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How is disease severity associated with quality of life in psoriasis patients? Evidence from a longitudinal population-based study in Sweden

Overview of attention for article published in Health and Quality of Life Outcomes, July 2017
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2 X users
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1 Facebook page
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1 Redditor

Citations

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17 Dimensions

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37 Mendeley
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Title
How is disease severity associated with quality of life in psoriasis patients? Evidence from a longitudinal population-based study in Sweden
Published in
Health and Quality of Life Outcomes, July 2017
DOI 10.1186/s12955-017-0721-x
Pubmed ID
Authors

Kirk Geale, Martin Henriksson, Marcus Schmitt-Egenolf

Abstract

Assessing the impact of disease severity on generic quality of life (QOL) is a critical step in outcomes research and in the development of decision-analytic models structured around health states defined by clinical measures. While data from routine clinical practice found in healthcare registers are increasingly used for research, more attention should be paid to understanding the relationship between clinical measures of disease severity and QOL. The purpose of this work was therefore to investigate this relationship in psoriasis using a population-based dataset. Severity was measured by the Psoriasis Area and Severity Index (PASI), which combines severity of erythema, induration, and desquamation into a single value ranging from 0 to 72. The generic EQ-5D-3L utility instrument, under the UK tariff, was used to measure QOL. The association between PASI and EQ-5D-3L was estimated using a population-based dataset of 2674 patients with moderate to severe psoriasis enrolled over ten years in the Swedish psoriasis register (PsoReg). Given the repeated measurement of patients in the register data, a longitudinal fixed-effects model was employed to control for unobserved patient-level heterogeneity. Marginal changes in PASI are associated with a non-linear response in EQ-5D-3L: Moving from PASI 10 to 9 (1 to 0) is associated with an increase of 0.0135 (0.0174) in EQ-5D-3L. Furthermore, unobserved patient-level heterogeneity appears to be an important source of confounding when estimating the relationship between QOL and PASI. Using register data to estimate the impact of disease severity on QOL while controlling for unobserved patient-level heterogeneity shows that PASI appears to have a larger impact on QOL than previously estimated. Routine collection of generic QOL data in registers should be encouraged to enable similar applications in other disease areas. Not applicable.

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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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Student > Ph. D. Student 6 16%
Researcher 5 14%
Student > Bachelor 3 8%
Student > Postgraduate 2 5%
Other 3 8%
Unknown 12 32%
Readers by discipline Count As %
Medicine and Dentistry 7 19%
Economics, Econometrics and Finance 4 11%
Psychology 4 11%
Nursing and Health Professions 3 8%
Agricultural and Biological Sciences 2 5%
Other 4 11%
Unknown 13 35%
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 22 December 2020.
All research outputs
#14,076,260
of 22,994,508 outputs
Outputs from Health and Quality of Life Outcomes
#1,131
of 2,186 outputs
Outputs of similar age
#169,903
of 316,684 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#18
of 54 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
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 is in the 46th percentile – i.e., 46% 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 316,684 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 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.