Evidence map›Paper›PMID 23616863›Full record

ArticleApplied clinical informatics2011

Electronic medical record prompts for lab orders in patients initiating statins.

D G Carroll, C Alexander, E A Radford, J Leeper, D N Carroll

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 84% 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.

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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

D G Carroll
C Alexander
E A Radford
J Leeper
D N Carroll
Auburn University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Institute of Medicine (IOM) reports that at least a fourth of all medication related injuries are preventable. Therefore, the IOM recommends healthcare organizations and providers implement electronic prescribing and clinical decision support systems in practices to aid in medication error prevention.

objectiveTo assess the impact of noninstrusive-intrusive prompts from an electronic medical record on recommended baseline and follow up laboratory monitoring, CK and liver transaminase levels (AST and ALT), in patients initiated on statin therapy.

methodsHybrid nonintrusive-intrusive prompts for laboratory monitoring specific for statin initiation were implemented in the electronic medical record system in a community based, university affiliated family medicine residency program. A retrospective chart review was conducted to compare and assess laboratory monitoring in patients initiated on statin therapy from two specific time periods: a six month period prior to initiation of the prompts and a six month period after initiation of the prompts.

resultsOne hundred seventy three patients met inclusion criteria. There were no significant differences in assessment of baseline liver transaminases and CK levels from the initial study period to the follow up study period. There were significant differences in follow up liver transaminase levels (18% vs 33%, p = 0.035) and CK levels (none vs 7%, p = 0.03) from the initial study period to the activated prompt interval.

conclusionA hybrid nonintrusive-intrusive specific prompts for laboratory monitoring triggered by statin initiation within an electronic medical record improved follow up lab assessments for liver transaminases and CK but did not improve baseline assessments of CK or liver transaminases.

Indexed as

ambulatory care facilitiesclinical laboratory techniquesComputerized medical recordsHMG-COAstatins

Identifiers

PMID23616863
PMCPMC3631910
OpenAlexW2068628541

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Registered trials

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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.