No Improvement In Mental Health Treatment Or Patient-Reported Outcomes At Medicare ACOs For Depression And Anxiety Disorders.

Accountable care organizations (ACOs) have become Medicare's dominant care model because policy makers believe that ACOs will improve the quality and efficiency of care for chronic conditions. Depression and anxiety disorders are the most prevalent and undertreated chronic mental health conditions in Medicare. Yet it is unknown whether ACOs influence treatment and outcomes for these conditions. To explore these questions, this longitudinal study used data from the 2016-19 Medicare Current Beneficiary Survey, linked to validated depression and anxiety symptom instruments, among diagnosed and undiagnosed fee-for-service Medicare patients with these conditions. Among patients not enrolled in ACOs at baseline, those who newly enrolled in ACOs in the following year were 24 percent less likely to have their depression or anxiety treated during the year than patients who remained unenrolled in ACOs, and they saw no relative improvements at twelve months in their depression and anxiety symptoms. Better-designed incentives are needed to motivate Medicare ACOs to improve mental health treatment.

Registered nurses: can our supply meet the demand during a disaster?

BACKGROUND: Death and destructions are often reported during natural disasters; yet little is known about how hospitals operate during disasters and if there are sufficient resources available for hospitals to provide ongoing care during these catastrophic events. The purpose of this study was to determine if the State of New Jersey had a supply of registered nurses (RNs) that was sufficient to meet the needs of hospitalized patients during a natural disaster - Hurricane Sandy. METHODS: Secondary data were used to forecast the demand and supply of New Jersey RNs during Hurricane Sandy. Data sources from November 2011 and 2012 included the State Inpatient Databases (SID), American Hospital Association (AHA) Annual Survey on hospital characteristics and staffing data from New Jersey Department of Health. Three models were used to estimate the RN shortage for each hospital, which was the difference between the demand and supply of RN full-time equivalents. RESULTS: Data were available on 66 New Jersey hospitals, more than half of which experienced a shortage of RNs during Hurricane Sandy. For hospitals with a RN shortage in ICUs, a 20% increase in observed RN supply was needed to meet the demand; and a 10% increase in observed RN supply was necessary to meet the demand for hospitals with a RN shortage in non-ICUs. CONCLUSION: Findings from this study suggest that many hospitals in New Jersey had a shortage of RNs during Hurricane Sandy. Efforts are needed to improve the availability of nurse resources during a natural disaster.

Association of prescription drug monitoring program laws with bedridden and missed work days.

OBJECTIVE: To examine the relationship between optional and must-use prescription drug monitoring programs (PDMPs) and markers of disability. DATA SOURCES: Nationwide data from the National Health Interview Survey for 2006-2015. STUDY DESIGN: Generalized difference-in-difference models with state-specific time trends were used to assess the relationship between PDMPs and two outcomes: missed days of work and bedridden days. DATA COLLECTION/EXTRACTION METHODS: All respondents above the age of 18 years with complete data on key measures were included. A subpopulation of respondents who had a recent surgery or injury was identified. PRINCIPAL FINDINGS: We found an increase of 3.3 and 5.9 bedridden days associated with optional and must-use PDMPs, respectively, for respondents reporting a recent injury or surgery (p-values <0.05; unadjusted population average 12.2 bedridden days). Increases in days of missed work were not statistically significant. CONCLUSIONS: Implementation of PDMPs was associated with negative unintended consequences in the injury/surgery subpopulation. The association between bedridden days and PDMPs suggests a gap between clinical trials showing equivalence of opioids and nonopioids for pain treatment and real-world results. As increasingly tighter opioid restrictions proliferate, evidence-based strategies to address pain without opioids in the acute pain population likely need to be more widely disseminated.

The impact of urgent care centers on nonemergent emergency department visits.

OBJECTIVE: To estimate the impact of urgent care centers on emergency department (ED) use. DATA SOURCES: Secondary data from a novel urgent care center database, linked to the Healthcare Cost and Utilization Project State Emergency Department Databases (SEDD) from six states. STUDY DESIGN: We used a difference-in-differences design to examine ZIP code-level changes in the acuity mix of emergency department visits when local urgent care centers were open versus closed. ZIP codes with no urgent care centers served as a control group. We tested for differential impacts of urgent care centers according to ED wait time and patient insurance status. DATA COLLECTION/EXTRACTION METHODS: Urgent care center daily operating times were determined via the urgent care center database. Emergency department visit acuity was assessed by applying the NYU ED algorithm to the SEDD data. Urgent care locations and nearby emergency department encounters were linked via zip code. PRINCIPAL FINDINGS: We found that having an open urgent care center in a ZIP code reduced the total number of ED visits by residents in that ZIP code by 17.2% (P < 0.05), due largely to decreases in visits for less emergent conditions. This effect was concentrated among visits to EDs with the longest wait times. We found that urgent care centers reduced the total number of uninsured and Medicaid visits to the ED by 21% (P < 0.05) and 29.1% (P < 0.05), respectively. CONCLUSIONS: During the hours they are open, urgent care centers appear to be treating patients who otherwise would have visited the ED. This suggests that urgent care centers have the potential to reduce health care expenditures, though questions remain about their net cost impact. Future work should assess whether urgent care centers can improve health care access among populations that often experience barriers to receiving timely care.

Opioid Fills in Children Undergoing Surgery From 2011 to 2014: A Retrospective Analysis of Relationships Among Age, Initial Days Supplied, and Refills.

OBJECTIVE: The primary objective is to describe the relationship between the days supplied of postsurgical filled opioid prescriptions and refills. BACKGROUND: The American College of Surgeons (ACS) has called for surgeons to alter opioid prescribing to counteract the opioid epidemic while simultaneously providing pain relief. However, there is insufficient evidence to inform perioperative prescribing guidelines and quality metrics in children. METHODS: We performed a secondary data analysis of nationwide commercial claims from the Health Care Cost Institute (HCCI) data spanning 2010 and 2014. Based on initial opioid fill and refill rates for 11 common pediatric procedures, the refill analysis focused on anterior cruciate ligament repair, humerus fracture repair, cholecystectomy, posterior spinal fusion, and tonsillectomy. RESULTS: There were 178,990 cases with a median age of 6. Overall, 48.5% of patients filled an opioid prescription between 30 days before surgery through 7 days after surgery, and 14.2% filled a second opioid prescription within 30 days. There was a significant negative relationship between days supplied in the initial prescription and probability of a refill for humerus fracture, spinal fusion, and tonsillectomy. The largest effect was seen for tonsillectomy, with the odds of having a refill decreasing by approximately 12% for each day supplied in the initial prescription (odds ratio 0.88, 95% confidence interval 0.87-0.89, P < 0.001). CONCLUSIONS: Pediatric postoperative opioid-prescribing guidelines need to be procedure-specific and based on patient age. We provide the days supplied associated with a 20% probability of a refill by age to further guideline development.

Association of Clinician Health System Affiliation With Outpatient Performance Ratings in the Medicare Merit-based Incentive Payment System.

Importance: Integration of physician practices into health systems composed of hospitals and multispecialty practices is increasing in the era of value-based payment. It is unknown how clinicians who affiliate with such health systems perform under the new mandatory Centers for Medicare & Medicaid Services Merit-based Incentive Payment System (MIPS) relative to their peers. Objective: To assess the relationship between the health system affiliations of clinicians and their performance scores and value-based reimbursement under the 2019 MIPS. Design, Setting, and Participants: Publicly reported data on 636 552 clinicians working at outpatient clinics across the US were used to assess the association of the affiliation status of clinicians within the 609 health systems with their 2019 final MIPS performance score and value-based reimbursement (both based on clinician performance in 2017), adjusting for clinician, patient, and practice area characteristics. Exposures: Health system affiliation vs no affiliation. Main Outcomes and Measures: The primary outcome was final MIPS performance score (range, 0-100; higher scores intended to represent better performance). The secondary outcome was MIPS payment adjustment, including negative (penalty) payment adjustment, positive payment adjustment, and bonus payment adjustment. Results: The final sample included 636 552 clinicians (41% female, 83% physicians, 50% in primary care, 17% in rural areas), including 48.6% who were affiliated with a health system. Compared with unaffiliated clinicians, system-affiliated clinicians were significantly more likely to be female (46% vs 37%), primary care physicians (36% vs 30%), and classified as safety net clinicians (12% vs 10%) and significantly less likely to be specialists (44% vs 55%) (P < .001 for each). The mean final MIPS performance score for system-affiliated clinicians was 79.0 vs 60.3 for unaffiliated clinicians (absolute mean difference, 18.7 [95% CI, 18.5 to 18.8]). The percentage receiving a negative (penalty) payment adjustment was 2.8% for system-affiliated clinicians vs 13.7% for unaffiliated clinicians (absolute difference, -10.9% [95% CI, -11.0% to -10.7%]), 97.1% vs 82.6%, respectively, for those receiving a positive payment adjustment (absolute difference, 14.5% [95% CI, 14.3% to 14.6%]), and 73.9% vs 55.1% for those receiving a bonus payment adjustment (absolute difference, 18.9% [95% CI, 18.6% to 19.1%]). Conclusions and Relevance: Clinician affiliation with a health system was associated with significantly better 2019 MIPS performance scores. Whether this represents differences in quality of care or other factors requires additional research.

Clinicians With High Socially At-Risk Caseloads Received Reduced Merit-Based Incentive Payment System Scores.

To understand how clinicians with high caseloads of socially at-risk patients fare under Medicare's new outpatient Merit-based Incentive Payment System (MIPS), we examined the first (2019) round of MIPS performance data for 510,020 clinicians. Compared with clinicians with the lowest socially at-risk caseloads, those with the highest had 13.4 points lower MIPS performance scores, were 99 percent more likely to receive a negative payment adjustment, and were 52 percent less likely to receive an exceptional performance bonus payment. The lower performance scores were partly explained by lower clinician reporting of and performance on technology-dependent measures, which may reflect a lack of practice-level technological capability. If the Complex Patient Bonus were in effect, the performance scores and likelihood of receiving an exceptional performance bonus (payment of clinicians with the highest socially at-risk caseloads) would have increased by 4.7 percent and 2.8 percent, respectively; however, the proportion receiving negative payment adjustments would have remained unchanged. The Complex Patient Bonus appears unlikely to mitigate the most regressive effects of MIPS.

Patient social risk factors and continuity of care for Medicare beneficiaries.

OBJECTIVE: To identify patient social risk factors associated with Continuity of Care (COC) index. DATA SOURCES/STUDY SETTING: Medicare Current Beneficiary Survey (MCBS), the Dartmouth Institute, and Area Resource File for 2006-2013. STUDY DESIGN: We use regression methods to assess the effect of patient social risk factors on COC after adjusting for medical complexity. In secondary analyses, we assess the effect of social risk factors on annual utilization of physicians and specialists for evaluation and management (E&M). DATA COLLECTION/EXTRACTION METHODS: We retrospectively identified 59 499 patient years for Medicare beneficiaries with one year of enrollment and three or more E&M visits. PRINCIPAL FINDINGS: After adjustment for medical complexity, individual-level social risk factors such as lack of education, low income, and living alone are all associated with better patient COC (P < .05). Similarly, area-level social risk factors such as living in areas that are nonurban or high poverty, as well as in areas with low specialist or high primary care physician supply, are all associated with better patient COC (P < .05). We found the opposite pattern of associations between these same risk factors and annual patient utilization of physicians and specialists (P < .05). CONCLUSIONS: Medicare patients with multiple social risk factors have consistently better COC; these same social risk factors are associated with reduced patient-realized access to specialist physician care.

Racial and Sex Disparities in Catheter Use and Dialysis Access in the United States Medicare Population.

BACKGROUND: Despite efforts to increase arteriovenous fistula and graft use, 80% of patients in the United States start hemodialysis on a central venous catheter (CVC). METHODS: To better understand in incident hemodialysis patients how sex and race/ethnicity are associated with time on a central venous catheter and transition to an arteriovenous fistula and graft, our observational cohort study analyzed US Renal Data System data for patients with incident ESKD aged ≥66 years who started hemodialysis on a CVC in July 2010 through 2013. RESULTS: At 1 year, 32.7% of 74,194 patients transitioned to an arteriovenous fistula, 10.8% transitioned to an arteriovenous graft, 32.1% stayed on a CVC, and 24.5% died. Women spent a significantly longer time on a CVC than men. Compared with white patients, patients who were black, Hispanic, or of another racial/ethnicity minority spent significantly more days on a CVC. In competing risk regression, women were significantly less likely than men to transition to a fistula and more likely to transition to a graft. Compared with white patients, blacks were significantly less likely to transition to a fistula but more likely to transition to a graft, Hispanics were significantly more likely to transition to a fistula, and other races/ethnicities were significantly more likely to transition to either a fistula or a graft. CONCLUSIONS: Female patients spend a longer time on a CVC and are less likely to transition to permanent access. Compared with white patients, minorities also spend longer time on a CVC, but are more likely to eventually transition to permanent access. Strategies to speed transition to permanent access should target groups that currently lag in this area.

Strategies for Delivering Value-Based Care: Do Care Management Practices Improve Hospital Performance?

EXECUTIVE SUMMARY: Value-based payment has the potential to rein in the volume incentive inherent in fee-for-service payment by holding providers accountable for the quality of patient care they deliver. Success under the new payment structure will depend on how effectively key organizational reforms are embraced by providers in the implementation of quality improvement processes for care delivery. This study examined the relationship between implementation of care management processes (CMPs, the specific tactics that enable the practice of value-based care) and hospital performance under value-based payment. Using the American Hospital Association's Survey of Care Systems and Payment and the Centers for Medicare & Medicaid Services' Hospital Compare, we estimated the relationship between hospital implementation of CMPs and performance as it relates to spending, patient satisfaction, readmission reduction, value-based purchasing, and clinical care outcomes. We found that hospitals increased implementation of CMPs from 2013 to 2014, which has led to modest changes in performance. We concluded that care coordination is associated with greater improvements in hospital performance. However, the long-term effects of resulting changes in care delivery may differ from the short-term effects. Thus, study findings underscore the importance of continued evaluation of care management practice as a strategy for optimizing delivery of high-quality, efficient patient care.

Prescription Drug Monitoring Program Mandates: Impact On Opioid Prescribing And Related Hospital Use.

Comprehensive mandates for prescription drug monitoring programs (PDMPs) require state-licensed prescribers and dispensers both to register with and to use the programs in most clinical circumstances. Such mandates have the potential to improve providers' participation and reduce opioid-related adverse events. Using Medicaid prescription data and hospital utilization data across the US in the period 2011-16, we found that state implementation of comprehensive PDMP mandates was associated with a reduction in the opioid prescription rate from 161.47 to 147.07 per 1,000 enrollees per quarter, a reduction in the opioid-related inpatient stay rate from 97.50 to 93.34 per 100,000 enrollees per quarter, and a reduction in the opioid-related emergency department (ED) visit rate from 74.60 to 61.36 per 100,000 enrollees per quarter. Our estimated annual reductions of approximately 12,000 inpatient stays and 39,000 ED visits could save over $155 million in Medicaid spending, a fact that deserves policy attention when states attempt to strengthen and refine PDMPs to better tackle the opioid crisis.

Trends in Treatment and Spending for Patients Receiving Outpatient Treatment of Depression in the United States, 1998-2015.

Context: After marked increases from 1987 to 1997, trends in depression treatment in the United States increased modestly from 1998 to 2007. However, multiple policy changes that expanded insurance coverage for mental health conditions may have shifted these trends again since 2007. Objective: To examine national trends in outpatient treatment of depression from 1998 to 2015, with particular focus on 2007 to 2015. Design, Setting, and Participants: This analysis of the use of health services and spending for treatment of depression in the United States assessed data from the 1998 (n = 22 953), 2007 (n = 29 370), and 2015 (n = 33 893) Medical Expenditure Panel Surveys (MEPSs). Participants included respondent households to the nationally representative survey. Data were analyzed from June 15 through December 18, 2018. Main Outcomes and Measures: Rates of outpatient and pharmaceutical treatment of depression; counts of outpatient visits, psychotherapy visits, and prescriptions; and expenditures. Results: The analysis included 86 216 individuals from the 1998, 2007, and 2015 MEPSs. Respondents' mean (SD) age was 37.2 (22.7) years; 45 086 (52.3%) were female, 24 312 (28.2%) were Hispanic, 15 463 (17.9%) were black, and 62 926 (72.9%) were white. Rates of outpatient treatment of depression increased from 2.36 (95% CI, 2.12-2.61) per 100 population in 1998 to 3.47 (95% CI, 3.16-3.79) per 100 population in 2015. The proportion of respondents who were treated for depression using psychotherapy decreased from 53.7% (95% CI, 48.3%-59.1%) in 1998 to 43.2% (95% CI, 39.0%-47.4%) in 2007 and then increased to 50.4% (95% CI, 46.0%-54.9%) in 2015, whereas the proportion receiving pharmacotherapy remained steady at 81.9% (95% CI, 77.9%-85.9%) in 1998, 82.4% (95% CI, 79.3%-85.4%) in 2007, and 80.8% (95% CI, 77.9%-83.7%) in 2015. After adjusting for inflation using 2015 US dollars, prescription expenditures for these individuals decreased from $848 (95% CI, $713-$984) per year in 1998 to $603 (95% CI, $484-$722) per year in 2015, whereas the mean number of prescriptions decreased from 7.64 (95% CI, 6.61-8.67) in 1998 to 7.03 (95% CI, 6.51-7.56) in 2015. National expenditures for outpatient treatment of depression increased from $12 430 000 000 in 1997 to $15 554 000 000 in 2007 and then to $17 404 000 000 in 2015, consistent with a slowing growth in national outpatient expenditures for depression. The percentage of this spending that came from self-pay (uninsured) individuals decreased from 32% in 1998 to 29% in 2007 and then to 20% in 2015. This decrease was largely associated with increasing Medicaid coverage, because the percentage of this spending covered was 19% in 1998, 15% in 2007, and 36% in 2015. Conclusions and Relevance: Recent policy changes that increased insurance coverage for depression may be associated with reduced uninsured burden and with modest increases in the prevalence of and overall spending for outpatient treatment of depression. The lower-than-expected rate of treatment suggests that substantial barriers remain to individuals receiving treatment for their depression.

The Effect of Medical Marijuana Laws on Marijuana-Related Attitude and Perception Among US Adolescents and Young Adults.

Marijuana liberalization policies are gaining momentum in the USA, coupled with limited federal interference and growing dispensary industry. This evolving regulatory landscape underscores the importance of understanding the attitudinal/perceptual pathways from marijuana policy to marijuana use behavior, especially for adolescents and young adults. Our study uses the restricted-access National Survey on Drug Use and Health (NSDUH) 2004-2012 data and a difference-in-differences design to compare the pre-policy, post-policy changes in marijuana-related attitude/perception between adolescents and young adults from ten states that implemented medical marijuana laws during the study period and those from the remaining states. We examined four attitudinal/perception pathways that may play a role in adolescent and young adult marijuana use behavior, including (1) perceived availability of marijuana, (2) perceived acceptance of marijuana use, (3) perceived wrongfulness of recreational marijuana use, and (4) perceived harmfulness of marijuana use. We found that state implementation of medical marijuana laws between 2004 and 2012 was associated with a 4.72% point increase (95% CI 0.15, 9.28) in the probability that young adults perceived no/low health risk related to marijuana use. Medical marijuana law implementation is also associated with a 0.37% point decrease (95% CI - 0.72, - 0.03) in the probability that adolescents perceived parental acceptance of marijuana use. As more states permit medical marijuana use, marijuana-related attitude/perception need to be closely monitored, especially perceived harmfulness. The physical and psychological effects of marijuana use should be carefully investigated and clearly conveyed to the public.

Association Between Patient Cognitive and Functional Status and Medicare Total Annual Cost of Care: Implications for Value-Based Payment.

Importance: Medicare is moving toward value-based payment. The Merit-Based Incentive Payment System (MIPS) program judges outpatient clinicians' performance on a measure of annual Medicare spending. However, this measure may disadvantage outpatient clinicians who care for vulnerable populations because the algorithm omits meaningful determinants of cost. Objectives: To determine whether factors not included in Medicare risk adjustment, including patient neuropsychological and functional status, as well as local area health resources and economic conditions, are associated with Medicare total annual cost of care (TACC), and evaluate whether accounting for these factors is associated with improved TACC performance by outpatient safety-net clinicians. Design, Setting, and Participants: In this retrospective observational study, we used the Medicare Current Beneficiary Survey (MCBS) to examine patient-reported neuropsychological and functional status and the Area Health Resources File to obtain information on local area characteristics. Included were Medicare beneficiaries with annual physician or clinic visits to outpatient safety-net (federally qualified health centers and rural health clinics) and non-safety-net clinics, contributing 76 927 person-years of data to the MCBS from 2006 through 2013. We used patient-level multivariable regression models to estimate the association between each factor and annual Medicare spending, and compared outpatient safety-net performance under current risk adjustment and after adding additional adjustment for these factors. Main Outcomes and Measures: Medicare TACC, measured as the total annual reimbursed amount per patient for Medicare Part A and Part B services, in all categories. Results: Our study included 111 414 unique identifiable physicians, and the final weighted sample included 213 904 324 patient-years (unweighted, 76 927 patient-years) from 30 058 unique patients, of whom 17 478 (58.1%) were women. The mean (SD) patient age was 71.84 (12.48) years. The mean TACC was $9117. Those with higher than mean TACC included beneficiaries with depression ($14 436), dementia ($18 311), and difficulty with 3 or more activities of daily living (ADLs, $19 113) or instrumental ADLs ($17 443). After adjusting for comorbidities, depression and dementia were still associated with $2740 (95% CI, $2200-$2739) and $2922 (95% CI, $2399-$3445) higher TACC, respectively. Difficulty with 3 or more ADLs ($3121 higher; 95% CI, $2633-$3609) or instrumental ADLs ($895 higher; 95% CI, $452-$1337) was also associated with higher TACC. Adding these neuropsychological and functional factors, as well as local residence area factors, to risk adjustment calculations reduced outpatient safety-net clinicians' underperformance on Medicare TACC relative to non-safety-net clinicians by 52% (from 0.098 to 0.047 difference in the observed to expected ratio). Conclusions and Relevance: Neuropsychological and functional impairment are common in Medicare beneficiaries and are associated with increased annual Medicare spending. Failure to account for these factors may inappropriately penalize outpatient clinicians who care for these vulnerable groups, such as safety-net clinicians, for factors that are arguably beyond their control.

Association of Medical and Adult-Use Marijuana Laws With Opioid Prescribing for Medicaid Enrollees.

Importance: Overprescribing of opioids is considered a major driving force behind the opioid epidemic in the United States. Marijuana is one of the potential nonopioid alternatives that can relieve pain at a relatively lower risk of addiction and virtually no risk of overdose. Marijuana liberalization, including medical and adult-use marijuana laws, has made marijuana available to more Americans. Objective: To examine the association of state implementation of medical and adult-use marijuana laws with opioid prescribing rates and spending among Medicaid enrollees. Design, Setting, and Participants: This cross-sectional study used a quasi-experimental difference-in-differences design comparing opioid prescribing trends between states that started to implement medical and adult-use marijuana laws between 2011 and 2016 and the remaining states. This population-based study across the United States included all Medicaid fee-for-service and managed care enrollees, a high-risk population for chronic pain, opioid use disorder, and opioid overdose. Exposures: State implementation of medical and adult-use marijuana laws from 2011 to 2016. Main Outcomes and Measures: Opioid prescribing rate, measured as the number of opioid prescriptions covered by Medicaid on a quarterly, per-1000-Medicaid-enrollee basis. Results: State implementation of medical marijuana laws was associated with a 5.88% lower rate of opioid prescribing (95% CI, -11.55% to approximately -0.21%). Moreover, the implementation of adult-use marijuana laws, which all occurred in states with existing medical marijuana laws, was associated with a 6.38% lower rate of opioid prescribing (95% CI, -12.20% to approximately -0.56%). Conclusions and Relevance: The potential of marijuana liberalization to reduce the use and consequences of prescription opioids among Medicaid enrollees deserves consideration during the policy discussions about marijuana reform and the opioid epidemic.