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An analysis of policy success and failure in formal evaluations of Australia’s national mental health strategy (1992–2012)

Overview of attention for article published in BMC Health Services Research, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
13 tweeters

Citations

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8 Dimensions

Readers on

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72 Mendeley
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Title
An analysis of policy success and failure in formal evaluations of Australia’s national mental health strategy (1992–2012)
Published in
BMC Health Services Research, May 2017
DOI 10.1186/s12913-017-2309-x
Pubmed ID
Authors

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

Abstract

Heightened fiscal constraints, increases in the chronic disease burden and in consumer expectations are among several factors contributing to the global interest in evidence-informed health policy. The present article builds on previous work that explored how the Australian Federal Government applied five instruments of policy, or policy levers, to implement a series of reforms under the Australian National Mental Health Strategy (NMHS). The present article draws on theoretical insights from political science to analyse the relative successes and failures of these levers, as portrayed in formal government evaluations of the NMHS. Documentary analysis of six evaluation documents corresponding to three National Mental Health Plans was undertaken. Both the content and approach of these government-funded, independently conducted evaluations were appraised. An overall improvement was apparent in the development and application of policy levers over time. However, this finding should be interpreted with caution due to variations in evaluation approach according to Plan and policy lever. Tabulated summaries of the success and failure of each policy initiative, ordered by lever type, are provided to establish a resource that could be consulted for future policy-making. This analysis highlights the complexities of health service reform and underscores the limitations of narrowly focused empirical approaches. A theoretical framework is provided that could inform the evaluation and targeted selection of appropriate policy levers in mental health.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 26%
Researcher 9 13%
Student > Ph. D. Student 9 13%
Student > Bachelor 4 6%
Student > Doctoral Student 3 4%
Other 11 15%
Unknown 17 24%
Readers by discipline Count As %
Social Sciences 13 18%
Nursing and Health Professions 12 17%
Medicine and Dentistry 7 10%
Psychology 6 8%
Economics, Econometrics and Finance 4 6%
Other 9 13%
Unknown 21 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 November 2017.
All research outputs
#3,264,593
of 22,977,819 outputs
Outputs from BMC Health Services Research
#1,493
of 7,692 outputs
Outputs of similar age
#62,396
of 316,100 outputs
Outputs of similar age from BMC Health Services Research
#44
of 144 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,692 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 80% 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 316,100 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 144 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 69% of its contemporaries.