This Article Abstract Free Full Text (Free PDF) Free Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Yu, M. S. W. Articles by Tsim, R. K. M. Search for Related Content PubMed PubMed Citation Articles by Yu, M. S. W. Articles by Tsim, R. K. M. Pubmed/NCBI databases Medline Plus Health Information Nursing Homes Social Bookmarking                         What's this?

Usefulness of the Elderly Mobility Scale for classifying residential placements

Physiotherapy Department, Caritas Medical Center

Chetwyn C. H. Chan

Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, ChetwynChan{at}inet.polyu.edu.hk

Robin K. M. Tsim

Physiotherapy, Our Lady of Maryknoll Hospital, Kowloon, Hong Kong

Background and purpose: To investigate the factor structure and cut-off scores of the Elderly Mobility Scale for making placement decisions in extended care settings.

Subjects: Ninety elderly residents of mean ages ranging from 79.0 to 86.4 years were recruited from homes for the aged (OAH group), and care and attention homes with or without supplemental infirmary care (IS and non-IS groups, respectively).

Methods: The Elderly Mobility Scale was administered to all the residents by five trained practising physiotherapists.

Results: Factor analysis revealed a two-factor structure, with two items into a bed mobility subscale and the other five items into a functional mobility subscale. Significant differences were found in the residents' Elderly Mobility Scale scores among the OAH, non-IS and IS groups. The accuracy of the three cut-off scores based on the five functional mobility items reached 90% for classifying the residents into different placements.

Discussion and conclusion: The findings suggested that Elderly Mobility Scale scores can be better interpreted with the `bed mobility' and `functional mobility' subscales. The high accuracy of classification based on the cut-off scores reflects a good item and construct match of the Elderly Mobility Scale. Our findings support the usefulness of the Elderly Mobility Scale for residential placement of elderly people, which can be generalized to residential settings and post-discharge plans similar to those used in this study.

References

• Taylor EJ Dorland illustrated medical dictionary. WB Saunders Co, 1988.
• Reuben DB, Siu AL, Kimpau S. The predictive ability of self-report and performance-based measures of function and health. J Gerontol 1992; 47: M106—110.[Abstract]
• Prosser L., Canby A. Further validation of the Elderly Mobility Scale for measurement of mobility of hospitalized elderly people. Clin Rehabil 1997; 11: 338—43.[Abstract/Free Full Text]
• Smith R. Validation and reliability of the Elderly Mobility Scale. Physiotherapy 1994; 80: 744—47.
• Yu SW Validity of the Elderly Mobility Scale in placement decision. Unpublished masters thesis. The Hong Kong Polytechnic University, 1998.
• Tsim KM Validity of Elderly Mobility Scale in assessing mobility level of elderly patients in hospitals. Unpublished masters thesis. The Hong Kong Polytechnic University, 1998.
• Dennis JK, McKeough DM Mobility. In May BJ. ed. Home health and rehabilitation: concept of care. FA Davis, 1993: 143—72.
• Sodring KM, Bautz-Holter E., Ljunggren AE, Wyller TB Description and validation of a test of motor function and activities in stroke patients: the Sodring motor evaluation of stroke patients. Scand J Rehabil Med 1995; 27: 211—17.[Web of Science][Medline] [Order article via Infotrieve]
• Haley SM, Ludlow LH, Gans BM, Fass RMT, Inacio CA Tufts Assessment of Motor Performance: an empirical approach to identifying motor performance categories. Arch Phys Med Rehabil 1991; 72: 359—66.[Web of Science][Medline] [Order article via Infotrieve]
• Mauthe RW, Haaf DC, Hayn P., Krall JM Predicting discharge destination of stroke patients using a mathematical model based on six items from the Functional Independent Measure. Arch Phys Med Rehabil 1996; 77: 10—13.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]

Clinical Rehabilitation, Vol. 21, No. 12, 1114-1120 (2007)
DOI: 10.1177/0269215507080789


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This Article Abstract Free Full Text (Free PDF) Free Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Yu, M. S. W. Articles by Tsim, R. K. M. Search for Related Content PubMed PubMed Citation Articles by Yu, M. S. W. Articles by Tsim, R. K. M. Pubmed/NCBI databases Medline Plus Health Information Nursing Homes Social Bookmarking                         What's this?