Evaluating System Level Performance Measures in Healthcare Organisations

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dc.contributor.advisor Hill, A en
dc.contributor.advisor McNeill, R en
dc.contributor.author Cullinane, Frances en
dc.date.accessioned 2016-07-31T21:52:22Z en
dc.date.issued 2016 en
dc.identifier.citation 2016 en
dc.identifier.uri http://hdl.handle.net/2292/29685 en
dc.description Available to authenticated members of The University of Auckland. en
dc.description.abstract Background: System level performance measures measure the overall quality of a healthcare organisation. Counties Manukau Health (CMH) developed their own set of 16 system level performance measures. These are presented to stakeholders as a ‘drill-down’, which is a narrative of the analysis of the data of the System Level Measure and contributory measures. Given their importance in communicating the performance of CMH, it was necessary to assess what worked well and what didn’t work so well with these drill-downs. Methods: A literature review was firstly conducted to identify the effects of the implementation of system level performance measures in healthcare organisations. In a separate yet related piece of work, Success Case Methodology was used to firstly define and identify ‘successful’ and ‘less successful’ System Level Measure drill-downs at CMH. This then informed the second part of the evaluation to assess what worked well and what didn’t work so well the drill-downs. Both parts of the evaluation used qualitative, semi-structured interviews with participants who met set eligibility criteria. Findings: Thirty-seven peer-reviewed and grey literature were included in the review. Synthesis of results revealed that system level performance measures: identified where improvements were needed; improved professional relationships; motivated employees to exceed performance; allowed for intra- and inter-hospital comparisons; stimulated learning opportunities; increased the quality of data; and created pressure from colleagues to improve performance. The evaluation interviewed eight participants for the first part and three participants for the second. Analysis of the four drill-down case studies revealed the following worked well: making the drill-down meaningful, using accessible and good quality data, having comparative performances, using collaboration to compile the drill-down, demonstrating how the measure is a system level performance measure, having action points, having many contributory measures, incorporating literature, and having clear and agreed-upon definitions. The following didn’t work so well: having poor or no collaboration, having data issues, using inconsistent or limited definitions, excluding contributory measures, and having no action points. Conclusion: These findings should be used to guide the compilation of future drill-downs at CMH, to increase the likelihood of success. Given that the drill-downs may evolve with time as the organisation’s priorities change, it is recommend that evaluations be conducted often to ensure the drill-downs remain successful. en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof Masters Thesis - University of Auckland en
dc.relation.isreferencedby UoA en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights Restricted Item. Available to authenticated members of The University of Auckland. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Evaluating System Level Performance Measures in Healthcare Organisations en
dc.type Thesis en
thesis.degree.discipline Public Health en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Masters en
dc.rights.holder Copyright: The Author en
pubs.elements-id 537340 en
pubs.record-created-at-source-date 2016-08-01 en


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