Literature DB >> 10098573

Grading the graders: how hospitals in California and New York perceive and interpret their report cards.

P S Romano1, J A Rainwater, D Antonius.   

Abstract

BACKGROUND: Concerns about quality of care are increasing as hospitals struggle to lower costs. Hospital report cards are controversial, but little is known about their impact.
OBJECTIVES: To determine whether recent hospital report cards are viewed more favorably than pioneering federal efforts; whether a report based on clinical data is viewed more favorably than one based on administrative data; and whether attitudes toward report cards are related to hospital characteristics.
DESIGN: Mailed survey of chief executives at 374 California hospitals and 31 New York hospitals listed in report cards on myocardial infarction and coronary bypass mortality.
SUBJECTS: Two-hundred-and-seventy-four hospitals in California (73.3% response) and 27 in New York (87.1% response). California hospitals were categorized on ownership, size, occupancy, risk-adjusted mortality, teaching status, patient volume, and surgical capability. MEASURES: Number of hospital units that received or discussed the report card, ratings of its quality, perceptions of its usefulness, and knowledge of its methods.
RESULTS: In both states, report cards were widely disseminated within hospitals. The mean quality rating was higher (P = 0.0074) in New York than in California; New York respondents appeared to be more knowledgeable about key methods. One or more hospital characteristics was associated with each outcome measure. Leaders at high-mortality hospitals were especially critical and did not find the report useful, despite limited understanding of its methods.
CONCLUSIONS: Recent hospital report cards were rated better than pioneering federal efforts. A report based on clinical data was rated better, understood better, and disseminated more often to key staff than one that was based on administrative data. Barriers to constructive use of outcomes data persist, especially at high mortality hospitals.

Entities:  

Mesh:

Year:  1999        PMID: 10098573     DOI: 10.1097/00005650-199903000-00009

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  11 in total

1.  Public release of performance data and quality improvement: internal responses to external data by US health care providers.

Authors:  H T Davies
Journal:  Qual Health Care       Date:  2001-06

2.  Using routine comparative data to assess the quality of health care: understanding and avoiding common pitfalls.

Authors:  A E Powell; H T O Davies; R G Thomson
Journal:  Qual Saf Health Care       Date:  2003-04

3.  Factors that influence line managers' perceptions of hospital performance data.

Authors:  Liane Soberman Ginsburg
Journal:  Health Serv Res       Date:  2003-02       Impact factor: 3.402

4.  The Value of Performance Measurement in Promoting Improvements in Women's Health.

Authors:  Emily C Y Siu; Carey Levinton; Adalsteinn D Brown
Journal:  Healthc Policy       Date:  2009-11

5.  Coding for quality measurement: the relationship between hospital structural characteristics and coding accuracy from the perspective of quality measurement.

Authors:  Pavani Rangachari
Journal:  Perspect Health Inf Manag       Date:  2007-04-16

6.  Value-driven health care: the purchasers' perspective.

Authors:  Ruth C Carlos
Journal:  J Am Coll Radiol       Date:  2008-06       Impact factor: 5.532

7.  Translating disparities research to policy: a qualitative study of state mental health policymakers' perceptions of mental health care disparities report cards.

Authors:  Anne Valentine; Darcie DeAngelo; Margarita Alegría; Benjamin L Cook
Journal:  Psychol Serv       Date:  2014-11

8.  Reliability adjustment: a necessity for trauma center ranking and benchmarking.

Authors:  Zain G Hashmi; Justin B Dimick; David T Efron; Elliott R Haut; Eric B Schneider; Syed Nabeel Zafar; Diane Schwartz; Edward E Cornwell; Adil H Haider
Journal:  J Trauma Acute Care Surg       Date:  2013-07       Impact factor: 3.313

9.  Sources of traffic and visitors' preferences regarding online public reports of quality: web analytics and online survey results.

Authors:  Naomi S Bardach; Judith H Hibbard; Felix Greaves; R Adams Dudley
Journal:  J Med Internet Res       Date:  2015-05-01       Impact factor: 5.428

10.  Hospital response to public reporting of quality indicators.

Authors:  Mary Laschober; Myles Maxfield; Suzanne Felt-Lisk; David J Miranda
Journal:  Health Care Financ Rev       Date:  2007
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.