Older Adults, the “Social Admission,” and Nonspecific Complaints in the Emergency Department: Protocol for a Scoping Review
Bibliographic record
Abstract
BACKGROUND: Older adults have a higher visit rate and poorer health outcomes in the emergency department (ED) compared to their younger counterparts. Older adults are more likely to require additional resources and hospital admission. The nonspecific, atypical, and complex nature of disease presentation in older adults challenges current ED triage systems. Acute illness in older adults is often missed or commonly disguised in the ED as a social or functional issue. If diagnostic clarity is lacking or safe discharge from the ED is not feasible, then older adults may be labelled a "social admission" (or another synonymous term), often leading to negative health consequences. OBJECTIVE: This scoping review aims to describe and synthesize the available evidence on patient characteristics, adverse events, and health outcomes for older adults labelled as "social admission" (and other synonymously used terms), as well as those with nonacute or nonspecific complaints in the ED or hospital setting. METHODS: A literature search of MEDLINE, Embase, Scopus, PsycINFO, and CINAHL was completed. Relevant reference lists were screened. Data have been managed using EndNote software and the Covidence web application. Original data have been included if patients are aged ≥65 years and are considered a "social admission" (or other synonymously used term) or if they present to the ED with a nonacute or nonspecific complaint. Two review team members have reviewed titles and abstracts and will review full-text articles. Disagreements are resolved by consensus or in discussion with a third reviewer. This review does not require research ethics approval. RESULTS: As of January 2023, we have completed the title and abstract screening and have started the full-text screening. Some remaining full-text articles are being retrieved and/or translated. We are extracting data from included studies. Data will be presented in a narrative and descriptive manner, summarizing key concepts, patient characteristics, and health outcomes of patients labelled as a "social admission" (and other synonymously used terms) and of those with nonacute and nonspecific complaints. We expect the first results for publication in Spring 2023. CONCLUSIONS: Acute illness in the older adult is not always easily identified. We hope to better understand patient characteristics, adverse events, and health outcomes of older adults labelled as a "social admission," as well as those with nonacute or nonspecific complaints. We aim to identify priorities for future research and identify knowledge gaps that may inform health care providers caring for these vulnerable patients. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38246.
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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 | 0.077 | 0.076 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.014 | 0.018 |
| Bibliometrics | 0.018 | 0.016 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.066 | 0.009 |
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".