No Other Safe Care Option: Nursing Home Admission as a Last Resort Strategy
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Nursing homes are intended for older adults with the highest care needs. However, approximately 12% of all nursing home residents have similar care needs as older adults who live in the community and the reasons they are admitted to nursing homes is largely unstudied. The purpose of this study was to explore the reasons why lower-care nursing home residents are living in nursing homes. RESEARCH DESIGN AND METHODS: A qualitative interpretive description methodology was used to gather and analyze data describing lower-care nursing home resident and family member perspectives regarding factors influencing nursing home admission, including the facilitators and barriers to living in a community setting. Data were collected via semistructured interviews and field notes. Data were coded and sorted, and patterns were identified. This resulted in themes describing this experience. RESULTS: The main problem experienced by lower-care residents was living alone in the community. Residents and family members used many strategies to avoid safety crises in the community but experienced multiple care breakdowns in both community and health care settings. Nursing home admission was a strategy used to avoid a crisis when residents did not receive the needed support to remain in the community. DISCUSSION AND IMPLICATIONS: To successfully remain in the community, older adults require specialized supports targeting mental health and substance use needs, as well as enhanced hospital discharge plans and improved information about community-based care options. Implications involve reforming policies and practices in both hospital and community-based care settings.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".