Evidence map›Paper›PMID 18667084›Full record

ArticleBMC medical informatics and decision making2008

Improving antibiotic prescribing for adults with community acquired pneumonia: Does a computerised decision support system achieve more than academic detailing alone?--A time series analysis.

Kirsty L Buising, Karin A Thursky, James F Black, Lachlan MacGregor, Alan C Street, Marcus P Kennedy, Graham V Brown

Abstract readEvaluation Study
In one paragraph

Article in BMC medical informatics and decision making, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 11 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

26 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  4. The role of information systems in emergency department decision-making-a literature review.Journal of the American Medical Informatics Association : JAMIA · 2024
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  5. Antimicrobial stewardship programs in emergency departments: how do we measure antimicrobial use? A systematic review.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2021
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  19. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2021
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  20. Evaluation of machine learning solutions in medicine.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2021
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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

7 authors.

Kirsty L BuisingVictorian Infectious Diseases Service, The Royal Melbourne Hospital, Parkville, Victoria 3050, Australia. kirsty.buising@mh.org.au
Karin A Thursky
James F Black
Lachlan MacGregor
Alan C Street
Marcus P Kennedy
Graham V Brown

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ideal method to encourage uptake of clinical guidelines in hospitals is not known. Several strategies have been suggested. This study evaluates the impact of academic detailing and a computerised decision support system (CDSS) on clinicians' prescribing behaviour for patients with community acquired pneumonia (CAP).

methodsThe management of all patients presenting to the emergency department over three successive time periods was evaluated; the baseline, academic detailing and CDSS periods. The rate of empiric antibiotic prescribing that was concordant with recommendations was studied over time comparing pre and post periods and using an interrupted time series analysis.

resultsThe odds ratio for concordant therapy in the academic detailing period, after adjustment for age, illness severity and suspicion of aspiration, compared with the baseline period was OR = 2.79 [1.88, 4.14], p < 0.01, and for the computerised decision support period compared to the academic detailing period was OR = 1.99 [1.07, 3.69], p = 0.02. During the first months of the computerised decision support period an improvement in the appropriateness of antibiotic prescribing was demonstrated, which was greater than that expected to have occurred with time and academic detailing alone, based on predictions from a binary logistic model.

conclusionDeployment of a computerised decision support system was associated with an early improvement in antibiotic prescribing practices which was greater than the changes seen with academic detailing. The sustainability of this intervention requires further evaluation.

Indexed as

Decision Support Systems, ClinicalDrug Therapy, Computer-AssistedAdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsAustraliaCohort StudiesCommunity-Acquired InfectionsEmergency Medical ServicesFemaleGuideline AdherenceHospitals, TeachingHumansLogistic ModelsAnti-Bacterial Agents

Identifiers

PMID18667084
PMCPMC2527556

What OpenQuestion holds

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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.