Comparing the feasibility, acceptability, clinical-, and cost-effectiveness of mental health e-screening to paper-based screening on the detection of depression, anxiety, and psychosocial risk in pregnant women: a study protocol of a randomized, parallel-group, superiority trial
Bibliographic record
Abstract
BACKGROUND: Stress, depression, and anxiety affect 15% to 25% of pregnant women. However, substantial barriers to psychosocial assessment exist, resulting in less than 20% of prenatal care providers assessing and treating mental health problems. Moreover, pregnant women are often reluctant to disclose their mental health concerns to a healthcare provider. Identifying screening and assessment tools and procedures that are acceptable to both women and service providers, cost-effective, and clinically useful is needed. METHODS/DESIGN: The primary objective of this randomized, parallel-group, superiority trial is to evaluate the feasibility and acceptability of a computer tablet-based prenatal psychosocial assessment (e-screening) compared to paper-based screening. Secondary objectives are to compare the two modes of screening on: (1) the level of detection of prenatal depression and anxiety symptoms and psychosocial risk; (2) the level of disclosure of symptoms; (3) the factors associated with feasibility, acceptability, and disclosure; (4) the psychometric properties of the e-version of the assessment tools; and (5) cost-effectiveness. A sample of 542 women will be recruited from large, primary care maternity clinics and a high-risk antenatal unit in an urban Canadian city. Pregnant women are eligible to participate if they: (1) receive care at one of the recruitment sites; (2) are able to speak/read English; (3) are willing to be randomized to e-screening; and (4) are willing to participate in a follow-up diagnostic interview within 1 week of recruitment. Allocation is by computer-generated randomization. Women in the intervention group will complete an online psychosocial assessment on a computer tablet, while those in the control group will complete the same assessment in paper-based form. All women will complete baseline questionnaires at the time of recruitment and will participate in a diagnostic interview within 1 week of recruitment. Research assistants conducting diagnostic interviews and physicians will be blinded. A qualitative descriptive study involving healthcare providers from the recruitment sites and women will provide data on feasibility and acceptability of the intervention. We hypothesize that mental health e-screening in primary care maternity settings and high-risk antenatal units will be as or more feasible, acceptable, and capable of detecting depression, anxiety, and psychosocial risk compared to paper-based screening. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01899534.
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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 | 0.053 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 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".