Evidence map›Paper›PMID 26237469›Full record

ArticleJAMA pediatrics2015

Same-Hospital Readmission Rates as a Measure of Pediatric Quality of Care.

Alisa Khan, Mari M Nakamura, Alan M Zaslavsky, Jisun Jang, Jay G Berry, Jeremy Y Feng, Mark A Schuster

Abstract read
In one paragraph

Article in JAMA pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

  1. Pooled it
  2. COVID-19 and Unplanned Paediatric Hospital Readmissions in Australia: A Retrospective Cohort Study.International journal of environmental research and public health · 2026
    Article
  3. Article
  4. Observational
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  10. Risk factors for hospital readmission among infants with prolonged neonatal intensive care stays.Journal of perinatology : official journal of the California Perinatal Association · 2022
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  18. Association of gastrostomy placement on hospital readmission in premature infants.Journal of perinatology : official journal of the California Perinatal Association · 2019
    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

7 authors.

Alisa KhanDivision of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts2Department of Pediatrics, Harvard Medical School, Boston, Massachusetts.
Mari M NakamuraDivision of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts2Department of Pediatrics, Harvard Medical School, Boston, Massachusetts3Division of Infectious Diseases, Boston Children's Hospital, Boston, Massachusetts.
Alan M ZaslavskyDepartment of Healthcare Policy, Harvard Medical School, Boston, Massachusetts.
Jisun JangClinical Research Center, Boston Children's Hospital, Boston, Massachusetts.
Jay G BerryDivision of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts2Department of Pediatrics, Harvard Medical School, Boston, Massachusetts.
Jeremy Y Fengcurrently a medical student at Harvard Medical School, Boston, Massachusetts.
Mark A SchusterDivision of General Pediatrics, Boston Children's Hospital, Boston, Massachusetts2Department of Pediatrics, Harvard Medical School, Boston, Massachusetts.

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
Training in Child Health Services Research and Implementation ScienceT32HS000063 · AHRQ · CHILDREN'S HOSPITAL BOSTON · PI GARABEDIAN, LAURA FADEN, WALSH, KATHLEEN ELIZABETH · 1994 to 2024
$7.6M
Mentored Career Development for Child and Family Centered Outcomes ResearchK12HS022986 · AHRQ · BOSTON CHILDREN'S HOSPITAL · PI FINKELSTEIN, JONATHAN A · 2014 to 2018
$3.8M
AHRQ HHS K12 HS022986AHRQ HHS T32 HS000063AHRQ HHS T32HS000063AHRQ HHS U18 HS 020513AHRQ HHS U18 HS020513
6 · The paper itself

Abstract

importanceHealth care systems, payers, and hospitals use hospital readmission rates as a measure of quality. Although hospitals can track readmissions back to themselves (hospital A to hospital A), they lack information when their patients are readmitted to different hospitals (hospital A to hospital B). Because hospitals lack different-hospital readmission (DHR) data, they may underestimate all-hospital readmission (AHR) rates (hospital A to hospital A or B).

objectivesTo determine the prevalence of 30-day pediatric DHRs; to assess the effect of DHR on readmission performance; and to identify patient and hospital characteristics associated with DHR. DESIGN, SETTING, AND

participantsWe analyzed all-payer inpatient claims for 701,263 pediatric discharges (patients aged 0-17 years) from 177 acute care hospitals in New York State from January 1, 2005, through November 30, 2009, to identify 30-day same-hospital readmissions (SHRs), DHRs, and AHRs. Data analysis was performed from March 12, 2013, through April 6, 2015. We compared excess readmission ratios (calculated per the Medicare formula) using SHRs and AHRs to determine what might happen if the federal formula were applied to a specific state and to evaluate how often hospitals might accurately anticipate-using data available to them--whether they would incur penalties (excess readmission ratio >1) for readmissions. Using multivariate logistic regression, we identified patient- and hospital-level predictors of DHR vs SHR. MAIN OUTCOMES AND MEASURES: The proportion of DHRs vs SHRs, AHR and SHR rates, and excess readmissions.

resultsDifferent-hospital readmissions constituted 13.9% of 31,325 AHRs. At the individual hospital level, the median (interquartile range) percentage of DHRs was 21.6% (12.8%-39.1%). The median (interquartile range) adjusted AHR rate was 3.4% (3.0%-4.1%), 38.9% higher than the median adjusted SHR rate of 2.5% (2.0%-3.4%) (P < .001). Excess readmission ratios using SHRs inaccurately anticipated penalties (changed from >1 to ≤ 1 or vice versa) for 20 of the 177 hospitals (11.3%); all were nonchildren's hospitals and 18 of 20 (90.0%) were nonteaching hospitals. Characteristics associated with higher odds ratios (ORs) (reported with 95% CIs) of DHR in multivariate analyses included being younger (compared with age <1 year, ORs [95% CIs] for the other age categories ranged from 0.76 [0.66-0.88] to 0.85 [0.73-0.99]); being white (ORs [95% CIs] for nonwhite race/ethnicity ranged from 0.74 [0.65-0.84] to 0.88 [0.79-0.99]); having private insurance (1.14 [1.04-1.24]); having a chronic condition indicator for a mental disorder (1.33 [1.13-1.56]) or a disease of the nervous system (1.37 [1.20-1.57]) or circulatory system (1.20 [1.00-1.43]); and admission to a nonchildren's (1.62 [1.01-2.60]), urban (ORs for nonurban hospitals ranged from 0.35 [0.24-0.52] to 0.36 [0.21-0.64]), or lower-volume (0.73 [0.64-0.84]) hospital (P < .05 for each). CONCLUSIONS AND RELEVANCE: Different-hospital readmissions differentially affect hospitals' pediatric readmission rates and anticipated performance, making SHRs an incomplete surrogate for AHRs-particularly for certain hospital types. Failing to incorporate DHRs into readmission measurement may impede quality assessment, anticipation of penalties, and quality improvement.

Indexed as

Quality Indicators, Health CareAdolescentChildChild, PreschoolFemaleHospitalsHumansInfantInfant, NewbornMaleNew YorkPatient ReadmissionPediatricsPrevalenceRisk Factors

Identifiers

PMID26237469
PMCPMC5336323

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.