Evidence map›Paper›PMID 25752906›Full record

ArticleDrugs & aging2015

Impact of computerized physician order entry alerts on prescribing in older patients.

Paula E Lester, Liliana Rios-Rojas, Shahidul Islam, Melissa J Fazzari, Irving H Gomolin

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Article in Drugs & aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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

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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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Paula E LesterDivision of Geriatric Medicine, Winthrop University Hospital, 222 Station Plaza North, Suite 518, Mineola, NY, 11501, USA, plester@winthrop.org.
Liliana Rios-Rojas
Shahidul Islam
Melissa J Fazzari
Irving H Gomolin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA computerized physician order entry (CPOE) system provides opportunity for real-time alerts to prescribers. Winthrop University Hospital began using CPOE in 2009.

objectiveWe sought to improve prescribing among older hospitalized patients by adding alerts to the CPOE system for potentially inappropriate medications.

methodsIn January 2011, informational alerts were integrated into the CPOE system for selected high-risk medications: diphenhydramine, metoclopramide, and all antipsychotics. We evaluated the effect of these alerts on prescribing frequency by comparing the number of prescriptions during the second quarters of 2010 ("pre-alert") with the second quarters of 2011 through 2013 ("post-alert"). Prescribing patterns were evaluated through a pharmacy database of medication orders. Frequency of prescribing was adjusted for total discharges. A comparison was made to ages 18-64 years, and comparing "as needed" vs standing orders.

resultsIn the 65 years of age and older group, there were significant reductions in prescription rates pre-alert vs post-alert for diphenhydramine (p < 0.001) and metoclopramide (p < 0.001). There was no decrease in prescription rates for antipsychotics in older patients (p = 0.80). In the younger comparison group, no decreases in prescription rates for those drugs were observed. Our analysis is based on numbers of written prescriptions and not actual doses administered; therefore, no conclusions concerning the effect of these alerts on communication or documentation of risk/benefits of these medications can be ascertained.

conclusionThe data suggest that prescribing rates for drugs with the least efficacy and potential for harm and with alternative agents (i.e., diphenhydramine and metoclopramide) can be modified by CPOE alerts for older patients.

Indexed as

Medical Order Entry SystemsAdolescentAdultAgedAge FactorsHumansMiddle AgedPractice Patterns, Physicians'Young Adult

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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.