Evidence map›Paper›PMID 27821082›Full record

ArticleBMC pregnancy and childbirth2016

Self-reported pregnancy-related health problems and self-rated health status in Rwandan women postpartum: a population-based cross-sectional study.

Jean Paul S Semasaka, Gunilla Krantz, Manasse Nzayirambaho, Cyprien Munyanshongore, Kristina Edvardsson, Ingrid Mogren

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
  2. Article
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  6. Associations between Self-Rated Health and Perinatal Depressive and Anxiety Symptoms among Latina Women.International journal of environmental research and public health · 2022
    Article
  7. Observational
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  11. Measuring perinatal and postpartum quality of life of women and associated factors in semi-urban Bangladesh.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
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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

6 authors at 3 institutions in 3 countries.

Jean Paul S SemasakaDepartment of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden. jeanpaul.semasaka.sengoma@umu.se.
Gunilla KrantzDepartment of Community Medicine and Public Health, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Manasse NzayirambahoUniversity of Rwanda College of Medicine and Health Sciences School of Public Health, Kigali, Rwanda.
Cyprien MunyanshongoreUniversity of Rwanda College of Medicine and Health Sciences School of Public Health, Kigali, Rwanda.
Kristina EdvardssonDepartment of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden.
Ingrid MogrenDepartment of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden.
Umeå University · SEUniversity of Rwanda · RWUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-rated health status (SRH) can be used as a predictor of morbidity and mortality. Postpartum self-rated health has been used to estimate maternal morbidity and postpartum problems. Reproductive history factors are associated with poor self-rated health postpartum. This study investigated prevalence of self-reported health problems during first, second, and third trimesters of pregnancy, delivery, and postpartum. In addition, this study investigated SRH in Rwandan women up to 13 months from partus.

methodsThis population-based, cross-sectional study collected data in 2014 using structured interviews (N = 921). Univariable analysis was used to identify variables that were associated with poor self-rated health status (poor-SRH). Logistic regression analyses were performed to identify factors associated with poor-SRH at one day, one week, and one month postpartum and at the time of the interview.

resultsMean time between latest delivery and the time of interview was 7.1 months. Prevalence of anaemia, hypertension, diabetes mellitus during pregnancy, and severe bleeding during pregnancy and labour were 15.0, 4.9, 2.4, and 3.7 %, respectively. The prevalence of poor-SRH was 32.2 % at one day postpartum, 7.8 % at one month, and 11.7 % at time of the interview. Hypertension during pregnancy and significant postpartum haemorrhage were associated with poor-SRH at one day and one week postpartum. Severe bleeding during pregnancy and labour were associated with poor-SRH at one week and one month postpartum. Infection and anaemia during pregnancy were associated with poor-SRH at one month postpartum and at the time of interview. The Kaplan-Meier curves illustrate restitution of health for most women during the study period.

conclusionsThis population-based study reports a high prevalence of poor SRH status among Rwandan women in the early postpartum period. Identified factors associated with poor-SRH were severe bleeding, hypertension, infection, and anaemia during pregnancy and postpartum haemorrhage. These factors may be prevented or reduced by providing more frequent and specific attention during pregnancy and by providing timely measures that address complications during delivery, including adequate postpartum care.

Indexed as

Diagnostic Self EvaluationHealth StatusAdultCross-Sectional StudiesFemaleHumansPostpartum PeriodPregnancyPrevalencePuerperal DisordersRwandaSelf ReportYoung AdultCross-sectional studyPregnancyPregnancy-related complicationsReproductive historyRwandaSelf-rated health status

Identifiers

PMID27821082
PMCPMC5100328
OpenAlexW2552736247

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.