Evidence map›Paper›PMID 32894110›Full record

ArticleBMC health services research2020

Trends in the use of computerized physician order entry by health-system affiliated ambulatory clinics in the United States, 2014-2016.

Shira H Fischer, Robert S Rudin, Yunfeng Shi, Paul Shekelle, Alejandro Amill-Rosario, Dennis Scanlon, Cheryl L Damberg

Abstract read
In one paragraph

Article in BMC health services research, 2020. 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
–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

4 citing papers in PubMed.

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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

7 authors.

Shira H FischerRAND Corporation, 20 Park Plaza, Suite 920, Boston, MA, 02116, USA. sfischer@rand.org.ORCID http://orcid.org/0000-0002-1124-4962
Robert S RudinRAND Corporation, 20 Park Plaza, Suite 920, Boston, MA, 02116, USA.
Yunfeng ShiPennsylvania State University, University Park, State College, PA, USA.
Paul ShekelleRAND Corporation, 1776 Main St, Santa Monica, CA, 90401, USA.
Alejandro Amill-RosarioPennsylvania State University, University Park, State College, PA, USA.
Dennis ScanlonPennsylvania State University, University Park, State College, PA, USA.
Cheryl L DambergRAND Corporation, 1776 Main St, Santa Monica, CA, 90401, USA.

Funding

AHRQ HHS U19 HS024067
6 · The paper itself

Abstract

backgroundComputerized provider order entry (CPOE) can help providers deliver better quality care. We aimed to understand recent trends in use of CPOE by health system-affiliated ambulatory clinics.

methodsWe analyzed longitudinal data (2014-2016) for 19,109 ambulatory clinics that participated in all 3 years of the Healthcare Information and Management Systems Society Analytics survey to assess use of CPOE and identify characteristics of clinics associated with CPOE use. We calculated descriptive statistics to examine overall trends in use, location of order entry (bedside vs. clinical station), and system-level use CPOE across all clinics. We used linear probability models to explore the association between clinic characteristics (practice size, practice type, and health system type) and two outcomes of interest: CPOE use at any point between 2014 and 2016, and CPOE use beginning in 2015 or 2016.

resultsBetween 2014 and 2016, use of CPOE increased more than 9 percentage points from 58 to 67%. Larger clinics and those affiliated with multi-hospital health systems were more likely to have reported use of CPOE. We found no difference in CPOE use by primary care versus specialty care clinics. When used, most clinics reported using CPOE for most or all of their orders. Health systems that used CPOE usually did so for all system-affiliated clinics.

conclusionsSmall practice size or not being part of a multi-hospital system are associated with lower use of CPOE between 2014 and 2016. Less than optimal use in these environments may be harming patient outcomes.

Indexed as

Ambulatory Care FacilitiesHumansLongitudinal StudiesMedical Order Entry SystemsQuality of Health CareUnited StatesAmbulatory clinicsComputerized provider order entryCPOEHealth systems

Identifiers

PMID32894110
PMCPMC7487802

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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.