgery and helping them manage their care post-operatively are the keys to decreased complications and re-admission. This would undoubtedly improve cost-effectiveness for the system while simultaneously improving the patients' quality of life.