Literature DB >> 21504354

An increasing trend of the delay in asthma diagnosis after the discontinuation of a population-based intervention.

Pawel Majak1, Ewa Bąk-Walczak, Iwona Stelmach, Joanna Jerzyńska, Jan Krakowiak, Włodzimierz Stelmach.   

Abstract

BACKGROUND: We have previously analyzed the delay in asthma diagnosis in children from the cohort of Asthma Prevention Program in Lodz Province, Poland. That community-based intervention focused mainly on the improvement in access to specialists. The aim of this study was reevaluation of the timelines of all recent asthma diagnoses (N = 500) in children referred to our clinic after the discontinuation of the program, that is, in the time span from 2004 to 2009.
METHODS: Subjects with no previous diagnosis of asthma but a positive asthma predictive index were labeled as having undiagnosed asthma. The time from the first medical appointment when asthma could have been diagnosed the earliest until the final diagnosis of asthma was calculated for each subject and defined as the duration of undiagnosed asthma (years). All data were obtained from children's medical documentation and through phone interviews.
RESULTS: During the intervention program, the duration of undiagnosed asthma significantly decreased. However, it showed a significant upward trend after the discontinuation of the program. After 6 years since the program was abandoned, the average undiagnosed asthma duration returned to its initial length from before the intervention. The independent statistical predictors of the delayed asthma diagnosis were the absence of atopy and suboptimal initial antiasthma therapy.
CONCLUSION: Our results revealed the following: first, general practitioners do not follow the recommended guidelines for early detection of asthma in children; and second, a greater accessibility of specialists could enhance chances of early asthma diagnosis, especially in nonatopic children.

Entities:  

Mesh:

Year:  2011        PMID: 21504354     DOI: 10.3109/02770903.2011.565851

Source DB:  PubMed          Journal:  J Asthma        ISSN: 0277-0903            Impact factor:   2.515


  3 in total

1.  Effect of diagnosis delay on pulmonary function in children with asthma.

Authors:  Xiang Ma; Zhongtao Gai; Xiaoling Wei; Min Xue; Jinyan Yan; Yuling Han; Yanqin Liu; Miao Liu; Jing Sun; Yun Zhang; Lu Cheng
Journal:  Allergy Asthma Clin Immunol       Date:  2022-10-19       Impact factor: 3.373

2.  MLBCD: a machine learning tool for big clinical data.

Authors:  Gang Luo
Journal:  Health Inf Sci Syst       Date:  2015-09-28

Review 3.  A systematic review of predictive models for asthma development in children.

Authors:  Gang Luo; Flory L Nkoy; Bryan L Stone; Darell Schmick; Michael D Johnson
Journal:  BMC Med Inform Decis Mak       Date:  2015-11-28       Impact factor: 2.796

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.