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Quality of life profile of general Vietnamese population using EQ-5D-5L

Overview of attention for article published in Health and Quality of Life Outcomes, October 2017
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Title
Quality of life profile of general Vietnamese population using EQ-5D-5L
Published in
Health and Quality of Life Outcomes, October 2017
DOI 10.1186/s12955-017-0771-0
Pubmed ID
Authors

Long Hoang Nguyen, Bach Xuan Tran, Quynh Ngoc Hoang Le, Tung Thanh Tran, Carl A. Latkin

Abstract

Health-related quality of life (HRQOL) is a vital benchmark to assess the effects of health interventions and policies. Measuring HRQOL of the general population is essential to establish a reference for health outcomes evaluations. However, evidence on HRQOL of general populations in low and middle income countries is very limited. This study aimed to measure HRQOL of the Vietnamese population by using the EuroQol-5 dimensions-5 levels (EQ-5D-5L) instrument and determine its associated factors. A cross-sectional study was performed in Hanoi with 1571 residences in Hanoi, the capital city of Vietnam. EQ-5D-5L and EQ- visual analogue scale (EQ-VAS) were used to assess HRQOL. Potential covariates included socio-demographic characteristics, having acute symptoms in the last four weeks, chronic diseases in the last three months, having multiple health issues, and health service utilisation in the last twelve months. A generalized linear model was employed to identify the association between HRQOL and covariates. Overall, the mean EQ-5D utility index was 0.91 (SD = 0.15), and the mean EQ-VAS score was 87.4 (SD = 14.3). The highest proportion of respondents reporting any problems was in Usual activities (24.3%), followed by Anxiety/Depression (15.2%) and Pain/Discomfort (10.0%), while the lowest percentage was in Self-care (2.5%). Lower HRQOL composite scores were related to unemployment, lower income, higher education, living in urban areas, having chronic diseases, having multiple health issues and using health service. For any health problem self-reported by respondents, the health utility reduced by 0.02 (respiratory diseases) to 0.15 (musculoskeletal diseases). Health utility of the general population and reductions for self-reported health problems in this study are useful for future population health evaluations and comparisons. It also informs the development of interventions to reduce health problems of the general population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 145 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 14%
Student > Ph. D. Student 14 10%
Researcher 11 8%
Student > Bachelor 8 6%
Student > Doctoral Student 7 5%
Other 19 13%
Unknown 65 45%
Readers by discipline Count As %
Medicine and Dentistry 19 13%
Nursing and Health Professions 15 10%
Psychology 9 6%
Agricultural and Biological Sciences 5 3%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 18 12%
Unknown 74 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 October 2017.
All research outputs
#17,917,778
of 23,005,189 outputs
Outputs from Health and Quality of Life Outcomes
#1,512
of 2,186 outputs
Outputs of similar age
#232,325
of 324,711 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#37
of 60 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 21st percentile – i.e., 21% 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 324,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.