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Quality of life utility values for hereditary haemochromatosis in Australia

Overview of attention for article published in Health and Quality of Life Outcomes, February 2016
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Title
Quality of life utility values for hereditary haemochromatosis in Australia
Published in
Health and Quality of Life Outcomes, February 2016
DOI 10.1186/s12955-016-0431-9
Pubmed ID
Authors

Barbara de Graaff, Amanda Neil, Kristy Sanderson, Kwang Chien Yee, Andrew J. Palmer

Abstract

Hereditary hemochromatosis (HH) is a common autosomal recessive disorder amongst persons of northern European heritage. If untreated, iron accumulates in parenchymal tissues causing morbidity and mortality. As diagnosis often follows irreversible organ damage, screening programs have been suggested to increase early diagnosis. A lack of economic evidence has been cited as a barrier to establishing such a program. Previous analyses used poorly estimated utility values. This study sought to measure utilities directly from people with HH in Australia. Volunteers with HH were recruited to complete a web-based survey. Utility was assessed using the Assessment of Quality of Life 4D (AQOL-4D) instrument. Severity of HH was graded into four categories. Multivariable regression analysis was performed to identify parameters associated with HSUV. Between November 2013 and November 2014, 221 people completed the survey. Increasing severity of HH was negatively associated with utility. Mean (standard deviation) utilities were 0.76 (0.21), 0.81 (0.18), 0.60 (0.27), and 0.50 (0.27) for categories 1-4 HH respectively. Lower mean utility was found for symptomatic participants (categories 3 and 4) compared with asymptomatic participants (0.583 v. 0.796). Self-reported HH-related symptoms were negatively associated with HSUV (r = -0.685). Symptomatic stages of HH and presence of multiple self-reported symptoms were associated with decreasing utility. Previous economic analyses have used higher utilities which likely resulted in underestimates of the cost effectiveness of HH interventions. The utilities reported in this paper are the most robust available, and will contribute to improving the validity of future economic models for HH.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Student > Bachelor 5 17%
Researcher 4 13%
Student > Ph. D. Student 4 13%
Lecturer > Senior Lecturer 2 7%
Other 4 13%
Unknown 6 20%
Readers by discipline Count As %
Medicine and Dentistry 8 27%
Biochemistry, Genetics and Molecular Biology 5 17%
Agricultural and Biological Sciences 3 10%
Social Sciences 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 7%
Unknown 9 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 March 2016.
All research outputs
#14,839,922
of 22,852,911 outputs
Outputs from Health and Quality of Life Outcomes
#1,225
of 2,159 outputs
Outputs of similar age
#166,901
of 297,594 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#12
of 40 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 39th percentile – i.e., 39% 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 297,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.