Evidence map›Paper›PMID 35229656›Full record

ArticleJournal of the American Heart Association2022

Effectiveness of Telemedicine Visits in Reducing 30-Day Readmissions Among Patients With Heart Failure During the COVID-19 Pandemic.

Hanzhang Xu, Bradi B Granger, Connor D Drake, Eric D Peterson, Matthew E Dupre

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 pooled it
9.7field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 4 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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  14. Associations Between Telemedicine Use Barriers, Organizational Factors, and Physician Perceptions of Care Quality.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
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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

5 authors at 2 institutions in 1 country.

Hanzhang XuDepartment of Family Medicine and Community Health Duke University Durham NC.ORCID 0000-0001-9617-247X
Bradi B GrangerDuke University School of Nursing Duke University Durham NC.ORCID 0000-0003-0828-6851
Connor D DrakeDepartment of Population Health Sciences Duke University Durham NC.ORCID 0000-0002-5393-6246
Eric D PetersonOffice of the Provost University of Texas Southwestern Medical Dallas TX.ORCID 0000-0002-5415-4721
Matthew E DupreCenter for the Study of Aging and Human Development Duke University Durham NC.ORCID 0000-0002-0976-4715
Duke University · USThe University of Texas Southwestern Medical Center · US

Funding

Research Project 3U54MD012530 · NIMHD · DUKE UNIVERSITY · PI JOHNSON, KIMBERLY S. · 2017 to 2022
$8.8M
Dissemination and Implementation Science in Cardiovascular Outcomes (DISCO)K12HL138030 · NHLBI · DUKE UNIVERSITY · PI BOSWORTH, HAYDEN B · 2017 to 2021
$3.9M
A Patient-Centered Approach for Addressing Access to Care to Improve Outcomes in Heart Failure PatientsR21AG061142 · NIA · DUKE UNIVERSITY · PI DUPRE, MATTHEW E. · 2019 to 2020
$443k
An Innovative Approach for Understanding Trajectories of Medication Adherence in Patients with Heart FailureR03AG064303 · NIA · DUKE UNIVERSITY · PI XU, HANZHANG · 2020 to 2021
$161k
NHLBI NIH HHS K12 HL138030NIA NIH HHS R03 AG064303NIA NIH HHS R21 AG061142NIMHD NIH HHS U54 MD012530
6 · The paper itself

Abstract

Background The COVID-19 pandemic resulted in a rapid implementation of telemedicine into clinical practice. This study examined whether early outpatient follow-up via telemedicine is as effective as in-person visits for reducing 30-day readmissions in patients with heart failure. Methods and Results Using electronic health records from a large health system, we included patients with heart failure living in North Carolina (N=6918) who were hospitalized between March 16, 2020 and March 14, 2021. All-cause readmission within 30 days after discharge was examined using weighted logistic regression models. Overall, 7.6% (N=526) of patients received early telemedicine follow-up, 38.8% (N=2681) received early in-person follow-up, and 53.6% (N=3711) did not receive follow-up within 14 days of discharge. Compared with patients without early follow-up, those who received early follow-up were younger, were more likely to be Medicare beneficiaries, had more comorbidities, and were less likely to live in an disadvantaged neighborhood. Relative to in-person visits, those with telemedicine follow-up were of similar age, sex, and race but with generally fewer comorbidities. Overall, the 30-day readmission rate (19.0%) varied among patients who received telemedicine visits (15.0%), in-person visits (14.0%), or no follow-up (23.1%). After covariate adjustment, patients who received either telemedicine (odds ratio [OR], 0.55; 95% CI, 0.44-0.72) or in-person (OR, 0.52; 95% CI, 0.45-0.60) visits were similarly less likely to be readmitted within 30 days compared with patients with no follow-up. Conclusions During the COVID-19 pandemic, the use of telemedicine visits for early follow-up increased rapidly. Patients with heart failure who received outpatient follow-up either via telemedicine or in-person had better outcomes than those who received no follow-up.

Indexed as

COVID-19Heart FailureTelemedicineAgedHumansMedicarePandemicsPatient ReadmissionUnited Stateselectronic health recordsheart failurehospitalizationtelemedicine

Identifiers

PMID35229656
PMCPMC9075458
OpenAlexW4214641446

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.