Evidence map›Paper›PMID 37216362›Full record

Observational studyPloS one2023

Impact of early telemedicine follow-up on 30-Day hospital readmissions.

Anne Grauer, Talea Cornelius, Marwah Abdalla, Nathalie Moise, Ian M Kronish, Siqin Ye

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Anne GrauerDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, United States of America.ORCID 0000-0002-7386-0242
Talea CorneliusCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, New York, United States of America.
Marwah AbdallaCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, New York, United States of America.
Nathalie MoiseDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, United States of America.
Ian M KronishDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, United States of America.
Siqin YeCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, New York, United States of America.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Institutional Career Development CoreKL2TR001874 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GENKINGER, JEANINE M., SHIMBO, DAICHI · 2016 to 2025
$13.6M
Automated clinic blood pressure assessment and detection of white coat and masked hypertension study in African AmericansR01HL146636 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABDALLA, MARWAH · 2020 to 2025
$3.8M
Implementing Remote Patient Monitoring to Improve Hypertension Control in a Primary Care NetworkR01HL152699 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KRONISH, IAN MATTHEW · 2021 to 2025
$3.5M
Patient Safety and Health Services Research TrainingT32HS026121 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ADELMAN, JASON STUART, BARR, R GRAHAM · 2018 to 2024
$2.4M
Increasing the Uptake of the USPSTF Hypertension Screening Guidelines in Primary Care.R01HS024262 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KRONISH, IAN MATTHEW · 2015 to 2019
$1.2M
Nocturnal Hypertension and SleepK23HL141682 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABDALLA, MARWAH · 2019 to 2023
$953k
AHRQ HHS R01 HS024262AHRQ HHS T32 HS026121NCATS NIH HHS KL2 TR001874NCATS NIH HHS UL1 TR001873NHLBI NIH HHS K23 HL141682NHLBI NIH HHS R01 HL146636NHLBI NIH HHS R01 HL152699
6 · The paper itself

Abstract

introductionTelemedicine is increasing in popularity but the impact of this shift on patient outcomes has not been well described. Prior data has shown that early post-discharge office visits can reduce readmissions. However, it is unknown if routine use of telemedicine visits for this purpose is similarly beneficial. MATERIALS AND

methodsWe conducted a retrospective observational study using electronic health records data to assess if the rate of 30-day hospital readmissions differed between modality of visit for primary care or cardiology post-discharge follow-up visits.

resultsCompared to discharges with completed in-person follow-up visits, the adjusted odds of readmission for those with telemedicine follow-up visits was not significantly different (odds ratio [OR] 0.96, 95% confidence interval [CI] 0.61 to 1.51, P = 0.86).

conclusionsOur study showed that 30-day readmission rate did not differ significantly according to the modality of visit. These results provide reassurance that telemedicine visits are a safe and viable alternative for primary care or cardiology post-hospitalization follow-up.

Indexed as

Patient ReadmissionTelemedicineAftercareFollow-Up StudiesHumansPatient DischargeRetrospective Studies

Identifiers

PMID37216362
PMCPMC10202267

What OpenQuestion holds

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LicenceCC BY
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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.