↓ Skip to main content

From problem people to addictive products: a qualitative study on rethinking gambling policy from the perspective of lived experience

Overview of attention for article published in Harm Reduction Journal, April 2018
Altmetric Badge

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 (90th percentile)

Mentioned by

blogs
1 blog
twitter
25 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
60 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
From problem people to addictive products: a qualitative study on rethinking gambling policy from the perspective of lived experience
Published in
Harm Reduction Journal, April 2018
DOI 10.1186/s12954-018-0220-3
Pubmed ID
Authors

Helen E. Miller, Samantha L. Thomas, Priscilla Robinson

Abstract

Previous research has shown that government and industry discussions of gambling may focus on personal responsibility for gambling harm. In Australia, these discussions have largely excluded people with lived experience of problem gambling, including those involved in peer support and advocacy. We conducted 26 in-depth interviews with people with current or previous problem gambling on electronic gaming machines (EGMs) involved in peer support and advocacy activities, using an approach informed by Interpretive Policy Analysis and Constructivist Grounded Theory. Participants perceived that government and industry discussed gambling as safe and entertaining with a focus on personal responsibility for problem gambling. This focus on personal responsibility was perceived to increase stigma associated with problem gambling. In contrast, they described gambling as risky, addictive and harmful, with problem gambling resulting from the design of EGMs. As a result of their different perspectives, participants proposed different interventions to reduce gambling harm, including reducing accessibility and making products safer. Challenging the discourses used by governments and industry to describe gambling, using the lived experience of people with experience of gambling harm, may result in reduced stigma associated with problem gambling, and more effective public policy approaches to reducing harm.

Twitter Demographics

The data shown below were collected from the profiles of 25 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Bachelor 9 15%
Unspecified 7 12%
Student > Ph. D. Student 6 10%
Student > Master 4 7%
Other 9 15%
Unknown 15 25%
Readers by discipline Count As %
Social Sciences 14 23%
Psychology 10 17%
Unspecified 7 12%
Nursing and Health Professions 4 7%
Agricultural and Biological Sciences 2 3%
Other 8 13%
Unknown 15 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 23 March 2020.
All research outputs
#1,204,066
of 21,343,339 outputs
Outputs from Harm Reduction Journal
#187
of 852 outputs
Outputs of similar age
#29,084
of 298,066 outputs
Outputs of similar age from Harm Reduction Journal
#1
of 1 outputs
Altmetric has tracked 21,343,339 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 852 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 78% 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 298,066 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them