Healthcare utilization and costs among high-need and frail Mexican American Medicare beneficiaries.

OBJECTIVES: To examine Medicare health care spending and health services utilization among high-need population segments in older Mexican Americans, and to examine the association of frailty on health care spending and utilization. METHODS: Retrospective cohort study of the innovative linkage of Medicare data with the Hispanic Established Populations for the Epidemiologic Study of the Elderly (H-EPESE) were used. There were 863 participants, which contributed 1,629 person years of information. Frailty, cognition, and social risk factors were identified from the H-EPESE, and chronic conditions were identified from the Medicare file. The Cost and Use file was used to calculate four categories of Medicare spending on: hospital services, physician services, post-acute care services, and other services. Generalized estimating equations (GEE) with a log link gamma distribution and first order autoregressive, correlation matrix was used to estimate cost ratios (CR) of population segments, and GEE with a logit link binomial distribution was applied to estimate odds ratios (OR) of healthcare use. RESULTS: Participants in the major complex chronic illness segment who were also pre-frail or frail had higher total costs and utilization compared to the healthy segment. The CR for total Medicare spending was 3.05 (95% CI, 2.48-3.75). Similarly, this group had higher odds of being classified in the high-cost category 5.86 (95% CI, 3.35-10.25), nursing home care utilization 11.32 (95% CI, 3.88-33.02), hospitalizations 4.12 (95% CI, 2.88-5.90) and emergency room admissions 4.24 (95% CI, 3.04-5.91). DISCUSSION: Our findings highlight that frailty assessment is an important consideration when identifying high-need and high-cost patients.

The Impact of the COVID-19 Epidemic on Older Adults in Rural and Urban Areas in Mexico.

OBJECTIVES: Mexico is among the countries in Latin America hit hardest by coronavirus disease 2019 (COVID-19). A large proportion of older adults in Mexico have high prevalence of multimorbidity and live in poverty with limited access to health care services. These statistics are even higher among adults living in rural areas, which suggest that older adults in rural communities may be more susceptible to COVID-19. The objectives of the article were to compare clinical and demographic characteristics for people diagnosed with COVID-19 by age group, and to describe cases and mortality in rural and urban communities. METHOD: We linked publicly available data from the Mexican Ministry of Health and the Census. Municipalities were classified based on population as rural (<2,500), semirural (≥2,500 and <15,000), semiurban (≥15,000 and <100,000), and urban (≥100,000). Zero-inflated negative binomial models were performed to calculate the total number of COVID-19 cases, and deaths per 1,000,000 persons using the population of each municipality as a denominator. RESULTS: Older adults were more likely to be hospitalized and reported severe cases, with higher mortality rates. In addition, rural municipalities reported a higher number of COVID-19 cases and mortality related to COVID-19 per million than urban municipalities. The adjusted absolute difference in COVID-19 cases was 912.7 per million (95% confidence interval [CI]: 79.0-1746.4) and mortality related to COVID-19 was 390.6 per million (95% CI: 204.5-576.7). DISCUSSION: Urgent policy efforts are needed to mandate the use of face masks, encourage handwashing, and improve specialty care for Mexicans in rural areas.

Posthospital Nursing Home Utilization and Quality Indicators Among Medicare Beneficiaries in Puerto Rico: Comparison With the United States.

OBJECTIVES: The purpose of the study is to contribute to the literature regarding post-acute nursing home utilization and quality indicators among Medicare beneficiaries in Puerto Rico compared with the US mainland. DESIGN: Medicare data from 2015 to 2017 was used to identify new discharges to skilled nursing facilities (SNFs) using the Minimum Data Set and the Medicare Provider Analysis and Review. SETTING AND PARTICIPANTS: Post-acute care patients admitted to SNFs in Puerto Rico and the United States. METHODS: Our final cohort included 4,732,222 beneficiaries from Puerto Rico and the United States enrolled in Medicare fee-for-service or Medicare Advantage programs admitted to an SNF (N = 15,197) following an acute hospital stay. We compared demographic, clinical, and facility-level characteristics among patients in Puerto Rico and the United States. We also described 2 quality indicators among these groups: (1) 30-day rehospitalization rates and (2) successful discharge from the facility to the community. RESULTS: Medicare patients in Puerto Rico were physically and cognitively healthier than patients in the United States. Puerto Ricans were also more likely to be admitted to lower quality nursing homes than US patients (2.5 vs 3.4). Finally, Puerto Ricans had higher rates of successful discharge to the community [17.6, 95% confidence interval (CI) 13.0-22.3], but higher 30-day rehospitalization rates compared with US patients (11.2, 95% CI 6.2-16.3). These differences were consistent even when comparing these quality outcomes among Puerto Ricans to US Hispanics only. CONCLUSIONS AND IMPLICATIONS: SNFs in the United States and Puerto Rico are now receiving financial penalties for high readmission rates. Currently, Medicare does not measure readmission rates for Medicare Advantage patients-even though some states, including Puerto Rico, have a high proportion of Medicare Advantage beneficiaries. As Medicare Advantage enrollment continues to increase, our results highlight the importance of measuring performance among Medicare Advantage patients and assessing disparities in quality of post-acute care among patients in Puerto Rico and the United States.

Assessment of Racial Disparities in Mortality Rates Among Older Adults Living in US Rural vs Urban Counties From 1968 to 2016.

Importance: Population-based mortality rates are important indicators of overall health status. Mortality rates may reflect underlying disparities in access to health care, quality of care, racial and geographical variations, and other socioeconomic factors associated with health. However, there is limited information on historical trends in mortality rates between older Black and White adults living in urban compared with rural communities. Objective: To examine historical trends of mortality rates among White adults compared with Black adults and among rural residents compared with urban residents by comparing sex-specific age-adjusted all-cause mortality rates between older adults of both races who reside in rural and urban counties in the US. Design, Setting, and Participants: In this county-level cross-sectional longitudinal study of US counties from January 1, 1968, to December 31, 2016, mortality data were obtained from the CDC WONDER database of the Centers for Disease Control and Prevention, and socioeconomic characteristics were obtained from the Area Health Resources Files of the US Health Resources and Services Administration. The study population included older adults (≥65 years) of Black and White ancestry living in 3131 rural and urban counties in the US. Using ordinary least squares regression analyses, race- and sex-specific trends in mortality rates with 95% CIs were examined, and trends adjusted by county-level socioeconomic characteristics using year and county fixed-effects were calculated. Data were analyzed from March 24 to May 10, 2020. Exposures: Three geographic regions were examined: urban counties, rural counties adjacent to an urban county (rural-adjacent counties), and rural counties not adjacent to an urban county (rural-nonadjacent counties). Main Outcomes and Measures: All-cause age-adjusted mortality rates of Black and White adults 65 years and older. Results: For 1968, a total of 3076 counties (19 240 437 adults ≥65 years; 11 100 000 women [57.69%]; 1 484 747 Black individuals [7.74%]) were identified; of those, 1138 counties were urban, 1018 counties were rural adjacent, and 922 counties were rural nonadjacent. For 2016, a total of 3087 counties (46 400 000 adults ≥65 years; 25 800 000 women [55.72%]; 4 447 733 Black individuals [9.60%]) were identified; of those, 1163 counties were urban, 1020 counties were rural adjacent, and 904 counties were rural nonadjacent. Between 1968 and 2016, mortality rates per 100 000 persons decreased from 9063 to 4896 deaths (46%) among White men and from 6175 to 3760 deaths (39%) among White women. During the same period, mortality rates decreased from 8801 to 5477 deaths (38%) among Black men and from 6380 to 3960 deaths (38%) among Black women. However, the racial mortality gap increased among men living in rural counties after 1980. From 1968 to 2016, the mortality rate among White men decreased from 9063 to 4751 deaths (48%) in urban counties, from 9113 to 5338 deaths (41%) in rural-adjacent counties, and from 8971 to 5229 deaths (42%) in rural-nonadjacent counties. The mortality rate among Black men during the same period decreased from 8715 to 5368 deaths (38%) in urban counties, from 8924 to 6458 deaths (28%) in rural-adjacent counties, and from 9500 to 6941 deaths (27%) in rural-nonadjacent counties. Conclusions and Relevance: Rural and urban socioeconomic differences were associated with mortality rate disparities among both White and Black women. However, rural vs urban disparities in mortality rates among men remained significant, especially among Black men living in rural counties. Notably, the current mortality rate of Black men living in rural areas is similar to that of White men living in urban and rural areas in the mid-1980s. Understanding the intersectional factors associated with health disparities may help to inform public health and clinical interventions.

Assessment of Rural-Urban Differences in Postacute Care Utilization and Outcomes Among Older US Adults.

Importance: Although people living in rural areas of the United States are disproportionately older and more likely to die of conditions that require postacute care than those living in urban areas, rural-urban differences in postacute care utilization and outcomes have been understudied. Objective: To describe rural-urban differences in postacute care utilization and postdischarge outcomes. Design, Setting, and Participants: This retrospective cohort study used data from Medicare beneficiaries 66 years and older admitted to 4738 US acute care hospitals for stroke, hip fracture, chronic obstructive pulmonary disease, congestive heart failure, or pneumonia between January 1, 2011, and September 30, 2015. Participants were tracked for 180 days after discharge. Data analyses were conducted between October 1, 2018, and May 30, 2019. Exposures: County of residence was classified as urban or rural using the US Department of Agriculture Rural-Urban Continuum Codes. Rural counties were divided into those adjacent and not adjacent to urban counties. Main Outcomes and Measures: Primary outcomes were discharge to community vs a formal postacute care setting (ie, skilled nursing facility, home health care, or inpatient rehabilitation facility) and readmission and mortality within 30, 90, and 180 days of hospital discharge. Results: Among 2 044 231 hospitalizations from 2011 to 2015, 1 538 888 (75.2%; mean [SD] age, 80.4 [8.3] years; 866 540 [56.3%] women) were among patients from urban counties, 322 360 (15.8%; mean [SD] age, 79.6 [8.1] years; 175 806 [54.5%] women) were among patients from urban-adjacent rural counties, and 182 983 (9.0%; mean [SD] age, 79.8 [8.1] years; 98 775 [54.0%] women) were among patients from urban-nonadjacent rural counties. The probability of discharge to community without postacute care did not differ by rurality. However, compared with patients from urban counties, patients from the most rural counties were more frequently discharged to a skilled nursing facility (adjusted difference, 3.5 [95% CI, 2.8-4.3] percentage points), while discharge to an inpatient rehabilitation facility was less common among patients from rural counties than among those from urban counties (urban vs urban-adjacent rural: adjusted difference, -1.9 [95% CI, -2.4 to -1.4] percentage points; urban vs urban-nonadjacent rural: adjusted difference, -1.8 [95% CI, -2.4 to -1.2] percentage points) as was discharge to home health care (urban vs urban-adjacent rural: adjusted difference, -1.7 [95% CI, -2.3 to -1.2] percentage points; urban vs urban-nonadjacent rural: adjusted difference, -2.4 [95% CI, -3.0 to -1.8]). For patients from the most rural counties, adjusted 30-day readmission rates were 0.4 (95% CI, 0.2-0.6) percentage points higher than those of patients from urban counties among those who were discharged to the community but 0.3 (95% CI, -0.6 to -0.1) percentage points lower among patients receiving postacute care. Adjusted 30-day mortality rates were 0.4 (95% CI, 0.3-0.5) percentage points higher for patients from the most rural counties discharged to the community and 2.0 (95% CI, -1.7 to 2.3) percentage points higher among those receiving postacute care. Rural-urban differences in 90-day and 180-day outcomes were similar. Conclusions and Relevance: These findings suggest that rates of discharge to the community and postacute care settings were similar among patients from rural and urban counties. Rural-urban differences in mortality following discharge were much larger for patients receiving postacute care compared with patients discharged to the community setting. Improving postacute care in rural areas may reduce rural-urban disparities in patient outcomes.

Healthy Aging After Age 65: A Life-Span Health Production Function Approach.

This article examines the determinants of healthy aging using Grossman's framework of a health production function. Healthy aging, sometimes described as successful aging, is produced using a variety of inputs, determined in early life, young adulthood, midlife, and later life. A healthy aging production function is estimated using nationally representative data from the 2010 and 2012 Health and Retirement Study on 7,355 noninstitutionalized seniors. Using a simultaneous equation mediation model, we quantify how childhood factors contribute to healthy aging, both directly and indirectly through their effects on mediating adult outcomes. We find that favorable childhood conditions significantly improve healthy aging scores, both directly and indirectly, mediated through education, income, and wealth. We also find that good health habits have positive effects on healthy aging that are larger in magnitude than the effects of childhood factors. Our findings suggest that exercising, maintaining proper weight, and not smoking are likely to translate into healthier aging.

A slow start: Use of preventive services among seniors following the Affordable Care Act's enhancement of Medicare benefits in the U.S.

OBJECTIVE: Beginning January 1st, 2011 in the United States the Affordable Care Act enhanced Medicare coverage for preventive services by eliminating patient cost-sharing under Part B and by introducing an "Annual Wellness Visit," also free-of-charge. We evaluated the early effects of these reforms on utilization of preventive services. METHOD: We analyzed nationally representative data on 15,044 Medicare seniors from the 2008-2010, and 2012 Medical Expenditure Panel Survey, and examined self-reported cholesterol test, blood pressure check, flu vaccination, endoscopy, fecal occult blood test, prostate specific antigen test, breast examination, and mammography. RESULTS: Enhanced Medicare benefits had no effects on preventive service utilization among Medicare seniors in 2012, including those with traditional Medicare and no other supplemental insurance, who stood to benefit the most from Part B enhancements. CONCLUSION: The muted overall response can be partly attributed to the fact that most seniors already held insurance that fully covered preventive services. While insurance enhancements can sometimes raise utilization, in the case of preventive services there are other fundamental barriers that require attention. Educating and incentivizing physicians about the need to refer/recommend screenings, and enhancing knowledge among seniors about the importance of preventive care are two steps that would likely go a long way towards increasing utilization.