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Resource use and cost associated with computerized decision support system and usual care in managing patients with atrial fibrillation: analysis of IMPACT-AF randomized trial data.

Authors :
Humphries B
Cox JL
Parkash R
Thabane L
Foster GA
MacKillop J
Nemis-White J
Hamilton L
Ciaccia A
Choudhri SH
Kovic B
Xie F
Source :
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2023 Oct 18; Vol. 23 (1), pp. 228. Date of Electronic Publication: 2023 Oct 18.
Publication Year :
2023

Abstract

Background: IMPACT-AF is a prospective, randomized, cluster design trial comparing atrial fibrillation (AF) management with a computerized decision support system (CDS) to usual care (control) in the primary care setting of Nova Scotia, Canada. The objective of this analysis was to compare the resource use and costs between CDS and usual care groups.<br />Methods: Case costing data, 12-month self-administered questionnaires, and monthly diaries from IMPACT-AF were used in this analysis. Descriptive statistics were used to compare costs and resource use between groups. All costs are presented in 2021 Canadian dollars and cover the 12-month period of participation in the study.<br />Results: A total of 1,145 patients enrolled in the trial. Case costing data were available for 466 participants (41.1%), 12-month self-administered questionnaire data for 635 participants (56.0%) and monthly diary data for 223 participants (19.7%). Emergency department visits and hospitalizations comprised the most expensive component of AF care. Across all three datasets, there were no statistically significant differences in costs or resource use between CDS and usual care groups.<br />Conclusions: Although there were no significant differences in resource use or costs among CDS and usual care groups in the IMPACT-AF trial, this study provides insight into the methodology and practical challenges of collecting economic data alongside a trial.<br />Registration: Clinicaltrials.gov (registration number: NCT01927367, date of registration: 2013-08-20).<br /> (© 2023. BioMed Central Ltd., part of Springer Nature.)

Details

Language :
English
ISSN :
1472-6947
Volume :
23
Issue :
1
Database :
MEDLINE
Journal :
BMC medical informatics and decision making
Publication Type :
Academic Journal
Accession number :
37853351
Full Text :
https://doi.org/10.1186/s12911-023-02329-7