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Analysis of social networks supporting the self-management of type 2 diabetes for people with mental illness

Overview of attention for article published in BMC Health Services Research, July 2015
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Title
Analysis of social networks supporting the self-management of type 2 diabetes for people with mental illness
Published in
BMC Health Services Research, July 2015
DOI 10.1186/s12913-015-0897-x
Pubmed ID
Authors

Mikaila M. Crotty, Julie Henderson, Paul R. Ward, Jeffrey Fuller, Anne Rogers, Debbie Kralik, Sue Gregory

Abstract

People with mental illness have been identified as being more likely to experience type 2 diabetes and the complications arising from this, necessitating more complex chronic illness self-management. Social support has been identified as a significant factor in the successful adoption of lifestyle change for people with type 2 diabetes, however people with mental illness often have impoverished social networks leading to greater reliance upon professional care givers. This study maps the support provided by formal (paid and professional carers) and informal networks to people with mental illness and type 2 diabetes, comparing the experiences of people with a spouse with those without one. Interviews were conducted with 29 clients of a community nursing service with mental health problems who receive professional support to self-manage type 2 diabetes. Participants were asked to complete an egocentric social network map which involved mapping the people and services who support them to manage their health. Demographic data was collected as was data about co-morbidities and service use within the last 6 months. Network maps were supplemented by a series of open-ended questions about self-management practices, who supports these practices and what support they provide. Participants identified small social networks with few friendship ties. These networks had diminished due to illness. For people with a spouse, this person provided significant support for chronic illness self-management performing a range of daily care and illness management tasks. People without a spouse were more reliant on professional and paid care givers for daily care and illness management. People without a spouse also demonstrated greater reliance upon weak social ties for emotional support and social connection and often developed friendships with formal caregivers. Spousal support reduces the need for professional services. In the absence of a spouse, participants were more reliant upon paid and professional carers and weaker social ties for chronic illness support and social connection leading to greater vulnerability of loss of support.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Unknown 140 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 14%
Researcher 18 13%
Student > Master 17 12%
Student > Bachelor 16 11%
Student > Doctoral Student 11 8%
Other 28 20%
Unknown 33 23%
Readers by discipline Count As %
Nursing and Health Professions 43 30%
Medicine and Dentistry 23 16%
Social Sciences 20 14%
Psychology 10 7%
Computer Science 3 2%
Other 11 8%
Unknown 33 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 July 2015.
All research outputs
#17,765,819
of 22,817,213 outputs
Outputs from BMC Health Services Research
#6,286
of 7,636 outputs
Outputs of similar age
#176,516
of 262,801 outputs
Outputs of similar age from BMC Health Services Research
#87
of 104 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,636 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 262,801 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.