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Enregistrement W4406257753 · doi:10.1101/2025.01.09.25320278

Levels and Determinants of Person-Centered Maternity Care Among Women Living in Urban Informal Settlements: Evidence from Client Exit Surveys in Nairobi, Lusaka and Ouagadougou

2025· preprint· en· W4406257753 sur OpenAlexaff
Safia S Jiwani, Kadari Cissé, Martin Kavao Mutua, Choolwe Jacobs, Anne Njeri, Godfrey Adero, Mwiche Musukuma, Dennis Ngosam, Fatou Sissoko, Séni Kouanda, Amanuel Alemu Abajobir, Cheikh Fayé, Ties Boerma, Agbessi Amouzou

Notice bibliographique

RevuemedRxiv · 2025
Typepreprint
Langueen
DomaineMedicine
ThématiqueGlobal Maternal and Child Health
Établissements canadiensUniversity of ManitobaManitoba Health
Organismes subventionnairesBill and Melinda Gates Foundation
Mots-clésInformal settlementsHuman settlementSocioeconomicsEnvironmental healthGeographyEconomic growthBusinessMedicineSociologyEconomics

Résumé

récupéré en direct d'OpenAlex

Abstract Background Sub-Saharan Africa’s rapid urbanization 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-centered maternity care (PCMC) and identifies determinants of PCMC among women living in urban informal settlements in Nairobi, Lusaka and Ouagadougou. Methods We 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. Results We included 1,249 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 a 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. Conclusion Women 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. Key Messages What is already known on this topic Despite high use of maternal and newborn health services in urban areas, health outcomes still remain worse among lower-income populations, and we know little about the quality of services and experience of care among the urban poorest women. Studies suggest that women who experience disrespect and abuse during childbirth are more likely to discontinue using health services. Person-centered maternity care (PCMC) refers to care that is respectful of and responsive to women’s needs, preferences and values. Previous studies have reported sub-optimal levels of person-centered maternity care in low-and middle-income settings. We conducted this study to evaluate the levels of PCMC and identify structural, intermediary and health systems factors associated with PCMC among low-income urban women living in informal settlements in sub-Saharan African capital cities. What this study adds Women living in urban informal settlements in Nairobi, Lusaka and Ouagadougou experience inadequate PCMC, with overall mean scores ranging from 57.1% (51.4 points out of 90) to 73.8% (66.4 points out of 90). Most women reported experiencing dignity and respect during childbirth, but communication with providers was consistently poor, with mean scores ranging from 47.6% (12.8 points out of 27) in Lusaka to 63.2% (17.1 points out of 27) in Nairobi. In Ouagadougou, women with formal employment, those who delivered in a private for-profit facility, and whose newborn received postnatal care prior to discharge reported significantly higher PCMC. In Nairobi and Lusaka, women who were attended by a physician during childbirth, and those whose newborn received postnatal care before discharge reported significantly higher PCMC. How this study affects research, practice or policy Further research is needed to understand health providers’ barriers in offering PCMC and the structures enabling PCMC. Quality improvement efforts aiming to improve interpersonal communication and provider attitudes, such as health provider trainings and mentorship, as well as leadership engagement may be promising avenues to enhance women’s experience of childbirth care in resource-constrained settings such as urban informal settlements in sub-Saharan Africa.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,172
Score d'incertitude au seuil0,342

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,047
Tête enseignante GPT0,307
Écart entre enseignants0,260 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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