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The impact of influenza on the health related quality of life in China: an EQ-5D survey

Overview of attention for article published in BMC Infectious Diseases, October 2017
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2 X users

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109 Mendeley
Title
The impact of influenza on the health related quality of life in China: an EQ-5D survey
Published in
BMC Infectious Diseases, October 2017
DOI 10.1186/s12879-017-2801-2
Pubmed ID
Authors

Juan Yang, Mark Jit, Yaming Zheng, Luzhao Feng, Xinxin Liu, Joseph T. Wu, Hongjie Yu

Abstract

Influenza causes considerable morbidity and mortality in China, but its impact on the health-related quality of life (HRQoL) has not been previously measured. We conducted a retrospective telephone survey to assess the impact of influenza on the HRQoL among outpatients and inpatients using the EuroQoL EQ-5D-3 L instrument. Participants were individuals with laboratory-confirmed influenza infection registered by the National Influenza-like-illness Surveillance Network in 2013. We interviewed 839 of 11,098 eligible influenza patients. After excluding those who were unable to complete the HRQoL for the registered influenza episode, 778 patients were included in the analysis. Both outpatients (n = 529) and inpatients (n = 249) most commonly reported problems with pain/discomfort (71.8% of outpatients and 71.9% of inpatients) and anxiety/depression (62.0% of outpatients and 75.1% of inpatients). For individual influenza outpatients, the mean health utility was 0.6142 (SD 0.2006), and the average quality adjusted life days (QALD) loss was 1.62 (SD 1.84) days. The HRQoL of influenza inpatients was worse (mean health utility 0.5851, SD 0.2197; mean QALD loss 3.51 days, SD 4.25) than that of outpatients (p < 0.05). The presence of underlying medical conditions lowered the HRQoL for both outpatients and inpatients (p < 0.05). Influenza illness had a substantial impact on HRQoL. QALD loss due to an acute influenza episode in younger children was comparable to that due to enterovirus A71-associated hand, foot and mouth disease. Our findings are key inputs into disease burden estimates and cost-effectiveness evaluations of influenza-related interventions in China.

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

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 13%
Student > Ph. D. Student 12 11%
Researcher 8 7%
Student > Bachelor 7 6%
Other 7 6%
Other 13 12%
Unknown 48 44%
Readers by discipline Count As %
Medicine and Dentistry 12 11%
Nursing and Health Professions 10 9%
Economics, Econometrics and Finance 5 5%
Agricultural and Biological Sciences 4 4%
Psychology 4 4%
Other 19 17%
Unknown 55 50%
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 August 2023.
All research outputs
#15,335,633
of 24,311,255 outputs
Outputs from BMC Infectious Diseases
#4,079
of 8,132 outputs
Outputs of similar age
#185,708
of 329,811 outputs
Outputs of similar age from BMC Infectious Diseases
#70
of 124 outputs
Altmetric has tracked 24,311,255 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 329,811 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 124 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.