Turkish Adaptation of the Revised Version of the Diagnostic Criteria for Psychosomatic Research (DCPR-R): A Validity and Reliability Study
Bibliographic record
Abstract
OBJECTIVE: This study aimed to adapt the Diagnostic Criteria for Psychosomatic Research-Revised Semi-Structured Interview (DCPR-R-SSI) into Turkish and assess its psychometric properties. METHOD: This study was conducted with two separate samples of patients diagnosed with psychosomatic disorders between the ages of 18-65 at Gazi University Psychiatry Clinic. For inter-rater reliability analysis, a sample of 100 participants was evaluated by two raters and kappa coefficient was calculated. Validity analysis used samples from both patient and community groups. For criterion validity, the relationship between DCPR diagnoses and the Hospital Anxiety Depression Scale (HADS), Patient Health Questionnaire 15 (PHQ- 15), Health Anxiety Inventory (HAI) and Toronto Alexithymia Scale (TAS) was analyzed with the Point Biserial Correlation Coefficient. The distribution of DCPR diagnoses in the community and hospital samples was analyzed. RESULTS: The mean age of the sample for inter-rater reliability analysis was 33.5±13.0 years and 55% were female. Kappa values for 14 DCPR-R diagnoses were between 0.823-0.964. The hospital and community samples included 110 people from the community and 100 from the hospital. In the validity analyses, Allostatic Overload showed a significant relationship with HADS-Depression, HADS-Anxiety, PHQ-15 and HAI. Demoralization and Demoralization with Hopelessness showed a significant relationship with all scales. Type A Behavior was weakly correlated with all scales, whereas Alexithymia was strongly correlated with the TAS. The five most common DCPR-R diagnoses were Allostatic Overload (55.2%), Demoralization (36.1%), Alexithymia (29.0%), Type A Behavior (27.6%), Irritable Mood (15.7%), Persistent Somatization (11.9%) and Health Anxiety (10.9%). CONCLUSION: This study demonstrated that the Turkish version of DCPR-R is a valid and reliable measurement tool.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".