Systematic review and meta-analysis of patient race/ethnicity, socioeconomics, and quality for adult type 2 diabetes.

OBJECTIVE: To review the evidence of the association between performance in eight indicators of diabetes care and a patient's race/ethnicity and socioeconomic characteristics. DATA SOURCE: Studies of adult patients with type 2 diabetes in MEDLINE published between January 1, 2000, and December 31, 2018. STUDY DESIGN: Systematic review and meta-analysis of regression-based studies including race/ethnicity and income or education as explanatory variables. Meta-analysis was used to quantify differences in performance associated with patient race/ethnicity or socioeconomic characteristics. The systematic review was used to identify potential mechanisms of disparities. DATA COLLECTION: Two coauthors separately conducted abstract screening, study exclusions, data extraction, and scoring of retained studies. Estimates in retained studies were extracted and, where applicable, were standardized and converted to odds ratios and standard errors. PRINCIPAL FINDINGS: Performance in intermediate outcomes and process measures frequently exhibited differences by race/ethnicity even after adjustment for socioeconomic, lifestyle, and health factors. Meta-analyses showed black patients had lower odds of HbA1c and blood pressure (BP) control (OR range: 0.67-0.68, P < .05) but higher odds of receiving eye or foot examination (OR range: 1.22-1.47, P < .05) relative to white patients. A high school degree or more was associated with higher odds of HbA1c control and receipt of eye examinations compared to patients without a degree. Meta-analyses of income included a handful of studies and were inconsistently associated with diabetes care performance. Differences in diabetes performance appear to be related to access-related factors such as uninsurance or lacking a usual source of care; food insecurity and trade-offs at very low incomes; and lower adherence among younger and healthier diabetes patients. CONCLUSIONS: Patient race/ethnicity and education were associated with differences in diabetes quality measures. Depending on the approach used to rate providers, not adjusting for these patient characteristics may penalize or reward providers based on the populations they serve.

Barriers and facilitators to depression screening in older adults: a qualitative study.

Objectives: The objective of this qualitative study was to better understand facilitators and barriers to depression screening for older adults.Methods: We conducted 43 focus groups with 102 providers and 247 beneficiaries or proxies: 13 focus groups with Medicare providers, 28 with older Medicare beneficiaries, and 2 with caregivers of older Medicare beneficiaries. Each focus group was recorded, transcribed, and analyzed using principles of grounded theory.Results: There was widespread consensus among beneficiary and provider focus group participants that depression screening was important. However, several barriers interfered with effective depression screening, including stigma, lack of resources for treatment referrals, and lack of time during medical encounters. Positive communication with providers and an established relationship with a trusted provider were primary facilitators for depression screening. Providers who took the time to put their beneficiaries at ease and used conversational language rather than clinical terms appeared to have the most success in eliciting beneficiary honesty about depressive symptoms. Respondents stressed the need for providers to be attentive, concerned, non-judgmental, and respectful.Conclusion: Findings indicate that using person-centered approaches to build positive communication and trust between beneficiaries and providers could be an effective strategy for improving depression screening. Better screening can lead to higher rates of diagnosis and treatment of depression that could enhance quality of life for older adults.

Hospital utilization and expenditures among a nationally representative sample of Medicare fee-for-service beneficiaries 2 years after receipt of an Annual Wellness Visit.

Medicare's Annual Wellness Visit (AWV) provides an opportunity to link beneficiaries to cancer screenings and immunizations, however, research has not examined its effectiveness. The aim of this study was to examine the effect of receiving an AWV on outcomes while accounting for the healthy user effect. This study used 2013-2017 Medicare claims data to compare hospital utilization and total expenditures among a 5% random sample of Medicare fee-for-service (FFS) beneficiaries with and without AWV use in 2014 (228,053 AWV users were propensity-score matched to 228,053 nonusers). Linear fixed effects regression models examined differences in study outcomes 12 and 24 months after AWV use, controlling for baseline differences in sociodemographics, health status, utilization, and accountable care organization attribution. The proportion of Medicare FFS beneficiaries that used the AWV increased from 13% in 2013 to 24% in 2017. Users of the AWV had a marginally significant reduction in Medicare spending 12 months (-$122, 95% CI -$256, $11, p = 0.073) and significant reductions (-$162, 95% CI, -$310, -$14, p = 0.032) 24 months after the visit, relative to non-users. However it remains unclear what is driving these savings as there was no change in hospital-related utilization and results may still be biased due to inherent differences between users and non-users. The AWV provides an opportunity for providers to focus on prevention and geriatric needs not covered in typical office visits. Practices adopting AWVs have noted increased revenue, more stable patient populations, and stronger provider-patient relationships. While utilization remains low, it is steadily increasing over time.

States Encouraging Value-Based Payment: Lessons From CMS's State Innovation Models Initiative.

Policy Points Six states received $250 million under the federal State Innovation Models (SIM) Initiative Round 1 to increase the proportion of care delivered under value-based payment (VBP) models aligned across multiple payers. Multipayer alignment around a common VBP model occurred within the context of state regulatory and purchasing policies and in states with few commercial payers, not through engaging many stakeholders to act voluntarily. States that made targeted infrastructure investments in performance data and electronic hospital event notifications, and offered grants and technical assistance to providers, produced delivery system changes to enhance care coordination even where VBP models were not multipayer. CONTEXT: In 2013, six states (Arkansas, Massachusetts, Maine, Minnesota, Oregon, and Vermont) received $250 million in Round 1 State Innovation Models (SIM) awards to test how regulatory, policy, purchasing, and other levers available to state governments could transform their health care system by implementing value-based payment (VBP) models that shift away from fee-for-service toward payment based on quality and cost. METHODS: We gathered and analyzed qualitative data on states' implementation of their SIM Initiatives between 2014 and 2018, including interviews with state officials and other stakeholders; consumer and provider focus groups; and review of relevant state-produced documents. FINDINGS: State policymakers leveraged existing state law, new policy development, and federal SIM Initiative funds to implement new VBP models in Medicaid. States' investments promoted electronic health information going from hospitals to primary care providers and collaboration across care team members within practices to enhance care coordination. Multipayer alignment occurred where there were few commercial insurers in a state, or where a state law or state contracting compelled commercial insurer participation. Challenges to health system change included commercial payer reluctance to coordinate on VBP models, cost and policy barriers to establishing bidirectional data exchange among all providers, preexisting quality measurement requirements across payers that impede total alignment of measures, providers' perception of their limited ability to influence patients' behavior that puts them at financial risk, and consumer concerns with changes in care delivery. CONCLUSIONS: The SIM Initiative's test of the power of state governments to shape health care policy demonstrated that strong state regulatory and purchasing policy levers make a difference in multipayer alignment around VBP models. In contrast, targeted financial investments in health information technology, data analytics, technical assistance, and workforce development are more effective than policy alone in encouraging care delivery change beyond that which VBP model participation might manifest.

Medicaid Accountable Care Organizations in Four States: Implementation and Early Impacts.

Policy Points Maine, Massachusetts, Minnesota, and Vermont leveraged State Innovation Model awards to implement Medicaid accountable care organizations (ACOs). Flexibility in model design, ability to build on existing reforms, provision of technical assistance to providers, and access to feedback data all facilitated ACO development. Challenges included sustainability of transformation efforts and the integration of health care and social service providers. Early estimates showed promising improvements in hospital-related utilization and Vermont was able to reduce or slow the growth of Medicaid costs. These states are sustaining Medicaid ACOs owing in part to provider support and early successes in generating shared savings. The states are modifying their ACOs to include greater accountability and financial risk. CONTEXT: As state Medicaid programs consider alternative payment models (APMs), many are choosing accountable care organizations (ACOs) as a way to improve health outcomes, coordinate care, and reduce expenditures. Four states (Maine, Massachusetts, Minnesota, and Vermont) leveraged State Innovation Model awards to create or expand Medicaid ACOs. METHODS: We used a mixed-methods design to assess achievements and challenges with ACO implementation and the impact of Medicaid ACOs on health care utilization, quality, and expenditures in three states. We integrated findings from key informant interviews, focus groups, document review, and difference-in-difference analyses using data from Medicaid claims and an all-payer claims database. FINDINGS: States built their Medicaid ACOs on existing health care reforms and infrastructure. Facilitators of implementation included allowing flexibility in design and implementation, targeting technical assistance, and making clinical, cost, and use data readily available to providers. Barriers included provider concerns about their ability to influence patient behavior, sustainability of provider practice transformation efforts when shared savings are reinvested into the health system and not shared with participating clinicians, and limited integration between health care and social service providers. Medicaid ACOs were associated with some improvements in use, quality, and expenditures, including statistically significant reductions in emergency department visits. Only Vermont's ACO demonstrated slower growth in total Medicaid expenditures. CONCLUSIONS: Four states demonstrated that adoption of ACOs for Medicaid beneficiaries was both possible and, for three states, associated with some improvements in care. States revised these models over time to address stakeholder concerns, increase provider participation, and enable some providers to accept financial risk for Medicaid patients. Lessons learned from these early efforts can inform the design and implementation of APMs in other Medicaid programs.

How Much Does Medication Nonadherence Cost the Medicare Fee-for-Service Program?

BACKGROUND: Medication adherence is associated with lower health care utilization and savings in specific patient populations; however, few empirical estimates exist at the population level. OBJECTIVE: The main objective of this study was to apply a data-driven approach to obtain population-level estimates of the impact of medication nonadherence among Medicare beneficiaries with chronic conditions. RESEARCH DESIGN: Medicare fee-for-service (FFS) claims data were used to calculate the prevalence of medication nonadherence among individuals with diabetes, heart failure, hypertension, and hyperlipidemia. Per person estimates of avoidable health care utilization and spending associated with medication adherence, adjusted for healthy adherer effects, from prior literature were applied to the number of nonadherent Medicare beneficiaries. SUBJECTS: A 20% random sample of community-dwelling, continuously enrolled Medicare FFS beneficiaries aged 65 years or older with Part D (N=14,657,735) in 2013. MEASURES: Avoidable health care costs and hospital use from medication nonadherence. RESULTS: Medication nonadherence for diabetes, heart failure, hyperlipidemia, and hypertension resulted in billions of Medicare FFS expenditures, millions in hospital days, and thousands of emergency department visits that could have been avoided. If the 25% of beneficiaries with hypertension who were nonadherent became adherent, Medicare could save $13.7 billion annually, with over 100,000 emergency department visits and 7 million inpatient hospital days that could be averted. CONCLUSION: Medication nonadherence places a large resource burden on the Medicare FFS program. Study results provide actionable information for policymakers considering programs to manage chronic conditions. Caution should be used in summing estimates across disease groups, assuming all nonadherent beneficiaries could become adherent, and applying estimates beyond the Medicare FFS population.

Facilitators and barriers to optimal preventive service use among providers and older patients.

Preventive service use remains low among Medicare beneficiaries despite the Affordable Care Act's waiver of coinsurance. This study sought to understand barriers and facilitators to preventive service provision, access, and uptake. We used a mixed methods approach synthesizing quantitative survey and qualitative focus group data. Self-reported utilization of and factors related to preventive services were explored using quantitative data from the 2012 Medicare Current Beneficiary Survey. Qualitative data from 16 focus groups conducted in 2016 with a range of providers, health advocates, and Medicare beneficiaries explored perspectives on preventive service use. Providers indicated time and competing priorities as factors for not offering patients a full range of preventive services, while beneficiaries reported barriers related to knowledge, perception, and trust. Current healthcare reform efforts incorporating team-based care, nurses and other non-physician providers, and coordinated electronic health records could support enhanced use of preventive services if fully implemented and utilized.

The Impact of Enhanced Critical Care Training and 24/7 (Tele-ICU) Support on Medicare Spending and Postdischarge Utilization Patterns.

OBJECTIVE: To estimate the effect of implementing a tele-ICU and a critical care residency training program for advanced practice providers on service utilization and total Medicare episode spending. DATA SOURCES/STUDY SETTINGS: Medicare claims data for fee-for-service beneficiaries at 12 large, inpatient hospitals in the Atlanta Hospital Referral Region. STUDY DESIGN: Difference-in-differences design where changes in spending and utilization for Medicare beneficiaries eligible for treatment in participating ICUs was compared to changes in a comparison group of clinically similar beneficiaries treated at similar hospitals' ICUs in the same hospital referral region. EXTRACTION METHODS: Using Medicare claims data from January 2010 through June 2015, we defined measures of Medicare episode spending during the ICU stay and subsequent 60 days after discharge, and utilization measures within 30 and 60 days after discharge. PRINCIPAL FINDINGS: Implementation of the advanced practice provider residency program and tele-ICU was associated with a significant reduction in average Medicare spending per episode, primarily driven by reduced readmissions within 60 days and substitution of home health care for institutional postacute care. CONCLUSIONS: Innovations in workforce training and technology specific to the ICU may be useful in addressing the shortage of intensivist physicians, yielding benefits to patients and payers.

Use of Welcome to Medicare Visits Among Older Adults Following the Affordable Care Act.

INTRODUCTION: To encourage greater utilization of preventive services among Medicare beneficiaries, the 2010 Affordable Care Act waived coinsurance for the Welcome to Medicare visit, making this benefit free starting in 2011. The objective of this study was to determine the impact of the Affordable Care Act on Welcome to Medicare visit utilization. METHODS: A 5% sample of newly enrolled fee-for-service Medicare beneficiaries for 2005-2016 was used to estimate changes in Welcome to Medicare visit use over time. An interrupted time series model examined whether Welcome to Medicare visits increased significantly after 2011, controlling for pre-intervention trends and other autocorrelation. RESULTS: Annual Welcome to Medicare visit rates began at 1.4% in 2005 and increased to 12.3% by 2016. The quarterly Welcome to Medicare visit rate, which was almost 1% at baseline, was increasing by 0.06% before the 2011 Affordable Care Act provision (p<0.001). Immediately following the 2011 Affordable Care Act provision, the rate increased by about 1% in the first quarter of 2011 (intercept, p<0.001), followed by an increase of 0.13% every subsequent quarter (slope, p<0.001). This general trend was observed in subgroup analyses, although this trend varied by subgroups where the pre-Affordable Care Act trends of lower utilization persisted over time for non-whites and improved less quickly for men, regions other than Northeast, and beneficiaries without any supplemental insurance. CONCLUSIONS: The Affordable Care Act, and perhaps the removal of cost sharing, was associated with increased use of the Welcome to Medicare visit; however, even with the increased use, there is room for improvement.

One-Year Outcomes of Diabetes Self-Management Training Among Medicare Beneficiaries Newly Diagnosed With Diabetes.

BACKGROUND: Diabetes is highly prevalent among Medicare beneficiaries, resulting in costly health care utilization. Strategies to improve health outcomes, such as disease self-management, could help reduce the increasing burden of diabetes. OBJECTIVES: Short-term benefits of diabetes self-management training (DSMT) are established; however, longer-term impacts among Medicare beneficiaries are unknown. RESEARCH DESIGN: Claims-based observational study with 1-year follow-up beginning 6 months after diabetes diagnosis. SUBJECTS: Twenty percent random sample of Medicare beneficiaries newly diagnosed with diabetes during 2009-2011 who used DSMT (N=14,680), matched to a nonuser comparison group. MEASURES: We compared health service utilization and costs between DSMT users and nonusers. Health service utilization included any utilization of the hospital or emergency department (ED) and any hospitalizations due to diabetes-related ambulatory care sensitive conditions as well as the number of hospitalizations and ED visits within the follow-up year. Costs included all Medicare Parts A and B expenditures. RESULTS: Multivariate regression results found that DSMT users had 14% reduced odds of any hospitalization, lower numbers of hospitalizations and ED visits (approximately 3 fewer per 100 for each), and approximately $830 lower Medicare expenditures (95% CI, -$1198, -$470) compared with nonusers. Odds of any hospitalization due to diabetes-related ambulatory care sensitive conditions and any ED visit were lower for DSMT users compared with nonusers, but the reductions were not statistically significant. CONCLUSIONS: Findings demonstrate benefits from DSMT use, including lower health service utilization and costs. The low cost of DSMT relative to the reduction in Medicare expenditures highlights an opportunity to reduce the burden of diabetes on both individuals and the health care system.

Use of Medicare's Diabetes Self-Management Training Benefit.

Medicare began reimbursing for outpatient diabetes self-management training (DSMT) in 2000; however, little is known about program utilization. Individuals diagnosed with diabetes in 2010 were identified from a 20% random selection of the Medicare fee-for-service population (N = 110,064). Medicare administrative and claims files were used to determine DSMT utilization. Multivariate logistic regression analyses evaluated the association of demographic, health status, and provider availability factors with DSMT utilization. Approximately 5% of Medicare beneficiaries with newly diagnosed diabetes used DSMT services. The adjusted odds of any utilization were lower among men compared with women, older individuals compared with younger, non-Whites compared with Whites, people dually eligible for Medicare and Medicaid compared with nondual eligibles, and patients with comorbidities compared with individuals without those conditions. Additionally, the adjusted odds of utilizing DSMT increased as the availability of providers who offered DSMT services increased and varied by Census region. Utilization of DSMT among Medicare beneficiaries with newly diagnosed diabetes is low. There appear to be marked disparities in access to DSMT by demographic and health status factors and availability of DSMT providers. In light of the increasing prevalence of diabetes, future research should identify barriers to DSMT access, describe DSMT providers, and explore the impact of DSMT services. With preventive services being increasingly covered by insurers, the low utilization of DSMT, a preventive service benefit that has existed for almost 15 years, highlights the challenges that may be encountered to achieve widespread dissemination and uptake of the new services.

Validity of a Claims-Based Diagnosis of Obesity Among Medicare Beneficiaries.

Population-level data on obesity are difficult to obtain. Claims-based data sets are useful for studying public health at a population level but lack physical measurements. The objective of this study was to determine the validity of a claims-based measure of obesity compared to obesity diagnosed with clinical data as well as the validity among older adults who suffer from chronic disease. This study used data from the National Health and Nutrition Examination Survey 1999-2004 for adults aged ≥ 65 successfully linked to 1999-2007 Medicare claims (N = 3,554). Sensitivity, specificity, positive and negative predictive values, κ statistics as well as logistic regression analyses were computed for the claims-based diagnosis of obesity versus obesity diagnosed with body mass index. The claims-based diagnosis of obesity underestimates the true prevalence in the older Medicare population with a low sensitivity (18.4%). However, this method has a high specificity (97.3%) and is accurate when it is present. Sensitivity was improved when comparing the claim-based diagnosis to Class II obesity (34.2%) and when used in combination with chronic conditions such as diabetes, congestive heart failure, chronic obstructive pulmonary disease, or depression. Understanding the validity of a claims-based obesity diagnosis could aid researchers in understanding the feasibility of conducting research on obesity using claims data.

Body mass index is positively associated with bone mineral density in US older adults.

UNLABELLED: Literature has been conflicting as to whether obesity is protective against osteoporosis. Understanding the relationship is particularly important in light of the increasing prevalence of obesity among older adults. Study results confirm a protective association between obesity and osteoporosis in a recent, nationally representative sample of US older adults. PURPOSE: Currently, the majority of US older adults are either overweight or obese. Evidence regarding the relationship between body composition measures and bone mass is conflicting, possibly because different measures of obesity reflect multiple mechanisms. Additionally, there are important age, gender, and racial differences in a risk of osteoporosis and fat mass composition. The objective of this study was to examine the association between body mass index (BMI) and bone mineral density (BMD) in a recent, nationally representative sample of US older adults as well as to see if this relationship differs by age, sex, and race. METHODS: Data for this study were obtained from the National Health and Nutrition Examination Survey (2005-2008) for adults ages 50 and older (n = 3,296). Linear regression models were used to predict BMD of the femoral neck (measured by dual-energy X-ray absorptiometry (DXA)) as a function of BMI (measured height and weight) and a range of study covariates. RESULTS: Every unit increase in BMI was associated with an increase of 0.0082 g/cm(2) in BMD (p < 0.001). Interaction terms for BMI and age (p = 0.345), BMI and sex (p = 0.413), and BMI and race (p = 0.725) were not statistically significant. CONCLUSIONS: Study results confirm the positive association between BMI and BMD, and this relationship does not differ by age, sex, or race. A 10-unit increase in BMI (e.g., from normal BMI to obese) would result in moving an individual from an osteoporotic BMD level to a normal BMD level. Results demonstrate a protective, cross-sectional association between obesity and osteoporosis in a recent sample of US older adults.

The relationship between the low-income subsidy and cost-related nonadherence to drug therapies in Medicare Part D.

OBJECTIVES: To examine the relationship between receiving the Medicare Part D low-income subsidy (LIS) and cost-related medication nonadherence (CRN). DESIGN: Cross-sectional. SETTING: Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey collected in spring 2007. PARTICIPANTS: Part D-enrolled Medicare beneficiaries who responded to the CAHPS survey. MEASUREMENTS: Respondents were categorized into three LIS groups: deemed LIS (Medicare and Medicaid dual-eligible and individuals receiving Supplemental Security Income), LIS applicants (other low-income individuals who applied for and received LIS), and non-LIS. Adjusted logistic models were used to assess the likelihood of CRN according to LIS status. Sample weights were applied in all analyses to account for complex sampling design. RESULTS: Of 171,573 Part D-enrolled respondents (weighted N = 14,572,827; response rate 48%), 17.2% reported CRN. Specifically, 14.7% of non-LIS respondents, 22.2% of deemed-LIS respondents, and 24.0% of LIS applicants reported CRN. LIS groups had higher unadjusted odds of CRN than the non-LIS respondents, but fully adjusted odds of CRN were lower in the deemed-LIS (adjusted odds ratio = 0.66, 95% confidence interval = 0.59, 0.74) than the LIS applicants or the non-LIS respondents. Subgroup analyses revealed that sociodemographic and health-related characteristics were associated with higher CRN in all three groups. CONCLUSION: The lower adjusted odds of CRN in deemed-LIS is reassuring, suggesting that autoenrollment provides meaningful assistance in removing cost-related barriers to medication use, but certain sociodemographic characteristics were associated with higher odds of CRN. Efforts to improving outreach to these subgroups and tracking of CRN are warranted.

Simulated value-based insurance design applied to statin use by Medicare beneficiaries with diabetes.

OBJECTIVE: To examine cost responsiveness and total costs associated with a simulated "value-based" insurance design for statin therapy in a Medicare population with diabetes. METHODS: Four-year panels were constructed from the 1997-2005 Medicare Current Beneficiary Survey selected by self-report or claims-based diagnoses of diabetes in year 1 and use of statins in year 2 (N = 899). We computed the number of 30-day statin prescription fills, out-of-pocket and third-party drug costs, and Medicare Part A and Part B spending. Multivariate ordinary least squares regression models predicted statin fills as a function of out-of-pocket costs, and a generalized linear model with log link predicted Medicare spending as a function of number of fills, controlling for baseline characteristics. Estimated coefficients were used to simulate changes in fills associated with co-payment caps from $25 to $1 and to compute changes in third-party payments and Medicare cost offsets associated with incremental fills. Analyses were stratified by patient cardiovascular event risk. RESULTS: A simulated out-of-pocket price of $25 [$1] increased plan drug spending by $340 [$794] and generated Medicare Part A/B savings of $262 [$531]; savings for high-risk patients were $558 [$1193], generating a net saving of $249 [$415]. CONCLUSIONS: Reducing statin co-payments for Medicare beneficiaries with diabetes resulted in modestly increased use and reduced medical spending. The value-based insurance design simulation strategy met financial feasibility criteria but only for higher-risk patients.

Increased persistency in medication use by U.S. Medicare beneficiaries with diabetes is associated with lower hospitalization rates and cost savings.

OBJECTIVE: To assess the relationship between annual fills for antidiabetes medications, ACE inhibitors, angiotensin II receptor blockers (ARBs), and lipid-lowering agents on hospitalization and Medicare spending for beneficiaries with diabetes. RESEARCH DESIGN AND METHODS: Using Medicare Current Beneficiary Survey data from 1997 to 2004, we identified 7,441 community-dwelling beneficiaries with diabetes, who contributed 14,317 person-years of data for the analysis. We used multivariate regression analysis to estimate the effect of persistency in medication fills on hospitalization risk, hospital days, and Medicare spending. RESULTS: For users of older oral antidiabetes agents, ACE inhibitors, ARBs, and statins, each additional prescription fill was associated with significantly lower risk of hospitalization, fewer hospital days, and lower Medicare spending. CONCLUSIONS: These results suggest an economic case for promoting greater persistency in use of drugs with approved indications by Medicare beneficiaries with diabetes; however, additional research is needed to corroborate the study's cross-sectional findings.