Evidence map›Paper›PMID 32898139›Full record

ArticlePloS one2020

Applying the Robson classification to routine facility data to understand the Caesarean section practice in conflict settings of South Kivu, eastern DR Congo.

Guy Mulinganya, Espoir Bwenge Malembaka, Melissa Lukula Akonkwa, Dieudonné Mpunga Mukendi, Etienne Kajibwami Birindwa, Ghislain Maheshe Balemba, Marleen Temmerman, Albert Mwembo Tambwe, Bart Criel, Ghislain Bisimwa Balaluka

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.2field-weighted citation impact, top 40% 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, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  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 5 institutions in 3 countries.

Guy MulinganyaDepartment of Gynecology and Obstetrics, Faculty of Medicine, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo.
Espoir Bwenge MalembakaEcole Régionale de Santé Publique, ERSP, Faculté de Médecine, Univesité Catholique de Bukavu, Bukavu, Democratic Republic of Congo.ORCID 0000-0001-9306-0253
Melissa Lukula AkonkwaRenforcement Institutionnel Pour des Politiques de Santé Basées sur l'Evidence, Democratic Republic of Congo, Lubumbashi, Democratic Republic of Congo.
Dieudonné Mpunga MukendiRenforcement Institutionnel Pour des Politiques de Santé Basées sur l'Evidence, Democratic Republic of Congo, Lubumbashi, Democratic Republic of Congo.
Etienne Kajibwami BirindwaDepartment of Gynecology and Obstetrics, Faculty of Medicine, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo.
Ghislain Maheshe BalembaEcole Régionale de Santé Publique, ERSP, Faculté de Médecine, Univesité Catholique de Bukavu, Bukavu, Democratic Republic of Congo.
Marleen TemmermanFaculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Albert Mwembo TambweRenforcement Institutionnel Pour des Politiques de Santé Basées sur l'Evidence, Democratic Republic of Congo, Lubumbashi, Democratic Republic of Congo.
Bart CrielRenforcement Institutionnel Pour des Politiques de Santé Basées sur l'Evidence, Democratic Republic of Congo, Lubumbashi, Democratic Republic of Congo.
Ghislain Bisimwa BalalukaRenforcement Institutionnel Pour des Politiques de Santé Basées sur l'Evidence, Democratic Republic of Congo, Lubumbashi, Democratic Republic of Congo.
Université Catholique de Bukavu · CDGhent University · BEInstituut voor Tropische Geneeskunde · BEUniversity of Kinshasa · CDUniversity of Lubumbashi · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSub-Saharan Africa has low Caesarean (CS) levels, despite a global increase in CS use. In conflict settings, the pattern of CS use is unclear because of scanty data. We aimed to examine the opportunity of using routine facility data to describe the CS use in conflict settings.

methodsWe conducted a facility-based cross-sectional study in 8 health zones (HZ) of South Kivu province in eastern DR Congo. We reviewed patient hospital records, maternity registers and operative protocol books, from January to December 2018. Data on direct conflict fatalities were obtained from the Uppsala Conflict Data Program. Based on conflict intensity and chronicity (expressed as a 6-year cumulative conflict death rate), HZ were classified as unstable (higher conflict death rate), intermediate and stable (lower conflict death rate). To describe the Caesarean section practice, we used the Robson classification system. Based on parity, history of previous CS, onset of labour, foetal lie and presentation, number of neonates and gestational age, the Robson classification categorises deliveries into 10 mutually exclusive groups. We performed a descriptive analysis of the relative contribution of each Robson group to the overall CS rate in the conflict stratum.

resultsAmong the 29,600 deliveries reported by health facilities, 5,520 (18.6%) were by CS; 5,325 (96.5%) records were reviewed, of which 2,883 (54.1%) could be classified. The overall estimated population CS rate was 6.9%. The proportion of health facility deliveries that occurred in secondary hospitals was much smaller in unstable health zones (22.4%) than in intermediate (40.25) or stable health zones (43.0%). Robson groups 5 (previous CS, single cephalic, ≥ 37 weeks), 1 (nulliparous, single cephalic, ≥ 37 weeks, spontaneous labour) and 3 (multiparous, no previous CS, single cephalic, ≥ 37 weeks, spontaneous labour) were the leading contributors to the overall CS rate; and represented 75% of all CS deliveries. In unstable zones, previous CS (27.1%) and abnormal position of the fetus (breech, transverse lie, 3.3%) were much less frequent than in unstable and intermediate (44.3% and 6.0% respectively) and stable (46.7%and 6.2% respectively). Premature delivery and multiple pregnancy were more prominent Robson groups in unstable zones.

conclusionIn South Kivu province, conflict exposure is linked with an uneven estimated CS rate at HZ level with at high-risks women in conflict affected settings likely to have lower access to CS compared to low-risk mothers in stable health zones.

Indexed as

Cesarean SectionLabor PresentationParityAdultBreech PresentationCongoCross-Sectional StudiesFemaleGestational AgeHumansInfant, NewbornPregnancyPregnancy, MultiplePremature BirthSocioeconomic FactorsYoung Adult

Identifiers

PMID32898139
PMCPMC7478810
OpenAlexW3083831826

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.