Evidence map›Paper›PMID 33958680›Full record

ArticleNPJ digital medicine2021

Impact of an electronic medical record-based appointment order on outpatient cardiology follow-up after hospital discharge.

Kartik S Telukuntla, Chetan P Huded, Mingyuan Shao, Tim Sobol, Mouin Abdallah, Kathleen Kravitz, Michael Hulseman, Benico Barzilai, Randall C Starling, Lars G Svensson and 2 more

Abstract read
In one paragraph

Article in NPJ digital medicine, 2021. 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
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.

  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

12 authors.

Kartik S TelukuntlaHeart, Vascular and Thoracic Institute Center for Healthcare Delivery Innovation, Cleveland Clinic, Cleveland, OH, USA.
Chetan P HudedSaint Luke's Mid America Heart Institute, Kansas City, MO, USA.
Mingyuan ShaoC5Research, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA.
Tim SobolHeart, Vascular and Thoracic Institute Center for Healthcare Delivery Innovation, Cleveland Clinic, Cleveland, OH, USA.
Mouin AbdallahHeart and Vascular Institute, MedStar Washington Hospital Center, Washington, DC, USA.
Kathleen KravitzHeart, Vascular and Thoracic Institute Center for Healthcare Delivery Innovation, Cleveland Clinic, Cleveland, OH, USA.
Michael HulsemanStrata Decision Technology, Chicago, IL, USA.
Benico BarzilaiHeart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
Randall C StarlingHeart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.ORCID http://orcid.org/0000-0002-1254-4860
Lars G SvenssonHeart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
Steven E NissenHeart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
Umesh N KhotHeart, Vascular and Thoracic Institute Center for Healthcare Delivery Innovation, Cleveland Clinic, Cleveland, OH, USA. khotu@ccf.org.ORCID http://orcid.org/0000-0001-6121-1280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outpatient follow-up after hospital discharge improves continuity of care and reduces readmissions, but rates of follow-up remain low. It is not known whether electronic medical record (EMR)-based tools improve follow-up. The aim of this study was to determine if an EMR-based order to secure cardiology follow-up appointments at hospital discharge would improve follow-up rates and hospital readmission rates. A pre-post interventional study was conducted and evaluated 39,209 cardiovascular medicine discharges within an academic center between 2012 and 2017. Follow-up rates and readmission rates were compared during 2 years prior to EMR-order implementation (pre-order era 2012-2013, n = 12,852) and 4 years after implementation (EMR-order era 2014-2017, n = 26,357). The primary endpoint was 90-day cardiovascular follow-up rates within our health system. In the overall cohort, the mean age of patients was 69.3 years [SD 14.7] and 60.7% (n = 23,827) were male. In the pre-order era, 90-day follow-up was 56.7 ± 0.4% (7286 of 12,852) and increased to 67.9 ± 0.3% (17,888 of 26,357, P < 0.001) in the EMR-order era. The use of the EMR follow-up order was independently associated with increased outpatient follow-up within 90 days after adjusting for patient demographics and payor status (OR 3.28, 95% CI 3.10-3.47, P < 0.001). The 30-day readmission rate in the pre-order era was 12.8% (1642 of 12,852) compared with 13.7% (3601 of 26,357, P = 0.016) in the EMR-order era. An EMR-based appointment order for follow-up appointment scheduling was associated with increased cardiovascular medicine follow-up, but was not associated with an observed reduction in 30-day readmission rates.

Identifiers

PMID33958680
PMCPMC8102598

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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.