The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Measuring the impact of MS on walking ability: The 12-Item MS Walking Scale (MSWS-12)
Abstract
OBJECTIVE: To develop a patient-based measure of walking ability in MS. METHODS: Twelve items describing the impact of MS on walking (12-Item MS Walking Scale [MSWS-12]) were generated from 30 patient interviews, expert opinion, and literature review. Preliminary psychometric evaluation (data quality, scaling assumptions, acceptability, reliability, validity) was undertaken in the data generated by 602 people from the MS Society membership database. Further psychometric evaluation (including comprehensive validity assessment, responsiveness, and relative efficiency) was conducted in two hospital-based samples: people with primary progressive MS (PPMS; n = 78) and people with relapses admitted for IV steroid treatment (n = 54). RESULTS: In all samples, missing data were low (< or =3.8%), item test-retest reproducibility was high (> or =0.78), scaling assumptions were satisfied, and reliability was high (> or =0.94). Correlations between the MSWS-12 and other scales were consistent with a priori hypotheses. The MSWS-12 (relative efficiency = 1.0) was more responsive than the Functional Assessment of Multiple Sclerosis mobility scale (0.72), the 36-Item Short Form Health Survey physical functioning scale (0.33), the Expanded Disability Status Scale (0.03), the 25-ft Timed Walk Test (0.44), and Guy's Neurologic Disability Scale lower limb disability item (0.10). CONCLUSIONS: The MSWS-12 satisfies standard criteria as a reliable and valid patient-based measure of the impact of MS on walking. In these samples, the MSWS-12 was more responsive than other walking-based scales.
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Cites
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS)
Kurtzke, J. F. (1983) · Neurology · doi:10.1212/wnl.33.11.1444 · Cited by 15,011
Construct validity in psychological tests.
Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195
McHorney, C. A., Ware, J. E., Rachel Lu, J. F., & Sherbourne, C. D. (1994) · Medical Care · doi:10.1097/00005650-199401000-00004 · Cited by 4,458
The MOS Short-form General Health Survey: Reliability and Validity in a Patient Population
Stewart, A. L., Hays, R. D., & Ware, J. E. (1988) · Medical Care · doi:10.1097/00005650-198807000-00007 · Cited by 3,339
Effect Sizes for Interpreting Changes in Health Status
Kazis, L. E., Anderson, J. J., & Meenan, R. F. (1989) · Medical Care · doi:10.1097/00005650-198903001-00015 · Cited by 2,401
Individual-patient monitoring in clinical practice: are available health status surveys adequate?
McHorney, C. A., & Tarlov, A. R. (1995) · Quality of Life Research · doi:10.1007/bf01593882 · Cited by 2,206
Cited by
Learmonth, Y. C., Motl, R. W., Sandroff, B. M., Pula, J. H., & Cadavid, D. (2013) · BMC Neurology · doi:10.1186/1471-2377-13-37 · Cited by 773
Hobart, J., & Cano, S. (2009) · Health Technology Assessment · doi:10.3310/hta13120 · Cited by 621
Self-citationHobart, J. C., Cano, S. J., Zajicek, J. P., & Thompson, A. J. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70290-9 · Cited by 495
Self-citationPsychometric properties of the Fatigue Severity Scale and the Modified Fatigue Impact Scale
Learmonth, Y. C., Dlugonski, D., Pilutti, L. A., Sandroff, B. M., Klaren, R., & Motl, R. W. (2013) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2013.05.023 · Cited by 349
Balance, gait, and falls in multiple sclerosis
(2018) · Handbook of Clinical Neurology · doi:10.1016/b978-0-444-63916-5.00015-x · Cited by 271
Metadata
- Authors
- Hobart, J. C., Riazi, A., Lamping, D. L., Fitzpatrick, R., & Thompson, A. J.
- Venue
- Neurology
- Published
- 2003-01-14
- Volume
- 60
- Issue
- 1
- Pages
- 31-36
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2143567192
- Cited by
- 821
- References
- 7
- FWCI
- 5.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hobart, J. C., Riazi, A., Lamping, D. L., Fitzpatrick, R., & Thompson, A. J. (2003). Measuring the impact of MS on walking ability: The 12-Item MS Walking Scale (MSWS-12). Neurology. https://doi.org/10.1212/wnl.60.1.31
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