Evidence map›Paper›PMID 21824384›Full record

SynthesisImplementation science : IS2011

Computerized clinical decision support systems for therapeutic drug monitoring and dosing: a decision-maker-researcher partnership systematic review.

Robby Nieuwlaat, Stuart J Connolly, Jean A Mackay, Lorraine Weise-Kelly, Tamara Navarro, Nancy L Wilczynski, R Brian Haynes, CCDSS Systematic Review Team

Abstract readSystematic Review
In one paragraph

Synthesis in Implementation science : IS, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Use of handheld computers in clinical practice: a systematic review.BMC medical informatics and decision making · 2014
    Pooled it
  6. Computer decision support systems for asthma: a systematic review.NPJ primary care respiratory medicine · 2014
    Pooled it
  7. Computerized advice on drug dosage to improve prescribing practice.The Cochrane database of systematic reviews · 2013
    Pooled it
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  18. Effects of Guideline-based Computerized Provider Order Entry Systems on the Chemotherapy Order Process: a Systematic Review.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Robby NieuwlaatPopulation Health Research Institute, McMaster University, Hamilton General Hospital Campus, 237 Barton Street East, Hamilton, ON, Canada.
Stuart J Connolly
Jean A Mackay
Lorraine Weise-Kelly
Tamara Navarro
Nancy L Wilczynski
R Brian Haynes
CCDSS Systematic Review Team

Funding

Canadian Institutes of Health Research KRS 91791
6 · The paper itself

Abstract

backgroundSome drugs have a narrow therapeutic range and require monitoring and dose adjustments to optimize their efficacy and safety. Computerized clinical decision support systems (CCDSSs) may improve the net benefit of these drugs. The objective of this review was to determine if CCDSSs improve processes of care or patient outcomes for therapeutic drug monitoring and dosing.

methodsWe conducted a decision-maker-researcher partnership systematic review. Studies from our previous review were included, and new studies were sought until January 2010 in MEDLINE, EMBASE, Evidence-Based Medicine Reviews, and Inspec databases. Randomized controlled trials assessing the effect of a CCDSS on process of care or patient outcomes were selected by pairs of independent reviewers. A study was considered to have a positive effect (i.e., CCDSS showed improvement) if at least 50% of the relevant study outcomes were statistically significantly positive.

resultsThirty-three randomized controlled trials were identified, assessing the effect of a CCDSS on management of vitamin K antagonists (14), insulin (6), theophylline/aminophylline (4), aminoglycosides (3), digoxin (2), lidocaine (1), or as part of a multifaceted approach (3). Cluster randomization was rarely used (18%) and CCDSSs were usually stand-alone systems (76%) primarily used by physicians (85%). Overall, 18 of 30 studies (60%) showed an improvement in the process of care and 4 of 19 (21%) an improvement in patient outcomes. All evaluable studies assessing insulin dosing for glycaemic control showed an improvement. In meta-analysis, CCDSSs for vitamin K antagonist dosing significantly improved time in therapeutic range.

conclusionsCCDSSs have potential for improving process of care for therapeutic drug monitoring and dosing, specifically insulin and vitamin K antagonist dosing. However, studies were small and generally of modest quality, and effects on patient outcomes were uncertain, with no convincing benefit in the largest studies. At present, no firm recommendation for specific systems can be given. More potent CCDSSs need to be developed and should be evaluated by independent researchers using cluster randomization and primarily assess patient outcomes related to drug efficacy and safety.

Indexed as

Cooperative BehaviorPractice Patterns, Physicians'Biomedical ResearchCanadaDecision MakingDecision Support Systems, ClinicalDrug MonitoringGlobal HealthHumansInsulinTreatment OutcomeVitamin KInsulinVitamin K

Identifiers

PMID21824384
PMCPMC3170236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.