Validation of two postpartum depression screening scales with a sample of First Nations and Métis women.
Bibliographic record
Abstract
The purposes of this study were to determine the prevalence of postpartum depression (PPD) and to examine the utility of the Postpartum Depression Screening Scale (PDSS) and the Edinburgh Postnatal Depression Scale (EPDS) in First Nations and Métis women in the Canadian province of Saskatchewan. A total of 103 women who had given birth in the preceding 1 to 12 months were recruited from the city of Regina and from First Nations health centres in Saskatchewan. Self-report screening instruments assessing PPD were administered along with a structured clinical interview for DSM-IV Axis I disorders (SCID) to confirm the diagnosis of PPD. Of the 103 women, 17% were diagnosed with PPD. The findings support the validity of the PDSS and the EPDS as measures of PPD in First Nations and Métis women. The author discusses the need for primary health care professionals, including nurses, to offer postnatal screening for women who may be at risk for PPD.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".