Evidence map›Paper›PMID 28566988›Full record

ArticlePerspectives in health information managemen2017

The Impact of Order Source Misattribution on Computerized Provider Order Entry (CPOE) Performance Metrics.

George A Gellert, Linda Catzoela, Lajja Patel, Kylynn Bruner, Felix Friedman, Ricardo Ramirez, Lilliana Saucedo, S Luke Webster, John A Gillean

Open access · greenAbstract read
In one paragraph

Article in Perspectives in health information managemen, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 90% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

9 authors at 3 institutions in 2 countries.

George A GellertDepartment of Health Informatics at CHRISTUS Health in San Antonio, TX.
Linda CatzoelaCHRISTUS Health in San Antonio, TX.
Lajja PatelMedCede Physician Services in San Antonio, TX.
Kylynn BrunerCHRISTUS Health in San Antonio, TX.
Felix FriedmanEden Prairie, MN.
Ricardo RamirezCHRISTUS Health in San Antonio, TX.
Lilliana SaucedoCHRISTUS Health in San Antonio, TX.
S Luke WebsterJvion Inc., in Atlanta GA.
John A GilleanCHRISTUS Health in San Antonio, TX.
Christus Health · USJain Irrigation Systems (India) · INUrology San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne strategy to foster adoption of computerized provider order entry (CPOE) by physicians is the monthly distribution of a list identifying the number and use rate percentage of orders entered electronically versus on paper by each physician in the facility. Physicians care about CPOE use rate reports because they support the patient safety and quality improvement objectives of CPOE implementation. Certain physician groups are also motivated because they participate in contracted financial and performance arrangements that include incentive payments or financial penalties for meeting (or failing to meet) a specified CPOE use rate target. Misattribution of order sources can hinder accurate measurement of individual physician CPOE use and can thereby undermine providers' confidence in their reported performance, as well as their motivation to utilize CPOE. Misattribution of order sources also has significant patient safety, quality, and medicolegal implications.

objectiveThis analysis sought to evaluate the magnitude and sources of misattribution among hospitalists with high CPOE use and, if misattribution was found, to formulate strategies to prevent and reduce its recurrence, thereby ensuring the integrity and credibility of individual and facility CPOE use rate reporting.

methodsA detailed manual order source review and validation of all orders issued by one hospitalist group at a midsize community hospital was conducted for a one-month study period.

resultsWe found that a small but not dismissible percentage of orders issued by hospitalists-up to 4.18 percent (95 percent confidence interval, 3.84-4.56 percent) per month-were attributed inaccurately. Sources of misattribution by department or function were as follows: nursing, 42 percent; pharmacy, 38 percent; laboratory, 15 percent; unit clerk, 3 percent; and radiology, 2 percent. Order management and protocol were the most common correct order sources that were incorrectly attributed.

conclusionOrder source misattribution can negatively affect reported provider CPOE use rates and should be investigated if providers perceive discrepancies between reported rates and their actual performance. Preventive education and communication efforts across departments can help prevent and reduce misattribution.

Indexed as

BenchmarkingHospitals, CommunityHumansMedical Order Entry SystemsPractice Patterns, Physicians'computerized provider order entry (CPOE)CPOE attribution errorCPOE misattributionCPOE performance metrics

Identifiers

PMID28566988
PMCPMC5430133
OpenAlexW2623929280

What OpenQuestion holds

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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.