Guidelines for maintenance treatment of childhood asthma: Development of a score card system by multivariate cluster analysis

Donnelly W.J., Donnelly J.E. and Thong Y.H. (1987) Guidelines for maintenance treatment of childhood asthma: Development of a score card system by multivariate cluster analysis. Social Science and Medicine, 25 9: 1033-1038. doi:10.1016/0277-9536(87)90008-6


Author Donnelly W.J.
Donnelly J.E.
Thong Y.H.
Title Guidelines for maintenance treatment of childhood asthma: Development of a score card system by multivariate cluster analysis
Journal name Social Science and Medicine   Check publisher's open access policy
ISSN 0277-9536
Publication date 1987
Sub-type Article (original research)
DOI 10.1016/0277-9536(87)90008-6
Volume 25
Issue 9
Start page 1033
End page 1038
Total pages 6
Subject 2002 Cultural Studies
2739 Public Health, Environmental and Occupational Health
3207 Social Psychology
3303 Development
3306 Health (social science)
Abstract Multivariate cluster analysis of data on 128 asthmatic children resulted in the identification of 8 major discriminating variables. Stepwise divisions by this computer programme resulted in the formation of 6 grades of severity. There was significant correlation between higher grades of severity and early onset of the disease (P < 0.02). There was also significant correlation between higher grades of severity and greater use of interval medications (P < 0.002). However, 27.3% were receiving inadequate interval medications in respect of their grade of severity. Assignation of a 5-point scale to each of the 8 major discriminating variables resulted in the generation of computer-designated scores commensurate with each grade of severity. This was coupled to current recommendations for stepwise maintenance medications appropriate for each grade. This Score Card system for maintenance management of childhood asthma may prove useful in busy clinical settings.
Keyword asthma grade
child health
interval management
multivariate cluster analysis
score card system
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import
 
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