scholarly journals Quality of life in chronic disease patients

2013 ◽  
Vol 1 (3) ◽  
pp. 27 ◽  
Author(s):  
Kalliopi Megari

<p>During the past decades there was an increasing predominance of chronic disorders, with a large number of people living with chronic diseases that can adversely affect their quality of life. The aim of the present paper is to study quality of life and especially Health-related quality of life (HRQoL) in chronic diseases. HRQOL is a multidimensional construct that consists of at least three broad domains &minus; physical, psychological, and social functioning &minus; that are affected by one&rsquo;s disease and/or treatment. HRQoL is usually measured in chronic conditions and is frequently impaired to a great extent. In addition, factors that are associated with good and poor HRQoL, as well as HRQoL assessment will be discussed. The estimation of the relative impact of chronic diseases on HRQoL is necessary in order to better plan and distribute health care resources aiming at a better HRQoL.</p><p>[&laquo;<em>All the people perceive the concept of living good or being well, that is the same as being happy</em>&raquo;. (Aristotle. 384-322 BC. Ethica Nichomachea)]</p>

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Ali Akbari Sari ◽  
Fereshteh Karimi ◽  
Zahra Emrani ◽  
Hojjat Zeraati ◽  
Alireza Olyaeemanesh ◽  
...  

Abstract 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 0.85 ± 0.14 and 76.73 ± 16.55 in the participants without any chronic conditions. The scores were 0.69 ± 0.17 and 61.14 ± 20.61 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.


2018 ◽  
Vol 55 (9) ◽  
pp. 1244-1257 ◽  
Author(s):  
Ana Paula Corrêa de Queiroz Herkrath ◽  
Fernando José Herkrath ◽  
Maria Augusta Bessa Rebelo ◽  
Mario Vianna Vettore

Objectives: To investigate the structural and intermediary determinants of health-related quality of life (HRQoL) and oral health–related quality of life (OHRQoL) among adults with cleft lip and/or palate (CL/P). Design and Participants: A cross-sectional study was conducted with patients enrolled at the referral center for craniofacial anomalies in Manaus, Brazil. Adults aged 18 years or more with nonsyndromic CL/P were selected. Main Outcome Measures: Both HRQoL and OHRQoL were assessed using the 36-item Short-Form Health Survey and the Oral Impacts on Daily Performance, respectively. Individual interviews and oral examinations were conducted to collect data on socioeconomic and demographic characteristics, social ties, health-related behaviors, compliance of CL/P protocol, chronic diseases, type of CL/P, oral clinical measures, and CL/P-related measures. Poisson regression was used to test the association of independent variables with HRQoL and OHRQoL outcomes. Results: The mean age of the 96 participants was 29.4 ± 9.1 years. Low family income, female sex, low social support, type of CL/P, and dental caries were associated with poor HRQoL and poor OHRQoL ( P < .05). Poor HRQoL was also associated with chronic diseases ( P < .05). Adults with low education, low social network, and smokers were more likely to have worse OHRQoL ( P < .05). Conclusions: Structural and intermediary determinants were related to HRQoL and OHRQoL in adults with CL/P, suggesting the need for interdisciplinary approaches to improve the management of CL/P and intersectoral actions to reduce the impact of social inequalities.


2020 ◽  
Author(s):  
Ali Akbari Sari ◽  
Fereshte Karimi ◽  
Zahra Emrani ◽  
Hojjat Zeraati ◽  
Alireza Olyaeemanesh ◽  
...  

Abstract 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.


2004 ◽  
Vol 4 ◽  
pp. 746-757 ◽  
Author(s):  
Frank Mo ◽  
Bernard C.K. Choi ◽  
Felix C.K. Li ◽  
Joav Merrick

Quality of life is an important indicator in assessing the burden of disease, especially for chronic conditions. The Health Utilities Index (HUI) is a recently developed system for measuring the overall health status and health-related quality of life (HRQL) of individuals, clinical groups, and general populations. Using the HUI (constructed based on eight attributes: vision, hearing, speech, mobility, dexterity, cognition, emotion, and pain/discomfort) to measure the HRQL for chronic disease patients and to detect possible associations between HUI system and various chronic conditions, this study provides information to improve the management of chronic diseases.This study is of interest to data analysts, policy makers, and public health practitioners involved in descriptive clinical studies, clinical trials, program evaluation, population health planning, and assessments. Based on the Canadian Community Health Survey (CCHS) for 2000–01, the HUI was used to measure the quality of life for individuals living with various chronic conditions (Alzheimer/other dementia, effects of stroke, urinary incontinence, arthritis/rheumatism, bowel disorder, cataracts, back problems, stomach/intestinal ulcers, emphysema/COPD, chronic bronchitis, epilepsy, heart disease, diabetes, migraine headaches, glaucoma, asthma, fibromyalgia, cancers, high blood pressure, multiple sclerosis, thyroid condition, and other remaining chronic diseases). Logistic Regression Model was employed to estimate the associations between the overall HUI scores and various chronic conditions. The HUI scores ranged from 0.00 (corresponding to a state close to death) to 1.00 (corresponding to perfect health); negative scores reflect health states considered worse than death. The mean HUI score by sex and age group indicated the typical quality of life for persons with various chronic conditions. Logistic Regression results showed a strong relationship between low HUI scores (≤ 0.5 and 0.06–1.0) and certain chronic conditions. Age- and sex-adjusted Odds Ratio (OR) andpvalues showed an effect among individuals diagnosed with each chronic disease on the overall HUI score. Results of this study showed that arthritis/rheumatism, heart disease, high blood pressure, cataracts, and diabetes had a severe impact on HRQL. Urinary incontinence, Alzheimer/other dementia, effects of stroke, cancers, thyroid condition, and back problems have a moderate impact. Food allergy, allergy other than food, asthma, migraine headaches, and other remaining chronic diseases have a relatively mild effect. It is concluded that major chronic diseases with significant health burden were associated with poor HRQL. The HUI scores facilitate the measurement and interpretation of results of health burden and the HRQL for individuals with chronic diseases and can be useful for development of strategies for the prevention and control of chronic diseases.


Medicina ◽  
2020 ◽  
Vol 57 (1) ◽  
pp. 4
Author(s):  
I Re Heo ◽  
Ho Cheol Kim ◽  
Tae Hoon Kim

Background and Objectives: preserved ratio impaired spirometry (PRISm) is a common spirometric pattern that causes respiratory symptoms, systemic inflammation, and mortality. However, its impact on health-related quality of life (HRQOL) and its associated factors remain unclear. We aimed to identify these HRQOL-related factors and investigate the differences in HROOL between persons with PRISm and those with normal lung function. Materials and Methods: we reviewed the Korea National Health and Nutrition Examination Survey data from 2008 to 2013 to evaluate the HRQOL of persons with PRISm, as measured while using the Euro Quality of Life-5D (EQ-5D) and identify any influencing factors. PRISm was defined as pre-bronchodilator forced expiratory volume in 1 s (FEV1) <80% predicted and FEV1 to forced vital capacity (FVC) ratio (FEV1/FVC) ≥0.7. Individuals with FEV1 ≥80% predicted and FEV1/FVC ≥0.7 were considered as Controls. Results: of the 27,824 participants over the age of 40 years, 1875 had PRISm. The age- and sex-adjusted EQ-5D index was lower in the PRISm group than in the control group (PRISm, 0.930; control, 0.941; p = 0.005). The participants with PRISm showed a significantly higher prevalence of hypertension (p < 0.001), diabetes (p < 0.001), obesity (p < 0.001), low physical activity (p = 0.001), ever-smoker (p < 0.001), and low income (p = 0.034) than those in the control group. In participants with PRISm, lower EQ-5D index scores were independently associated with old age (p = 0.002), low income (p < 0.001), low education level (p < 0.001), and no economic activity (p < 0.001). Three out of five EQ-5D dimensions (mobility, self-care, and usual activity) indicated a higher proportion of dissatisfied participants in the PRISm group than the control group. Conclusions: the participants with PRISm were identified to have poor HRQOL when compared to those without PRISm. Old age and low socioeconomic status play important roles in HRQOL deterioration in patients with PRISm. By analyzing risk factors that are associated with poor HRQOL, early detection and intervention of PRISm can be done in order to preserve patients’ quality of life.


2021 ◽  
pp. 1-24
Author(s):  
Daniela Viramontes-Hörner ◽  
Zoe Pittman ◽  
Nicholas M Selby ◽  
Maarten W Taal

Abstract Health-related quality of life (HRQoL) is severely impaired in persons receiving dialysis. Malnutrition has been associated with some measures of poor HRQoL in cross-sectional analyses in dialysis populations, but no studies have assessed the impact of malnutrition and dietary intake on change in multiple measures of HRQoL over time. We investigated the most important determinants of poor HRQoL and the predictors of change in HRQoL over time using several measures of HRQoL. We enrolled 119 haemodialysis and 31 peritoneal dialysis patients in this prospective study. Nutritional assessments (Subjective Global Assessment [SGA], anthropometry and 24-hour dietary recalls) and HRQoL questionnaires (Short Form-36 [SF-36] mental [MCS] and physical component scores [PCS] and European QoL-5 Dimensions [EQ5D] health state [HSS] and visual analogue scores [VAS]) were performed at baseline, 6 and 12 months. Mean age was 64(14) years. Malnutrition was present in 37% of the population. At baseline, malnutrition assessed by SGA was the only factor independently (and negatively) associated with all four measures of HRQoL. No single factor was independently associated with decrease in all measures of HRQoL over 1 year. However, prevalence/development of malnutrition over one year was an independent predictor of 1-year decrease in EQ5D HSS and 1-year decrease in fat intake independently predicted the 1-year decline in SF-36 MCS and PCS, and EQ5D VAS. These findings strengthen the importance of monitoring for malnutrition and providing nutritional advice to all persons on dialysis. Future studies are needed to evaluate the impact of nutritional interventions on HRQoL and other long-term outcomes.


Author(s):  
Lisa Van Wilder ◽  
Brecht Devleesschauwer ◽  
Els Clays ◽  
Stefanie De Buyser ◽  
Johan Van der Heyden ◽  
...  

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.


2010 ◽  
Vol 156 (4) ◽  
pp. 639-644 ◽  
Author(s):  
Lisa M. Ingerski ◽  
Avani C. Modi ◽  
Korey K. Hood ◽  
Ahna L. Pai ◽  
Meg Zeller ◽  
...  

2020 ◽  
Vol 23 ◽  
pp. S617
Author(s):  
M. Jebabli ◽  
H. Felfel ◽  
C. Drira ◽  
A. Kooli ◽  
M. Razgallah Khrouf

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