| Title |
Health state utility values measured using the EuroQol 5-dimensions questionnaire in adults with chronic hepatitis C: a systematic literature review and meta-analysis
|
|---|---|
| Published in |
Quality of Life Research, September 2018
|
| DOI | 10.1007/s11136-018-1992-3 |
| Pubmed ID | |
| Authors |
A. M. Buchanan-Hughes, M. Buti, K. Hanman, B. Langford, M. Wright, L. A. Eddowes |
| Abstract |
Chronic hepatitis C infection and its treatment can considerably affect patients' health-related quality-of-life (HRQoL). This study aimed to identify and summarise the current evidence base for health state utility values (HSUVs) in patients with chronic hepatitis C infection, generated using the EuroQol 5-dimensions (EQ-5D) questionnaire. MEDLINE, Embase, the Cochrane Library and EconLit were searched from database inception through 31 August 2017. Eligible studies reported HSUVs elicited using the EQ-5D questionnaire in adults with chronic hepatitis C infection. Study quality and risk of bias were assessed. Of 1480 records identified, 26 studies were included. The most commonly defined health states described different stages of chronic hepatitis C infection and specific liver-related disease states, including METAVIR score, compensated and decompensated cirrhosis, hepatocellular carcinoma and liver transplantation. Patients with higher METAVIR scores tended to have lower EQ-5D scores compared to patients with lower METAVIR scores. Patients that achieved sustained virologic responses tended to have higher EQ-5D scores compared to those that did not. A meta-analysis conducted on three studies confirmed that patients with decompensated cirrhosis have significantly lower HSUVs than patients with compensated cirrhosis [mean difference - 0.11 (95% CI - 0.19 to - 0.04)], implying worse HRQoL. However, there was not sufficient evidence to compare how different treatments for chronic hepatitis C infection affect EQ-5D scores. This study provides a summary of EQ-5D HSUVs for patients with chronic hepatitis C infection, and demonstrates that clinically important disease stages associated with treatment decisions are associated with differences in HRQoL. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 21% |
| Researcher | 7 | 18% |
| Student > Doctoral Student | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 26% |
| Psychology | 4 | 11% |
| Agricultural and Biological Sciences | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 12 | 32% |
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 19 September 2018.
All research outputs
#17,990,045
of 23,103,436 outputs
Outputs from Quality of Life Research
#1,969
of 2,923 outputs
Outputs of similar age
#244,726
of 341,518 outputs
Outputs of similar age from Quality of Life Research
#47
of 78 outputs
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