Health-related quality-of-life measures for long-term follow-up in children after major trauma

Objective: Our objective was to review measures of health-related quality of life (HRQL) for long-term follow up in children after major trauma and to determine the measures that are suitable for a large age range, reliable and valid, and cover a substantial amount of the domains of functioning using the International Classification of Functioning, Disability, and Health (ICF) of the World Health Organization (WHO). Methods: The Medline and EMBASE databases were searched in all years up to October 2007 for generic HRQL measures suitable for children aged 5-18 years old and validated in English or Dutch. Measures were reviewed with respect to the age range for which the measure was suitable and reliability, validity, and content related to the ICF. Results: The search resulted in 1,235 hits and 21 related articles. Seventy-nine papers met the inclusion criteria, describing in total 14 measures: Child Health and Illness Profile Adolescent and Child Edition (CHIP-AE/CE), Child Health Questionnaire Child and Parent Forms (CHQCF87/PF50/PF28), DISABKIDS, Functional Status II (FS II)(R), Health Utilities Index Mark 2 (HUI 2), KIDSCREEN 52/27, KINDL, Pediatric Quality of Life Inventory (PedsQL), TNO Institute of Prevention and Health and the Leiden University Hospital (TNO-AZL), TNO-AZL Children’s Quality Of Life (TACQOL), and Youth Quality of Life Instrument-Research Version (YQOL-R). Measures that were suitable for a large age range were CHQ-PF50/PF28, DISABKIDS, FS II(R), HUI 2, KIDSCREEN, PedsQL, and TACQOL. All measures had moderate to good psychometric properties, except for CHQ-PF50/PF28, KINDL, and TACQOL, which had either low internal consistency or bad test-retest reliability. The measures that covered more than six chapters of the ICF domains were CHIP-AE/CE, CHQ-CF87/PF50, DISABKIDS, KIDSCREEN-52, PedsQL, and TACQOL. Conclusions: DISABKIDS, KIDSCREEN 52, and Peds-QL are suitable for long-term follow-up measurement of HRQL in children after major trauma. They cover a large age range, have good psychometric properties, and cover the ICF substantially

Money is not enough: exploring the impact of social and cultural resources on youth health.

BACKGROUND: Findings on socioeconomic health differentials in youth remain fragmented with the role of cumulative and interaction effects of different forms of health resources not well understood. METHODS: European KIDSCREEN data were analysed to explore effects of material and non-material resources on subjective health in The Netherlands, Hungary, and the UK. RESULTS: Regression analysis revealed significant main effects of economic, social, and cultural resources on youth health. In the UK an interaction effect between economic and cultural resources indicated a conditional relationship between material and non-material health resources. CONCLUSIONS: Exploring the combined impact of economic, social, and cultural resources may contribute to our understanding of health differentials

The use of focus groups in the development of the KIDSCREEN HRQL questionnaire

There is increasing interest in the public health sector in the health-related quality of life (HRQL) of healthy children. However, most HRQL instruments are developed for children with a chronic illness. In addition, existing questionnaires are mostly based on expert opinion about what constitutes HRQL and the opinions and views of healthy children are seldom included. In the European project KIDSCREEN, a generic questionnaire was developed for children between the ages of 8 and 18 on the basis of children's opinions about what constitutes HRQL. Focus group discussions were organised in six European countries to explore the HRQL as perceived by children. There were six groups in each country, stratified by gender and age. The age groups were 8-9 years, 12-13 years, and 16-17 years, with 4-8 children in each group. Experienced moderators guided the discussions. The full discussions were audiotaped, transcribed and content-analysed. The discussions went smoothly, with much lively debate. For the youngest group, the most important aspect of their HRQL was family functioning. For both younger and older adolescents, social functioning, including the relationship with peers, was most important. Children in all groups considered physical and cognitive functioning to be less important than social functioning. These key findings were taken into account when designing the KIDSCREEN HRQL questionnaire for healthy children and adolescents, with more emphasis being placed on drawing up valid scales for family and social functioning. In addition, items were constructed using the language and lay-out preferred by the youngsters themselves. We conclude that focus groups are a useful way of exploring children's views of HRQL, showing that an emphasis should be placed on constructing valid social and family scales

Methods and representativeness of a European survey in children and adolescents: the KIDSCREEN study

Berra S, Ravens-Sieberer U, Erhart M, et al. Methods and representativeness of a European survey in children and adolescents: the KIDSCREEN study. BMC PUBLIC HEALTH. 2007;7(1):182.Background: The objective of the present study was to compare three different sampling and questionnaire administration methods used in the international KIDSCREEN study in terms of participation, response rates, and external validity. Methods: Children and adolescents aged 8-18 years were surveyed in 13 European countries using either telephone sampling and mail administration, random sampling of school listings followed by classroom or mail administration, or multistage random sampling of communities and households with self-administration of the survey materials at home. Cooperation, completion, and response rates were compared across countries and survey methods. Data on non-respondents was collected in 8 countries. The population fraction (PF, respondents in each sex-age, or educational level category, divided by the population in the same category from Eurostat census data) and population fraction ratio (PFR, ratio of PF) and their corresponding 95% confidence intervals were used to analyze differences by country between the KIDSCREEN samples and a reference Eurostat population. Results: Response rates by country ranged from 18.9% to 91.2%. Response rates were highest in the school-based surveys (69.0%-91.2%). Sample proportions by age and gender were similar to the reference Eurostat population in most countries, although boys and adolescents were slightly underrepresented (PFR < 1). Parents in lower educational categories were less likely to participate (PFR < 1 in 5 countries). Parents in higher educational categories were overrepresented when the school and household sampling strategies were used (PFR = 1.78-2.97). Conclusion: School-based sampling achieved the highest overall response rates but also produced slightly more biased samples than the other methods. The results suggest that the samples were sufficiently representative to provide reference population values for the KIDSCREEN instrument

Being Bullied: Associated Factors in Children and Adolescents 8 to 18 Years Old in 11 European Countries

OBJECTIVES. To analyze the prevalence of bullying victims among children and adolescents aged 8 to 18 years in 11 European countries and to investigate the associated sociodemographic, physical, and psychosocial factors. METHODS. Being a bullying victim was measured by using the social acceptance (bullying) scale from the Kidscreen-52, a health-related quality-of-life questionnaire administered to 16 210 children and adolescents aged 8 to 18 and their parents in postal or school-based surveys in 11 European countries. Standardized mean differences (effect size) were computed to measure the percentage of children/adolescents scoring 1 SD below the mean on the Kidscreen bullying scale. Logistic regression models were used to determine which sociodemographic, physical, and psychosocial factors were associated with being bullied. RESULTS. The percentage of children being bullied was 20.6% for the entire sample, ranging from 10.5% in Hungary to 29.6% in the United Kingdom. In almost all countries the factors most strongly associated with being bullied were younger age, having probable mental health problems, having a low score on the Kidscreen-52 moods and emotions dimensions, and poor social support. Using the grand mean for all countries as the reference category, there was an above-average likelihood of children or adolescents reporting that they had been victims of bullying in 5 countries (Austria, Netherlands, Spain, Switzerland, and the United Kingdom), and a below-average likelihood in 3 countries (France, Greece, Hungary). CONCLUSIONS. This study indicated considerable variation between countries in the prevalence of those perceiving themselves to be victims of bullying but also revealed a clear profile of those likely to be bullied. The study also suggests that the Kidscreen bullying scale could be useful in identifying potential bullying victims