Surgeon Postoperative Opioid Prescribing Intensity and Risk of Persistent Opioid Use Among Opioid-naive Adult Patients: A Population-based Cohort Study.

OBJECTIVE: The aim of this study was to determine the relationship between surgeon opioid prescribing intensity and subsequent persistent opioid use among patients undergoing surgery. SUMMARY BACKGROUND DATA: The extent to which different postoperative prescribing practices lead to persistent opioid use among surgical patients is poorly understood. METHODS: Retrospective population-based cohort study assessing opioid-naive adults who underwent 1 of 4 common surgeries. For each surgical procedure, the surgeons' opioid prescribing intensity was categorized into quartiles based on the median daily dose of morphine equivalents of opioids dispensed within 7 days of the surgical visit for all the surgeons' patients. The primary outcome was persistent opioid use in the year after surgery, defined as 180 days or more of opioids supplied within the year after the index date excluding prescriptions filled within 30 days of the index date. Secondary outcomes included a refill for an opioid within 30 days and emergency department visits and hospitalizations within 1 year. RESULTS: Among 112,744 surgical patients, patients with surgeons in the highest intensity quartile (Q4) were more likely to fill an opioid prescription within 7 days after surgery compared with those in the lowest quartile (Q1) (83.3% Q4 vs 65.4% Q1). In the primary analysis, the incidence of persistent opioid use in the year after surgery was rare in both highest and lowest quartiles (0.3% Q4 vs 0.3% Q1), adjusted odds ratio (AOR) of 1.18, 95% CI 0.83-1.66). However, multiple analyses using stricter definitions of persistent use that included the requirement of a prescription filled within 7 days of discharge after surgery showed a significant association with surgeon quartile (up to an AOR 1.36, 95% CI 1.25, 1.47). Patients in Q4 were more likely to refill a prescription within 30 days (4.8% Q4 vs 4.0% Q1, AOR 1.14, 95% CI 1.04-1.24). CONCLUSIONS: Surgeons' overall prescribing practices may contribute to persistent opioid use and represent a target for quality improvement. However, the association was highly sensitive to the definition of persistent use used.

Temporal Trends and Sex Differences in Intensity of Healthcare at the End of Life in Adults With Heart Failure.

Background Patients with chronic disease prefer an adequately supported death at home, but often die in the hospital. We assessed temporal trends and sex differences in healthcare intensity and location of death among decedents with heart failure. Methods and Results This was a retrospective cohort study of adults with heart failure who died between April 1, 2004 and March 31, 2017 in Ontario, Canada. We used population-based administrative databases to assess healthcare utilization during the last 6 months of life and applied multilevel multivariable logistic regression to assess whether sex was independently associated with location of death. Among 396 024 decedents with heart failure, mean (SD) age was 81.8 (10.7) years, 51.5% were women, and 53.4% had in-hospital deaths. From 2004 to 2016, there was an increase in patients receiving mechanical ventilation (15.1%-19.6%), hemodialysis (5.2%-6.8%), and cardiac revascularization (1.7%-2.3%). Relative to men, women spent fewer days in a hospital (mean, 16.4 versus 18.3; mean difference, 1.9; 95% CI, 1.7-2.0; P<0.001) and in an intensive care unit (mean, 2.1 versus 3.0; mean difference, 0.9; 95% CI, 0.8-0.9; P<0.001); and less commonly received mechanical ventilation (15.5% versus 20.8%; P<0.001); hemodialysis (4.8% versus 7.7%; P<0.001); or cardiac catheterization (2.8% versus 4.6%; P<0.001). Female sex was independently associated with lower odds of in-hospital death (odds ratio, 0.88; 95% CI, 0.87-0.89). Mean (SD) 6-month direct healthcare cost was greater for in-hospital ($52 349 [$55 649]) than out-of-hospital ($35 998 [$31 900]) death. Conclusions Among decedents with heart failure, invasive care in the last 6 months increased in prevalence over time but was less common in women, who had lower odds of dying in a hospital.

Comparison of 2 Triage Scoring Guidelines for Allocation of Mechanical Ventilators.

Importance: In the current setting of the coronavirus disease 2019 pandemic, there is concern for the possible need for triage criteria for ventilator allocation; to our knowledge, the implications of using specific criteria have never been assessed. Objective: To determine which and how many admissions to intensive care units are identified as having the lowest priority for ventilator allocation using 2 distinct sets of proposed triage criteria. Design, Setting, and Participants: This retrospective cohort study conducted in spring 2020 used data collected from US hospitals and reported in the Philips eICU Collaborative Research Database. Adult admissions (N = 40 439) to 291 intensive care units from 2014 to 2015 who received mechanical ventilation and were not elective surgery patients were included. Exposures: New York State triage criteria and original triage criteria proposed by White and Lo. Main Outcomes and Measures: Sequential Organ Failure Assessment (SOFA) scores were calculated for admissions. The proportion of patients who met initial criteria for the lowest level of priority for mechanical ventilation using each set of criteria and their characteristics and outcomes were assessed. Agreement was compared between the 2 sets of triage criteria, recognizing differences in stated criteria aims. Results: Among 40 439 intensive care unit admissions of patients who received mechanical ventilation, the mean (SD) age was 62.6 (16.6) years, 54.9% were male, and the mean (SD) SOFA score was 4.5 (3.7). Using the New York State triage criteria, 8.9% (95% CI, 8.7%-9.2%) were in the lowest priority category; these lowest priority admissions had a mean (SD) age of 62.9 (16.6) years, used a median (interquartile range) of 57.3 (20.1-133.5) ventilator hours each, and had a hospital survival rate of 38.6% (95% CI, 37.0%-40.2%). Using the White and Lo triage criteria, 4.3% (95% CI, 4.1%-4.5%) were in the lowest priority category; these admissions had a mean (SD) age of 68.6 (13.2) years, used a median (interquartile range) of 61.7 (24.3-142.8) ventilator hours each, and had a hospital survival rate of 56.2% (95% CI, 53.8%-58.7%). Only 655 admissions (1.6%) were in the lowest priority category for both guidelines, with the κ statistic for agreement equal to 0.20 (95% CI, 0.18-0.21). Conclusions and Relevance: Use of 2 initially proposed ventilator triage guidelines identified approximately 1 in every 10 to 25 admissions as having the lowest priority for ventilator allocation, with little agreement. Clinical assessment of different potential criteria for triage decisions in critically ill populations is important to ensure valid and equitable allocation of resources.

New Opioid Use after Invasive Mechanical Ventilation and Hospital Discharge.

Rationale: Patients who receive invasive mechanical ventilation (IMV) are usually exposed to opioids as part of their sedation regimen. The rates of posthospital prescribing of opioids are unknown.Objectives: To determine the frequency of persistent posthospital opioid use among patients who received IMV.Methods: We assessed opioid-naive adults who were admitted to an ICU, received IMV, and survived at least 7 days after hospital discharge in Ontario, Canada over a 26-month period (February, 2013 through March, 2015). The primary outcome was new, persistent opioid use during the year after discharge. We assessed factors associated with persistent use by multivariable logistic regression. Patients receiving IMV were also compared with matched hospitalized patients who did not receive intensive care (non-ICU).Measurements and Main Results: Among 25,085 opioid-naive patients on IMV, 5,007 (20.0%; 95% confidence interval [CI], 19.5-20.5) filled a prescription for opioids in the 7 days after hospital discharge. During the next year, 648 (2.6%; 95% CI, 2.4-2.8) of the IMV cohort met criteria for new, persistent opioid use. The patient characteristic most strongly associated with persistent use in the IMV cohort was being a surgical (vs. medical) patient (adjusted odds ratio, 3.29; 95% CI, 2.72-3.97). The rate of persistent use was slightly higher than for matched non-ICU patients (2.6% vs. 1.5%; adjusted odds ratio, 1.37 [95% CI, 1.19-1.58]).Conclusions: A total of 20% of IMV patients received a prescription for opioids after hospital discharge, and 2.6% met criteria for persistent use, an average of 300 new persistent users per year in a population of 14 million. Receipt of surgery was the factor most strongly associated with persistent use.

Age and postoperative opioid prescriptions: a population-based cohort study of opioid-naïve adults.

PURPOSE: Opioids are commonly prescribed for acute pain after surgery. However, it is unclear whether these prescriptions are usually modified to account for patient age and, in particular, opioid-related risks among older adults. We therefore sought to describe postoperative opioid prescriptions filled by opioid-naïve adults undergoing four common surgical procedures. METHODS: This retrospective cohort study used individually linked surgery and prescription opioid dispensing data from Ontario, Canada to create a population-based sample of 135 659 opioid-naïve adults who underwent one of four surgical procedures (laparoscopic cholecystectomy, laparoscopic appendectomy, knee meniscectomy, or breast excision) between 2013 and 2017. Patient age, in years, was categorized as 18 to 64, 65 to 69, 70 to 74, and 75 and over. Postoperative opioid prescriptions were identified as those filled on or within 6 days of surgical discharge date. For those who filled a prescription, we assessed the total morphine milligram equivalent (MME) dose, types of opioids, and any subsequent opioid prescriptions filled within 30 days of surgical discharge date. Results were presented stratified by surgical procedure. RESULTS: For three of the four surgical procedures we assessed, the proportion of patients who filled a postoperative opioid prescription decreased with age (P < 0.001 for trend), and there was a small shift in the type of opioid (more codeine or tramadol and less oxycodone; P < 0.001 for trend). However, the total MME dose of the initial prescription(s) filled showed minimal age-related trends. CONCLUSIONS: The proportion of opioid-naïve patients filling postoperative opioid prescriptions decreases with age. However, postoperative opioid prescription dosage is not typically different in older adults.

Early experience with medical assistance in dying in Ontario, Canada: a cohort study.

BACKGROUND: Medical assistance in dying (MAiD) was legalized across Canada in June 2016. Some have expressed concern that patient requests for MAiD might be driven by poor access to palliative care and that social and economic vulnerability of patients may influence access to or receipt of MAiD. To examine these concerns, we describe Ontario's early experience with MAiD and compare MAiD decedents with the general population of decedents in Ontario. METHODS: We conducted a retrospective cohort study comparing all MAiD-related deaths with all deaths in Ontario, Canada, between June 7, 2016, and Oct. 31, 2018. Clinical and demographic characteristics were collected for all MAiD decedents and compared with those of all Ontario decedents when possible. We used logistic regression analyses to describe the association of demographic and clinical factors with receipt of MAiD. RESULTS: A total of 2241 patients (50.2% women) were included in the MAiD cohort, and 186 814 in the general Ontario decedent cohort. Recipients of MAiD reported both physical (99.5%) and psychologic suffering (96.4%) before the procedure. In 74.4% of cases, palliative care providers were involved in the patient's care at the time of the MAiD request. The statutory 10-day reflection period was shortened for 26.6% of people. Compared with all Ontario decedents, MAiD recipients were younger (mean 74.4 v. 77.0 yr, standardized difference 0.18);, more likely to be from a higher income quintile (24.9% v. 15.6%, standardized difference across quintiles 0.31); less likely to reside in an institution (6.3% v. 28.0%, standardized difference 0.6); more likely to be married (48.5% v. 40.6%) and less likely to be widowed (25.7% v. 35.8%, standardized difference 0.34); and more likely to have a cancer diagnosis (64.4% v. 27.6%, standardized difference 0.88 for diagnoses comparisons). INTERPRETATION: Recipients of MAiD were younger, had higher income, were substantially less likely to reside in an institution and were more likely to be married than decedents from the general population, suggesting that MAiD is unlikely to be driven by social or economic vulnerability. Given the high prevalence of physical and psychologic suffering, despite involvement of palliative care providers in caring for patients who request MAiD, future studies should aim to improve our understanding and treatment of the specific types of suffering that lead to a MAiD request.

End-of-Life Care Received by Physicians Compared With Nonphysicians.

Importance: The idea that physicians as patients choose less-aggressive care at the end of life for themselves is an often-cited rationale to advocate for less technology-laden end-of-life care. Objective: To assess end-of-life care received by physicians compared with nonphysicians in a system with universal health care. Design, Setting, and Participants: In this population-level decedent cohort study of data from April 1, 2004, through March 31, 2015 (fiscal years 2004-2014), in Ontario, Canada, 2507 physicians were matched approximately 1:3 to 7513 nonphysicians (ie, individuals who never were registered as a physician with the College of Physicians and Surgeons of Ontario) according to age, sex, income quintile, and location of residence. Main Outcomes and Measures: The primary outcome was location of death. Other outcomes included measures of health care use in the last 6 months of life. Differences were assessed using Poisson regression with robust error variances, adjusting for the Charlson Comorbidity Index. Results: In total, 2516 physicians and 954 836 nonphysicians died between April 1, 2004, and March 31, 2015, in Ontario; 2247 physicians (89.3%) and 474 182 nonphysicians (49.7%) were men. The median (interquartile range) age at death was 82 (74-87) years for the physicians and 80 (68-87) years for the nonphysicians. After matching, data for 2507 physicians and 7513 nonphysicians were analyzed. For physicians, the risk of death at home was no different from that for nonphysicians (42.8% vs 39.0%; adjusted relative risk [aRR], 1.04; 95% CI, 0.99-1.09), but the risk of death in an intensive care unit was increased (11.9% vs 10.0%; aRR, 1.22; 95% CI, 1.08-1.39). In the prior 6 months, physicians had a decreased risk of an emergency department visit (73.0% vs 78.4%; aRR, 0.96; 95% CI, 0.94-0.98) but increased risks of an intensive care unit admission (20.8% vs 19.1%; aRR, 1.14; 95% CI, 1.05-1.24) and of receipt of palliative care services (52.9% vs 47.4%; aRR, 1.18; 95% CI, 1.13-1.23). Among a subgroup of 457 physicians and 1347 nonphysicians with cancer, the risk of death at home or intensive care unit was increased (37.6% vs 28.6%; aRR, 1.30; 95% CI, 1.13-1.50), as was the risk of receiving chemotherapy in the last 6 months of life. Conclusions and Relevance: There was no difference overall for physicians compared with nonphysicians in terms of the likelihood of dying at home; physicians were more likely to die in an intensive care unit and to receive chemotherapy, but also to receive palliative care services. These findings suggest that physicians do not consistently opt for less-aggressive care but instead receive end-of-life care that includes both intensive and palliative care. These findings inform a more nuanced perspective of what physicians may perceive to be optimal care at the end of life.

Age-related trends in severe injury hospitalization in Canada.

BACKGROUND: We performed a population-based evaluation of age-related trends in severe injury hospitalization across Canada. METHODS: We identified hospitalizations following severe injury (Injury Severity Score [ISS] > 15) between 2002 and 2009 using the Canadian National Trauma Registry. Age-standardized severe injury hospitalization rates were calculated using the direct method referencing the 2006 Canadian population. The annual percent change in hospitalization rates were estimated using negative binomial regression. RESULTS: During the 8-year period, hospitalization rates for severe injury rose by 22% among individuals 65 years or older, compared with 10% among individuals younger than 65 years. Fall-related injuries accounted for 46% of all severe injury hospitalizations and increased by an average of 3% annually, with a twofold higher annual rate of increase among the elderly. Case-fatality rates declined by 10%, with the decline more than threefold higher among younger patients. CONCLUSION: Elderly patients accounted for an increasing proportion of hospitalizations, highlighting important opportunities for injury prevention among this age group. Case-fatality rates, while declining among younger patients, remained stable in the elderly population, suggesting the need for better strategies to manage the complex care needs of these patients. LEVEL OF EVIDENCE: Epidemiologic study, level III.