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Characteristics of online medical care consultation for pregnant women during the COVID-19 outbreak: cross-sectional study

OBJECTIVES: This study described the needs of pregnant women and the contents of online obstetric consultation in representative areas with various severity of the epidemic in China. DESIGN: This was a cross- sectional study. SETTING: Yue Yi Tong (YYT), a free online communication platform that allo...

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Autores principales: Chen, Miaomiao, Liu, Xiyao, Zhang, Jun, Sun, Guoqiang, Gao, Ying, Shi, Yuan, Baker, Philip, Zeng, Jing, Zheng, Yangxi, Luo, Xin, Qi, Hongbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674021/
https://www.ncbi.nlm.nih.gov/pubmed/33203639
http://dx.doi.org/10.1136/bmjopen-2020-043461
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author Chen, Miaomiao
Liu, Xiyao
Zhang, Jun
Sun, Guoqiang
Gao, Ying
Shi, Yuan
Baker, Philip
Zeng, Jing
Zheng, Yangxi
Luo, Xin
Qi, Hongbo
author_facet Chen, Miaomiao
Liu, Xiyao
Zhang, Jun
Sun, Guoqiang
Gao, Ying
Shi, Yuan
Baker, Philip
Zeng, Jing
Zheng, Yangxi
Luo, Xin
Qi, Hongbo
author_sort Chen, Miaomiao
collection PubMed
description OBJECTIVES: This study described the needs of pregnant women and the contents of online obstetric consultation in representative areas with various severity of the epidemic in China. DESIGN: This was a cross- sectional study. SETTING: Yue Yi Tong (YYT), a free online communication platform that allows pregnant women to consult professional obstetricians. PARTICIPANTS: All the pregnant women who used the YYT platform. INTERVENTION: From 10 to 23 February, we collected data on online obstetric consultations and participants’ satisfaction through the YYT platform in the mild, moderate and severe epidemic areas which were defined according to the local confirmed cases. The primary outcomes were the reasons for online consultations by the severity of the epidemic. All the comparisons were performed using χ(2) test. Statistical analysis was performed using SPSS V.24. RESULTS: A total of 2599 pregnant women participated in this study, of whom 448 (17.24%), 1332 (51.25%) and 819 (31.51%) were from the mild, moderate and severe epidemic areas, respectively. The distribution of the amount of online consultations was significantly different not only in different areas (p<0.001) but also in different trimesters (p<0.001). A total of 957 participants completed the satisfaction part of the survey. In this study, 77.95% of the participants used e-health for the first time, and 94.63% of the participants were completely or mostly satisfied with the online consultations. CONCLUSIONS: The distribution of the amount of online consultations was significantly different not only in different areas but also in different trimesters. In any trimester, the amount of consultations on the second category (obstetric care-seeking behaviour) was the highest in the severe epidemic areas. The needs for online consultations were substantial. In order to prevent irreversible obstetric adverse events, an appropriate antenatal care contingency plan with e-health services is highly recommended during the Public Health Emergency of International Concern.
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spelling pubmed-76740212020-11-20 Characteristics of online medical care consultation for pregnant women during the COVID-19 outbreak: cross-sectional study Chen, Miaomiao Liu, Xiyao Zhang, Jun Sun, Guoqiang Gao, Ying Shi, Yuan Baker, Philip Zeng, Jing Zheng, Yangxi Luo, Xin Qi, Hongbo BMJ Open Global Health OBJECTIVES: This study described the needs of pregnant women and the contents of online obstetric consultation in representative areas with various severity of the epidemic in China. DESIGN: This was a cross- sectional study. SETTING: Yue Yi Tong (YYT), a free online communication platform that allows pregnant women to consult professional obstetricians. PARTICIPANTS: All the pregnant women who used the YYT platform. INTERVENTION: From 10 to 23 February, we collected data on online obstetric consultations and participants’ satisfaction through the YYT platform in the mild, moderate and severe epidemic areas which were defined according to the local confirmed cases. The primary outcomes were the reasons for online consultations by the severity of the epidemic. All the comparisons were performed using χ(2) test. Statistical analysis was performed using SPSS V.24. RESULTS: A total of 2599 pregnant women participated in this study, of whom 448 (17.24%), 1332 (51.25%) and 819 (31.51%) were from the mild, moderate and severe epidemic areas, respectively. The distribution of the amount of online consultations was significantly different not only in different areas (p<0.001) but also in different trimesters (p<0.001). A total of 957 participants completed the satisfaction part of the survey. In this study, 77.95% of the participants used e-health for the first time, and 94.63% of the participants were completely or mostly satisfied with the online consultations. CONCLUSIONS: The distribution of the amount of online consultations was significantly different not only in different areas but also in different trimesters. In any trimester, the amount of consultations on the second category (obstetric care-seeking behaviour) was the highest in the severe epidemic areas. The needs for online consultations were substantial. In order to prevent irreversible obstetric adverse events, an appropriate antenatal care contingency plan with e-health services is highly recommended during the Public Health Emergency of International Concern. BMJ Publishing Group 2020-11-17 /pmc/articles/PMC7674021/ /pubmed/33203639 http://dx.doi.org/10.1136/bmjopen-2020-043461 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Global Health
Chen, Miaomiao
Liu, Xiyao
Zhang, Jun
Sun, Guoqiang
Gao, Ying
Shi, Yuan
Baker, Philip
Zeng, Jing
Zheng, Yangxi
Luo, Xin
Qi, Hongbo
Characteristics of online medical care consultation for pregnant women during the COVID-19 outbreak: cross-sectional study
title Characteristics of online medical care consultation for pregnant women during the COVID-19 outbreak: cross-sectional study
title_full Characteristics of online medical care consultation for pregnant women during the COVID-19 outbreak: cross-sectional study
title_fullStr Characteristics of online medical care consultation for pregnant women during the COVID-19 outbreak: cross-sectional study
title_full_unstemmed Characteristics of online medical care consultation for pregnant women during the COVID-19 outbreak: cross-sectional study
title_short Characteristics of online medical care consultation for pregnant women during the COVID-19 outbreak: cross-sectional study
title_sort characteristics of online medical care consultation for pregnant women during the covid-19 outbreak: cross-sectional study
topic Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674021/
https://www.ncbi.nlm.nih.gov/pubmed/33203639
http://dx.doi.org/10.1136/bmjopen-2020-043461
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