Evidence map›Paper›PMID 18646085›Full record

SynthesisThe Cochrane database of systematic reviews2008

Computerized advice on drug dosage to improve prescribing practice.

Pierre Durieux, Ludovic Trinquart, Isabelle Colombet, Julie Niès, Rt Walton, Anand Rajeswaran, Myriam Rège Walther, Emma Harvey, Bernard Burnand

Registry-linked trialOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00850330 (Transversal, Multicentric Study for Early Detection of Drug Interactions in Older Hospitalized Patients Using on Line Software in Córdoba, Argentina), which is not on this map. Cited by 57 papers, 18 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 18 pooled it
7.4field-weighted citation impact, top 3% of its field
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.

NCT00850330 unknown statusnot on this mapstarted 2009, after this paper: background citation

Transversal, Multicentric Study for Early Detection of Drug Interactions in Older Hospitalized Patients Using on Line Software in Córdoba, Argentina

TypeobservationalSponsorUniversidad Nacional de CórdobaRan2009 to 2010Enrolled3,000ConditionsDrug InteractionsArmson line software to detect DI early on
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 18 syntheses or guidelines pooled it, 251 citations in OpenAlex.

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  5. Effects of health information technology on patient outcomes: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2016
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  9. Computerized advice on drug dosage to improve prescribing practice.The Cochrane database of systematic reviews · 2013
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  16. Computerized clinical decision support for prescribing: provision does not guarantee uptake.Journal of the American Medical Informatics Association : JAMIA
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 4 countries.

Pierre DurieuxService de Santé Publique, Hôpital Cochin, 27 rue du Faubourg Saint Jacques, Paris, France, 75014. pierre.durieux@cch.ap-hop-paris.fr
Ludovic Trinquart
Isabelle Colombet
Julie Niès
Rt Walton
Anand Rajeswaran
Myriam Rège Walther
Emma Harvey
Bernard Burnand
Inserm · FRUniversity of Lausanne · CHHôpital Européen Georges-Pompidou · FRHotel Dieu Hospital · CAInstitute of Social and Preventive Medicine · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaintaining therapeutic concentrations of drugs with a narrow therapeutic window is a complex task. Several computer systems have been designed to help doctors determine optimum drug dosage. Significant improvements in health care could be achieved if computer advice improved health outcomes and could be implemented in routine practice in a cost effective fashion. This is an updated version of an earlier Cochrane systematic review, by Walton et al, published in 2001.

objectivesTo assess whether computerised advice on drug dosage has beneficial effects on the process or outcome of health care. SEARCH STRATEGY: We searched the Cochrane Effective Practice and Organisation of Care Group specialized register (June 1996 to December 2006), MEDLINE (1966 to December 2006), EMBASE (1980 to December 2006), hand searched the journal Therapeutic Drug Monitoring (1979 to March 2007) and the Journal of the American Medical Informatics Association (1996 to March 2007) as well as reference lists from primary articles. SELECTION CRITERIA: Randomized controlled trials, controlled trials, controlled before and after studies and interrupted time series analyses of computerized advice on drug dosage were included. The participants were health professionals responsible for patient care. The outcomes were: any objectively measured change in the behaviour of the health care provider (such as changes in the dose of drug used); any change in the health of patients resulting from computerized advice (such as adverse reactions to drugs). DATA COLLECTION AND ANALYSIS: Two reviewers independently extracted data and assessed study quality. MAIN

resultsTwenty-six comparisons (23 articles) were included (as compared to fifteen comparisons in the original review) including a wide range of drugs in inpatient and outpatient settings. Interventions usually targeted doctors although some studies attempted to influence prescriptions by pharmacists and nurses. Although all studies used reliable outcome measures, their quality was generally low. Computerized advice for drug dosage gave significant benefits by:1.increasing the initial dose (standardised mean difference 1.12, 95% CI 0.33 to 1.92)2.increasing serum concentrations (standradised mean difference 1.12, 95% CI 0.43 to 1.82)3.reducing the time to therapeutic stabilisation (standardised mean difference -0.55, 95%CI -1.03 to -0.08)4.reducing the risk of toxic drug level (rate ratio 0.45, 95% CI 0.30 to 0.70)5.reducing the length of hospital stay (standardised mean difference -0.35, 95% CI -0.52 to -0.17). AUTHORS'

conclusionsThis review suggests that computerized advice for drug dosage has some benefits: it increased the initial dose of drug, increased serum drug concentrations and led to a more rapid therapeutic control. It also reduced the risk of toxic drug levels and the length of time spent in the hospital. However, it had no effect on adverse reactions. In addition, there was no evidence to suggest that some decision support technical features (such as its integration into a computer physician order entry system) or aspects of organization of care (such as the setting) could optimise the effect of computerised advice.

Indexed as

Drug Therapy, Computer-AssistedPractice Patterns, Physicians'HumansMedication ErrorsRandomized Controlled Trials as Topic

Identifiers

PMID18646085
OpenAlexW2134532910

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.