Evidence map›Paper›PMID 23340639›Full record

ArticleJAMA2013

Pediatric readmission prevalence and variability across hospitals.

Jay G Berry, Sara L Toomey, Alan M Zaslavsky, Ashish K Jha, Mari M Nakamura, David J Klein, Jeremy Y Feng, Shanna Shulman, Vincent W Chiang, Vincent K Chiang and 3 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in JAMA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 146 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 1 pooled it
39.0field-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.

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

146 citing papers in PubMed, 1 synthesis or guideline pooled it, 410 citations in OpenAlex.

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86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Jay G BerryDivision of General Pediatrics, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, USA. jay.berry@childrens.harvard.edu
Sara L Toomey
Alan M Zaslavsky
Ashish K Jha
Mari M Nakamura
David J Klein
Jeremy Y Feng
Shanna Shulman
Vincent W Chiang
Vincent K Chiang
William Kaplan
Matt Hall
Mark A Schuster
Boston Children's Hospital · US

Funding

Children's Hospital Boston Center of Excellence for Quality MeasurementU18HS020513 · AHRQ · BOSTON CHILDREN'S HOSPITAL · PI SCHUSTER, MARK A. · 2011 to 2014
$7.9M
Improving Healthcare Integration for Children with TracheostomyK23HD058092 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI BERRY, JAY GRIFFIN · 2009 to 2013
$661k
AHRQ HHS U18 HS020513NICHD NIH HHS K23 HD058092
6 · The paper itself

Abstract

importanceReadmission rates are used as an indicator of the quality of care that patients receive during a hospital admission and after discharge.

objectiveTo determine the prevalence of pediatric readmissions and the magnitude of variation in pediatric readmission rates across hospitals. DESIGN, SETTING, AND PATIENTS: We analyzed 568,845 admissions at 72 children's hospitals between July 1, 2009, and June 30, 2010, in the National Association of Children's Hospitals and Related Institutions Case Mix Comparative data set. We estimated hierarchical regression models for 30-day readmission rates by hospital, accounting for age and Chronic Condition Indicators. Hospitals with adjusted readmission rates that were 1 SD above and below the mean were defined as having "high" and "low" rates, respectively.

main outcome measuresThirty-day unplanned readmissions following admission for any diagnosis and for the 10 admission diagnoses with the highest readmission prevalence. Planned readmissions were identified with procedure codes from the International Classification of Diseases, Ninth Revision, Clinical Modification.

resultsThe 30-day unadjusted readmission rate for all hospitalized children was 6.5% (n = 36,734). Adjusted rates were 28.6% greater in hospitals with high vs low readmission rates (7.2% [95% CI, 7.1%-7.2%] vs 5.6% [95% CI, 5.6%-5.6%]). For the 10 admission diagnoses with the highest readmission prevalence, the adjusted rates were 17.0% to 66.0% greater in hospitals with high vs low readmission rates. For example, sickle cell rates were 20.1% (95% CI, 20.0%-20.3%) vs 12.7% (95% CI, 12.6%-12.8%) in high vs low hospitals, respectively. CONCLUSIONS AND RELEVANCE: Among patients admitted to acute care pediatric hospitals, the rate of unplanned readmissions at 30 days was 6.5%. There was significant variability in readmission rates across conditions and hospitals. These data may be useful for hospitals' quality improvement efforts.

Indexed as

Quality Indicators, Health CareAdolescentChildChild, PreschoolChronic DiseaseDiagnosis-Related GroupsFemaleHospitals, PediatricHumansInfantInternational Classification of DiseasesMalePatient DischargePatient ReadmissionQuality ImprovementRetrospective Studies

Identifiers

PMID23340639
PMCPMC3640861
OpenAlexW2045290823

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.