Program for Psychosocial Assessment During Pregnancy: Protocol for a Multimethod Study
Bibliographic record
Abstract
BACKGROUND: Onset of depression and anxiety can occur before, during, or after pregnancy, and ongoing conditions can either improve or deteriorate at all stages. National and international guidelines recommend that maternal health care should contribute to improving pregnant women's mental health by consistently asking pertinent questions during pregnancy and offering necessary support and care. The implementation of a program for psychosocial assessment has been carried out in a region in Sweden. The program includes the identification of risk factors and ongoing mental ill-health, consultation with psychologists within maternal and child health care, and care pathways to other health care providers. OBJECTIVE: The general aim of this research project is to investigate the effects of a program for psychosocial assessment during pregnancy on patients, as well as to evaluate the experiences of midwives and psychologists when working with the program. METHODS: A multimethod study design will be used to evaluate possible effects of a program for psychosocial assessment during pregnancy, including a pre- and postimplementation comparison, alongside a qualitative study of the professionals' perspectives. Data sources for the research project include patient data from the Swedish Pregnancy Register, medical records, questionnaire responses, and interviews with midwives and psychologists. RESULTS: The recruitment process is completed, and data collection and analysis are ongoing. The dissemination plan includes several publications of original research and two doctoral theses. CONCLUSIONS: This study's results are expected to be relevant for maternal health care, both nationally and internationally, as scientific evaluations of the effects of implementing a program for psychosocial assessment during pregnancy are scarce. The implementation and evaluation of the program may hopefully, in the future, serve as a model for more standardized and effective care. It may influence national policies and attract attention as a model for improving perinatal mental health and maternity care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/67179.
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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 | 0.060 | 0.049 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.090 | 0.019 |
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".