Caregiving for Older Adults with Obesity in the United States

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138397/1/jgs14918_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138397/2/jgs14918.pd

An Automated Procedure to Identify Biomedical Articles that Contain Cancer-associated Gene Variants

The proliferation of biomedical literature makes it increasingly difficult for researchers to find and manage relevant information. However, identifying research articles containing mutation data, a requisite first step in integrating large and complex mutation data sets, is currently tedious, time-consuming and imprecise. More effective mechanisms for identifying articles containing mutation information would be beneficial both for the curation of mutation databases and for individual researchers. We developed an automated method that uses information extraction, classifier, and relevance ranking techniques to determine the likelihood of MEDLINE abstracts containing information regarding genomic variation data suitable for inclusion in mutation databases. We targeted the CDKN2A (p16) gene and the procedure for document identification currently used by CDKN2A Database curators as a measure of feasibility. A set of abstracts was manually identified from a MEDLINE search as potentially containing specific CDKN2A mutation events. A subset of these abstracts was used as a training set for a maximum entropy classifier to identify text features distinguishing relevant from not relevant abstracts. Each document was represented as a set of indicative word, word pair, and entity tagger-derived genomic variation features. When applied to a test set of 200 candidate abstracts, the classifier predicted 88 articles as being relevant; of these, 29 of 32 manuscripts in which manual curation found CDKN2A sequence variants were positively predicted. Thus, the set of potentially useful articles that a manual curator would have to review was reduced by 56%, maintaining 91% recall (sensitivity) and more than doubling precision (positive predictive value). Subsequent expansion of the training set to 494 articles yielded similar precision and recall rates, and comparison of the original and expanded trials demonstrated that the average precision improved with the larger data set. Our results show that automated systems can effectively identify article subsets relevant to a given task and may prove to be powerful tools for the broader research community. This procedure can be readily adapted to any or all genes, organisms, or sets of documents

Hospice Improves Care Quality For Older Adults With Dementia In Their Last Month Of Life

The Medicare hospice benefit was originally designed around a cancer disease paradigm but increasingly serves people living with dementia. At this time, almost half of all older adults receiving hospice care have dementia. Yet there is minimal evidence as to whether hospice benefits people living with dementia outside of nursing facilities. We asked whether and how the perceived quality of last-month-of-life care differed between people with and without dementia and whether hospice use among people living with dementia was associated with perceived quality of care compared with the quality of care for those who did not use hospice. We used nationally representative data from the National Health and Aging Trends Study and Medicare claims from the period 2011-17 to examine the impact of hospice enrollment on proxy perceptions of last-month-of-life care quality. Proxies of people living with dementia enrolled in hospice compared with proxies of those not enrolled more often reported care to be excellent (predicted probability: 52 percent versus 41 percent), more often reported having anxiety or sadness managed (67 percent versus 46 percent), and less often reported changes in care settings in the last three days of life (10 percent versus 25 percent). There were no differences in the impact of hospice on proxy ratings of care for people with and without dementia. Policy makers should consider these benefits when weighing changes to hospice policy and regulations that may affect people living with dementia

The Experience of Homebound Older Adults During the COVID-19 Pandemic.

BackgroundHomebound older adults have heightened risks for isolation and negative health consequences, but it is unclear how COVID-19 has impacted them. We examine social contact and mood symptoms among previously homebound older adults during the COVID-19 pandemic.Design/settingCross-sectional analysis using data from the National Health and Aging Trends Study (NHATS), a nationally-representative longitudinal study of aging in the USA.ParticipantsA total of 3,112 community-dwelling older adults in 2019 who completed the COVID-19 survey in the summer/fall of 2020.MeasurementsHomebound status was defined via self-report as rarely/never leaving home or leaving the house with difficulty or help in the prior month. We measured limited social contact during COVID-19 (in-person, telephone, video or email contacts ResultsAmong homebound older adults, 13.2% experienced limited social contact during COVID-19 vs. 6.5% of the non-homebound. Differences in social contact were greatest for contacts via email/text/social media: 54.9% of the homebound used this DiscussionIsolation among homebound older adults increased during COVID-19, partially due to differences in technology use. We must ensure that homebound persons have the connection and care they need including new technologies for communication during and beyond COVID-19