Evidence map›Paper›PMID 26927625›Full record

ArticleHealth services research2016

Indirect Standardization Matching: Assessing Specific Advantage and Risk Synergy.

Jeffrey H Silber, Paul R Rosenbaum, Richard N Ross, Justin M Ludwig, Wei Wang, Bijan A Niknam, Alexander S Hill, Orit Even-Shoshan, Rachel R Kelz, Lee A Fleisher

Abstract read
In one paragraph

Article in Health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Trial
  2. Review
  3. Assessing Hospital Surgical Quality.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025
    Article
  4. Measuring quality of care in moderate and late preterm infants.Journal of perinatology : official journal of the California Perinatal Association · 2022
    Article
  5. Emerging approaches to multiple chronic condition assessment.Journal of the American Geriatrics Society · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. 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.

Jeffrey H SilberCenter for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, PA.
Paul R RosenbaumThe Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA.
Richard N RossCenter for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, PA.
Justin M LudwigCenter for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, PA.
Wei WangCenter for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, PA.
Bijan A NiknamCenter for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, PA.
Alexander S HillCenter for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, PA.
Orit Even-ShoshanCenter for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, PA.
Rachel R KelzThe Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA.
Lee A FleisherDepartment of Anesthesiology and Critical Care, The University of Pennsylvania School of Medicine, Philadelphia, PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a method to allow a hospital to compare its performance using its entire patient population to the outcomes of very similar patients treated elsewhere. DATA SOURCES/

settingMedicare claims in orthopedics and common general, gynecologic, and urologic surgery from Illinois, New York, and Texas from 2004 to 2006. STUDY

designUsing two example "focal" hospitals, each hospital's patients were matched to 10 very similar patients selected from 619 other hospitals. DATA COLLECTION/EXTRACTION

methodsAll patients were used at each focal hospital, and we found the 10 closest matched patients from control hospitals with exactly the same principal procedure as each focal patient. PRINCIPAL

findingsWe achieved exact matches on all procedures and very close matches for other patient characteristics for both hospitals. There were few to no differences between each hospital's patients and their matched control patients on most patient characteristics, yet large and significant differences were observed for mortality, failure-to-rescue, and cost.

conclusionIndirect standardization matching can produce fair audits of quality and cost, allowing for a comprehensive, transparent, and relevant assessment of all patients at a focal hospital. With this approach, hospitals will be better able to benchmark their performance and determine where quality improvement is most needed.

Indexed as

BenchmarkingHospital CostsHumansIllinoisMedicareModels, StatisticalNew YorkOutcome Assessment, Health CareQuality of Health CareRiskTexasUnited Statescosthealth care researchoutcomes researchQuality of care

Identifiers

PMID26927625
PMCPMC5134157

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.