Factors affecting residents transition from long term care facilities to the community: a scoping review
Bibliographic record
Abstract
BACKGROUND: Long-term care facilities (LTCFs) are often places where persons with complex health needs that cannot be met in a community setting, reside and are cared for until death. However, not all persons experience continuous declines in health and functioning. For some residents who experience improvement in personal abilities and increased independence, transition from the LTCF to the community may be an option. This scoping review aimed to synthetize the existing evidence regarding the transition process from discharge planning to intervention and evaluation of outcomes for residents transitioning from LTCFs to the community. METHODS: This review followed a five-stage scoping review framework to describe the current knowledge base related to transition from LTCFs to community based private dwellings as the location of the discharge (example: Person's own home or shared private home with a family member, friend, or neighbour). Of the 4221 articles retrieved in the search of 6 databases, 36 articles met the criteria for inclusion in this review. RESULTS: The majority of studies focussed on an older adult population (aged 65 years or greater), were conducted in the USA, and were limited to small geographic regions. There was a lack of consistency in terminology used to describe both the facilities as well as the transition process. Literature consisted of a broad array of study designs; sample sizes ranged from less than 10 to more than 500,000. Persons who were younger, married, female, received intense therapy, and who expressed a desire to transition to a community setting were more likely to transition out of a LTCF while those who exhibited cognitive impairment were less likely to transition out of a LTCF to the community. CONCLUSIONS: Findings highlight the heterogeneity and paucity of research examining transition of persons from LTCFs to the community. Overall, it remains unclear what best practices support the discharge planning and transition process and whether or not discharge from a LTCF to the community promotes the health, wellbeing, and quality of life of the persons. More research is needed in this area before we can start to confidently answer the research questions.
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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 | 0.011 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.014 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".