Literature DB >> 11217622

Childhood asthma: can computers aid detection in general practice?

S Kable1, R Henry, R Sanson-Fisher, M Ireland, R Corkrey, J Cockburn.   

Abstract

BACKGROUND: Childhood asthma remains underdiagnosed in general practice. Computers with a patient interface have the potential to screen children for asthma in a time-efficient manner. AIM: To develop a concise, validated self-report measure that calculates an 'asthma score' that predicts likelihood of asthma and its severity in childhood. DESIGN OF STUDY: Computerised questionnaire survey in general practitioners' (GPs') waiting rooms, followed by a written questionnaire and either bronchial challenge or skin allergy testing at the regional teaching hospital.
SETTING: Children between 18 months and 18 years old accompanied by a parent or guardian in five group practices in Newcastle in New South Wales, Australia.
METHOD: The responses from both the computerised questionnaire and the written questionnaire were compared with physician assessment of asthma, based on an existing validated questionnaire and clinical tests.
RESULTS: Six items were identified to be independently and significantly associated (at P < 0.05) with the presence of asthma and its severity: parent or self-reported asthma, previous diagnosis, wheeze in the past year, physical activity affected by symptoms, night cough in the past year, and visits to a GP in the past year. From the regression model a linear score was derived that indicates whether a child is likely to have asthma and its likely severity.
CONCLUSIONS: The asthma score is a valid indicator of asthma and its severity in children in general practice.

Entities:  

Mesh:

Year:  2001        PMID: 11217622      PMCID: PMC1313924     

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  28 in total

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  11 in total

1.  Rediscovering community hospitals.

Authors:  G Meads
Journal:  Br J Gen Pract       Date:  2001-02       Impact factor: 5.386

2.  Improving the diagnosis of childhood asthma.

Authors:  J Neary
Journal:  Br J Gen Pract       Date:  2001-02       Impact factor: 5.386

Review 3.  Modeling paradigms for medical diagnostic decision support: a survey and future directions.

Authors:  Kavishwar B Wagholikar; Vijayraghavan Sundararajan; Ashok W Deshpande
Journal:  J Med Syst       Date:  2011-10-01       Impact factor: 4.460

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Authors:  David L Sanders; Dominik Aronsky
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

5.  Automated chart review for asthma cohort identification using natural language processing: an exploratory study.

Authors:  Stephen T Wu; Sunghwan Sohn; K E Ravikumar; Kavishwar Wagholikar; Siddhartha R Jonnalagadda; Hongfang Liu; Young J Juhn
Journal:  Ann Allergy Asthma Immunol       Date:  2013-08-12       Impact factor: 6.347

Review 6.  Interfacing computers and the internet with your allergy practice.

Authors:  Jonathan A Bernstein
Journal:  Clin Rev Allergy Immunol       Date:  2004-10       Impact factor: 8.667

7.  Internet-based monitoring of asthma symptoms, peak flow meter readings, and absence data in a school-based clinical trial.

Authors:  Leslie A McClure; Kathy F Harrington; Holli Graham; Lynn B Gerald
Journal:  Clin Trials       Date:  2008       Impact factor: 2.486

8.  Internet and written respiratory questionnaires yield equivalent results for adolescents.

Authors:  H Raat; R T Mangunkusumo; A D Mohangoo; E F Juniper; J Van Der Lei
Journal:  Pediatr Pulmonol       Date:  2007-04

9.  Relationship between induced sputum eosinophils and the clinical pattern of childhood asthma.

Authors:  P G Gibson; J L Simpson; R Hankin; H Powell; R L Henry
Journal:  Thorax       Date:  2003-02       Impact factor: 9.139

10.  Easy diagnosis of asthma: computer-assisted, symptom-based diagnosis.

Authors:  Byoung Whui Choi; Kwang-Ha Yoo; Jae-Won Jeong; Ho Joo Yoon; Sang-Heon Kim; Yong-Mean Park; Wo-Kyung Kim; Jae-Won Oh; Yeong-Ho Rha; Bok-Yang Pyun; Suk-Il Chang; Hee-Bom Moon; You-Young Kim; Sang-Heon Cho
Journal:  J Korean Med Sci       Date:  2007-10       Impact factor: 2.153

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