Towards the system-wide implementation of the International Classification of Functioning, Disability and Health in routine clinical practice: Empirical findings of a pilot study from mainland China

Journal of Rehabilitation Medicine

Volumn 48, Issue 6, 2016, Pages 515-521

  Reinhardt, Jan D ^a,b,c   Zhang, Xia ^d,e   Prodinger, Birgit ^b,c,f   Ehrmann Bostan, Cristina ^b,c   Selb, Melissa ^b,f   Stucki, Gerold ^b,c,f   Li, Jianan ^d,e  

^a SICHUAN UNIVERSITY   (China)

^b SWISS PARAPLEGIC RESEARCH   (Switzerland)

^c UNIVERSITY OF LUCERNE   (Switzerland)

^d NANJING MEDICAL UNIVERSITY   (China)

^e Division of Preventive Medicine   (China)

^f Centre for the Family of International Classifications in Germany (at DIMDI)   (Switzerland)

Author keywords

Functional status; ICF; Psychometrics; Rasch analysis; Sensitivity to change

Indexed keywords

ADULT; CHINA; CLASSIFICATION; DAILY LIFE ACTIVITY; DISABILITY; DISABLED PERSON; HUMAN; INTERNATIONAL CLASSIFICATION OF FUNCTIONING, DISABILITY AND HEALTH; PILOT STUDY; PROSPECTIVE STUDY; REHABILITATION;

ACTIVITIES OF DAILY LIVING; ADULT; CHINA; DISABILITY EVALUATION; DISABLED PERSONS; HUMANS; INTERNATIONAL CLASSIFICATION OF FUNCTIONING, DISABILITY AND HEALTH; PILOT PROJECTS; PROSPECTIVE STUDIES;

EID: 84974559704     PISSN: 16501977     EISSN: None     Source Type: Journal    
DOI: 10.2340/16501977-2102     Document Type: Article

References (35)

1. Stucki G, Kostanjsek N, Ustün B, Cieza A. ICF-based classification and measurement offunctioning. Eur J Phys Rehab Med 2008;44:315.
2. Cieza A, Stucki G. Understanding functioning, disability, and health in rheumatoid arthritis: the basis for rehabilitation care. Curr Opin Rheumatol 2005;17:183-189.
3. Clohan DB, Durkin EM, Hammel J, Murray P, Whyte J, Dijkers M, et al. Postacute rehabilitation research and policy recommendations. Arch Phys Med Rehabil 2007;88:1535-1541.
4. Madden R, Marshall R, Race S. ICF and casemix models for healthcare funding: use of the WHO family of classifications to improve casemix. Disabil Rehabil 2013;35:1074-1077.
5. Hopfe M, Marshall R, Riewpabioon W, Tummers J, Kostanjsek N, Üstün B. Improving casemix systems by integrating functioning information. Proceedings of the WHO-FIC Annual Meeting; Cape Town, South Africa, 2011.
6. Kostanjsek N, Rubinelli S, Escorpizo R, Cieza A, Kennedy C, Selb M, et al. Assessing the impact of health conditions using the ICF. Disabil Rehabil 2011;33:1475-1482.
7. Kostanjsek N, Escorpizo R, Boonen A, Walsh NE, Üstün TB, Stucki G. Assessing the impact of musculoskeletal health conditions using the International Classification of Functioning, Disability and Health. Disabil Rehabil 2011;33:1281-1297.
8. Stucki G, Qiu Z, Li J, Li J, Wu X. Towards the system wide implementation of the ICF in rehabilitation in China. Chin J Rehabil Theory Pract 2011;17:5-10.
9. World Health Organization. International Classification of Functioning, Disability and Health: ICF. Geneva: World Health Organization; 2001.
10. Cieza A, Stucki G. The International Classification of Functioning Disability and Health: its development process and content validity. Eur J Phys Rehab Med 2008;44:303-313.
11. Escorpizo R, Kostanjsek N, Kennedy C, Robinson Nicol MM, Stucki G, Ustun TB. Harmonizing WHO's International Classification of Diseases (ICD) and International Classification of Functioning, Disability and Health (ICF): importance and methods to link disease and functioning. BMC Public Health 2013;13:742.
12. Selb M, Escorpizio R, Kostanjsek N, Stucki G, Ustün B, Cieza A. A guide on how to develop an international classification of functioning, disability and health core set. Eur J Phys Rehabil Med 2014;51:105-117.
13. Cieza A, Oberhauser C, Bickenbach J, Chatterji S, Stucki G. Towards a minimal generic set of domains of functioning and health. BMC Public Health 2014;14:218.
14. Fischer GH, Molenaar I, editors. Rasch models - foundations, recent developments, and applications. New York: Springer; 1995.
15. Christensen KB, Kreiner S, Mesbah M, editors. Rasch models in health. London, UK: Wiley; 2012.
16. Reise SP, Morizot J, Hays RD. The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Qual Life Res 2007;16:19-31.
17. Jennrich RI, Bentler PM. Exploratory bi-factor analysis. Psychometrika 2011;76:537-549.
18. Brown TA. Confirmatory factor analysis for applied research. New York: Guilford Press; 2006.
19. R Development Core Team. R: a language and environment for statistical computing. Vienna; 2011. Available from: http://www. R-project.org.
20. Andrich D, Sheridan B, Luo G. Rasch models for measurement: RUMM2030. Perth, Western Australia; 2010.
21. Masters GN. A Rasch model for partial credit scoring. Psychometrika 1982;47:149-174.
22. Wright BD, Masters GN. Rating scale analysis. Chicago: MESA Press; 1982.
23. Andrich D. Rasch models for measurement. Sage university paper series on quantitative applications in the social sciences, series number 07/068. Newbury Park, California: Sage Publications; 1988.
24. Yen WM. Effects of local item dependence on the fit and equating performance of the three-parameter logistic model. Appl Psychol Meas 1984;8:125-145.
25. Christensen KB, Makransky G, Horton M. Critical values for Yen's Q3: Identification of local dependence in the Rasch model using residual correlations. Copenhagen: University of Copenhagen, Department of Biostatistics; 2015.
26. Wainer H, Kiely GL. Item clusters and computer adaptive testing: a case for testlets. J Educ Meas 1987;24:185-210.
27. Andrich D. Item discrimination and Rasch-Andrich thresholds revisited. Rasch Meas Transact 2006;20:1055-1057.
28. Smith EV, Jr. Detecting and evaluating the impact of multidimensionality using item fit statistics and principal component analysis of residuals. J Appl Meas 2002;3:205-231.
29. Bond TG, Fox CM. Applying the Rasch Model: fundamental measurement in the human sciences (2nd edition). Mahwah, New Jersey: Lawrence Erlbaum Associates; 2007.
30. Andrich D. An index of person separation in latent trait theory, the traditional KR.20 index, and the Guttman scale response pattern. Educ Res Perspect 1982;9:95-104.
31. Mallinson T. Rasch Analysis of repeated measures. Rasch Meas Transact 2011;25:1317.
32. Cohen JE. Statistical power analysis for the behavioral sciences (2nd edn). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.; 1988.
33. Selya AS, Rose JS, Dierker LC, Hedeker D, Mermelstein RJ. A Practical guide to calculating Cohen's f (2), a measure of local effect size, from PROC MIXED. Front Psychol 2012;3:111.
34. Loeser JD, Treede RD. The Kyoto protocol of IASP basic pain terminology. Pain 2008;137:473-477.
35. Angst F, Aeschlimann A, Stucki G. Smallest detectable and minimal clinically important differences of rehabilitation intervention with their implications for required sample sizes using WOMAC and SF-36 quality of life measurement instruments in patients with osteoarthritis of the lower extremities. Arthritis Rheum 2001;45:384-391.