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Factors influencing health-related quality of life in patients with Type 1 diabetes

Overview of attention for article published in Health and Quality of Life Outcomes, February 2018
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
2 blogs
policy
1 policy source
twitter
17 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

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16 Dimensions

Readers on

mendeley
103 Mendeley
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Title
Factors influencing health-related quality of life in patients with Type 1 diabetes
Published in
Health and Quality of Life Outcomes, February 2018
DOI 10.1186/s12955-018-0848-4
Pubmed ID
Authors

A. J. N. Raymakers, P. Gillespie, M. C. O’Hara, M. D. Griffin, S. F. Dinneen

Abstract

Generic, preference-based measures of health-related quality of life (HRQoL) are a common input to the economic evaluation of new health technologies. As such, it is important to explore what characteristics of patients with Type 1 diabetes might impact scores on such measures. This study utilizes baseline data from a cluster-randomized trial that recruited patients with Type 1 diabetes at six centers across Ireland. Health-related quality of life was assessed using the three-level EuroQol EQ-5D (EQ-5D) measure. Patients' responses to individual dimensions of the EQ-5D were explored. To see which patient factors influenced EQ-5D scores, multivariate regression analysis was conducted with EQ-5D scores as the outcome variable. Data was available for 437 Type 1 diabetes patients. The median age of these patients was 40 (IQR: 31-49) years and 53.8% were female. Overall, patients reported a high HRQoL based on EQ-5D scores (0.87 (SD: 0.19). Fifty-four percent of patients reported a perfect HRQoL. For those that reported problems, the most common dimension was the anxiety/depression dimension of the EQ-5D (29.6%). In the multivariate regression analysis, self-reported mental illness (- 0.22 (95% CI: -0.34, - 0.10)) and being unemployed (- 0.07 (95% CI: -0.13, - 0.02)) were negatively associated with EQ-5D scores (p < 0.05). The influence of self-reported mental illness was persistent in sensitivity analyses. The study results indicate that patients with Type 1 diabetes report a high HRQoL based on responses to the EQ-5D. However, there are a substantial number of Type 1 diabetes patients that report problems in the anxiety/depression dimension, which may provide avenues to improve patients' HRQoL. Current Controlled Trials ISRCTN79759174 .

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 15%
Student > Bachelor 12 12%
Student > Ph. D. Student 7 7%
Researcher 6 6%
Student > Doctoral Student 4 4%
Other 13 13%
Unknown 46 45%
Readers by discipline Count As %
Nursing and Health Professions 18 17%
Medicine and Dentistry 13 13%
Psychology 9 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Business, Management and Accounting 3 3%
Other 7 7%
Unknown 49 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 05 July 2019.
All research outputs
#1,224,061
of 23,020,670 outputs
Outputs from Health and Quality of Life Outcomes
#54
of 2,186 outputs
Outputs of similar age
#31,671
of 439,370 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#2
of 59 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 439,370 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 92% of its contemporaries.
We're also able to compare this research output to 59 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.