Evidence map›Paper›PMID 40090696›Full record

ArticleBMJ global health2025

Levels and determinants of person-centred maternity care among women living in urban informal settlements: evidence from client exit surveys in Nairobi, Lusaka and Ouagadougou.

Safia S Jiwani, Kadari Cissé, Martin Kavao Mutua, Choolwe Jacobs, Anne Njeri, Godfrey Adero, Mwiche Musukuma, Dennis Ngosa, Fatou Bintou Sissoko, Seni Kouanda and 4 more

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

14 authors.

Safia S JiwaniDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA sjiwani1@jhu.edu.ORCID http://orcid.org/0000-0002-9896-8858
Kadari CisséCentre National de Recherche Scientifique et Technologique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso.
Martin Kavao MutuaAfrican Population and Health Research Center, Nairobi, Kenya.ORCID http://orcid.org/0000-0003-1643-9934
Choolwe JacobsEpidemiology and Biostatistics, University of Zambia School of Public Health, Lusaka, Zambia.
Anne NjeriAfrican Population and Health Research Center, Nairobi, Kenya.
Godfrey AderoAfrican Population and Health Research Center, Nairobi, Kenya.
Mwiche MusukumaEpidemiology and Biostatistics, University of Zambia School of Public Health, Lusaka, Zambia.
Dennis NgosaEpidemiology and Biostatistics, University of Zambia School of Public Health, Lusaka, Zambia.
Fatou Bintou SissokoCentre National de Recherche Scientifique et Technologique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso.
Seni KouandaCentre National de Recherche Scientifique et Technologique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso.
Amanuel AbajobirAfrican Population and Health Research Center, Nairobi, Kenya.
Cheikh Mbacké FayeAfrican Population and Health Research Center, Dakar, Senegal.ORCID http://orcid.org/0000-0002-4028-0575
Ties BoermaPopulation and Global Health, University of Manitoba, Winnipeg, Manitoba, Canada.ORCID http://orcid.org/0000-0001-9922-495X
Agbessi AmouzouDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID http://orcid.org/0000-0002-6262-3866

Funding

Gates Foundation INV-001299Gates Foundation INV-003416
6 · The paper itself

Abstract

backgroundSub-Saharan Africa's rapid urbanisation has led to the sprawling of urban informal settlements. The urban poorest women are more likely to experience worse health outcomes and poor treatment during childbirth. This study measures levels of person-centred maternity care (PCMC) and identifies determinants of PCMC among women living in urban informal settlements in Nairobi, Lusaka and Ouagadougou.

methodsWe conducted phone, home-based or facility-based exit surveys of women discharged from childbirth care in facilities serving urban informal settlements. We estimated overall and domain-specific PCMC scores covering dignity and respect, communication and autonomy, and supportive care. We ran multilevel linear regression models to identify structural, intermediary and health systems factors associated with PCMC.

resultsWe included 1249 women discharged from childbirth care: the majority were aged 20-34 years and were unemployed. In Lusaka and Nairobi, over 65% of women had secondary education, and over half gave birth in a hospital, whereas in Ouagadougou one-third had secondary education and 30.4% gave birth in a hospital. The mean PCMC score ranged from 57.1% in Lusaka to 73.8% in Ouagadougou. Across cities, women reported high dignity and respect mean scores (73.5%-84.3%), whereas communication and autonomy mean scores were consistently poor (47.6%-63.2%). In Ouagadougou, women with formal employment, those who delivered in a private for-profit facility, and whose newborn received postnatal care before discharge reported significantly higher PCMC. In Nairobi and Lusaka, women who were attended by a physician during childbirth, and those whose newborn was checked before discharge reported significantly higher PCMC.

conclusionsWomen living in urban informal settlements experience inadequate PCMC and report poor communication with health providers. Select health systems and provision of care factors are associated with PCMC in this context. Quality improvement efforts are needed to enhance PCMC and ensure women's continuity in care seeking.

Indexed as

Maternal Health ServicesPatient-Centered CareUrban PopulationAdultBurkina FasoFemaleHumansKenyaPregnancyYoung AdultMaternal health

Identifiers

PMID40090696
PMCPMC11911685

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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.