Evidence map›Paper›PMID 36539750›Full record

ArticleBMC pregnancy and childbirth2022

Readiness of health facilities to provide safe childbirth in Liberia: a cross-sectional analysis of population surveys, facility censuses and facility birth records.

Jessica King, Alfred K Tarway-Twalla, Mardieh Dennis, Musu Pusah Twalla, Patrick K Konwloh, Chea Sanford Wesseh, Bentoe Zoogley Tehoungue, Geetor S Saydee, Oona Campbell, Carine Ronsmans

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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 at 3 institutions in 2 countries.

Jessica KingLondon School of Hygiene and Tropical Medicine, Keppel St., London, WC1E 7HT, UK. jessica.king@lshtm.ac.uk.
Alfred K Tarway-TwallaUniversity of Liberia, Capitol Hill, 1000, Monrovia, Liberia.
Mardieh DennisLast Mile Health, Tubman Boulevard, Monrovia, Liberia.
Musu Pusah TwallaUniversity of Liberia, Capitol Hill, 1000, Monrovia, Liberia.
Patrick K KonwlohMinistry of Health, P.O.Box 9009, 1000, Monrovia, Liberia.
Chea Sanford WessehMinistry of Health, P.O.Box 9009, 1000, Monrovia, Liberia.
Bentoe Zoogley TehoungueMinistry of Health, P.O.Box 9009, 1000, Monrovia, Liberia.
Geetor S SaydeeUniversity of Liberia, Capitol Hill, 1000, Monrovia, Liberia.
Oona CampbellLondon School of Hygiene and Tropical Medicine, Keppel St., London, WC1E 7HT, UK.
Carine RonsmansLondon School of Hygiene and Tropical Medicine, Keppel St., London, WC1E 7HT, UK.
University of Liberia · LRUniversity of London · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe provision of quality obstetric care in health facilities is central to reducing maternal mortality, but simply increasing childbirth in facilities not enough, with evidence that many facilities in sub-Saharan Africa do not fulfil even basic requirements for safe childbirth care. There is ongoing debate on whether to recommend a policy of birth in hospitals, where staffing and capacity may be better, over lower level facilities, which are closer to women's homes and more accessible. Little is known about the quality of childbirth care in Liberia, where facility births have increased in recent decades, but maternal mortality remains among the highest in the world. We will analyse quality in terms of readiness for emergency care and referral, staffing, and volume of births.

methodsWe assessed the readiness of the Liberian health system to provide safe care during childbirth use using three data sources: Demographic and Health Surveys (DHS), Service Availability and Readiness Assessments (SARA), and the Health Management Information System (HMIS). We estimated trends in the percentage of births by location and population caesarean-section coverage from 3 DHS surveys (2007, 2013 and 2019-20). We examined readiness for safe childbirth care among all Liberian health facilities by analysing reported emergency obstetric and neonatal care signal functions (EmONC) and staffing from SARA 2018, and linking with volume of births reported in HMIS 2019.

resultsThe percentage of births in facilities increased from 37 to 80% between 2004 and 2017, while the caesarean section rate increased from 3.3 to 5.0%. 18% of facilities could carry out basic EmONC signal functions, and 8% could provide blood transfusion and caesarean section. Overall, 63% of facility births were in places without full basic emergency readiness. 60% of facilities could not make emergency referrals, and 54% had fewer than one birth every two days.

conclusionsThe increase in proportions of facility births over time occurred because women gave birth in lower-level facilities. However, most facilities are very low volume, and cannot provide safe EmONC, even at the basic level. This presents the health system with a serious challenge for assuring safe, good-quality childbirth services.

Indexed as

Cesarean SectionMaternal Health ServicesBirth CertificatesCensusesCross-Sectional StudiesDelivery, ObstetricFemaleHealth FacilitiesHealth Services AccessibilityHumansInfant, NewbornLiberiaParturitionPregnancyEmergency obstetric and neonatal careFacility deliverySignal functionsVolume of births

Identifiers

PMID36539750
PMCPMC9764703
OpenAlexW4312080004

What OpenQuestion holds

Textmetadata
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.