Evidence map›Paper›PMID 28905978›Full record

ArticleApplied clinical informatics2017

Redesign of computerized decision support to improve antimicrobial prescribing. A controlled before-and-after study.

Melissa T Baysari, Jessica Del Gigante, Maria Moran, Indy Sandaradura, Ling Li, Katrina L Richardson, Anmol Sandhu, Elin C Lehnbom, Johanna I Westbrook, Richard O Day

Abstract read
In one paragraph

Article in Applied clinical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 4 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

14 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Compulsory Indications in Hospital Prescribing Software Tested with Antibacterial Prescriptions.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
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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

10 authors.

Melissa T BaysariMelissa T. Baysari, Australian Institute of Health Innovation, Level 6 75 Talavera Rd, Macquarie University, NSW 2109 Australia, Phone +612 98502416, Melissa.baysari@mq.edu.au.
Jessica Del Gigante
Maria Moran
Indy Sandaradura
Ling Li
Katrina L Richardson
Anmol Sandhu
Elin C Lehnbom
Johanna I Westbrook
Richard O Day

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the impact of the introduction of new pre-written orders for antimicrobials in a computerized provider order entry (CPOE) system on 1) accuracy of documented indications for antimicrobials in the CPOE system, 2) appropriateness of antimicrobial prescribing, and 3) compliance with the hospital's antimicrobial policy. Prescriber opinions of the new decision support were also explored to determine why the redesign was effective or ineffective in altering prescribing practices.

methodsThe study comprised two parts: a controlled pre-post study and qualitative interviews. The intervention involved the redesign of pre-written orders for half the antimicrobials so that approved indications were incorporated into pre-written orders. 555 antimicrobials prescribed before (September - October, 2013) and 534 antimicrobials prescribed after (March - April, 2015) the intervention on all general wards of a hospital were audited by study pharmacists. Eleven prescribers participated in semi-structured interviews.

resultsRedesign of computerized decision support did not result in more appropriate or compliant antimicrobial prescribing, nor did it improve accuracy of indication documentation in the CPOE system (Intervention antimicrobials: appropriateness 49% vs. 50%; compliance 44% vs. 42%; accuracy 58% vs. 38%; all p>0.05). Via our interviews with prescribers we identified five main reasons for this, primarily that indications entered into the CPOE system were not monitored or followed-up, and that the antimicrobial approval process did not align well with prescriber workflow.

conclusionRedesign of pre-written orders to incorporate appropriate indications did not improve antimicrobial prescribing. Workarounds are likely when compliance with hospital policy creates additional work for prescribers or when system usability is poor. Implementation of IT, in the absence of support or follow-up, is unlikely to achieve all anticipated benefits.

Indexed as

Decision Support Systems, ClinicalDrug PrescriptionsAnti-Infective AgentsGuideline AdherenceHumansMedical Order Entry SystemsAnti-Infective AgentsAlertingClinical decision supportHospital information systemsMedication managementOrder entry

Identifiers

PMID28905978
PMCPMC6220696

What OpenQuestion holds

Textmetadata
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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.