Profiles of women participating in an internet-based prenatal mental health platform (HOPE – Healthy Outcomes of Prenatal and Postnatal Experiences)
Why this work is in the frame
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Bibliographic record
Abstract
As mental healthcare expands to web-apps, smartphones, and other technologies, it is important to understand the psychological profiles of women who self-select to participate in perinatal mental health digital platform randomized control trials. There are concerns that those seeking internet-based mental health treatments may not be representative of the general perinatal populations seeking face-to-face treatments resulting in a lack of generalizability. The aim of this study is to describe the demographic and psychological profiles of prenatal women seeking treatment over the internet for mental health concerns as compared to the general perinatal population seeking mental health treatments. This was a descriptive study involving pregnant women across Alberta, Canada, aged 18–47 years old. Profiles were collected through self-report baseline demographics and mental health information using the Edinburgh Postnatal Depression Scale (EPDS), Antenatal Risk Questionnaire (ANRQ), Depression Anxiety Stress Scale (DASS-21)- Anxiety and Stress Subscales, and Maclean Screening Instrument for Borderline Personality Disorder (MSI-BPD). A total of 887 women completed self-reported baseline demographic data and 590 women completed baseline mental health data. Mean age of women was 31.3 years with a mean pregnancy gestational age of 15.3 weeks). A history of depression was reported by 36.3%, a history of anxiety was reported by 20.8% of women, and a history of abuse and emotional abuse was reported in 27.7% and 23.5% of women. At baseline, 57.6% of women had clinically significant mental health risk scores, 24.3% of women had probable minor depression, and mild to moderate levels of anxiety were reported in 23.2% of women. Borderline personality disorder was reported by 12.5% of women. Overall, this sample of pregnant women has prevalence rates of depression, anxiety, and stress that are comparable to those rates found in pregnant women in the general population. This suggests that there is broad utility for and consumer interest in internet-based mental health treatments.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it