Deteriorating health status in Stockholm 1998–2002: results from repeated population surveys using the EQ-5D

Burström, Kristina; Johannesson, Magnus; Rehnberg, Clas

doi:10.1007/s11136-007-9243-z

Cited by 77 publications

(78 citation statements)

References 14 publications

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“…We believe the results of this study support that hypothesis and also help to confirm findings in cross-sectional studies that showed lower scores in older age groups of children and adolescents [6,7]. Some studies in adult populations have showed similar declines in population-level HRQoL over substantial periods [34,35]. Pubertal development, an aspect that has only infrequently been analyzed in studies of HRQoL in children and adolescents, was found to have a strong impact on followup scores.…”

Section: Discussionsupporting

confidence: 84%

Changes in health-related quality of life (HRQoL) in a population-based sample of children and adolescents after 3 years of follow-up

et al. 2008

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Section: Discussionsupporting

confidence: 84%

Changes in health-related quality of life (HRQoL) in a population-based sample of children and adolescents after 3 years of follow-up

et al. 2008

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“…8,10 We also found that the health status was lower in the elderly and female populations, which is similar to EQ-5D population health status studies in other countries. 10,13,[23][24][25] This study found housewives to have a lower quality of life than individuals with other occupations. This may be due to their low level of education, in most cases.…”

Section: Discussionmentioning

confidence: 69%

Inequalities in Health Status from EQ-5D Findings: A Cross-Sectional Study in Low-Income Communities of Bangladesh

Sultana

Sarker

Mahumud

et al. 2016

Int J Health Policy Manag

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Background: Measuring health status by using standardized and validated instrument has become a growing concern over the past few decades throughout the developed and developing countries. The aim of the study was to investigate the overall self-reported health status along with potential inequalities by using EuroQol 5 dimensions (EQ-5D) instrument among low-income people of Bangladesh. Methods: A cross-sectional household survey was conducted in Chandpur district of Bangladesh. Bangla version of the EQ-5D questionnaire was employed along with socio-demographic information. EQ-5D questionnaire composed of 2-part measurements: EQ-5D descriptive system and the visual analogue scale (VAS). For measuring health status, UK-based preference weights were applied while higher score indicated better health status. For facilitating the consistency with EQ-5D score, VASs were converted to a scale with scores ranging from 0 to 1. Multiple logistic regression models were also employed to examine differences among EQ-5D dimensions. Results: A total of 1433 respondents participated in the study. The mean EQ-5D and VAS score was 0.76 and 0.77, respectively. The females were more likely to report any problem than the males (P < 0.001). Compared to the younger, elderly were more than 2-3 times likely to report any health problem in all EQ-5D dimensions (OR [odds ratio] = 3.17 for mobility, OR = 3.24 for self-care). However, the respondents of the poorest income group were significantly suffered more from every EQ-5D dimension than the richest income quintile. Conclusion: Socio-economic and demographic inequalities in health status was observed in the study. Study suggests to do further investigation with country representative sample to measure the inequalities of overall health status. It would be helpful for policy-maker to find a new way aiming to reduce such inequalities. Keywords: Health Status, EQ-5D, Visual Analogue Scale (VAS), Inequality, Population Implications for policy makers • The findings of the study can help policy-makers to find out the related factors of socio-economic and demographic inequalities in health status.• It also can help policy-makers to find a new path way aiming to reduce such inequalities by making need-based supply side efficiency. Implications for publicStudy found that potential inequalities in health status exist among different socio-economic and demographic groups. Hence, factors affecting the health status should be assessed in order to improve the community health. Key MessagesBackground Bangladesh has made notable gains across a range of social and health indicators, and has further experienced enhanced economic growth over the last 3 decades. According to article 15a in the constitution of Bangladesh, advocacy for human rights is considered as a fundamental priority as health and education. Moreover, Bangladesh has authorized most international agreements and declarations like Alma-Ata Declaration, Millennium Development Goals (MDGs), etc.

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“…This pattern of HRQOL declining over time is consistent with findings from other investigators in the USA and abroad. [33][34][35][36] Understanding the deterioration of HRQOL in light of increasing life expectancy is crucial, given the aging of the population and the overarching goals of Healthy People. 10 A number of explanations have been provided for these findings, including an increased prevalence of obesity, increases in non-fatal conditions, and technological advances in medicine that offer lifesaving treatments for persons in poor health.…”

Section: Discussionmentioning

confidence: 99%

Health-Related Quality of Life, Quality-Adjusted Life Years, and Quality-Adjusted Life Expectancy in New York City from 1995 to 2006

Lubetkin

Jia

2009

J Urban Health

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We applied our previously developed estimation equation to predict EQ-5D index scores from the Centers for Disease Control and Prevention's Healthy Days measures for the New York City (NYC) adult population from 1995 to 2006 and compared these trends over time with the US general population. Such scores enabled us to examine the burden of disease attributable to smoking and overweight/obesity at both the local and national levels. We employed the estimation equation to the 1993-2007 Behavioral Risk Factor Surveillance System (BRFSS) data to obtain EQ-5D index scores for all survey respondents based on their age, self-rated health status, and overall number of unhealthy days. With the combination of mortality data, we calculated trends of quality-adjusted life years (QALYs), life expectancy (LE), and quality-adjusted life expectancy (QALE) as well as the percent of QALYs and QALE lost contributed by smoking and overweight/obesity. Mean EQ-5D index scores for NYC adults decreased from 0.874 to 0.852 but, more recently, have increased to 0.869. The LE of an 18-year-old living in NYC increased 4.7 years and QALE increased 2.6 years. The contribution of smoking to the proportion of QALYs lost decreased from 6.7% to 3.5%, while the contribution of overweight/obesity to the proportion of QALYs lost increased from 4.5% to 16.9%. The proportion of QALEs lost due to smoking decreased from 5.5% to 4.5%, while the proportion of QALEs lost due to overweight/obesity increased from 3.5% to 11.8%. Because the Healthy Days measures have been included in the BRFSS since 1993, translating Healthy Days Measures to a preference-based measure is a useful method for longitudinal tracking of population health at the local, state, and national level.

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Deteriorating health status in Stockholm 1998–2002: results from repeated population surveys using the EQ-5D

Abstract: The observed deterioration in health status over time gives reason for concern. Investigation of reasons for the declining health status should be a research priority.

Cited by 77 publications

References 14 publications

Changes in health-related quality of life (HRQoL) in a population-based sample of children and adolescents after 3 years of follow-up

Changes in health-related quality of life (HRQoL) in a population-based sample of children and adolescents after 3 years of follow-up

Inequalities in Health Status from EQ-5D Findings: A Cross-Sectional Study in Low-Income Communities of Bangladesh

Health-Related Quality of Life, Quality-Adjusted Life Years, and Quality-Adjusted Life Expectancy in New York City from 1995 to 2006

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