↓ Skip to main content

Characteristics of a self-management support programme applicable in primary health care: a qualitative study of users’ and health professionals’ perceptions

Overview of attention for article published in BMC Health Services Research, November 2014
Altmetric Badge

Mentioned by

twitter
2 X users

Readers on

mendeley
34 Mendeley
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
Characteristics of a self-management support programme applicable in primary health care: a qualitative study of users’ and health professionals’ perceptions
Published in
BMC Health Services Research, November 2014
DOI 10.1186/s12913-014-0562-9
Pubmed ID
Authors

Hilde Strøm Solberg, Aslak Steinsbekk, Marit Solbjør, Randi Granbo, Helge Garåsen

Abstract

BackgroundDevelopment of more self-management support programmes in primary health care has been one option used to enhance positive outcomes in chronic disease management. At present, research results provide no consensus on what would be the best way to develop support programmes into new settings. The aim of the present study was therefore to explore users¿ and health professionals¿ perceptions of what would be the vital elements in a self - management support programme applicable in primary health care, how to account for them, and why.MethodsFour qualitative, semi-structured focus group interviews were conducted in Central Norway. The informants possessed experience in development, provision, or participation in a self-management support programme. Data was analysed by the Systematic Text Condensation method.ResultsThe results showed an overall positive expectation to the potential benefits of development of a self-management support programme in primary health care. Despite somewhat different arguments and perspectives, the users and the health professionals had a joint agreement on core characteristics; a self-management support programme in primary health care should therefore be generic, not disease specific, and delivered in a group- based format. A special focus should be on the everyday- life of the participants. The most challenging aspect was a present lack of competence and experience among health professionals to moderate self-management support programmes.ConclusionsThe development and design of a relevant and applicable self-management support programme in primary health care should balance the interests of the users with the possibilities and constraints within each municipality. It would be vital to benefit from the closeness of the patients¿ every-day life situations. The user informants¿ perception of a self-management support programme as a supplement to regular medical treatment represented an expanded understanding of the self-management support concept. An exploring approach should be applied in the development of the health professionals¿ competence in practice. The effect of a self-management support programme based on the core characteristics found in this study needs to be evaluated.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Researcher 5 15%
Student > Ph. D. Student 5 15%
Student > Bachelor 4 12%
Other 3 9%
Other 6 18%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 11 32%
Nursing and Health Professions 6 18%
Business, Management and Accounting 2 6%
Computer Science 2 6%
Psychology 2 6%
Other 6 18%
Unknown 5 15%
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 22 December 2014.
All research outputs
#19,303,935
of 24,577,646 outputs
Outputs from BMC Health Services Research
#6,913
of 8,310 outputs
Outputs of similar age
#183,365
of 268,652 outputs
Outputs of similar age from BMC Health Services Research
#133
of 155 outputs
Altmetric has tracked 24,577,646 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,310 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 14th percentile – i.e., 14% 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 268,652 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.