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Record W6959751996 · doi:10.13021/mars/6733

Examining the Role of Social Isolation on Hospitalizations, Nursing Home Entry, and Mortality among Older Adults

2022· other· en· W6959751996 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGeorge Mason University · 2022
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicPlant pathogens and resistance mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessSocial isolationIsolation (microbiology)Social distanceQuarter (Canadian coin)Nursing homesSocial support

Abstract

fetched live from OpenAlex

Social isolation affects a quarter of older adults in the United States, complicating efforts for Americans who wish to age at home or in the community. Social isolation is a key risk factor for adverse health outcomes and high health care costs, and is expected to have increased during COVID-19 due to social distancing efforts. However, little research has examined the impact of social isolation on health care utilization. Literature in this area tends to be conducted internationally, uses short follow-up times, measures social isolation through single-item variables, and usually does not control for both social isolation and loneliness in the same sample. No prior studies have examined the association between social isolation and nursing home entry in a United States-based sample. This dissertation includes three studies that expand knowledge on the associations between social isolation and hospitalization, nursing home entry, and mortality in a nationally-representative sample of community-dwelling Americans ages 65 and older. Data from the Health and Retirement Study were used to construct a multi-domain measure of social isolation while controlling for loneliness. The first study uses a panel data analysis to examine whether social isolation was associated with overnight hospital stays, nursing home entry, and mortality among older adults tracked between 2006 and 2018. The second study uses a time-to-event analysis to examine whether social isolation is associated with earlier time to long-term nursing home placement (residency of 100+ days) and mortality over ten years. The third study provides an exploratory, cross-sectional analysis to examine whether use of senior services moderates the association between social isolation and nursing home entry among respondents interviewed between 2010 and 2012. Results demonstrate that social isolation is significantly associated with increased nursing home entry and early mortality. Research examining the association between social isolation and health care utilization has important implications for the expansion of home and community-based services under Medicaid and billing codes to cover screening, referral, and treatment under Medicare. Future research should evaluate whether initiatives that enhance social connections in home or community-based settings are effective in offsetting nursing home entry, reducing premature mortality, and curbing health care costs for patients and payers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.171
Teacher spread0.164 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it