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ORIGINAL RESEARCH article
Front. Digit. Health
Sec. Human Factors and Digital Health
Volume 7 - 2025 |
doi: 10.3389/fdgth.2025.1479392
This article is part of the Research Topic Digital Health Technologies for Shared Decision Making View all 10 articles
What Social Media Analyses Can Tell Us About Ghanaian Women's Concerns during Pregnancy
Provisionally accepted- 1 University of Pittsburgh, Pittsburgh, United States
- 2 University of Rochester, Rochester, New York, United States
- 3 SIT Graduate Institute, Brattleboro, Vermont, United States
- 4 University of Texas Southwestern Medical Center, Dallas, Texas, United States
- 5 Vonsung, Kigali, Rwanda
- 6 MidWife Sally Organization, Dawhenya, Ghana
A total of 3328 posts were extracted and 3322 were analyzed after removing 6 empty posts. Seven major topics with listed subtopics were identified: Pregnant (693 posts): personal physiological changes, exercise during pregnancy, medication (e.g. anti-malarials, pain killers) Delivery (367): emergency delivery, vaginal/caesarean birthing, breastmilk production, exercise during pregnancy Pain (350): location of pain and pain relief modalities (e.g. exercise, medication, sleep) Breastfeeding (248): delivery, emergency service, milk production Water (174): cold water consumption, infant feeding (e.g. gripe water, constipation, formula) Sleeping ( 165): discomfort, sleeping positions, exercise to induce sleep, sleep as a natural analgesic Antenatal (124): fetal growth, progress, hospital selection Of note, content from "Pregnant", "Delivery" and "Sleeping" included mentions of depression, while "Breastfeeding" highlighted cultural approaches to increasing milk production.The sentiment analysis showed that 43.4% of the responses were neutral and primarily focused on seeking information. Negative sentiments, which were more distressing, comprised 46.4% of the responses, while positive sentiments, had a celebratory tone and represented 10.2% of the data. CONCLUSION Social media analysis, previously employed in high income settings, can provide impactful, granular snapshots of pregnant people's concerns in the African region, which could be used to inform social media interventions aimed at filling educational gaps in antenatal care for those without adequate healthcare access.With the growing ease of access to the internet with more portable, personal technologies, many users turn to social media for not only networking, but also to share and receive health advice. Current research on social media use during pregnancy has largely been conducted in high-income countries like the United States. Our study fills a major gap in current research by focusing on the pregnancy concerns of social media users in Ghana, West Africa. This research is of paramount importance as maternal mortality rates in the African region remain amongst the highest in the world, necessitating an emphasis on pregnant women's needs and concerns in this region. Ultimately, our findings can be utilized to inform tailored educational interventions that harness the connecting power of social media.
Keywords: Pregnancy, Ghana, Africa, Social Media, machine learning, facebook
Received: 12 Aug 2024; Accepted: 10 Jan 2025.
Copyright: © 2025 Anto-Ocrah, Valachovic, Lanning, Ghanem, Couturier, Hakizimana, Niyomugabo, Affan, Vempalli and Kodam. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Martina Anto-Ocrah, University of Pittsburgh, Pittsburgh, United States
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