Los Top 20 2000: objetivos, ventajas y limitaciones del método

Garcı́a-Eroles, Luis; Illa, Carles; Arias, A.; Casas, Mercè

doi:10.1016/s1134-282x(01)77392-7

Cited by 27 publications

(8 citation statements)

References 5 publications

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“…However, statistical analysis has shown a good discrimination and calibration of the mortality predictive model used by IASIST. 20 Furthermore, several US studies demonstrate that these popular hospital profiling systems ( The Top 20, The Best Hospitals ), in spite of their limitations, produce results in accordance with more elaborate data sources used to assess health care performance in AMI. 30 Our small sample size (around 21% of public acute hospitals in Spain) and the non-random hospital selection further limit the scope for inferences and generalizations.…”

Section: Discussionmentioning

confidence: 91%

“…Health care quality data for cardiovascular conditions were provided by IASIST, a private company that has produced annual public reports since 2000 on the performance of voluntarily participating hospitals in Spain. 20 Benchmarks for cardiovascular conditions were released in 2003 and in 2006. 21,22 Confidential agreements preclude the identification of participating hospitals.…”

Section: Methodsmentioning

confidence: 99%

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Is there an association between the quality of hospitals’ research and their quality of care?

Pons

Sais²,

Illa³

et al. 2010

J Health Serv Res Policy

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Section: Discussionmentioning

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Is there an association between the quality of hospitals’ research and their quality of care?

Pons

Sais²,

Illa³

et al. 2010

J Health Serv Res Policy

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“…We included four hospital-level indicators which are calculated based on the ratio of the observed to expected number of cases, taking into consideration hospital-specific case mix and severity (Table 1 ). Details on the indicators have been published by IASIST [ 15 , 16 ] and statistics and calibrations are attached in Additional File 1 Annex 1. All IASIST indicators for this analysis are based on 2007 data to match the data on the quality improvement system that was gathered within the MARQuIS project in the same year.…”

Section: Methodsmentioning

confidence: 99%

Is the maturity of hospitals' quality improvement systems associated with measures of quality and patient safety?

Groene

Mora

Thompson

et al. 2011

BMC Health Serv Res

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BackgroundPrevious research addressed the development of a classification scheme for quality improvement systems in European hospitals. In this study we explore associations between the 'maturity' of the hospitals' quality improvement system and clinical outcomes.MethodsThe maturity classification scheme was developed based on survey results from 389 hospitals in eight European countries. We matched the hospitals from the Spanish sample (113 hospitals) with those hospitals participating in a nation-wide, voluntary hospital performance initiative. We then compared sample distributions and explored associations between the 'maturity' of the hospitals' quality improvement system and a range of composite outcomes measures, such as adjusted hospital-wide mortality, -readmission, -complication and -length of stay indices. Statistical analysis includes bivariate correlations for parametrically and non-parametrically distributed data, multiple robust regression models and bootstrapping techniques to obtain confidence-intervals for the correlation and regression estimates.ResultsOverall, 43 hospitals were included. Compared to the original sample of 113, this sample was characterized by a higher representation of university hospitals. Maturity of the quality improvement system was similar, although the matched sample showed less variability. Analysis of associations between the quality improvement system and hospital-wide outcomes suggests significant correlations for the indicator adjusted hospital complications, borderline significance for adjusted hospital readmissions and non-significance for the adjusted hospital mortality and length of stay indicators. These results are confirmed by the bootstrap estimates of the robust regression model after adjusting for hospital characteristics.ConclusionsWe assessed associations between hospitals' quality improvement systems and clinical outcomes. From this data it seems that having a more developed quality improvement system is associated with lower rates of adjusted hospital complications. A number of methodological and logistic hurdles remain to link hospital quality improvement systems to outcomes. Further research should aim at identifying the latent dimensions of quality improvement systems that predict quality and safety outcomes. Such research would add pertinent knowledge regarding the implementation of organizational strategies related with quality of care outcomes.

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“…References to global quality development through performance evaluation of medical services are scarce, but comparisons of overall hospital quality performance exist in the US, the UK and Spain [44][45][46].…”

Section: Discussionmentioning

confidence: 99%

Public hospital management in times of crisis: Lessons learned from Cienfuegos, Cuba (1996–2008)

et al. 2010

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Los Top 20 2000: objetivos, ventajas y limitaciones del método

Cited by 27 publications

References 5 publications

Is there an association between the quality of hospitals’ research and their quality of care?

Is there an association between the quality of hospitals’ research and their quality of care?

Is the maturity of hospitals' quality improvement systems associated with measures of quality and patient safety?

Public hospital management in times of crisis: Lessons learned from Cienfuegos, Cuba (1996–2008)

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