Evidence map›Paper›PMID 23979094›Full record

ArticlePediatrics2013

Measuring hospital quality using pediatric readmission and revisit rates.

Naomi S Bardach, Eric Vittinghoff, Renée Asteria-Peñaloza, Jeffrey D Edwards, Jinoos Yazdany, Henry C Lee, W John Boscardin, Michael D Cabana, R Adams Dudley

Abstract read
In one paragraph

Article in Pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. COVID-19 and Unplanned Paediatric Hospital Readmissions in Australia: A Retrospective Cohort Study.International journal of environmental research and public health · 2026
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  19. Performance of Pediatric Readmission Measures.Journal of hospital medicine · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Naomi S BardachDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, USA. bardachn@peds.ucsf.edu
Eric Vittinghoff
Renée Asteria-Peñaloza
Jeffrey D Edwards
Jinoos Yazdany
Henry C Lee
W John Boscardin
Michael D Cabana
R Adams Dudley

Funding

CTSA: K12 COMPONENTKL2RR024130 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$19.3M
NICHD Institutional Training for PediatriciansT32HD044331 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIERO, DONNA M. · 2003 to 2012
$2.5M
Understanding and Preventing Pediatric Asthma ReadmissionsK23HD065836 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BARDACH, NAOMI SHULA · 2011 to 2015
$697k
Evaluating Health Care Quality in Systemic Lupus ErythematosusK23AR060259 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAZDANY, JINOOS · 2011 to 2015
$638k
NCRR NIH HHS KL2 RR024130NCRR NIH HHS KL2 RR024130-05NIAMS NIH HHS K23 AR060259NICHD NIH HHS K23 HD065836NICHD NIH HHS T32 HD044331
6 · The paper itself

Abstract

objectiveTo assess variation among hospitals on pediatric readmission and revisit rates and to determine the number of high- and low-performing hospitals.

methodsIn a retrospective analysis using the State Inpatient and Emergency Department Databases from the Healthcare Cost and Utilization Project with revisit linkages available, we identified pediatric (ages 1-20 years) visits with 1 of 7 common inpatient pediatric conditions (asthma, dehydration, pneumonia, appendicitis, skin infections, mood disorders, and epilepsy). For each condition, we calculated rates of all-cause readmissions and rates of revisits (readmission or presentation to the emergency department) within 30 and 60 days of discharge. We used mixed logistic models to estimate hospital-level risk-standardized 30-day revisit rates and to identify hospitals that had performance statistically different from the group mean.

resultsThirty-day readmission rates were low (<10.0%) for all conditions. Thirty-day rates of revisit to the inpatient or emergency department setting ranged from 6.2% (appendicitis) to 11.0% (mood disorders). Study hospitals (n = 958) had low condition-specific visit volumes (37.0%-82.8% of hospitals had <25 visits). The only condition with >1% of hospitals labeled as different from the mean on 30-day risk-standardized revisit rates was mood disorders (4.2% of hospitals [n = 15], range of hospital performance 6.3%-15.9%).

conclusionsWe found that when comparing hospitals' performances to the average, few hospitals that care for children are identified as high- or low-performers for revisits, even for common pediatric diagnoses, likely due to low hospital volumes. This limits the usefulness of condition-specific readmission or revisit measures in pediatric quality measurement.

Indexed as

AdolescentAppendicitisAsthmaChildChild, PreschoolCross-Sectional StudiesDehydrationEmergency Service, HospitalEpilepsyFemaleHealth Facility SizeHospitals, PediatricHumansInfantMaleMood Disorderschild health researchdelivery of carehealth policyhospital performance variationquality measurementreadmission rates

Identifiers

PMID23979094
PMCPMC3876751

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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.