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Articles Published Processes
9/25/2023 11:20:42 AM | Browse: 133 | Download: 351
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Received |
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2023-07-06 09:09 |
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Peer-Review Started |
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2023-07-06 09:09 |
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To Make the First Decision |
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Return for Revision |
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2023-07-27 08:34 |
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Revised |
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2023-08-09 12:05 |
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Second Decision |
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2023-09-05 02:51 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-09-05 07:30 |
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Articles in Press |
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2023-09-05 07:30 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2023-09-17 09:44 |
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Publish the Manuscript Online |
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2023-09-25 11:20 |
ISSN |
2307-8960 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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 and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Nursing |
Manuscript Type |
Retrospective Study |
Article Title |
Research on the intelligent internet nursing model based on the child respiratory and asthma control test scale for asthma management of preschool children
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Chuan-Feng Pei, Li Zhang, Xi-Yan Xu, Zhen Qin and Hong-Mei Liang |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Science and Technology Research Project of Songjiang District |
2020SJ340 |
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Corresponding Author |
Hong-Mei Liang, BSc, Nurse, Department of Nursing, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 650 Xinsongjiang Road, Songjiang District, Shanghai 201620, China. lll20230614@126.com |
Key Words |
Child respiratory and asthma control test scale; Intelligent internet nursing model; Preschoolers; Childhood asthma; Administration; Healthcare |
Core Tip |
Childhood asthma is a common respiratory disease that affects preschoolers. Asthma management in this population can be challenging due to limited communication and the need for involvement of a caregiver. This study explored the impact of an intelligent Internet care model based on the child respiratory and asthma control test (TRACK) on asthma management in preschoolers. Two hundred preschoolers were randomly divided into observation and control groups. The observation group received an intelligent Internet nursing model based on the TRACK scale. The results showed that the observation group had fewer asthma attacks and emergency visits, higher lung function, and better quality of life scores than the control group. Asthma control rate was also higher in the observation group in comparison to the control group. The present study suggests that a TRACK based intelligent internet nursing model can be an effective approach for asthma management in preschoolers. |
Publish Date |
2023-09-25 11:20 |
Citation |
Pei CF, Zhang L, Xu XY, Qin Z, Liang HM. Research on the intelligent internet nursing model based on the child respiratory and asthma control test scale for asthma management of preschool children. World J Clin Cases 2023; 11(28): 6707-6714 |
URL |
https://www.wjgnet.com/2307-8960/full/v11/i28/6707.htm |
DOI |
https://dx.doi.org/10.12998/wjcc.v11.i28.6707 |
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