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The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis

Authors :
Groenhof, T. Katrien J.
Asselbergs, Folkert W.
Groenwold, Rolf H. H.
Grobbee, Diederick E.
Visseren, Frank L. J.
Bots, Michiel L.
Nathoe, H. M.
de Borst, G. J.
Geerlings, M. I.
Emmelot, M. H.
de Jong, P. A.
Leiner, T.
Lely, A. T.
van der Kaaij, N. P.
Kappelle, L. J.
Ruigrok, Y. M.
Verhaar, M. C.
Westerink, J.
Source :
BMC Medical Informatics and Decision Making, BMC Medical Informatics and Decision Making, 19(1), 108. BioMed Central, BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-12 (2019), BMC Medical Informatics and Decision Making, 19
Publication Year :
2019

Abstract

Background Cardiovascular risk management (CVRM) is notoriously difficult because of multi-morbidity and the different phenotypes and severities of cardiovascular disease. Computerized decision support systems (CDSS) enable the clinician to integrate the latest scientific evidence and patient information into tailored strategies. The effect on cardiovascular risk factor management is yet to be confirmed. Methods We performed a systematic review and meta-analysis evaluating the effects of CDSS on CVRM, defined as the change in absolute values and attainment of treatment goals of systolic blood pressure (SBP), low density lipoprotein cholesterol (LDL-c) and HbA1c. Also, CDSS characteristics related to more effective CVRM were identified. Eligible articles were methodologically appraised using the Cochrane risk of bias tool. We calculated mean differences, relative risks, and if appropriate (I2

Details

Language :
English
ISSN :
14726947
Database :
OpenAIRE
Journal :
BMC Medical Informatics and Decision Making, BMC Medical Informatics and Decision Making, 19(1), 108. BioMed Central, BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-12 (2019), BMC Medical Informatics and Decision Making, 19
Accession number :
edsair.doi.dedup.....1577565b429fabcc6d18160c8803da08