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Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins.

ABSTRACT: Background:Healthcare delivery organizations face increasing pressure to manage the use of medications in terms of safety, waste reduction, and cost containment. Objective:To describe a computerized provider order entry (CPOE) system intervention to optimize use of a commonly ordered, high-cost therapeutic: intravenous immune globulin (IVIG). Design:Description of IVIG order configuration, medication use patterns, and subsequent order set configuration development in a CPOE system. Measurements:IVIG orders were extracted from the CPOE system before and after the implementation of a specialty orderset to determine the indications for use, dosing, and duration of therapy. Orders were compared to a theoretical dosing schedule created from published evidence and data from a prior medication use evaluation. Results:During 36 months before the implementation of the IVIG order set, 1965 IVIG orders were reviewed. The prescribed IVIG dose varied considerably from the expected dose (mean = -1.8, range = -4.9-1.5). In the 27 months after order set implementation, 848 IVIG orders were reviewed. The prescribed IVIG dose was closer to the expected dose (mean = -1.2, range = -3.9-2.6, P < .0001). Conclusions:Order configuration processes are cumbersome and time-consuming, but can be streamlined to enhance a medication's usage in the healthcare system. A better understanding of institution-specific ordering patterns may facilitate more efficient and effective order configuration and optimize drug use.

SUBMITTER: Tsapepas D

PROVIDER: S-EPMC6715593 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins.

Tsapepas Demetra D Der-Nigoghossian Caroline C Patel Khilna K Berger Karen K Vawdrey David K DK Salmasian Hojjat H

Pharmacology research & perspectives 20190829 5

<h4>Background</h4>Healthcare delivery organizations face increasing pressure to manage the use of medications in terms of safety, waste reduction, and cost containment.<h4>Objective</h4>To describe a computerized provider order entry (CPOE) system intervention to optimize use of a commonly ordered, high-cost therapeutic: intravenous immune globulin (IVIG).<h4>Design</h4>Description of IVIG order configuration, medication use patterns, and subsequent order set configuration development in a CPOE ...[more]

PMID: 31485333

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Project description:BackgroundComputerized clinical decision support systems (CDSSs) are a promising knowledge translation tool, but often fail to meaningfully influence the outcomes they target. Low CDSS provider uptake is a potential contributor to this problem but has not been systematically studied. The objective of this systematic review and meta-regression was to determine reported CDSS uptake and identify which CDSS features may influence uptake.MethodsMedline, Embase, CINAHL, and the Cochrane Database of Controlled Trials were searched from January 2000 to August 2020. Randomized, non-randomized, and quasi-experimental trials reporting CDSS uptake in any patient population or setting were included. The main outcome extracted was CDSS uptake, reported as a raw proportion, and representing the number of times the CDSS was used or accessed over the total number of times it could have been interacted with. We also extracted context, content, system, and implementation features that might influence uptake, for each CDSS. Overall weighted uptake was calculated using random-effects meta-analysis and determinants of uptake were investigated using multivariable meta-regression.ResultsAmong 7995 citations screened, 55 studies involving 373,608 patients and 3607 providers met full inclusion criteria. Meta-analysis revealed that overall CDSS uptake was 34.2% (95% CI 23.2 to 47.1%). Uptake was only reported in 12.4% of studies that otherwise met inclusion criteria. Multivariable meta-regression revealed the following factors significantly associated with uptake: (1) formally evaluating the availability and quality of the patient data needed to inform CDSS advice; and (2) identifying and addressing other barriers to the behaviour change targeted by the CDSS.Conclusions and relevanceSystem uptake was seldom reported in CDSS trials. When reported, uptake was low. This represents a major and potentially modifiable barrier to overall CDSS effectiveness. We found that features relating to CDSS context and implementation strategy best predicted uptake. Future studies should measure the impact of addressing these features as part of the CDSS implementation strategy. Uptake reporting must also become standard in future studies reporting CDSS intervention effects.RegistrationPre-registered on PROSPERO, CRD42018092337.

Project description:BackgroundThe use of computerized clinical decision support systems (CCDSSs) may improve chronic disease management, which requires recurrent visits to multiple health professionals, ongoing disease and treatment monitoring, and patient behavior modification. The objective of this review was to determine if CCDSSs improve the processes of chronic care (such as diagnosis, treatment, and monitoring of disease) and associated patient outcomes (such as effects on biomarkers and clinical exacerbations).MethodsWe conducted a decision-maker-researcher partnership systematic review. We searched MEDLINE, EMBASE, Ovid's EBM Reviews database, Inspec, and reference lists for potentially eligible articles published up to January 2010. We included randomized controlled trials that compared the use of CCDSSs to usual practice or non-CCDSS controls. Trials were eligible if at least one component of the CCDSS was designed to support chronic disease management. We considered studies 'positive' if they showed a statistically significant improvement in at least 50% of relevant outcomes.ResultsOf 55 included trials, 87% (n = 48) measured system impact on the process of care and 52% (n = 25) of those demonstrated statistically significant improvements. Sixty-five percent (36/55) of trials measured impact on, typically, non-major (surrogate) patient outcomes, and 31% (n = 11) of those demonstrated benefits. Factors of interest to decision makers, such as cost, user satisfaction, system interface and feature sets, unique design and deployment characteristics, and effects on user workflow were rarely investigated or reported.ConclusionsA small majority (just over half) of CCDSSs improved care processes in chronic disease management and some improved patient health. Policy makers, healthcare administrators, and practitioners should be aware that the evidence of CCDSS effectiveness is limited, especially with respect to the small number and size of studies measuring patient outcomes.

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Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins.

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Medication stewardship using computerized clinical decision support: A case study on intravenous immunoglobulins.

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