Evidence Based Approach
Measuring and validating the efficiency of coaching is essential for us. Measurements and indicators can be developed at different levels. They can be utilized for quantifying the change in health and wellness before and after a personalized coaching process. Concrete measures can increase motivation and make the follow-up of change process more objective. However, measurements should not be done just for the sheer joy of measuring. Instead of collecting “nice-to-know” data we want to develop the right measures done at the right time, and for the right reasons. Our development work is done in close collaboration with leading independent research organizations.
Research Projects
Dagiswork (2016 - 2018)
The goal of Dagiswork project was to develop a new model for reducing work-related stress of people working in children’s daycare. In addition the project studies the usage and role of ICT technology in promoting health and wellness and lifestyle change. The goal was to understand to whom and for which type of changes the technology solutions fit best.
Project was a collaborative effort between Occupational Health Center Finland, University of Helsinki and Movendos.
Digitano – Wellbeing in Remote Work (2016 - 2018)
DigiTANO – Digitally supported methods for occupational health care for giving information, help and guidance for mobile and remote work employees. Movendos offered its technology solutions for the project. The goal was to develop processes and tools for improving and maintaining wellbeing of people doing remote and mobile work.
Project was funded by the Finnish Work Environment Fund.
Project partners were Aalto University, Turku Polytechnic, Occupational Health Center, ABB, Diacor, Nordea and Movendos.
Tempo – Paths to the Working Life (2015-2018)
TEMPO project aimed to support the employment and return to working life of people, who have a limited ability to work due to health related or social reasons. Support and coaching in the project was done by Movendos mCoach remote coaching solution. Project was funded by the European Fund for Social Development and the Finnish Ministry of Health and Welfare. Project partners are Finnish Rehabilitation Fund, Tampere University School of Management, Apila Rehabilitation Center and Kiipula Rehabiliation Center.
Sitra Impact Accelerator Program
Spring 2016 we participated in the social impact accelerator program organized by SITRA (The Finnish Innovation Fund). In our blog we describe our experiences about the program and how to model and measure effectiveness and impact. In addition to research programs described in this page, we are also participating in several Kela funded projects developing solutions for remote rehabilitation. Kela is the Social Insurance Institution of Finland.
With-Me: Remote Coaching for Wellbeing at Work (2013 -2016)
With-Me project developed and piloted solutions for remote health coaching and for motivating people towards change for a healthier lifestyle. Project was a collaborative European effort including companies and research institutes from Finland, Belgium and Spain. Tampere University of Technology (TUT) was responsible for building a pilot remote coaching solution for reducing the effects of work-related stress. Movendos mCoach was used as the platform for the pilot. Results of the study were published 2016-2017.
Finnish consortium included TUT, VTT, Mawell O, Mawell Care Oy, Firstbeat Oy, and Modeconsult Oy.
International partners were Atos, Tecnalia, Inabensa, RGB, Cimne, IBV, TNO, Ariadna, Sirris, Vitalsys, HIG, BioRICS, and Ready2Improve.
Cardiac Rehabilitation (2015-2017)
In the project mCoach was utilized for the remote group coaching of cardiac patients during the rehabilitation process. Goal of the research was to assess the effect of remote coaching to the wellbeing and everyday activity of the patients.
Research was done by the University of Jyväskylä and Peurunka Rehabilitation Center.
Publications
"Mobile Solution for Increasing the Efficiency of Health Coaching for Preventative Health Care and Chronic Disease Management." Nieminen, Hannu, et al. (2013)
"Health figures: an open source JavaScript library for health data visualization" Ledesma, Andres et al. (2016)
”Implementation and user testing of a system for visualizing continuous health data and events.” Al-Musawi, Ledesma et al.. In 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (pp. 156-159).
