Evidence map›Paper›PMID 35392743›Full record

ArticleCOPD2022

The Impact of an Electronic Health Record Intervention on Spirometry Completion in Patients with Chronic Obstructive Pulmonary Disease.

Christine Wang, Jonathan Siff, Peter J Greco, Edward Warren, J Daryl Thornton, Yasir Tarabichi

Open access · goldAbstract read
In one paragraph

Article in COPD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Christine WangSchool of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Jonathan SiffCenter for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH, USA.
Peter J GrecoCenter for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH, USA.
Edward WarrenDivision of Pulmonary, Critical Care, and Sleep Medicine, The MetroHealth System, Cleveland, OH, USA.
J Daryl ThorntonThe Population Health Research Institute, The MetroHealth System, Cleveland, OH, USA.
Yasir TarabichiCenter for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH, USA.
MetroHealth · USCase Western Reserve University · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Using Lay Health Advisors to Help African American Patients Address the Social Context of HypertensionU54MD002265 · NIMHD · CASE WESTERN RESERVE UNIVERSITY · PI SEHGAL, ASHWINI · 2017 to 2021
$7.1M
NCATS NIH HHS UL1 TR002548NIMHD NIH HHS U54 MD002265
6 · The paper itself

Abstract

Spirometry is necessary to diagnose chronic obstructive pulmonary disease (COPD), yet a large proportion of patients are diagnosed and treated without having received testing. This study explored whether the effects of interventions using the electronic health record (EHR) to target patients diagnosed with COPD without confirmatory spirometry impacted the incidence rates of spirometry referrals and completions. This retrospective before and after study assessed the impact of provider-facing clinical decision support that identified patients who had a diagnosis of COPD but had not received spirometry. Spirometry referrals, completions, and results were ascertained 1.5 years prior to and 1.5 years after the interventions were initiated. Inhaler prescriptions by class were also tallied. There were 10,949 unique patients with a diagnosis of COPD who were eligible for inclusion. 4,895 patients (44.7%) were excluded because they had completed spirometry prior to the cohort start dates. The pre-intervention cohort consisted of 2,622 patients, while the post-intervention cohort had 3,392. Spirometry referral rates pre-intervention were 20.2% compared to 31.6% post-intervention (

Indexed as

Electronic Health RecordsPulmonary Disease, Chronic ObstructiveBronchodilator AgentsHumansRetrospective StudiesSpirometryBronchodilator AgentsChronic obstructive pulmonary diseaseelectronic health recordinformaticspulmonary function testingspirometry

Identifiers

PMID35392743
PMCPMC9202241
OpenAlexW4226288106

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.