Urban/rural differences in preferences for EQ-5D-5L health states: a study of a multi-ethnic region in China

Liao, Meixia; Luo, Nan; Rand‐Hendriksen, Kim; Yang, Zhihao

doi:10.1007/s11136-023-03394-1

Cited by 2 publications

(3 citation statements)

References 35 publications

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“…This study identified an EQ-5D-5L utility score of 0.86 and an EQ-VAS score of 73.2 in the general Australian population. This was lower than some of the previously reported national utility scores, such as those reported by China (0.96) [38], Japan (0.96) [20], Italy (0.93) [19], Vietnam (0.91) [24] and Poland (0.89) [21]. Countries with similar utility scores included New Zealand (0.85) [34], Canada (0.82) [39], Slovenia (0.81) [40], Norway (0.81) [41] and Iran (0.79) [42].…”

Section: Discussioncontrasting

confidence: 72%

“…While this finding is challenging to compare to other countries—due to the differences in defining urban, regional, and rural populations—in general, this finding is consistent with previously reported literature. A recent study from China reported higher HRQoL in urban populations when compared to rural populations [ 38 ]. The same was found in Ireland, with people residing in urban areas experiencing better HRQoL when compared to people residing in rural areas [ 51 ], except for the dimension of anxiety and depression where people residing in urban areas exhibited greater anxiety and depression compared to people residing in rural areas [ 51 ].…”

Section: Discussionmentioning

confidence: 99%

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Australian population norms for health-related quality of life measured using the EQ-5D–5L, and relationships with sociodemographic characteristics

Redwood,

Currow,

Kochovska

et al. 2023

Qual Life Res

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Background Measuring health related quality-of-life (HRQoL) of the general population is essential to establish a reference for health outcome evaluations. This study sought to establish EQ-5D-5L population norms in Australia and to investigate the heterogeneity of HRQoL between sociodemographic variables. Methods A cross-sectional study comprising of a representative sample of Australia’s general population (n = 9958) aged 18 or older. Recruitment quotas were set for the Australian census population by age, sex, state/territory of residence and rurality. Participants were recruited by Qualtrics through its database of over 800,000 registered panel members and asked to value their own state of health using the EQ-5D-5L domains and the EuroQol-Visual Analogue Scale (EQ-VAS). An Australian value set developed using Discreet Choice Experiment was used to calculate utility scores. Results The estimated mean EQ-5D-5L index for Australia’s general population was 0.86 (standard deviation [SD] 0.19), and the EQ-VAS score was estimated as 73.2 (SD 21.7). 23.9% of the study population reported being in the best health state (11,111). Younger people, current smokers, people who are unemployed and people with more financial stress reported a lower EQ-5D-5L index score (p < 0.001). Residents in the major cities, inner regional and outer regional Australia reported higher health utility scores than those residing in remote and very remote Australia. Conclusions This is the first Australian study to apply the EQ-5D-5L in a nationally representative sample. The EQ-5D-5L Australian population norms obtained can be used as reference scores for future population health evaluations and comparisons. The findings facilitate a national reference for clinical, economic, and policy decision-making processes and provide a fuller understanding of the Australian population’s HRQoL.

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Section: Discussioncontrasting

confidence: 72%

Section: Discussionmentioning

confidence: 99%

Australian population norms for health-related quality of life measured using the EQ-5D–5L, and relationships with sociodemographic characteristics

Redwood,

Currow,

Kochovska

et al. 2023

Qual Life Res

View full text Add to dashboard Cite

show abstract

“…A large study investigated the association of diet quality, assessed by the AHEI, MEDAS, and DDS score, with health status (all-cause mortality, cardiovascular disease mortality or morbidity, cancer mortality or morbidity, type 2 diabetes, and neurodegenerative disease risk) (26). However, there are few studies on the relationship between quality of life and DQI in older people, especially in rural Chinese older people (27). In this study, three dietary index scores were selected to assess the quality of life of older people in rural China.…”

Section: Introductionmentioning

confidence: 99%

Relationship between three dietary indices and health-related quality of life among rural elderly in China: a cross-sectional study

Yang,

Liu,

Huang

et al. 2023

Front. Nutr.

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PurposeThis study aimed to explore the association between health-related quality of life (HRQOL) and diet quality using three evidence-based dietary indices among older people in rural China.MethodsThis cross-sectional study included 1,258 rural older people (mean age 72.32 years; 55.6% female). HRQOL was assessed using the European Five Dimension Health Scale (EQ-5D), and dietary intake was assessed using a Food Frequency Questionnaire. Three dietary scoring indices, including the Alternate Healthy Eating Index, Dietary Approaches to Stop Hypertension, and Dietary Diversity Score (DDS), were calculated to assess and analyze the relationship between these dietary indices and quality of life.ResultsThe EQ-5D score was 0.95 ± 0.10, and the EQ-Visual Analog Scale (VAS) score was 76.76 ± 14.44. All three groups with higher dietary indices had higher quality of life scores. After controlling for covariates in multivariate adjusted binary logistic regression analyzes, participants in the top tertile of DDS had higher quality of life scores than those in the bottom tertile. DDS was consistently associated with EQ-5D (Model 2: OR = 1.567, p = 0.001; Model3: OR = 1.351, p = 0.044) and EQ-VAS (Model 2: OR = 1.830, p < 0.001; Model 3: OR = 1.383, p = 0.047), significantly different from the other groups.ConclusionOlder people in rural China who adhere to various foods experience a better quality of healthy life.

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Urban/rural differences in preferences for EQ-5D-5L health states: a study of a multi-ethnic region in China

Cited by 2 publications

References 35 publications

Australian population norms for health-related quality of life measured using the EQ-5D–5L, and relationships with sociodemographic characteristics

Australian population norms for health-related quality of life measured using the EQ-5D–5L, and relationships with sociodemographic characteristics

Relationship between three dietary indices and health-related quality of life among rural elderly in China: a cross-sectional study

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