Effective coverage of antenatal care and associated factors among pregnant women in Tanzania: a multilevel analysis

BackgroundAntenatal care (ANC) is a crucial part of reproductive health care, providing opportunities for health promotion, screening, diagnosis, and illness prevention. However, evidence has shown that poor-quality ANC is prevalent. Therefore, this study aimed to investigate the effective coverage...

Full description

Saved in:
Bibliographic Details
Main Authors: Amanuel Yosef Gebrekidan, Beshada Zerfu Woldegeorgis, Gizachew Ambaw Kassie, Kirubel Eshetu Haile, Ashenafi Teklay Abrha, Angwach Abrham Asnake, Yordanos Sisay Asgedom
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Global Women's Health
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgwh.2025.1477666/full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849239256155815936
author Amanuel Yosef Gebrekidan
Beshada Zerfu Woldegeorgis
Gizachew Ambaw Kassie
Kirubel Eshetu Haile
Ashenafi Teklay Abrha
Angwach Abrham Asnake
Yordanos Sisay Asgedom
author_facet Amanuel Yosef Gebrekidan
Beshada Zerfu Woldegeorgis
Gizachew Ambaw Kassie
Kirubel Eshetu Haile
Ashenafi Teklay Abrha
Angwach Abrham Asnake
Yordanos Sisay Asgedom
author_sort Amanuel Yosef Gebrekidan
collection DOAJ
description BackgroundAntenatal care (ANC) is a crucial part of reproductive health care, providing opportunities for health promotion, screening, diagnosis, and illness prevention. However, evidence has shown that poor-quality ANC is prevalent. Therefore, this study aimed to investigate the effective coverage (quality-adjusted coverage) of ANC and its associated factors among pregnant women in Tanzania.MethodsThis research was based on data from the 2022 Tanzania Demographic and Health Survey. The study utilized a weighted sample of 3,890 pregnant women. Given the influence of clustering and the binary nature of the outcome variable, we used a multilevel binary logistic regression model. Statistical significance was determined using the adjusted odds ratio (AOR) with a 95% confidence interval (CI), taking into account the model with the lowest deviation that best matched the data.ResultsIn this study, the effective coverage of ANC was 39.3% [95% confidence interval (CI): 37.8, 40.8]. After considering both individual- and community-level variables, women's age, educational status, husbands’/partners’ employment status, wealth index, number of ANC visits, administrative zones, and urban residence were all found to have statistically significant associations with effective ANC coverage among pregnant women in Tanzania.ConclusionOnly four out of ten pregnant women received effective ANC (quality-adjusted ANC), underscoring that crude coverage and access to healthcare do not ensure quality ANC. Emphasis should be placed on integrating component-based indicators. Furthermore, all attempts to provide all components should be considered during women's first visit, in addition to the need to increase the number of visits by pregnant women. Additionally, more attention should be paid to disadvantaged groups in terms of wealth and residence, and the fee exemption strategy should be supported by boosting the availability of healthcare supplies, particularly in remote areas.
format Article
id doaj-art-ab694ba7298e4b2290f7384dcbcf951f
institution Kabale University
issn 2673-5059
language English
publishDate 2025-08-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Global Women's Health
spelling doaj-art-ab694ba7298e4b2290f7384dcbcf951f2025-08-20T04:01:03ZengFrontiers Media S.A.Frontiers in Global Women's Health2673-50592025-08-01610.3389/fgwh.2025.14776661477666Effective coverage of antenatal care and associated factors among pregnant women in Tanzania: a multilevel analysisAmanuel Yosef Gebrekidan0Beshada Zerfu Woldegeorgis1Gizachew Ambaw Kassie2Kirubel Eshetu Haile3Ashenafi Teklay Abrha4Angwach Abrham Asnake5Yordanos Sisay Asgedom6School of Public Health, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Sodo, EthiopiaDepartment of Internal Medicine, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Sodo, EthiopiaSchool of Public Health, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Sodo, EthiopiaSchool of Nursing, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Sodo, EthiopiaPrevention Case Team, Subuha Seasie Woreda Health Office, Edagahamus, Tigray, EthiopiaSchool of Public Health, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Sodo, EthiopiaSchool of Public Health, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Sodo, EthiopiaBackgroundAntenatal care (ANC) is a crucial part of reproductive health care, providing opportunities for health promotion, screening, diagnosis, and illness prevention. However, evidence has shown that poor-quality ANC is prevalent. Therefore, this study aimed to investigate the effective coverage (quality-adjusted coverage) of ANC and its associated factors among pregnant women in Tanzania.MethodsThis research was based on data from the 2022 Tanzania Demographic and Health Survey. The study utilized a weighted sample of 3,890 pregnant women. Given the influence of clustering and the binary nature of the outcome variable, we used a multilevel binary logistic regression model. Statistical significance was determined using the adjusted odds ratio (AOR) with a 95% confidence interval (CI), taking into account the model with the lowest deviation that best matched the data.ResultsIn this study, the effective coverage of ANC was 39.3% [95% confidence interval (CI): 37.8, 40.8]. After considering both individual- and community-level variables, women's age, educational status, husbands’/partners’ employment status, wealth index, number of ANC visits, administrative zones, and urban residence were all found to have statistically significant associations with effective ANC coverage among pregnant women in Tanzania.ConclusionOnly four out of ten pregnant women received effective ANC (quality-adjusted ANC), underscoring that crude coverage and access to healthcare do not ensure quality ANC. Emphasis should be placed on integrating component-based indicators. Furthermore, all attempts to provide all components should be considered during women's first visit, in addition to the need to increase the number of visits by pregnant women. Additionally, more attention should be paid to disadvantaged groups in terms of wealth and residence, and the fee exemption strategy should be supported by boosting the availability of healthcare supplies, particularly in remote areas.https://www.frontiersin.org/articles/10.3389/fgwh.2025.1477666/fullantenatal careeffective coveragemultilevel analysisqualityTanzania
spellingShingle Amanuel Yosef Gebrekidan
Beshada Zerfu Woldegeorgis
Gizachew Ambaw Kassie
Kirubel Eshetu Haile
Ashenafi Teklay Abrha
Angwach Abrham Asnake
Yordanos Sisay Asgedom
Effective coverage of antenatal care and associated factors among pregnant women in Tanzania: a multilevel analysis
Frontiers in Global Women's Health
antenatal care
effective coverage
multilevel analysis
quality
Tanzania
title Effective coverage of antenatal care and associated factors among pregnant women in Tanzania: a multilevel analysis
title_full Effective coverage of antenatal care and associated factors among pregnant women in Tanzania: a multilevel analysis
title_fullStr Effective coverage of antenatal care and associated factors among pregnant women in Tanzania: a multilevel analysis
title_full_unstemmed Effective coverage of antenatal care and associated factors among pregnant women in Tanzania: a multilevel analysis
title_short Effective coverage of antenatal care and associated factors among pregnant women in Tanzania: a multilevel analysis
title_sort effective coverage of antenatal care and associated factors among pregnant women in tanzania a multilevel analysis
topic antenatal care
effective coverage
multilevel analysis
quality
Tanzania
url https://www.frontiersin.org/articles/10.3389/fgwh.2025.1477666/full
work_keys_str_mv AT amanuelyosefgebrekidan effectivecoverageofantenatalcareandassociatedfactorsamongpregnantwomenintanzaniaamultilevelanalysis
AT beshadazerfuwoldegeorgis effectivecoverageofantenatalcareandassociatedfactorsamongpregnantwomenintanzaniaamultilevelanalysis
AT gizachewambawkassie effectivecoverageofantenatalcareandassociatedfactorsamongpregnantwomenintanzaniaamultilevelanalysis
AT kirubeleshetuhaile effectivecoverageofantenatalcareandassociatedfactorsamongpregnantwomenintanzaniaamultilevelanalysis
AT ashenafiteklayabrha effectivecoverageofantenatalcareandassociatedfactorsamongpregnantwomenintanzaniaamultilevelanalysis
AT angwachabrhamasnake effectivecoverageofantenatalcareandassociatedfactorsamongpregnantwomenintanzaniaamultilevelanalysis
AT yordanossisayasgedom effectivecoverageofantenatalcareandassociatedfactorsamongpregnantwomenintanzaniaamultilevelanalysis