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Navigating Sociocultural Tensions in Prenatal Care: Opportunities for Digital Health from Diverse Stakeholders in Techiman, Ghana

Sarah Dsane-Nsor et al.

Computer Supported Cooperative Work2025https://doi.org/10.1007/s10606-025-09521-5article
AJG 2ABDC B
Weight
0.41

Abstract

Pregnant women in the Global South face significant challenges due to lack of resources and informational gaps. In this paper, we take an assets-based lens to examine the experiences of pregnant women in a low-resource setting in Ghana, focusing on the role of information and technology in prenatal care. Through interviews and co-design workshops, we sought to understand the perspectives of multiple stakeholders including pregnant women, their family members, and healthcare professionals. We highlight the complexities involved in making decisions during pregnancy, including the challenges arising from the tensions between traditional healthcare practices and modern Western health services. We discuss opportunities in digital maternal health where we argue for the importance of attending to local needs and values and advocate for recognising community strengths and integrating rural care practices as valuable assets in prenatal intervention design. Our work aims to bridge some of the gaps between the theoretical understanding of digital health and the practical realities of prenatal care in low-resource settings.

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https://doi.org/https://doi.org/10.1007/s10606-025-09521-5

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@article{sarah2025,
  title        = {{Navigating Sociocultural Tensions in Prenatal Care: Opportunities for Digital Health from Diverse Stakeholders in Techiman, Ghana}},
  author       = {Sarah Dsane-Nsor et al.},
  journal      = {Computer Supported Cooperative Work},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s10606-025-09521-5},
}

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.