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Developing a questionnaire to determine the impact of self-management in diabetes: giving people with diabetes a voice

Overview of attention for article published in Health and Quality of Life Outcomes, July 2017
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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22 X users
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1 Facebook page
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1 Google+ user
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1 Redditor

Citations

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19 Dimensions

Readers on

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182 Mendeley
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Title
Developing a questionnaire to determine the impact of self-management in diabetes: giving people with diabetes a voice
Published in
Health and Quality of Life Outcomes, July 2017
DOI 10.1186/s12955-017-0719-4
Pubmed ID
Authors

J. Carlton, J. Elliott, D. Rowen, K. Stevens, H. Basarir, K. Meadows, J. Brazier

Abstract

The prevalence of diabetes mellitus (DM) is increasing dramatically, placing considerable financial burden on the healthcare budget of each country. Patient self-management is crucial for the control of blood glucose, which largely determines the chances of developing diabetes-related complications. Self-management interventions vary widely, and a method is required for assessing the impact of self-management. This paper describes the development of a questionnaire intended for use to measure the impact of self-management in diabetes. An iterative development process was undertaken to identify the attributes of self-management using 5 steps. First, a literature review was undertaken to identify and understand themes relating to self-management of DM to inform a topic guide. Second, the topic guide was further refined following consultation with a Patient and Public Involvement group. Third, the topic guide was used to inform semi-structured interviews with patients with Type 1 DM (T1DM) and Type 2 DM (T2DM) to identify how self-management of DM affects individuals. Fourth, the research team considered potential attributes alongside health attributes from an existing measure (Diabetes Health Profile, DHP) to produce an instrument reflecting both health and self-management outcomes simultaneously. Finally, a draft instrument was tested in a focus group to determine the wording and acceptability. Semi-structured interviews were carried out with 32 patients with T1DM and T2DM. Eight potential attributes were identified: fear/worry/anxiety, guilt, stress, stigma, hassle, control, freedom, and feeling supported. Four of these self-management attributes were selected with four health attributes (mood, worry about hypos (hypoglycaemic episodes), vitality and social limitations) to produce the Health and Self-Management in Diabetes (HASMID(v1)) questionnaire. HASMID(v1) is a short questionnaire that contains eight items each with four response levels to measure the impact of self-management in diabetes for both T1DM and T2DM. The measure was developed using a mixed-methods approach that involved semi-structured interviews with people with diabetes. The measure has high face validity. Ongoing research is being undertaken to assess the validity of this questionnaire for measuring the impact of self-management interventions in economic evaluation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 182 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 12%
Student > Bachelor 20 11%
Student > Ph. D. Student 19 10%
Researcher 18 10%
Student > Postgraduate 10 5%
Other 32 18%
Unknown 61 34%
Readers by discipline Count As %
Nursing and Health Professions 39 21%
Medicine and Dentistry 27 15%
Psychology 13 7%
Social Sciences 9 5%
Business, Management and Accounting 8 4%
Other 20 11%
Unknown 66 36%
Attention Score in Context

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 29 November 2017.
All research outputs
#1,883,502
of 23,316,003 outputs
Outputs from Health and Quality of Life Outcomes
#99
of 2,196 outputs
Outputs of similar age
#38,439
of 315,710 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#3
of 57 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,196 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 95% 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 315,710 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 87% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.