Evidence map›Paper›PMID 39381871›Full record

ArticleCirculation. Heart failure2024

Home-Time, Mortality, and Readmissions Among Patients Hospitalized With Heart Failure: A Baseline Prior to IMPLEMENT-HF.

Amber B Tang, Nicole Solomon, Karen Chiswell, Stephen J Greene, Clyde W Yancy, Mariell Jessup, Michelle Kittleson, Javed Butler, Nancy K Sweitzer, Lee R Goldberg and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Circulation. Heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Amber B TangDepartment of Medicine, University of California Los Angeles (A.B.T.).ORCID 0000-0001-7304-1338
Nicole SolomonDuke Clinical Research Institute, Durham, NC (N.S., K.C., S.J.G.).ORCID 0000-0002-5643-9958
Karen ChiswellDuke Clinical Research Institute, Durham, NC (N.S., K.C., S.J.G.).ORCID 0000-0002-0279-9093
Stephen J GreeneDuke Clinical Research Institute, Durham, NC (N.S., K.C., S.J.G.).ORCID 0000-0001-6912-7374
Clyde W YancyDivision of Cardiology, Department of Medicine, Northwestern University, Chicago, IL (C.W.Y.).ORCID 0000-0001-7271-4166
Mariell JessupAmerican Heart Association, Dallas, TX (M.J., L.M.S., C.R., M.C., S.C.).ORCID 0000-0002-3010-0112
Michelle KittlesonDepartment of Medicine, Cedars Sinai, Division of Cardiology, Los Angeles, CA (M.K.).ORCID 0000-0003-4492-2691
Javed ButlerUniversity of Mississippi Medical School, Jackson (J.B.).ORCID 0000-0001-7683-4720
Nancy K SweitzerWashington University School of Medicine in St. Louis, MO (N.K.S.).ORCID 0000-0002-8117-6678
Lee R GoldbergUniversity of Pennsylvania, Philadelphia (L.R.G.).ORCID 0000-0002-7906-9638
Jo-Ann LindenfeldVanderbilt University Medical Center, Nashville, TN (J.-A.L.).ORCID 0000-0001-9207-3634
Eldrin F LewisStanford University, Palo Alto, CA (E.F.L.).
Pamela N PetersonUniversity of Colorado School of Medicine, Denver (P.P.).ORCID 0000-0001-6864-2016
Sara PaulCatawba Valley Medical Center, Hickory, NC (S.P.).ORCID 0000-0002-9191-9770
Lynn Mallas SerdynskiAmerican Heart Association, Dallas, TX (M.J., L.M.S., C.R., M.C., S.C.).ORCID 0009-0000-1207-0792
Christine RutanAmerican Heart Association, Dallas, TX (M.J., L.M.S., C.R., M.C., S.C.).ORCID 0000-0002-5071-1607
Michelle CongdonAmerican Heart Association, Dallas, TX (M.J., L.M.S., C.R., M.C., S.C.).
Sruthi CherkurAmerican Heart Association, Dallas, TX (M.J., L.M.S., C.R., M.C., S.C.).
Gregg C FonarowDivision of Cardiology, Department of Medicine, University of California Los Angeles (G.C.F.).

Funding

ACTION - A CHF Trial Investigating Outcomes of ExerciseU01HL068980 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FONAROW, GREGG C · 2002 to 2006
$709k
NHLBI NIH HHS U01 HL068980
6 · The paper itself

Abstract

backgroundHome-time is an emerging, patient-centered outcome that represents the amount of time a patient spends alive and outside of health care facility settings, comprising of hospitals, skilled nursing facilities, and acute rehabilitation centers. Studies evaluating home-time in the context of heart failure are limited, and the impact of quality improvement interventions on home-time has not been studied.

methodsMedicare beneficiaries aged 65 years or older who were hospitalized for heart failure in the Get With the Guidelines-Heart Failure registry between 2019 and 2021 were included. Postdischarge home-time, mortality, and readmission rates at 30 days and 1 year were calculated with the goal of establishing baseline metrics before the initiation of IMPLEMENT-HF, a multicenter quality improvement program aimed at improving heart failure management.

resultsOverall, 66 019 patients were included across 437 sites. Median 30-day and 1-year home-time were 30 (18-30) and 333 (139-362) days, respectively. Only 22.1% of patients experienced 100% home-time in the year after discharge. Older patients spent significantly less time at home, with a median 1-year home-time of 302 (86-359) compared with 345 (211-365) days in patients over 85 and those between 65 and 74 years old, respectively (

conclusionsIn this contemporary multicenter cohort, patients hospitalized with heart failure spent a median of 91.2% of their time in the year after discharge alive and at home, largely driven by high mortality rates. These findings serve as a preimplementation baseline for IMPLEMENT-HF, which will evaluate the impact of targeted heart failure initiatives on home-time and other clinical outcomes.

Indexed as

Heart FailurePatient ReadmissionAgedAged, 80 and overFemaleHome Care ServicesHospitalizationHumansMaleMedicarePatient DischargeRegistriesTime FactorsUnited Statesheart failurehospitalsmedicarepatient dischargeregistries

Identifiers

PMID39381871
PMCPMC11479851

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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.