Quantifying the physical, social and attitudinal environment of children with cerebral palsy

References

• United Nations. Convention on the rights of persons with disabilities. Resolution 60/232. New York 2006.
   Google Scholar
• World Health Organisation. International classification of functioning, disability and health. Geneva; 2001.
   Google Scholar
• Oliver M. The politics of disablement. London: Macmillan; 1990.
   Google Scholar
• Craig Hospital Research Department. Craig hospital inventory of environmental factors (CHIEF) manual, version 3.0. Englewood, CO: Craig Hospital; 2001.
   Google Scholar
• Whiteneck GG, Harrison-Felix CL, Mellick DC, Brooks CA, Charlifue SB, Gerhart KA. Quantifying environmental factors: a measure of physical, attitudinal, service, productivity, and policy barriers. Arch Phys Med Rehabil 2004;85:1324–1335.
   PubMed Web of Science ®Google Scholar
• Whiteneck G, Meade M, Dijkers M, Tate D, Bushnik T, Forchheimer M. Environmental factors and their role in participation and life satisfaction after spinal cord injury. Arch Phys Med Rehabil 2004;85:1793–1803.
   PubMed Web of Science ®Google Scholar
• Gray DB, Hollingsworth HH, Stark S, Morgan KA. A subjective measure of environmental facilitators and barriers to participation for people with mobility limitations. Disabil Rehabil 2008;30:434–457.
   PubMed Web of Science ®Google Scholar
• Iwarsson S. The housing enabler: an objective tool for assessing accessibility. Br J Occup Ther 1999;62:491–497.
   Google Scholar
• Iwarsson S, Jensen G, Stahl A. Travel chain enabler: development of a pilot instrument for assessment of urban public bus transport accessibility. Technol Disabil 2000;12:3–12.
   Google Scholar
• Rimmer JH, Riley B, Wang E, Rauworth A. Development and validation of AIMFREE: accessibility instruments measuring fitness and recreation environments. Disabil Rehabil 2004;26:1087–1095.
   PubMed Web of Science ®Google Scholar
• Coster W, Deeney TA, Haltiwanger JT, Haley SM. School function assessment, user's manual. San Antonio: Harcourt Assessment; 1998.
   Google Scholar
• Hemmingson H, Borell L. The development of an assessment of adjustment needs in the school setting for use with physically disabled students. Scand J Occup Ther 1996;3:156–162.
   PubMedGoogle Scholar
• Haley SM, Coster WJ, Ludlow LH, Haltiwanger JT, Andrellos PJ. Pediatric evaluation of disability inventory (PEDI). Development standardisation and administration manual. Boston: Boston University; 1992.
   Google Scholar
• Bedell GM, Dumas HM. Social participation of children and youth with acquired brain injuries discharged from inpatient rehabilitation: a follow-up study. Brain Inj 2004;18:65–82.
   PubMed Web of Science ®Google Scholar
• Fougeyrollas P, Noreau L, St Michel G, Boschen K. Measure of the quality of the environment: Version 2.0. Quebec: INDCP; 1999.
   Google Scholar
• Boissière L, Doré L, Lepage C. Mesure de la qualité de l'environnement. Version 2 adaptée pour la clientèle enfants-adolescents. Québec: INDCP; 2003.
   Google Scholar
• Colver A. Study protocol: SPARCLE – a multi-centre European study of the relationship of environment to participation and quality of life of children with cerebral palsy. BMC Publ Health 2006;6:105.
   PubMed Web of Science ®Google Scholar
• Mihaylov SI, Jarvis S, Colver A, Beresford B. Identification and description of environmental factors that influence participation of children with cerebral palsy. Dev Med Child Neurol 2004;46:299–304.
   PubMed Web of Science ®Google Scholar
• Lawlor K, Mihaylov S, Welsh B, Jarvis S, Colver A. A qualitative study of the physical, social and attitudinal environments influencing the participation of children with cerebral palsy in northeast England. Pediatr Rehabil 2006;9:219–228.
   PubMedGoogle Scholar
• McManus V, Michelsen S, Parkinson K, Colver A, Beckung E, Pez O, Caravale B. Discussion groups with parents of children with cerebral palsy in Europe designed to assist development of a relevant measure of environment. Child Care Health Dev 2006;32:185–192.
   PubMed Web of Science ®Google Scholar
• Dickinson H, Parkinson K, McManus V, Arnaud C, Beckung E, Fauconnier J, Michelsen SI, Parkes J, Schirripa G, Thyen U, Colver A. Assessment of data quality in a multi-centre cross-sectional study of participation and quality of life of children with cerebral palsy. BMC Publ Health 2006;6:273.
   PubMed Web of Science ®Google Scholar
• Palisano R, Rosenbaum P, Walter S, Russell D, Wood E, Galuppi B. Development and reliability of a system to classify gross motor function in children with cerebral palsy. Dev Med Child Neurol 1997;39:214–223.
   PubMed Web of Science ®Google Scholar
• Skrondal A, Rabe-Hesketh S. Generalized latent variable modelling: multilevel, longitudinal, and structural equation models. London: Chapman & Hall, 2004.
   Google Scholar
• Streiner D, Norman G. Health measurement scales: a practical guide to their development and use. 3rd ed. Oxford: Oxford University Press; 2003.
   Google Scholar
• Jöreskog K. Structural equation modelling with ordinal variables using LISREL. [cited 2002–2005]. Electronic Citation. http://www.ssicentral.com/lisrel/techdocs/ordinal.pdf
   Google Scholar
• Jöreskog K, Sörbom D. Section 1.3: Measurement models. LISREL 8: Structural equation modeling with SIMPLIS command language. Lincolnwood: Scientific Sostware International; 1993. pp 15–21.
   Google Scholar
• Bond T, Fox C. Applying the rasch model: fundamental measurement in the human sciences. Mahwah: Lawrence Erlbaum Associates; 2001.
   Google Scholar
• Rabe-Hesketh S, Skrondal A, Pickles A. Generalized multilevel structural equation modelling. Psychometrika 2004;69:167–190.
   Web of Science ®Google Scholar
• Horn J. A rationale and test for the number of factors in factor analysis. Psychometrika 1965;30:179–185.
   PubMed Web of Science ®Google Scholar
• Kaufman J, Dunlap W. Determining the number of factors to retain: a program for parallel analysis. Behav Res Methods, Instr, Comput 2000;32:389–395.
   PubMedGoogle Scholar
• Glas C, Verhelst N. Chapter 5. Testing the Rasch model. In: Fischer G, Molenaar I, editors. Rasch models: foundations, recent developments, and applications. New York: Springer-Verlag; 1995;69–96.
   Google Scholar
• De Boeck P, Wilson M, editors. Explanatory item response models: a generalized linear and nonlinear approach. New York: Springer; 2004.
   Google Scholar
• Noble M, Smith G, Penhale B, Wrigt G, Dibben C, Owen T, Lloyd M. Measuring multiple deprivation at the small area level: the indices of deprivation 2000. London: Department of the Environment, Transport and the Regions; 2000.
   Google Scholar
• Bollen K, Lennox R. Conventional wisdom on measurement: a structural equation perspective. Psychol Bull 1991;110:305–314.
   Web of Science ®Google Scholar
• Fayers P, Hand D. Causal variables, indicator variables and measurement scales: an example from quality of life. J R Stat Soc A 2002;165:233–261.
   Web of Science ®Google Scholar
• Fisher W. Survey design recommendations. Pop Meas 2000;3:58–60.
   Google Scholar
• Forsyth R, Colver A, Alvanides S, Woolley M, Lowe M. Participation of young severely disabled children is influenced by their intrinsic impairments and environment. Dev Med Child Neurol 2007;49:345–349.
   PubMed Web of Science ®Google Scholar
• Ravens-Sieberer U, Gosch A, Rajmil L, Erhart M, Bruil J, Duer W, Auquier P, Power M, Abel T, Czemy L, Mazur J, Czimbalmos A, Tountas Y, Hagquist C, Kilroe J. KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Rev Pharmacoeconom Outcomes Res 2005;5:353–364.
   PubMedGoogle Scholar
• Feeny D, Furlong W, Torrance GW, Goldsmith CH, Zhu Z, DePauw S, Denton M, Boyle M. Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Med Care 2002;40:113–128.
   PubMed Web of Science ®Google Scholar
• Whiteneck G, Dijkers M. Difficult to measure constructs: conceptual and methodological issues concerning participation and environmental factors. Arch Phys Med Rehabil 2009;90 (Suppl 1):22–35.
   PubMed Web of Science ®Google Scholar
• Jöreskog K, Sörbom D. Chapter 4: Fitting and testing. LISREL 8: Structural equation modeling with SIMPLIS command language. Lincolnwood: Scientific Sostware International 1993:111–131.
   Google Scholar
• Wright BD. Comparing Rasch measurement and factor analysis. Struct Equ Modeling 1996;3:3–24.
   Web of Science ®Google Scholar