Literature DB >> 21536958

The impact of statistical choices on neonatal intensive care unit quality ratings based on nosocomial infection rates.

Henry C Lee1, Alyna T Chien, Naomi S Bardach, Ted Clay, Jeffrey B Gould, R Adams Dudley.   

Abstract

OBJECTIVE: To examine the extent to which performance assessment methods affect the percentage of neonatal intensive care units (NICUs) and very low-birth-weight (VLBW) infants included in performance assessments, the distribution of NICU performance ratings, and the level of agreement in those ratings.
DESIGN: Cross-sectional study based on risk-adjusted nosocomial infection rates.
SETTING: NICUs belonging to the California Perinatal Quality Care Collaborative 2007-2008. PARTICIPANTS: One hundred twenty-six California NICUs and 10 487 VLBW infants. MAIN EXPOSURES: Three performance assessment choices: (1) excluding "low-volume" NICUs (those caring for <30 VLBW infants per year) vs a criterion based on confidence intervals, (2) using Bayesian vs frequentist hierarchical models, and (3) pooling data across 1 vs 2 years. MAIN OUTCOME MEASURES: Proportion of NICUs and patients included in quality assessment, distribution of ratings for NICUs, and agreement between methods using the κ statistic.
RESULTS: Depending on the methods applied, 51% to 85% of NICUs and 72% to 96% of VLBW infants were included in performance assessments, 76% to 87% of NICUs were considered "average," and the level of agreement between NICU ratings ranged from 0.23 to 0.89.
CONCLUSIONS: The percentage of NICUs included in performance assessments and their ratings can shift dramatically depending on performance measurement method. Physicians, payers, and policymakers should continue to closely examine which existing performance assessment methods are most appropriate for evaluating pediatric care quality.

Entities:  

Mesh:

Year:  2011        PMID: 21536958      PMCID: PMC4104272          DOI: 10.1001/archpediatrics.2011.41

Source DB:  PubMed          Journal:  Arch Pediatr Adolesc Med        ISSN: 1072-4710


  36 in total

1.  Quality improvement in chronic illness care: a collaborative approach.

Authors:  E H Wagner; R E Glasgow; C Davis; A E Bonomi; L Provost; D McCulloch; P Carver; C Sixta
Journal:  Jt Comm J Qual Improv       Date:  2001-02

2.  Differential markers for regionalization.

Authors:  S Mehta; H D Atherton; P J Schoettker; R W Hornung; P H Perlstein; U R Kotagal
Journal:  J Perinatol       Date:  2000-09       Impact factor: 2.521

3.  Improving timely childhood immunizations through pay for performance in Medicaid-managed care.

Authors:  Alyna T Chien; Zhonghe Li; Meredith B Rosenthal
Journal:  Health Serv Res       Date:  2010-09-17       Impact factor: 3.402

4.  Qualitative insights into how pediatric pay-for-performance programs are being designed.

Authors:  Alyna T Chien; Matthew W Colman; Lainie Friedman Ross
Journal:  Acad Pediatr       Date:  2009 May-Jun       Impact factor: 3.107

5.  Low-volume coronary artery bypass surgery: measuring and optimizing performance.

Authors:  David M Shahian; Sharon-Lise T Normand
Journal:  J Thorac Cardiovasc Surg       Date:  2008-06       Impact factor: 5.209

6.  Variation in specialty care hospitalization for children with chronic conditions in California.

Authors:  Lisa J Chamberlain; Jia Chan; Pamela Mahlow; Lynne C Huffman; Kristen Chan; Paul H Wise
Journal:  Pediatrics       Date:  2010-05-03       Impact factor: 7.124

7.  Small numbers limit the use of the inpatient pediatric quality indicators for hospital comparison.

Authors:  Naomi S Bardach; Alyna T Chien; R Adams Dudley
Journal:  Acad Pediatr       Date:  2010 Jul-Aug       Impact factor: 3.107

8.  A comparison of a Bayesian vs. a frequentist method for profiling hospital performance.

Authors:  P C Austin; C D Naylor; J V Tu
Journal:  J Eval Clin Pract       Date:  2001-02       Impact factor: 2.431

9.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

10.  Nosocomial infection rates in US children's hospitals' neonatal and pediatric intensive care units.

Authors:  B H Stover; S T Shulman; D F Bratcher; M T Brady; G L Levine; W R Jarvis
Journal:  Am J Infect Control       Date:  2001-06       Impact factor: 2.918

View more
  2 in total

1.  Measuring hospital quality using pediatric readmission and revisit rates.

Authors:  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
Journal:  Pediatrics       Date:  2013-08-26       Impact factor: 7.124

2.  Two-year impact of the alternative quality contract on pediatric health care quality and spending.

Authors:  Alyna T Chien; Zirui Song; Michael E Chernew; Bruce E Landon; Barbara J McNeil; Dana G Safran; Mark A Schuster
Journal:  Pediatrics       Date:  2013-12-23       Impact factor: 7.124

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.