Evidence map›Paper›PMID 26954698›Full record

ArticleJAMA internal medicine2016

International Validity of the HOSPITAL Score to Predict 30-Day Potentially Avoidable Hospital Readmissions.

Jacques D Donzé, Mark V Williams, Edmondo J Robinson, Eyal Zimlichman, Drahomir Aujesky, Eduard E Vasilevskis, Sunil Kripalani, Joshua P Metlay, Tamara Wallington, Grant S Fletcher and 2 more

Registry-linked trialOpen access · bronzeAbstract readValidation Study
In one paragraph

Article in JAMA internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05765903 (Readmission Risk Score), which is not on this map. Cited by 108 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 4 pooled it
20.6field-weighted citation impact, top 1% of its field
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.

NCT05765903 nawithdrawnnot on this mapstarted 2024, after this paper: background citation

Readmission Risk Score (RecuR Score) Pilot at The University of Maryland Charles Regional Medical Center (UM CRMC)

TypeinterventionalSponsorUniversity of Maryland, BaltimoreRan2024 to 2026Enrolled0ConditionsPatient Readmission, Pulmonary Disease, Chronic Obstructive, Heart Failure, Diabetes Mellitus Poor ControlArmsStandard of Care, Enhanced Care
3 · Its place in the literature

Who cites it

108 citing papers in PubMed, 4 syntheses or guidelines pooled it, 237 citations in OpenAlex.

  1. Pooled it
  2. Can prediction models for hospital readmission be improved by incorporating patient-reported outcome measures? A systematic review and narrative synthesis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  5. Effect of digital tools to promote hospital quality and safety on adverse events after discharge.Journal of the American Medical Informatics Association : JAMIA · 2024
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48 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 10 institutions in 4 countries.

Jacques D DonzéDivision of General Internal Medicine, Bern University Hospital, Bern, Switzerland2Division of General Medicine, Brigham and Women's Hospital, Boston, Massachusetts3Harvard Medical School, Boston, Massachusetts.
Mark V WilliamsCenter for Health Services Research, University of Kentucky, Lexington.
Edmondo J RobinsonValue Institute, Christiana Care Health System, Wilmington, Delaware.
Eyal ZimlichmanSheba Medical Centre, Tel Hashomer, Israel.
Drahomir AujeskyDivision of General Internal Medicine, Bern University Hospital, Bern, Switzerland.
Eduard E VasilevskisSection of Hospital Medicine, Vanderbilt University Medical Center, Nashville, Tennessee8Center for Clinical Quality and Implementation Research, Vanderbilt University Medical Center, Nashville, Tennessee9Veterans Affairs Tennessee Valley - Geriatric Rese.
Sunil KripalaniSection of Hospital Medicine, Vanderbilt University Medical Center, Nashville, Tennessee8Center for Clinical Quality and Implementation Research, Vanderbilt University Medical Center, Nashville, Tennessee.
Joshua P MetlayDivision of General Internal Medicine, Massachusetts General Hospital, Boston.
Tamara WallingtonWilliam Osler Health System, Ontario, Canada.
Grant S FletcherDepartment of Medicine, Harborview Medical Center, University of Washington, Seattle.
Andrew D AuerbachDivision of Hospital Medicine, University of California-San Francisco, San Francisco.
Jeffrey L SchnipperDivision of General Medicine, Brigham and Women's Hospital, Boston, Massachusetts3Harvard Medical School, Boston, Massachusetts.
Harvard University · USVanderbilt University Medical Center · USChristiana Care Health System · USMassachusetts General Hospital · USSan Francisco General Hospital · USSheba Medical Center · ILUniversity Hospital of Bern · CHUniversity of Kentucky · USUniversity of Washington · USWilliam Osler Health System · CA

Funding

Predicting Acute Brain Dysfunction in Older Patients: A Quality Improvement ToolK23AG040157 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VASILEVSKIS, EDUARD E · 2011 to 2015
$609k
NIA NIH HHS K23 AG040157NIA NIH HHS K23AG040157
6 · The paper itself

Abstract

importanceIdentification of patients at a high risk of potentially avoidable readmission allows hospitals to efficiently direct additional care transitions services to the patients most likely to benefit.

objectiveTo externally validate the HOSPITAL score in an international multicenter study to assess its generalizability. DESIGN, SETTING, AND

participantsInternational retrospective cohort study of 117 065 adult patients consecutively discharged alive from the medical department of 9 large hospitals across 4 different countries between January 2011 and December 2011. Patients transferred to another acute care facility were excluded. EXPOSURES: The HOSPITAL score includes the following predictors at discharge: hemoglobin, discharge from an oncology service, sodium level, procedure during the index admission, index type of admission (urgent), number of admissions during the last 12 months, and length of stay. MAIN OUTCOMES AND MEASURES: 30-day potentially avoidable readmission to the index hospital using the SQLape algorithm.

resultsOverall, 117 065 adults consecutively discharged alive from a medical department between January 2011 and December 2011 were studied. Of all medical discharges, 16 992 of 117 065 (14.5%) were followed by a 30-day readmission, and 11 307 (9.7%) were followed by a 30-day potentially avoidable readmission. The discriminatory power of the HOSPITAL score to predict potentially avoidable readmission was good, with a C statistic of 0.72 (95% CI, 0.72-0.72). As in the derivation study, patients were classified into 3 risk categories: low (n = 73 031 [62.4%]), intermediate (n = 27 612 [23.6%]), and high risk (n = 16 422 [14.0%]). The estimated proportions of potentially avoidable readmission for each risk category matched the observed proportion, resulting in an excellent calibration (Pearson χ2 test P = .89). CONCLUSIONS AND RELEVANCE: The HOSPITAL score identified patients at high risk of 30-day potentially avoidable readmission with moderately high discrimination and excellent calibration when applied to a large international multicenter cohort of medical patients. This score has the potential to easily identify patients in need of more intensive transitional care interventions to prevent avoidable hospital readmissions.

Indexed as

AlgorithmsAdultAgedCanadaCohort StudiesEmergenciesFemaleHemoglobinsHumansIsraelLength of StayMaleMiddle AgedOncology Service, HospitalPatient ReadmissionReproducibility of ResultsHemoglobinsSodium

Identifiers

PMID26954698
PMCPMC5070968
OpenAlexW2294615794

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.