Medication Costs and Use of Older Americans in Assisted Living Settings: a Nationally Representative Cross-Sectional Study.

BACKGROUND: Assisted-living (AL) settings are an important residential care option for old and disabled Americans, but there are no national data characterizing medication use in AL. OBJECTIVE: To investigate medication costs and use of older adults living in the AL settings compared to those in the community, independent living, and nursing home settings. DESIGN: 2015 National Health and Aging Trends Study; nationally representative cross-sectional study. PATICIPANTS: Respondents ≥ 65 years with Medicare Part D prescription drug coverage (n = 5980, representing 32.34 million older adults). MEASURES: Total Part D medication costs; number of 30-day prescription fills; binary indicators for overall polypharmacy (≥ 5 and ≥ 10 concurrent medications), prescription fills of opioid and psychotropic medications including antipsychotics, benzodiazepines, gabapentinoids, antidepressants, and central nervous system-active (CNS-active) polypharmacy. RESULTS: Adjusting for demographics, the annual medication costs among AL residents, at $3890, were twice as high as those of their community-dwelling counterparts ($1932; p < .01). All medication outcomes except opioids were higher for older adults in AL compared to community settings. While the adjusted number of 30-day prescription fills among AL residents was slightly lower than that of nursing home residents (89.5 vs. 106.2; p < .05), AL residents experienced equivalent rates of overall polypharmacy ≥ 10 medications (30.2% vs. 23.5%), antipsychotics (30.8% vs. 27.8%), benzodiazepines (30.7% vs. 32.6%), gabapentinoids (21.2% vs. 16.1%), and CNS-active polypharmacy (26.0% vs. 36.9%; p > .05 for all). Patterns of use across settings were consistent when limited to older adults with dementia. CONCLUSIONS: Older Americans in AL experience a prescription medication burden similar to those in nursing homes. AL settings have an important opportunity to ensure their medication-related clinical services and supports match the needs of their residents.

Home Health Use Following a Cancer Diagnosis Among Patients Enrolled in Medicare Advantage and Traditional Medicare: Findings From the Newly Linked SEER-Medicare and Home Health OASIS Data.

BACKGROUND: This article describes characteristics of patients receiving home health following an initial cancer diagnosis, comparing those enrolled in Medicare Advantage (MA) and Traditional Medicare (TM), using the newly linked 2010-2014 National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-Medicare and home health Outcome and Assessment Information Set (OASIS) data. METHODS: We identified SEER-Medicare beneficiaries with at least one OASIS assessment within 3 months of cancer diagnosis in 2010-2014, and summarized their demographic and clinical characteristics. Demographic and diagnostic data were obtained from the SEER-Medicare data, while further details about cognitive status, mood, function, and medical history were obtained from OASIS. We assessed differences between MA and TM beneficiaries using chi-square tests for independence, t-tests, and Kruskal-Wallis tests. RESUTLS: We identified 104 023 patients who received home health within 3 months of cancer diagnosis: 81 587 enrolled in TM and 22 436 enrolled in MA. TM cancer patients had higher unadjusted rates of home health use than MA patients (16.3% vs 10.3%, P < .001). TM cancer patients receiving home health had more limitations in their cognitive function than their MA counterparts and longer lengths of service (mean = 42.2 days vs 39.4 days, P < .001; median = 27 vs 26 days, interquartile range = 42). CONCLUSION: This study demonstrates the large number of cancer patients in the SEER-Medicare-OASIS data and describes characteristics for TM and MA patients. These newly linked data can be used to assess home health care among older patients with cancer.

Mental Illness, Not Obesity Status, is Associated with Food Insecurity Among the Elderly in the Health and Retirement Study.

OBJECTIVES: Food insecurity, limited or uncertain access to adequate nutrition, is an increasingly recognized determinant of health outcomes and is often associated with having obesity. It is unclear, however, if this association persists in elderly populations. METHODS: We conducted a cross-sectional study of 2868 participants' aged 65+ years from the Health and Retirement Study. Multivariate logistic regression was used to assess associations between food insecurity and body mass index, demographic characteristics, psychiatric history, and medical history. RESULTS: Participants with overweight/obesity had a higher prevalence of food insecurity than leaner counterparts, however, weight status was not a significant predictor of food insecurity after multivariate adjustment. Instead, mental illness, current smoking status, and non-White race were all independently associated with food insecurity. DISCUSSION: Beyond financial status, health care providers are encouraged to use these characteristics to identify elderly patients that may be at risk of food insecurity.

Outcomes in nursing home patients with traumatic brain injury.

BACKGROUND: Traumatic brain injury is a leading cause of death and disability in the United States. In survivors, traumatic brain injury remains a leading contributor to long-term disability and results in many patients being admitted to skilled nursing facilities for postacute care. Despite this very large population of traumatic brain injury patients, very little is known about the long-term outcomes of traumatic brain injury survivors, including rates of discharge to home or risk of death in long-term nursing facilities. We hypothesized that patient demographics and functional status influence outcomes of patients with traumatic brain injury admitted to skilled nursing facilities. METHODS: We conducted a retrospective cohort study of Medicare fee-for-service beneficiaries aged 65 and older discharged alive and directly from hospital to a skilled nursing facility between 2011 and 2014 using the prospectively maintained Federal Minimum Data Set combined with Medicare claims data and the Centers for Medicare and Medicaid Services Vital Status files. Records were reviewed for demographic and clinical characteristics at admission to the skilled nursing facility, including age, sex, cognitive function, ability to communicate, and motor function. Activities of daily living were reassessed at discharge to calculate functional improvement. We used robust Poisson regression with skilled nursing facility fixed effects to calculate relative risks and 99% confidence intervals for mortality and functional improvement associated with the demographic and clinical characteristics present at admission. Linear regression was used to calculate adjusted mean duration of stay. RESULTS: Overall, 87,292 Medicare fee-for-service beneficiaries with traumatic brain injury were admitted to skilled nursing facilities. The mean age was 84 years, with 74% of patients older than age 80. Generally, older age, male sex, and poor cognitive or functional status at admission to a skilled nursing facility were associated with increased risk for poorer outcomes. Older patients (age ≥80 years) with traumatic brain injury had a 1.5 times greater risk of death within 30 days of admission compared with adults younger than 80 years (relative risk = 1.49, 99% confidence interval = 1.36, 1.64). Women were 37% less likely to die than men were (relative risk = 0.63, 99% confidence interval = 0.59, 0.68). The risk of death was greater for patients with poor cognitive function (relative risk = 2.55, 99% confidence interval = 2.32, 2.77), substantial motor impairment (relative risk = 2.44, 99% confidence interval = 2.16, 2.77), and patients with impairment in communication (relative risk = 2.58, 99% confidence interval = 2.32, 2.86) compared with those without the respective deficits. One year after admission, these risk factors continued to confer excess risk for mortality. Duration of stay was somewhat greater for older patients (30.1 compared with 27.5 average days) and patients with cognitive impairment (31.7 vs 27.5 average days). At discharge, patients with cognitive impairment (relative risk = 0.86, 99% confidence interval = 0.83, 0.88) and impairment in the ability to communicate (relative risk = 0.67, 99% confidence interval = 0.54, 0.82) were less likely to improve in physical function. CONCLUSION: Our results suggest that among patients with traumatic brain injury admitted to skilled nursing facilities, the likelihood of adverse outcomes varies significantly by key demographic and clinical characteristics. These findings may facilitate setting expectations among patients and families as well as providers when these patients are admitted to skilled nursing facilities for rehabilitation after their acute episode.

New Opportunities for Cancer Health Services Research: Linking the SEER-Medicare Data to the Nursing Home Minimum Data Set.

BACKGROUND: The Surveillance, Epidemiology and End Results (SEER)-Medicare data combine clinical information from population-based cancer registries with Medicare claims. These data have been used in many studies to understand cancer screening, treatment, outcomes, and costs. However, until recently, these data included limited information related to the characteristics and outcomes of cancer patients residing in or admitted to nursing homes. OBJECTIVES: To provide an overview of the new linkage between SEER-Medicare data and the Minimum Data Set (MDS), a nursing home resident assessment instrument detailing residents' physical, psychological, and psychosocial functioning as well as any therapies or treatments received. RESEARCH DESIGN: This is a descriptive, retrospective cohort study. SUBJECTS: Persons in SEER-Medicare diagnosed with cancer from 2004 to 2013 were linked to the 2011-2014 MDS, with 17% of SEER-Medicare patients linked to the MDS data. During 2011-2014, we identified 318,617 cancer patients receiving care in a nursing home and 256,947 cancer patients newly admitted to a total of 10,953 nursing homes. Of these patients, approximately two thirds were Medicare fee-for-service beneficiaries. RESULTS: The timing from cancer diagnoses to nursing home admission varied by cancer. In total, 93% of all patients were admitted directly to a nursing home from an acute care hospital. The majority of patients were cognitively intact, 21% reported some level of depression, and 9% had severe functional limitations. CONCLUSIONS: The new SEER-Medicare-MDS dataset provides a valuable resource for understanding the postacute and long-term care experiences of cancer patients receiving care in United States' nursing homes.