Evidence map›Paper›PMID 36342813›Full record

ArticleJournal of global health2022

Factors associated with age-specific maternal health-seeking behaviours among women: A Multiple Indicator Cluster Survey-based study in 10 African countries.

Qiwei He, Marhaba Abdureyim, Ziwei He, Xuemei Ma, Miaojia Huang, Tiange Zhang, Xinran Qi, Jiayi Hee, Kun Tang

Abstract read
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Article in Journal of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Qiwei HeVanke School of Public Health, Tsinghua University, Beijing, P.R. China.
Marhaba AbdureyimInstitute for Hospital Management, Tsinghua University, Shenzhen, P.R. China.
Ziwei HeVanke School of Public Health, Tsinghua University, Beijing, P.R. China.
Xuemei MaInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Miaojia HuangUWA Business School, The University of Western Australia, Perth, Australia.
Tiange ZhangSchool of Nursing and Rehabilitation, Shandong University, Jinan, P.R. China.
Xinran QiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Jiayi HeeVanke School of Public Health, Tsinghua University, Beijing, P.R. China.
Kun TangVanke School of Public Health, Tsinghua University, Beijing, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Maternal health-seeking behaviours (MHSB) are crucial for maintaining maternal health and reducing the maternal mortality ratio (MMR). However, little is known about age-specific MHSB in African countries. This study aims to examine the association between composite indicators of maternal characteristics, household conditions, and socioeconomic factors with MHSB among women from different childbearing age groups in 10 African countries. Methods: Based on the responses of 77 303 women and 68 391 households in 10 African countries to a nationally-representative round of the Multiple Indicator Cluster Survey (MICS6), we used age at childbearing to categorize women into groups according to their recent MHSB. In both pooled and age-specific analysis, multivariable logistic regression was applied to identify the predictors associated with MHSB. These factors were ranked with four sets of regression models. Results: This cross-sectional study found a prevalence of 27.69% (95% confidence interval (CI) = 26.93%-28.46%), 45.14% (95% CI = 44.29%-46.00%), and 28.60% (95% CI = 27.82%-29.40%) for four or more antenatal care visits (ANC4), intrapartum care (IPC), and postnatal care (PNC) service utilization, respectively. In the full sample, high household wealth ranked as the strongest determinant for all three MHSB, followed by mass media exposure for ANC4 utilization (odds ratio (OR) = 1.45; 95% CI = 1.20-1.76, P < 0.001), and higher education levels (secondary school education) for IPC and PNC utilization (IPC: OR = 1.49; 95% CI = 1.23-1.79, P < 0.001, PNC: OR = 1.39; 95% CI = 1.20-1.62, P < 0.001). However, higher maternal parity (three births and above) was associated with lower utilization of ANC4 (OR = 0.86; 95% CI = 0.76-0.96, P < 0.007), and residence in rural areas was associated with a lower IPC and PNC utilization (IPC: OR = 0.65; 95% CI = 0.54-0.79, P < 0.001, PNC: OR = 0.70; 95% CI = 0.57-0.85, P < 0.001). Conclusions: Our study provided further information on the direct and indirect factors associated with the utilization of maternal health services by women of different childbearing ages in 10 African countries. Additionally, the heterogeneous results among different childbearing age groups suggest that age-specific programmes and national policies are crucial for improving MHSB, and thus reducing MMR in Africa.

Indexed as

Patient Acceptance of Health CarePrenatal CareAfricaAge FactorsCross-Sectional StudiesFemaleHumansPregnancySocioeconomic Factors

Identifiers

PMID36342813
PMCPMC9639747

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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.