↓ Skip to main content

Implementation of a self-management support approach (WISE) across a health system: a process evaluation explaining what did and did not work for organisations, clinicians and patients

Overview of attention for article published in Implementation Science, October 2014
Altmetric Badge

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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

policy
1 policy source
twitter
24 X users

Readers on

mendeley
168 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Implementation of a self-management support approach (WISE) across a health system: a process evaluation explaining what did and did not work for organisations, clinicians and patients
Published in
Implementation Science, October 2014
DOI 10.1186/s13012-014-0129-5
Pubmed ID
Authors

Anne Kennedy, Anne Rogers, Carolyn Chew-Graham, Thomas Blakeman, Robert Bowen, Caroline Gardner, Victoria Lee, Rebecca Morris, Joanne Protheroe

Abstract

Implementation of long-term condition management interventions rests on the notion of whole systems re-design, where incorporating wider elements of health care systems are integral to embedding effective and integrated solutions. However, most self-management support (SMS) evaluations still focus on particular elements or outcomes of a sub-system. A randomised controlled trial of a SMS intervention (WISE-Whole System Informing Self-management Engagement) implemented in primary care showed no effect on patient-level outcomes. This paper reports on a parallel process evaluation to ascertain influences affecting WISE implementation at patient, clinical and organisational levels. Normalisation Process Theory (NPT) provided a sensitising background and analytical framework.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Bangladesh 1 <1%
Canada 1 <1%
Unknown 163 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 17%
Student > Ph. D. Student 27 16%
Student > Master 27 16%
Other 15 9%
Student > Doctoral Student 8 5%
Other 29 17%
Unknown 33 20%
Readers by discipline Count As %
Medicine and Dentistry 42 25%
Social Sciences 20 12%
Nursing and Health Professions 20 12%
Psychology 17 10%
Business, Management and Accounting 7 4%
Other 21 13%
Unknown 41 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 October 2019.
All research outputs
#2,007,175
of 25,262,379 outputs
Outputs from Implementation Science
#395
of 1,795 outputs
Outputs of similar age
#22,331
of 267,010 outputs
Outputs of similar age from Implementation Science
#9
of 61 outputs
Altmetric has tracked 25,262,379 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 1,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 77% 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 267,010 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.