Research on the intelligent internet nursing model based on the child respiratory and asthma control test scale for asthma management of preschool children.
Administration
Child respiratory and asthma control test scale
Childhood asthma
Healthcare
Intelligent internet nursing model
Preschoolers
Journal
World journal of clinical cases
ISSN: 2307-8960
Titre abrégé: World J Clin Cases
Pays: United States
ID NLM: 101618806
Informations de publication
Date de publication:
06 Oct 2023
06 Oct 2023
Historique:
received:
06
07
2023
revised:
09
08
2023
accepted:
05
09
2023
medline:
30
10
2023
pubmed:
30
10
2023
entrez:
30
10
2023
Statut:
ppublish
Résumé
Childhood asthma is a common respiratory ailment that significantly affects preschool children. Effective asthma management in this population is particularly challenging due to limited communication skills in children and the necessity for consistent involvement of a caregiver. With the rise of digital healthcare and the need for innovative interventions, Internet-based models can potentially offer relatively more efficient and patient-tailored care, especially in children. To explore the impact of an intelligent Internet care model based on the child respiratory and asthma control test (TRACK) on asthma management in preschool children. The study group comprised preschoolers, aged 5 years or younger, that visited the hospital's pediatric outpatient and emergency departments between January 2021 and January 2022. Total of 200 children were evenly and randomly divided into the observation and control groups. The control group received standard treatment in accordance with the 2016 Guidelines for Pediatric Bronchial Asthma and the Global Initiative on Asthma. In addition to above treatment, the observation group was introduced to an intelligent internet nursing model, emphasizing the TRACK scale. Key measures monitored over a six-month period included the frequency of asthma attack, emergency visits, pulmonary function parameters (FEV1, FEV1/FVC, and PEF), monthly TRACK scores, and the SF-12 quality of life assessment. Post-intervention asthma control rates were assessed at six-month follow-up. The observation group had fewer asthma attacks and emergency room visits than the control group ( TRACK based Intelligent Internet nursing model may reduce asthma attacks and emergency visits in asthmatic children, improve lung function, quality of life, and the TRACK score and asthma control rate. The effect of nursing was significant, allowing for development of an asthma management model.
Sections du résumé
BACKGROUND
BACKGROUND
Childhood asthma is a common respiratory ailment that significantly affects preschool children. Effective asthma management in this population is particularly challenging due to limited communication skills in children and the necessity for consistent involvement of a caregiver. With the rise of digital healthcare and the need for innovative interventions, Internet-based models can potentially offer relatively more efficient and patient-tailored care, especially in children.
AIM
OBJECTIVE
To explore the impact of an intelligent Internet care model based on the child respiratory and asthma control test (TRACK) on asthma management in preschool children.
METHODS
METHODS
The study group comprised preschoolers, aged 5 years or younger, that visited the hospital's pediatric outpatient and emergency departments between January 2021 and January 2022. Total of 200 children were evenly and randomly divided into the observation and control groups. The control group received standard treatment in accordance with the 2016 Guidelines for Pediatric Bronchial Asthma and the Global Initiative on Asthma. In addition to above treatment, the observation group was introduced to an intelligent internet nursing model, emphasizing the TRACK scale. Key measures monitored over a six-month period included the frequency of asthma attack, emergency visits, pulmonary function parameters (FEV1, FEV1/FVC, and PEF), monthly TRACK scores, and the SF-12 quality of life assessment. Post-intervention asthma control rates were assessed at six-month follow-up.
RESULTS
RESULTS
The observation group had fewer asthma attacks and emergency room visits than the control group (
CONCLUSION
CONCLUSIONS
TRACK based Intelligent Internet nursing model may reduce asthma attacks and emergency visits in asthmatic children, improve lung function, quality of life, and the TRACK score and asthma control rate. The effect of nursing was significant, allowing for development of an asthma management model.
Identifiants
pubmed: 37901008
doi: 10.12998/wjcc.v11.i28.6707
pmc: PMC10600848
doi:
Types de publication
Journal Article
Langues
eng
Pagination
6707-6714Informations de copyright
©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
Déclaration de conflit d'intérêts
Conflict-of-interest statement: All authors declare that there are no conflicts of interest.
Références
J Allergy Clin Immunol Pract. 2023 Jan;11(1):9-18
pubmed: 36334702
Pediatrics. 2007 Mar;119(3):569-78
pubmed: 17332210
Complement Ther Clin Pract. 2021 May;43:101353
pubmed: 33756219
Ann Allergy Asthma Immunol. 2022 Feb;128(2):178-183
pubmed: 34774736
J Asthma. 2021 Aug;58(8):1111-1117
pubmed: 32312135
Pediatr Pulmonol. 2020 Dec;55(12):3243-3251
pubmed: 32930518
Front Pediatr. 2021 Jun 30;9:690333
pubmed: 34277524
Eur Ann Allergy Clin Immunol. 2021 Sep;53(5):214-220
pubmed: 33182989
J Asthma. 2023 Jan;60(1):195-202
pubmed: 35129399
Lancet Respir Med. 2021 Jun;9(6):558-560
pubmed: 33894141
N Engl J Med. 2018 May 24;378(21):2050-1
pubmed: 29792407
Pediatr Pulmonol. 2011 Jan;46(1):1-17
pubmed: 20963782
Pediatr Pulmonol. 2018 Sep;53(9):1179-1192
pubmed: 29870146
Eur Respir J. 2019 Aug 29;54(2):
pubmed: 31273040
Zhonghua Er Ke Za Zhi. 2016 Mar;54(3):167-81
pubmed: 26957061