Related Experiment Video
Updated: Aug 23, 2025
Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
Published on: February 8, 2019
Unlocking the black box of geriatric physiotherapy : Quantification of physical activity and walking parameters
Marios Stefanakis1, Vasiliki Sakellari2, Jochen Klenk3,4
1Physiotherapy Department, University of West Attica, 12243, Egaleo, Athens, Greece. stefanakis48@gmail.com.
Background:
Physiotherapy and occupational therapy are currently described using the duration of treatment (days or weeks), the frequency of therapy sessions (on a daily or 3-5 days per week basis) and considering the duration of a session (e.g., 30 or 45 min). The content is often poorly defined and the intensity is rarely reported. Using digital technology some of these shortcomings can be overcome. The cumulative parameters of walking and activity sessions, the duration of walking, the time spent in an upright or lying/sitting position and the number of steps can now be analyzed. In this study, we examined the parameters during non-treatment periods and therapy time in patients recovering from fragility fractures.
Methods:
The study is a secondary data analysis of a trial that examined the improvement of physical activity (PA) and self-efficacy of fragility fracture patients. Changes in mobility parameters were measured using the ActivPal3 sensor during the 1st and 3rd weeks of rehabilitation and 104 patients were analyzed (mean age 82.5 years). Parameters included the time during supervised treatment, the mean number of steps, cumulative time in an upright position and walking duration, the number of walking intervals of > 10 s and sit to stand transfers.
Results:
Patients received 3-4 therapy sessions adding up to 90-120 min per day. More than 50% of the daily walking activities were achieved in these sessions until discharge. With this amount of therapeutic input most parameters meaningfully improved from baseline to the second measurement. The number of steps increased by 30%, the mean time in an upright position increased by 26% and the mean time spent walking increased by 49%.
Conclusion:
The sensor-derived measurements describe the amount of walking activity administered during the supervised therapy sessions. This could be used as a starting point for future trials to improve the outcomes or as a standard of process evaluation for clinical services.
