Acknowledgements
We thank all of the patients who participated in this trial and the investigators of the included long-term care facilities. This article was subsidized by National Taiwan University (NTU), Taiwan.
References
1. Katalinic OM, Harvey LA, Herbert RD. Effectiveness of Stretch for the Treatment and Prevention of Contractures in People With Neurological Conditions: A Systematic Review. Phys. Ther. 2011;91:11–24. https://doi.org/10.2522/ptj.20100265
2. Harrington C, Carrillo H, Garfield R, Musumeci MB, Squires E. Nursing facilities, staffing, residents and facility deficiencies, 2009 through 2016. Resource document. Kaiser Family Foundation; 2018. http://files.kff.org/attachment/REPORT-Nursing-Facilities-Staffing-Residents-and-Facility-Deficiencies-2009-2016. Accessed 22 January 2020.
3. Fergusson D, Hutton B, Drodge A. The epidemiology of major joint contractures: a systematic review of the literature. Clin. Orthop. Rel. Res. 2007;456:22-29. http://search.ebscohost.com/login.aspx?direct=true&db=cin20&AN=105856760&site=ehost-live&scope=site. Accessed June 3, 2020.
4. Harvey L, Herbert R, Crosbie J. Does stretching induce lasting increases in joint ROM? A systematic review. Physiotherapy Research International 2002;7:1. https://doi.org/10.1002/pri.236
5. Bartoszek G, Fischer U, von Clarenau SC, et al. Development of an International Classification of Functioning, Disability and Health (ICF)-based standard set to describe the impact of joint contractures on participation of older individuals in geriatric care settings. Archives of Gerontology & Geriatrics. 2015;61:61-66. doi:10.1016/j.archger.2015.03.005.
6. Fischer U, Müller M, Strobl R, Bartoszek G, Meyer G, Grill E. Examining Functioning and Contextual Factors in Individuals with Joint Contractures from the Health Professional Perspective Using the ICF: An International Internet-Based Qualitative Expert Survey. Rehabil. Nurs. 2016;41:170-178. doi:10.1002/rnj.190.
7. Portegijs E, Rantakokko M, Mikkola TM, Viljanen A, Rantanen T. Association between physical performance and sense of autonomy in outdoor activities and life‐space mobility in community‐dwelling older people. J. Am. Geriatr. Soc. 2014;62:615–621. https://doi.org/10.1111/jgs.12763
8. Kehyayan V, Hirdes JP, Tyas SL, Stolee P. Residents’ self-reported quality of life in long-term care facilities in Canada. Can J Aging. 2015;34:149–164. https://doi.org/10.1017/S0714980814000579
9. The World Health Organization Quality of Life assessment [WHOQOL]: Development and general psychometric properties. Soc. Sci. Med. 1998;46:1569–1585.
10. Chen Y-C, Lin K-C, Wu C-Y, Chen C-J, Hsieh Y-W. Determinants of quality of life in the older residents of long-term care facilities using the world health organization international classification of functioning, disability and health framework in Taiwan. Disabil. Rehabil. 2019:1-9. doi:10.1080/09638288.2018.1559888.
11. Rantanen T. Äyräväinen I, Eronen J, Lyyra T, Törmäkangas T, Vaarama M, et al. The effect of an outdoor activities’ intervention delivered by older volunteers on the quality of life of older people with severe mobility limitations: a randomized controlled trial. Aging Clin. Exp. Res. 2015;27:161–169. https://doi.org/10.1007/s40520-014-0254-7
12. Müller M, Oberhauser C, Fischer U, Bartoszek G, Saal S, Strobl R, et al. The PaArticular Scales—A new outcome measure to quantify the impact of joint contractures on activities and participation in individuals in geriatric care: Development and Rasch analysis. Int. J. Nurs. Stud. 2016;59:107–117. https://doi.org/10.1016/j.ijnurstu.2016.04.002
13. Gold LH. DSM-5 and the assessment of functioning: The World Health Organization Disability Assessment Schedule 20 (WHODAS 20). J. Am. Acad. Psychiatry Law 2014;42:173–181.
14. Tabachnick BG, Fidell LS. Using multivariate statistics . Boston: Allyn and Bacon; 2001.
15. Tinsley HE, Tinsley DJ. Uses of factor analysis in counseling psychology research. J. Couns. Psychol. 1987;34:414–424. https://doi.org/10.1037/0022-0167.34.4.414
16. Cohen J, Cohen P, West S, Aiken LS. Applied multiple regression/correlation analysis for the behavioral sciences. 3rd ed. Mahwah: Lawrence Erlbaum Associates Publishers; 2003. https://b-ok.cc/book/830038/6b618a. Accessed 25 June 2019.
17. Hoang PD, Gandevia SC, Herbert RD. Prevalence of joint contractures and muscle weakness in people with multiple sclerosis. Disabil. Rehabil. 2014;36:1588–1593. https://doi.org/10.3109/09638288.2013.854841
18. Kwah LK, Harvey LA, Diong JHL, Herbert RD. Half of the adults who present to hospital with stroke develop at least one contracture within six months: an observational study. J. Physiother.2012:58:41–47. https://doi.org/10.1016/S1836-9553(12)70071-1
19. InterRAI Country Websites. Long-Term Care Facilities (LTCF). Resource document. InterRAI; 2006. http://www.interrai.org/long-term-care-facilities.html. Accessed January 22, 2020.
20. Folstein MF, Folstein SE, McHugh PR. Mini-mental state: A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 1975;12:189–198. https://doi.org/10.1016/0022-3956(75)90026-6
21. Yao G, Wu C, Yang C. Examining the content validity of the WHOQOL-BREF from respondents’ perspective by quantitative methods. Soc. Indic. Res. 2008;85:483–498. https://doi.org/10.1007/s11205-007-9112-8
22. Üstün TB, Chatterji S, Kostanjsek N, Rehm J, Kennedy C, Epping-Jordan J, et al. Developing the World Health Organization Disability Assessment Schedule 2.0. Bull. World Health Organ. 2010;88:815–823. https://doi.org/10.2471/BLT.09.067231
23. Virués-Ortega J, de Pedro-Cuesta J, Seijo-Martínez M, Saz P, Sánchez-Sánchez F, Rojo-Pérez F, et al. Prevalence of disability in a composite ≥75 year-old population in Spain: a screening survey based on the International Classification of Functioning. BMC Public Health 2011;11:176. https://doi.org/10.1186/1471-2458-11-176
24. Chiu T-Y, Yen C-F, Chou C-H, et al. Development of traditional Chinese version of World Health Organization disability assessment schedule 2.0 36–item (WHODAS 2.0) in Taiwan: validity and reliability analyses. Res. Dev. Disabil. 2014;35:2812-2820. doi:10.1016/j.ridd.2014.07.009.
25. Yen CF, Hwang AW, Liou TH, Chiu TY, Hsu HY, Chi WC, et al. Validity and reliability of the Functioning Disability Evaluation Scale-Adult Version based on the WHODAS 2.0–36 items. J. Formos. Med. Assoc. 2014;113:839–849. https://doi.org/10.1016/j.jfma.2014.08.008
26. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33:159–174.
27. Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika 1951;16:297-334. doi:10.1007/BF02310555.
28. Revelle W, Zinbarg RE. Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma. Psychometrika 2009;74:145–154.
29. Pett MA, Lackey NR, Sullivan JJ. Making sense of factor analysis: the use of factor analysis for instrument development in health care research. Thousand Oaks: SAGE Publications; 2003.
30. Benazzi F, Akiskal HS. The dual factor structure of self-rated MDQ hypomania: Energized-activity versus irritable-thought racing. J. Affect. Disord. 2003;73:59-64. doi:10.1016/S0165-0327(02)00333-6.
31. Cassidy F, Forest K, Murry E, Carroll BJ. A factor analysis of the signs and symptoms of mania. Arch. Gen. Psychiatry 1998;55:27-32. doi:10.1001/archpsyc.55.1.27.
32. Perugi G, Maremmani I, Toni C, Madaro D, Mata B, Akiskal HS. The contrasting influence of depressive and hyperthymic temperaments on psychometrically derived manic subtypes. Psychiatry Res. 2001;101:249–258. https://doi.org/10.1016/S0165-1781(01)00232-3
33. Serretti A, Rietschel M, Lattuada E, Krauss H, Held T, Nöthen MM, et al. Factor analysis of mania. Arch. Gen. Psychiatry 1999;56:671–672.
34. Sousa KH, Kwok OM. Putting Wilson and Cleary to the test: Analysis of a HRQOL conceptual model using structural equation modeling. Qual. Life Res. 2006;15:725–737. https://doi.org/10.1007/s11136-005-3975-4
35. World Health Organization. International classification of functioning, disability and health: ICF . Geneva: World Health Organization; 2001.
36. Cattell RB. The Scree Test For The Number Of Factors. Multivariate Behav. Res. 1966;1:245-276. doi:10.1207/s15327906mbr0102_10.
37. Cohen J. Statistical power analysis for the behavioral sciences, Rev. ed. Hillsdale: Lawrence Erlbaum Associates, Inc; 1977. https://doi.org/10.1016/C2013-0-10517-X
38. Nunnally JC, Bernstein I. Psychometric theory. New York: Tata McGraw-Hill Education; 1994.