Original Research

Factors affecting antenatal care attendance in Soweto, Johannesburg: The three-delay model

Nellie Myburgh, Thabisile Qwabi, Lunghile Shivambo, Lerato Ntsie, Andile Sokani, Maria Maixenchs, Isaac Choge, Sana Mahtab, Ziyaad Dangor, Shabir Madhi
African Journal of Primary Health Care & Family Medicine | Vol 16, No 1 | a4333 | DOI: https://doi.org/10.4102/phcfm.v16i1.4333 | © 2024 Nellie Myburgh, Thabisile Qwabi, Lunghile Shivambo, Lerato Ntsie, Andile Sokani, Maria Maixenchs, Isaac Choge, Sana Mahtab, Ziyaad Dangor, Shabir Madhi | This work is licensed under CC Attribution 4.0
Submitted: 27 September 2023 | Published: 14 June 2024

About the author(s)

Nellie Myburgh, Department of Vaccines and Infectious Disease Analytics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
Thabisile Qwabi, Department of Vaccines and Infectious Disease Analytics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
Lunghile Shivambo, Department of Vaccines and Infectious Disease Analytics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
Lerato Ntsie, Department of Vaccines and Infectious Disease Analytics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
Andile Sokani, Department of Vaccines and Infectious Disease Analytics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
Maria Maixenchs, Barcelona Institute for Global Health Hospital Clínic, Faculty of Health Sciences, Universitat de Barcelona, Barcelona, Spain
Isaac Choge, Department of Vaccines and Infectious Disease Analytics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
Sana Mahtab, Department of Vaccines and Infectious Disease Analytics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
Ziyaad Dangor, Department of Vaccines and Infectious Disease Analytics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
Shabir Madhi, Department of Vaccines & Infectious Disease Analytics, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa

Abstract

Background: Antenatal care remains critical for identifying and managing complications contributing to maternal and infant mortality, yet attendance among women in South Africa persists as a challenge.

Aim: This study aimed to understand the challenges faced by women attending antenatal care in Soweto, Johannesburg, using the three-delay model.

Setting: This study was conducted in Soweto, Johannesburg.

Methods: An exploratory, descriptive and qualitative research design was used, and in-depth interviews were conducted with 10 pregnant women and four women who had recently given birth.

Results: Findings indicate delays in seeking care due to factors such as pregnancy unawareness, waiting for visible signs, and fear of human immunodeficiency virus (HIV) testing. Challenges such as transportation difficulties, distance to clinics, and facility conditions further impeded the initiation of antenatal care. Late initiation often occurred to avoid long waits, inadequate facilities, language barriers and nurse mistreatment.

Conclusion: From this study, we learn that challenges such as unawareness of pregnancy, cultural notions of keeping pregnancy a secret, fear of HIV testing, long waiting lines, high cost of transportation fees, clinic demarcation, shortage of essential medicines, broken toilets and verbal abuse from nurses have delayed women from initiating antenatal care early in Soweto, Johannesburg.

Contribution: Challenges of women with antenatal care attendance in South Africa must be addressed by implementing community-based health education interventions, institutionalising HIV psycho-social support services and improving quality of antenatal care services in public health facilities.


Keywords

antenatal care attendance; women; pregnancy; maternal mortality; infant mortality; public clinics; three-delay model

Sustainable Development Goal

Goal 3: Good health and well-being

Metrics

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Total article views: 6728

 

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