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An analysis of policy levers used to implement mental health reform in Australia 1992-2012

Overview of attention for article published in BMC Health Services Research, October 2015
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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1 policy source
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93 Mendeley
Title
An analysis of policy levers used to implement mental health reform in Australia 1992-2012
Published in
BMC Health Services Research, October 2015
DOI 10.1186/s12913-015-1142-3
Pubmed ID
Authors

Francesca C. Grace, Carla S. Meurk, Brian W. Head, Wayne D. Hall, Georgia Carstensen, Meredith G. Harris, Harvey A. Whiteford

Abstract

Over the past two decades, mental health reform in Australia has received unprecedented government attention. This study explored how five policy levers (organisation, regulation, community education, finance and payment) were used by the Australian Federal Government to implement mental health reforms. Australian Government publications, including the four mental health plans (published in 1992, 1998, 2003 and 2008) were analysed according to policy levers used to drive reform across five priority areas: [1] human rights and community attitudes; [2] responding to community need; [3] service structures; [4] service quality and effectiveness; and [5] resources and service access. Policy levers were applied in varying ways; with two or three levers often concurrently used to implement a single initiative or strategy. For example, changes to service structures were achieved using various combinations of all five levers. Attempts to improve service quality and effectiveness were instead made through a single lever-regulation. The use of some levers changed over time, including a move away from prescriptive, legislative use of regulation, towards a greater focus on monitoring service standards and consumer outcomes. Patterns in the application of policy levers across the National Mental Health Strategy, as identified in this analysis, represent a novel way of conceptualising the history of mental health reform in Australia. An improved understanding of the strategic targeting and appropriate utilisation of policy levers may assist in the delivery and evaluation of evidence-based mental health reform in the future.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Brazil 1 1%
Unknown 91 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 14%
Student > Bachelor 12 13%
Student > Ph. D. Student 10 11%
Researcher 8 9%
Other 5 5%
Other 14 15%
Unknown 31 33%
Readers by discipline Count As %
Psychology 13 14%
Social Sciences 12 13%
Nursing and Health Professions 12 13%
Medicine and Dentistry 10 11%
Engineering 3 3%
Other 9 10%
Unknown 34 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 November 2023.
All research outputs
#7,709,550
of 24,744,050 outputs
Outputs from BMC Health Services Research
#3,781
of 8,365 outputs
Outputs of similar age
#90,756
of 289,714 outputs
Outputs of similar age from BMC Health Services Research
#45
of 135 outputs
Altmetric has tracked 24,744,050 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,365 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 289,714 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.