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1.
Am J Geriatr Psychiatry ; 30(2): 249-255, 2022 02.
Artigo em Inglês | MEDLINE | ID: mdl-34565660

RESUMO

OBJECTIVE: To examine whether prescription fills of opioids and central nervous system (CNS) depressants are lower in Medicare Advantage (MA) plans, which aim to provide more coordinated and integrated care, than fee-for-service (FFS) Medicare. METHODS: Data from the 2015 National Health and Aging Trends Study linked with Medicare claims. Community-dwelling adults ≥65 enrolled in Medicare Part D were included (n = 5,652). Prescription fills of opioids, antipsychotics, benzodiazepines, gabapentinoids, and co-prescriptions of opioids with the other medications in MA versus FFS Medicare were examined using multivariate logistic models. Propensity score weighting was applied to account for differences in characteristics between MA and FFS beneficiaries. RESULTS: MA enrollees were less likely to fill prescriptions for benzodiazepines (15.6% versus 19.0%; marginal difference: -3.4%, t = -2.54, df = 56, p = 0.01), and co-prescriptions of opioids and gabapentinoids (5.1% versus 6.7%; marginal difference: -1.6%, t = -2.07, df = 56, p = 0.04) than FFS beneficiaries. There were no significant differences among the other prescription outcomes. CONCLUSIONS: MA was associated with slightly lower likelihood of receiving opioids and some CNS depressants.


Assuntos
Analgésicos Opioides , Medicare Part C , Idoso , Analgésicos Opioides/uso terapêutico , Benzodiazepinas/uso terapêutico , Prescrições de Medicamentos , Planos de Pagamento por Serviço Prestado , Humanos , Estados Unidos
2.
J Am Med Dir Assoc ; 24(4): 441-446, 2023 04.
Artigo em Inglês | MEDLINE | ID: mdl-36878263

RESUMO

OBJECTIVES: To examine the nursing home to nursing home transfer rates before and during the early COVID-19 pandemic and to identify risk factors associated with those transfers in a state with a policy to create COVID-19-care nursing homes. DESIGN: Cross-sectional cohorts of nursing home residents in prepandemic (2019) and COVID-19 (2020) periods. SETTING AND PARTICIPANTS: Michigan long-term nursing home residents were identified from the Minimum Data Set. METHODS: Each year, we identified transfer events as a resident's first nursing home to nursing home transfer between March and December. We included residents' characteristics, health status, and nursing home characteristics to identify risk factors for transfer. Logistic regression models were conducted to determine risk factors for each period and changes in transfer rates between the 2 periods. RESULTS: Compared to the prepandemic period, the COVID-19 period had a higher transfer rate per 100 (7.7 vs 5.3, P < .05). Age ≥80 years, female sex, and Medicaid enrollment were associated with a lower likelihood of transfer for both periods. During the COVID-19 period, residents who were Black, with severe cognitive impairment, or had COVID-19 infection were associated with a higher risk of transfer [adjusted odds ratio (AOR) (95% CI): 1.46 (1.01-2.11), 1.88 (1.11-3.16), and 4.70 (3.30-6.68), respectively]. After adjusting for resident characteristics, health status, and nursing home characteristics, residents had 46% higher odds [AOR (95% CI): 1.46 (1.14-1.88)] of being transferred to another nursing home during the COVID-19 period compared to the prepandemic period. CONCLUSIONS AND IMPLICATIONS: In the early COVID-19 pandemic, Michigan designated 38 nursing homes to care for residents with COVID-19. We found a higher transfer rate during the pandemic than during the prepandemic period, especially among Black residents, residents with COVID-19 infection, or residents with severe cognitive impairment. Further investigation is warranted to understand the transfer practice better and if any policies would mitigate the transfer risk for these subgroups.


Assuntos
COVID-19 , Pandemias , Estados Unidos/epidemiologia , Humanos , Feminino , Idoso de 80 Anos ou mais , Estudos Transversais , COVID-19/epidemiologia , Casas de Saúde , Instituições de Cuidados Especializados de Enfermagem
3.
Urogynecology (Phila) ; 29(8): 687-695, 2023 08 01.
Artigo em Inglês | MEDLINE | ID: mdl-37490708

RESUMO

IMPORTANCE: Urinary incontinence (UI) is common among women older than 65 years and negatively affects quality of life. However, the prevalence of UI treatment and determinants of treatment are largely unknown. OBJECTIVES: The aim of this study was to identify rates of UI treatment and factors associated with treatment in older women with self-reported UI. STUDY DESIGN: This is a retrospective cohort analysis of a data set linking UI symptoms from the Nurses' Health Study to Medicare claims. We evaluated use of pharmacotherapy, noninvasive, and procedural treatments for UI within 1 year before symptom survey. For pharmacotherapy, we used multivariable logistic regression to estimate odds ratios (ORs) of UI treatment. RESULTS: Of the 67,587 Nurses' Health Study respondents, 15,088 had linkage to Medicare, subscribed to part D, and answered UI questions. Of these, 8,332 (55.2%) women reported UI, and 10.9% with UI had a Medicare claim for treatment; pharmacotherapy represented 94.6% of all treatments.On regression analysis, women with more severe and longer-term UI had higher odds of treatment (severe vs slight UI: OR, 3.1; 95% confidence interval [CI], 2.2-4.3) (longer vs new UI: OR, 1.9; 95% CI, 1.5-2.3). Women with mixed (OR, 2.5; 95% CI, 1.9-3.2) or urgency UI (OR, 3.0; 95% CI, 2.2-3.9) had greater odds of treatment compared with women with stress UI. CONCLUSIONS: We estimate that only approximately 1 in 9 older women with self-reported UI underwent treatment within the year before reporting symptoms, of which pharmacotherapy was the most common UI intervention, and women with more severe and longer duration of symptoms were most often treated.


Assuntos
Incontinência Urinária por Estresse , Incontinência Urinária , Humanos , Feminino , Idoso , Estados Unidos/epidemiologia , Masculino , Qualidade de Vida , Estudos Retrospectivos , Medicare , Incontinência Urinária/epidemiologia , Incontinência Urinária por Estresse/epidemiologia
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