Online Antenatal Care During the COVID-19 Pandemic: Opportunities and Challenges.
COVID-19
SARS-CoV-2
antenatal
convenience
coronavirus disease
inequality
online education
online prenatal education
pregnancy
telehealth
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
22 07 2020
22 07 2020
Historique:
received:
10
05
2020
accepted:
13
07
2020
revised:
02
07
2020
pubmed:
14
7
2020
medline:
5
8
2020
entrez:
14
7
2020
Statut:
epublish
Résumé
People across the world have been greatly affected by the ongoing coronavirus disease (COVID-19) pandemic. The high infection risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in hospitals is particularly problematic for recently delivered mothers and currently pregnant women who require professional antenatal care. Online antenatal care would be a preferable alternative for these women since it can provide pregnancy-related information and remote clinic consultations. In addition, online antenatal care may help to provide relatively economical medical services and diminish health care inequality due to its convenience and cost-effectiveness, especially in developing countries or regions. However, some pregnant women will doubt the reliability of such online information. Therefore, it is important to ensure the quality and safety of online services and establish a stable, mutual trust between the pregnant women, the obstetric care providers and the technology vis-a-vis the online programs. Here, we report how the COVID-19 pandemic brings not only opportunities for the development and popularization of online antenatal care programs but also challenges.
Identifiants
pubmed: 32658860
pii: v22i7e19916
doi: 10.2196/19916
pmc: PMC7407486
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e19916Commentaires et corrections
Type : CommentIn
Informations de copyright
©Huailiang Wu, Weiwei Sun, Xinyu Huang, Shinning Yu, Hao Wang, Xiaoyu Bi, Jie Sheng, Sihan Chen, Babatunde Akinwunmi, Casper J P Zhang, Wai-Kit Ming. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.07.2020.
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