Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/2218
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dc.contributor.authorMcKenzie, Dean-
dc.contributor.authorChorley, Tracy-
dc.contributor.authorLoke, Jane-
dc.contributor.authorFowler Steen, Spencer-
dc.contributor.authorFisher, Alison-
dc.date.accessioned2023-09-22T04:38:05Z-
dc.date.available2023-09-22T04:38:05Z-
dc.date.issued2023-10-
dc.identifier.urihttp://hdl.handle.net/11434/2218-
dc.description.abstractAIMS: In assessing and improving quality in Healthcare , we often compare numbers of events, e.g., falls or deaths, across hospitals and/ or wards, using a variety of statistical methods, including graphical ones. To apply two statistical methods to compare mortality data between hospitals. CONCLUSIONS: Both methods reach the same conclusions regarding mortality. While chi square is a widely used method for overall comparisons, funnel plots allow visual comparison of individual hospitals with the overall mean. The latter technique takes hospital size into account and can readily be applied to risk adjusted data. Therefore, funnel plots should be used more often in comparative studies in healthcare.en_US
dc.subjectHealth Care Servicesen_US
dc.subjectHospitalsen_US
dc.subjectComparisonen_US
dc.subjectMortality Dataen_US
dc.subjectStatistical Methodsen_US
dc.subjectChi-Squareen_US
dc.subjectFunnel Ploten_US
dc.subjectHealth Administration, Epworth HealthCare, Victoria, Australiaen_US
dc.titleBest versus the rest : Comparing hospitals graphically.en_US
dc.typeConference Posteren_US
dc.description.affiliatesMonash Universityen_US
dc.description.affiliatesSwinburne Universityen_US
dc.description.affiliatesDeakin Universityen_US
dc.type.studyortrialComparative Studyen_US
dc.description.conferencenameEpworth HealthCare Research Month 2023en_US
dc.description.conferencelocationEpworth Research Institute, Victoria, Australiaen_US
dc.type.contenttypeTexten_US
Appears in Collections:Research Week

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