Evidence map›Paper›PMID 34766910›Full record

ArticleJMIR medical informatics2021

The Relationship Between Electronic Health Record System and Performance on Quality Measures in the American College of Rheumatology's Rheumatology Informatics System for Effectiveness (RISE) Registry: Observational Study.

Nevin Hammam, Zara Izadi, Jing Li, Michael Evans, Julia Kay, Stephen Shiboski, Gabriela Schmajuk, Jinoos Yazdany

Abstract read
In one paragraph

Article in JMIR medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

8 authors.

Nevin HammamDivision of Rheumatology, Department of Medicine, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-7754-5581
Zara IzadiDivision of Rheumatology, Department of Medicine, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-1867-0905
Jing LiDivision of Rheumatology, Department of Medicine, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-3298-2112
Michael EvansDivision of Rheumatology, Department of Medicine, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-9625-212X
Julia KayDivision of Rheumatology, Department of Medicine, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-8081-5896
Stephen ShiboskiDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-9257-2609
Gabriela SchmajukDivision of Rheumatology, Department of Medicine, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-2687-5043
Jinoos YazdanyDivision of Rheumatology, Department of Medicine, University of California, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-3508-4094

Funding

RESOURCE-BASED CENTER FOR THE ADVANCEMENT OF PRECISION MEDICINE IN RHEUMATOLOGYP30AR070155 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary C Nakamura · 2016 to 2026
$8.2M
Advancing Quality and Outcomes Measurement in RheumatologyK24AR074534 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jinoos Yazdany · 2019 to 2026
$1.5M
Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE-PRO) Dissemination ProjectR18HS025638 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAZDANY, JINOOS · 2018 to 2020
$1.5M
AHRQ HHS R18 HS025638NIAMS NIH HHS K24 AR074534NIAMS NIH HHS P30 AR070155
6 · The paper itself

Abstract

backgroundRoutine collection of disease activity (DA) and patient-reported outcomes (PROs) in rheumatoid arthritis (RA) are nationally endorsed quality measures and critical components of a treat-to-target approach. However, little is known about the role electronic health record (EHR) systems play in facilitating performance on these measures.

objectiveUsing the American College Rheumatology's (ACR's) RISE registry, we analyzed the relationship between EHR system and performance on DA and functional status (FS) quality measures.

methodsWe analyzed data collected in 2018 from practices enrolled in RISE. We assessed practice-level performance on quality measures that require DA and FS documentation. Multivariable linear regression and zero-inflated negative binomial models were used to examine the independent effect of EHR system on practice-level quality measure performance, adjusting for practice characteristics and patient case-mix.

resultsIn total, 220 included practices cared for 314,793 patients with RA. NextGen was the most commonly used EHR system (34.1%). We found wide variation in performance on DA and FS quality measures by EHR system (median 30.1, IQR 0-74.8, and median 9.0, IQR 0-74.2), respectively). Even after adjustment, NextGen practices performed significantly better than Allscripts on the DA measure (51.4% vs 5.0%; P<.05) and significantly better than eClinicalWorks and eMDs on the FS measure (49.3% vs 29.0% and 10.9%; P<.05).

conclusionsPerformance on national RA quality measures was associated with the EHR system, even after adjusting for practice and patient characteristics. These findings suggest that future efforts to improve quality of care in RA should focus not only on provider performance reporting but also on developing and implementing rheumatology-specific standards across EHRs.

Indexed as

clinical informaticsdisease activityelectronic health recordmedical informaticspatient-reported outcomesperformance reportingquality measuresquality of carerheumatoid arthritis

Identifiers

PMID34766910
PMCPMC8727049

What OpenQuestion holds

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LicenceCC BY
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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.