Improving the Quality of Postpartum Care in Ghana: Protocol for a Parallel Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Although the postpartum period poses substantial risks and can result in significant maternal morbidity and mortality, postpartum care of the mother receives much less attention in transitional countries. OBJECTIVE: We describe the protocol for a randomized controlled trial to implement and evaluate a postpartum care delivery model titled Focused-PPC (Focused Postpartum Care). METHODS: Focused-PPC is an integrated group postpartum care model that meets the clinical care, education, and support needs of mothers up to 1 year after birth. The Focused-PPC intervention is a parallel randomized controlled trial with a total of 192 postpartum women at 4 health centers in Tamale, Ghana. Participants will be randomized into 1 of 2 trial arms at a 1:1 allocation ratio: (1) the control arm, which receives the standard postnatal care currently delivered in health facilities, or (2) the intervention arm, which receives the Focused-PPC model of care. Women enrolled in the intervention arm will receive postpartum clinical assessments and education for the first 6 weeks and will continue to receive education, measures of vital signs, and peer support for 12 months post partum during child welfare visits. Led by trained midwives, each postpartum group in the intervention arm will meet at 1-2 weeks, 6 weeks, and monthly thereafter for up to 1 year post partum, following the Ghana Health Service postnatal care schedule. RESULTS: The Focused-PPC guide, data collection tools, and audiovisual education materials were successfully developed and translated into the local language. We have enrolled and conducted baseline surveys for 192 women (sample size met) in the Focused-PPC trial who have been randomized into intervention and control arms. We have established a total of 12 Focused-PPC groups in the intervention arm, 3 groups from each site, all of which have sessions underway. CONCLUSIONS: Focused-PPC has the potential to change the postpartum care delivery model in Ghana and other countries in sub-Saharan Africa and beyond. TRIAL REGISTRATION: ClinicalTrials.gov NCT05280951; https://clinicaltrials.gov/study/NCT05280951. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47519.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.068 | 0.060 |
| Meta-epidemiology (narrow) | 0.008 | 0.004 |
| Meta-epidemiology (broad) | 0.013 | 0.008 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.099 | 0.015 |
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".