The cultural supplement: A new method for assessing culturally relevant prolonged grief disorder symptoms
Bibliographic record
Abstract
Background: The new diagnosis of prolonged grief disorder (PGD) is both an opportunity and a challenge for researchers, clinicians, and bereaved individuals. The latest definition of PGD includes a refreshing and novel feature: the cultural caveat, i.e., clinicians must determine that the grief presentation is more severe and of longer duration than would be expected by an individual's culture and context. Currently, there are no guidelines on how to operationalize the cultural caveat in mental health care settings. Method: To respond to this important demand we have developed, piloted, and tested the cultural supplement module of the International Prolonged Grief Disorder scale (IPGDS). The cultural supplement aims to provide clinicians with a catalogue of culturally relevant symptoms of grief that indicate probable PGD alongside a simple framework for cultural adaptation for use in specific clinical settings. Results: In this short report we outline the rationale and aim of the cultural supplement and provide a summary of our latest validation studies of the IPGDS with bereaved German-speaking, Chinese and Swiss migrant individuals. We also provide a step-by-step framework for adaptation of the cultural supplement that clinicians and researchers may use when working with different cultural groups. Conclusion: To date, this is the first PGD questionnaire based on the ICD-11, and the first to include a cultural supplement that can be adapted to different contexts and groups. This cultural supplement will provide clinicians and researchers an easy-to-use assessment tool with the aim to improve the global applicability of the ICD-11 PGD definition.
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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 | 0.010 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".