Dataset Information

Determinants of health-related quality of life in school-aged children: a general population study in the Netherlands.

ABSTRACT:

Background

Health 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.

Methods

As 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.

Results

Multivariate 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.

Conclusion

The 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.

SUBMITTER: Houben-van Herten M

PROVIDER: S-EPMC4416795 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

Determinants of health-related quality of life in school-aged children: a general population study in the Netherlands.

Houben-van Herten Marieke M Bai Guannan G Hafkamp Esther E Landgraf Jeanne M JM Raat Hein H

PloS one 20150501 5

<h4>Background</h4>Health 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.<h4 ...[more]

PMID: 25933361

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Project description:BACKGROUND:Variable and poor care quality are important causes of preventable patient harm. Many patients receive less than recommended care, but the extent of the problem remains largely unknown. The CareTrack Kids (CTK) research programme sought to address this evidence gap by developing a set of indicators to measure the quality of care for common paediatric conditions. In this study, we focus on one clinical area, 'preventive care' for pre-school aged children. Our objectives were two-fold: (i) develop and validate preventive care quality indicators and (ii) apply them in general medical practice to measure adherence. METHODS:Clinical experts (n = 6) developed indicator questions (IQs) from clinical practice guideline (CPG) recommendations using a multi-stage modified Delphi process, which were pilot tested in general practice. The medical records of Australian children (n = 976) from general practices (n = 80) in Queensland, New South Wales and South Australia identified as having a consultation for one of 17 CTK conditions of interest were retrospectively reviewed by trained paediatric nurses. Statistical analyses were performed to estimate percentage compliance and its 95% confidence intervals. RESULTS:IQs (n = 43) and eight care 'bundles' were developed and validated. Care was delivered in line with the IQs in 43.3% of eligible healthcare encounters (95% CI 30.5-56.7). The bundles of care with the highest compliance were 'immunisation' (80.1%, 95% CI 65.7-90.4), 'anthropometric measurements' (52.7%, 95% CI 35.6-69.4) and 'nutrition assessments' (38.5%, 95% CI 24.3-54.3), and lowest for 'visual assessment' (17.9%, 95% CI 8.2-31.9), 'musculoskeletal examinations' (24.4%, 95% CI 13.1-39.1) and 'cardiovascular examinations' (30.9%, 95% CI 12.3-55.5). CONCLUSIONS:This study is the first known attempt to develop specific preventive care quality indicators and measure their delivery to Australian children in general practice. Our findings that preventive care is not reliably delivered to all Australian children and that there is substantial variation in adherence with the IQs provide a starting point for clinicians, researchers and policy makers when considering how the gap between recommended and actual care may be narrowed. The findings may also help inform the development of specific improvement interventions, incentives and national standards.

Project description:Patients face multiple stresses and challenges in the aftermath of cancer diagnosis. Despite needs perceived by elderly patients might differ from those of younger patients, there is a paucity of published data assessing the specific evolution and relevant determinants of health-related quality of life (HRQoL) in older patients with cancer. Such determinants may include cancer type/location/stage, treatment type/intensity, comorbidities, nutritional status or socioeconomic features, but also practical organization of care -frequency, geographical distance, supporting measures -, or psychosocial and material support - social network, housing conditions and contextual neighborhood features. Comparatively to dementia or cancer in younger patients, little is known in the oncogeriatric field of the impact on caregivers’ perceived burden and HRQol of the support they provide to patients. Further, the potential interactions between patients’ and caregivers’ HRQoL remain largely unknown, while caregivers are often themselves old with chronic diseases and/or daily living activities’ limitations. The DEQOLAGE study is a prospective observational cohort study that aims to describe the HRQoL of patients aged over 70 years with a colorectal or prostatic cancer during the first year following the diagnosis of the disease as well as the HRQoL and burden in their main caregivers. This study will allow a comprehensive assessment of multiple determinants of HRQoL operating at different levels, including individual (cancer type/location/stage, treatment type/intensity, comorbidities, nutritional status or socioeconomic features), contextual (social network, housing conditions and contextual neighborhood features) and organizational factors (frequency, geographical distance, supporting measures). We also hypothesize that complex interactions may operate between patient’s and caregiver’s HRQoL and perceived burden. Quality of life measurement will be based on two recent scales specifically designed for the elderly to confirm their psychometric properties and in-field feasibility.

Project description:OBJECTIVES:To describe the distribution of health-related quality of life (HRQL) in a national sample of Australian children aged 11-12 years and their parents, and examine associations within parent-child dyads. DESIGN:The Child Health CheckPoint, a population-based cross-sectional study nested between waves 6 and 7 of the Longitudinal Study of Australian Children (LSAC). SETTING:Assessment centres in seven Australian cities and eight regional towns, or home visit; February 2015 to March 2016. PARTICIPANTS:Of all participating CheckPoint families (n=1874), 1853 children (49.0% girls) and 1863 parents (87.7% mothers) with HRQL data were included (1786 pairs). OUTCOME MEASURES:HRQL was self-reported using preference-based (Child Health Utility 9Dimension, CHU9D) and non-preference-based (Pediatric Quality of Life, PedsQL V.4.0) measures for children and preference-based measures for parents (CHU9D; Assessment of Quality of Life 8 Dimension, AQoL-8D). Utility scores from preference-based measures were calculated using existing Australian algorithms to present a score on a 0-1 scale, where 1 represents full health. Parent-child concordance was assessed using Pearson's correlation coefficients and adjusted linear regression models. Survey weights and methods were applied to account for LSAC's complex sample design, stratification and clustering within postcodes. RESULTS:Children's means and SD were 0.81 (SD 0.16) for CHU9D and 78.3 (SD 13.03) for PedsQL. In adults, mean HRQL for AQoL-8D and CHU9D were 0.78 (SD 0.16) and 0.89 (SD 0.10), respectively. Mean HRQL was similar for boys and girls, but slightly higher for fathers than mothers. The Pearson correlation coefficient for parent-child CHU9D values was 0.13 (95% CI 0.09 to 0.18). Percentiles and concordance are presented for both samples for males and females separately and together. CONCLUSIONS:We provide Australian paediatric population values for HRQL measures, and the first national CHU9D values for mid-life adults. At age 11-12 years in this relatively healthy sample, parent-child concordance in HRQL was small.

Dataset Information

Determinants of health-related quality of life in school-aged children: a general population study in the Netherlands.

Background

Methods

Results

Conclusion

Publications

Determinants of health-related quality of life in school-aged children: a general population study in the Netherlands.

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