Childhood asthma: can computers aid detection in general practice?

Area of Science:

• Pediatric Pulmonology
• General Practice Diagnostics
• Health Informatics

Background:

• Childhood asthma is frequently underdiagnosed in primary care settings.
• Computer-based patient interfaces offer a potential solution for efficient asthma screening.
• Early and accurate diagnosis is crucial for effective asthma management in children.

Purpose of the Study:

• To develop and validate a brief self-report measure for predicting childhood asthma likelihood and severity.
• To create an "asthma score" using patient-reported data.
• To improve asthma detection rates in general practice.

Main Methods:

• A computerized questionnaire survey was administered in general practitioners' waiting rooms.
• Participants completed a subsequent written questionnaire and underwent clinical assessments (bronchial challenge or skin allergy testing).
• Data from computerized and written questionnaires were compared against physician-assessed asthma diagnoses.

Main Results:

• Six key indicators significantly predicted asthma presence and severity (P < 0.05): reported asthma history, prior diagnosis, wheezing, activity limitation, nocturnal cough, and recent GP visits.
• A linear regression model derived an "asthma score" to estimate the probability and severity of asthma.
• The identified factors provide a robust basis for a predictive asthma scoring system.

Conclusions:

• The developed "asthma score" is a valid and reliable indicator for diagnosing childhood asthma and assessing its severity in general practice.
• This tool can aid primary care physicians in identifying children who may have asthma.
• The score facilitates timely referral and management of pediatric asthma cases.