Contact between patients with suicidal ideation and nurses in mental health wards: Development and psychometric evaluation of a questionnaire
Bibliographic record
Abstract
Suicide prevention and treatment opportunities often depend on interpersonal contact between patients and professionals. Presently, there is a lack of valid and reliable instruments to obtain the perspective of patients with suicidal ideation regarding their contact with professionals in mental health wards. This was a three-stage study to develop and psychometrically evaluate a questionnaire: the Contact with Nurses from the perspective of Patients with Suicidal ideation (CoNuPaS). First, the construct was defined by a systematic review, qualitative study, and face validity among experts. Second, the content was validated through a Delphi procedure with professional experts (n = 14) and cognitive interviews with hospitalized patients (n = 12). Third, using a sample of adult patients with suicidal ideation in the past year (n = 405), the psychometric properties were assessed by an exploratory factor analysis, a test-retest procedure, and the internal consistency. The CoNuPaS comprises 23 items and two subsections, to examine patients' perceptions of contact experiences with nurses (CoNuPaS-experience) and what they find important in that contact (CoNuPaS-importance). The subsections comprise four components: encountering a space to express suicidal thoughts and explore needs, being recognized as a unique and self-determining individual, encountering nurses' availability/information-sharing/transparency on expectations, and trusting nurses in communication about suicidality. Content validity scores were excellent (0.78-1.00); test-retest intraclass correlation coefficient and internal consistency were >0.90. Thus, the CoNuPaS demonstrated good psychometric properties. The availability of a valid questionnaire to examine patient-nurse contact in mental health wards is central to improving understanding of nurses' contributions to suicide prevention and suicidal ideation treatment.
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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 | 0.015 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".