Background: Geriatric rehabilitation positively influences health outcomes in older adults after acute events. Integrating mobile health (mHealth) technologies with geriatric rehabilitation may further improve outcomes by increasing therapy time and independence, potentially enhancing functional recovery. Previous reviews have highlighted positive outcomes but also the need for further investigation of populations receiving geriatric rehabilitation. Objective: Our main objective was to assess the effects of mHealth applications on the health status of older adults after acute events. A secondary objective was to examine the structure and process elements reported in these studies. Methods: Systematic review, including studies from 2010 to January 2024. Studies were eligible if they involved older adults’ post-acute care and used mHealth interventions, measured health outcomes and compared intervention and control groups. The adjusted Donabedian Structure-Process-Outcome (SPO) framework was used to present reported intervention processes and structures. Results: After initial and secondary screenings of the literature, a total of nine studies reporting 26 health outcomes were included. mHealth interventions ranged from mobile apps to wearables to web platforms. While most outcomes showed improvement in both the intervention and control groups, a majority favored the intervention groups. Reporting of integration into daily practice was minimal. Conclusion: While mHealth shows positive effects on health status in geriatric rehabilitation, the variability in outcomes and methodologies among studies, along with a generally high risk of bias, suggest cautious interpretation. Standardized measurement approaches and co-created interventions are needed to enhance successful uptake into blended care and keep geriatric rehabilitation accessible and affordable.
In order to overcome cancer-related problems and to improve quality of life, an intensive multi-focus rehabilitation programme for cancer patients was developed. We hypothesised that this six-week intensive rehabilitation programme would result in physiological improvements and improvement in quality of life. Thirty-four patients with cancer-related physical and psychosocial problems were the subjects of a prospective observational study. A six-week intensive multi-focus rehabilitation programme consisted of four components: individual exercise, sports, psycho-education, and information. Measurements (symptom-limited bicycle ergometry performance, muscle force and quality of life [RAND-36, RSCL, MFI]) were performed before (T0) and after six weeks of rehabilitation (T1). After the intensive rehabilitation programme, statistically significant improvements were found in symptom-limited bicycle ergometry performance, muscle force, and several domains of the RAND-36, RSCL and MFI. The six-week intensive multi-focus rehabilitation programme had immediate beneficial effects on physiological variables, on quality of life and on fatigue.
In order to overcome cancer-related problems and to improve quality of life, an intensive multi-focus rehabilitation programme for cancer patients was developed. We hypothesised that this six-week intensive rehabilitation programme would result in physiological improvements and improvement in quality of life. Thirty-four patients with cancer-related physical and psychosocial problems were the subjects of a prospective observational study. A six-week intensive multi-focus rehabilitation programme consisted of four components: individual exercise, sports, psycho-education, and information. Measurements (symptom-limited bicycle ergometry performance, muscle force and quality of life [RAND-36, RSCL, MFI]) were performed before (T0) and after six weeks of rehabilitation (T1). After the intensive rehabilitation programme, statistically significant improvements were found in symptom-limited bicycle ergometry performance, muscle force, and several domains of the RAND-36, RSCL and MFI. The six-week intensive multi-focus rehabilitation programme had immediate beneficial effects on physiological variables, on quality of life and on fatigue.
Low back pain is the leading cause of disability worldwide and a significant contributor to work incapacity. Although effective therapeutic options are scarce, exercises supervised by a physiotherapist have shown to be effective. However, the effects found in research studies tend to be small, likely due to the heterogeneous nature of patients' complaints and movement limitations. Personalized treatment is necessary as a 'one-size-fits-all' approach is not sufficient. High-tech solutions consisting of motions sensors supported by artificial intelligence will facilitate physiotherapists to achieve this goal. To date, physiotherapists use questionnaires and physical examinations, which provide subjective results and therefore limited support for treatment decisions. Objective measurement data obtained by motion sensors can help to determine abnormal movement patterns. This information may be crucial in evaluating the prognosis and designing the physiotherapy treatment plan. The proposed study is a small cohort study (n=30) that involves low back pain patients visiting a physiotherapist and performing simple movement tasks such as walking and repeated forward bending. The movements will be recorded using sensors that estimate orientation from accelerations, angular velocities and magnetometer data. Participants complete questionnaires about their pain and functioning before and after treatment. Artificial analysis techniques will be used to link the sensor and questionnaire data to identify clinically relevant subgroups based on movement patterns, and to determine if there are differences in prognosis between these subgroups that serve as a starting point of personalized treatments. This pilot study aims to investigate the potential benefits of using motion sensors to personalize the treatment of low back pain. It serves as a foundation for future research into the use of motion sensors in the treatment of low back pain and other musculoskeletal or neurological movement disorders.
