Assessment of data quality in a multi-centre cross-sectional study of participation and quality of life of children with cerebral palsy
| Autor: | Vicki McManus, Ute Thyen, Susan Ishøy Michelsen, Giorgio Schirripa, Jérôme Fauconnier, Jacqueline Parkes, Catherine Arnaud, Heather O Dickinson, Kathryn Parkinson, Eva Beckung, Allan Colver |
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| Přispěvatelé: | Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF), Financement européen, SPARCLE |
| Rok vydání: | 2006 |
| Předmět: |
Male
Questionnaires Research design MESH: Registries Psychometrics Cross-sectional study MESH: Logistic Models Walking Social Environment 0302 clinical medicine Quality of life Surveys and Questionnaires Sickness Impact Profile MESH: Child Registries Child 10. No inequality MESH: Social Environment education.field_of_study lcsh:Public aspects of medicine MESH: Research Design MESH: Bias (Epidemiology) Disabled Children Europe MESH: Sickness Impact Profile Research Design Bias (Epidemiology) Female Research Article medicine.medical_specialty MESH: Cerebral Palsy MESH: Social Support Population Cerebral palsy 03 medical and health sciences Social support MESH: Cross-Sectional Studies Bias MESH: Psychometrics SDG 3 - Good Health and Well-being 030225 pediatrics medicine Humans MESH: Walking Family Psychiatry education MESH: Family MESH: Humans business.industry Cerebral Palsy MESH: Questionnaires Public Health Environmental and Occupational Health Social Support MESH: Quality of Life lcsh:RA1-1270 medicine.disease MESH: Male Cross-Sectional Studies Logistic Models MESH: Disabled Children Quality of Life [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie MESH: Europe Biostatistics business MESH: Female 030217 neurology & neurosurgery Demography |
| Zdroj: | Dickinson, H, Parkinson, K, McManus, V, Arnaud, C, Beckung, E, Fauconnier, J, Michelsen, S I, Parkes, J, Schirripa, G, Thyen, U & Colver, A 2006, ' Assessment of data quality in a multi-centre cross-sectional study of participation and quality of life of children with cerebral palsy ', BMC Public Health, vol. 6, 273 . https://doi.org/10.1186/1471-2458-6-273 BMC Public Health BMC Public Health, BioMed Central, 2006, 6, pp.273. ⟨10.1186/1471-2458-6-273⟩ Dickinson, H, Parkinson, K, McManus, V, Arnaud, C, Beckung, E, Fauconnier, J, Michelsen, S I, Parkes, J, Schirripa, G, Thyen, U & Colver, A 2006, ' Assessment of data quality in a multi-centre cross-sectional study of participation and quality of life of children with cerebral palsy ', BMC Public Health, vol. 6, pp. 273 . https://doi.org/10.1186/1471-2458-6-273 BMC Public Health, Vol 6, Iss 1, p 273 (2006) |
| ISSN: | 1471-2458 |
| DOI: | 10.1186/1471-2458-6-273 |
| Popis: | Background SPARCLE is a cross-sectional survey in nine European regions, examining the relationship of the environment of children with cerebral palsy to their participation and quality of life. The objective of this report is to assess data quality, in particular heterogeneity between regions, family and item non-response and potential for bias. Methods 1,174 children aged 8–12 years were selected from eight population-based registers of children with cerebral palsy; one further centre recruited 75 children from multiple sources. Families were visited by trained researchers who administered psychometric questionnaires. Logistic regression was used to assess factors related to family non-response and self-completion of questionnaires by children. Results 431/1,174 (37%) families identified from registers did not respond: 146 (12%) were not traced; of the 1,028 traced families, 250 (24%) declined to participate and 35 (3%) were not approached. Families whose disabled children could walk unaided were more likely to decline to participate. 818 children entered the study of which 500 (61%) self-reported their quality of life; children with low IQ, seizures or inability to walk were less likely to self-report. There was substantial heterogeneity between regions in response rates and socio-demographic characteristics of families but not in age or gender of children. Item non-response was 2% for children and ranged from 0.4% to 5% for questionnaires completed by parents. Conclusion While the proportion of untraced families was higher than in similar surveys, the refusal rate was comparable. To reduce bias, all analyses should allow for region, walking ability, age and socio-demographic characteristics. The 75 children in the region without a population based register are unlikely to introduce bias. |
| Databáze: | OpenAIRE |
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