Abstract
Introduction
The de Morton Mobility Index (DEMMI) is a unidimensional clinical instrument proven reliable and valid for measuring mobility in the elderly, but its responsiveness has not been evaluated when applying the methodology recommended by COSMIN.
Purpose
To evaluate the responsiveness and the predictive validity of the DEMMI.
Materials and methods
Elderly people, referred for municipality-based rehabilitation, were consecutively included. Eight hypotheses regarding the relationship between the change scores in the DEMMI and other functional measures of mobility were tested by assessing the participants before and after rehabilitation. Three months after completing the rehabilitation, the participants’ functional status was evaluated.
Results
250 elderly people (mean age 85 years, 63% women) were included. The change scores in the DEMMI and the other measures correlated (r = 0.422 to 0.547), but only three out of the eight hypotheses were confirmed. A DEMMI score of less than 48 and less than 67 can predict inability of ambulating close to the participant’s residence and using public transport, respectively.
Conclusions
We found a moderate responsiveness and a high predictive validity of the DEMMI score. The DEMMI appears to be an appropriate instrument for monitoring change in mobility and predicting functional status among elderly patients undergoing rehabilitation.
The de Morton Mobility Index (DEMMI) is a clinical instrument for measuring mobility.
This study shows that the DEMMI was responsive to change in mobility and predicted disability among a diverse group of elderly individuals referred to rehabilitation after hospital discharge.
The DEMMI is applicable as an outcome measure in trials investigating the effect of rehabilitation and for clinical decision-making concerning geriatric rehabilitation.
Implications for rehabilitation
Disclosure statement
The authors declare no potential conflict of interest in the conduct or reporting of this work.
Acknowledgments
The authors wish to thank the physiotherapists who were responsible for data acquisition: Sanni Topholm Janum, Helle Rolighed Larsen and Anna Hilleborg Karkov Sass, Malene Hartwich, Mai Marie Nielsen, Anders Rudolph and Anne Mette Krogh Jacobsen, Jonas Hjortshøj, Mona Lynge Bonde, Laura Hermansen, Louise Lykke Wiuff, Cathrine Kjeldgaard Clausen, Mette Dalsgaard Christiansen, Jesper Peters, Camilla Jørgensen Hermansen and Liv Jensen.