Self-Reported Hearing Loss Is Associated With Poorer Health Care Access, Delays, and Communication With Providers During the COVID-19 Pandemic: Findings From the Survey of the Health of Wisconsin COVID-19 Community Impact Survey.

PURPOSE: This article aimed to evaluate associations of self-reported hearing loss with health care access and delays and difficulties communicating with health care providers during the COVID-19 pandemic. METHOD: The COVID-19 Community Impact Survey was administered online to a sample of participants from the population-based Survey of the Health of Wisconsin study cohort in Spring 2021. Hearing loss was defined as self-reported fair or poor hearing. Difficulty with health care access and delays were defined as self-reporting needing but not getting medical care or self-reporting delays in appointments due to COVID-19, respectively. Poor communication with health care providers was defined as self-reported difficulties communicating with health care providers due to wearing a mask during the COVID-19 pandemic. Logistic regression models were used to evaluate associations between hearing loss and the health care outcomes. Results are presented as odds ratios (ORs) with 95% confidence intervals (95% CIs). First, models were adjusted for age and sex. Next, models were additionally adjusted for education, race/ethnicity, self-rated health, and number of chronic conditions. RESULTS: This study included 1,582 participants (62.3% women; 11.9% non-White; age range: 18-75+ years). The number of participants with hearing loss was 196 (12.4%). After multivariable adjustment, self-reported hearing loss was associated with poorer health care access (OR = 2.41, 95% CI [1.62, 3.59]), health care delays (OR = 1.93, 95% CI [1.37, 2.71]), and increased difficulty communicating with health care providers wearing face masks (OR = 3.31, 95% CI [2.15, 5.08]) during the COVID-19 pandemic. CONCLUSIONS: The impacts of the COVID-19 pandemic on difficulties accessing and using health care are likely exacerbated for individuals with hearing loss. There is a need for interventions that will optimize health care experiences for individuals with hearing loss, particularly when face masks and/or telecommunications are used to provide health care services.

Experienced Racism and Discrimination and Psychological Distress amid Different Phases of the COVID-19 Pandemic: Evidence from Wisconsin.

The SARS-COV-2 pandemic created an unprecedented crisis and raised concerns about racial discrimination and psychological distress. We assessed trends in COVID-19-related racism and discrimination irrespective of infection status and changes in emotional health and mental well-being outcomes due to experienced racism and discrimination. Using three waves of the Wisconsin COVID-19 Community Impact Survey (2020-2021), we compared demographics of respondents categorized by two mutually exclusive groups: reporting vs. not reporting COVID-19-related racism and discrimination. Using longitudinal logistic-multivariable regressions, we modeled changes in racism and discrimination-induced stress and 4-item patient health questionnaire screening for anxiety and depression (PHQ-4) associated with experiencing racism and discrimination. Prevalence of reported experiencing COVID-19-related racism and discrimination increased among adult Wisconsinites between 2020 and 2021: 6.28% in Wave 1, 11.13% in Wave 2 (Pearson's chi-square Wave 1 vs 2=16.96, p<.001) vs. 10.87% in Wave 3 (chi-square, Wave 1 vs 3=14.99, p<.001). Experiencing COVID-19-related racism and discrimination was associated with a higher likelihood stress (OR=3.15, 95% CI 2.32-4.29) and a higher PHQ-4 score (coeff=0.63, 95% CI 0.32-0.94). Relative to White respondents, racial/ethnic minorities had a higher likelihood of feeling stress: Black OR=7.13, 95% CI 4.68-10.85; Hispanics OR=3.81, 95% CI 2.11-6.89; and other races OR=2.61, 95% CI 1.51-4.53. Estimated associations varied across racial/ethnic groups, age groups, and survey waves. Our study showed that experienced COVID-19-related racism and discrimination increased during the first 2 years of the pandemic and was associated with greater psychological distress among Wisconsinites of all racial/ethnic groups. Public health policies promoting inclusiveness should be implemented to reduce (COVID-19-related) racism and discrimination and its long-term effects on mental health and well-being.

Patient selection in the presence of regulatory oversight based on healthcare report cards of providers: the case of organ transplantation.

Many healthcare report cards provide information to consumers but do not represent a constraint on the behavior of healthcare providers. This is not the case with the report cards utilized in kidney transplantation. These report cards became more salient and binding, with additional oversight, in 2007 under the Centers for Medicare and Medicaid Services Conditions of Participation. This research investigates whether the additional oversight based on report card outcomes influences patient selection via waiting-list registrations at transplant centers that meet regulatory standards. Using data from a national registry of kidney transplant candidates from 2003 through 2010, we apply a before-and-after estimation strategy that isolates the impact of a binding report card. A sorting equilibrium model is employed to account for center-level heterogeneity and the presence of congestion/agglomeration effects and the results are compared to a conditional logit specification. Our results indicate that patient waiting-list registrations change in response to the quality information similarly on average if there is additional regulation or not. We also find evidence of congestion effects when spatial choice sets are smaller: new patient registrations are less likely to occur at a center with a long waiting list when fewer options are available.

Estimates of ACO savings in the presence of provider and beneficiary selection.

BACKGROUND: Medicare's accountable care organizations (ACOs)-designed to improve quality and lower spending-were associated with growing savings in previous studies. However, savings estimates may be biased by beneficiary sorting among providers based on healthcare needs and by providers opting into the program based on anticipated gains. METHODS: Using Medicare administrative claims (2009-2014), we compared annual spending changes after provider organizations joined ACOs to changes in non-ACOs (controls). To address provider selection, using novel data to identify non-ACO organizations, we restricted controls to comparably large provider organizations. To address beneficiary selection, we (a) estimated within-organization (including non-ACO comparison organizations) spending changes, (b) estimated within-beneficiary spending changes, (c) incorporated beneficiaries without qualifying healthcare expenses, and (d) used a fixed beneficiary ACO assignment using the pre-ACO period. RESULTS: Each year, 19% of Medicare beneficiaries switched provider organizations. Spending was higher for switchers than stayers ($3163, p < .001) and grew more the next year ($2004; p < .001). Starting from a baseline regression modeled on previous ACO evaluations, estimated savings varied widely as we sequentially introduced methods to address selection. Combining methods, however, generated more stable estimated ACO savings of $46 (p = .022), averaged across cohorts. CONCLUSIONS: When implementing a comprehensive suite of methods to adjust for provider and beneficiary selection, we estimated ACO savings that grew over time. Our estimates are in line with, but smaller than, previous estimates in the literature. Implementing piecemeal adjustments produced misleading results. IMPLICATIONS: Our results confirm the importance of selection for savings estimates and for provider organizations managing costs and quality. Attribution rules that consider multiple years may help mitigate the impact of beneficiary churn for providers and payers. Implementing payment reform by randomizing early participants, or implementing fully across selected markets, may better serve efforts to evaluate and improve payment models. LEVEL OF EVIDENCE: Level 3.

Organizational integration, practice capabilities, and outcomes in clinically complex medicare beneficiaries.

OBJECTIVE: To assess the association between clinical integration and financial integration, quality-focused care delivery processes, and beneficiary utilization and outcomes. DATA SOURCES: Multiphysician practices in the 2017-2018 National Survey of Healthcare Organizations and Systems (response rate 47%) and 2017 Medicare claims data. STUDY DESIGN: Cross-sectional study of Medicare beneficiaries attributed to physician practices, focusing on two domains of integration: clinical (coordination of patient services, use of protocols, individual clinician measures, access to information) and financial (financial management and planning across operating units). We examined the association between integration domains, the adoption of quality-focused care delivery processes, beneficiary utilization and health-related outcomes, and price-adjusted spending using linear regression adjusting for practice and beneficiary characteristics, weighting to account for sampling and nonresponse. DATA COLLECTION/EXTRACTION METHODS: 1 604 580 fee-for-service Medicare beneficiaries aged 66 or older attributed to 2113 practices. Of these, 414 209 beneficiaries were considered clinically complex (frailty or 2 + chronic conditions). PRINCIPAL FINDINGS: Financial integration and clinical integration were weakly correlated (correlation coefficient = 0.19). Clinical integration was associated with significantly greater adoption of quality-focused care delivery processes, while financial integration was associated with lower adoption of these processes. Integration was not generally associated with reduced utilization or better beneficiary-level health-related outcomes, but both clinical integration and financial integration were associated with lower spending in both the complex and noncomplex cohorts: (clinical complex cohort: -$2518, [95% CI: -3324, -1712]; clinical noncomplex cohort: -$255 [95% CI: -413, -97]; financial complex cohort: -$997 [95% CI: -$1320, -$679]; and financial noncomplex cohort: -$143 [95% CI: -210, -$76]). CONCLUSIONS: Higher levels of financial integration were not associated with improved care delivery or with better health-related beneficiary outcomes. Nonfinancial forms of integration deserve greater attention, as practices scoring high in clinical integration are more likely to adopt quality-focused care delivery processes and have greater associated reductions in spending in complex patients.

Association of Organizational Factors and Physician Practices' Participation in Alternative Payment Models.

Importance: Consolidation among physician practices and between hospitals and physician practices has accelerated in the past decade, resulting in higher prices in commercial markets. The resulting integration of health care across clinicians and participation in alternative payment models (APMs), which aim to improve quality while constraining spending, are cited as reasons for consolidation, but little is known about the association between integration and APM participation. Objective: To examine the association of organizational characteristics, ownership, and integration with intensity of participation in APMs among physician practices. Design, Setting, and Participants: A cross-sectional descriptive study, adjusted for sampling and nonresponse weights, was conducted in US physician practice respondents to the National Survey of Healthcare Organizations and Systems conducted between June 16, 2017, and August 17, 2018; of 2333 responses received (response rate, 46.9%) and after exclusion of ineligible and incomplete responses, the number of practices included in the analysis was 2061. Data analysis was performed from April 1, 2019, to August 31, 2019. Exposures: Self-reported physician practice characteristics, including ownership, integration (clinical, cultural, financial, and functional), care delivery capabilities, activities, and environmental factors. Main Outcomes and Measures: Participation in APMs: (1) bundled payments, (2) comprehensive primary care and medical home programs, (3) pay-for-performance programs, (4) capitated contracts with commercial health plans, and (5) accountable care organization contracts. Results: A total of 49.2% of the 2061 practices included reported participating in 3 or more APMs; most participated in pay-for-performance and accountable care organization models. Covariate-adjusted analyses suggested that operating within a health care system (odds ratio [OR] for medical group: 2.35; 95% CI, 1.70-3.25; P < .001; simple health system: 1.46; 95% CI, 1.08-1.97; P = .02; and complex health system: 1.76; 95% CI, 1.25-2.47; P = .001 relative to independent practices), greater clinical (OR, 4.68; 95% CI, 2.28-9.59; P < .001) and functional (OR, 4.24; 95% CI, 2.00-8.97; P < .001) integration, and being located in the Northeast (OR for Midwest: 0.47; 95% CI, 0.34-0.65; P < .001; South: 0.47; 95% CI, 0.34-0.66; P < .001; and West: 0.64; 95% CI, 0.46-0.91; P = .01) were associated with greater APM participation. Conclusions and Relevance: Greater APM participation appears to be supported by integration and system ownership.

Association Between Care Management and Outcomes Among Patients With Complex Needs in Medicare Accountable Care Organizations.

Importance: People with complex needs account for a disproportionate amount of Medicare spending, partially because of fragmented care delivered across multiple practitioners and settings. Accountable care organization (ACO) contracts give practitioners incentives to improve care coordination to the extent that coordination initiatives reduce total spending or improve quality. Objective: To assess the association between ACO-reported care management and coordination activities and quality, utilization, spending, and health care system interactions in older adults with complex needs. Design, Setting, and Participants: In this cross-sectional study, survey information on care management and coordination processes from 244 Medicare Shared Savings Program ACOs in the 2017-2018 National Survey of ACOs (of 351 Medicare ACO respondents; response rate, 69%) conducted from July 20, 2017, to February 15, 2018, was linked to 2016 Medicare administrative claims data. Medicare beneficiaries 66 years or older who were defined as having complex needs because of frailty or 2 or more chronic conditions associated with high costs and clinical need were included. Exposures: Beneficiary attribution to ACO reporting comprehensive (top tertile) care management and coordination activities. Main Outcomes and Measures: All-cause prevention quality indicator admissions, 30-day all-cause readmissions, acute care and critical access hospital admissions, evaluation and management visits in ambulatory settings, inpatient days, emergency department visits, total spending, post-acute care spending, health care contact days, and continuity of care (from Medicare claims). Results: Among 1 402 582 Medicare beneficiaries with complex conditions, the mean (SD) age was 78 (8.0) years and 55.1% were female. Compared with beneficiaries assigned to ACOs in the bottom tertile of care management and coordination activities, those assigned to ACOs in the top tertile had identical median prevention quality indicator admissions and 30-day all-cause readmissions (0 per beneficiary across all tertiles), hospitalization and emergency department visits (1.0 per beneficiary in bottom and top tertiles), evaluation and management visits in ambulatory settings (14.0 per beneficiary [interquartile range (IQR), 8.0-21.0] in both tertiles), longer median inpatient days (11.0 [IQR, 4.0-33.0] vs 10.0 [IQR, 4.0-32.0]), higher median annual spending ($14 350 [IQR, $4876-$36 119] vs $14 229 [IQR, $4805-$36 268]), lower median health care contact days (28.0 [IQR, 17.0-44.0] vs 29.0 [IQR, 18.0-45.0]), and lower continuity-of-care index (0.12 [IQR, 0.08-0.20] vs 0.13 [IQR, 0.08-0.21]). Accounting for within-patient correlation, quality, utilization, and spending outcomes among patients with complex needs attributed to ACOs were not statistically different comparing the top vs bottom tertile of care management and coordination activities. Conclusions and Relevance: The ACO self-reports of care management and coordination capacity were not associated with differences in spending or measured outcomes for patients with complex needs. Future efforts to care for patients with complex needs should assess whether strategies found to be effective in other settings are being used, and if so, why they fail to meet expectations.

Quality-based ratings in Medicare and trends in kidney transplantation.

OBJECTIVE: To assess the relationship between the 2007 Medicare regulation enforcing quality standards for transplant centers and trends in kidney transplantation. DATA SOURCES: Transplant centers' biannual reports and the national registry for kidney transplantation from 2003 to 2010. STUDY DESIGN: Non-compliant (low-performing) centers were compared with centers in compliance with quality standards according to: number of transplants, waiting-list registrations, and rates of graft failures, transfers, and deaths. Multivariate regressions were estimated to evaluate the association between the regulation and transplantation outcomes. DATA EXTRACTION METHODS: Patient characteristics and outcomes were aggregated to six-month periods and linked to centers' reports. PRINCIPAL FINDINGS: Relative to average-performing centers, 12 percent of transplants shifted away from low-performing centers and high-performing centers captured 6 percent of this decline. Low-performing centers experienced a 2-percentage point per period decline in 1-year graft failure rates and a 15-percent decrease in registrations post-regulation, whereas high-performing centers incurred a 5-percent decrease in registrations relative to average-performing centers. CONCLUSIONS: Government oversight in kidney transplantation was associated with a small downward shift in overall kidney transplants. Reductions in graft failure rates at low-performing centers may imply an increase in quality or a decline in transplantation of either marginal organs or riskier patients; whereas reductions in registrations may indicate risk aversion toward high-risk patients. Policy makers should consider making less punitive requirements for programs, which employ new transplantation techniques to expand access.

Forgotten patients: ACO attribution omits those with low service use and the dying.

OBJECTIVES: Alternative payment models, such as accountable care organizations, hold provider groups accountable for an assigned patient population, but little is known about unassigned patients. We compared clinical and utilization profiles of patients attributable to a provider group with those of patients not attributable to any provider group. STUDY DESIGN: Cross-sectional study of 2012 Medicare fee-for-service beneficiaries 21 years and older. METHODS: We applied the Medicare Shared Savings Program attribution approach to assign beneficiaries to 2 mutually exclusive categories: attributable or unattributable. We compared attributable and unattributable beneficiaries according to demographics, dual eligibility for Medicaid, nursing home residency, clinical comorbidities, annual service utilization, annual spending, and 1- and 2-year mortality. We estimated multivariate regression models describing correlates of attribution status. RESULTS: Most beneficiaries (88%) were attributable to a provider group. The remaining 12% were unattributable. Beneficiaries unattributable to any provider group were more likely to be younger, male, and from a minority group; to have disability as the basis for enrollment; and to live in high-poverty areas. Unattributable beneficiaries included 3 distinct subgroups: nonusers of care, decedents, and those with healthcare service use but no qualifying evaluation and management visits. Many unattributable Medicare beneficiaries had minimal use of healthcare services, with the exception of a small subgroup of beneficiaries who died within the attribution year. CONCLUSIONS: Attribution approaches that more fully capture unattributable patients with low service use and patients near the end of life should be considered to reward population health efforts and improve end-of-life care.

Determinants of success in Shared Savings Programs: An analysis of ACO and market characteristics.

BACKGROUND: Medicare's Accountable Care Organization (ACO) programs introduced shared savings to traditional Medicare, which allow providers who reduce health care costs for their patients to retain a percentage of the savings they generate. OBJECTIVE: To examine ACO and market factors associated with superior financial performance in Medicare ACO programs. METHODS: We obtained financial performance data from the Centers for Medicare and Medicaid Services (CMS); we derived market-level characteristics from Medicare claims; and we collected ACO characteristics from the National Survey of ACOs for 215 ACOs. We examined the association between ACO financial performance and ACO provider composition, leadership structure, beneficiary characteristics, risk bearing experience, quality and process improvement capabilities, physician performance management, market competition, CMS-assigned financial benchmark, and ACO contract start date. We examined two outcomes from Medicare ACOs' first performance year: savings per Medicare beneficiary and earning shared savings payments (a dichotomous variable). RESULTS: When modeling the ACO ability to save and earn shared savings payments, we estimated positive regression coefficients for a greater proportion of primary care providers in the ACO, more practicing physicians on the governing board, physician leadership, active engagement in reducing hospital re-admissions, a greater proportion of disabled Medicare beneficiaries assigned to the ACO, financial incentives offered to physicians, a larger financial benchmark, and greater ACO market penetration. No characteristic of organizational structure was significantly associated with both outcomes of savings per beneficiary and likelihood of achieving shared savings. ACO prior experience with risk-bearing contracts was positively correlated with savings and significantly increased the likelihood of receiving shared savings payments. CONCLUSIONS: In the first year, performance is quite heterogeneous, yet organizational structure does not consistently predict performance. Organizations with large financial benchmarks at baseline have greater opportunities to achieve savings. Findings on prior risk bearing suggest that ACOs learn over time under risk-bearing contracts. IMPLICATIONS: Given the lack of predictive power for organizational characteristics, CMS should continue to encourage diversity in organizational structures for ACO participants, and provide alternative funding and risk bearing mechanisms to continue to allow a diverse group of organizations to participate. LEVEL OF EVIDENCE: III.

Effectiveness of weight loss intervention in highly-motivated people.

A variety of approaches have been implemented to address the rising obesity epidemic, with limited success. I consider the success of weight loss efforts among a group of highly motivated people: those required to lose weight in order to qualify for a life-saving kidney transplantation. Out of 246 transplantation centers, I identified 156 (63%) with explicit body mass index (BMI) requirements for transplantation, ranging from 30 to 50kg/m2. Using the United States national registry of transplant candidates, I examine outcomes for 29,608 obese deceased-donor transplant recipients between 1990 and 2010. I use value-added models to deal with potential endogeneity of center choice, in addition to correcting for sample selection bias arising from focusing on transplant recipients. Outcome variables measure BMI level and weight change (in BMI) between initial listing and transplantation. I hypothesize that those requiring weight loss to qualify for kidney transplantation will be most likely to lose weight. I find that the probability of severe and morbid obesity (BMI≥35kg/m2) decreases by 4 percentage points and the probability of patients achieving any weight loss increases by 22 percentage points at centers with explicit BMI eligibility criteria. Patients are also 13 percentage points more likely to accomplish clinically relevant weight loss of at least 5% of baseline BMI by transplantation at these centers. Nonetheless, I estimate an average decrease in BMI of only 1.7kg/m2 for those registered at centers with BMI requirements. Further analyses suggest stronger intervention effects for patients whose BMI at listing exceeds thresholds as the distance from their BMI to the thresholds increases. Even under circumstances with great potential returns for weight loss, transplant candidates exhibit modest weight-loss. This suggests that, even in high-stakes environments, weight loss remains a challenge for the obese, and altering individual incentives may not be sufficient.