Agitation in Demented Patients in an Acute Care Hospital: Prevalence, Disruptiveness, and Staff Burden
Bibliographic record
Abstract
UNLABELLED: BACKGROUND/LITERATURE REVIEW: The prevalence of agitated behaviors in different populations with dementia is between 24% and 98%. Although agitated behaviors are potentially disruptive, little research attention has been focused on the effects of these behaviors upon nursing staff. The objectives of this study of demented patients in long-term-care beds at an acute care community hospital were to determine the frequency and disruptiveness of agitated behaviors; to investigate the associations of patient characteristics and interventions with the level of agitation; and to explore the burden of these agitated behaviors on nursing staff. METHOD: The study sample comprised 56 demented patients in the long-term-care unit during the study period. Twenty-seven staff who cared for these patients during three shifts over a 2-week period were interviewed to rate the frequency and disruptiveness of agitated behaviors using the Cohen-Mansfield Agitation Inventory, and the burden of care using a modified version of the Zarit Burden Interview. Data on patient characteristics and interventions extracted from the hospital chart included scores on the Barthel Index and Mini-Mental State Examination, the use of psychotropic medication, and the use of physical restraints. RESULTS: Ninety-five percent of the patients with dementia were reported to have at least one agitated behavior; 75% had at least one moderately disruptive behavior. A small group of six patients (11%) had 17 or more disruptive behaviors. The frequency of most behaviors did not vary significantly by shift. Length of stay on long-term care, Barthel Index score, and the use of psychotropic medications were significantly associated with the number of agitated behaviors. The number of behaviors, their mean frequency, and their mean disruptiveness were all significantly correlated with staff burden. DISCUSSION: The prevalence of agitated behaviors in patients with dementia in long-term-care beds at an acute care hospital is similar to that reported in long-term-care facilities. These behaviors are associated with staff burden.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".