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Effect of Midwives' Application of Intelligent Delivery Room Management System on Delivery Outcome

OBJECTIVE: To investigate the impact of midwives using an intelligent delivery room management system on the outcome of deliveries. METHOD: A total of 100 primiparas admitted to the department of obstetrics and gynecology of our hospital from January 2019 to June 2020 were selected as the research o...

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Autores principales: Li, Xia, Zhang, Ping, Zhang, Yong, Cui, Gaiying, Du, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166941/
https://www.ncbi.nlm.nih.gov/pubmed/35669374
http://dx.doi.org/10.1155/2022/4912053
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author Li, Xia
Zhang, Ping
Zhang, Yong
Cui, Gaiying
Du, Hui
author_facet Li, Xia
Zhang, Ping
Zhang, Yong
Cui, Gaiying
Du, Hui
author_sort Li, Xia
collection PubMed
description OBJECTIVE: To investigate the impact of midwives using an intelligent delivery room management system on the outcome of deliveries. METHOD: A total of 100 primiparas admitted to the department of obstetrics and gynecology of our hospital from January 2019 to June 2020 were selected as the research objects. They were randomly assigned to one of two groups: control or observation. The control group got standard obstetric care. On the basis of the control group, midwives in the observation group applied the intelligent delivery room management system for delivery management. The outcomes of childbirth, postpartum anxiety, and postpartum depression were recorded and compared between the two groups. RESULTS: The observation group's first and second stages of labour were shorter than the control group's (P < 0.05), postpartum NRS score was lower than the control group's (P < 0.05), neonate Apgar score was higher than the control group's (P < 0.05), and the rate of vaginal delivery to caesarean section was lower than the control group's (P < 0.05). There was no statistical significance in prenatal S-AI scores between the observation group and the control group (P > 0.05). After delivery, the S-AI score of the observation group was lower than that of the control group, and the comparison result was statistically significant (P < 0.05). There was no significant difference in prenatal EPDS scores between the observation group and the control group (P > 0.05). After delivery, the EPDS score of the observation group was lower than that of the control group, and the comparison result was statistically significant (P < 0.05). CONCLUSION: Midwives may employ sophisticated delivery room management technologies to improve birth outcomes and reduce maternal anxiety and depression, and it is something that should be extensively promoted in clinic.
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spelling pubmed-91669412022-06-05 Effect of Midwives' Application of Intelligent Delivery Room Management System on Delivery Outcome Li, Xia Zhang, Ping Zhang, Yong Cui, Gaiying Du, Hui Comput Math Methods Med Research Article OBJECTIVE: To investigate the impact of midwives using an intelligent delivery room management system on the outcome of deliveries. METHOD: A total of 100 primiparas admitted to the department of obstetrics and gynecology of our hospital from January 2019 to June 2020 were selected as the research objects. They were randomly assigned to one of two groups: control or observation. The control group got standard obstetric care. On the basis of the control group, midwives in the observation group applied the intelligent delivery room management system for delivery management. The outcomes of childbirth, postpartum anxiety, and postpartum depression were recorded and compared between the two groups. RESULTS: The observation group's first and second stages of labour were shorter than the control group's (P < 0.05), postpartum NRS score was lower than the control group's (P < 0.05), neonate Apgar score was higher than the control group's (P < 0.05), and the rate of vaginal delivery to caesarean section was lower than the control group's (P < 0.05). There was no statistical significance in prenatal S-AI scores between the observation group and the control group (P > 0.05). After delivery, the S-AI score of the observation group was lower than that of the control group, and the comparison result was statistically significant (P < 0.05). There was no significant difference in prenatal EPDS scores between the observation group and the control group (P > 0.05). After delivery, the EPDS score of the observation group was lower than that of the control group, and the comparison result was statistically significant (P < 0.05). CONCLUSION: Midwives may employ sophisticated delivery room management technologies to improve birth outcomes and reduce maternal anxiety and depression, and it is something that should be extensively promoted in clinic. Hindawi 2022-05-27 /pmc/articles/PMC9166941/ /pubmed/35669374 http://dx.doi.org/10.1155/2022/4912053 Text en Copyright © 2022 Xia Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Xia
Zhang, Ping
Zhang, Yong
Cui, Gaiying
Du, Hui
Effect of Midwives' Application of Intelligent Delivery Room Management System on Delivery Outcome
title Effect of Midwives' Application of Intelligent Delivery Room Management System on Delivery Outcome
title_full Effect of Midwives' Application of Intelligent Delivery Room Management System on Delivery Outcome
title_fullStr Effect of Midwives' Application of Intelligent Delivery Room Management System on Delivery Outcome
title_full_unstemmed Effect of Midwives' Application of Intelligent Delivery Room Management System on Delivery Outcome
title_short Effect of Midwives' Application of Intelligent Delivery Room Management System on Delivery Outcome
title_sort effect of midwives' application of intelligent delivery room management system on delivery outcome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166941/
https://www.ncbi.nlm.nih.gov/pubmed/35669374
http://dx.doi.org/10.1155/2022/4912053
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