Evidence map›Paper›PMID 39354472›Full record

ArticleBMC health services research2024

Improving TRansitions ANd outcomeS for heart FailurE patients in home health CaRe (I-TRANSFER-HF): a type 1 hybrid effectiveness-implementation trial: study protocol.

Madeline R Sterling, Cisco G Espinosa, Daniel Spertus, Michelle Shum, Margaret V McDonald, Miriam B Ryvicker, Yolanda Barrón, Jonathan N Tobin, Lisa M Kern, Monika M Safford and 9 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06118983 (Improving TRansitions ANd OutcomeS for Heart FailurE Patients in Home Health CaRe), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT06118983 narecruitingnot on this mapstarted 2026, after this paper: background citation

Improving TRansitions ANd OutcomeS for Heart FailurE Patients in Home Health CaRe (I-TRANSFER-HF): A Type 1 Hybrid Effectiveness- Implementation Trial

TypeinterventionalSponsorWeill Medical College of Cornell UniversityRan2026 to 2028Enrolled1,094ConditionsHeart FailureArmsI-TRANSFER-HF
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

19 authors.

Madeline R SterlingDepartment of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-357, New York, 10065, NY, USA. mrs9012@med.cornell.edu.
Cisco G EspinosaDepartment of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-357, New York, 10065, NY, USA.
Daniel SpertusDepartment of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-357, New York, 10065, NY, USA.
Michelle ShumDepartment of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-357, New York, 10065, NY, USA.
Margaret V McDonaldCenter for Home Care Policy & Research, VNS Health, New York, NY, USA.
Miriam B RyvickerCenter for Home Care Policy & Research, VNS Health, New York, NY, USA.
Yolanda BarrónCenter for Home Care Policy & Research, VNS Health, New York, NY, USA.
Jonathan N TobinClinical Directors Network, (CDN), New York, NY, USA.
Lisa M KernDepartment of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-357, New York, 10065, NY, USA.
Monika M SaffordDepartment of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-357, New York, 10065, NY, USA.
Samprit BanerjeeDepartment of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-357, New York, 10065, NY, USA.
Parag GoyalDepartment of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-357, New York, 10065, NY, USA.
Joanna Bryan RingelDepartment of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-357, New York, 10065, NY, USA.
Mangala RajanDepartment of Medicine, Weill Cornell Medicine, 420 East 70th Street, LH-357, New York, 10065, NY, USA.
Alicia I ArbajeJohns Hopkins University School of Medicine, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Christine D JonesUniversity of Colorado Denver - Anschutz Medical Campus, and Rocky Mountain Regional VA Medical Center, Aurora, CO, USA.
John A DodsonNYU Grossman School of Medicine, New York, NY, USA.
Crystal CenéUC San Diego School of Medicine, San Diego, CA, USA.
Kathryn H BowlesCenter for Home Care Policy & Research, VNS Health, New York, NY, USA.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
I-TRANSFER-HF: Improving TRansitions ANd OutcomeS for Heart FailurE Patients in Home Health CaRe: A Type 1 Hybrid Effectiveness Implementation TrialR01HL169312 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Madeline R Sterling · 2023 to 2026
$3.1M
NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NHLBI NIH HHS R01 HL169312NHLBI NIH HHS R01HL169312
6 · The paper itself

Abstract

backgroundSome of the most promising strategies to reduce hospital readmissions in heart failure (HF) is through the timely receipt of home health care (HHC), delivered by Medicare-certified home health agencies (HHAs), and outpatient medical follow-up after hospital discharge. Yet national data show that only 12% of Medicare beneficiaries receive these evidence-based practices, representing an implementation gap. To advance the science and improve outcomes in HF, we will test the effectiveness and implementation of an intervention called Improving TRansitions ANd OutcomeS for Heart FailurE Patients in Home Health CaRe (I-TRANSFER-HF), comprised of early and intensive HHC nurse visits combined with an early outpatient medical visit post-discharge, among HF patients receiving HHC.

methodsThis study will use a Hybrid Type 1, stepped wedge randomized trial design, to test the effectiveness and implementation of I-TRANSFER-HF in partnership with four geographically diverse dyads of hospitals and HHAs ("hospital-HHA" dyads) across the US. Aim 1 will test the effectiveness of I-TRANSFER-HF to reduce 30-day readmissions (primary outcome) and ED visits (secondary outcome), and increase days at home (secondary outcome) among HF patients who receive timely follow-up compared to usual care. Hospital-HHA dyads will be randomized to cross over from a baseline period of no intervention to the intervention in a randomized sequential order. Medicare claims data from each dyad and from comparison dyads selected within the national dataset will be used to ascertain outcomes. Hypotheses will be tested with generalized mixed models. Aim 2 will assess the determinants of I-TRANSFER-HF's implementation using a mixed-methods approach and is guided by the Consolidated Framework for Implementation Research 2.0 (CFIR 2.0). Qualitative interviews will be conducted with key stakeholders across the hospital-HHA dyads to assess acceptability, barriers, and facilitators of implementation; feasibility and process measures will be assessed with Medicare claims data. DISCUSSION: As the first pragmatic trial of promoting timely HHC and outpatient follow-up in HF, this study has the potential to dramatically improve care and outcomes for HF patients and produce novel insights for the implementation of HHC nationally.

trial registrationThis trial has been registered on ClinicalTrials.Gov (#NCT06118983). Registered on 10/31/2023, https://clinicaltrials.gov/study/NCT06118983?id=NCT06118983&rank=1 .

Indexed as

Heart FailureHome Care ServicesPatient ReadmissionFemaleHumansMedicareMulticenter Studies as TopicPatient DischargePatient TransferPragmatic Clinical Trials as TopicQuality ImprovementRandomized Controlled Trials as TopicUnited StatesHeart FailureImplementation ScienceTransitional care

Identifiers

PMID39354472
PMCPMC11443790

What OpenQuestion holds

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Registered trials

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.