Evidence map›Paper›PMID 33904043›Full record

ArticleJournal of general internal medicine2021

Risk-Standardized Home Time as a Novel Hospital Performance Metric for Pneumonia Hospitalization Among Medicare Beneficiaries: a Retrospective Cohort Study.

Rajeshwari Nair, Yubo Gao, Mary S Vaughan-Sarrazin, Eli Perencevich, Saket Girotra, Ambarish Pandey

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2021. 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
1.9field-weighted citation impact, top 14% 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.

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, 9 citations in OpenAlex.

  1. Article
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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

6 authors at 3 institutions in 1 country.

Rajeshwari NairDivision of General Internal Medicine, Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Yubo GaoDivision of General Internal Medicine, Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Mary S Vaughan-SarrazinDivision of General Internal Medicine, Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Eli PerencevichDivision of General Internal Medicine, Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Saket GirotraDivision of General Internal Medicine, Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Ambarish PandeyDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA. ambarish.pandey@utsouthwestern.edu.
Iowa City VA Health Care System · USUniversity of Iowa · USThe University of Texas Southwestern Medical Center · US

Funding

Dosing of Direct Oral Anticoagulants for stroke prevention in Atrial Fibrillation: Patterns, Consequences, and GuidanceR01AG055663 · NIA · UNIVERSITY OF IOWA · PI VAUGHAN SARRAZIN, MARY S · 2017 to 2019
$844k
Evaluation of Racial Differences in Cardiorespiratory Fitness Decline with Aging & Underlying Biological MechanismsR03AG067960 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI PANDEY, AMBARISH · 2020 to 2021
$327k
NIA NIH HHS R01 AG055663NIA NIH HHS R01-AG055663NIA NIH HHS R03 AG067960
6 · The paper itself

Abstract

backgroundThe Centers for Medicare & Medicaid Services (CMS) use hospital readmissions as a performance metric to incentivize hospital care for acute conditions including pneumonia. However, there are limitations to using readmission alone as a hospital performance metric.

objectiveTo characterize 30-day risk-standardized home time (RSHT), a novel patient-centered post-discharge performance metric for acute pneumonia hospitalizations in Medicare patients, and compare hospital rankings based on this metric with mortality and readmissions. STUDY

designRetrospective, cohort study.

participantsA cohort of Medicare fee-for-service beneficiaries admitted between January 01, 2015 and November 30, 2017.

interventionsNone. MAIN MEASURES: Risk-standardized hospital-level home time within 30 days of discharge was evaluated as a novel performance metric. Multilevel regression models were used to calculate hospital-level estimates and rank hospitals based on RSHT, readmission rate (RSRR), and mortality rate (RSMR). KEY

resultsA total of 1.7 million pneumonia admissions admitted to one of the 3116 hospitals were eligible for inclusion. The median 30-day RSHT was 20.5 days (interquartile range: 18.9-21.9 days; range: 5-29 days). Hospital-level characteristics such as case volume, bed size, for-profit ownership, rural location of the hospital, teaching status, and participation in the bundled payment program were significantly associated with home time. We found a modest, inverse correlation of RSHT with RSRR (rho: -0.233, p< 0.0001) and RSMR (rho: -0.223, p< 0.0001) for pneumonia. About 1/3rd of hospitals were reclassified as high performers based on their RSHT metric compared with the rank on their RSRR and RSMR metrics.

conclusionHome time is a novel, patient-centered, hospital-level metric that can be easily calculated using claims data and accounts for mortality, readmission to an acute care facility, and admission to a skilled nursing facility or long-term care facility after discharge. Utilization of this patient-centered metric could have policy implications in assessing hospital performance on delivery of healthcare to pneumonia patients.

Indexed as

AftercarePneumoniaAgedCohort StudiesHospitalizationHospitalsHumansMedicarePatient DischargePatient ReadmissionRetrospective StudiesUnited StatesCMShome timemetricspneumonia

Identifiers

PMID33904043
PMCPMC8481448
OpenAlexW3159297162

What OpenQuestion holds

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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.