Psychometric properties of the Italian version of the Nurses’ Global Assessment of Suicide Risk (NGASR) scale
Bibliographic record
Abstract
AIM: People with mental disorders have higher risk of suicide compared to the general population. Assessment of risk factors can help nurses reducing suicidal risk. The Nurses' Global Assessment of Suicide Risk scale (NGASR) has proven valid and reliable in supporting the nursing evaluation of suicidal risk in different studies. The aim of the study was to examine the psychometric properties of the NGASR in the Italian population. METHODS: We translated the scale and administered it to a sample of 121 patients admitted to acute psychiatric wards. RESULTS: The Content Validity Index-Scale (CVI-S) was 96.7%, the correlation with the Scale for Suicide Ideation (SSI) score was high (r=.98, p<.001). Inter-rater reliability (rho=.97, p<.001), and test-retest stability (p=.96) were satisfactory. Factor analysis pointed out 5 factors and the 15 items of the NGASR-ita explained 61.29% of total variance. Of the 121 subjects assessed upon admission, 25.62% had average or higher suicidal risk. DISCUSSION AND CONCLUSIONS: The use of valid screening tools in support of Suicide risk assessment is recommended. The NGASR-ita is a valid and reliable tool, suitable for nursing assessment of suicidal risk in the acute psychiatric setting.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".