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Implementing a social network intervention designed to enhance and diversify support for people with long-term conditions. A qualitative study

Overview of attention for article published in Implementation Science, January 2016
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
27 tweeters
facebook
1 Facebook page

Citations

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41 Dimensions

Readers on

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159 Mendeley
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Title
Implementing a social network intervention designed to enhance and diversify support for people with long-term conditions. A qualitative study
Published in
Implementation Science, January 2016
DOI 10.1186/s13012-016-0384-8
Pubmed ID
Authors

Anne Kennedy, Ivaylo Vassilev, Elizabeth James, Anne Rogers, Kennedy, Anne, Vassilev, Ivaylo, James, Elizabeth, Rogers, Anne

Abstract

For people with long-term conditions, social networks provide a potentially central means of mobilising, mediating and accessing support for health and well-being. Few interventions address the implementation of improving engagement with and through social networks. This paper describes the development and implementation of a web-based tool which comprises: network mapping, user-centred preference elicitation and need assessment and facilitated engagement with resources. The study aimed to determine whether the intervention was acceptable, implementable and acted to enhance support and to add to theory concerning social networks and engagement with resources and activities. A longitudinal design with 15 case studies used ethnographic methods comprising video, non-participant observation of intervention delivery and qualitative interviews (baseline, 6 and 12 months). Participants were people with type 2 diabetes living in a marginalised island community. Facilitators were local health trainers and care navigators. Analysis applied concepts concerning implementation of technology for self-management support to explain how new practices of work were operationalised and how the technology impacted on relationships fit with everyday life and allowed for visual feedback. Most participants reported identifying and taking up new activities as a result of using the tool. Thematic analysis suggested that workability of the tool was predicated on disruption and reconstruction of networks, challenging/supportive facilitation and change and reflection over time concerning network support. Visualisation of the network enabled people to mobilise support and engage in new activities. The tool aligned synergistically with the facilitators' role of linking people to local resources. The social network tool works through a process of initiating positive disruption of established self-management practice through mapping and reflection on personal network membership and support. This opens up possibilities for reconstructing self-management differently from current practice. Key facets of successful implementation were: the visual maps of networks and support options; facilitation characterised by a perceived lack of status difference which assisted engagement and constructive discussion of support and preferences for activities; and background work (a reliable database, tailored preferences, option reduction) for facilitator and user ease of use.

Twitter Demographics

The data shown below were collected from the profiles of 27 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 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Unknown 158 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 19%
Student > Master 26 16%
Student > Ph. D. Student 23 14%
Student > Bachelor 12 8%
Student > Doctoral Student 9 6%
Other 30 19%
Unknown 29 18%
Readers by discipline Count As %
Social Sciences 34 21%
Medicine and Dentistry 27 17%
Nursing and Health Professions 23 14%
Psychology 16 10%
Business, Management and Accounting 4 3%
Other 21 13%
Unknown 34 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 24 April 2018.
All research outputs
#1,479,809
of 18,787,703 outputs
Outputs from Implementation Science
#376
of 1,624 outputs
Outputs of similar age
#28,550
of 273,867 outputs
Outputs of similar age from Implementation Science
#6
of 15 outputs
Altmetric has tracked 18,787,703 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,624 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 76% 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 273,867 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 89% of its contemporaries.
We're also able to compare this research output to 15 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 66% of its contemporaries.