Evidence map›Paper›PMID 40604524›Full record

ArticleBMC pregnancy and childbirth2025

Disrespectful care towards mothers giving birth at selected hospital in Kigali/Rwanda.

Alice Muhayimana, Irene Josephine Kearns, Aimable Nkurunziza, Olive Tengera, Claudine Muteteli, Vedaste Bagweneza, Pacifique Umubyeyi, Aline Uwase

Abstract read
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Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Alice MuhayimanaFaculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa. amuhayimana@cartafrica.org.
Irene Josephine Kearns
Aimable NkurunzizaFaculty of Education and Professional Studies, School of Nursing, Nipissing University, North Bay, Canada.
Olive TengeraSchool of Nursing and Midwifery, University of Rwanda, Kigali, Rwanda.
Claudine MuteteliSchool of Nursing and Midwifery, University of Rwanda, Kigali, Rwanda.
Vedaste BagwenezaSchool of Nursing and Midwifery, University of Rwanda, Kigali, Rwanda.
Pacifique UmubyeyiSchool of Nursing and Midwifery, University of Rwanda, Kigali, Rwanda.
Aline UwaseFaculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past decade, global public health has increasingly focused on studying the mistreatment towards women during facility-based childbirth. However, in Rwanda, research on disrespectful and abusive care experienced by mothers during childbirth remains limited. This study aimed to assess disrespect and abuse experienced by women during their recent childbirth at a selected district hospital in Kigali, Rwanda.

methodsWe conducted a cross-sectional study in a selected urban district hospital in Kigali, Rwanda. We employed systematic random sampling to select 246 mothers who recently delivered at the study site and had been discharged from the hospital but were still on the premises. We utilised descriptive statistics and calculated a summation score of nine items of disrespect and abuse to determine our outcome of interest. Subsequently, we dichotomised the outcome. Additionally, we employed chi-square analysis and logistic regression to identify predictors of disrespect and abuse.

resultsThe prevalence of disrespect and abuse was 67.48%. During the follow-up questions, 28.86% of participants reporting experiencing disrespect and abuse once and 32.52% reporting experiencing it two to eight times. Participants experienced disrespect and abuse between one and eight times. The most prevalent forms of disrespect and abuse experienced were; abandonment (n = 77), undignified care (n = 76), and lack of information on received care (n = 65). The unadjusted logistic analysis indicated that gravida 3 was significantly associated with disrespect and abuse, with a P-value of 0.022 and a crude odds ratio of 3.2 (95% CI: 1.18-9.08). However, after adjusting for other variables, this association was no longer statistically significant, as reflected by an adjusted odds ratio with P-value of 0.061.

conclusionOur study revealed the high rate of disrespect and abuse towards women during labour and childbirth. Disrespect and abuse remains a significant issue in our study setting, emphasising the need for interventions to mitigate this problem by enhancing accountability mechanisms among healthcare providers working in maternity services.

Indexed as

Attitude of Health PersonnelDelivery, ObstetricMothersParturitionProfessional-Patient RelationsRespectAdultCross-Sectional StudiesFemaleHospitals, DistrictHumansMaternal Health ServicesPregnancyRwandaYoung AdultChildbirthIntrapartumMaternityMistreatmentUndignified care

Identifiers

PMID40604524
PMCPMC12225142

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LicenceCC BY-NC-ND
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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.