COVID-19 Peritraumatic Distress Index Instrument – Translation and Validation of Bulgarian Version
Bibliographic record
Abstract
BACKGROUND: COVID-19 peritraumatic distress index (CPDI) self-report questionnaire was designed to measure peritraumatic psychological distress in a pandemic emergency. AIM: The aim of the study was the validation of Bulgarian COVID-19 peritraumatic distress index (CPDI) questionnaire and its application to measure psychological distress level in Bulgarian population. METHODS: The study was conducted among 42 adults from February 2022 to March 2022. The average age of respondents participating in the validation of COVID-19 peritraumatic distress index (CPDI) questionnaire is 40.88 ± 13.309, women being predominant - 71.4% (n = 30), as well as individuals with higher education- 69% (n = 29). Following the preliminary instruction, all participants filled out the online Bulgarian version of the questionnaire anonymously 2 times within a period of 2 weeks. Data were analyzed using descriptive statistic, the Wilcoxon signed-rank test, Cronbach’s alpha, and Corrected Item-Total Correlation. RESULTS: The CPDI instrument was linguistically validated according to a standard procedure (8) and cross-culturally adapted (9) into Bulgarian in several stages. The overall Cronbach’s alpha for the Peritraumatic Distress Index (CPDI) questionnaire is 0.940. Almost all corrected item-total correlations exceeded the accepted cut off of 0.30 indicating each item was related to the overall scale except for Q5 “I feel sympathetic to COVID-19 patients and their families.” CONCLUSION: The Bulgarian version of the questionnaire reveals good reliability and cross-cultural validity and can be applied widely for measuring the prevalence of psychological suffering and distress in the pandemic emergency.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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".