| Title |
The quality of life in Chinese population with chronic non-communicable diseases according to EQ-5D-3L: a systematic review
|
|---|---|
| Published in |
Quality of Life Research, July 2018
|
| DOI | 10.1007/s11136-018-1928-y |
| Pubmed ID | |
| Authors |
Ting Zhou, Haijing Guan, Jiaqi Yao, Xiaomo Xiong, Aixia Ma |
| Abstract |
Over the past decade, a changing spectrum of disease has turned chronic non-communicable diseases (CNCDs) into the leading cause of death worldwide. During the 2015 in China, there were more than 6.6 million deaths from NCDs, which was the highest rate around the world. In the present study, we performed a systematic review to analyze the health-related quality of life (HRQoL) according to EQ-5D-3L instrument in patients with different kinds of CNCDs in China. We searched PubMed, Embase, Web of Science, Cochrane Library, VIP, WanFang Data, and CNKI databases up to April 12, 2018, to identify all relevant studies that reported on HRQoL assessed by EQ-5D-3L instrument in Chinese patients with CNCDs. Expert consultation and hand-searching of reference lists from retrieved studies were employed to identify additional references. The variation of mean utility values, EQ-VAS score ranges, and responses for each EQ-5D dimension described in relevant studies were extracted. A total of 5027 English-language articles and 618 Chinese-language articles were identified, among which 38 articles met full inclusion criteria. These 38 studies involved 18 kinds of CNCDs. In this review, the health utility for diabetes mellitus ranged from 0.79 to 0.94 (EQ-5D VAS scores from 61.5 to 78.6), hypertension from 0.78 to 0.93 (70.1-77.4), coronary heart disease from 0.75 to 0.90 (71.0-77.0), chronic obstructive pulmonary disease from 0.64 to 0.80 (55.0-67.0), epilepsy from 0.83 to 0.87 (78.3-79.6), cerebral infarction from 0.51 to 0.75 (49.7-79.0), while children cerebral palsy was 0.44 (27.3). EQ-5D-3L is widely used in studies of HRQoL associated with CNCDs in China. Our results suggest that many factors may influence the measurement results of health utilities, including age, gender, sample source, comorbidities, rural/urban, and EQ-5D-3L value sets. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 60% |
| United States | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
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 % |
|---|---|---|
| Researcher | 14 | 13% |
| Student > Bachelor | 11 | 10% |
| Student > Ph. D. Student | 10 | 9% |
| Student > Master | 10 | 9% |
| Student > Doctoral Student | 8 | 7% |
| Other | 17 | 16% |
| Unknown | 39 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 26% |
| Nursing and Health Professions | 13 | 12% |
| Psychology | 6 | 6% |
| Unspecified | 3 | 3% |
| Sports and Recreations | 2 | 2% |
| Other | 12 | 11% |
| Unknown | 45 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 October 2018.
All research outputs
#13,104,474
of 23,094,276 outputs
Outputs from Quality of Life Research
#1,291
of 2,922 outputs
Outputs of similar age
#158,911
of 327,716 outputs
Outputs of similar age from Quality of Life Research
#38
of 79 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,922 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 54% of its peers.
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We're also able to compare this research output to 79 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 51% of its contemporaries.