Sociodemographic and neighbourhood determinants of health-related quality of life among grade-five students in Canada

Wu, Xiuyun; Öhinmaa, Arto; Veugelers, Paul J.

doi:10.1007/s11136-010-9663-z

Cited by 28 publications

(39 citation statements)

References 37 publications

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“…Also, a low socioeconomic position of the child or the child’s family, as measured by income [ 12 ], parental education level or family wealth [ 13 ], negatively influences parental reports of child HRQOL. In addition, children living in neighbourhoods scoring high on satisfaction to live there and on good access to services like recreational programmes and stores with fresh fruit and vegetables reported higher HRQOL [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Determinants of Health-Related Quality of Life in School-Aged Children: A General Population Study in the Netherlands

et al. 2015

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BackgroundHealth related quality of life is the functional effect of a medical condition and/or its therapy upon a patient, and as such is particularly suitable for describing the general health of children. The objective of this study was to identify and confirm potential determinants of health-related quality of life in children aged 4-11 years in the general population in the Netherlands. Understanding such determinants may provide insights into more targeted public health policy.MethodsAs part of a population based cross sectional study, the Child Health Questionnaire (CHQ) Parental Form 28 was used to measure health-related quality of life in school-aged children in a general population sample. Parents of 10,651 children aged 4-11 years were interviewed from January 2001 to December 2009.ResultsMultivariate and regression analyses demonstrated a declined CHQ Physical Summary score for children who had >1 conditions, disorders or acute health complaints and who were greater consumers of healthcare; children with a non-western immigrant background; and children whose parents did not work. Lower CHQ Psychosocial Summary score was reported for children who had >1 conditions, disorders or acute health complaints, boys, children of single parents and obese children.ConclusionThe best predictors of health-related quality of life are variables that describe use of health care and the number of disorders and health complaints. Nonetheless, a number of demographic, socio-economic and family/environmental determinants contribute to a child’s health-related quality of life as well.

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Section: Introductionmentioning

confidence: 99%

Determinants of Health-Related Quality of Life in School-Aged Children: A General Population Study in the Netherlands

et al. 2015

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“…47 studies (52.2% of 90) were CUAs of which 21 [ 42 – 62 ] (44.7% of 47) were incorporated into randomised controlled trials for interventions. 23 [ 39 , 40 , 63 – 83 ] studies (25.6% of 90) were health-state utility assessments. Eight [ 19 , 84 – 90 ] studies (8.9% of 90) were validations of calculation methods.…”

Section: Methodsmentioning

confidence: 99%

“…Some studies discussed the short-comings of the calculation methods used. For example, Canaway et al (2012), Oluboyede et al (2011) and Wu et al (2010) all discussed the lack of an appropriate tariff for the EQ-5D-Y [ 83 , 92 , 99 ], acknowledging that existing utilities have been taken from the adult-specific EQ-5D, finally stating that the current EQ-5D-Y is not yet complete without the child-focused tariff. Thorrington et al (2014) also commented on the lack of a child-specific tariff for the EQ-5D-Y [ 78 ].…”

Section: Methodsmentioning

confidence: 99%

Measuring Health Utilities in Children and Adolescents: A Systematic Review of the Literature

Thorrington

Eames

2015

PLoS ONE

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BackgroundThe objective of this review was to evaluate the use of all direct and indirect methods used to estimate health utilities in both children and adolescents. Utilities measured pre- and post-intervention are combined with the time over which health states are experienced to calculate quality-adjusted life years (QALYs). Cost-utility analyses (CUAs) estimate the cost-effectiveness of health technologies based on their costs and benefits using QALYs as a measure of benefit. The accurate measurement of QALYs is dependent on using appropriate methods to elicit health utilities.ObjectiveWe sought studies that measured health utilities directly from patients or their proxies. We did not exclude those studies that also included adults in the analysis, but excluded those studies focused only on adults.Methods and FindingsWe evaluated 90 studies from a total of 1,780 selected from the databases. 47 (52%) studies were CUAs incorporated into randomised clinical trials; 23 (26%) were health-state utility assessments; 8 (9%) validated methods and 12 (13%) compared existing or new methods. 22 unique direct or indirect calculation methods were used a total of 137 times. Direct calculation through standard gamble, time trade-off and visual analogue scale was used 32 times. The EuroQol EQ-5D was the most frequently-used single method, selected for 41 studies. 15 of the methods used were generic methods and the remaining 7 were disease-specific. 48 of the 90 studies (53%) used some form of proxy, with 26 (29%) using proxies exclusively to estimate health utilities.ConclusionsSeveral child- and adolescent-specific methods are still being developed and validated, leaving many studies using methods that have not been designed or validated for use in children or adolescents. Several studies failed to justify using proxy respondents rather than administering the methods directly to the patients. Only two studies examined missing responses to the methods administered with respect to the patients’ ages.

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“…The EQ-5D-Y questionnaire has been validated in five countries, including Germany, Italy, South Africa, Spain, and Sweden [20,21]. It was tested in a cohort of children with cystic fibrosis starting from age 9 years [28], and in a study of children with eczema from age 7 years upward [29], and in general populations [30,31]. The Dutch EQ-5D children version was administered in studies by Willems et al [26,27] and contains some alterations in phrasing.…”

Section: Eq-5d Versionsmentioning

confidence: 99%

EQ-5D for the Assessment of Health-Related Quality of Life and Resource Allocation in Children: A Systematic Methodological Review

Noyes

Edwards

2011

Value in Health

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For reasons of comparability with resource use across adult and children's services, there are arguments for continued use of EQ-5D in studies with children. We recommend use of EQ-5D alongside children-specific quality of life measures and disease-specific measures. Researchers are encouraged to undertake methodological and philosophical analyses to better understand and improve evidence as to how adults who make decisions about resource allocation can best take account of children in decision making.

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Sociodemographic and neighbourhood determinants of health-related quality of life among grade-five students in Canada

Cited by 28 publications

References 37 publications

Determinants of Health-Related Quality of Life in School-Aged Children: A General Population Study in the Netherlands

Determinants of Health-Related Quality of Life in School-Aged Children: A General Population Study in the Netherlands

Measuring Health Utilities in Children and Adolescents: A Systematic Review of the Literature

EQ-5D for the Assessment of Health-Related Quality of Life and Resource Allocation in Children: A Systematic Methodological Review

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