Evidence map›Paper›PMID 32331495›Full record

ArticleInternational journal of health policy and management2020

Gaming New Zealand's Emergency Department Target: How and Why Did It Vary Over Time and Between Organisations?

Tim Tenbensel, Peter Jones, Linda Maree Chalmers, Shanthi Ameratunga, Peter Carswell

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Article in International journal of health policy and management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Tim TenbenselFaculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-7832-3318
Peter JonesAuckland District Health Board Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID 0000-0003-1560-1186
Linda Maree ChalmersAuckland District Health Board, Auckland, New Zealand.
Shanthi AmeratungaSchool of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID 0000-0001-8042-2251
Peter CarswellFaculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-8416-9561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGaming is a potentially dysfunctional consequence of performance measurement and management systems in the health sector and more generally. In 2009, the New Zealand government initiated a Shorter Stays in Emergency Department (SSED) target in which 95% of patients would be admitted, discharged or transferred from an emergency department (ED) within 6 hours. The implementation of similar targets in England led to well-documented practices of gaming. Our research into ED target implementation sought to answer how and why gaming varies over time and between organisations.

methodsWe developed a mixed-methods approach. Four organisation case study sites were selected. ED lengths of stay (ED LOS) were collected over a 6-year period (2007-2012) from all sites and indicators of target gaming were developed. Two rounds of surveys with managers and clinicians were conducted. Interviews (n=68) were conducted with clinicians and managers in EDs and the wider hospital in two phases across all sites. The interview data was used to develop explanations of the patterns of variation across time and across sites detected in the ED LOS data.

resultsOur research established that gaming behaviour - in the form of 'clock-stopping' and decanting patients to short-stay units (SSUs) or observation beds to avoid target breaches - was common across all 4 case study sites. The opportunity to game was due to the absence of independent verification of ED LOS data. Gaming increased significantly over time (2009-2012) as the means to game became more available, usually through the addition or expansion of short-stay facilities attached to EDs. Gaming varied between sites, but those with the highest levels of gaming differed substantially in terms of organisational dynamics and motives. In each case, however, high levels of gaming could be attributed to the strategies of senior management more than to the individual motivations of frontline staff.

conclusionGaming of New Zealand's ED target increased after the real benefits (in terms of process improvement) of the target were achieved. Gaming of ED targets could be minimised by eliminating opportunities to game through independent verification, or by monitoring and limiting the means and motivations to game.

Indexed as

Emergency Service, HospitalHospitalizationHumansNew ZealandSoftwareEmergency DepartmentsGamingNew ZealandPerformance ManagementTargets

Identifiers

PMID32331495
PMCPMC7182144

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.