Correlates of nursing care burden among institutionalized patients with dementia
Bibliographic record
Abstract
ABSTRACTBackground:The stress associated with care of patients with dementia has led to high nursing staff turnover. This study aims to explore patient factors that are related to nursing burden. METHODS: The present study examined nursing care burden related to 55 institutionalized dementia patients using the Modified Nursing Care Assessment Scale (M-NCAS). Cognition was assessed with the Severe Impairment Battery (SIB), activities of daily living (ADLs) were measured with the Alzheimer's Disease Functional Assessment of Change Scale (ADFACS), aggression was measured with the Aggressive Behavior Scale (ABS), and the Charlson Comorbidity Index (CCI) was used to assess medical comorbidity. Finally, the Dementia Cognitive Fluctuation Scale (DCFS) was used to assess the presence and severity of cognitive fluctuations (CFs). Linear regression models were used to assess their relationships with nursing care burden. RESULTS: The mean age of the patients was 90.41 years (SD=2.84) and 89.10% were males. ADFACS total score (B = 0.36, β = 0.42, p = 0.002) and ABS score (B = 2.933, β = 0.37, p = 0.002) significantly predicted the M-NCAS Attitude score. ABS score was the only significant predictor of M-NCAS Strain score (B = 2.57, β = 0.35, p = 0.009). CONCLUSIONS: In the long-term care setting, aggressive behavior plays an important role in both subjective and objective nursing burden, while impaired ADLs increase the objective burden for nursing staff.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
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 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".