Effectiveness of the Antenatal Psychosocial Health Assessment (ALPHA) form in detecting psychosocial concerns: a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: A pregnant woman's psychological health is a significant predictor of postpartum outcomes. The Antenatal Psychosocial Health Assessment (ALPHA) form incorporates 15 risk factors associated with poor postpartum outcomes of woman abuse, child abuse, postpartum depression and couple dysfunction. We sought to determine whether health care providers using the ALPHA form detected more antenatal psychosocial concerns among pregnant women than providers practising usual prenatal care. METHODS: A randomized controlled trial was conducted in 4 communities in Ontario. Family physicians, obstetricians and midwives who see at least 10 prenatal patients a year enrolled 5 eligible women each. Providers in the intervention group attended an educational workshop on using the ALPHA form and completed the form with enrolled women. The control group provided usual care. After the women delivered, both groups of providers identified concerns related to the 15 risk factors on the ALPHA form for each patient and rated the level of concern. The primary outcome was the number of psychosocial concerns identified. Results were controlled for clustering. RESULTS: There were 21 (44%) providers randomly assigned to the ALPHA group and 27 (56%) to the control group. A total of 227 patients participated: 98 (43%) in the ALPHA group and 129 (57%) in the control group. ALPHA group providers were more likely than control group providers to identify psychosocial concerns (odds ratio [OR] 1.8, 95% confidence interval [CI] 1.1-3.0; p = 0.02) and to rate the level of concern as "high" (OR 4.8, 95% CI 1.1-20.2; p = 0.03). ALPHA group providers were also more likely to detect concerns related to family violence (OR 4.8, 95% CI 1.9-12.3; p = 0.001). INTERPRETATION: Using the ALPHA form helped health care providers detect more psychosocial risk factors for poor postpartum outcomes, especially those related to family violence. It is a useful prenatal tool, identifying women who would benefit from additional support and interventions.
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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 | 0.013 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".