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A computerized decision support tool to implement asthma guidelines for children and adolescents

Authors :
Agustin Calatroni
George T. O'Connor
Andrew H. Liu
William W. Busse
Peter J. Gergen
Christine A. Sorkness
Robert A. Wood
Jacqueline A. Pongracic
Gordon R. Bloomberg
Carolyn M. Kercsmar
Jeremy Wildfire
Meyer Kattan
Edward M. Zoratti
Stephen J. Teach
Rebecca S. Gruchalla
Stanley J. Szefler
Source :
J Allergy Clin Immunol
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

BACKGROUND: Multi-center randomized controlled trials (RCTs) for asthma management that incorporate usual care regimens could benefit from standardized application of evidence-based guidelines. OBJECTIVE: To evaluate performance of a computerized decision support tool, Asthma Control Evaluation and Treatment (ACET) Program, to standardize usual care regimens for asthma management in RCTs. METHODS: Children and adolescents with persistent, uncontrolled asthma, living in urban census tracts were recruited into 3 multi-center RCTs (each with a usual care arm) between 2004 and 2014. A computerized decision support tool scored asthma control and assigned an appropriate treatment step based on published guidelines. Control level determinants (symptoms, rescue medication use, pulmonary function measure, adherence estimates) were collected at visits and entered into the ACET Program. Changes in control level and treatment steps were examined during the trials. RESULTS: At screening, over half the participants were rated as not or poorly controlled. The proportion of participants who gained good control between screening and randomization increased significantly in all three trials. Between 51% and 70% were well-controlled by randomization. The proportion of well-controlled participants remained constant or improved slightly from randomization until the last post-treatment visit. Night symptoms were the most common control level determinant; there were few (

Details

ISSN :
00916749
Volume :
143
Database :
OpenAIRE
Journal :
Journal of Allergy and Clinical Immunology
Accession number :
edsair.doi.dedup.....35515b8225174522cf3499ddd411c4fd