Improving quality indicator report cards through Bayesian modeling

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dc.contributor.author Byron Gajewski en_US
dc.contributor.author Jonathan Mahnken en_US
dc.contributor.author Nancy Dunton en_US
dc.date.accessioned 2009-05-05T16:43:48Z
dc.date.available 2008 - en_US
dc.date.available 2009-05-05T16:43:48Z
dc.date.issued 2005-02-23 en_US
dc.identifier.citation Byron Gajewski;Jonathan Mahnken;Nancy Dunton: Improving quality indicator report cards through Bayesian modeling. BMC Med Res Methodol 2008, 8(1):77. en_US
dc.identifier.uri http://www.biomedcentral.com/1471-2288/8/77 en_US
dc.identifier.uri http://hdl.handle.net/2271/631
dc.description.abstract BACKGROUND:The National Database for Nursing Quality Indicators® (NDNQI®) was established in 1998 to assist hospitals in monitoring indicators of nursing quality (eg, falls and pressure ulcers). Hospitals participating in NDNQI transmit data from nursing units to an NDNQI data repository. Data are summarized and published in reports that allow participating facilities to compare the results for their units with those from other units across the nation. A disadvantage of this reporting scheme is that the sampling variability is not explicit. For example, suppose a small nursing unit that has 2 out of 10 (rate of 20%) patients with pressure ulcers. Should the nursing unit immediately undertake a quality improvement plan because of the rate difference from the national average (7%)?METHODS:In this paper, we propose approximating 95% credible intervals (CrIs) for unit-level data using statistical models that account for the variability in unit rates for report cards.RESULTS:Bayesian CrIs communicate the level of uncertainty of estimates more clearly to decision makers than other significance tests.CONCLUSION:A benefit of this approach is that nursing units would be better able to distinguish problematic or beneficial trends from fluctuations likely due to chance. en_US
dc.format.extent 367637 bytes
dc.format.extent 2910 bytes
dc.format.extent 12055 bytes
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dc.format.extent 43 bytes
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.format.mimetype application/octet-stream
dc.format.mimetype application/octet-stream
dc.format.mimetype application/octet-stream
dc.language en en_US
dc.language.iso en_US
dc.publisher BioMedCentral en_US
dc.relation.ispartof 1471-2288 en_US
dc.relation.hasversion http://www.biomedcentral.com/content/pdf/1471-2288-8-77.pdf en_US
dc.rights This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. en_US
dc.rights.uri http://creativecommons.org/licenses/by/2.0 en_US
dc.subject.mesh Demography en_US
dc.subject.mesh Diet en_US
dc.subject.mesh Exercise en_US
dc.subject.mesh Humans en_US
dc.subject.mesh Randomized Controlled Trials as Topic/ standards en_US
dc.subject.mesh Research Design/ standards en_US
dc.subject.mesh Weight Loss en_US
dc.title Improving quality indicator report cards through Bayesian modeling en_US
dc.type article en_US
dc.date.captured 2009-04-27 en_US
dc.identifier.doi doi:10.1186/1471-2288-8-77 en_US
dc.identifier.pmid 15727681 en_US

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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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