Evidence map›Paper›PMID 39752456›Full record

ArticlePloS one2025

Utilization of transitional care management services and 30-day readmission.

Eun Ji Kim, Kevin Coppa, Sara Abrahams, Amresh D Hanchate, Sumit Mohan, Martin Lesser, Jamie S Hirsch

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Eun Ji KimDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States of America.ORCID 0000-0002-4087-5261
Kevin CoppaDepartment of Information Services, Data Science and Predictive Analytics, Northwell Health, New Hyde Park, NY, United States of America.
Sara AbrahamsDepartment of Medicine, University of California, San Francisco, San Francisco, CA, United States of America.
Amresh D HanchateDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, United States of America.
Sumit MohanDepartment of Medicine, Vagelos College of Physicians & Surgeons and Department of Epidemiology, Division of Nephrology, Mailman School of Public Health, Columbia University, New York, NY, United States of America.ORCID 0000-0002-5305-9685
Martin LesserDepartment of Biostatistics, Feinstein Institutes for Medical Research, Manhasset, NY, United States of America.
Jamie S HirschDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States of America.ORCID 0000-0001-9571-1275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transitional care management (TCM) visits have been shown to reduce 30-day readmissions, but it is unclear whether the decrease arises from the TCM visit itself or from clinic-level changes to meet the requirements of the TCM visits. We conducted a cross-sectional analysis using data from Northwell Health to examine the association between the type of post-discharge follow-up visits (TCM visits versus non-TCM visits based on billing) and 30-day readmission. Furthermore, we assessed whether being seen by a provider who frequently utilizes TCM visits or the TCM visit itself was associated with 30-day readmission. We included adult patients hospitalized to Medicine service and subsequent follow-up visits within two weeks of discharge between February 24, 2018, and February 24, 2020. We examined 1) post-discharge follow-up visit type (TCM visit versus non-TCM visit) and 2) provider characteristics (frequent TCM visit utilization or not). The primary outcome was unplanned hospital readmission within 30 days following hospital discharge. After propensity matching, TCM follow-up visits were associated with decreased 30-day readmissions (hazard ratio = 0.74 [0.63-0.88]) compared to non-TCM visits. Among patients with non-TCM follow-up visits, those seen by a provider who frequently used TCM visits had decreased odds (OR = 0.84 [0.71-0.99]) of 30-day readmission compared to those seen by providers who did not use TCM visits regularly. Among patients who followed up with providers who frequently use TCM visits, TCM visits were associated with decreased 30-day readmission compared to patients with non-TCM visits (OR = 0.78 [0.62-0.98]). The study has limitations, including the health system database not capturing all out-of-network follow-up visits. The reduction in 30-day readmission associated with TCM visits likely arises from both the visit itself and being seen by a provider who frequently uses TCM visits.

Indexed as

Patient DischargePatient ReadmissionTransitional CareAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle Aged

Identifiers

PMID39752456
PMCPMC11698425

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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.