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

Publication date

2019-06-10

Authors

Groenhof, T. Katrien J.
Asselbergs, Folkert WORCID 0000-0002-1692-8669ISNI 0000000391548591
Groenwold, Rolf H.H.ISNI 0000000394374611
Grobbee, RickORCID 0000-0003-4472-4468ISNI 0000000030206553
Visseren, Frank L.J.ISNI 0000000389493675
Bots, Michiel LORCID 0000-0003-2871-9810ISNI 0000000391893395
Asselbergs, Folkert WORCID 0000-0002-1692-8669ISNI 0000000391548591
Nathoe, Hendrik M.ISNI 0000000387930624
de Borst, Gert JISNI 0000000396922458
Bots, Michiel LORCID 0000-0003-2871-9810ISNI 0000000391893395

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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 < 70%), pooled the results using a random-effects model. RESULTS: Of the 14,335 studies identified, 22 were included. Four studies reported on SBP, 3 on LDL-c, 10 on CVRM in patients with type II diabetes and 5 on guideline adherence. The CDSSs varied considerably in technical performance and content. Heterogeneity of results was such that quantitative pooling was often not appropriate. Among CVRM patients, the results tended towards a beneficial effect of CDSS, but only LDL-c target attainment in diabetes patients reached statistical significance. Prompting, integration into the electronical health record, patient empowerment, and medication support were related to more effective CVRM. CONCLUSION: We did not find a clear clinical benefit from CDSS in cardiovascular risk factor levels and target attainment. Some features of CDSS seem more promising than others. However, the variability in CDSS characteristics and heterogeneity of the results - emphasizing the immaturity of this research area - limit stronger conclusions. Clinical relevance of CDSS in CVRM might additionally be sought in the improvement of shared decision making and patient empowerment.

Keywords

CDSS, Computerized decision support, Cardiovascular risk management, Health Policy, Health Informatics, Research Support, Non-U.S. Gov't, Journal Article

Citation

Groenhof, T K J, Asselbergs, F W, Groenwold, R H H, Grobbee, D E, Visseren, F L J, Bots, M L, Asselbergs, F W, Nathoe, H M, de Borst, G J, Bots, M L, 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, Visseren, F L J & Westerink, J 2019, 'The effect of computerized decision support systems on cardiovascular risk factors : A systematic review and meta-analysis', BMC Medical Informatics and Decision Making, vol. 19, no. 1, 108, pp. 108. https://doi.org/10.1186/s12911-019-0824-x