Psychometric properties and factor structure of the Neuropsychiatric Inventory Nursing Home version in an elderly neuropsychiatric population
Bibliographic record
Abstract
BACKGROUND: The Neuropsychiatric Inventory (NPI) is an interview-based instrument designed to elicit information from an informal caregiver to evaluate behavioral disturbances in persons with dementia. Minor modifications of this instrument have produced the Neuropsychiatric Inventory-Nursing Home version (NPI-NH), a version specifically designed for interviewing professional care facility staff. The purpose of this investigation is to further understand the psychometric properties of the NPI-NH by examining its reliability, validity, and factor structure in an elderly neuropsychiatric population. METHOD: Participants were 204 elderly inpatients from a large provincial neuropsychiatric hospital in British Columbia, Canada. Data were collected as part of a patient needs assessment project. RESULTS: The internal consistency reliability of the NPI-NH was alpha=0.67. An exploratory principal axis analysis with varimax rotation revealed five factors that accounted for 63.2% of the variance. These factors reflect aspects of psychiatric disturbance associated with: (a) Agitation; (b) Mood; (c) Psychosis; (d) Sleep/Motor Activity; and (e) Elevated Behavior. Convergent and discriminant validity of the five factors by correlating them with other behavioral measures was considered satisfactory. CONCLUSIONS: These results provide support for the clinical use of the NPI-NH as a screen for neuropsychiatric symptoms in an elderly neuropsychiatric population. However, additional research is encouraged to further evaluate the clinical utility of the NPI-NH in nursing home and inpatient geriatric settings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".