A Validation Study of the Web Screening Questionnaire (WSQ) Compared With the Mini-International Neuropsychiatric Interview-Plus (MINI-Plus)
Bibliographic record
Abstract
BACKGROUND: There is a need for brief screening methods for psychiatric disorders in clinical practice. This study assesses the validity and accuracy of a brief self-report screening questionnaire, the Web Screening Questionnaire (WSQ), in detecting psychiatric disorders in a study group comprising the general population and psychiatric outpatients aged 18 years and older. OBJECTIVE: The aim of this study was to investigate whether the WSQ is an adequate test to screen for the presence of depressive and anxiety disorders in clinical practice. METHODS: Participants were 1292 adults (1117 subjects from the general population and 175 psychiatric outpatients), aged 18 to 65 years. The discriminant characteristics of the WSQ were examined in relation to the ("gold standard") Mini-International Neuropsychiatric Interview-Plus (MINI-Plus) disorders, by means of sensitivity, specificity, area under the curve (AUC), and positive and negative predictive values (PPVs, NPVs). RESULTS: The specificity of the WSQ to individually detect depressive disorders, anxiety disorders, and alcohol abuse or dependence ranged from 0.89 to 0.97 for most disorders, with the exception of post-traumatic stress disorder (0.52) and specific phobia (0.73). The sensitivity values ranged from 0.67 to 1.00, with the exception of depressive disorder (0.56) and alcohol abuse or dependence (0.56). Given the low prevalence of separate disorders in the general population sample, NPVs were extremely high across disorders (≥0.97), whereas PPVs were of poor strength (range 0.02-0.33). CONCLUSIONS: In this study group, the WSQ was a relatively good screening tool to identify individuals without a depressive or anxiety disorder, as it accurately identified those unlikely to suffer from these disorders (except for post-traumatic stress disorders and specific phobias). However, in case of a positive WSQ screening result, further diagnostic procedures are required.
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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 | 0.026 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".