Revealing the divide: Contrasting COVID-19 outcomes in Green Houses and traditional nursing homes in the United States.

INTRODUCTION: This study compares COVID-19 case and mortality rates in Green Houses (GHs) and traditional nursing homes (NHs) during the COVID-19 pandemic. METHODS: CMS data from 10 states (June 2020 to September 2022) were analyzed for GHs (n = 19), small NHs (n = 266), and large NHs (n = 2,932). Multivariate Poisson regressions with GEE were used. RESULTS: Participants (mean age 73.4) were predominantly female (57.8 %) and White (78.2 %). Small and large NHs had a significantly higher COVID-19 case risk (RR = 1.61; 95 % CI 1.25-2.08 and RR = 1.75; 95 % CI 1.36-2.24, respectively) compared to GHs. Large NHs also had an increased mortality risk (RR = 1.67; 95 % CI 1.01-2.77) compared to GHs, with no difference found between GHs and small NHs. CONCLUSION: After adjusting for age, gender, and ADL disability, GHs demonstrated lower COVID-19 case and mortality rates than traditional NHs, likely due to their unique features, including person-centered care, size, and physical structure.

Determinants associated with medical-related long-term care service use among community-dwelling older adults in Taiwan.

INTRODUCTION: Medical-related long-term care (LTC) service use among community-dwelling older adults in Taiwan is resource-intensive, and planning is essential to promote aging-in-place. METHODS: Administrative data from 4/1/2017 to 11/26/2019 among more than 14,000 residents were analyzed with generalized estimating equations (GEEs) to identify determinants of medical-related LTC service use. RESULTS: Older adults using medical-related LTC services tended to be younger (79.9 vs. 80.7; p<.0001), male (42.7% vs. 38.5%; p<.0001), multi-morbid (3.1 vs. 2.5; p<.0001), and higher mean activities of daily living (ADL) disability (8.2 vs. 4.2; p<.0001), instrumental ADL (IADL) disability (11.0 vs. 9.1; p<.0001), and hospitalizations (1.1 vs. 0.4; p<.0001). Significant determinants of medical-related LTC services include age, education, stroke, coronary heart disease, diabetes, vision impairment, ADL disability, and prior hospitalization. DISCUSSION: The success of LTC 2.0 will depend on ADL support and care coordination to manage chronic conditions such as diabetes, vision impairment, coronary heart disease, and stroke.

End-of-Life Medical Decisions: The Link Between Sociodemographic Characteristics and Treatment Preferences.

INTRODUCTION: Advance directives (ADs) promote patient autonomy in end-of-life (EOL) care, including an individual's EOL medical treatment preferences. This study aims to better understand preferences regarding EOL medical treatment among community-dwelling adults (18 and older) residing in the United States and examine the association between sociodemographic characteristics and EOL medical treatment preferences. METHODS: Utilizing a cross-sectional study and snowball sampling methodology, community-dwelling adults completed a survey containing two different ADs and a questionnaire with sociodemographic information. Univariate analyses were used to summarize EOL medical treatment preferences among the sample, and bivariate analyses (Chi-square and Fisher's Exact tests) were performed to examine the association between sociodemographic characteristics (age, gender, and race/ethnicity) and EOL medical treatment preferences. RESULTS: The mean age of the 166 participants was 50 (SD: 21.65, range: 18-93), with 58.4% being White and 61.4% being female. Generally, when EOL scenarios involved brain damage or a coma, more participants indicated that they did not want life-support treatment. Age and race were both associated with EOL medical treatment preferences, but no significant differences were observed in the bivariate results by gender. Largely, young and middle-aged adults, along with Black participants, were more likely to prefer more aggressive EOL medical treatments than older adults and White participants. CONCLUSION: Overall, EOL medical treatment preferences varied among participants. The study findings indicate that adults develop different preferences for EOL medical treatment, with some of the variation attributable to sociodemographic characteristics such as age and race.

Unveiling the Influencers: An Exploration of Factors Determining Advance Directive Completion Among Community-Dwelling Adults.

INTRODUCTION: Advance directives (AdvDirs) align end-of-life care with personal values, averting unnecessary treatments. This study explores factors influencing AdvDir completion. METHODS: We conducted a cross-sectional study with community-dwelling adults (n = 166) age range 18-93, using a survey to gather sociodemographics, beliefs, and AdvDir experiences. Multivariate logistic regression quantifies associations between selected covariates and AdvDir completion. RESULTS: We found that 36% of respondents had completed AdvDirs. The majority were comfortable discussing death (77%) and end-of-life care (84%) and recognized the importance of AdvDirs (79%). Age, education level, self-perceived health status, exposure to end-of-life planning, and the preference to limit treatment in potential future Alzheimer's scenarios significantly influenced AdvDir completion. CONCLUSION: In conclusion, the study highlights: (1) The need for age-specific, personalized AdvDir education initiatives, and (2) The necessity of intensified AdvDir awareness efforts, particularly for individuals favoring unlimited treatment in Alzheimer's or dementia scenarios.