Can benchmarking Australian hospitals for quality identify and improve high and low performers? Disseminating research findings for hospitals

Author:

Hibbert Peter12ORCID,Saeed Faisal3ORCID,Taylor Natalie45ORCID,Clay-Williams Robyn1ORCID,Winata Teresa1ORCID,Clay Chrissy1,Hussein Wadaha6,Braithwaite Jeffrey1ORCID

Affiliation:

1. Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, North Ryde, NSW 2109, Australia

2. Australian Centre for Precision Health, Cancer Research Institute (UniSA CRI), School of Health Sciences, University of South Australia, Adelaide, SA 5000, Australia

3. Safety and Quality Unit, Women’s and Children’s Hospital, North Adelaide, SA 5006, Australia

4. Cancer Research Division, Cancer Council NSW, 153 Dowling St, Woolloomooloo, NSW 2011, Australia

5. Faculty of Health Sciences, University of Sydney, Camperdown, Sydney, NSW 2006, Australia

6. Child, Youth and Family Services, Riverwood Community Centre, 151 Belmore Road North, Riverwood, NSW 2210, Australia

Abstract

Abstract This paper examines the principles of benchmarking in healthcare and how benchmarking can contribute to practice improvement and improved health outcomes for patients. It uses the Deepening our Understanding of Quality in Australia (DUQuA) study published in this Supplement and DUQuA’s predecessor in Europe, the Deepening our Understanding of Quality improvement in Europe (DUQuE) study, as models. Benchmarking is where the performances of institutions or individuals are compared using agreed indicators or standards. The rationale for benchmarking is that institutions will respond positively to being identified as a low outlier or desire to be or stay as a high performer, or both, and patients will be empowered to make choices to seek care at institutions that are high performers. Benchmarking often begins with a conceptual framework that is based on a logic model. Such a framework can drive the selection of indicators to measure performance, rather than their selection being based on what is easy to measure. A Donabedian range of indicators can be chosen, including structure, process and outcomes, created around multiple domains or specialties. Indicators based on continuous variables allow organizations to understand where their performance is within a population, and their interdependencies and associations can be understood. Benchmarking should optimally target providers, in order to drive them towards improvement. The DUQuA and DUQuE studies both incorporated some of these principles into their design, thereby creating a model of how to incorporate robust benchmarking into large-scale health services research.

Funder

NHMRC

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Health Policy,General Medicine

Reference35 articles.

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