Screening for asthma by population ranking: A validation study

Timothy Frank, Sybil Hirsch, Timothy L. Frank, Michelle Hazell, Peter I. Frank

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A neural network system was previously developed to rank a population in order of asthma probability based on responses to a postal questionnaire. Respondents ranked higher than a percentage point screening threshold are offered clinical review. The present study validates this system in a new population that had not been involved in system development. The system was used to rank respondents to a community survey and to predict positive predictive value (PPV) for percentage point thresholds between the top 1% and 10% of the ranking. Respondents in the top 10% were invited for clinical review. Review information and expert opinion was used to designate respondents as clinically "asthmatic" or "non-asthmatic." PPV prediction for each threshold was compared with clinical status of respondents. As the threshold increased from 1% to 10%, the additional yield of clinical asthmatics decreased, indicating a ranking in asthma probability order (all 7 in the top 1% were clinical asthmatics compared with 91% of the top 5% and 83% of the top 10%). Percentages of clinical asthmatics were generally slightly higher than system PPV predictions. The system ranked the population in asthma probability order and estimated PPV conservatively, enabling health-care providers to predict resource implications of a screening program. © 2004 Elsevier Inc. All rights reserved.
    Original languageEnglish
    Pages (from-to)64-70
    Number of pages6
    JournalAnnals of Epidemiology
    Volume15
    Issue number1
    DOIs
    Publication statusPublished - Jan 2005

    Keywords

    • Asthma Screening
    • Expert Opinion
    • Neural Network
    • Questionnaire

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