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1.
Can J Surg ; 65(6): E782-E791, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36384689

RESUMO

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.


Assuntos
Neoplasias , Assistência de Saúde Universal , Humanos , Incidência , Estudos Retrospectivos , Estudos de Coortes , Neoplasias/epidemiologia , Neoplasias/cirurgia , Ontário/epidemiologia
2.
BMJ Open Ophthalmol ; 8(1)2023 05.
Artigo em Inglês | MEDLINE | ID: mdl-37278413

RESUMO

OBJECTIVE: In this study, we investigated the demographic trends of patients undergoing ophthalmic surgeries based on geographic region, priority level, and sex. METHODS AND ANALYSIS: This population-based retrospective cohort study used the Ontario Health Wait Times Information System (WTIS) database from 2010 to 2021. The WTIS contains non-emergent surgical case volume and wait time data for 14 different regions, three priority levels (high, medium and low) and six ophthalmic subspecialty procedures. RESULTS: Over the study period, on average 83 783 women and 65 555 men underwent ophthalmic surgery annually in Ontario. Overall, women waited an aggregate mean of 4.9 days longer than men to undergo surgery, and this disparity persisted across all geographic and priority stratifications. The average age at the time of surgery has been increasing slowly at a rate of 0.02 years/year (95% CI 0.00 to 0.05), with women being 0.6 years older than men overall. CONCLUSION: These findings indicate that women have consistently longer wait times than men. The results of this study may be a sign of systemic sex-based differences that could be affecting women who need to be further explored for health equity.


Assuntos
Equidade em Saúde , Oftalmologia , Masculino , Humanos , Feminino , Recém-Nascido , Ontário , Estudos Retrospectivos , Demografia
3.
Clin Ophthalmol ; 17: 1823-1831, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37397955

RESUMO

Objective: To investigate the effects of the COVID-19 pandemic on case volumes and wait-times for ophthalmic surgery in Ontario, Canada. Design: Population-based retrospective cohort study. Participants: Patients undergoing ophthalmic surgery in Ontario, Canada, from 2010 to 2021, collected from the Ontario Health Wait Times Information System (WTIS) database. Methods: The WTIS contains non-emergent surgical case volume and wait-time data for six ophthalmic subspecialty surgery types, three priority levels (low, medium, high) and 14 different regions in Ontario. Case volume and wait-times were compared between the COVID-19 pandemic (2020-2021) and the preceding time period (2010-2019) across all stratifications. Results: There was a significant decrease in case volumes and significant increase in wait-times across geographic regions, priority levels, and subspecialty surgeries from the pre-pandemic to pandemic period. Moreover, COVID-19 exacerbated pre-existing wait-time disparities between sexes, with females waiting 4.1 days longer than males overall to receive surgery in 2010-2019 compared to waiting 8.8 days longer in 2020-2021 (117% increase). Conclusion: These findings highlight the impact of the COVID-19 pandemic on ophthalmic surgical wait times in Ontario. Cataract, strabismus and oculoplastic surgeries, the Waterloo Wellington, Central, and South East regions of Ontario, and those with female sex had the greatest relative increases in wait-times during the pandemic.

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