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Modelling self-management pathways for people with diabetes in primary care

Overview of attention for article published in BMC Primary Care, September 2015
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

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6 X users

Citations

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12 Dimensions

Readers on

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28 Mendeley
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Title
Modelling self-management pathways for people with diabetes in primary care
Published in
BMC Primary Care, September 2015
DOI 10.1186/s12875-015-0325-7
Pubmed ID
Authors

Marion L. Penn, Anne P. Kennedy, Ivaylo I. Vassilev, Carolyn A. Chew-Graham, Joanne Protheroe, Anne Rogers, Tom Monks

Abstract

Self-management support to facilitate people with type 2 diabetes to effectively manage their condition is complex to implement. Organisational and system elements operating in relation to providing optimal self-management support in primary care are poorly understood. We have applied operational research techniques to model pathways in primary care to explore and illuminate the processes and points where people struggle to find self-management support. Primary care clinicians and support staff in 21 NHS general practices created maps to represent their experience of patients' progress through the system following diagnosis. These were collated into a combined pathway. Following consideration of how patients reduce dependency on the system to become enhanced self-managers, a model was created to show the influences on patients' pathways to self-management. Following establishment of diagnosis and treatment, appointment frequency decreases and patient self-management is expected to increase. However, capacity to consistently assess self-management capabilities; provide self-management support; or enhance patient-led self-care activities is missing from the pathways. Appointment frequencies are orientated to bio-medical monitoring rather than increasing the ability to mobilise resources or undertake self-management activities. The model provides a clear visual picture of the complexities implicated in achieving optimal self-management support. Self-management is quickly hidden from view in a system orientated to treatment delivery rather than to enhancing patient self-management. The model created highlights the limited self-management support currently provided and illuminates points where service change might impact on providing support for self-management. Ensuring professionals are aware of locally available support and people's existing network support has potential to provide appropriate and timely direction to community facilities and the mobilisation of resources.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 11%
Student > Doctoral Student 3 11%
Lecturer 3 11%
Student > Master 3 11%
Other 2 7%
Other 6 21%
Unknown 8 29%
Readers by discipline Count As %
Nursing and Health Professions 8 29%
Medicine and Dentistry 3 11%
Biochemistry, Genetics and Molecular Biology 1 4%
Mathematics 1 4%
Business, Management and Accounting 1 4%
Other 5 18%
Unknown 9 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 September 2015.
All research outputs
#8,185,440
of 25,371,288 outputs
Outputs from BMC Primary Care
#1,068
of 2,359 outputs
Outputs of similar age
#89,959
of 277,043 outputs
Outputs of similar age from BMC Primary Care
#28
of 54 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 53% 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 277,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.