Evidence map›Paper›PMID 27107453›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

Optimizing vitamin D naming conventions in computerized order entry to support high-value care.

Andrew A White, Christy M McKinney, Noah G Hoffman, Paul R Sutton

Open access · bronzeAbstract read
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Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Andrew A WhiteDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA andwhite@uw.edu.
Christy M McKinneyDepartment of Oral Health Sciences, University of Washington School of Dentistry, Seattle, WA, USA.
Noah G HoffmanDepartment of Laboratory Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Paul R SuttonDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo reduce wasteful ordering of rare 1,25-OH vitamin D lab tests through use of a noninterruptive decision support tool. MATERIALS AND

methodsWe conducted a time series quality improvement study at 2 academic hospitals. The titles of vitamin D tests and the order in which they appeared in search results were changed to reflect the purpose and rarity of the tests. We used interruptive time series analyses to evaluate the changes we made.

resultsThe estimated number of monthly tests ordered at the 2 hospitals increased, by 24.8 and 14.2, following the introduction of computerized provider order entry (CPOE) (both P < .001). When we changed the titles of the tests, the estimated number of monthly tests decreased at the 2 hospitals, by 22.1 and 11.3 (both P < .001). The search order did not affect test utilization. DISCUSSION: Changing catalog names in CPOE systems for infrequently used tests can reduce unintentional overuse. Users may prefer this to interruptive or restrictive interventions.

conclusionCPOE vendors and users should refine interfaces by incorporating human factors engineering. Health care institutions should monitor test utilization for unintended changes after CPOE implementation.

Indexed as

Medical Order Entry SystemsMedical OveruseAcademic Medical CentersCalcitriolDiagnostic Tests, RoutineHumansQuality ImprovementVitamin DVitamin D DeficiencyCalcitriolVitamin Dclinical decision supporttest naming conventionsuser interface optimizationVitamin D

Identifiers

PMID27107453
PMCPMC7654073
OpenAlexW2340278956

What OpenQuestion holds

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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.