Literature DB >> 25201167

A hospital-specific template for benchmarking its cost and quality.

Jeffrey H Silber1, Paul R Rosenbaum, Richard N Ross, Justin M Ludwig, Wei Wang, Bijan A Niknam, Philip A Saynisch, Orit Even-Shoshan, Rachel R Kelz, Lee A Fleisher.   

Abstract

OBJECTIVE: Develop an improved method for auditing hospital cost and quality tailored to a specific hospital's patient population. DATA SOURCES/
SETTING: Medicare claims in general, gynecologic and urologic surgery, and orthopedics from Illinois, New York, and Texas between 2004 and 2006. STUDY
DESIGN: A template of 300 representative patients from a single index hospital was constructed and used to match 300 patients at 43 hospitals that had a minimum of 500 patients over a 3-year study period. DATA COLLECTION/EXTRACTION
METHODS: From each of 43 hospitals we chose 300 patients most resembling the template using multivariate matching. PRINCIPAL
FINDINGS: We found close matches on procedures and patient characteristics, far more balanced than would be expected in a randomized trial. There were little to no differences between the index hospital's template and the 43 hospitals on most patient characteristics yet large and significant differences in mortality, failure-to-rescue, and cost.
CONCLUSION: Matching can produce fair, directly standardized audits. From the perspective of the index hospital, "hospital-specific" template matching provides the fairness of direct standardization with the specific institutional relevance of indirect standardization. Using this approach, hospitals will be better able to examine their performance, and better determine why they are achieving the results they observe. © Health Research and Educational Trust.

Entities:  

Keywords:  Quality of care; cost; health care research; outcomes research

Mesh:

Year:  2014        PMID: 25201167      PMCID: PMC4213045          DOI: 10.1111/1475-6773.12226

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  19 in total

1.  Optimal matching with minimal deviation from fine balance in a study of obesity and surgical outcomes.

Authors:  Dan Yang; Dylan S Small; Jeffrey H Silber; Paul R Rosenbaum
Journal:  Biometrics       Date:  2011-10-18       Impact factor: 2.571

2.  Preoperative antibiotics and mortality in the elderly.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Martha E Trudeau; Wei Chen; Xuemei Zhang; Scott A Lorch; Rachel Rapaport Kelz; Rachel E Mosher; Orit Even-Shoshan
Journal:  Ann Surg       Date:  2005-07       Impact factor: 12.969

3.  Individual matching with multiple controls in the case of all-or-none responses.

Authors:  O S Miettinen
Journal:  Biometrics       Date:  1969-06       Impact factor: 2.571

4.  The Hospital Compare mortality model and the volume-outcome relationship.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Tanguy J Brachet; Richard N Ross; Laura J Bressler; Orit Even-Shoshan; Scott A Lorch; Kevin G Volpp
Journal:  Health Serv Res       Date:  2010-10       Impact factor: 3.402

5.  Does ovarian cancer treatment and survival differ by the specialty providing chemotherapy?

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Daniel Polsky; Richard N Ross; Orit Even-Shoshan; J Sanford Schwartz; Katrina A Armstrong; Thomas C Randall
Journal:  J Clin Oncol       Date:  2007-04-01       Impact factor: 44.544

6.  Hospital and patient characteristics associated with death after surgery. A study of adverse occurrence and failure to rescue.

Authors:  J H Silber; S V Williams; H Krakauer; J S Schwartz
Journal:  Med Care       Date:  1992-07       Impact factor: 2.983

7.  Influence of patient and hospital characteristics on anesthesia time in medicare patients undergoing general and orthopedic surgery.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Xuemei Zhang; Orit Even-Shoshan
Journal:  Anesthesiology       Date:  2007-02       Impact factor: 7.892

8.  Amplification of Sensitivity Analysis in Matched Observational Studies.

Authors:  Paul R Rosenbaum; Jeffrey H Silber
Journal:  J Am Stat Assoc       Date:  2009-12-01       Impact factor: 5.033

9.  An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction.

Authors:  Harlan M Krumholz; Yun Wang; Jennifer A Mattera; Yongfei Wang; Lein Fang Han; Melvin J Ingber; Sheila Roman; Sharon-Lise T Normand
Journal:  Circulation       Date:  2006-03-20       Impact factor: 29.690

10.  Differences among hospitals in Medicare patient mortality.

Authors:  M R Chassin; R E Park; K N Lohr; J Keesey; R H Brook
Journal:  Health Serv Res       Date:  1989-04       Impact factor: 3.402

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  12 in total

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

Authors:  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
Journal:  Med Care       Date:  2019-08       Impact factor: 2.983

2.  Indirect Standardization Matching: Assessing Specific Advantage and Risk Synergy.

Authors:  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
Journal:  Health Serv Res       Date:  2016-02-29       Impact factor: 3.402

3.  Improving Medicare's Hospital Compare Mortality Model.

Authors:  Jeffrey H Silber; Ville A Satopää; Nabanita Mukherjee; Veronika Rockova; Wei Wang; Alexander S Hill; Orit Even-Shoshan; Paul R Rosenbaum; Edward I George
Journal:  Health Serv Res       Date:  2016-03-14       Impact factor: 3.402

4.  Comparing Outcomes between Antibody Induction Therapies in Kidney Transplantation.

Authors:  Neel Koyawala; Jeffrey H Silber; Paul R Rosenbaum; Wei Wang; Alexander S Hill; Joseph G Reiter; Bijan A Niknam; Orit Even-Shoshan; Roy D Bloom; Deirdre Sawinski; Susanna Nazarian; Jennifer Trofe-Clark; Mary Ann Lim; Jesse D Schold; Peter P Reese
Journal:  J Am Soc Nephrol       Date:  2017-03-20       Impact factor: 10.121

5.  Hospital-specific Template Matching for Benchmarking Performance in a Diverse Multihospital System.

Authors:  Brenda M Vincent; Daniel Molling; Gabriel J Escobar; Timothy P Hofer; Theodore J Iwashyna; Vincent X Liu; Amy K Rosen; Andrew M Ryan; Sarah Seelye; Wyndy L Wiitala; Hallie C Prescott
Journal:  Med Care       Date:  2021-12-01       Impact factor: 2.983

6.  Emerging approaches to multiple chronic condition assessment.

Authors:  Jerry Suls; Marcel E Salive; Siran M Koroukian; Farrokh Alemi; Jeffrey H Silber; Gabi Kastenmüller; Carrie N Klabunde
Journal:  J Am Geriatr Soc       Date:  2022-06-14       Impact factor: 7.538

7.  Comparison of the Value of Nursing Work Environments in Hospitals Across Different Levels of Patient Risk.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Matthew D McHugh; Justin M Ludwig; Herbert L Smith; Bijan A Niknam; Orit Even-Shoshan; Lee A Fleisher; Rachel R Kelz; Linda H Aiken
Journal:  JAMA Surg       Date:  2016-06-01       Impact factor: 14.766

8.  Emergency medical services key performance measurement in Asian cities.

Authors:  Nik Hisamuddin Rahman; Hideharu Tanaka; Sang Do Shin; Yih Yng Ng; Thammapad Piyasuwankul; Chih-Hao Lin; Marcus Eng Hock Ong
Journal:  Int J Emerg Med       Date:  2015-04-23

9.  Template matching for benchmarking hospital performance in the veterans affairs healthcare system.

Authors:  Brenda M Vincent; Wyndy L Wiitala; Kaitlyn A Luginbill; Daniel J Molling; Timothy P Hofer; Andrew M Ryan; Hallie C Prescott
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

10.  Developing a template matching algorithm for benchmarking hospital performance in a diverse, integrated healthcare system.

Authors:  Daniel Molling; Brenda M Vincent; Wyndy L Wiitala; Gabriel J Escobar; Timothy P Hofer; Vincent X Liu; Amy K Rosen; Andrew M Ryan; Sarah Seelye; Hallie C Prescott
Journal:  Medicine (Baltimore)       Date:  2020-06-12       Impact factor: 1.817

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