A Vignette-Based Measure of Mental Health Literacy (PDR-V): Reliability, Validity, and Mindfulness Associations in a Cross-Sectional Sample
Bibliographic record
Abstract
Psychological distress impacts a large portion of the general population. While effective treatments are available, few seek them out. This lack of treatment seeking may be due to several factors, particularly low mental health literacy (MHL). MHL is the knowledge an individual has regarding psychological disorders and their symptoms, treatments, and where to seek appropriate help when identified. The capacity to pay attention to present-moment experiences in MHL translates to the qualities of dispositional mindfulness (DM), the capacity to pay non-judgmental attention to present-moment experiences. The purpose of the present study was to evaluate the reliability and preliminary convergent validity of a newly developed, vignette-based assessment of psychological disorder recognition. A total of N = 299 participants were recruited via TurkPrime and completed measures of DM (FFMQ), MHL (MHLS), depression (PHQ-9), anxiety (GAD-7), and treatment-seeking attitudes (MHSAS). Participants were subsequently asked to read newly created vignettes based on ICD-11 criteria of major depressive, generalized anxiety, social anxiety, bipolar disorders, post-traumatic stress disorder, and schizophrenia. Participants then responded to questions assessing the recognition of disorder presence and identification. The vignettes with accompanying questions were titled the Psychological Disorder Recognition—Vignette (PDR-V) task. The PDR-V evidenced a Kuder–Richardson Formula 20 (KR-20) of 0.83, indicating excellent internal consistency. Independent sample t-tests indicated that participants with prior psychotherapy exposure, a history of mental health diagnosis, and, unexpectedly, those reporting lower education levels and no current mindfulness practice, scored significantly higher on the PDR-V. Spearman correlations revealed that higher scores on a validated MHL scale and specific facets of DM (describe, act with awareness) were positively correlated with PDR-V scores. Bipolar disorder evidenced the highest recognition as a psychological problem broadly, while social anxiety had the highest specific disorder identification accuracy rates. Generalized anxiety disorder had the lowest recognition and identification accuracy. While the PDR-V demonstrated promising preliminary psychometric properties, it also observed anomalies that warrant further investigation, as findings are limited by its cross-sectional nature. These findings suggest that the PDR-V is a versatile tool for differentiating the presence of a problem and accurately identifying the condition, supporting its potential as a reliable and sound measure.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".