Evaluating the Effect of Community Engagement on the Birth Preparedness and Complication Readiness in the Community Level Interventions for Pre-eclampsia (CLIP) Trial in Northern Karnataka, India
Bibliographic record
Abstract
Abstract Background: Increased birth preparedness and complication readiness can promote timely identification of the need for seeking skilled care and arrival at the appropriate facility for pregnancy complications. Engaging communities can support effective usage of local health services, yet implementation of community engagement programs can be challenging. The objective of the paper is to describe the process of community engagement in northern Karnataka, India and its impact on pre-eclampsia knowledge, birth preparedness and complication readiness, pregnancy-related care seeking and maternal morbidity. Methods: Community engagement was conducted in intervention clusters within the "Community-Level Interventions for Pre-eclampsia" (CLIP) trial in Belagavi and Bagalkote districts in rural Karnataka, India. Community engagement attendance was summarized according to participant group (pregnant women and women of reproductive age, mothers and mothers-in-law, community stakeholders, health workers and others). Pre-eclampsia knowledge, birth preparedness, health services engagement and perinatal outcomes was evaluated within trial surveillance. Outcomes were compared between trial arms using a mixed effects logistic regression model on RStudio (RStudio Inc, Boston, United States). Community feedback notes were thematically analysed on NVivo12 (QSR International, Melbourne, Australia). Results: A total of 1,379 community engagement meetings were conducted with 39,362 participants between November 2014 and October 2016. Community engagement activities may have had an effect on modifying community attitudes towards hypertension in pregnancy and its complications. However, rates of pre-eclampsia knowledge, birth preparedness, health services engagement and maternal morbidities among individual pregnant women were not significantly impacted by community engagement activities in their area. Conclusion: Evaluation of our community engagement program in India demonstrates the feasibility of reaching pregnant women alongside household decision-makers, community stakeholders and health workers. More research is needed to explore the pathways of impact between broad community mobilization to strengthen support for maternal care-seeking and clinical outcomes of individual pregnant women. Trial registration: Clinical Trials.gov, NCT01911494. Registered 30 July 2013, https://clinicaltrials.gov/ct2/show/NCT01911494.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".