Evidence map›Paper›PMID 33087076›Full record

Observational studyBMC pregnancy and childbirth2020

Assessing factors associated with poor maternal mental health among mothers of children born small and sick at 24-47 months in rural Rwanda.

Marie Claire Abimana, Egide Karangwa, Ibrahim Hakizimana, Catherine M Kirk, Kathryn Beck, Ann C Miller, Silas Havugarurema, Sadallah Bahizi, Alphonsine Uwamahoro, Kim Wilson and 2 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

12 authors.

Marie Claire AbimanaPartners In Health/Inshuti Mu Buzima, Rwinkwavu, Rwanda.
Egide KarangwaPartners In Health/Inshuti Mu Buzima, Rwinkwavu, Rwanda. ekarangwa@pih.org.
Ibrahim HakizimanaPartners In Health/Inshuti Mu Buzima, Rwinkwavu, Rwanda.
Catherine M KirkPartners In Health/Inshuti Mu Buzima, Rwinkwavu, Rwanda.
Kathryn BeckPartners In Health/Inshuti Mu Buzima, Rwinkwavu, Rwanda.
Ann C MillerDivision of Global Health and Social Medicine, Harvard Medical School, Boston, USA.
Silas HavugaruremaRwanda Ministry of Health, Kirehe District Hospital, Kirehe, Rwanda.
Sadallah BahiziRwanda Ministry of Health, Kirehe District Hospital, Kirehe, Rwanda.
Alphonsine UwamahoroRwanda Ministry of Health, Kirehe District Hospital, Kirehe, Rwanda.
Kim WilsonDivision of General Pediatrics, Boston Children's Hospital, Boston, USA.
Mathieu NemerimanaPartners In Health/Inshuti Mu Buzima, Rwinkwavu, Rwanda.
Alphonse NshimyiryoPartners In Health/Inshuti Mu Buzima, Rwinkwavu, Rwanda.

Funding

Grand Challenges Canada R-SB-POC-1707-09583
6 · The paper itself

Abstract

backgroundGlobal investments in neonatal survival have resulted in a growing number of children with morbidities surviving and requiring ongoing care. Little is known about the caregivers of these children in low- and middle-income countries, including maternal mental health which can further negatively impact child health and development outcomes. We aimed to assess the prevalence and factors associated with poor maternal mental health in mothers of children born preterm, low birthweight (LBW), and with hypoxic ischemic encephalopathy (HIE) at 24-47 months of age in rural Rwanda.

methodsCross-sectional study of children 24-47 months born preterm, LBW, or with HIE, and their mothers discharged from the Neonatal Care Unit (NCU) at Kirehe Hospital between May 2015-April 2016 or discharged and enrolled in a NCU follow-up program from May 2016-November 2017. Households were interviewed between October 2018 and June 2019. Mothers reported on their mental health and their child's development; children's anthropometrics were measured directly. Backwards stepwise procedures were used to assess factors associated with poor maternal mental health using logistic regression.

resultsOf 287 total children, 189 (65.9%) were born preterm/LBW and 34.1% had HIE and 213 (74.2%) screened positive for potential caregiver-reported disability. Half (n = 148, 51.6%) of mothers reported poor mental health. In the final model, poor maternal mental health was significantly associated with use of violent discipline (Odds Ratio [OR] 2.29, 95% Confidence Interval [CI] 1.17,4.45) and having a child with caregiver-reported disability (OR 2.96, 95% CI 1.55, 5.67). Greater household food security (OR 0.80, 95% CI 0.70-0.92) and being married (OR = 0.12, 95% CI 0.04-0.36) or living together as if married (OR = 0.13, 95% CI 0.05, 0.37) reduced the odds of poor mental health.

conclusionsHalf of mothers of children born preterm, LBW and with HIE had poor mental health indicating a need for interventions to identify and address maternal mental health in this population. Mother's poor mental health was also associated with negative parenting practices. Specific interventions targeting mothers of children with disabilities, single mothers, and food insecure households could be additionally beneficial given their strong association with poor maternal mental health.

Indexed as

AdultChild, PreschoolCross-Sectional StudiesFemaleFollow-Up StudiesFood SecurityHumansInfantInfant, Low Birth WeightInfant, NewbornInfant, PrematureMaleMarital StatusMaternal AgeMaternal HealthMental HealthDevelopmental disabilityLow birthweightMaternal mental healthNurturing carePrematurityRwandaToxic stress

Identifiers

PMID33087076
PMCPMC7579859

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.