Evidence map›Paper›PMID 32345240›Full record

ArticleBMC pregnancy and childbirth2020

"Midwives do not appreciate pregnant women who come to the maternity with torn and dirty clothing": institutional delivery and postnatal care in Torit County, South Sudan: a mixed method study.

Pontius Bayo, Loubna Belaid, Elijo Omoro Tahir, Emmanuel Ochola, Alexander Dimiti, Donato Greco, Christina Zarowsky

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Article
  5. Article
  6. Tranexamic Acid for Postpartum Hemorrhage Treatment in Low-Resource Settings: A Rapid Scoping Review.International journal of environmental research and public health · 2022
    Article
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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

7 authors at 5 institutions in 4 countries.

Pontius BayoDepartment of Obstetrics and Gynecology, Torit State Hospital, Torit, South Sudan. pontiusby@gmail.com.
Loubna BelaidDepartment of family medicine, McGill University, Montreal, Canada.
Elijo Omoro TahirState ministry of Health, Imotong state, Torit, South Sudan.
Emmanuel OcholaDepartment of public health, St, Mary's Hospital Lacor, Gulu, Uganda.
Alexander DimitiMinistry of health, Juba, South Sudan.
Donato GrecoSchool of public health, University of Rome, Rome, Italy.
Christina ZarowskySchool of Public Health, Montreal University, Montreal, Canada.
Federal Ministry of Health · SDJA Toride Medical Center · JPMcGill University · CASt. Mary's Hospital Lacor · UGUniversité de Montréal · CA

Funding

IMCHA/IDRC 108032-001 & 108032-002 MOCHELASS
6 · The paper itself

Abstract

backgroundSouth Sudan has one of the highest maternal mortality ratios in the world, at 789 deaths per 100,000 live births. The majority of these deaths are due to complications during labor and delivery. Institutional delivery under the care of skilled attendants is a proven, effective intervention to avert some deaths. The aim was to determine the prevalence and explore the factors that affect utilization of health facilities for routine delivery and postnatal care in Torit County, South Sudan.

methodsA convergent parallel mixed method design combined a community survey among women who had delivered in the previous 12 months selected through a multistage sampling technique (n = 418) with an exploratory descriptive qualitative study. Interviews (n = 19) were conducted with policymakers, staff from non-governmental organizations and health workers. Focus group discussions (n = 12) were conducted among men and women within the communities. Bivariate and multivariate logistic regression were conducted to determine independent factors associated with institutional delivery. Thematic analysis was undertaken for the qualitative data.

resultsOf 418 participants who had delivered in the previous 12 months, 27.7% had institutional deliveries and 22.5% attended postnatal care at least once within 42 days following delivery. Four or more antenatal care visits increased institutional delivery 5 times (p < 0.001). The participants who had an institutional delivery were younger (mean age 23.3 years old) than those who had home deliveries (mean age 25.6 years). Any previous payments made for delivery in the health facility doubled the risk of home delivery (p = 0.021). Women were more likely to plan and prepare for home delivery than for institutional delivery and sought institutional delivery when complications arose. Perceived poor quality of care due to absence of health staff and lack of supplies was reported as a major barrier to institutional delivery. Women emphasized fear of discrimination based on social and economic status. Unofficial payments such as soap and sweets were reported as routine expectations and another major barrier to institutional delivery.

conclusionInterventions to stop unofficial payments and discrimination based on socio-economic status and to increase access to ANC, delivery services and PNC are needed.

Indexed as

Administrative PersonnelAdolescentAdultChildDelivery, ObstetricFemaleFocus GroupsHealth Knowledge, Attitudes, PracticeHealth PersonnelHealth Services AccessibilityHome ChildbirthHumansMaleMaternal Health ServicesOrganizationsPatient Acceptance of Health CareDeterminants of access to health care servicesIn- kind paymentsInstitutional deliveryMaternal healthMixed methodsPostnatal careQuality of careRespectful careSocial stigmaSouth Sudan

Identifiers

PMID32345240
PMCPMC7189725
OpenAlexW3020378411

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.