Health-related quality of life and utility scores of patients with breast neoplasms in China: A multicenter cross-sectional survey

Objective To evaluate health-related quality of life (HRQoL) of middle-aged and elderly people with hypertension in Enshi, China, and to explore the important correlates defining HRQoL. Methods From April through July 2018, a self-monitoring intervention program for hypertension control was implemented in a remote area of central China. Participants completed a cross-sectional survey which included demographic characteristics, the Health-related Quality of Life Survey, and the Pittsburgh Sleep Quality Index Survey. Univariate analysis was performed by analysis of variance, and multiple linear regression analysis was used to analyze the influencing factors of HRQoL in middle-aged and elderly hypertensive patients. In the multivariate analysis, the variables with P≤0.05 in the single factor analysis were combined with the professional significance to establish a multiple linear regression model. Results Information from 500 participants was available for analysis. Among them, the scores of PCS and MCS was 31.66 ± 9.50 and 41.38 ± 10.69, respectively. Multivariable regression analyses showed that higher education and sleep quality, and moderate physical activity (30 minutes for at least five days a week) had a positive influence on PCS scores. Higher monthly family income (3,000–5,000 ¥) and sleep quality, regular tea-drinking, having 30 minutes of moderate physical activity at least five days a week were positively associated with MCS scores. Conclusion The overall HRQoL for rural middle-aged and elderly hypertensive patients in Xuan’en county of Hubei province was poor. Effective relevant measures for the above factors were urgently needed to improve the quality of life for the elderly in rural areas. Awareness of these relevant factors could help health care professionals provide better supportive care.

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Assessing health-related quality of life and health utilities in patients with chronic hepatitis B-related diseases in China: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2020-047475 ◽

2021 ◽

Vol 11 (9) ◽

pp. e047475

Author(s):

Meng Zhang ◽

Yaoguang Li ◽

Zihao Fan ◽

Dongqi Shen ◽

Xueying Huang ◽

...

Keyword(s):

Quality Of Life ◽

Chronic Hepatitis ◽

Hepatitis B ◽

Chronic Hepatitis B ◽

Health Related Quality ◽

Cross Sectional ◽

Related Quality ◽

Health Related ◽

Utility Scores

ObjectivesThe health-related quality of life (HRQoL) and utilities of patients with chronic hepatitis B (CHB) virus infection, including compensated cirrhosis (CC), decompensated cirrhosis (DC) and different stages of hepatocellular carcinoma (HCC), have not been well described in China. This study aimed to evaluate HRQoL and utilities and provide parameters for the economic evaluation of CHB-related diseases.MethodsWe conducted a multicentre cross-sectional and study to measure the HRQoL of patients with CHB, CC, DC and HCC using the Chinese short form (SF) 36 health survey V.2. The utilities were extracted based on the SF-six dimension scoring model. Multivariable regression analyses identified the effects on HRQoL.ResultsA total of 1071 patients (639 with CHB, 125 with CC, 85 with DC and 222 with HCC) were invited to complete the questionnaire. Physical HRQoL was not impaired in the CHB stage, while mental HRQoL was significantly impaired. Physical composite summary scores have a more significant decrease than mental composite summary scores at the advanced stages (CC, DC and HCC). The utility scores of CHB only, CC, DC and HCC were 0.773, 0.750, 0.683 and 0.640, respectively. The utility scores in the early, middle and terminal stages of HCC were 0.656, 0.635 and 0.615, respectively.ConclusionSlowing the progress of CHB-related diseases and providing psychological support early are the key points to improving the quality of life with the diseases. The utility values estimated in this study can provide a vital instrument for cost-effectiveness studies on CHB-related diseases.

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Social Determinants of Health-Related Quality of Life among Residents in Zhejiang and Qinghai, China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16081314 ◽

2019 ◽

Vol 16 (8) ◽

pp. 1314 ◽

Cited By ~ 1

Author(s):

Yuxuan Gu ◽

Hao Zhang ◽

Shahmir H. Ali ◽

Minzhuo Huang ◽

Jingming Wei ◽

...

Keyword(s):

Quality Of Life ◽

Health Disparities ◽

Social Determinants ◽

Vulnerable Groups ◽

Health Related Quality ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Related Quality ◽

Health Related

Social determinants are closely related to health and play a significant role in shaping the quality of life of a population. This study aimed to explore the differences in HRQoL (health-related quality of life) scores of residents in the eastern province of Zhejiang and the western province of Qinghai and probe factors affecting the HRQoL among the two populations. A sample of 4210 residents from a cross-sectional survey was included in the analysis. The EQ-5D-3L instrument was used to measure the HRQoL of residents. A Chi-square test and a t-test were used to examine the differences between different variables and analysis of variance (ANOVA) with interaction effects was used to analyze factors associated with the HRQoL between the two provinces. Residents’ EQ-5D index score (EQ VAS score) was 0.963 (82.71) and 0.962 (81.51), respectively, in Zhejiang and Qinghai. Generally, residents in Qinghai displayed significantly worse HRQoL scores than those in Zhejiang. The differences between the two regions lay on mobility, pain/discomfort, and anxiety/depressions. In both regions, an increased education level and being employed were most strongly associated with a positive HRQoL; increased age and presence of chronic diseases were most strongly associated with a negative HRQoL. When formulating health policies, the significant health disparities between western and eastern provinces must be given greater consideration. The health of vulnerable groups should be particularly focused on to improve the observed health disparities.

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