Evidence map›Paper›PMID 29471830›Full record

ArticleBMC health services research2018

Beyond coverage: improving the quality of antenatal care delivery through integrated mentorship and quality improvement at health centers in rural Rwanda.

Anatole Manzi, Laetitia Nyirazinyoye, Joseph Ntaganira, Hema Magge, Evariste Bigirimana, Leoncie Mukanzabikeshimana, Lisa R Hirschhorn, Bethany Hedt-Gauthier

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
20.7field-weighted citation impact, top 1% of its field
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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 86 citations in OpenAlex.

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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

8 authors at 6 institutions in 2 countries.

Anatole ManziPartners In Health, Kigali, Rwanda. mangano2020@gmail.com.ORCID 0000-0003-4563-9855
Laetitia NyirazinyoyeCollege of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Joseph NtaganiraCollege of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Hema MaggeDivision of General Pediatrics, Boston Children's Hospital, Boston, USA.
Evariste BigirimanaMinistry of Health, Government of Rwanda, Kigali, Rwanda.
Leoncie MukanzabikeshimanaMinistry of Health, Government of Rwanda, Kigali, Rwanda.
Lisa R HirschhornNorthwestern University Feinberg School of Medicine, Chicago, USA.
Bethany Hedt-GauthierPartners In Health, Kigali, Rwanda.
Ministry of Infrastructure · RWUniversity of Rwanda · RWBoston University · USHarvard University · USNorthwestern University · USPartners In Health · US

Funding

African Health Initiative of the Doris Duke Charitable Foundation 200905
6 · The paper itself

Abstract

backgroundInadequate antenatal care (ANC) can lead to missed diagnosis of danger signs or delayed referral to emergency obstetrical care, contributing to maternal mortality. In developing countries, ANC quality is often limited by skill and knowledge gaps of the health workforce. In 2011, the Mentorship, Enhanced Supervision for Healthcare and Quality Improvement (MESH-QI) program was implemented to strengthen providers' ANC performance at 21 rural health centers in Rwanda. We evaluated the effect of MESH-QI on the completeness of danger sign assessments.

methodsCompleteness of danger sign assessments was measured by expert nurse mentors using standardized observation checklists. Checklists completed from October 2010 to May 2011 (n = 330) were used as baseline measurement and checklists completed between February and November 2012 (12-15 months after the start of MESH-QI implementation) were used for follow-up. We used a mixed-effects linear regression model to assess the effect of the MESH-QI intervention on the danger sign assessment score, controlling for potential confounders and the clustering of effect at the health center level.

resultsComplete assessment of all danger signs improved from 2.1% at baseline to 84.2% after MESH-QI (p <  0.001). Similar improvements were found for 20 of 23 other essential ANC screening items. After controlling for potential confounders, the improvement in danger sign assessment score was significant. However, the effect of the MESH-QI was different by intervention district and type of observed ANC visit. In Southern Kayonza District, the increase in the danger sign assessment score was 6.28 (95% CI: 5.59, 6.98) for non-first ANC visits and 5.39 (95% CI: 4.62, 6.15) for first ANC visits. In Kirehe District, the increase in danger sign assessment score was 4.20 (95% CI: 3.59, 4.80) for non-first ANC visits and 3.30 (95% CI: 2.80, 3.81) for first ANC visits.

conclusionAssessment of critical danger signs improved under MESH-QI, even when controlling for nurse-mentees' education level and previous training in focused ANC. MESH-QI offers an approach to enhance quality of care after traditional training and may be an approach to support newer providers who have not yet attended content-focused courses.

Indexed as

MentorsRural Health ServicesFemaleHealth Services ResearchHumansPregnancyPrenatal CareQuality ImprovementRwanda

Identifiers

PMID29471830
PMCPMC5824606
OpenAlexW2802799377

What OpenQuestion holds

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LicenceCC BY
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.