Evidence map›Paper›PMID 40987450›Full record

ArticleJMIR medical informatics2025

Virtual Transition of Care Clinics and Associated Readmission Rates: 3-Year Retrospective Cohort Study.

Sarah F Horman, Milla Kviatkovsky, Edward Castillo, Patricia Maysent, Chad VanDenBerg, John Bell, Christopher A Longhurst

Abstract read
In one paragraph

Article in JMIR medical informatics, 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. Review
  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.

Sarah F HormanDepartment of Medicine, University of California, San Diego, San Diego, CA, United States.ORCID 0000-0002-9796-3561
Milla KviatkovskyDepartment of Medicine, University of California, San Diego, San Diego, CA, United States.ORCID 0000-0003-4572-3328
Edward CastilloDepartment of Emergency Medicine, University of California, San Diego, San Diego, CA, United States.ORCID 0000-0002-7464-295X
Patricia MaysentJacobs Center for Health Innovation, University of California San Diego Health, San Diego, CA, United States.ORCID 0009-0002-3120-3196
Chad VanDenBergJacobs Center for Health Innovation, University of California San Diego Health, San Diego, CA, United States.ORCID 0009-0009-2853-8754
John BellDepartment of Medicine, University of California, San Diego, San Diego, CA, United States.ORCID 0000-0003-3116-1774
Christopher A LonghurstJacobs Center for Health Innovation, University of California San Diego Health, San Diego, CA, United States.ORCID 0000-0003-4908-6856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital readmissions pose a significant burden on patients, health care providers, and systems, with an estimated annual cost of $17 billion. Timely follow-up within 7 days postdischarge is known to reduce readmissions but is often limited by access constraints. While transitions of care clinics have demonstrated benefits in reducing unplanned readmissions, physical space requirements can be logistically and financially challenging.

objectiveThis study aimed to evaluate the effectiveness of a virtual transitions of care (VToC) clinic in reducing 30-day hospital readmissions and improving postdischarge care coordination.

methodsUniversity of California, San Diego Health implemented a hospitalist-led VToC clinic designed to support clinical management, medication reconciliation, primary care provider repatriation, and specialty care navigation. The study included 2314 patients seen in the VToC clinic between September 2021 and September 2024. Outcomes were compared to a benchmark group using regression analysis to assess the impact on 30-day readmission rates.

resultsThe 30-day readmission rate for VToC patients was 14.9% (344/2314), significantly lower than the 20.1% (4659/23,129) observed in the benchmark group (P<.001). Regression analysis indicated that patients not participating in the VToC clinic had a higher likelihood of readmission (odds ratio=1.37; 95% CI=1.21-1.54; P<.001). The most substantial reduction in readmissions was observed among patients with moderate readmission risk (LACE+ score of 50-75).

conclusionsVToC clinics are a feasible and effective strategy for enhancing postdischarge care, reducing hospital readmissions, and improving care coordination. This model supports the quadruple aim by promoting better health outcomes, improved patient experience, cost-efficiency, and care equity.

Indexed as

Patient ReadmissionAdultAgedCaliforniaContinuity of Patient CareFemaleHumansMaleMiddle AgedPatient DischargeRetrospective Studieshealth care utilizationhospital medicinequality and patient safetytelehealthtelemedicinetransitions of care

Identifiers

PMID40987450
PMCPMC12504893

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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.