The validation of an activity monitor for use with type 1 and 2 gait patterns in cerebral palsy
McAloon, M 2007, The validation of an activity monitor for use with type 1 and 2 gait patterns in cerebral palsy , MRes thesis, University of Salford.
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methods in which this can be achieved is through evidence based practice. The current climate within the NHS has clear manifestations of such practice, the most visible perhaps being the increase in audit within practice. The facilitation of high quality care also requires practitioners to partake in multiprofessional treatment planning and embrace such plans into their every day practice. In line with the above it is essential that during the emergence of such practice audit occurs to measure the effectiveness of such approaches. One of the areas that could greatly benefit from such practice is that of Cerebral Palsy. Management of children with cerebral palsy is the focus of considerable resources in many countries so that the evaluation of the efficacy of new and established treatments is imperative (Boyd 2001). Cerebral Palsy is a lifelong condition with a significant impact on the individual and their carers. Most subjects with mild or moderately severe CP survive into adult life and have a normal life expectancy (Bhusan 1993). Although the brain pathology that underlies the clinical manifestations of CP is non-progressive, the functional abilities of the individuals and their health and social needs usually change (Bakheit 2001). With the above philosophy of evidence based practice in mind and the current need for valid and reliable tools to achieve this goal, it is the aim of this thesis to validate an activity monitor, the activPAL, for use with cerebral palsy (CP). It will establish whether or not the activPAL activity monitor is a valid and reliable tool with which to measure this population. A review of existing activity monitor research shall take place and outcome measures currently adopted within cerebral palsy studies shall be reviewed.
|Item Type:||Thesis (MRes)|
|Themes:||Subjects / Themes > R Medicine > R Medicine (General)|
Health and Wellbeing
|Schools:||Colleges and Schools > College of Health & Social Care|
Colleges and Schools > College of Health & Social Care > School of Health Sciences > Centre for Health Sciences Research
Colleges and Schools > College of Health & Social Care > School of Health Sciences
|Depositing User:||MT McAloon|
|Date Deposited:||06 Nov 2009 16:42|
|Last Modified:||19 Feb 2014 09:59|
|References:||Armstrong, N, Balding J, Gentle P, Kirby B. Patterns of physical activity among 11-16 year old British children. British Medical Journal. 1990 (301) 203-205. Bakheit A.M.O, Bower E, Cosgroves A, Fox M, Morton R, Phillips S, Scrutton D, Shrubb V, Yude C. ‘Opinion statement on the minimal acceptable standards of healthcare in cerebral palsy.’ Disability and Rehabilitation, 2001; vol 23, no 13, 578-582 Bailey RC, Olsen J, Pepper SL, Porszaz J, Barstow TL, Cooper DM. The level and tempo of childrens physical activities: an observational study. Medicine and science in sports and exercise. (1995) 27, 1033-1041. Baranowski T, Bouchard C, Bar-Or O, Bricker T, Heath G, Kimm SYS,, Malina R, Obarzenek E, Pate R, StrongWB, Truman B, Washington R, Assessment and prevalence of and cardiovascular benefits of physical activity and fitness in youth. Medicine and Science in Sports and Exercise, 24(suppl) 237-247. Barrett P.S. Research Grant Applications; Full economic costing. Contracts Office, Research and Graduate College, Salford University. Accessed on 16th October 2005 www.rgc.salford.ac.uk.pages.index Bhusan V, Paneth N, Kiely J. ‘Impact of improved survival of very low birth weight infants on recent secular trends in the prevalence of cerebral palsy.’ Pediatrics 1993; (91) 1094-1100 Black N, Brazier J, Fitzpatrick R, Reeves B. Health Services Research Methods A guide to best practice. BMJ Books BMJ Publishing Group. 1998 Blair E, Stanley F. Interobserver agreement in the classification of cerebral palsy. Dev. Med. Child Neurol. 1985; 27 615-622 Bland, J.M, Altman, D.G. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; Vol 1 307-310. Boyd. R, High or low technology measurements of energy expenditure in clinical gait analysis? Developmental Medicine and Child Neurology 1999, 41: 676-682 Boyd R N, Graham H K. Objective measurement of clinical findings in the use of botulinum toxin type A for the management of children with cerebral palsy. Eur J Neurol 1999;(6) (Suppl 4) 23-35. Boyd R N, Hays R M. Current evidence for the use of botulinum toxin A in the management of children with cerebral palsy: a systematic review. European Journal of Neurology 2001(8)(supplement 5)1-20. Bussmann JBJ, Stam HJ. Techniques for the measurement and assessment of mobility in rehabilitation: a theoretical approach. Clinical Rehabilitation 1998;Vol 12 455-464 Coleman K.L. Step Activity Monitor: long term, continuous recording of ambulatory function. Journal of Rehabilitation Research and Development. 1999; Vol 36 No 1, 8-18. Cone J.D, Foster D.L. Direct observation in clinical psychology. Methods in Clinical Psychology, P Kendall and J Butcher (Eds.). NY:John Willey and Sons, 1982, 311-354 Cornfield J. Randomisation by group: a formal analysis. American Journal of Epidiology. 1978;108:100-2 Cory IS, Cosgrove RP, Duffy CM, Taylor TC, Graham HK. Botulinum Toxin A in hamstring spasticity. Gait and Posture 1999 (10): 206-210 Crouter SE, Schneider PL, Karabulut M, Bassett DR. Validity of 10 electronic pedometers for measuring steps, distance and energy cost. Medical Science Sports Exercise. Dabney KW, Lipton GE, Miller F. Cerebral Palsy. Curr Opin Pediatrics 1997 (9) 81-88 Donner A, Brown KS, Brasher P. A methodological review of non-therapeutic intervention trials employing cluster randomisation. International Journal of Epidemiology 1990 (19) 795-800. Eastlack, M.E., Arvidson, J., Snyder-Mackler,L., Danoff,J.V. McGarvey, C.L. ‘Interrater reliability of videotaped observational gait analysis assessments’ Physical Therapy 1991 (71) 465-72 Elrdidge B,J, McCoy AT, Wolfe R, Graham H,K, Galea M. Remote activity monitoring by the uptimer in normal children. Developmental Medicine in Child Neurology 43 (suppl.88):41 (Abstract). Eldridge BJ, Galea M, McCoy A, Wolfe R, Graham HK. Uptime normative values in children aged 8 to 15 years. Developmental medicine and Child Neurology 2003 45: 189-193. Essex C. Hyperbaric oxygen and cerebral palsy: no proven benefit and potentially harmful. Developmental Medicine Child Neurology 2003 (45) 213-215. Fayers, PM, Machin D. Sample size: How many patients are necessary? (editorial). Br J Cancer 1995 (72) 1-9 Finn K.J, Specker B. Comparison of Actiwatch activity monitor and Children’s Activity Rating Scale in Children. Medicine and Science in Sports and Exercise 2000 Jan 1794-1797. Feldman A.B, Haley S.M, Coryell J. Concurrent and Constrict Validity of the Paediatric Evaluation of Disability Inventory. Physical Therapy 1990 (70) 602-610 Flett, P.J., Rehabilitation of spasticity and related problems in childhood cerebral palsy. Journal of Paediatrics and Child Health 2003 (39)6. Fowler F.J. Survey Research Methods (1993) (2nd edition) London Sage. Gage J R Gait analysis in cerebral palsy Clinics in developmental medicine No 121 1991 MacKeith Press Blackwell Scientific Publications Ltd, New York, Cambridge University Press. Helders, P.J.M. ‘To be and to become: the changing focus of developmental paediatrics. (2001); vol 23, No 13, 583-585 Howard J, Soo B, Kerr Graham H, Boyd R N, Reid S, Lanigan A, Wolfe R, Reddihough S. Cerebral Palsy in Victoria: Motor types, topography and gross motor function. Journal of Paediatrics and Child Health 2005 vol41 issue9-10, 479-483. Indrayan A, Chawla R. Clinical agreement in quantitative measurements. The national medical journal of India 1994 229-234 Kennes J, Rosenbaum P, Hanna S E. Health status of school aged children with cerebral palsy: Information from a population based sample. Developmental Medicine Child Neurology.2002;44:240-247 Klesges L.M, Klesges R.C, Swenson A,M, Pheley A.M. A validation of two motion sensors in the prediction of child and adult physical activity levels. American Journal of Epidemiology 1985;122:400-410 Krebs, D.E., Edelstein J.E., Fishman S. (1985): ‘Reliability of observational kinemetic gait analysis’, Physical Therapy 1985 65 1027-33 Lynn M. Determination and quantification of content validity. Nursing Research 1986 (35) 382-385 Mantha S, Roizen M.F, Fleisher L.A, Thisted R, Foss J. Comparing methods of clinical measurement: Reporting standards for Bland and Altman analysis. Anesthesia and Analgesia 2000; 90 (3) 593-602 McCabe M., Granger, C.V. (1990) ‘Content Validity of a Paediatric Functional Independence Measure.’ Applied Nursing Research 1990 (3) 120-122 McDonald C.M., Walsh D.D., Widman L.A., Walsh S.A., Abresch, R.T. (2000): Quantitative Assessment of Community Physical Activity Levels in Disabled Children with the Step Activity Monitor. Arch Phys Med Rehabilitation 2000 (81) 1273- Molnar G E, (1991) Rehabilitation in Cerebral Palsy. Western Journal of Medicine; 154(5): 569-572 Montoye H,J. Use of movement sensors in measuring physical activity. Journal of Sports Science 1988 (3) 223-236 Morris JWR. Accelerometry – a technique for the measurement of human body movements. J Biomechanics 1973 (6): 729-736 National institute for Health (07/09/2004) www.grants.nih.gov/grants/funding/sbir_successes/158 Noonan, K. 2003 Interobserver Variability of Gait Analysis in Patients with Cerebral Palsy. J Pediatric Orhopaedics 2003 (3): 279-287 Norbeck, J. (1985) ‘What constitutes a publishable report of instrument development? Nursing Research 1985 (34) 380-382 Novacheck TF, Schwartz M. Chapter 23 Functional assessment of outcomes pp 406-421. The treatment of gait problems in cerebral palsy. Edited by James R Gage 2004 Mac Keith Press. ISBN I 898683 379 Ottenbacher K.J, Stull G.A. The analysis and interpretation of method comparison studies in rehabilitation research. American Journal of Physical Medicine and Rehabilitation. 1993; 266-271. Palisano R, Rosenbaum P, Walter S, Russell D, Wood E, Galupi B. Development and reliability of a system to classify gross motor function in children with cerebral palsy. Dev. Med. Child Neurology. 1997; 39:214-23 Pirpiris M, Graham H,K. Uptime in Children with Cerebral Palsy. Journal of Pediatric Orthopedics. 2004 24 (5):521-528 Rodda J, Graham H,K. Classification of gait patterns in spastic hemiplegia and spastic diplegia: a basis for a management algorithm. European Journal of Neurology 2001(8)(Suppl.5)98-108. Rumeau-Rouquette C, Grandjean H, Cans C, du MC, Verrier A. Prevalence and time trends of disabilities in school-age children. International Journal of Epidemiology1997 (26) 137-145. Rowland TW. The biological basis of physical activity.Medicine and Science in sports and Exercise 1988 (30) 392-399. Rowlands AV, Eston RG, Ingledew DK. Measurement in children with particular referanceto the use of heart rate and pedometry. Sports Medicine 1997 (4) 258-272) Russell D, Rosenbaum P, Gowland C. The Gross Motor Function Measure, 2nd edition. Hugh McMillan Rehabilitation Centre, McMasterUniversity, Toronto, Canada. Russell D, Avery L M, Rosenbaum PL, Raina PS, Walter S D, Palisano RJ. Improved scaling of the gross motor function measure for children with cerebral palsy: evidence for reliability and validity. Physical Therapy 2000 (80):873-885. Ruud W. Selles, PhD, Margriet A.G.Formanoy, MSc, Johannes B.J. Bussmann, PhD, Henk J. Stam, PhD, MD. Automated detection of heel strike and toe-off timing using accelerometers; development and validation in transtibial amputees and controls. Medical and Biological Engineering and Computing. Sanchez M.M, Bruce S.B. Guidelines for measurement validation in clinical trials. Journal of biopharmaceutical statisitics 1999; 9 (3) 417-438. Schneider P,L, Crouter S,E, Lukajic O, Bassett D,R. Accuracy and Reliability of 10 Pedometers for measuring steps over a 400m walk. Medical Science Sports Exercise 2003; 35 (10) 1779-84. Stanley F, Blair E, Alberman E. Cerbral Palsies: Epidemiology and Causal Pathways. (2000) Clinics in Developmental Medicine No. 151. Mac Keith Press, London. Sutherland DH, Davids JR. Common gait abnormalities of the knee in cerebral palsy. Clinical Orthpaedics 1993;288:139-47. van den Berg-Emons H.J, Bussman JB, Balk A.H, Stam H.J. Validity of ambulatory accelerometry to quantify physical activity in heart failure. Scandinavian Journal of Rehabilitation Medicine 2000; 32(4):187-192 Walker D.J, Heslop P.S, Plummer C.J, Essex T, Chandler S. A continuous patient activity monitor: validation and relation to disability. Physiol Meas 1997:18(1):49-59 Wall J.C, Charteris M.S, Turnbull G.I: Two steps equals one stride equals what? The applicability of normal gait nomenclature to abnormal walking patterns. Clinical Biomechanics 1987; 2 No3: 119-125 Welk GJ, Corbin CB, Dale D. Measurement issues in the assessment of Physical Activity in Children. Research Quarterly for Exercise and Sport 2000, (71) 2 59-73. Whittle MW Normal Ranges for Gait Parameters in Gait Analysis: an introduaction, 3rd edition (2002), Butterworth-Heinemann, Oxford, ISBN 0 7506 5262 4, Appendix 1. Whiting-O’Keefe Q.E., Henke C, Simborg DW. Choosing the correct unit of analysis in medical care experimrnts. Med Care 1984;22:1101-14 Winters T, Hicks TSR, Gage J. Gait patterns in spastic hemiplegia in children and young adults. Journal of Joint and Bone Surgery; 1987 69-A: 437-441. Wood E, Roseburn P. The Gross Motor Function Classification System for cerebral palsy: A study of reliability and stability over time. Dev. Med. Child Neurology 2000;42: 292-6 Young N.L, Ivan J, WilliamsD.E, Yoshida K.K and James G.Wright. Measurement Properties of the Activities Scale for Kids. Journal of Clinical Epidemiology 2000 53 (2): 125-137|
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