Health-related quality of life measured using the EQ-5D–5 L: population norms for the capital of Iran

Emrani, Zahra; Sari, Ali Akbari; Zeraati, Hojjat; Olyaeemanesh, Alireza; Daroudi, Rajabali

doi:10.1186/s12955-020-01365-5

Cited by 48 publications

(50 citation statements)

References 29 publications

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“…Although we did not nd a signi cant relationship between gender and utility score, some studies in Portugal and Iran have reported a signi cant relationship between women and a low utility score [22,28]. However, Ping et al [5] and Vu et al [29] did not nd a signi cant relationship between utility score and gender.…”

Section: Discussioncontrasting

confidence: 88%

“…The mean of the EQ-5D Index of participants was obtained to be 0.80. This result is almost similar to the score (0.79) of the general population of Iran (using the Cross Walk method) before the Covid-19 pandemic [22]. And it was lower than the score reported in studies conducted before the Covid-19 pandemic in South Australia of 0.91 [23], Germany 0.92 [24], Poland 0.89 [25], Uruguay 0.95 [26], Italy 0.92 [27], and studies conducted during the Covid-19 epidemic in China 0.949 [5], Portugal 0.86 [28] and Vietnam 0.95 [29].…”

Section: Discussionsupporting

confidence: 83%

“…However, before the Covid-19 period and using the same tool and in the general population of Iran, this statistic included 10.82, 1.27, 4.03, 34.41, and 33.37 percent, respectively [20]. A review of the literature also reveals that the most complaints were in the dimensions of P/D and A/D [5,20,22,28], though in the study of Saarni et al [37] as well as König et al [38], the most problems were reported in the dimensions of P/D and MO. A remarkable point in our study is that in all age groups, more than half of the participants reported the problem of 'reporting any problem' in the A/D dimension.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of Health-related Quality of Life in Iranian General Population during the COVID-19 Pandemic. A cross sectional study

Shiri

Karami

Sari

et al. 2021

Preprint

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Purpose One of the most important questions is how the COVID-19 epidemic affects health-related quality of life (HRQOL) in the general population. This study aims to know about the impact of the COVID-19 epidemic on the HRQOL in the general population in Iran.MethodsAn online survey was developed and participants were recruited via social media (What’s up, Telegram) from Fars province residences from 3th to the 20th of November 2020. Data of this cross-sectional study were collected by a researcher-made demographic, EuroQol-5 Dimension (EQ-5D), and Visual Analog Scale (VAS) questionnaires. The multivariate logistic regression model and CLAD Regression was used for the five health dimensions, and the factors associated with the EQ-5D Index were investigated. Results The mean EQ-5D Index and EQ-VAS of the respondents were 0.80 and 77.53, respectively. The most frequently reported problems were pain/discomfort (P/D) (44.17%) and anxiety/depression (A/D) (53.69%). Logistic regression models showed that the risk of P/D among old people, who were worried about getting COVID-19, and the risk of A/D among people with male, having hypertension and asthma diseases, unemployment, having insurance, and worry about getting COVID-19 were significantly high. The results of CLAD regression indicated that low income (very low and low income), having hypertension, and having asthma were inversely associated with the EQ-5D Index score. Data collection through an online questionnaire could be prone to selection bias. ConclusionAccording to the results, the mental health of people, especially those with chronic diseases and low-income must be considered during epidemics or other emergencies.

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Section: Discussioncontrasting

confidence: 88%

Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 99%

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Evaluation of Health-related Quality of Life in Iranian General Population during the COVID-19 Pandemic. A cross sectional study

Shiri

Karami

Sari

et al. 2021

Preprint

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“…The EQ-VAS reference data can often yield a table of mean(s)/median(s) EQ-VAS scores by age-sex groups, while the mean(s)/median(s) EQ-5D-5L indexes were derived from the national value set for the EQ-5D-5L indexes reference data [20]. The population norms using the EQ-5D-5L were developed globally, from Western countries [21][22][23][24][25][26][27][28][29][30] to Asian countries [31][32][33][34][35][36][37]. A hint of population norms using the EQ-5D-5L for the Vietnamese has been done elsewhere, but the study included an urban population only, and furthermore, used Thai preferences [37].…”

Section: Introductionmentioning

confidence: 99%

Reference Data and Known-Groups Validity of the EQ-5D-5L for Vietnam

Quynh¹,

Giang²,

Minh³

et al. 2021

Preprint

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PurposeThis study aims to provide EQ-5D-5L reference data of the general Vietnamese population and to test the EQ-5D-5L’ known-groups validity among people living with hypertension in Vietnam.MethodsThe EQ-5D-5L population norms were obtained via a representative sample from a general population of 1200 adults. Outcomes of the population norms were presented through five dimensions and five levels, EQ-VAS, and EQ-5D-5L indexes. Descriptive statistics of these outcomes were categorised by gender and age groups. Evidence of the known-groups validity was based on a sample of 577 non-hypertensive adults, 242 individuals with undiagnosed and 477 individuals with diagnosed hypertension. A hypothesis was formulated that people with worse health status would have lower EQ-VAS and EQ-5D-5L indexes. ResultsFor the EQ-5D-5L population norms, 54.4% of the respondents reported having full health. The mean EQ-VAS and EQ-5D-5L indexes were 81.10 and 0.94, respectively. The EQ-VAS and EQ-5D-5L indexes were higher among males, people at younger ages, those with more education, a paid job, and single. The mean EQ-VAS and EQ-5D-5L indexes of people in the diagnosed hypertension group were statistically significantly lower than they were in the other two groups. ConclusionThe EQ-5D-5L population norms were derived for the Vietnamese general population. The EQ-5D-5L can distinguish the quality-of-life differences among Vietnamese with hypertension.

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“…There are several instruments for measuring HRQoL. Some are disease-speci c (e.g., St George's asthma quality of life scale, NEWQOL-6D, EORTC QOL-30), while some are generic (e.g., EQ-5D, SF-6D, WHOQOL) [14].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Common Chronic Conditions on Health-Related Quality of Life: A General Population Survey in Iran Using EQ-5D-5L

Sari

Karimi

Emrani

et al. 2020

Preprint

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Background:Diseases have undeniable effects on Health-Related Quality of Life (HRQoL). Chronic diseases, in particular, limit the productive potentials and HRQoL of individuals. EQ-5D is a very popular generic instrument, which can be used to estimate HRQoL scores in any diseases. The current study investigates mean HRQoL scores in certain chronic diseases and examines the relationship between utility scores and chronic diseases in Iran. Method:This cross-sectional study was carried out among the general adult population of Tehran. 3060 individuals were chosen by a stratified probability sampling method. The EQ-5D-5L questionnaire was applied. The utility scores were estimated using the Iranian crosswalk-based value set. The effect of chronic diseases on the HRQoL scores was derived by the Ordinary Least Squares (OLS) method. Data was analyzed using Stata version 13 software.Results:The mean ± standard deviation utility and EQ-VAS scores were 0.86 ±0.14 and 77.50 ±16.14 in the participants without any chronic conditions. The scores were 0.69 ±0.17 and 61.61 ±20.39 in the participants with chronic conditions. The highest and lowest mean utility scores were related to thyroid disease (0.70) and Stroke (0.54), respectively. Common chronic conditions had significant negative effects on the HRQoL scores. Stroke (0.204) and cancer (0.177) caused the most reduction in the EQ-5D-5L utility scores. Lumbar disc hernia, digestive diseases, osteoarthritis, breathing problems, and anxiety/nerves cause 0.133, 0.109, 0.108, 0.087, and 0.078 reductions, respectively, in the EQ-5D-5L utility scores.Conclusion:This study provides insight into some common chronic conditions and their effects on the HRQoL. Policymakers and planners should pay attention to the effects of chronic conditions especially high prevalence one. They should adopt effective interventions to control this issue and increase health. The results of this study can also be beneficial in economic evaluation studies.

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Health-related quality of life measured using the EQ-5D–5 L: population norms for the capital of Iran

Cited by 48 publications

References 29 publications

Evaluation of Health-related Quality of Life in Iranian General Population during the COVID-19 Pandemic. A cross sectional study

Evaluation of Health-related Quality of Life in Iranian General Population during the COVID-19 Pandemic. A cross sectional study

Reference Data and Known-Groups Validity of the EQ-5D-5L for Vietnam

The Impact of Common Chronic Conditions on Health-Related Quality of Life: A General Population Survey in Iran Using EQ-5D-5L

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