Evidence map›Paper›PMID 26472739›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2015

Predictors and outcomes of unplanned readmission to a different hospital.

Hongsoo Kim, William W Hung, Myunghee Cho Paik, Joseph S Ross, Zhonglin Zhao, Gi-Soo Kim, Kenneth Boockvar

Abstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
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  7. Article
  8. Article
  9. Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN).International journal of environmental research and public health · 2021
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  14. Prevalence, Reasons, and Predisposing Factors Associated with 30-day Hospital Readmissions in Poland.International journal of environmental research and public health · 2019
    Article
  15. Article
  16. Reducing excess hospital readmissions: Does destination matter?International journal of health economics and management · 2018
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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

7 authors.

Hongsoo KimGraduate School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea.
William W HungIcahn School of Medicine at Mount Sinai, New York, NY, USA James J Peters VA Medical Center, Geriatrics Research, Education and Clinical Center, Bronx, NY, USA.
Myunghee Cho PaikDepartment of Statistics, College of Natural Sciences, Seoul National University, Seoul, South Korea.
Joseph S RossGeneral Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Zhonglin ZhaoIndependent Statistical Consultant, Washington, DC, USA.
Gi-Soo KimDepartment of Statistics, College of Natural Sciences, Seoul National University, Seoul, South Korea.
Kenneth BoockvarIcahn School of Medicine at Mount Sinai, New York, NY, USA James J Peters VA Medical Center, Geriatrics Research, Education and Clinical Center, Bronx, NY, USA Jewish Home Lifecare, Research Institute on Aging, New York, NY, USA.

Funding

Impact of Publicity Reporting Hospital Outcome Measures for Older AdultsK08AG032886 · NIA · YALE UNIVERSITY · PI ROSS, JOSEPH SOLOMON · 2008 to 2012
$738k
NIA NIH HHS K08AG032886
6 · The paper itself

Abstract

objectivesTo examine patient, hospital and market factors and outcomes associated with readmission to a different hospital compared with the same hospital.

designA population-based, secondary analysis using multilevel causal modeling.

settingAcute care hospitals in California in the USA.

participantsIn total, 509 775 patients aged 50 or older who were discharged alive from acute care hospitals (index hospitalizations), and 59 566 who had a rehospitalization within 30 days following their index discharge.

interventionNo intervention. MAIN OUTCOME MEASURE(S): Thirty-day unplanned readmissions to a different hospital compared with the same hospital and also the costs and health outcomes of the readmissions.

resultsTwenty-one percent of patients with a rehospitalization had a different-hospital readmission. Compared with the same-hospital readmission group, the different-hospital readmission group was more likely to be younger, male and have a lower income. The index hospitals of the different-hospital readmission group were more likely to be smaller, for-profit hospitals, which were also more likely to be located in counties with higher competition. The different-hospital readmission group had higher odds for in-hospital death (8.1 vs. 6.7%; P < 0.0001) and greater readmission hospital costs ($15 671.8 vs. $14 286.4; P < 0.001) than the same-hospital readmission group.

conclusionsPatient, hospital and market characteristics predicted different-hospital readmissions compared with same-hospital readmissions. Mortality and cost outcomes were worse among patients with different-hospital readmissions. Strategies for better care coordination targeting people at risk for different-hospital readmissions are necessary.

Indexed as

HospitalsAgedAged, 80 and overCaliforniaData Interpretation, StatisticalDatasets as TopicFemaleForecastingHumansMaleMiddle AgedOutcome Assessment, Health CarePatient DischargePatient Readmissionhealth policyhospital carepatient outcomesreadmissions

Identifiers

PMID26472739
PMCPMC4665363

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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.