Literature DB >> 33308242

Applying SF-6D to measure health state utilities among the middle and old aged patients with hypertension in China.

Xiaohan Liu1,2, Guannan Bai3, Hui Li4,5, Shunping Li6,7,8.   

Abstract

PURPOSE: Hypertension is a growing public health problem in China; however, little is known about health-related quality of life (HRQoL) especially health state utility (HSU) of patients with hypertension in rural China. This study aimed to examine the HSU as measured by SF-6D and to investigate its associated factors among middle and old aged patients with hypertension in rural China.
METHODS: Data were collected from twelve villages in Shandong Province in 2016. SF-36 was administrated to measure HRQoL of middle and old aged patients with hypertension and was got to the SF-6D values using Hong Kong's tariff. Descriptive analyses, such as demographic characteristics, socio-economic status, and utility, were stratified by hypertension classification. Multiple linear regression models were applied to assess the associated factors of HSU.
RESULTS: A total of 933 (response rate:86.4%) middle and old aged patients (69.1 ± 8.2 years) with hypertension participated in the study. 39.4% of participants were male; 44.2% had stage I hypertension; 26.4% had stage II and above. The mean score of SF-6D utility score was 0.743 (SD: 0.14, range: 0.32-1.00, median: 0.756, Interquartile range:0.634-0.859). Being female (β = -0.046), having two or more comorbidities (2 vs. 1 β = -0.066; > 3 vs. 1 β = -0.098) and the health expenditure higher than 2000 RMB (2000-3999 vs.< 2000 β = -0.042; 4000-5999 vs. < 2000 β = -0.046; > 6000 vs. < 2000 β = -0.071) were significantly associated with lower SF-6D overall score; while being farmer (β = 0.032), having high household income (10,000-14,999 vs. < 5000 β = 0.045; > 15,000 vs. < 5000 β = 0.064) and having stage I and above hypertension (stage I vs. Normotensive β = 0.047; stage II vs. Normotensive β = 0.079; stage III vs. Normotensive β = 0.095) were significantly associated with higher SF-6D overall score.
CONCLUSION: SF-6D was capable to measure quality of life middle and old aged patients with hypertension in China. And multiple factors were demonstrated to be significantly associated with quality of life.

Entities:  

Keywords:  Health utility; Hypertension; Preference-based measurement; Quality of life; SF-6D

Year:  2020        PMID: 33308242     DOI: 10.1186/s12955-020-01598-4

Source DB:  PubMed          Journal:  Health Qual Life Outcomes        ISSN: 1477-7525            Impact factor:   3.186


  25 in total

1.  A cross-sectional assessment of health-related quality of life (HRQoL) among hypertensive patients in Pakistan.

Authors:  Fahad Saleem; Mohamed Azmi Hassali; Asrul Akmal Shafie
Journal:  Health Expect       Date:  2012-03-06       Impact factor: 3.377

2.  Impact of hypertension-related comorbidity on health-related quality of life: a population-based survey in South Korea.

Authors:  Myung Hee Lee; Eun Sun So
Journal:  Asia Pac J Public Health       Date:  2011-12-20       Impact factor: 1.399

3.  Validation and psychometric properties of Chinese version of SF-36 in patients with hypertension, coronary heart diseases, chronic gastritis and peptic ulcer.

Authors:  Z Yang; W Li; X Tu; W Tang; S Messing; L Duan; J Pan; X Li; C Wan
Journal:  Int J Clin Pract       Date:  2012-10       Impact factor: 2.503

4.  Impact of hypertension on health-related quality of life in a population-based study in Shanghai, China.

Authors:  R Wang; Y Zhao; X He; X Ma; X Yan; Y Sun; W Liu; Z Gu; J Zhao; J He
Journal:  Public Health       Date:  2009-08-07       Impact factor: 2.427

5.  The impact of co-morbid conditions on the SF-36: a primary-care-based study among hypertensives.

Authors:  Omer Aydemir; Cenk Ozdemir; Ertugrul Koroglu
Journal:  Arch Med Res       Date:  2005 Mar-Apr       Impact factor: 2.235

6.  Prevalence, awareness, treatment, and control of hypertension in rural China: results from Shandong Province.

Authors:  Hui Li; Qingyue Meng; Xiaoyun Sun; Amy Salter; Nancy E Briggs; Janet E Hiller
Journal:  J Hypertens       Date:  2010-03       Impact factor: 4.844

7.  Cost-utility analysis.

Authors:  R Robinson
Journal:  BMJ       Date:  1993-10-02

8.  The influence of hypertension on quality of life.

Authors:  Maria Virgínia de Carvalho; Liza Batista Siqueira; Ana Luiza Lima Sousa; Paulo César Brandão Veiga Jardim
Journal:  Arq Bras Cardiol       Date:  2013-02       Impact factor: 2.000

9.  Impact of hypertension on health-related quality of life among different age subgroups in Shanghai: the subpopulation treatment effect pattern plot analysis.

Authors:  Yingyi Qin; Yibin Guo; Yuanjun Tang; Cheng Wu; Xinji Zhang; Qian He; Yanfang Zhao; Jia He
Journal:  J Hum Hypertens       Date:  2018-08-06       Impact factor: 3.012

10.  Relationship between menopause and health-related quality of life in middle-aged Chinese women: a cross-sectional study.

Authors:  Kuo Liu; Liu He; Xun Tang; Jinwei Wang; Na Li; Yiqun Wu; Roger Marshall; Jingrong Li; Zongxin Zhang; Jianjiang Liu; Haitao Xu; Liping Yu; Yonghua Hu
Journal:  BMC Womens Health       Date:  2014-01-10       Impact factor: 2.809

View more
  1 in total

1.  Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study.

Authors:  Shu Zhang; Xin Fu; Zhi Du; Xiaofan Guo; Zhao Li; Guozhe Sun; Ying Zhou; Hongmei Yang; Shasha Yu; Liqiang Zheng; Yingxian Sun; Xingang Zhang
Journal:  BMC Cardiovasc Disord       Date:  2022-05-11       Impact factor: 2.174

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.