Medical marijuana access and prolonged opioid use among adolescents and young adults.

BACKGROUND AND OBJECTIVES: Laws liberalizing access to medical marijuana are associated with reduced opioid analgesic use among adults, but little is known about the impact of such policies on adolescents and young adults. METHODS: This retrospective cohort study used 2005 to 2014 claims from MarketScan® Commercial database, which covers all 50 states and Washington D.C. The sample included 195,204 adolescent and young adult patients (aged 12-25) who underwent one of 13 surgical procedures. RESULTS: Of the 195,204 patients, 4.8% had prolonged opioid use. Several factors were associated with a higher likelihood of prolonged opioid use, including being female (adjusted odds ratio [aOR], 1.27; 95% confidence interval [CI], 1.21-1.33), longer hospital stay (aOR, 1.04; 95% CI, 1.02-1.06), greater days of index opioid supply (8-14 days: aOR, 1.39, 95% CI, 1.33-1.45; greater than 14 days: aOR, 2.42, 95% CI, 2.26-2.59), rural residence (aOR, 1.07; 95% CI, 1.01-1.14), and cholecystectomy (aOR, 1.16; 95% CI, 1.08-1.25). There was not a significant association of medical marijuana dispensary laws on prolonged opioid use (aOR, 0.98; 95% CI, 0.81-1.18). CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Medical marijuana has been suggested as a substitute for opioids, but our results focusing on adolescents and young adults provide new evidence that this particularly vulnerable population does not exhibit reductions in prolonged use of opioids after surgery when they have legal access to medical marijuana. These findings are the first to demonstrate potentially important age differences in sustained use of opioids, and point to the need for prescriber oversight and management with this vulnerable population.

Racial and Ethnic Disparities in Access to Minimally Invasive Mitral Valve Surgery.

Importance: Whether people from racial and ethnic minority groups experience disparities in access to minimally invasive mitral valve surgery (MIMVS) is not known. Objective: To investigate racial and ethnic disparities in the utilization of MIMVS. Design, Setting, and Participants: This cross-sectional study used data from the Society of Thoracic Surgeons Database for patients who underwent mitral valve surgery between 2014 and 2019. Statistical analysis was performed from January 24 to August 11, 2022. Exposures: Patients were categorized as non-Hispanic White, non-Hispanic Black, and Hispanic individuals. Main Outcomes and Measures: The association between MIMVS (vs full sternotomy) and race and ethnicity were evaluated using logistic regression. Results: Among the 103 753 patients undergoing mitral valve surgery (mean [SD] age, 62 [13] years; 47 886 female individuals [46.2%]), 10 404 (10.0%) were non-Hispanic Black individuals, 89 013 (85.8%) were non-Hispanic White individuals, and 4336 (4.2%) were Hispanic individuals. Non-Hispanic Black individuals were more likely to have Medicaid insurance (odds ratio [OR], 2.21; 95% CI, 1.64-2.98; P < .001) and to receive care from a low-volume surgeon (OR, 4.45; 95% CI, 4.01-4.93; P < .001) compared with non-Hispanic White individuals. Non-Hispanic Black individuals were less likely to undergo MIMVS (OR, 0.65; 95% CI, 0.58-0.73; P < .001), whereas Hispanic individuals were not less likely to undergo MIMVS compared with non-Hispanic White individuals (OR, 1.08; 95% CI, 0.67-1.75; P = .74). Patients with commercial insurance had 2.35-fold higher odds of undergoing MIMVS (OR, 2.35; 95% CI, 2.06-2.68; P < .001) than those with Medicaid insurance. Patients operated by very-high volume surgeons (300 or more cases) had 20.7-fold higher odds (OR, 20.70; 95% CI, 12.7-33.9; P < .001) of undergoing MIMVS compared with patients treated by low-volume surgeons (less than 20 cases). After adjusting for patient risk, non-Hispanic Black individuals were still less likely to undergo MIMVS (adjusted OR [aOR], 0.88; 95% CI, 0.78-0.99; P = .04) and were more likely to die or experience a major complication (aOR, 1.25; 95% CI, 1.16-1.35; P < .001) compared with non-Hispanic White individuals. Conclusions and Relevance: In this cross-sectional study, non-Hispanic Black patients were less likely to undergo MIMVS and more likely to die or experience a major complication than non-Hispanic White patients. These findings suggest that efforts to reduce inequity in cardiovascular medicine may need to include increasing access to private insurance and high-volume surgeons.

Association Between the COVID-19 Pandemic and Insurance-Based Disparities in Mortality After Major Surgery Among US Adults.

Importance: The COVID-19 pandemic caused significant disruptions in surgical care. Whether these disruptions disproportionately impacted economically disadvantaged individuals is unknown. Objective: To evaluate the association between the COVID-19 pandemic and mortality after major surgery among patients with Medicaid insurance or without insurance compared with patients with commercial insurance. Design, Setting, and Participants: This cross-sectional study used data from the Vizient Clinical Database for patients who underwent major surgery at hospitals in the US between January 1, 2018, and May 31, 2020. Exposures: The hospital proportion of patients with COVID-19 during the first wave of COVID-19 cases between March 1 and May 31, 2020, stratified as low (≤5.0%), medium (5.1%-10.0%), high (10.1%-25.0%), and very high (>25.0%). Main Outcomes and Measures: The main outcome was inpatient mortality. The association between mortality after surgery and payer status as a function of the proportion of hospitalized patients with COVID-19 was evaluated with a quasi-experimental triple-difference approach using logistic regression. Results: Among 2 950 147 adults undergoing inpatient surgery (1 550 752 female [52.6%]) at 677 hospitals, the primary payer was Medicare (1 427 791 [48.4%]), followed by commercial insurance (1 000 068 [33.9%]), Medicaid (321 600 [10.9%]), other payer (140 959 [4.8%]), and no insurance (59 729 [2.0%]). Mortality rates increased more for patients undergoing surgery during the first wave of the pandemic in hospitals with a high COVID-19 burden (adjusted odds ratio [AOR], 1.13; 95% CI, 1.03-1.24; P = .01) and a very high COVID-19 burden (AOR, 1.38; 95% CI, 1.24-1.53; P < .001) compared with patients in hospitals with a low COVID-19 burden. Overall, patients with Medicaid had 29% higher odds of death (AOR, 1.29; 95% CI, 1.22-1.36; P < .001) and patients without insurance had 75% higher odds of death (AOR, 1.75; 95% CI, 1.55-1.98; P < .001) compared with patients with commercial insurance. However, mortality rates for surgical patients with Medicaid insurance (AOR, 1.03; 95% CI, 0.82-1.30; P = .79) or without insurance (AOR, 0.85; 95% CI, 0.47-1.54; P = .60) did not increase more than for patients with commercial insurance in hospitals with a high COVID-19 burden compared with hospitals with a low COVID-19 burden. These findings were similar in hospitals with very high COVID-19 burdens. Conclusions and Relevance: In this cross-sectional study, the first wave of the COVID-19 pandemic was associated with a higher risk of mortality after surgery in hospitals with more than 25.0% of patients with COVID-19. However, the pandemic was not associated with greater increases in mortality among patients with no insurance or patients with Medicaid compared with patients with commercial insurance in hospitals with a very high COVID-19 burden.

Association of Time Elapsed Since Ischemic Stroke With Risk of Recurrent Stroke in Older Patients Undergoing Elective Nonneurologic, Noncardiac Surgery.

Importance: Perioperative strokes are a major cause of death and disability. There is limited information on which to base decisions for how long to delay elective nonneurologic, noncardiac surgery in patients with a history of stroke. Objective: To examine whether an association exists between the time elapsed since an ischemic stroke and the risk of recurrent stroke in older patients undergoing elective nonneurologic, noncardiac surgery. Design, Setting, and Participants: This cohort study used data from the 100% Medicare Provider Analysis and Review files, including the Master Beneficiary Summary File, between 2011 and 2018 and included elective nonneurologic, noncardiac surgeries in patients 66 years or older. Patients were excluded if they had more than 1 procedure during a 30-day period, were transferred from another hospital or facility, were missing information on race and ethnicity, were admitted in December 2018, or had tracheostomies or gastrostomies. Data were analyzed May 7 to October 23, 2021. Exposures: Time interval between a previous hospital admission for acute ischemic stroke and surgery. Main Outcomes and Measures: Acute ischemic stroke during the index surgical admission or rehospitalization for stroke within 30 days of surgery, 30-day all-cause mortality, composite of stroke and mortality, and discharge to a nursing home or skilled nursing facility. Multivariable logistic regression models were used to estimate adjusted odds ratios (AORs) to quantify the association between outcome and time since ischemic stroke. Results: The final cohort included 5 841 539 patients who underwent elective nonneurologic, noncardiac surgeries (mean [SD] age, 74.1 [6.1] years; 3 371 329 [57.7%] women), of which 54 033 (0.9%) had a previous stroke. Patients with a stroke within 30 days before surgery had higher adjusted odds of perioperative stroke (AOR, 8.02; 95% CI, 6.37-10.10; P < .001) compared with patients without a previous stroke. The adjusted odds of stroke were not significantly different at an interval of 61 to 90 days between previous stroke and surgery (AOR, 5.01; 95% CI, 4.00-6.29; P < .001) compared with 181 to 360 days (AOR, 4.76; 95% CI, 4.26-5.32; P < .001). The adjusted odds of 30-day all-cause mortality were higher in patients who underwent surgery within 30 days of a previous stroke (AOR, 2.51; 95% CI, 1.99-3.16; P < .001) compared with those without a history of stroke, and the AOR decreased to 1.49 (95% CI, 1.15-1.92; P < .001) at 61 to 90 days from previous stroke to surgery but did not decline significantly, even after an interval of 360 or more days. Conclusions and Relevance: The findings of this cohort study suggest that, among patients undergoing nonneurologic, noncardiac surgery, the risk of stroke and death leveled off when more than 90 days elapsed between a previous stroke and elective surgery. These findings suggest that the recent scientific statement by the American Heart Association to delay elective nonneurologic, noncardiac surgery for at least 6 months after a recent stroke may be too conservative.

Association Between the COVID-19 Pandemic and Disparities in Access to Major Surgery in the US.

Importance: Racial minority groups account for 70% of excess deaths not related to COVID-19. Understanding the association of the Centers for Medicare & Medicaid Services' (CMS's) moratorium delaying nonessential operations with racial disparities will help shape future pandemic responses. Objective: To evaluate the association of the CMS's moratorium on elective operations during the first wave of the COVID-19 pandemic among Black individuals, Asian individuals, and individuals of other races compared with White individuals. Design, Setting, and Participants: This cross-sectional study assessed a 719-hospital retrospective cohort of 3 470 905 adult inpatient hospitalizations for major surgery between January 1, 2018, and October 31, 2020. Exposure: The first wave of COVID-19 infections between March 1, 2020, and May 31, 2020. Main Outcomes and Measures: The main outcome was the association between changes in monthly elective surgical case volumes and the first wave of COVID-19 infections as a function of patient race, evaluated using negative binomial regression analysis. Results: Among 3 470 905 adults (1 823 816 female [52.5%]) with inpatient hospitalizations for major surgery, 70 752 (2.0%) were Asian, 453 428 (13.1%) were Black, 2 696 929 (77.7%) were White, and 249 796 (7.2%) were individuals of other races. The number of monthly elective cases during the first wave was 49% (incident rate ratio [IRR], 0.49; 95% CI, 0.486-0.492; P < .001) compared with the baseline period. The relative reduction in unadjusted elective surgery cases for Black (unadjusted IRR, 0.99; 95% CI, 0.97-1.01; P = .36), Asian (unadjusted IRR, 1.08; 95% CI, 1.03-1.14; P = .001), and other race individuals (unadjusted IRR, 0.97; 95% CI, 0.95-1.00; P = .05) during the surge period compared with the baseline period was very close to the change in cases for White individuals. After adjustment for age, sex, comorbidities, and surgical procedure, there was still no evidence that the first wave of the pandemic was associated with disparities in access to elective surgery. Conclusions and Relevance: In this cross-sectional study, the CMS's moratorium on nonessential operations was associated with a 51% reduction in elective operations. It was not associated with greater reductions in operations for racial minority individuals than for White individuals. This evidence suggests that the early response to the pandemic did not increase disparities in access to surgical care.

Examining Regional Differences in Nursing Home Palliative Care for Black and Hispanic Residents.

Background: Approximately one-quarter of all deaths in the United States occur in nursing homes (NHs). Palliative care has the potential to improve NH end-of-life care, but more information is needed on the provision of palliative care in NHs serving Black and Hispanic residents. Objective: To determine whether palliative care services in United States NHs are associated with differences in the concentrations of Black and Hispanic residents, respectively, and the impact by region. Design: We conducted a cross-sectional analysis. The outcome was NH palliative care services (measured by an earlier national survey); total scores ranged from 0 to 100 (higher scores indicated more services). Other data included the Minimum Data Set and administrative data. The independent variables were concentration of Black and Hispanic residents (i.e., <3%, 3-10%, >10%), respectively, and models were stratified by region (i.e., Northeast, Midwest, South and West). We compared unadjusted, weighted mean palliative care services by the concentration of Black and Hispanic residents and computed NH-level multivariable linear regressions. Setting/Subjects: Eight hundred sixty-nine (weighted n = 15,020) NHs across the United States. Results: Multivariable analyses showed fewer palliative care services provided in NHs with greater concentrations of Black and Hispanic residents. Fewer palliative care services were reported in NHs in the Northeast, for which >10% of the resident population was Black, and NHs in the West for which >10% was Hispanic versus NHs with <3% of the population being Black and Hispanic (-13.7; p < 0.001 and -9.3; p < 0.05, respectively). Conclusion: We observed differences in NH palliative care by region and with greater concentration of Black and Hispanic residents. Our findings suggest that greater investment in NH palliative care services may be an important strategy to advance health equity in end-of-life care for Black and Hispanic residents.

Does Integration of Palliative Care and Infection Management Reduce Hospital Transfers among Nursing Home Residents?

Background: An estimated 50% of nursing home (NH) residents experience hospital transfers in their last year of life, often due to infections. Hospital transfers due to infection are often of little clinical benefit to residents with advanced illness, for whom aggressive treatments are often ineffective and inconsistent with goals of care. Integration of palliative care and infection management (i.e., merging the goals of palliative care and infection management at end of life) may reduce hospital transfers for residents with advanced illness. Objectives: Evaluate the association between integration and (1) all-cause hospital transfers and (2) hospital transfers due to infection. Design: Cross-sectional observational study. Setting/Subjects: 143,223 U.S. NH residents, including 42,761 residents in the advanced stages of dementia, congestive heart failure (CHF), and chronic obstructive pulmonary disease (COPD). Measurement: Cross-sectional, nationally representative NH survey data (2017-2018) were combined with resident data from the Minimum Data Set 3.0 and Medicare inpatient data (2016-2017). NH surveys measured integration of palliative care and infection management using an index of 0-100. Logistic regression models were used to estimate the relationships between integration intensity (i.e., the degree to which NHs follow best practices for integration) and all-cause hospital transfer and transfer due to infection. Results: Among residents with advanced dementia, integration intensity was inversely associated with all-cause hospital transfer and transfer due to infection (p < 0.001). Among residents with advanced COPD, integration intensity was inversely associated with all-cause hospital transfer (p < 0.05) but not transfers due to infection. Among residents with advanced CHF, integration intensity was not associated with either outcome. Conclusions: NH policies aimed to promote integration of palliative care and infection management may reduce burdensome hospital transfers for residents with advanced dementia. For residents with advanced CHF and COPD, alternative strategies may be needed to promote best practices for infection management at end of life.

Improving The Accuracy Of Hospital Quality Ratings By Focusing On The Association Between Volume And Outcome.

The Centers for Medicare and Medicaid Services (CMS) uses hierarchical modeling to stabilize its hospital quality star ratings by shrinking the performance of low-volume hospitals toward the performance of average hospitals. Responding to criticism that the methodology may distort the performance of low-volume hospitals, a CMS expert panel recommended that the agency consider using "shrinkage targets" to more accurately classify hospital quality performance. To test the "shrinkage targets" approach, we created two parallel sets of performance measures. We found that there was moderate-to-substantial agreement between the standard CMS approach and the approach based on shrinkage targets in hospital star ratings for all but the lowest-volume hospitals. These findings suggest that the standard CMS risk-adjustment methodology does not distort the star ratings of hospitals as long as case volumes exceed the current cutoff (twenty-five cases) used by CMS for public reporting.

Integration of Palliative Care and Infection Management at the End of Life in U.S. Nursing Homes.

CONTEXT: Infections in nursing home (NH) residents are often terminal illnesses. Integration of palliative care (PC) and infection management (IM) is a new concept that can help reduce burdensome treatments and improve quality of care for NH residents at the end of life. OBJECTIVES: To develop measures of integration, describe the integration in U.S. NHs, and examine predictors of integration. METHODS: A nationally representative sample of NHs was surveyed. An instrument to measure integration was tested using factor analyses. Descriptive analyses of each integration factor were conducted, construct validity was examined using correlations between the integration factors and validated measures of PC and IM, and multivariable linear regression models were developed to identify NH characteristics associated with integration. RESULTS: A total of 892 NH surveys were returned (49% response rate), 859 with complete data. Three integration factors were identified: patient involvement in care planning (Involvement), formalized advance care planning (Advance Care Planning), and routine practices of integration (Routine Practices). The highest level of integration in NHs was reported for Involvement (mean (µ) = 73.2, standard error [SE] = 1.57), with lower rates for Advance Care Planning and Routine Practices (respectively, µ = 34.1, SE = 1.05; µ = 31.4, SE = 1.48). Each integration measure was weakly, positively associated with the PC and IM measures (r ≤ 0.25, P ≤ 0.01). There were few associations between NH characteristics and integration. CONCLUSION: Integration is a distinct concept that is associated with, but different from, PC and IM. Results serve as a baseline assessment of integration in NHs. Continued refinement of the integration instrument is recommended, as is studying if higher integration leads to better resident outcomes.

Sexual minority disparities in opioid misuse, perceived heroin risk and heroin access among a national sample of US adults.

BACKGROUND: Lesbian, gay and bisexual (LGB) adults have elevated use of many substances compared to heterosexual adults, yet LGB disparities in specific types of opioid misuse and perceived opioid risk have not been fully characterized. METHODS: Data on 126,463 adults (including 8241 LGB adults) were from the 2015-2017 National Survey of Drug Use and Health. Logistic regression was used to estimate lesbian/gay (L/G) and bisexual disparities (relative to same-gender heterosexuals) for: lifetime prescription pain reliever misuse, heroin use and injection heroin use; past-year opioid misuse and opioid use disorder (OUD); and perceived risk of and access to heroin. RESULTS: All LGB subgroups had elevated lifetime pain reliever misuse rates relative to same-gender heterosexuals. Lifetime heroin use was elevated among LGB women and bisexual men; bisexual women had 4 times the odds of injection heroin use. LGB women and gay men had 1.4-2.4 times the odds of past-year opioid misuse; bisexual women had 2.5 times the odds of OUD. LGB women reported both lower perceived risk of trying heroin and greater perceived heroin access. CONCLUSIONS: Lifetime and past-year opioid misuse is elevated among LGB adults. Bisexual women are particularly at-risk, uniquely exhibiting disparities on high-risk injection use and OUD. Lower perceived risk of and greater access to heroin among LGB women may play a role in the onset or continuation of opioid misuse. Opioid misuse disparities among LGB adults are of substantial concern given the resultant elevated risk for fatal and non-fatal opioid overdose.

Variations in Physician Orders for Life-Sustaining Treatment Program across the Nation: Environmental Scan.

Background: Physician Orders for Life-Sustaining Treatment (POLST) is an advance care planning tool that is designed to document end-of-life (EoL) care wishes of those living with limited life expectancies. Although positive impacts of POLST program has been studied, variations in state-specific POLST programs across the nation remain unknown. Objective: Identify state variations in POLST forms and determine if variations are associated with program maturity status. Design: Environmental scan. Measurements: Using the national POLST website, state-specific POLST program characteristics were examined. With available sample POLST forms, EoL care options were abstracted. Results: Of all 51 states (50 United States states and Washington, D.C examined), the majority (n = 48, 98%) were actively participating in POLST; 3 states (5.9%) had Mature status, 19 states and District of Columbia (39.2%) were Endorsed, 24 states were in the developing phase (47.1%), and 4 states (7.8%) were nonconforming. Forty-five states (88.2%) had forms available for review. Antibiotic and intravenous fluid options were identified in 32 (71.1%), and 33 (73.3%) POLST forms, respectively. Hospital transfer and use of oxygen were mentioned in all forms. Use of respiratory devices (i.e., continuous positive airway pressure and bi-level positive airway pressure) were mentioned on 27 (60%) forms, whereas ventilator or intubation use were mentioned in 36 POLST forms (80%). No associations were found between POLST maturity status and provision of treatment options. Conclusions: Variations in integration of infection and symptom management options were identified. Further research is needed to determine if there are regional factors associated with provision of treatment options on POLST forms and if there are differences in actual rates of infection or symptoms reported.

Impact of the Choice of Risk Model for Identifying Low-risk Patients Using the 2014 American College of Cardiology/American Heart Association Perioperative Guidelines.

WHAT WE ALREADY KNOW ABOUT THIS TOPIC: WHAT THIS ARTICLE TELLS US THAT IS NEW: BACKGROUND:: The 2014 American College of Cardiology Perioperative Guideline recommends risk stratifying patients scheduled to undergo noncardiac surgery using either: (1) the Revised Cardiac Index; (2) the American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator; or (3) the Myocardial Infarction or Cardiac Arrest calculator. The aim of this study is to determine how often these three risk-prediction tools agree on the classification of patients as low risk (less than 1%) of major adverse cardiac event. METHODS: This is a retrospective observational study using a sample of 10,000 patient records. The risk of cardiac complications was calculated for the Revised Cardiac Index and the Myocardial Infarction or Cardiac Arrest models using published coefficients, and for the American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator using the publicly available website. The authors used the intraclass correlation coefficient and kappa analysis to quantify the degree of agreement between these three risk-prediction tools. RESULTS: There is good agreement between the American College of Surgeons National Surgical Quality Improvement Program and Myocardial Infarction or Cardiac Arrest estimates of major adverse cardiac events (intraclass correlation coefficient = 0.68, 95% CI: 0.66 to 0.70), while only poor agreement between (1) American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator and the Revised Cardiac Index (intraclass correlation coefficient = 0.37; 95% CI: 0.34 to 0.40), and (2) Myocardial Infarction or Cardiac Arrest and Revised Cardiac Index (intraclass correlation coefficient = 0.26; 95% CI: 0.23 to 0.30). The three prediction models disagreed 29% of the time on which patients were low risk. CONCLUSIONS: There is wide variability in the predicted risk of cardiac complications using different risk-prediction tools. Including more than one prediction tool in clinical guidelines could lead to differences in decision-making for some patients depending on which risk calculator is used.

Variability in Case Durations for Common Surgical Procedures.

BACKGROUND: Under the Merit-based Incentive Payment System, physician payment will be adjusted using a composite performance score that has 4 components, one of which is resource use. The objective of this exploratory study is to quantify the facility-level variation in surgical case duration for common surgeries to examine the feasibility of using surgical case duration as a performance metric. METHODS: We used data from the National Anesthesia Clinical Outcomes Registry on 404,987 adult patients undergoing one of 6 general surgical or orthopedic procedures: laparoscopic appendectomy, laparoscopic cholecystectomy, laparoscopic cholecystectomy with intraoperative cholangiogram, knee arthroscopy, laminectomy, and total hip replacement. We constructed separate mixed-effects multivariable time-to-event models (survival analysis) for each of the 6 procedures to model surgical case duration. RESULTS: We identified performance outliers, based on surgical case duration, using 2013 data and then quantified the gap between high- and low-performance outliers using 2014 data. After adjusting for patient risk, patients undergoing surgery at high-performance facilities were between 54% and 79% more likely to exit the operating room (OR) per unit time compared to average-performing facilities, depending on the procedure. For example, patients undergoing a laparoscopic appendectomy at high-performance facilities were 68% more likely to exit the OR per unit time (hazard ratio, 1.68; 95% CI, 1.40-2.02; P < .001) compared to average-performing facilities. Patients undergoing a laparoscopic appendectomy at low-performance facilities were 41% less likely to exit the OR per unit time (hazard ratio, 0.59; 95% CI, 0.47-0.74; P < .001) compared to average-performing facilities. The adjusted median surgical case duration for patients undergoing laparoscopic appendectomy was 69 minutes at high-performance centers and 92 minutes at low-performance centers. Similar results were obtained for the other procedures. CONCLUSIONS: There was wide variation in surgery case duration for patients undergoing common general surgical and orthopedic surgeries. This variability in care delivery may represent an important opportunity to promote more efficient use of health care resources.

Variation in the Use of Open Pyeloplasty, Minimally Invasive Pyeloplasty, and Endopyelotomy for the Treatment of Ureteropelvic Junction Obstruction in Adults.

BACKGROUND AND PURPOSE: Ureteropelvic junction obstruction is a common condition that can be treated with open pyeloplasty, minimally invasive pyeloplasty, and endopyelotomy. While all these treatments are effective, the extent to which they are used is unclear. We sought to examine the dissemination of these treatments. PATIENTS AND METHODS: Using the MarketScan® database, we identified adults 18 to 64 years old who underwent treatment for ureteropelvic junction obstruction between 2002 and 2010. Our primary outcome was ureteropelvic junction obstruction treatment (i.e., open pyeloplasty, minimally invasive pyeloplasty, endopyelotomy). We fit a multilevel multinomial logistic regression model accounting for patients nested within providers to examine several factors associated with treatment. RESULTS: Rates of minimally invasive pyeloplasty increased 10-fold, while rates of open pyeloplasty decreased by over 40%, and rates of endopyelotomy were relatively stable. Factors associated with receiving an open vs a minimally invasive pyeloplasty were largely similar. Compared with endopyelotomy, patients receiving minimally invasive pyeloplasty were less likely to be older (odds ratio [OR] 0.96; 95% confidence interval [CI], 0.95, 0.97) and live in the south (OR 0.52; 95% CI, 0.33, 0.81) and west regions (OR 0.57; 95% CI 0.33, 0.98) compared with the northeast and were more likely to live in metropolitan statistical areas (OR 1.52; 95% CI 1.08, 2.13). CONCLUSIONS: Over this 9-year period, the landscape of ureteropelvic junction obstruction treatment has changed dramatically. Further research is needed to understand why geographic factors were associated with receiving a minimally invasive pyeloplasty or an endopyelotomy.

Cost Analysis of Treatments for Ureteropelvic Junction Obstruction.

BACKGROUND AND PURPOSE: Ureteropelvic junction obstruction is a common urologic condition that accounts for approximately $12 million in inpatient spending annually. Few studies have assessed the costs related to treatment. We sought to examine the cost of care for patients treated for ureteropelvic junction obstruction. PATIENTS AND METHODS: We used the MarketScan® database to identify adults from 18 to 64 years old treated with minimally invasive pyeloplasty, open pyeloplasty, and endopyelotomy for ureteropelvic junction obstruction between 2002 and 2010. Our primary outcome was total expenditures related to the surgical episode, defined as the period from 30 days prior until 30 days after the index surgery. We fit a multinomial linear regression model to evaluate cost of the surgical episode, adjusting for age, gender, comorbidity, benefit plan type, and region of residence. RESULTS: We identified 1251 endopyelotomies, 717 open pyeloplasties, and 1048 minimally invasive pyeloplasties. The adjusted mean costs were $16,379 for endopyelotomy, $22,421 for open pyeloplasty, and $22,843 for minimally invasive pyeloplasty (p < 0.0001, ANCOVA). Both open and minimally invasive pyeloplasties were more costly than endopyelotomy (both p < 0.0001, comparison between groups). However, the cost of open and minimally invasive pyeloplasties was similar (p = 0.57, comparison between groups). CONCLUSIONS: Among the three treatments, endopyelotomy was the least expensive in the immediate perioperative period. Open and minimally invasive pyeloplasties were similar in cost, but both more expensive than endopyelotomies. The similar cost between the two pyeloplasty approaches provides additional evidence that minimally invasive pyeloplasty should be considered the standard treatment for ureteropelvic junction obstruction.

Quality of Quality Measurement: Impact of Risk Adjustment, Hospital Volume, and Hospital Performance.

BACKGROUND: The validity of basing healthcare reimbursement policy on pay-for-performance is grounded in the accuracy of performance measurement. METHODS: Monte Carlo simulation was used to examine the accuracy of performance profiling as a function of statistical methodology, case volume, and the extent to which hospital or physician performance deviates from the average. RESULTS: There is extensive variation in the true-positive rate and false discovery rate as a function of model specification, hospital quality, and hospital case volume. Hierarchical and nonhierarchical modeling are both highly accurate at very high case volumes for very low-quality hospitals. At equivalent case volumes and hospital effect sizes, the true-positive rate is higher for nonhierarchical modeling than for hierarchical modeling, but the false discovery rate is generally much lower for hierarchical modeling than for nonhierarchical modeling. At low hospital case volumes (200) that are typical for many procedures, and for hospitals with twice the rate of death or major complications for patients undergoing isolated coronary artery bypass graft surgery at the average hospital, hierarchical modeling missed 90.6% of low-quality hospitals, whereas nonhierarchical modeling missed 65.3%. However, at low case volumes, 38.9% of hospitals classified as low-quality outliers using nonhierarchical modeling were actually average quality, compared to 5.3% using hierarchical modeling. CONCLUSIONS: Nonhierarchical modeling frequently misclassified average-quality hospitals as low quality. Hierarchical modeling commonly misclassified low-quality hospitals as average. Assuming that the consequences of misclassifying an average-quality hospital as low quality outweigh the consequences of misclassifying a low-quality hospital as average, hierarchical modeling may be the better choice for quality measurement.

Questioning the 10-year Life Expectancy Rule for High-grade Prostate Cancer: Comparative Effectiveness of Aggressive vs Nonaggressive Treatment of High-grade Disease in Older Men With Differing Comorbid Disease Burdens.

OBJECTIVE: To determine if the 10-year rule should apply to men with high-grade, clincially localized prostate cancer, we characterized the survival benefits of aggressive (surgery, radiation, brachytherapy) over nonaggressive treatment (watchful waiting, active surveillance) among older men with differing comorbidity at diagnosis. METHODS: We sampled 44,521 men older than 65 with cT1-2, poorly differentiated prostate cancer diagnosed in 1991-2007 from the Surveillance, Epidemiology, and End Results-Medicare database. We used propensity-adjusted, competing-risks regression to calculate 5- and 10-year cancer mortality among those treated aggressively and nonaggressively across comorbidity subgroups. We determined 5- and 10-year absolute risk reduction in cancer mortality and numbers needed to treat to prevent one cancer death at 10 years. RESULTS: In propensity-adjusted, competing-risks regression analysis, aggressive treatment was associated with significantly lower risk of cancer mortality for those with Charlson scores of 0 (sub-hazard ratio (SHR) 0.43, 95% confidence interval [CI] 0.39-0.47), 1 (SHR 0.48, 95% CI 0.40-0.58), and 2 (SHR 0.46, 95% CI 0.34-0.62) but not 3+ (SHR 0.68, 95% CI 0.44-1.07). Absolute reductions in cancer mortality between those treated aggressively and nonaggressively were 7%, 5.5%, 6.9%, and 2.5% at 5 years, and 11.3%, 7.9%, 8.6%, and 2.8% at 10 years for men with Charlson scores of 0, 1, 2, and 3+ , respectively; numbers needed to treat to prevent 1 cancer death at 10 years were 9, 13, 12, and 36 men. CONCLUSION: The 10-year rule may not apply to men with high-grade, clinically localized disease. Older men with Charlson scores ≤2 should consider aggressive treatment of such disease due to its substantial short-term cancer survival benefits.

Outcomes are Worse in US Patients Undergoing Surgery on Weekends Compared With Weekdays.

BACKGROUND: Increasing surgical access to previously underserved populations in the United States may require a major expansion of the use of operating rooms on weekends to take advantage of unused capacity. Although the so-called weekend effect for surgery has been described in other countries, it is unknown whether US patients undergoing moderate-to-high risk surgery on weekends are more likely to experience worse outcomes than patients undergoing surgery on weekdays. OBJECTIVE: The aim of this study was to determine whether patients undergoing surgery on weekends are more likely to die or experience a major complication compared with patients undergoing surgery on a weekday. RESEARCH DESIGN: Using all-payer data, we conducted a retrospective cohort study of 305,853 patients undergoing isolated coronary artery bypass graft surgery, colorectal surgery, open repair of abdominal aortic aneurysm, endovascular repair of abdominal aortic aneurysm, and lower extremity revascularization. We compared in-hospital mortality and major complications for weekday versus weekend surgery using multivariable logistic regression analysis. RESULTS: After controlling for patient risk and surgery type, weekend elective surgery [adjusted odds ratio (AOR)=3.18; 95% confidence interval (CI), 2.26-4.49; P<0.001] and weekend urgent surgery (AOR=2.11; 95% CI, 1.68-2.66; P<0.001) were associated with a higher risk of death compared with weekday surgery. Weekend elective (AOR=1.58; 95% CI, 1.29-1.93; P<0.001) and weekend urgent surgery (AOR=1.61; 95% CI, 1.42-1.82; P<0.001) were also associated with a higher risk of major complications compared with weekday surgery. CONCLUSIONS: Patients undergoing nonemergent major cardiac and noncardiac surgery on the weekends have a clinically significantly increased risk of death and major complications compared with patients undergoing surgery on weekdays. These findings should prompt decision makers to seek to better understand factors, such physician and nurse staffing, which may contribute to the weekend effect.

Feasibility of Report Cards for Measuring Anesthesiologist Quality for Cardiac Surgery.

BACKGROUND: In creating the Merit-Based Incentive Payment System, Congress has mandated pay-for-performance (P4P) for all physicians, including anesthesiologists. There are currently no National Quality Forum-endorsed risk-adjusted outcome metrics for anesthesiologists to use as the basis for P4P. METHODS: Using clinical data from the New York State Cardiac Surgery Reporting System, we conducted a retrospective observational study of 55,436 patients undergoing cardiac surgery between 2009 and 2012. Hierarchical logistic regression modeling was used to examine the variation in in-hospital mortality or major complications (Q-wave myocardial infarction, renal failure, stroke, and respiratory failure) among anesthesiologists, controlling for patient demographics, severity of disease, comorbidities, and hospital quality. RESULTS: Although the variation in performance among anesthesiologists was statistically significant (P = 0.025), none of the anesthesiologists in the sample was classified as a high- or low-performance outliers. The contribution of anesthesiologists to outcomes represented 0.51% of the overall variability in patient outcomes (intraclass correlation coefficient [ICC] = 0.0051; 95% confidence interval [CI], 0.002-0.014), whereas the contribution of hospitals to patient outcomes was 2.90% (ICC = 0.029; 95% CI, 0.017-0.050). The anesthesiologist median odds ratio (MOR) was 1.13 (95% CI, 1.08-1.24), suggesting that the variation between anesthesiologist was modest, whereas the hospital MOR was 1.35 (95% CI, 1.25-1.48). In a separate analysis, the contribution of surgeons to overall outcomes represented 1.76% of the overall variability in patient outcomes (ICC = 0.018, 95% CI, 0.010-0.031), and the surgeon MOR was 1.26 (95% CI, 1.19-1.37). Twelve of the surgeons were identified as performance outliers. CONCLUSIONS: The impact of anesthesiologists on the total variability in cardiac surgical outcomes was probably about one-fourth as large as the surgeons' contribution. None of the anesthesiologists caring for cardiac surgical patients in New York State over a 3+ year period were identified as performance outliers. The use of a performance metric based on death or major complications for P4P may not be feasible for cardiac anesthesiologists.

Impact of Risk Adjustment for Socioeconomic Status on Risk-adjusted Surgical Readmission Rates.

OBJECTIVE: To assess whether differences in readmission rates between safety-net hospitals (SNH) and non-SNHs are due to differences in hospital quality, and to compare the results of hospital profiling with and without SES adjustment. BACKGROUND: In response to concerns that quality measures unfairly penalizes SNH, NQF recently recommended that performance measures adjust for socioeconomic status (SES) when SES is a risk factor for poor patient outcomes. METHODS: Multivariate regression was used to examine the association between SNH status and 30-day readmission after major surgery. The results of hospital profiling with and without SES adjustment were compared using the CMS Hospital Compare and the Hospital Readmissions Reduction Program (HRRP) methodologies. RESULTS: Adjusting for patient risk and SES, patients admitted to SNHs were not more likely to be readmitted compared with patients in in non-SNHs (AOR 1.08; 95% CI:0.95-1.23; P = 0.23). The results of hospital profiling based on Hospital Compare were nearly identical with and without SES adjustment (ICC 0.99, κ 0.96). Using the HRRP threshold approach, 61% of SNHs were assigned to the penalty group versus 50% of non-SNHs. After adjusting for SES, 51% of SNHs were assigned to the penalty group. CONCLUSIONS: Differences in surgery readmissions between SNHs and non-SNHs are due to differences in the patient case mix of low-SES patients, and not due to differences in quality. Adjusting readmission measures for SES leads to changes in hospital ranking using the HRRP threshold approach, but not using the CMS Hospital Compare methodology. CMS should consider either adjusting for the effects of SES when calculating readmission thresholds for HRRP, or replace it with the approach used in Hospital Compare.