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1.
Am J Hypertens ; 2024 May 10.
Artigo em Inglês | MEDLINE | ID: mdl-38727326

RESUMO

BACKGROUND: Medicare supplement insurance, or Medigap, covers 21% of Medicare beneficiaries. Despite offsetting some out-of-pocket (OOP) expenses, remaining OOP costs may pose a barrier to medication adherence. This study aims to evaluate how OOP costs and insurance plan types influence medication adherence among beneficiaries covered by Medicare Supplement plans. METHODS: We conducted a retrospective analysis of the MerativeTM MarketScan® Medicare Supplement Database (2017-2019) in Medigap enrollees (≥ 65 years) with hypertension. Proportion of days covered (PDC) was a continuous measure of medication adherence and was also dichotomized (PDC ≥ 0.8) to quantify adequate adherence. Beta-binomial and logistic regression models were used to estimate associations between these outcomes and insurance plan type and log-transformed OOP costs, adjusting for patient characteristics. RESULTS: Among 27,407 patients with hypertension, the average PDC was 0.68 ± 0.31; 47.5% achieved adequate adherence. A mean $1 higher in 30-day OOP costs was associated with a 0.06 (95% Confidence intervals [CI]: -0.09 - -0.03) lower probability of adequate adherence, or a 5% (95% C.I.: 4% - 7%) decrease in PDC. Compared to comprehensive plan enrollees, the odds of adequate adherence were lower among those with point-of-service plans (O.R.: 0.69, 95%C.I.: 0.62 - 0.77), but higher among those with preferred provider organization (PPO) plans (O.R.: 1.08, 95%C.I.: 1.01 - 1.15). Moreover, the association between OOP costs and PDC was significantly greater for PPO enrollees. CONCLUSIONS: While Medicare supplement insurance alleviates some OOP costs, different insurance plans and remaining OOP costs influence medication adherence. Reducing patient cost-sharing may improve medication adherence.

2.
Ear Hear ; 45(1): 257-267, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-37712826

RESUMO

OBJECTIVES: This article describes key data sources and methods used to estimate hearing loss in the United States, in the Global Burden of Disease study. Then, trends in hearing loss are described for 2019, including temporal trends from 1990 to 2019, changing prevalence over age, severity patterns, and utilization of hearing aids. DESIGN: We utilized population-representative surveys from the United States to estimate hearing loss prevalence for the Global Burden of Disease study. A key input data source in modeled estimates are the National Health and Nutrition Examination Surveys (NHANES), years 1988 to 2010. We ran hierarchical severity-specific models to estimate hearing loss prevalence. We then scaled severity-specific models to sum to total hearing impairment prevalence, adjusted estimates for hearing aid coverage, and split estimates by etiology and tinnitus status. We computed years lived with disability (YLDs), which quantifies the amount of health loss associated with a condition depending on severity and creates a common metric to compare the burden of disparate diseases. This was done by multiplying the prevalence of severity-specific hearing loss by corresponding disability weights, with additional weighting for tinnitus comorbidity. RESULTS: An estimated 72.88 million (95% uncertainty interval (UI) 68.53 to 77.30) people in the United States had hearing loss in 2019, accounting for 22.2% (20.9 to 23.6) of the total population. Hearing loss was responsible for 2.24 million (1.56 to 3.11) YLDs (3.6% (2.8 to 4.7) of total US YLDs). Age-standardized prevalence was higher in males (17.7% [16.7 to 18.8]) compared with females (11.9%, [11.2 to 12.5]). While most cases of hearing loss were mild (64.3%, 95% UI 61.0 to 67.6), disability was concentrated in cases that were moderate or more severe. The all-age prevalence of hearing loss in the United States was 28.1% (25.7 to 30.8) higher in 2019 than in 1990, despite stable age-standardized prevalence. An estimated 9.7% (8.6 to 11.0) of individuals with mild to profound hearing loss utilized a hearing aid, while 32.5% (31.9 to 33.2) of individuals with hearing loss experienced tinnitus. Occupational noise exposure was responsible for 11.2% (10.2 to 12.4) of hearing loss YLDs. CONCLUSIONS: Results indicate large burden of hearing loss in the United States, with an estimated 1 in 5 people experiencing this condition. While many cases of hearing loss in the United States were mild, growing prevalence, low usage of hearing aids, and aging populations indicate the rising impact of this condition in future years and the increasing importance of domestic access to hearing healthcare services. Large-scale audiometric surveys such as NHANES are needed to regularly assess hearing loss burden and access to healthcare, improving our understanding of who is impacted by hearing loss and what groups are most amenable to intervention.


Assuntos
Auxiliares de Audição , Perda Auditiva , Zumbido , Masculino , Feminino , Humanos , Estados Unidos/epidemiologia , Prevalência , Carga Global da Doença , Zumbido/epidemiologia , Anos de Vida Ajustados por Deficiência , Inquéritos Nutricionais , Saúde Global , Perda Auditiva/epidemiologia , Anos de Vida Ajustados por Qualidade de Vida
3.
J Nutr ; 154(2): 714-721, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38158186

RESUMO

BACKGROUND: Diet quality, food access, and food assistance policies may be key modifiable factors related to cognitive decline. OBJECTIVE: We aimed to evaluate whether diet quality, food insecurity, and Supplemental Nutrition Assistance Program (SNAP) use are associated with longitudinal changes in cognition among older adults in the United States. METHODS: Food intake data from the Health Care and Nutrition Study were linked with longitudinal health information from 5 waves of the Health and Retirement Study (2012-2020). The analytic sample (n = 6968) included community-dwelling United States adults aged ≥51 y without cognitive impairment. Global cognition was measured using a telephone-based cognitive status interview (range: 0-27). Diet quality was measured with the Healthy Eating Index, using participants' average intake of 13 dietary components. Questions regarding food access and affordability were used to determine food insecurity and use of SNAP benefits. Linear mixed-effects regression models were used to estimate longitudinal associations between diet-related factors and cognitive score changes. RESULTS: Poorer diets [ß: -0.24; 95% confidence interval (CI): -0.33, -0.15], food insecurity (ß: -1.08; 95% CI: -1.31, -0.85), and SNAP use (ß: -0.57; 95% CI: -0.82, -0.32) were associated with lower baseline cognitive scores. Poorer diets (ß: -0.17; 95% CI: -0.29, -0.05) and food insecurity (ß: -0.23; 95% CI: -0.47, -0.01) were associated with significantly steeper declines in cognitive scores over time, after 8 and 2 y of follow-up, respectively; however, SNAP use was not significantly associated with the rate of cognitive decline over time. Estimates were qualitatively similar when restricting the sample to participants aged ≥65 y. CONCLUSIONS: Results suggest that food access and adherence to healthy diet recommendations may be important elements to maintain cognitive health in aging. SNAP benefits may be insufficient to prevent negative cognitive effects of poor diet and limited access to nutritious foods.


Assuntos
Assistência Alimentar , Pessoa de Meia-Idade , Humanos , Estados Unidos , Idoso , Pobreza , Abastecimento de Alimentos , Dieta , Insegurança Alimentar
4.
J Aging Health ; 35(7-8): 593-603, 2023 08.
Artigo em Inglês | MEDLINE | ID: mdl-36633960

RESUMO

OBJECTIVES: To investigate the role of social factors in the association between depression and falls among older adults. METHODS: The sample included data from 3443 older adults from three waves of the Health and Retirement Study (2010-2014). A Lifestyle Questionnaire was used to measure social engagement, social network contact, and neighborhood social context. Mediating effects of social factors were estimated through causal mediation analysis. Results: Poorer social engagement and network contact were associated with greater likelihood of falls, while poorer neighborhood context was associated with greater likelihood of fall injuries. Social engagement mediated a significant portion of the effect of depression on falls (OR: 1.03, 95% CI: 1.00, 1.06), and neighborhood context mediated a portion of the effect of depression on fall injuries (OR: 1.03, 95% CI: 1.00, 1.07). Discussion: The direct and indirect impacts of social factors suggest that considering them may help improve existing fall prevention approaches.


Assuntos
Acidentes por Quedas , Depressão , Humanos , Idoso , Depressão/epidemiologia , Características de Residência , Meio Social , Fatores Sociais
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