scholarly journals Do Drug Accessibility and OOP Burden Affect Health-Related Quality of Life of Patients With Chronic Diseases? — EQ-5D-5L Evaluation Evidence From Five Districts in China

2021 ◽  
Vol 9 ◽  
Author(s):  
Shaoliang Tang ◽  
Ying Gong ◽  
Meixian Liu ◽  
Duoer Yang ◽  
Kean Tang
Keyword(s):  
Quality Of Life ◽  
Chronic Diseases ◽  
Influencing Factors ◽  
Health Related Quality ◽  
Tobit Regression ◽  
Positive Effects ◽  
Related Quality ◽  
Health Related ◽  
Drug Accessibility

Purpose: The dependence of patients with chronic diseases on drugs may affect their health-related quality of life (HRQoL). This study aims to assess the relationship between the direct economic burden caused by out-of-pocket (OOP) payments, drug accessibility, sociodemographic characteristics, and health-related quality of life.Methods: 1,055 patients with chronic diseases from Gansu, Hebei, Sichuan, Zhejiang, and Tianjin were investigated. Data collection included basic conditions and economic and health insurance conditions of patients with chronic diseases. The CLAD and Tobit regression models were used to analyze and compare the health-related quality of life and influencing factors of patients with chronic diseases in five districts. Differentiated analysis was conducted through sub-sample regression to explore the variable health effects of patients with single and multiple diseases.Results: A total of 1,055 patients with chronic diseases participated in the study, 54.4% of whom were women. The overall average utility score was 0.727, of which Sichuan Province was the highest with 0.751. Participants reported the highest proportion of pain/discomfort problems, while patients reported the least problems with self-care. The improvement of drug accessibility and the reduction of the burden of out-of-pocket expenses have significant positive effects on HRQoL. Various sociodemographic factors such as age and gender also have significant impact on HRQoL of patients with chronic diseases. HRQoL of patients with multiple chronic diseases is more affected by various influencing factors than that of patients with single disease.Conclusion: In order to improve the quality of life of patients with chronic diseases, it is of great importance to ensure the accessibility of drugs and reduce patients' medication burden. Future focus should shift from preventing and controlling chronic diseases as individual diseases to meeting the comprehensive health needs of people suffering from multiple diseases.

Health-related quality of life and its influencing factors in individuals with high cardiovascular disease risk: a cross-sectional study based on EQ-5D utility scores in Inner Mongolia, China

2021 ◽  
Author(s):  
Ning Cao ◽  
Yunfeng Xi ◽  
Yumin Gao ◽  
Hailing Li ◽  
Yanchao Liu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
High Risk ◽  
Influencing Factors ◽  
Inner Mongolia ◽  
Health Related Quality ◽  
Tobit Regression ◽  
Cvd Risk ◽  
Related Quality ◽  
Health Related

Abstract Background The high risk of cardiovascular disease (CVD) being associated with impaired Health-related quality of life (HRQoL). However, few studies have assessed the HRQoL of individuals with a high risk of CVD in Inner Mongolia, or even in China. We aimed to assess health-related quality of life (HRQoL) among individuals in Inner Mongolia with a high risk of CVD and its risk factors, to provide a reference to improve HRQoL in individuals with high CVD risk. Methods From 2015 to 2017, residents of six villages or communities in Inner Mongolia, selected using a multi-stage stratified cluster random sampling method, were invited to complete a questionnaire and undergo physical examination and laboratory testing. We selected participants whose predicted 10-year risk for CVD exceeded 10% as those with high CVD risk. HRQoL in individuals with high CVD risk was investigated based on the EuroQol-5 Dimension (EQ-5D) scale. The Chinese utility value integral system was used to calculate EQ-5D utility scores, and the Tobit regression model were used to analyze the influencing factors of HRQoL among individuals with high CVD risk. Results Of 13,359 participants with high CVD risk, 65.63% reported no problems in any of the five dimensions; the most frequently reported difficulty was pain/discomfort. The mean utility score was 1.000 (0.869, 1.000). Tobit regression analysis showed that sex, age, education level, residence area, household income, physical activity, hypertension, and dyslipidemia were influencing factors of HRQoL. Conclusion We found that female sex, older age, living in an urban area, lower education level, lower household income, and lower physical activity levels were associated with reduced HRQoL. People with a high risk of CVD should maintain their blood glucose and lipid levels within the normal range.

scholarly journals The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey

2021 ◽  
Author(s):  
Lisa Van Wilder ◽  
Brecht Devleesschauwer ◽  
Els Clays ◽  
Stefanie De Buyser ◽  
Johan Van der Heyden ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Chronic Diseases ◽  
Disease Burden ◽  
Health Related Quality ◽  
Health Interview Survey ◽  
Related Quality ◽  
Health Related ◽  
Interview Survey ◽  
The Impact

Abstract Background Chronic diseases and multimorbidity are a major cause of disease burden—for patients, caregivers, and society. Little is known however about potential interaction effects between specific disease combinations. Besides an additive effect, the presence of multiple conditions could also act synergistically or antagonistically regarding the impact on patients’ health-related quality of life (HRQoL). The aim was to estimate the impact of coexisting chronic diseases on HRQoL of the adult general Belgian population. Methods The Belgian Health Interview Survey 2018 provided data on self-reported chronic conditions and HRQoL (EQ-5D-5L) for a nationally representative sample. Linear mixed models were used to analyze two-way and three-way interactions of disease combinations on HRQoL. Results Multimorbidity had a prevalence of 46.7% (≥ 2 conditions) and 29.7% (≥ 3 conditions). HRQoL decreased considerably with the presence of multiple chronic diseases. 14 out of 41 dyad combinations and 5 out of 13 triad combinations showed significant interactions, with a dominant presence of negative/synergistic effects. Positive/antagonistic effects were found in more subjective chronic diseases such as depression and chronic fatigue. Conditions appearing the most frequently in significant disease pair interactions were dorsopathies, respiratory diseases, and arthropathies. Conclusions Diverse multimorbidity patterns, both dyads and triads, were synergistically or antagonistically associated with lower HRQoL. Tackling the burden of multimorbidity is needed, especially because most disease combinations affect each other synergistically, resulting in a greater reduction in HRQoL. Further knowledge about those multimorbidity patterns with a greater impact on HRQoL is needed to better understand disease burden beyond mortality and morbidity data.

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