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Mobility Assessment Tool: Short Form

About

The Mobility Assessment Tool (MAT) is a video-animated tool for assessing self-perception of mobility. Items in the MAT consist of a video and a corresponding measurement item. The videos depict a wooden mannequin performing a wide range of physical activities, and the measurement item consists of a question about the participant’s ability to perform the task, measured on a discrete scale.

The software applications presented here are short forms of the original 81-item instrument described in[1] and [2]. The 10-item instrument is the first short form MAT that was developed. The 12-item instrument includes the 10 items in the 10-item instrument as well as 2 additional items that help to capture a broader range of mobility.

Requirements

The only requirement for the MAT-sf software to run correctly is Java 7 or newer.

Please note: Depending on the speed of your computer, it may take up to a minute between attempting to run the MAT-sf program and the program appearing.

Downloads

Download the version of the test application that is best suited for your computer. Please be sure that Java 7 or newer is installed on your computer.

Technical Information

The MAT-sf software does not include usage documentation and the only technical documentation is the “Design and Implementation” paper in the publications list. The data is automatically saved locally in an XML file in the same folder as the .jar file (scores.xml); this file may be inspected by any technically-proficient user. Beyond displaying the final score upon conclusion of an assessment, the software itself offers no report generation capabilities, though the Scoring Data Viewer does allow previously-completed assessments to be exported as .csv or Excel files for processing in other software.

Note that, while the options menu exposes a feature to enable automatic submission to a remote server, it is disabled by default and would require IT staff at your institution to design, implement, secure, and maintain appropriate infrastructure for this purpose. No software, support, or documentation for this feature is presently available.

 

Publications

  1. Rejeski, W.J., Ip, E., Marsh, A.P., and Barnard, R.T. (2010). Development and Validation of a Video-Animated Tool for Assessing Mobility. J Gerontol A Biol Sci Med Sci, Vol. 65A(6), 664—671.doi:10.1093/gerona/glq055.
  2. Marsh, A.P., Ip, E.I., Barnard, R.T., Wong, Y., and Rejeski, W.J. (2011). Using video animation to assess mobility in older adults. J Gerontol A Biol Sci Med Sci, Vol. 66A(2), 217—227.doi:10.1093/gerona/glq209.
  3. Barnard, R.T., Marsh, A.P., Rejeski, W.J., Pecorella, A., and Ip., E.H. (2013). Design and implementation of the Mobility Assessment Tool: software description. BMC Medical Informatics and Decision Making, 13:73. doi:10.1186/1472-6947-13-73.
  4. Kim, S., Marsh, A.P., Rustowicz, L., Roach, C., Leng, X.I., Kritchevsky, S.B., Rejeski, W.J., and Groban, L. (2016). Self-reported Mobility in Older Patients Predicts Early Postoperative Outcomes after Elective Noncardiac Surgery. Anesthesiology, Vol. 124(4), 815-825.doi:10.1097/ALN.0000000000001011.
  5. Rejeski, W.J., Rushing, J., Guralnik, J.M., Ip, E.H., King, A.C., Manini, T.M., Marsh, A.P., McDermott, M.M., Fielding, R.A., Newman, A.B., Tudor-Locke, C., and Gill, T.M.; LIFE Study Group. (2015). The MAT-sf: identifying risk for major mobility disability. J Gerontol A Biol Sci Med Sci, Vol. 70(5), 641-646. doi:10.1093/gerona/glv003.
  6. Guerra, R.O., Oliveira, B.S., Alvarado, B.E., Curcio, C.L., Rejeski, W.J., Marsh, A.P., Ip, E.H., Barnard, R.T., Guralnik, J.M., and Zunzunegui, M.V. (2015). Validity and applicability of a video-based animated tool to assess mobility in elderly Latin American populations. Geriatr Gerontol Int, Vol. 14(4), 864-873. doi:10.1111/ggi.12180.
  7. Rejeski, W.J., Marsh, A.P., Anton, S., Chen, S.H., Church, T., Gill, T.M., Guralnik, J.M., Glynn, N.W., King, A.C., Rushing, J., and Ip, E.H.; LIFE Research Group. (2013). The MAT-sf: clinical relevance and validity. J Gerontol A Biol Sci Med Sci, Vol. 68(12), 1567-1574. doi:10.1093/gerona/glt068.
  8. Ip, E.H., Rejeski, W.J., Marsh, A.P., Barnard, R.T., and Chen, S.H. (2013). Psychometric properties of a computerized adaptive test for assessing mobility in older adults using novel video-animation technology. Qual Life Res, Vol. 22(8), 1907-1915. doi:10.1007/s11136-012-0346-9.

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