Evidence map›Paper›PMID 31268953›Full record

ArticleMedical care2019

Comparing Resource Use in Medical Admissions of Children With Complex Chronic Conditions.

Jeffrey H Silber, Paul R Rosenbaum, Samuel D Pimentel, Shawna Calhoun, Wei Wang, James E Sharpe, Joseph G Reiter, Shivani A Shah, Lauren L Hochman, Orit Even-Shoshan

Open access · greenAbstract readComparative Study
In one paragraph

Article in Medical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

10 authors at 4 institutions in 2 countries.

Jeffrey H SilberCenter for Outcomes Research, Children's Hospital of Philadelphia.
Paul R RosenbaumThe Leonard Davis Institute of Health Economics.
Samuel D PimentelDepartment of Statistics, University of California, Berkeley, CA.
Shawna CalhounCenter for Outcomes Research, Children's Hospital of Philadelphia.
Wei WangCenter for Outcomes Research, Children's Hospital of Philadelphia.
James E SharpeCenter for Outcomes Research, Children's Hospital of Philadelphia.
Joseph G ReiterCenter for Outcomes Research, Children's Hospital of Philadelphia.
Shivani A ShahCenter for Outcomes Research, Children's Hospital of Philadelphia.
Lauren L HochmanCenter for Outcomes Research, Children's Hospital of Philadelphia.
Orit Even-ShoshanCenter for Outcomes Research, Children's Hospital of Philadelphia.
Children's Hospital of Philadelphia · USInstitute of Health Economics · CAPediatrics and Genetics · USUniversity of California, Berkeley · US

Funding

A Pediatric Quality Measurement Center and Testing LaboratoryU18HS020508 · AHRQ · CHILDREN'S HOSP OF PHILADELPHIA · PI SILBER, JEFFREY H · 2011 to 2014
$6.9M
2016 SETAC Asia/Pacific ConferenceR13ES027302 · NIEHS · SOCIETY/ENVIRONMENTAL TOXICOLOGY/CHEM · PI MENZIE, CHARLES · 2016 to 2016
$6k
AHRQ HHS U18 HS020508NIEHS NIH HHS 27302C0028
6 · The paper itself

Abstract

backgroundChildren with complex chronic conditions (CCCs) utilize a disproportionate share of hospital resources.

objectiveWe asked whether some hospitals display a significantly different pattern of resource utilization than others when caring for similar children with CCCs admitted for medical diagnoses. RESEARCH

designUsing Pediatric Health Information System data from 2009 to 2013, we constructed an inpatient Template of 300 children with CCCs, matching these to 300 patients at each hospital, thereby performing a type of direct standardization. SUBJECTS: Children with CCCs were drawn from a list of the 40 most common medical principal diagnoses, then matched to patients across 40 Children's Hospitals. MEASURES: Rate of intensive care unit admission, length of stay, resource cost.

resultsFor the Template-matched patients, when comparing resource use at the lower 12.5-percentile and upper 87.5-percentile of hospitals, we found: intensive care unit utilization was 111% higher (6.6% vs. 13.9%, P<0.001); hospital length of stay was 25% higher (2.4 vs. 3.0 d/admission, P<0.001); and finally, total cost per patient varied by 47% ($6856 vs. $10,047, P<0.001). Furthermore, some hospitals, compared with their peers, were more efficient with low-risk patients and less efficient with high-risk patients, whereas other hospitals displayed the opposite pattern.

conclusionsHospitals treating similar patients with CCCs admitted for similar medical diagnoses, varied greatly in resource utilization. Template Matching can aid chief quality officers benchmarking their hospitals to peer institutions and can help determine types of their patients having the most aberrant outcomes, facilitating quality initiatives to target these patients.

Indexed as

ChildChronic DiseaseFemaleHospital CostsHospitalizationHospitalsHumansIntensive Care Units, PediatricLength of StayMalePatient Acceptance of Health CareRisk Factors

Identifiers

PMID31268953
PMCPMC6652225
OpenAlexW2953599329

What OpenQuestion holds

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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.