Trends in new and persistent opioid use in older adults with and without cancer.

BACKGROUND: The impact of ongoing efforts to decrease opioid use on patients with cancer remains undefined. Our objective was to determine trends in new and additional opioid use in patients with and without cancer. METHODS: This retrospective cohort study used data from Surveillance, Epidemiology, and End Results program-Medicare for opioid-naive patients with solid tumor malignancies diagnosed from 2012 through 2017 and a random sample of patients without cancer. We identified 238 470 eligible patients with cancer and further focused on 4 clinical strata: patients without cancer, patients with metastatic cancer, patients with nonmetastatic cancer treated with surgery alone ("surgery alone"), and patients with nonmetastatic cancer treated with surgery plus chemotherapy or radiation therapy ("surgery+"). We identified new, early additional, and long-term additional opioid use and calculated the change in predicted probability of these outcomes from 2012 to 2017. RESULTS: New opioid use was higher in patients with cancer (46.4%) than in those without (6.9%) (P < .001). From 2012 to 2017, the predicted probability of new opioid use was more stable in the cancer strata (relative declines: 0.1% surgery alone; 2.4% surgery+; 8.8% metastatic cancer), than in the noncancer stratum (20.0%) (P < .001 for each cancer to noncancer comparison). Early additional use declined among surgery patients (‒14.9% and ‒17.5% for surgery alone and surgery+, respectively) but was stable among patients with metastatic disease (‒2.8%, P = .50). CONCLUSIONS: Opioid prescribing declined over time at a slower rate in patients with cancer than in patients without cancer. Our study suggests important but tempered effects of the changing opioid climate on patients with cancer.

Uptake of Biosimilar Among Privately Insured Patients Undergoing Infliximab Treatment.

BACKGROUND: Recent literature has found rapid uptake of short-acting filgrastim biosimilars but slower uptake of other biosimilars, such as infliximab, in both Medicare and privately insured enrollees. OBJECTIVES: To describe patient, provider, and health plan characteristics associated with a switch to biosimilar among existing infliximab patients. RESEARCH DESIGN: We constructed a retrospective panel dataset of patients undergoing active infliximab treatments and the choice of infliximab drug for each infusion. We used mixed logit regression controlling for patient, provider, and health plan characteristics as well as time-fixed effects. SUBJECTS: Medicare Advantage and privately insured enrollees with evidence of active infliximab treatments between 2016 and 2020 (n=357,430). MEASURES: Our primary outcome of interest was to switch from infliximab originator to one of the infliximab biosimilars. Exposure variables of interest variables such as out-of-pocket, site of care, and in-network deductible. RESULTS: Our study found nominally low switching among existing infliximab originator users (3.4%). We found that patients who previously received 1 infliximab originator infusion were 63.7% more likely to switch to biosimilar compared with patients who previously received administration of 20 infliximab originators. We found that biosimilar's placement as health's plan preferred drug was attributed to higher likelihood of biosimilar use (odds ratio: 1.666; P -value=0.001). We did not observe any statistically significant effect among out-of-pocket amount or deductible with respect to switch to infliximab biosimilar. CONCLUSIONS: To encourage uptake and switch to biosimilar, policymakers should consider targeted policies that include leveraging health plan tools such as placement of biosimilar as preferred drug and aim to educate patients on the clinical equivalence between infliximab biosimilar and originator.

Longitudinal Patterns in Testosterone Prescribing After US FDA Safety Communication in 2014.

BACKGROUND: The objective of this study was to describe changes in testosterone prescribing following a 2014 US Food and Drug Administration (FDA) safety communication and how changes varied by physician characteristics. METHODS: Data were extracted from a 20% random sample of Medicare fee-for-service administrative claims data from 2011 through 2019. The sample included 1,544,604 unique male beneficiaries who received evaluation and management (E&M) services from 58,819 unique physicians that prescribed testosterone between 2011 and 2013. Patients were categorized based on presence of coronary artery disease (CAD) and non-age-related hypogonadism. Physician characteristics were identified in the OneKey database and included specialty and affiliations with teaching hospitals, for-profit hospitals, hospitals in integrated delivery networks, and hospitals in the top decile of case mix index. Linear segmented models described how testosterone prescriptions changed following a 2014 FDA safety communication and how changes were associated with physician and organizational characteristics. RESULTS: Among 65,089,560 physician-patient-quarter-year observations, mean (standard deviation) age ranged from 72.16 (5.84) years for observations without CAD or non-age-related hypogonadism to 75.73 (6.92) years with CAD and without non-age-related hypogonadism. Following the safety communication, immediate changes in off-label testosterone prescription levels fell by 0.22 percentage points (pp) (95% confidence interval [CI] -0.33 to -0.11) for patients with CAD and by -0.16 pp (95% CI -0.19 to -0.16) for patients without CAD. A similar change was noticed in on-label prescribing levels. Off-label testosterone prescription quarterly trend, however, increased for patients with CAD and without CAD; on-label testosterone prescription trends declined for both groups. Declines in off-label prescribing were larger when treated by primary care physicians vs. non-primary care physicians, and physicians affiliated with teaching compared to nonteaching hospitals. Physician and organizational characteristics were not associated with changes in on-label prescribing. CONCLUSION: On-label and off-label testosterone therapy declined following the FDA safety communication. Certain physician characteristics were associated with changes in off-label, but not on-label, prescribing.

Comparison of emergency department throughput and process times between male and female patients: A retrospective cohort investigation by the Reducing Disparities Increasing Equity in Emergency Medicine Study Group.

Introduction: Health equity for all patients is an important characteristic of an effective healthcare system. Bias has the potential to create inequities. In this study, we examine emergency department (ED) throughput and care measures for sex-based differences, including metrics such as door-to-room (DTR) and door-to-healthcare practitioner (DTP) times to look for potential signs of systemic bias. Methods: We conducted an observational cohort study of all adult patients presenting to the ED between July 2015 and June 2017. We collected ED operational, throughput, clinical, and demographic data. Differences in the findings for male and female patients were assessed using Poisson regression and generalized estimating equations (GEEs). A priori, a clinically significant time difference was defined as 10 min. Results: A total of 106,011 adult visits to the ED were investigated. Female patients had 8-min longer median length-of-stay (LOS) than males (P < 0.01). Females had longer DTR (2-min median difference, P < 0.01), and longer DTP (5-min median difference, P < 0.01). Females had longer median door-to-over-the-counter analgesia time (84 vs. 80, P = 0.58), door-to-advanced analgesia (95 vs. 84, P < 0.01), door-to-PO (by mouth) ondansetron (70 vs. 62, P = 0.02), and door-to-intramuscular/intravenous antiemetic (76 vs. 69, P = 0.02) times compared with males. Conclusion: Numerous statistically significant differences were identified in throughput and care measures-mostly these differences favored male patients. Few of these comparisons met our criteria for clinical significance.

Association of 3 CDC opioid prescription guidelines for chronic pain and 2 payer pharmacy coverage changes on opioid initiation practices.

BACKGROUND: Due to the US opioid epidemic, in March of 2016, the Centers for Disease Control and Prevention (CDC) published new guidelines for primary care providers on opioid prescribing for chronic pain. Payer coverage changes were also implemented to help modify opioid prescribing behavior. Whether these initiatives were associated with changes in opioid initiation patterns is unknown. OBJECTIVE: To assess the association between 3 of the 2016 CDC guidelines and 2 subsequent payer pharmacy coverage changes with changes in opioid initiation behavior across different provider specialties. METHODS: We conducted a real-world evidence study using claims data from OptumLabs Data Warehouse between January of 2014 and December of 2018. Subjects were continuously enrolled opioid naive patients, aged at least 18 years, who had at least 1 chronic pain diagnosis within 2 weeks before their first (first-time) opioid prescription. The study used multiple treatment period segmented regression analysis to evaluate the association, across different provider specialties, between the CDC guideline release and the payer pharmacy coverage changes with immediate change in level and overall change in the rate of first-time extended-release opioid prescriptions, firsttime opioid prescriptions at doses of at least 50 MME (morphine milligram equivalent) per day, and first-time opioid prescriptions with overlapping benzodiazepine prescription. RESULTS: The CDC guidelines were not associated with any change in the rate of first-time prescriptions of extended-release opioids. However, a January 2017 payer pharmacy coverage change was associated with a reduction over time in first-time extended-release opioid prescription rates by 22.15 in every 100,000 prescriptions (CI = -40.04 to -2.92, P = 0.013). The CDC guidelines were associated with an immediate decline in level of first-time opioid prescription at doses of at least 50 MME per day by 74.00 in every 10,000 prescriptions (CI = -124.86 to -23.13, P = 0.004) and an increased rate of decline over time by 13.64 in every 10,000 prescriptions (CI = -17.07 to -10.21, P < 0.001). These associations varied across provider types and specialties. The March 2018, payer coverage change was associated with an immediate reduction in level of first-time opioid prescriptions at doses of at least 50 MME per day across all specialties and an increased reduction over time among surgeons. The CDC guidelines were associated, respectively, with a reduction in the rate of overlapping first-time opioid prescriptions with benzodiazepines among family medicine, internal medicine, surgeons, emergency medicine providers, and providers with unknown specialty by 6.11, 5.10, 2.89, 11.43, and 9.11 in every 10,000 prescriptions monthly (CI = -9.48 to -2.73, -9.86 to -0.35, -5.40 to -0.38, -17.26 to -5.61 and -11.96 to -6.25, respectively, P < 0.001, P = 0.035, P = 0.024, P < 0.001 and P < 0.001). CONCLUSIONS: Some specialist providers also adopted the CDC guidelines, and the response to the guidelines differed across various provider specialties. Some CDC guidelines were associated with a reduction in high-risk first-time opioid prescriptions. Payer pharmacy coverage changes reinforced the guidelines both in situations where the CDC guidelines did and did not show any association. DISCLOSURE: This research was funded by Agency for Healthcare Research and Quality (R01 HS025164; PI: Karaca-Mandic). Karaca-Mandic reports grants from the American Cancer Society and Sempre Health, along with fees from Tactile Medical and Precision Health Economics, unrelated to this study. The other authors have nothing to disclose.

Do all outpatient spine surgeries cost the same? Comparison of economic outcomes data from a state-level database for outpatient lumbar decompression performed in an ambulatory surgery center or hospital outpatient setting.

OBJECTIVE: Spinal procedures are increasingly conducted as outpatient procedures, with a growing proportion conducted in ambulatory surgery centers (ASCs). To date, studies reporting outcomes and cost analyses for outpatient spinal procedures in the US have not distinguished the various outpatient settings from each other. In this study, the authors used a state-level administrative database to compare rates of overnight stays and nonroutine discharges as well as index admission charges and cumulative 7-, 30-, and 90-day charges for patients undergoing outpatient lumbar decompression in freestanding ASCs and hospital outpatient (HO) settings. METHODS: For this project, the authors used the Florida State Ambulatory Surgery Database (SASD), offered by the Healthcare Cost and Utilization Project (HCUP), for the years 2013 and 2014. Patients undergoing outpatient lumbar decompression for degenerative diseases were identified using CPT (Current Procedural Terminology) and ICD-9 codes. Outcomes of interest included rates of overnight stays, rate of nonroutine discharges, index admission charges, and subsequent admission cumulative charges at 7, 30, and 90 days. Multivariable analysis was performed to assess the impact of outpatient type on index admission charges. Marginal effect analysis was employed to study the difference in predicted dollar margins between ASCs and HOs for each insurance type. RESULTS: A total of 25,486 patients were identified; of these, 7067 patients (27.7%) underwent lumbar decompression in a freestanding ASC and 18,419 (72.3%) in an HO. No patient in the ASC group required an overnight stay compared to 9.2% (n = 1691) in the HO group (p < 0.001). No clinically significant difference in the rate of nonroutine discharge was observed between the two groups. The mean index admission charge for the ASC group was found to be significantly higher than that for the HO group ($35,017.28 ± $14,335.60 vs $33,881.50 ± $15,023.70; p < 0.001). Patients in ASCs were also found to have higher mean 7-day (p < 0.001), 30-day (p < 0.001), and 90-day (p = 0.001) readmission charges. ASC procedures were associated with increased charges compared to HO procedures for patients on Medicare or Medicaid (mean index admission charge increase $4049.27, 95% CI $2577.87-$5520.67, p < 0.001) and for patients on private insurance ($4775.72, 95% CI $4171.06-$5380.38, p < 0.001). For patients on self-pay or no charge, a lumbar decompression procedure at an ASC was associated with a decrease in index admission charge of -$10,995.38 (95% CI -$12124.76 to -$9866.01, p < 0.001) compared to a lumbar decompression procedure at an HO. CONCLUSIONS: These "real-world" results from an all-payer statewide database indicate that for outpatient spine surgery, ASCs may be associated with higher index admission and subsequent 7-, 30-, and 90-day charges. Given that ASCs are touted to have lower overall costs for patients and better profit margins for physicians, these analyses warrant further investigation into whether this cost benefit is applicable to outpatient spine procedures.

Adherence to Asthma Biologics: Implications for Patient Selection, Step Therapy, and Outcomes.

BACKGROUND: Little is known about adherence to asthma biologics. RESEARCH QUESTION: Is adherence to inhaled corticosteroid (ICS) associated with subsequent asthma biologic adherence? STUDY DESIGN AND METHODS: We analyzed individuals with asthma who started asthma biologics in the OptumLab Data Warehouse and used that data until October 2019. We calculated proportion days covered (PDC) for ICS ± long-acting ß-agonists in the 6 months before and after asthma biologics were started and asthma biologic PDC for the first 6 months of use. We performed a multivariable analysis to identify factors associated with asthma biologic PDC ≥0.75, ICS PDC ≥0.75 during the 6-month period after asthma biologic were started, and achievement of a ≥50% reduction in asthma exacerbations during the first 6 months of asthma biologic use. RESULTS: We identified 5,319 people who started asthma biologics. The mean PDC for asthma biologics was 0.76 (95% CI, 0.75-0.77) in the first 6 months after starting, higher than the mean PDCs for ICS in the 6 months before (0.44 [95% CI, 0.43-0.45]) and after (0.40 [95% CI, 0.39-0.40]) starting the asthma biologic. PDC ≥0.75 for ICS 6 months before index biologic use is associated with PDC for asthma biologics ≥0.75 (OR, 1.25; 95% CI, 1.10-1.43) and for ICS during the first 6 months of biologic use (OR, 9.93; 95% CI, 8.55-11.53). Neither ICS PDC ≥0.75 (OR, 0.92; 95% CI, 0.74-1.14) nor asthma biologic PDC ≥0.75 (OR, 1.15; 95% CI, 0.97-1.36) is associated with a statistically significant reduction in asthma exacerbations during the first 6 months of asthma biologic use among people with any exacerbation in the 6 months before first use. INTERPRETATION: Adherence to asthma biologic is higher than to ICS and is associated with different factors.

Trends in Emergency Department Visits and Hospital Admissions in Health Care Systems in 5 States in the First Months of the COVID-19 Pandemic in the US.

Importance: As coronavirus disease 2019 (COVID-19) spread throughout the US in the early months of 2020, acute care delivery changed to accommodate an influx of patients with a highly contagious infection about which little was known. Objective: To examine trends in emergency department (ED) visits and visits that led to hospitalizations covering a 4-month period leading up to and during the COVID-19 outbreak in the US. Design, Setting, and Participants: This retrospective, observational, cross-sectional study of 24 EDs in 5 large health care systems in Colorado (n = 4), Connecticut (n = 5), Massachusetts (n = 5), New York (n = 5), and North Carolina (n = 5) examined daily ED visit and hospital admission rates from January 1 to April 30, 2020, in relation to national and the 5 states' COVID-19 case counts. Exposures: Time (day) as a continuous variable. Main Outcomes and Measures: Daily counts of ED visits, hospital admissions, and COVID-19 cases. Results: A total of 24 EDs were studied. The annual ED volume before the COVID-19 pandemic ranged from 13 000 to 115 000 visits per year; the decrease in ED visits ranged from 41.5% in Colorado to 63.5% in New York. The weeks with the most rapid rates of decrease in visits were in March 2020, which corresponded with national public health messaging about COVID-19. Hospital admission rates from the ED were stable until new COVID-19 case rates began to increase locally; the largest relative increase in admission rates was 149.0% in New York, followed by 51.7% in Massachusetts, 36.2% in Connecticut, 29.4% in Colorado, and 22.0% in North Carolina. Conclusions and Relevance: From January through April 2020, as the COVID-19 pandemic intensified in the US, temporal associations were observed with a decrease in ED visits and an increase in hospital admission rates in 5 health care systems in 5 states. These findings suggest that practitioners and public health officials should emphasize the importance of visiting the ED during the COVID-19 pandemic for serious symptoms, illnesses, and injuries that cannot be managed in other settings.

Patient Length of Stay Under the Two-Midnight Rule: Assessing the Accuracy of Providers' Predictions.

EXECUTIVE SUMMARY: We sought to determine emergency medicine physicians' accuracy in designating patients' disposition status as "inpatient" or "observation" at the time of hospital admission in the context of Medicare's Two-Midnight rule and to identify characteristics that may improve the providers' predictions. We conducted a 90-day observational study of emergency department (ED) admissions involving adults aged 65 years and older and assessed the accuracy of physicians' disposition decisions. Logistic regression models were fit to explore associations and predictors of disposition. A total of 2,257 patients 65 and older were admitted through the ED. The overall error rate in physician designation of observation or inpatient was 36%. Diagnoses most strongly associated with stays lasting less than two midnights included diverticulitis, syncope, and nonspecific chest pain. Diagnoses most strongly associated with stays lasting two or more midnights included orthopedic fractures, biliary tract disease, and back pain. ED physicians inaccurately predicted patient length of stay in more than one third of all patients. Under the Two-Midnight rule, these inaccurate predictions place hospitals at risk of underpayment and patients at risk of significant financial liability. Further work is needed to increase providers' awareness of the financial repercussions of their admission designations and to identify interventions that can improve prediction accuracy.

Trends and Disparities in Asthma Biologic Use in the United States.

BACKGROUND: From 2003 to 2015, only 1 biologic was approved for the treatment of moderate to severe asthma in the United States. Since 2015, 4 new asthma biologics were approved by the US Food and Drug Administration. OBJECTIVE: To describe trends and disparities of asthma biologic use in the United States from 2003 to 2018. METHODS: We conducted a retrospective analysis using a cohort developed from the OptumLabs Data Warehouse. Prevalent and incident asthma biologic users were identified, and characteristics of users and nonusers were analyzed using regression analysis. Clinician prescribing behavior was described. RESULTS: Use of biologic medications remains uncommon among individuals with asthma, with prevalence peaking in 2006 at 3 in 1000 individuals with asthma. Several factors are associated with a higher likelihood of asthma biologic use: middle age, higher income, commercial insurance, and access to a specialist. Most clinicians (65%) in the cohort prescribed only 1 biologic. CONCLUSIONS: We report low overall use of asthma biologics and evidence of disparities in access to asthma biologics.

Response to Propoxyphene Market Withdrawal: Analgesic Substitutes, Doses, and Adverse Events.

OBJECTIVE: Experts cautioned that patients affected by the November 2010 withdrawal of the opioid analgesic propoxyphene might receive riskier prescriptions. To explore this, we compared drug receipts and outcomes among propoxyphene users before and aftermarket withdrawal. STUDY DESIGN: Using OptumLabs data, we studied 3 populations: commercial, Medicare Advantage (MA) aged (age 65+ y) and MA disabled (age below 65 y) enrollees. The exposed enrollees received propoxyphene in the 3 months before market withdrawal (n=13,622); historical controls (unexposed) received propoxyphene 1 year earlier (n=9971). Regression models estimated daily milligrams morphine equivalent (MME), daily prescription acetaminophen dose, potentially toxic acetaminophen doses, nonopioid prescription analgesics receipt, emergency room visits, and diagnosed falls, motor vehicle accidents, and hip fractures. PRINCIPAL FINDINGS: Aged MA enrollees illustrate the experience of all 3 populations examined. Following the market withdrawal, propoxyphene users in the exposed cohort experienced an abrupt decline of 69% in average daily MME, compared with a 14% decline in the unexposed. Opioids were discontinued by 34% of the exposed cohort and 18% of the unexposed. Tramadol and hydrocodone were the most common opioids substituted for propoxyphene. The proportion of each group receiving ≥4 g of prescription acetaminophen per day decreased from 12% to 2% in the exposed group but increased from 6% to 8% among the unexposed. Adverse events were rare and not significantly different in exposed versus unexposed groups. CONCLUSIONS: After propoxyphene market withdrawal, many individuals experienced abrupt discontinuation of opioids. Policymakers might consider supporting appropriate treatment transitions and monitoring responses following drug withdrawals.

Validation of the Elderly Risk Assessment Index in the Emergency Department.

OBJECTIVES: The Elderly Risk Assessment (ERA) score is a validated index for primary care patients that predict hospitalizations, mortality, and Emergency Department (ED) visits. The score incorporates age, prior hospital days, marital status, and comorbidities. Our aim was to validate the ERA score in ED patients. METHODS: Observational cohort study of patients age ≥ 60 presenting to an academic ED over a 1-year period. Regression analyses were performed for associations with outcomes (hospitalization, return visits and death). Medians, interquartile range (IQR), odds ratios (OR) and 95% confidence intervals (CI) were calculated. RESULTS: The cohort included 27,397 visits among 18,607 patients. Median age 74 years (66-82), 48% were female and 59% were married. Patients from 54% of visits were admitted to the hospital, 16% returned to the ED within 30 days, and 18% died within one year. Higher ERA scores were associated with: hospital admission (score 10 [4-16] vs 5 [1-11], p < 0.0001), return visits (11 [5-17] vs 7 [2-13], p < 0.0001); and death within one year (14 [7-20] vs 6 [2-13], p < 0.0001). Patients with ERA score ≥ 16 were more likely to be admitted to the hospital, OR 2.14 (2.02-2.28, p < 0.0001), return within 30 days OR 1.99 (1.85-2.14), and to die within a year, OR 2.69 (2.54-2.85). CONCLUSION: The ERA score can be automatically calculated within the electronic health record and helps identify patients at increased risk of death, hospitalization and return ED visits. The ERA score can be applied to ED patients, and may help prognosticate the need for advanced care planning.

Pediatric emergency medical services in privately insured patients: A 10-year national claims analysis.

OBJECTIVE: To characterize pediatric Emergency Medicine Service (EMS) transports to the Emergency Department (ED) using a national claims database. METHODS: We included children, 18 years and younger, transported by EMS to an ED, from 2007 to 2016 in the OptumLabs Data Warehouse. ICD-9 and ICD-10 diagnosis codes were used to categorize disease system involvement. Interventions performed were extracted using procedure codes. ED visit severity was measured by the Minnesota Algorithm. RESULTS: Over a 10-year period, 239,243 children were transported. Trauma was the most frequent diagnosis category for transport for children ≥5 years of age, 35.1% (age 6-13) and 32.7% (age 14-18). The most common diagnosis category in children <6 years of age was neurologic (29.3%), followed by respiratory (23.1%). Over 10 years, transports for mental disorders represented 15.3% in children age 14 to 18, and had the greatest absolute increase (rate difference + 10.4 per 10,000) across all diagnoses categories. Neurologic transports also significantly increased in children age 14 to 18 (rate difference + 6.9 per 10,000). Trauma rates decreased across all age groups and had its greatest reduction among children age 14 to 18 (rate difference - 6.8 per 10,000). Across all age groups, an intervention was performed in 15.6%. Most children (83.3%) were deemed to have ED care needed type of visit, and 15.8% of the transports resulted in a hospital admission. CONCLUSION: Trauma is the most frequent diagnosis for transport in children older than 5 years of age. Mental health and neurologic transports have markedly increased, while trauma transports have decreased. Most children arriving by ambulance were classified as requiring ED level of care. These changes might have significant implication for EMS personnel and policy makers.

Risk Factors Associated With Health Care Utilization and Costs of Patients Undergoing Lower Extremity Joint Replacement.

BACKGROUND: The Comprehensive Care for Joint Replacement program implemented by the Centers for Medicare and Medicaid Services did not incorporate risk adjustment for lower extremity joint replacement (LEJR). Lack of adjustment places hospitals at financial risk and creates incentives for adverse patient selection. OBJECTIVE: To identify patient-level risk factors associated with health care utilization and costs of patients undergoing LEJR. METHODS: A comprehensive search of research databases from January 1, 1990, through January 31, 2016, was conducted. The databases included Ovid MEDLINE In-Process & Other Non-Indexed Citations, Ovid MEDLINE, Ovid EMBASE, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, and SCOPUS and is reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. The search identified 2020 studies. Eligible studies focused on primary unilateral and bilateral LEJR. Independent reviewers determined study eligibility and extracted utilization and cost data. RESULTS: Seventy-nine of 330 studies (24%) were included and were abstracted for analysis. Comorbidities, age, disease severity, and obesity were associated with increased costs. Increased number of comorbidities and age, presence of specific comorbidities, lower socioeconomic status, and female sex had evidence of increased length of stay. We found no significant association between indication for surgery and the likelihood of readmission. CONCLUSION: Developing a risk adjustment model for LEJR that incorporates clinical variables may serve to reduce the likelihood of adverse patient selection and enhance appropriate reimbursement aligned with procedural complexity.

Hospital Readmissions among Commercially Insured and Medicare Advantage Beneficiaries with Diabetes and the Impact of Severe Hypoglycemic and Hyperglycemic Events.

BACKGROUND: Hospital readmission is common among patients with diabetes. Some readmissions, particularly for hypoglycemia and hyperglycemia, may be avoidable with better care transitions and post-discharge management. OBJECTIVE: To ascertain the most common reasons and risk factors for readmission among adults with diabetes, with specific consideration of severe dysglycemia. DESIGN: Retrospective analysis of data from the OptumLabs Data Warehouse, an administrative data set of commercially insured and Medicare Advantage beneficiaries across the U.S. PARTICIPANTS: Adults ≥18 years of age with diabetes, discharged from a hospital between January 1, 2009, and December 31, 2014 (N = 342,186). MAIN MEASURES: Principal diagnoses and risk factors for 30-day unplanned readmissions, subset as being for severe dysglycemia vs. all other causes. KEY RESULTS: We analyzed 594,146 index hospitalizations among adults with diabetes: mean age 68.2 years (SD, 13.0), 52.9% female, and 67.8% white. The all-cause 30-day readmission rate was 10.8%. Heart failure was the most common cause for index hospitalization (5.5%) and readmission (8.9%). Severe dysglycemia accounted for 2.6% of index hospitalizations (48.1% hyperglycemia, 50.4% hypoglycemia, 1.5% unspecified) and 2.5% of readmissions (38.3% hyperglycemia, 61.0% hypoglycemia, 0.7% unspecified). Younger patient age, severe dysglycemia at index or prior hospitalization, and the Diabetes Complications Severity Index (DCSI) were the strongest risk factors predisposing patients to severe dysglycemia vs. other readmissions. Prior episodes of severe dysglycemia and the DCSI were also independent risk factors for other-cause readmissions, irrespective of the cause of the index hospitalization. CONCLUSIONS: Adults with diabetes are hospitalized and readmitted for a wide range of health conditions, and hospitalizations for severe hypoglycemia and hyperglycemia remain common, with high rates of recurrence. Severe dysglycemia is most likely to occur among younger patients with multiple diabetes complications and prior history of such events.

Redefining and Contextualizing the Hospital Volume-Outcome Relationship for Robot-Assisted Radical Prostatectomy: Implications for Centralization of Care.

PURPOSE: Robot-assisted radical prostatectomy has undergone rapid dissemination driven in part by market forces to become the most frequently used surgical approach in the management of prostate cancer. Accordingly, a critical analysis of its volume-outcome relationship has important health policy implications. Therefore, we evaluated the association of hospital robot-assisted radical prostatectomy volume with perioperative outcomes, and examined the distribution of hospital procedure volume to contextualize the volume-outcome relationship. MATERIALS AND METHODS: We identified 140,671 men who underwent robot-assisted radical prostatectomy from 2009 to 2011 in NIS (Nationwide Inpatient Sample). The associations of hospital volume with perioperative outcomes and total hospital costs were evaluated using multivariable logistic regression and generalized linear models. RESULTS: In 2011, 70% of hospitals averaged 1 robot-assisted radical prostatectomy per week or less, accounting for 28% of surgeries. Compared to patients treated at the lowest quartile hospitals, those treated at the highest quartile hospitals had significantly lower rates of intraoperative complications (0.6% vs 1.4%), postoperative complications (4.8% vs 13.9%), perioperative blood transfusion (1.5% vs 4.0%), prolonged hospitalization (4.3% vs 13.8%) and mean total hospital costs ($12,647 vs $15,394, all ptrend <0.001). When modeled as a nonlinear continuous variable, increasing hospital volume was independently associated with improved rates of each perioperative end point up to approximately 100 robot-assisted radical prostatectomies per year, beyond which there appeared to be marginal improvement. CONCLUSIONS: Increasing hospital robot-assisted radical prostatectomy volume was associated with improved perioperative outcomes up to approximately 100 surgeries per year, beyond which there appeared to be marginal improvement. A substantial proportion of these procedures is performed at low volume hospitals.