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dc.contributor.authorWeissman, Norman W.
dc.contributor.authorAllison, Jeroan J.
dc.contributor.authorKiefe, Catarina I.
dc.contributor.authorFarmer, Robert M.
dc.contributor.authorWeaver, Michael T.
dc.contributor.authorWilliams, O. Dale
dc.contributor.authorChild, Ian G.
dc.contributor.authorPemberton, Judy H.
dc.contributor.authorBrown, Kathleen C.
dc.contributor.authorBaker, C. Suzanne
dc.date2022-08-11T08:10:35.000
dc.date.accessioned2022-08-23T17:13:45Z
dc.date.available2022-08-23T17:13:45Z
dc.date.issued1999-08-26
dc.date.submitted2010-04-27
dc.identifier.citationJ Eval Clin Pract. 1999 Aug;5(3):269-81.
dc.identifier.issn1356-1294 (Linking)
dc.identifier.pmid10461579
dc.identifier.urihttp://hdl.handle.net/20.500.14038/46802
dc.description.abstractBenchmarking is generally considered to be an important tool for quality improvement. Traditional approaches to benchmarking have relied on subjective identification of 'leaders in the field'. We derive an objective, reproducible and attainable Achievable Benchmark of Care (ABC) by measuring and analysing performance on process-of-care indicators. Three characteristics of the ABC that we deem essential are: (1) benchmarks represent a measurable level of excellence; (2) benchmarks are demonstrably attainable; (3) benchmarks are derived from data in an objective, reproducible and predetermined fashion. From these characteristics it follows that (4) providers with high performance are selected to define a level of excellence in a predetermined fashion, but (5) providers with high performance on small numbers of cases do not influence unduly benchmark levels. We use the 'pared mean' to operationalize the ABC. Roughly, the pared mean summarizes the performance of top-ranked providers whereby at least 10% of the patient pool across all providers is included. Bayesian estimators for adjustment of performance of providers with small sample sizes are used to rank providers. Randomized controlled trials to assess the independent effect of the ABC in quality improvement projects are under way. We have developed a methodology objectively and reproducibly to derive a level of excellent, attainable performance, based on measured performance by a group of providers. The ABC can be applied to groups of providers in communities, to institutions and departments within them, or to individual practitioners.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=10461579&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1046/j.1365-2753.1999.00203.x
dc.subjectBayes Theorem
dc.subjectBenchmarking
dc.subjectClinical Competence
dc.subjectHumans
dc.subjectOutcome and Process Assessment (Health Care)
dc.subjectPhysician's Practice Patterns
dc.subjectQuality Indicators, Health Care
dc.subjectRisk Adjustment
dc.subject*Total Quality Management
dc.subjectUnited States
dc.subjectBioinformatics
dc.subjectBiostatistics
dc.subjectEpidemiology
dc.subjectHealth Services Research
dc.titleAchievable benchmarks of care: the ABCs of benchmarking
dc.typeJournal Article
dc.source.journaltitleJournal of evaluation in clinical practice
dc.source.volume5
dc.source.issue3
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/127
dc.identifier.contextkey1287872
html.description.abstract<p>Benchmarking is generally considered to be an important tool for quality improvement. Traditional approaches to benchmarking have relied on subjective identification of 'leaders in the field'. We derive an objective, reproducible and attainable Achievable Benchmark of Care (ABC) by measuring and analysing performance on process-of-care indicators. Three characteristics of the ABC that we deem essential are: (1) benchmarks represent a measurable level of excellence; (2) benchmarks are demonstrably attainable; (3) benchmarks are derived from data in an objective, reproducible and predetermined fashion. From these characteristics it follows that (4) providers with high performance are selected to define a level of excellence in a predetermined fashion, but (5) providers with high performance on small numbers of cases do not influence unduly benchmark levels. We use the 'pared mean' to operationalize the ABC. Roughly, the pared mean summarizes the performance of top-ranked providers whereby at least 10% of the patient pool across all providers is included. Bayesian estimators for adjustment of performance of providers with small sample sizes are used to rank providers. Randomized controlled trials to assess the independent effect of the ABC in quality improvement projects are under way. We have developed a methodology objectively and reproducibly to derive a level of excellent, attainable performance, based on measured performance by a group of providers. The ABC can be applied to groups of providers in communities, to institutions and departments within them, or to individual practitioners.</p>
dc.identifier.submissionpathqhs_pp/127
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages269-81


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