Hospital Encounters Within 1 Year Postpartum Across Insurance Types, Oregon 2012-2017.

BACKGROUND: Little is known about the timing and frequency of postpartum hospital encounters and postpartum visit attendance and how they may be associated with insurance types. Research on health insurance and its association with postpartum care utilization is often limited to the first 6 weeks. OBJECTIVE: To assess whether postpartum utilization (hospital encounters within 1 year postpartum and postpartum visit attendance within 12 weeks) differs by insurance type at birth (Medicaid, high deductible health plans, and other commercial plans) and whether rates of hospital encounters differ by postpartum visit attendance and insurance status. METHODS: Time-to-event analysis of Oregon hospital births from 2012 to 2017 using All Payer All Claims data. We conducted weighted Cox Proportional Hazard regressions and accounted for differences in insurance type at birth using multinomial propensity scores. RESULTS: Among 202,167 hospital births, 24.9% of births had at least 1 hospital encounter within 1 year postpartum. Births funded by Medicaid had a higher risk of a postpartum emergency department (ED) visit (hazard ratio: 2.05, 95% CI: 1.99, 2.12) and lower postpartum visit attendance (hazard ratio: 0.71, 95% CI: 0.70, 0.72) compared with commercial plans. Among Medicaid beneficiaries, missing the postpartum visit in the first 6 weeks was associated with a lower risk of subsequent readmissions (adjusted hazard ratio 0.77, 95% CI: 0.68, 0.87) and ED visits (adjusted hazard ratio: 0.87 (0.85, 0.88). CONCLUSIONS: Medicaid beneficiaries received more care in the ED within 1 year postpartum compared with those enrolled in other commercial plans. This highlights potential issues in postpartum care access.

Outcomes After a Statewide Policy to Improve Evidence-Based Treatment of Back Pain Among Medicaid Enrollees in Oregon.

BACKGROUND: A novel Oregon Medicaid policy guiding back pain management combined opioid restrictions with emphasis on non-opioid and non-pharmacologic therapies. OBJECTIVE: To examine the effect of the policy on prescribing, health outcomes, and health service utilization. DESIGN: Using Medicaid enrollment, medical and prescription claims, prescription drug monitoring program, and vital statistics files, we analyzed the policy's association with selected outcomes using interrupted time series models. SUBJECTS: Adult Medicaid patients with back pain enrolled between 2014 and 2018. INTERVENTION: The Oregon Medicaid back pain policy. MAIN MEASURES: Opioid and non-opioid medication prescribing, procedural care, substance use and mental health conditions, and outpatient and inpatient healthcare utilization. KEY RESULTS: The policy was associated with decreases in the percentage of Medicaid enrollees with back pain receiving any opioids (- 2.68 percentage points [95% CI - 3.14, - 2.23] level, - 1.01 pp [95% CI - 1.1, - 0.92] slope), days of short-acting opioid use (- 0.4 days [95% CI - 0.53, - 0.26] slope), receipt of more than 7 days of short-acting opioids (- 2.36 pp [95% CI - 2.76, - 1.95] level, - 0.91 pp [95% CI - 1, - 0.83] slope), chronic opioid use (- 1.27 pp [95% CI - 1.59, - 0.94] level, - 0.46 [95% CI - 0.53, - 0.39 slope), and spinal surgeries and procedures. Among secondary outcomes, we found no increase in opioid overdose and a small, statistically significant trend decrease in opioid use disorders. There were small increases in non-opioid substance use and mental health diagnoses and visits but no increase in self-harm. CONCLUSIONS: A state Medicaid policy emphasizing evidence-based back pain management was associated with decreases in opioid prescribing, spinal surgeries, and opioid use disorder trends, but also short-term increases in mental health encounters and an increase in non-opioid substance use disorder trends. Such policies may help reinforce evidence-based care, but must be designed with consideration of potential harms.

Postpartum Hospital Readmissions With and Without Severe Maternal Morbidity Within 1 Year of Birth, Oregon, 2012-2017.

Postpartum readmissions (PPRs) represent a critical marker of maternal morbidity after hospital childbirth. Most severe maternal morbidity (SMM) events result in a hospital admission, but most PPRs do not have evidence of SMM. Little is known about PPR and SMM beyond the first 6 weeks postpartum. We examined the associations of maternal demographic and clinical factors with PPR within 12 months postpartum. We categorized PPR as being with or without evidence of SMM to assess whether risk factors and timing differed. Using the Oregon All Payer All Claims database, we analyzed hospital births from 2012-2017. We used log-binomial regression to estimate associations between maternal factors and PPR. Our final analytical sample included 158,653 births. Overall, 2.6% (n = 4,141) of births involved at least 1 readmission within 12 months postpartum (808 (19.5% of PPRs) with SMM). SMM at delivery was the strongest risk factor for PPR with SMM (risk ratio (RR) = 5.55, 95% confidence interval (CI): 4.14, 7.44). PPR without SMM had numerous risk factors, including any mental health diagnosis (RR = 2.10, 95% CI: 1.91, 2.30), chronic hypertension (RR = 2.17, 95% CI: 1.85, 2.55), and prepregnancy diabetes (RR = 2.85, 95% CI: 2.47, 3.30), all which were on par with SMM at delivery (RR = 1.89, 95% CI: 1.49, 2.40).

Emergency Department Pediatric Readiness Among US Trauma Centers: A Machine Learning Analysis of Components Associated With Survival.

OBJECTIVE: We used machine learning to identify the highest impact components of emergency department (ED) pediatric readiness for predicting in-hospital survival among children cared for in US trauma centers. BACKGROUND: ED pediatric readiness is associated with improved short-term and long-term survival among injured children and part of the national verification criteria for US trauma centers. However, the components of ED pediatric readiness most predictive of survival are unknown. METHODS: This was a retrospective cohort study of injured children below 18 years treated in 458 trauma centers from January 1, 2012, through December 31, 2017, matched to the 2013 National ED Pediatric Readiness Assessment and the American Hospital Association survey. We used machine learning to analyze 265 potential predictors of survival, including 152 ED readiness variables, 29 patient variables, and 84 ED-level and hospital-level variables. The primary outcome was in-hospital survival. RESULTS: There were 274,756 injured children, including 4585 (1.7%) who died. Nine ED pediatric readiness components were associated with the greatest increase in survival: policy for mental health care (+8.8% change in survival), policy for patient assessment (+7.5%), specific respiratory equipment (+7.2%), policy for reduced-dose radiation imaging (+7.0%), physician competency evaluations (+4.9%), recording weight in kilograms (+3.2%), life support courses for nursing (+1.0%-2.5%), and policy on pediatric triage (+2.5%). There was a 268% improvement in survival when the 5 highest impact components were present. CONCLUSIONS: ED pediatric readiness components related to specific policies, personnel, and equipment were the strongest predictors of pediatric survival and worked synergistically when combined.

Comparison of Low-Value Care Among Commercial and Medicaid Enrollees.

BACKGROUND: Low-value healthcare is costly and inefficient and may adversely affect patient outcomes. Despite increases in low-value service use, little is known about how the receipt of low-value care differs across payers. OBJECTIVE: To evaluate differences in the use of low-value care between patients with commercial versus Medicaid coverage. DESIGN: Retrospective observational analysis of the 2017 Rhode Island All-payer Claims Database, estimating the probability of receiving each of 14 low-value services between commercial and Medicaid enrollees, adjusting for patient sociodemographic and clinical characteristics. Ensemble machine learning minimized the possibility of model misspecification. PARTICIPANTS: Medicaid and commercial enrollees aged 18-64 with continuous coverage and an encounter at which they were at risk of receiving a low-value service. INTERVENTION: Enrollment in Medicaid or Commercial insurance. MAIN MEASURES: Use of one of 14 validated measures of low-value care. KEY RESULTS: Among 110,609 patients, Medicaid enrollees were younger, had more comorbidities, and were more likely to be female than commercial enrollees. Medicaid enrollees had higher rates of use for 7 low-value care measures, and those with commercial coverage had higher rates for 5 measures. Across all measures of low-value care, commercial enrollees received more (risk difference [RD] 6.8 percentage points; CI: 6.6 to 7.0) low-value services than their counterparts with Medicaid. Commercial enrollees were also more likely to receive low-value services typically performed in the emergency room (RD 11.4 percentage points; CI: 10.7 to 12.2) and services that were less expensive (RD 15.3 percentage points; CI 14.6 to 16.0). CONCLUSION: Differences in the provision of low-value care varied across measures, though average use was slightly higher among commercial than Medicaid enrollees. This difference was more pronounced for less expensive services indicating that financial incentives may not be the sole driver of low-value care.

Increased Use of Complementary and Alternative Therapies for Back Pain Following Statewide Medicaid Coverage Changes in Oregon.

BACKGROUND: In 2016, Oregon introduced a policy to improve back pain treatment among Medicaid enrollees by expanding benefits for evidence-based complementary and alternative medical (CAM) services and establishing opioid prescribing restrictions. OBJECTIVE: To examine changes in CAM utilization following the policy and variations in utilization across patient populations. DESIGN: A retrospective study of Oregon Medicaid claims data, examining CAM therapy utilization by back pain patients pre- vs post-policy. We used an interrupted time series analysis to evaluate changes in CAM use and examined the association between patient characteristics and CAM use post-policy using linear regression models. PARTICIPANTS: Adult Medicaid patients with back pain. INTERVENTION: The Oregon Medicaid back pain policy, administered through Coordinated Care Organizations (CCOs). MAIN MEASURES: Use of CAM services. KEY RESULTS: Use of any CAM service increased from 7.9% (95% CI 7.6-8.2%) prior to the policy to 30.9% (95% CI 30.4-31.3%) after the policy. Acupuncture increased from 0.3 to 5.6%, chiropractic from 0.3 to 11.1%, massage from 1.6 to 14.8%, PT/OT from 6.0 to 17.7%, and osteopathic from 1.4 to 1.9%. Interrupted time series showed an overall increase in proportion of back pain patients who used CAM service following the policy. Among those who accessed CAM, the policy did not appear to increase the number of services used. In the post period, CAM services were accessed more often by female and older enrollees and urban populations. Black, American Indian/Alaska Native, and Hispanic enrollees were less likely to access CAM services; for Black enrollees, this was true for all types of services. CONCLUSIONS: CAM service utilization increased among back pain patients following implementation of Oregon's policy. There was significant heterogeneity in uptake across service types, CCOs, and patient subgroups. Policymakers should consider implementation factors that might limit impact and perpetuate health disparities.

Accuracy of Hospital Discharge Codes in Medicare Claims for Knee and Hip Replacement Patients.

BACKGROUND: Despite the importance of the hospital discharge destination field ("discharge code" hereafter) for research and payment reform, its accuracy is not well established. OBJECTIVES: The aim of this study was to examine the accuracy of discharge codes in Medicare claims. DATA SOURCES: 2012-2015 Medicare claims of knee and hip replacement patients. RESEARCH DESIGN: We identified patients' discharge location in claims and compared it with the discharge code. We also used a mixed-effects logistic regression to examine the association of patient and hospital characteristics with discharge code accuracy. RESULTS: Approximately 9% of discharge codes were inaccurate. Long-term care hospital discharge codes had the lowest accuracy rate (41%), followed by acute care transfers (72%), inpatient rehabilitation facility (80%), and home discharges (83%). Most misclassifications occurred within 2 broad groups of postacute care settings: home-based and institutional care. The odds of inaccurate discharge codes were higher for Medicaid-enrolled patients and safety-net and low-volume hospitals. CONCLUSIONS: Inaccurate hospital discharge coding may have introduced bias in studies relying on these codes (eg, evaluations of Medicare bundled payment models). Inaccuracy was more common among Medicaid-enrolled patients and safety-net and low-volume hospitals, suggesting more potential bias in existing study findings pertaining to these patients and hospitals.

Access to Primary, Mental Health, and Specialty Care: a Comparison of Medicaid and Commercially Insured Populations in Oregon.

OBJECTIVE: To describe how access to primary and specialty care differs for Medicaid patients relative to commercially insured patients, and how these differences vary across rural and urban counties, using comprehensive claims data from Oregon. DESIGN: Cross-sectional study of risk-adjusted access rates for two types of primary care providers (physicians; nurse practitioners (NPs) and physician assistants (PAs)); four types of mental health providers (psychiatrists, psychologists, advanced practice NPs or PAs specializing in mental health care, behavioral specialists); and four physician specialties (obstetrics and gynecology, general surgery, gastroenterology, dermatology). PARTICIPANTS: 420,947 Medicaid and 638,980 commercially insured adults in Oregon, October 2014-September 2015. OUTCOME: Presence of any visit with each provider type, risk-adjusted for sex, age, and health conditions. RESULTS: Relative to commercially insured individuals, Medicaid enrollees had lower rates of access to primary care physicians (- 11.82%; CI - 12.01 to - 11.63%) and to some specialists (e.g., obstetrics and gynecology, dermatology), but had equivalent or higher rates of access to NPs and PAs providing primary care (4.33%; CI 4.15 to 4.52%) and a variety of mental health providers (including psychiatrists, NPs and PAs, and other behavioral specialists). Across all providers, the largest gaps in Medicaid-commercial access rates were observed in rural counties. The Medicaid-commercial patient mix was evenly distributed across primary care physicians, suggesting that access for Medicaid patients was not limited to a small subset of primary care providers. CONCLUSIONS: This cross-sectional study found lower rates of access to primary care physicians for Medicaid enrollees, but Medicaid-commercial differences in access rates were not present across all provider types and displayed substantial variability across counties. Policies that address rural-urban differences as well as Medicaid-commercial differences-such as expansions of telemedicine or changes in the workforce mix-may have the largest impact on improving access to care across a wide range of populations.

Does a transition to accountable care in Medicaid shift the modality of colorectal cancer testing?

BACKGROUND: Health care reform is changing preventive services delivery. This study explored trajectories in colorectal cancer (CRC) testing over a 5-year period that included implementation of 16 Medicaid Accountable Care Organizations (ACOs, 2012) and Medicaid expansion (2014) - two provisions of the Affordable Care Act (ACA) - within the state of Oregon, USA. METHODS: Retrospective analysis of Oregon's Medicaid claims for enrollee's eligible for CRC screening (50-64 years) spanning January 2010 through December 2014. Our analysis was conducted and refined April 2016 through June 2018. The analysis assessed the annual probability of patients receiving CRC testing and the modality used (e.g., colonoscopy, fecal testing) relative to a baseline year (2010). We hypothesized that CRC testing would increase following Medicaid ACO formation - called Coordinated Care Organizations (CCOs). RESULTS: A total of 132,424 unique Medicaid enrollees (representing 255,192 person-years) met inclusion criteria over the 5-year study. Controlling for demographic and regional factors, the predicted probability of CRC testing was significantly higher in 2014 (+ 1.4 percentage points, p < 0.001) compared to the 2010 baseline but not in 2012 or 2013. Increased fecal testing using Fecal Occult Blood Tests (FOBT) or Fecal Immunochemical Tests (FIT) played a prominent role in 2014. The uptick in statewide fecal testing appears driven primarily by a subset of CCOs. CONCLUSIONS: Observed CRC testing did not immediately increase following the transition to CCOs in 2012. However increased testing in 2014, may reflect a delay in implementation of interventions to increase CRC screening and/or a strong desire by newly insured Medicaid CCO members to receive preventive care.

Pharmacists expand access to reproductive heaLthcare: PEARL study protocol.

BACKGROUND: In 2016, Oregon became the first of eight states to allow pharmacists to directly prescribe hormonal contraception (HC), including the pill, patch, or ring, without a clinic visit. In the two years following this policy change, the majority of ZIP codes across the state of Oregon had a pharmacist certified to prescribe HC. METHODS: We will utilize complementary methodologies to evaluate the effect of this policy change on convenient access to contraception (cost, supply dispensed), safety, contraceptive continuation and unintended pregnancy rates. We will conduct a prospective clinical cohort study to directly measure the impact of provider type on contraceptive continuation and to understand who is accessing hormonal contraception directly from pharmacists. We will concurrently conduct a retrospective analysis using medical claims data to evaluate the state-level effect of the policy. We will examine contraceptive continuation rates, incident pregnancy, and safety measures. The combination of these methodologies allows us to examine key woman-level factors, such as pregnancy intention and usual place of care, while also estimating the impact of the pharmacist prescription policy at the state level. DISCUSSION: Pharmacist prescription of HC is emerging nationally as a strategy to reduce unintended pregnancy. This study will provide data on the effect of this practice on convenient access to care, contraceptive safety and continuation rates.

Addressing Social Determinants of Health through Medicaid: Lessons from Oregon.

States and policy makers have expressed a strong interest in using Medicaid to address social determinants of health (SDOH). While this approach holds promise for improving outcomes and reducing costs, using Medicaid to pay for services outside the medical system creates challenges. This article examines efforts to address SDOH in Oregon, which, as part of its 2012 Medicaid waiver, incorporated health-related services that lacked billing or encounter codes and were not included in Oregon's Medicaid state plan as a strategy to improve outcomes and control costs. We examine the varieties of health-related services that were used and describe the specific challenges in deploying and paying for these services. We conclude with lessons from Oregon that can help states and the federal government as they work to address SDOH.

Decomposing Medicaid Spending During Health System Reform and ACA Expansion: Evidence From Oregon.

BACKGROUND: Expansion of the Medicaid program is likely to create new budgetary pressures at the state and federal levels, creating a need for greater understanding of how program dollars are allocated and what drives spending growth. OBJECTIVE: To characterize Oregon Medicaid expenditures across diseases and medical conditions, during periods of payment reform and coverage expansion. RESEARCH DESIGN: Decomposition of changes in Medicaid expenditures using a person-based allocation of spending across 50 diseases/medical conditions. Four indices describe changes in costs per enrolled member, demographic shifts, prevalence of treated disease/condition, and costs per treated member. SUBJECTS: Oregon Medicaid beneficiaries during 2011 (N=597,422), 2013 (N=614,858), and 2014 (N=978,237). RESULTS: Expenditures on pregnancy/birth and mental conditions accounted for 24% of 2011 spending. Oregon's 2012 payment reform was associated with reduced spending attributable primarily to decreased prevalence of treated conditions. The 2014 Medicaid expansion was marked by lower pregnancy and mental health expenditures and higher spending on treatment for substance use and heart disease. CONCLUSIONS: Medicaid spending is concentrated among a small group of medical conditions, not all of which are typically associated with the program. The relative expenditure burdens for some conditions are likely to change with health system reform and enrollment expansions. Decomposition into 4 indices and reporting by disease/condition elucidate variability in drivers of cost growth.

Use of Quality Improvement Strategies Among Small to Medium-Size US Primary Care Practices.

PURPOSE: Improving primary care quality is a national priority, but little is known about the extent to which small to medium-size practices use quality improvement (QI) strategies to improve care. We examined variations in use of QI strategies among 1,181 small to medium-size primary care practices engaged in a national initiative spanning 12 US states to improve quality of care for heart health and assessed factors associated with those variations. METHODS: In this cross-sectional study, practice characteristics were assessed by surveying practice leaders. Practice use of QI strategies was measured by the validated Change Process Capability Questionnaire (CPCQ) Strategies Scale (scores range from -28 to 28, with higher scores indicating more use of QI strategies). Multivariable linear regression was used to examine the association between practice characteristics and the CPCQ strategies score. RESULTS: The mean CPCQ strategies score was 9.1 (SD = 12.2). Practices that participated in accountable care organizations and those that had someone in the practice to configure clinical quality reports from electronic health records (EHRs), had produced quality reports, or had discussed clinical quality data during meetings had higher CPCQ strategies scores. Health system-owned practices and those experiencing major disruptive changes, such as implementing a new EHR system or clinician turnover, had lower CPCQ strategies scores. CONCLUSION: There is substantial variation in the use of QI strategies among small to medium-size primary care practices across 12 US states. Findings suggest that practices may need external support to strengthen their ability to do QI and to be prepared for new payment and delivery models.

Does Prescription Opioid Shopping Increase Overdose Rates in Medicaid Beneficiaries?

STUDY OBJECTIVE: The link between prescription opioid shopping and overdose events is poorly understood. We test the hypothesis that a history of prescription opioid shopping is associated with increased risk of overdose events. METHODS: This is a secondary analysis of a linked claims and controlled substance dispense database. We studied adult Medicaid beneficiaries in 2014 with prescription opioid use in the 6 months before an ambulatory care or emergency department visit with a pain-related diagnosis. The primary outcome was a nonfatal overdose event within 6 months of the cohort entry date. The exposure of interest (opioid shopping) was defined as having opioid prescriptions by different prescribers with greater than or equal to 1-day overlap and filled at 3 or more pharmacies in the 6 months before cohort entry. We used a propensity score to match shoppers with nonshoppers in a 1:1 ratio. We calculated the absolute difference in outcome rates between shoppers and nonshoppers. RESULTS: We studied 66,328 patients, including 2,571 opioid shoppers (3.9%). There were 290 patients (0.4%) in the overall cohort who experienced a nonfatal overdose. In unadjusted analyses, shoppers had higher event rates than nonshoppers (rate difference of 4.4 events per 1,000; 95% confidence interval 0.8 to 7.9). After propensity score matching, there were no outcome differences between shoppers and nonshoppers (rate difference of 0.4 events per 1,000; 95% confidence interval -4.7 to 5.5). These findings were robust to various definitions of opioid shoppers and look-back periods. CONCLUSION: Prescription opioid shopping is not independently associated with increased risk of overdose events.

Hospital Strategies for Reducing Emergency Department Crowding: A Mixed-Methods Study.

STUDY OBJECTIVE: Emergency department (ED) crowding and patient boarding are associated with increased mortality and decreased patient satisfaction. This study uses a positive deviance methodology to identify strategies among high-performing, low-performing, and high-performance improving hospitals to reduce ED crowding. METHODS: In this mixed-methods comparative case study, we purposively selected and recruited hospitals that were within the top and bottom 5% of Centers for Medicare & Medicaid Services case-mix-adjusted ED length of stay and boarding times for admitted patients for 2012. We also recruited hospitals that showed the highest performance improvement in metrics between 2012 and 2013. Interviews were conducted with 60 key leaders (physicians, nurses, quality improvement specialists, and administrators). RESULTS: We engaged 4 high-performing, 4 low-performing, and 4 high-performing improving hospitals, matched on hospital characteristics including geographic designation (urban versus rural), region, hospital occupancy, and ED volume. Across all hospitals, ED crowding was recognized as a hospitalwide issue. The strategies for addressing ED crowding varied widely. No specific interventions were associated with performance in length-of-stay metrics. The presence of 4 organizational domains was associated with hospital performance: executive leadership involvement, hospitalwide coordinated strategies, data-driven management, and performance accountability. CONCLUSION: There are organizational characteristics associated with ED decreased length of stay. Specific interventions targeted to reduce ED crowding were more likely to be successfully executed at hospitals with these characteristics. These organizational domains represent identifiable and actionable changes that other hospitals may incorporate to build awareness of ED crowding.

Effect of Automated Prescription Drug Monitoring Program Queries on Emergency Department Opioid Prescribing.

STUDY OBJECTIVE: We assess whether an automated prescription drug monitoring program intervention in emergency department (ED) settings is associated with reductions in opioid prescribing and quantities. METHODS: We performed a retrospective cohort study of ED visits by Medicaid beneficiaries. We assessed the staggered implementation (pre-post) of automated prescription drug monitoring program queries at 86 EDs in Washington State from January 1, 2013, to September 30, 2015. The outcomes included any opioid prescribed within 1 day of the index ED visit and total dispensed morphine milligram equivalents. The exposure was the automated prescription drug monitoring program query intervention. We assessed program effects stratified by previous high-risk opioid use. We performed multiple sensitivity analyses, including restriction to pain-related visits, restriction to visits with a confirmed prescription drug monitoring program query, and assessment of 6 specific opioid high-risk indicators. RESULTS: The study included 1,187,237 qualifying ED visits (898,162 preintervention; 289,075 postintervention). Compared with the preintervention period, automated prescription drug monitoring program queries were not significantly associated with reductions in the proportion of visits with opioid prescribing (5.8 per 1,000 encounters; 95% confidence interval [CI] -0.11 to 11.8) or the amount of prescribed morphine milligram equivalents (difference 2.66; 95% CI -0.15 to 5.48). There was no evidence of selective reduction in patients with previous high-risk opioid use (1.2 per 1,000 encounters, 95% CI -9.5 to 12.0; morphine milligram equivalents 1.22, 95% CI -3.39 to 5.82). The lack of a selective reduction in high-risk patients was robust to all sensitivity analyses. CONCLUSION: An automated prescription drug monitoring program query intervention was not associated with reductions in ED opioid prescribing or quantities, even in patients with previous high-risk opioid use.

Effect of a high dosage opioid prior authorization policy on prescription opioid use, misuse, and overdose outcomes.

BACKGROUND: High dosage opioid use is a risk factor for opioid-related overdose commonly cited in guidelines, recommendations, and policies. In 2012, the Oregon Medicaid program developed a prior authorization policy for opioid prescriptions above 120 mg per day morphine equivalent dose (MED). This study aimed to evaluate the effects of that policy on utilization, prescribing patterns, and health outcomes. METHODS: Using administrative claims data from Oregon and a control state (Colorado) between 2011 and 2013, we used difference-in-differences analyses to examine changes in utilization, measures of high risk opioid use, and overdose after introduction of the policy. We also evaluated opioid utilization in a cohort of individuals who were high dosage opioid users before the policy. RESULTS: Following implementation of Oregon's high dosage policy, the monthly probability of an opioid fill over 120 mg MED declined significantly by 1.7 percentage points (95% confidence interval [CI]; -2.0% to -1.4%), whereas it increased significantly by 1.0 percentage points (95% CI 0.4% to 1.7%) for opioid fills < 61 mg MED. Fills of medications used to treat neuropathic pain also increased by 1.2 percentage points (95% CI 0.7% to 1.8%). The monthly probability of multiple pharmacy use declined by 0.1 percentage points (-0.2% to -0.0) following the prior authorization, but there were no significant changes in ED encounters or hospitalizations for opioid overdose. Among individuals who were using a high dosage opioid before the policy, there was a 20.3 percentage point (95% CI -15.3% to -25.3%) decline in estimated probability of having a high dosage fill after the policy. CONCLUSIONS: Oregon's prior authorization policy was effective at reducing high dosage opioid prescriptions. While multiple pharmacy use also declined, we found no impact on opioid overdose were observed.

Risk-Adjusted Variation of Publicly Reported Emergency Department Timeliness Measures.

STUDY OBJECTIVE: The Centers for Medicare & Medicaid Services (CMS) recently published emergency department (ED) timeliness measures. These data show substantial variation in hospital performance and suggest the need for process improvement initiatives. However, the CMS measures are not risk adjusted and may provide misleading information about hospital performance and variation. We hypothesize that substantial hospital-level variation will persist after risk adjustment. METHODS: This cross-sectional study included hospitals that participated in the Emergency Department Benchmarking Alliance and CMS ED measure reporting in 2012. Outcomes included the CMS measures corresponding to median annual boarding time, length of stay of admitted patients, length of stay of discharged patients, and waiting time of discharged patients. Covariates included hospital structural characteristics and case-mix information from the American Hospital Association Survey, CMS cost reports, and the Emergency Department Benchmarking Alliance. We used a γ regression with a log link to model the skewed outcomes. We used indirect standardization to create risk-adjusted measures. We defined "substantial" variation as coefficient of variation greater than 0.15. RESULTS: The study cohort included 723 hospitals. Risk-adjusted performance on the CMS measures varied substantially across hospitals, with coefficient of variation greater than 0.15 for all measures. Ratios between the 10th and 90th percentiles of performance ranged from 1.5-fold for length of stay of discharged patients to 3-fold for waiting time of discharged patients. CONCLUSION: Policy-relevant variations in publicly reported CMS ED timeliness measures persist after risk adjustment for nonmodifiable hospital and case-mix characteristics. Future "positive deviance" studies should identify modifiable process measures associated with high performance.

Modern Management Practices and Hospital Admissions.

We investigate whether the modern management practices and publicly reported performance measures are associated with choice of hospital for patients with acute myocardial infarction (AMI). We define and measure management practices at approximately half of US cardiac care units using a novel survey approach. A patient's choice of a hospital is modeled as a function of the hospital's performance on publicly reported quality measures and the quality of its management. The estimates, based on a grouped conditional logit specification, reveal that higher management scores and better performance on publicly reported quality measures are positively associated with hospital choice. Management practices appear to have a direct correlation with admissions for AMI--potentially through reputational effects--and indirect association, through better performance on publicly reported measures. Overall, a one standard deviation change in management practice scores is associated with an 8% increase in AMI admissions.