Examining Feasibility, Acceptability, and Preliminary Outcomes of a Culturally Adapted Evidence-Based Postpartum Depression Preventive Intervention for Women in Doha, Qatar: Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Postpartum depression and anxiety are the 2 most common perinatal mental health disorders, with prevalence rates higher among women living in the Middle East than in most Western countries. The negative outcomes associated with postpartum depression and anxiety are profound and include less responsive parenting and compromised infant and young child development. Although interventions exist to prevent postpartum depression and anxiety, to date, there have been no studies that have attempted to prevent postpartum depression or anxiety among Arabic-speaking women in the Middle East, including Qatar. OBJECTIVE: The purpose of this study is to conduct a randomized controlled trial (RCT) of an evidence-based postpartum depression preventive intervention-Mothers and Babies (MB)-culturally adapted for use with Arabic-speaking women in Doha, Qatar. MB is guided by a cognitive behavioral therapy framework that focuses on increasing pleasant activities, promoting healthy thought patterns, and increasing the type and frequency of personal contacts. MB is tailored to specific needs and issues related to pregnancy and the postpartum period. METHODS: A multidisciplinary and multiethnic investigator team adapted MB to promote cultural and contextual fit for Arabic-speaking women. Intervention concepts were reviewed to ensure core content would be understood by Arabic-speaking women in Qatar. Subsequently, images, activities, and examples in the intervention manuals were adapted, as needed, to make the content more relevant to Arab culture. To deliver the adapted intervention, 30 Arabic-speaking individuals with mental health backgrounds were trained. The adapted intervention was subsequently pilot-tested with 10 pregnant women receiving prenatal care at Sidra Hospital in Doha. We are now conducting an RCT to examine the effectiveness of the adapted intervention. We plan to enroll 210 pregnant individuals who are Arabic-speaking, with 1:1 randomization to the MB intervention or usual prenatal care. Among the enrolled participants, a stratified subsample of 40 pregnant women with diabetes is being recruited. Data collection will take place at baseline and a 6-month follow-up. The primary outcomes are depressive and anxiety symptoms and perceived stress. Diabetes self-care is the exploratory outcome for the subsample of individuals with diabetes. Intervention implementation will be assessed via client and provider surveys during and after intervention delivery. Power and sample size were calculated using a 2-sided 5% effort rate and assumed analyses on the individual level, accounting for attrition of 20%. RESULTS: The cultural adaptation and pilot study of the adapted MB intervention are completed. A total of 157 women have been enrolled in the RCT as of March 31, 2023. CONCLUSIONS: This study is highly innovative, as it is the first study to our knowledge to examine the effectiveness of an evidence-based postpartum depression preventive intervention in the Middle East. Limitations include a single follow-up time point and a small subsample of individuals with diabetes. TRIAL REGISTRATION: ClinicalTrials.gov NCT04442529; https://www.clinicaltrials.gov/study/NCT04442529. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/11623.
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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 | 0.044 | 0.045 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.062 | 0.008 |
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".