Prenatal Depression Screening by Certified Nurse‐Midwives, Oregon
Bibliographic record
Abstract
INTRODUCTION: About 18% of pregnant women have major or minor depression during pregnancy, but many are neither screened nor treated. Lack of treatment can have serious adverse consequences for the woman and her child. Since 2002, the American College of Nurse-Midwives has advised midwives to integrate prevention, universal screening, treatment, and/or referral for depression into the care they provide. The American College of Obstetricians and Gynecologists' 2015 guidelines recommend screening at least once in the perinatal period using a standardized, validated tool. A consensus has not been reached by professional organizations about the specifics of whether and when to screen for prenatal depression. The objective of this study is to understand the prenatal screening practices of midwives who practice in Oregon. METHODS: We surveyed all 162 Oregon-licensed certified nurse-midwives (CNMs). The survey asked about practice characteristics, demographics, screening, and perceived barriers to screening. The survey was administered electronically from October through December 2014. RESULTS: The response rate was 37%. Among the 53 CNM respondents who had provided prenatal care in the previous year, 50 (94%) reported screening for prenatal depression, and 38 (72%) reported the use of a standardized screening tool on more than 90% of prenatal patients. Thirty-five (66%) CNMs reported using the Edinburgh Postnatal Depression Scale. More than 60% of respondents indicated that availability of mental health services and insurance constraints were barriers to screening. DISCUSSION: We explored prenatal depression screening practices of CNMs. Most Oregon CNMs use a standardized screening tool. We suggest 2 strategies to overcome barriers to screening: incorporation of a standardized screening tool into electronic medical records and negotiation with insurance companies. More research is needed to clarify when and how often pregnant women should be screened for depression and how to increase the number of women who receive treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".