A Comparison of Palliative Care Delivery between Ethnically Chinese and Non-Chinese Canadians in the Last Year of Life.

BACKGROUND: Ethnically Chinese adults in Canada and the United States face multiple barriers in accessing equitable, culturally respectful care at the end-of-life. Palliative care (PC) is committed to supporting patients and families in achieving goal-concordant, high-quality serious illness care. Yet, current PC delivery may be culturally misaligned. Therefore, understanding ethnically Chinese patients' use of palliative care may uncover modifiable factors to sustained inequities at the end-of-life. OBJECTIVE: To compare the use and delivery of PC in the last year of life between ethnically Chinese and non-Chinese adults. DESIGN: Population-based cohort study. PARTICIPANTS: All Ontario adults who died between January 1st, 2012, and October 31st, 2022, in Ontario, Canada. EXPOSURES: Chinese ethnicity. MAIN MEASURES: Elements of physician-delivered PC, including model of care (generalist; specialist; mixed), timing and location of initiation, and type of palliative care physician at initial consultation. KEY RESULTS: The final study cohort included 527,700 non-Chinese (50.8% female, 77.9 ± 13.0 mean age, 13.0% rural residence) and 13,587 ethnically Chinese (50.8% female, 79.2 ± 13.6 mean age, 0.6% rural residence) adults. Chinese ethnicity was associated with higher likelihoods of using specialist (adjusted odds ratio [aOR] 1.53, 95%CI 1.46-1.60) and mixed (aOR 1.32, 95%CI 1.26-1.38) over generalist models of PC, compared to non-Chinese patients. Chinese ethnicity was also associated with a higher likelihood of PC initiation in the last 30 days of life (aOR 1.07, 95%CI 1.03-1.11), in the hospital setting (aOR 1.24, 95%CI 1.18-1.30), and by specialist PC physicians (aOR 1.33, 95%CI 1.28-1.38). CONCLUSIONS: Chinese ethnicity was associated with a higher likelihood of mixed and specialist models of PC delivery in the last year of life compared to adults who were non-Chinese. These observed differences may be due to later initiation of PC in hospital settings, and potential differences in unmeasured needs that suggest opportunities to initiate early, community-based PC to support ethnically Chinese patients with serious illness.

Attending physicians' annual service volume and use of virtual end-of-life care: A population-based cohort study in Ontario, Canada.

IMPORTANCE: Physicians and their practice behaviors influence access to healthcare and may represent potentially modifiable targets for practice-changing interventions. Use of virtual care at the end-of-life significantly increased during the COVID-19 pandemic, but its association with physician practice behaviors, (e.g., annual service volume) is unknown. OBJECTIVE: Measure the association of physicians' annual service volume with their use of virtual end-of-life care (EOLC) and the magnitude of physician-attributable variation in its use, before and during the pandemic. DESIGN, SETTING AND PARTICIPANTS: Population-based cohort study using administrative data of all physicians in Ontario, Canada who cared for adults in the last 90 days of life between 01/25/2018-12/31/2021. Multivariable modified Poisson regression models measured the association between attending physicians' use of virtual EOLC and their annual service volume. We calculated the variance partition coefficients for each regression and stratified by time period before and during the pandemic. EXPOSURE: Annual service volume of a person's attending physician in the preceding year. MAIN OUTCOMES AND MEASURES: Delivery of ≥1 virtual EOLC visit by a person's attending physician and the proportion of variation in its use attributable to physicians. RESULTS: Among the 35,825 unique attending physicians caring for 315,494 adults, use of virtual EOLC was associated with receiving care from a high compared to low service volume attending physician; the magnitude of this association diminished during the pandemic (adjusted RR 1.25 [95% CI 1.14, 1.37] pre-pandemic;1.10 (95% CI 1.08, 1.12) during the pandemic). Physicians accounted for 36% of the variation in virtual EOLC use pre-pandemic and 12% of this variation during the pandemic. CONCLUSIONS AND RELEVANCE: Physicians' annual service volume was associated with use of virtual EOLC and physicians accounted for a substantial proportion of the variation in its use. Physicians may be appropriate and potentially modifiable targets for interventions to modulate use of EOLC delivery.

Association of virtual end-of-life care with healthcare outcomes before and during the COVID-19 pandemic: A population-based study.

The use of virtual care for people at the end-of-life significantly increased during the COVID-19 pandemic, but its association with acute healthcare use and location of death is unknown. The objective of this study was to measure the association between the use of virtual end-of-life care with acute healthcare use and an out-of-hospital death before vs. after the introduction of specialized fee codes that enabled broader delivery of virtual care during the COVID-19 pandemic. This was a population-based cohort study of 323,995 adults in their last 90 days of life between January 25, 2018 and December 31, 2021 using health administrative data in Ontario, Canada. Primary outcomes were acute healthcare use (emergency department, hospitalization) and location of death (in or out-of-hospital). Prior to March 14, 2020, 13,974 (8%) people received at least 1 virtual end-of-life care visit, which was associated with a 16% higher rate of emergency department use (adjusted Rate Ratio [aRR] 1.16, 95%CI 1.12 to 1.20), a 17% higher rate of hospitalization (aRR 1.17, 95%CI 1.15 to 1.20), and a 34% higher risk of an out-of-hospital death (aRR 1.34, 95%CI 1.31 to 1.37) compared to people who did not receive virtual end-of-life care. After March 14, 2020, 104,165 (71%) people received at least 1 virtual end-of-life care visit, which was associated with a 58% higher rate of an emergency department visit (aRR 1.58, 95%CI 1.54 to 1.62), a 45% higher rate of hospitalization (aRR 1.45, 95%CI 1.42 to 1.47), and a 65% higher risk of an out-of-hospital death (aRR 1.65, 95%CI 1.61 to 1.69) compared to people who did not receive virtual end-of-life care. The use of virtual end-of-life care was associated with higher acute healthcare use in the last 90 days of life and a higher likelihood of dying out-of-hospital, and these rates increased during the pandemic.

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.