Facility‐Level Variation of Resident Loneliness in Assisted Living and Associated Organizational Context Factors: A Repeated Cross‐Sectional Study
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Loneliness is common among nursing home residents, and it is also thought to be a problem in assisted living (AL). However, we lack research on loneliness in AL. Our objectives were to assess changes in risk-adjusted prevalence of loneliness in AL, and facility-level variations in loneliness before and during the COVID-19 pandemic, and facility-level factors associated with AL resident loneliness during the pandemic. RESEARCH DESIGN AND METHODS: This population-based, repeated cross-sectional study used Resident Assessment Instrument-Home Care (RAI-HC) data (01/2017-12/2021) from Alberta, Canada. On a system-level, we estimated quarterly, risk-adjusted loneliness prevalence, and used segmented regressions to assess whether loneliness changed after the start of the pandemic. For risk adjustment, we used resident-covariates known to be associated with loneliness, but out the health system's or AL home's control (e.g., age or cognitive impairment) to enable fair comparisons over time. Linking AL home surveys, collected in COVID-19 waves 1 (March-June 2020) and 2 (October 2020-February 2021) to RAI-HC records, we used covariate-adjusted general estimating equations (GEE) to assess AL home factors (e.g., staffing shortages, social distancing measures) associated with resident-level loneliness during the pandemic. RESULTS: Quarterly samples included 2026-2721 residents. Loneliness [95% confidence interval] fluctuated between 13.6% [11.5%-15.7%], and 16.8% [14.4%-19.2%], with no statistically significant increase during the pandemic. Facility-level median [inter-quartile range] loneliness prevalence varied considerably before (14.9% [8.3%-21.1%) and during the pandemic (13.5% [6.9%-21.3%]). GEEs included 985 residents in 41 facilities (wave 1), and 1134 residents in 42 facilities (wave 2). Facility-factors associated with decreased odds of loneliness included: facilitating caregiver involvement (odds ratio = 0.531 [95% confidence interval: 0.286-0.986]), essential visitor policies (0.672 [0.454-0.994]), and video calls with volunteers or religious/spiritual leaders (0.603 [0.435-0.836]). Facilitating outdoor activities/visits (2.486 [1.561-3.961], and providing hallway-based activities (1.645 [1.183-2.288]) were associated with increased odds of loneliness. DISCUSSION AND IMPLICATIONS: Loneliness did not change during COVID-19 in AL on a health system level, but varied considerably between facilities before and during the pandemic. Modifiable facility-level factors explained variations in loneliness within facilities, suggesting important targets for policies and improvement interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".