The Impact of 29 Chronic Conditions on Health-related Quality of Life: A General Population Survey in Finland Using 15D and EQ-5D

Saarni, Samuli I.; Härkänen, Tommi; Sintonen, Harri; Suvisaari, Jaana; Koskinen, Seppo; Aromaa, Arpo; Lönnqvist, Jouko

doi:10.1007/s11136-006-0020-1

Cited by 352 publications

(309 citation statements)

References 38 publications

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“…Countries included in the analysis were: Argentina, Belgium, China, Denmark, England, Finland, France, Germany, Greece, Hungary, Italy, Korea, the Netherlands, New Zealand, Slovenia, Spain, Sweden, Thailand, United Kingdom, and the United States [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. For two countries (Argentina and China), the dataset transfer to the central archive was not possible.…”

Section: Datamentioning

confidence: 99%

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

et al. 2018

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This study provides EQ-5D population norms for 20 countries (N = 163,838), which can be used to compare profiles for patients with specific conditions with data for the average person in the general population in a similar age and/or gender group. Descriptive EQ-5D data are provided for the total population, by gender and by seven age groups. Provided index values are based on European VAS for all countries, based on TTO for 11 countries and based on VAS for 10 countries. Important differences exist in EQ-5D reported health status across countries after standardizing for population structure. Self-reported health according to all five dimensions and EQ VAS generally decreased with increasing age and was lower for females. Mean self-rated EQ VAS scores varied from 70.4 to 83.3 in the total population by country. The prior living standards (GDP per capita) in the countries studied are correlated most with the EQ VAS scores (0.58), while unemployment appeared to be significantly correlated in people over the age of 45 only. A country's expenditure on health care correlated moderately with higher ratings on the EQ VAS (0.55). EQ-5D norms can be used as reference data to assess the burden of disease of patients with specific conditions. Such information, in turn, can inform policy-making and assist in setting priorities in health care. KeywordsHealth state values · EQ-5D · Population norms · Health-related quality of life JEL Classification I10 · I30 · J11 · H51

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Section: Datamentioning

confidence: 99%

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

et al. 2018

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“…EQ-5D has been used in cross-sectional studies in both general populations [3][4][5] and those with specific morbidities. [6][7][8][9] So far, however, there has been no report of any long-term longitudinal study in the UK, although two British population surveys described follow-up of 1 year.…”

Section: Introductionmentioning

confidence: 99%

Temporal change in health-related quality of life: a longitudinal study in general practice 1999–2004

Hazell

Morris²,

Linehan³

et al. 2009

Br J Gen Pract

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BackgroundIn order to assess and plan for changing healthcare needs, the lack of available information regarding temporal changes in the health-related quality of life of a population must be addressed. AimThis paper aims to describe such changes over 5 years in a general population. Design of studyLongitudinal postal questionnaire study. Setting UK general practice. MethodThis was a longitudinal postal questionnaire study in two general practice populations, using the generic instrument EQ-5D to measure health-related quality of life. Individuals were included if they responded to three postal surveys in 1999, 2001, and 2004 and there were three consecutive values of EQ-5Dindex available between 1999 and 2004. ResultsA total of 2498 subjects were included in the study. After adjustment for potential confounders (including ageing), health-related quality of life declined significantly over the observation period. The change in EQ-5Dindex was from 0.79 to 0.74 and for EQ-5Dvas 76.8 to 73.3 (P for both trends <0.001). ConclusionHealth-related quality of life deteriorated in these populations over 5 years. In an era of improvements in mortality, this has important implications for the use of health-related quality of life data in healthcare planning and resource allocation.Keywords chronic disease; EQ-5D; health related quality of life; temporal trend. INTRODUCTIONTo assess the changing health needs of a population and to evaluate the extent to which patients' healthrelated quality of life (HRQoL) benefits from health care, it is generally agreed that a systematic structured approach is needed.1 For this purpose, generic HRQoL measures such as EQ-5D have been developed. 2In contrast to disease-specific instruments, these can compare quality of life in populations, regardless of disease.EQ-5D has been used in cross-sectional studies in both general populations 3-5 and those with specific morbidities.6-9 So far, however, there has been no report of any long-term longitudinal study in the UK, although two British population surveys described follow-up of 1 year.1,10 A recent study from Sweden reported a deterioration over 4 years in HRQoL of women of all ages, and in younger men. 11 METHODThe aim of this study was to compare the temporal changes in health-related quality of life in three postal surveys. This study formed part of a larger long-term epidemiological study looking at a

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“…In a Swedish population, people with LBP showed lower EQ-5D scores than those with hypertension, diabetes, asthma, and ischemic heart disease; next to depression, LBP was associated with the greatest loss of QOL [10,11]. Similar results were obtained in Finnish and U.S. populations [15,16]. Unfortunately, data on EQ-5D scores for people with chronic conditions are scarce in Japan.…”

Section: Discussionmentioning

confidence: 70%

Low back pain deprives the Japanese adult population of their quality of life: a questionnaire survey at five healthcare facilities in Japan

Suka

Yoshida

2008

Environ Health Prev Med

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Objectives To estimate the degree to which low back pain (LBP) deprives the Japanese adult population of their quality of life (QOL) in terms of quality-adjusted life-years (QALYs). Methods A questionnaire survey was conducted among participants of health examinations at five healthcare facilities in Japan. Age-and sex-specific mean values of the EQ-5D score were calculated for (1) those who reported LBP and interference with daily activities (IDA) due to the pain (n = 251), (2) those who reported LBP but no IDA (n = 955), and (3) those who reported no musculoskeletal pain (n = 2887). To estimate the loss of QALYs due to LBP in the Japanese adult population, we multiplied the age-and sex-specific mean differences of the EQ-5D scores between the LBP with (or without) IDA group and the no pain group by the corresponding age-and sex-specific numbers of people with LBP with (or without) IDA in Japan.

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The Impact of 29 Chronic Conditions on Health-related Quality of Life: A General Population Survey in Finland Using 15D and EQ-5D

Abstract: Musculoskeletal disorders are associated with largest losses of HRQoL in the Finnish population, followed by psychiatric conditions. Different HRQoL measures may systematically emphasize different conditions.

Cited by 352 publications

References 38 publications

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

Temporal change in health-related quality of life: a longitudinal study in general practice 1999–2004

Low back pain deprives the Japanese adult population of their quality of life: a questionnaire survey at five healthcare facilities in Japan

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