Evidence map›Paper›PMID 33293295›Full record

Trial reportBMJ global health2020

Improving maternal, newborn and child health outcomes through a community-based women's health education program: a cluster randomised controlled trial in western Kenya.

Lauren Y Maldonado, Jeffrey Bone, Michael L Scanlon, Gertrude Anusu, Sheilah Chelagat, Anjellah Jumah, Justus E Ikemeri, Julia J Songok, Astrid Christoffersen-Deb, Laura J Ruhl

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lauren Y MaldonadoMedicine and Pediatrics, Massachusetts General Hospital, Boston, Massachusetts, USA lymaldonado@mgh.harvard.edu.ORCID 0000-0002-8352-0815
Jeffrey BoneObstetrics and Gynecology, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-7704-1677
Michael L ScanlonPopulation Health, Academic Model Providing Access to Healthcare, Eldoret, Kenya.
Gertrude AnusuPopulation Health, Academic Model Providing Access to Healthcare, Eldoret, Kenya.
Sheilah ChelagatPopulation Health, Academic Model Providing Access to Healthcare, Eldoret, Kenya.
Anjellah JumahPopulation Health, Academic Model Providing Access to Healthcare, Eldoret, Kenya.
Justus E IkemeriPopulation Health, Academic Model Providing Access to Healthcare, Eldoret, Kenya.
Julia J Songok *Population Health, Academic Model Providing Access to Healthcare, Eldoret, Kenya.
Astrid Christoffersen-Deb *Obstetrics and Gynecology, The University of British Columbia, Vancouver, British Columbia, Canada.
Laura J Ruhl *Population Health, Academic Model Providing Access to Healthcare, Eldoret, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCommunity-based women's health education groups may improve maternal, newborn and child health (MNCH); however, evidence from sub-Saharan Africa is lacking. Chamas for Change (Chamas) is a community health volunteer (CHV)-led, group-based health education programme for pregnant and postpartum women in western Kenya. We evaluated Chamas' effect on facility-based deliveries and other MNCH outcomes.

methodsWe conducted a cluster randomised controlled trial involving 74 community health units in Trans Nzoia County. We included pregnant women who presented to health facilities for their first antenatal care visits by 32 weeks gestation. We randomised clusters 1:1 without stratification or matching; we masked data collectors, investigators and analysts to allocation. Intervention clusters were invited to bimonthly, group-based, CHV-led health lessons (Chamas); control clusters had monthly, individual CHV home visits (standard of care). The primary outcome was facility-based delivery at 12-month follow-up. We conducted an intention-to-treat approach with multilevel logistic regression models using individual-level data.

resultsBetween 27 November 2017 and 8 March 2018, we enrolled 1920 participants from 37 intervention and 37 control clusters. A total of 1550 (80.7%) participants completed the study with 822 (82.5%) and 728 (78.8%) in the intervention and control arms, respectively. Facility-based deliveries improved in the intervention arm (80.9% vs 73.0%; risk difference (RD) 7.4%, 95% CI 3.0 to 12.5, OR=1.58, 95% CI 0.97 to 2.55, p=0.057). Chamas participants also demonstrated higher rates of 48 hours postpartum visits (RD 15.3%, 95% CI 12.0 to 19.6), exclusive breastfeeding (RD 11.9%, 95% CI 7.2 to 16.9), contraceptive adoption (RD 7.2%, 95% CI 2.6 to 12.9) and infant immunisation completion (RD 15.6%, 95% CI 11.5 to 20.9).

conclusionChamas participation was associated with significantly improved MNCH outcomes compared with the standard of care. This trial contributes robust data from sub-Saharan Africa to support community-based, women's health education groups for MNCH in resource-limited settings.Trial registration numberNCT03187873.

Indexed as

Child HealthHealth EducationMaternal HealthOutcome Assessment, Health CareChildChild, PreschoolFemaleHumansInfantInfant, NewbornKenyaPregnancychild healthCluster randomised trialhealth education and promotionmaternal healthpublic health

Identifiers

PMID33293295
PMCPMC7725102

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.