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Assessing the feasibility of a web-based domestic violence intervention using chronic disease frameworks: reducing the burden of ‘treatment’ and promoting capacity for action in women abused by a…

Overview of attention for article published in BMC Women's Health, November 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
12 X users

Citations

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9 Dimensions

Readers on

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127 Mendeley
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Title
Assessing the feasibility of a web-based domestic violence intervention using chronic disease frameworks: reducing the burden of ‘treatment’ and promoting capacity for action in women abused by a partner
Published in
BMC Women's Health, November 2016
DOI 10.1186/s12905-016-0352-0
Pubmed ID
Authors

Laura Tarzia, Carl May, Kelsey Hegarty

Abstract

Domestic violence shares many features with chronic disease, including ongoing physical and mental health problems and eroded self-efficacy. Given the challenges around help-seeking for women experiencing domestic violence, it is essential that they be given support to 'self-manage' their condition. The growing popularity of web-based applications for chronic disease self-management suggests that there may be opportunities to use them as an intervention strategy for women experiencing domestic violence, however, as yet, little is known about whether this might work in practice. It is critical that interventions for domestic violence-whether web-based or otherwise-promote agency and capacity for action rather than adding to the 'workload' of already stressed and vulnerable women. Although randomised controlled trials are vital to determine the effectiveness of interventions, robust theoretical frameworks can complement them as a way of examining the feasibility of implementing an intervention in practice. To date, no such frameworks have been developed for the domestic violence context. Consequently, in this paper we propose that it may be useful to appraise interventions for domestic violence using frameworks developed to help understand the barriers and facilitators around self-management of chronic conditions. Using a case study of an online healthy relationship tool and safety decision aid developed in Australia (I-DECIDE), this paper adapts and applies two theories: Burden of Treatment Theory and Normalisation Process Theory, to assess whether the intervention might increase women's agency and capacity for action. In doing this, it proposes a new theoretical model with which the practical application of domestic violence interventions could be appraised in conjunction with other evaluation frameworks. This paper argues that theoretical frameworks for chronic disease are appropriate to assess the feasibility of implementing interventions for domestic violence in practice. The use of the modified Burden of Treatment/Normalisation Process Theory framework developed in this paper strengthens the case for I-DECIDE and other web-based applications as a way of supporting women experiencing domestic violence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 17%
Student > Ph. D. Student 14 11%
Student > Bachelor 13 10%
Researcher 10 8%
Student > Doctoral Student 7 6%
Other 15 12%
Unknown 47 37%
Readers by discipline Count As %
Psychology 19 15%
Nursing and Health Professions 15 12%
Social Sciences 14 11%
Medicine and Dentistry 14 11%
Computer Science 6 5%
Other 11 9%
Unknown 48 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 30 March 2021.
All research outputs
#2,335,001
of 23,881,329 outputs
Outputs from BMC Women's Health
#224
of 2,007 outputs
Outputs of similar age
#47,045
of 420,137 outputs
Outputs of similar age from BMC Women's Health
#2
of 6 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,007 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 89% 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 420,137 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 88% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.