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Developing a model of help giving towards people with a mental health problem: a qualitative study of Mental Health First Aid participants

Overview of attention for article published in International Journal of Mental Health Systems, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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1 blog
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Citations

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15 Dimensions

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61 Mendeley
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Title
Developing a model of help giving towards people with a mental health problem: a qualitative study of Mental Health First Aid participants
Published in
International Journal of Mental Health Systems, August 2018
DOI 10.1186/s13033-018-0228-9
Pubmed ID
Authors

Alyssia Rossetto, Anthony F. Jorm, Nicola J. Reavley

Abstract

Members of the public frequently perform mental health first aid actions in daily life, and people with mental health problems often cite informal supports as motivators of professional treatment seeking. However, a thorough understanding of how, when and why these actions are undertaken is lacking. This research aimed to investigate the helping experiences of community members trained in Mental Health First Aid, understand the factors that might facilitate and deter helping behaviours, and develop a preliminary model that outlines the process of providing help to someone with a mental health problem. Community members who had received Mental Health First Aid training (n = 16) were recruited from an urban Australian university and completed an in-depth, semi-structured interview about their experiences of helping someone with a mental health problem. Data were analysed using thematic analysis. Member checking was used to assess the accuracy and transferability of the findings. The results suggested that several common elements were present in participants' narratives, including recognising a recipient in distress, considering reasons to intervene or not, choosing a course of action, and noting the outcomes of help. These themes were collated to form the main stages of a preliminary model of helping. The findings of this study highlight the many considerations involved in deciding whether and how to assist a person with a mental health problem, and the complex, dynamic nature of the helping process itself. The preliminary model of helping may be used to enhance the content of educational programs and public health messages.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 11%
Researcher 6 10%
Student > Ph. D. Student 6 10%
Student > Bachelor 6 10%
Student > Doctoral Student 3 5%
Other 8 13%
Unknown 25 41%
Readers by discipline Count As %
Psychology 17 28%
Nursing and Health Professions 7 11%
Social Sciences 3 5%
Medicine and Dentistry 3 5%
Business, Management and Accounting 1 2%
Other 4 7%
Unknown 26 43%
Attention Score in Context

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 28 August 2018.
All research outputs
#3,487,936
of 24,417,958 outputs
Outputs from International Journal of Mental Health Systems
#196
of 740 outputs
Outputs of similar age
#67,874
of 337,435 outputs
Outputs of similar age from International Journal of Mental Health Systems
#8
of 16 outputs
Altmetric has tracked 24,417,958 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 740 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 73% 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 337,435 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 79% of its contemporaries.
We're also able to compare this research output to 16 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 56% of its contemporaries.