Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults.

The prevalence of age-related cognitive disorders/dementia is increasing, and effective prevention and treatment interventions are lacking due to an incomplete understanding of aging neuropathophysiology. Emerging evidence suggests that abnormalities in gut microbiome are linked with age-related cognitive decline and getting acceptance as one of the pillars of the Geroscience hypothesis. However, the potential clinical importance of gut microbiome abnormalities in predicting the risk of cognitive decline in older adults is unclear. Till now the majority of clinical studies were done using 16S rRNA sequencing which only accounts for analyzing bacterial abundance, while lacking an understanding of other crucial microbial kingdoms, such as viruses, fungi, archaea, and the functional profiling of the microbiome community. Utilizing data and samples of older adults with mild cognitive impairment (MCI; n = 23) and cognitively healthy controls (n = 25). Our whole-genome metagenomic sequencing revealed that the gut of older adults with MCI harbors a less diverse microbiome with a specific increase in total viruses and a decrease in bacterial abundance compared with controls. The virome, bacteriome, and microbial metabolic signatures were significantly distinct in subjects with MCI versus controls. Selected bacteriome signatures show high predictive potential of cognitive dysfunction than virome signatures while combining virome and metabolic signatures with bacteriome boosts the prediction power. Altogether, the results from our pilot study indicate that trans-kingdom microbiome signatures are significantly distinct in MCI gut compared with controls and may have utility for predicting the risk of developing cognitive decline and dementia- debilitating public health problems in older adults.

Use of Telehealth Among Racial and Ethnic Minority Groups in the United States Before and During the COVID-19 Pandemic.

OBJECTIVES: The COVID-19 pandemic has propelled the use of technology for health care services delivery. Because of inequities in health care and technology access, we investigated the use of telehealth services among racial and ethnic minority groups before and during the COVID-19 pandemic. METHODS: For this retrospective study, we examined the electronic health records of privately insured patients in the Healthjump database, provided by the COVID-19 Research Database Consortium. We examined 17.98 million unique visit records of 2.93 million patients from March through December 2019 and 22.17 million records of 3.55 million patients from March through December 2020. We conducted a descriptive analysis and used multiple logistic regression to examine differences in the use of telehealth services among 3 racial and ethnic groups: non-Hispanic White, non-Hispanic Black, and Hispanic people. RESULTS: Telehealth visits before and during COVID-19 accounted for 8.3% and 10.9% of total visits, respectively, with a peak of 15.5% in April 2020. Pre-COVID-19, Hispanic patients had a significantly lower monthly utilization rate (5.3%) than non-Hispanic White patients (8.4%, P < .001) and non-Hispanic Black patients (10.4%, P = .001). During the pandemic study period, Hispanic patients were 41% less likely than non-Hispanic White patients to have a telehealth visit, controlling for age and sex. CONCLUSIONS: The likelihood of using telehealth was lower among Hispanic patients than among non-Hispanic White and non-Hispanic Black patients during the pandemic. Culturally sensitive measures are needed to support telehealth use among the Hispanic population.

Telehealth and hospital performance: Does it matter?

INTRODUCTION: Previous studies indicated that telehealth services may improve hospital performance. However, the extent to which these telehealth provisions would improve hospital total performance score under the hospital value-based purchasing (HVBP) programme is not clear. The aim of this study is to examine the association between telehealth provision and hospital performance. METHODS: We performed a retrospective analysis of the association between the provision of telehealth services and 2699 hospital's total performance score (TPS) on the 2018 HVBP programme and its four domains. Multivariate regression models were used to analyse TPS and hospital performance on each domain. Telehealth services offered by a hospital was categorically operationalized as hospitals with no telehealth services, with one to two telehealth services, and with three or more telehealth services. RESULTS: Hospitals with one to two telehealth services have TPS (ß coefficient = 1.50; 95% confident intervals (CI): 0.28, 2.73; p < 0.05) and hospitals with three or more telehealth services have higher efficiency and cost reduction (ß = 1.10; 95% CI: 0.32, 1.87; p < 0.01) domain scores. However, the impact of telehealth on clinical care, person and community engagement, and safety domain scores was not significant. DISCUSSION: The expansion of hospital telehealth service provision can improve not only the efficiency of care, but also the total performance of the hospital. Since total performance is directly associated with hospital payments from the government, these findings have significant practice and policy implications. In addition, the effect of telehealth on other quality measures such as clinical care and safety needs further investigation.

Telehealth: Advances in Alternative Payment Models.

Introduction: The hospital sector has shifted its focus to advanced information and communication technologies to facilitate health care delivery through telehealth services to alleviate the industry's most pressing challenges in quality care and access, especially under changing reimbursement payment approaches. The aim of this study was to examine the association between alternative payment models (APMs), market competition, and telehealth provisions in the hospital setting. Materials and Methods: A secondary cross-sectional design to analyze 2018 census data of nonfederal short-term acute care hospitals in the United States was used. Multilevel logistic regressions models were used to analyze data from 4,257 hospitals across 1,874 counties. Counties with less than one hospital were excluded. Results: Regarding APMs, we found that hospital participation in accountable care organizations and participation in a bundled payment risk arrangement are significantly associated with the provision of telehealth services. From the market perspective, competitive advantage was found to be statistically associated with hospitals providing telehealth services. In addition, other hospital characteristics such as ownership, part of a system, part of a network, and major teaching affiliation also have impact on the provision of telehealth. Conclusions: The increase uptake of telehealth-related capabilities and their strong integration into care-delivery systems under APMs present exciting opportunities to enhance the merit of clinical care, and challenges as clinical professionals are not adept to using such technologies. There is a need to provide comprehensive of evidence on telehealth.

The Relationship between Health Information Technology Laboratory Tracking Systems and Hospital Financial Performance and Quality.

The objective of this study is to explore the relationship between hospitals Health Information Technology (HIT), and financial and quality performance. The study merged the 2017 Centers for Medicare & Medicaid Services (CMS) Healthcare Cost Report Information System, American Hospital Association Annual Survey, and two CMS Hospital Compare datasets. A total of 3002 hospitals were analyzed using multivariate analysis. We found that hospitals with laboratory tracking systems reported better financial performance on five financial performance measures. Policymakers should consider developing policies that facilitate exploration and adoption of various hospital HIT capabilities that measurably improves hospital quality of care.

Hospital utilization after a telemonitoring program: a pilot study.

The long-term effects of remote monitoring on hospital utilization and health care costs are understudied in home health care. The researchers performed a retrospective study, in a hospital-based home health care agency, to consider the effects of remote monitoring in 326 patients with heart failure 90 days after discharge from services. While statistical significance was not noted, clinical significance suggests that there was a decreased hospital utilization rate and decreased average cost per hospitalization in the remote monitoring group.