Social connection in long-term care homes
Bibliographic record
Abstract
Background:Social connection is a basic human need and is important for quality of life and care for residents in long-term care (LTC) homes. Research has established associations between aspects of social connection (e.g., social engagement, social support and loneliness) and mental health outcomes (e.g., depression). Yet, despite living in a congregate setting, those in LTC homes often experience poor social connection. Social connection has unique considerations for LTC homes, including that most residents are living with cognitive impairment or dementia, which requires a customized measurement approach.Research Objective:The social connection in long-term care home residents (SONNET) study aims to improve measurement of social connection in LTC homes by addressing three specific questions: (1) What existing measures assess social connection in LTC homes and what are their psychometric properties? (2) What do residents, families, staff and clinicians consider to be the important elements of social connection in LTC homes? (3) Can a new measure accurately assess social connection in LTC home residents?Method:The three study questions will be addressed through: (1) A systematic review of existing measures, where measures will be characterized using content analysis and COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methods; (2) Qualitative interviews with residents, families, staff and clinicians to understand important aspects of social connection, and, (3) Development and testing of a new measure of social connection in Canada and the UK.Preliminary results of the ongoing study:Previous research will be discussed, including a scoping review summarizing research evidence linking social connection to mental health outcomes as well as strategies to build and maintain social connection during the COVID-19 pandemic. The SONNET study update will include preliminary findings from the systematic review and qualitative interviews, as well as development of a conceptual model and key considerations for a new measure.Conclusion:Social connection is an important concept in LTC homes. A robust measure of social connection, developed specifically for this setting, will enable researchers and care settings to test the effects of interventions and to report outcomes at the individual-, home- and system-level.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".