How can hospital associated disabilities be reduced?
Knowledge database Human Patient-centred approach B.2: Hospital in Motion - Preventing complications through activity monitoring in hospitalThere is now increasing evidence that hospitalisation can have a negative impact on health, especially in older patients. Impairment of functioning that occurs during hospitalisation or worsens after hospitalisation is referred to as Hospital Associated Disability (HAD) (Chou et al., 2021).
Problem description, research question and relevance
Almost one million people are hospitalised once a year in Switzerland, half of whom are over 65 years old (Federal Statistical Office, 2021). 50% of patients with 21 or more days of hospitalisation are hospitalised up to four times within two years (Federal Statistical Office, 2021), with an average length of stay of 5.3 days.
In view of demographic trends (Federal Statistical Office, 2021), hospital admissions of elderly and chronically ill patients will continue to increase in the future, both throughout Switzerland and at the University Hospital Basel (USB). This will increase the potential for long-term patients and multiple admissions and highlights the increased need for efficient and effective treatment methods for the corresponding population. In addition, because the corresponding population can be associated with an increase in costs (Berry-Millett & Bodenheimer, 2009; Motzek et al., 2017). Initial data from Switzerland shows that around 17.5 % of patients no longer regain their functional status on discharge from hospital, which may be the reason for the problems described above (D'Onofrio et al., 2018). Older hospitalised patients in particular have a pre-existing risk of poor functional outcome in the areas of ability to act and function and/or complications acquired during hospitalisation, known as HAD (Loyd et al., 2020). If these functional limitations are not recovered, this can lead to a "post-hospital syndrome", an increased vulnerability of older patients after hospitalisation. At the centre of this is the risk of developing a further medical problem within three months (Krumholz, 2013), which leads to re-admission to hospital in around 20 % of cases (Dharmarajan & Krumholz, 2015). The figure below (Figure 1) illustrates the cycle described above.
One of the triggering factors that can lead to HAD is lack of exercise. Lack of exercise among hospitalised patients is a common problem that often causes complications and impairs recovery. As general fitness and activity are not the responsibility of a specific professional, physical fitness and activity are not systematically recorded and patients are usually not encouraged to undertake the necessary activity. The prevalence of inactivity and its negative impact on the recovery process emphasises the urgency of promoting and monitoring physical activity during hospitalisation. The preliminary findings from the observation of the movement behaviour of patients in the USB, in which an average of 88.4% of the time was spent lying down or sitting, confirm the need for such an approach.
Methods and procedures in the project
As part of the SHIFT project "Hospital in Motion" (B.2), an innovative approach to systematically recording and monitoring patients' physical activity and mobility using wearables was developed in the pilot study. This revealed significant findings on the feasibility and effectiveness of using activity sensors in a clinical setting. Wearables can be used to record patients' activity and motivate them to exercise, thereby reducing the risk of HAD.
The "Hospital in Motion" project (B.2) aims to validate the newly developed algorithms through measurements on the ankle and thus create the basis for the overarching goal of reducing HAD through lack of exercise.
In the future, the use of wearables is to be implemented in everyday hospital practice. Activity data is to be made accessible to patients by means of an application-based visualisation. Health professionals should be able to access the data via a dashboard in order to coordinate and integrate treatment and therapy with the recorded activity.
Results and findings
- Results of the pilot study: It has been shown that the use of activity sensors during hospitalisation is possible. This can be used to optimise therapy and care and increase patient comfort. The study also showed that the ankle is the best place to wear activity sensors.
- Heterogeneous data: Due to the large number of different patients and clinical pictures, a general solution must be developed that can be implemented in everyday hospital life.
- Device hub: There are already sports and fitness watches from various manufacturers that can track activity (number of steps, etc.). In a clinical context, however, a device hub is required to ensure full control and transparency of the data.
- Stakeholders: Incorporating the needs of all steakholders (health professionals, patients and relatives) poses a challenge.
Recommendations for practice
- Ankle: the ankle is the favoured wearing position for activity tracking.
- Provide infrastructure as a hospital.
- Integrate wearables into everyday clinical practice (implementation).
- Hospital culture: change the hospital culturewith regard to promoting physical activity as a nursing, therapeutic intervention.
- Motivation of patients: Using an app-based display of activity data, patients should be motivated to move more.
Literature and other sources
Berry-Millett, R., & Bodenheimer, T. S. (2009). Care management of patients with complex health care needs. The Synthesis Project. Research Synthesis Report, 19. doi.org/52372
Federal Statistical Office. (2021). Persons with a high number of hospitalisation days - Medical statistics of hospitals 2017-2019 | Publication. In Federal Statistical Office. www.bfs.admin.ch/bfs/de/home/statistiken/kataloge-datenbanken/publikationen.assetdetail.16324078.html
Chou, M. Y., Liang, C. K., Hsu, Y. H., Wang, Y. C., Chu, C. S., Liao, M. C., Chiu, C. F., Chou, M. H., Chen, L. K., & Lin, Y. Te. (2021). Developing a predictive model for hospital-associated disability among older patients hospitalised for an acute illness: the HAD-FREE Score. European Geriatric Medicine, 0123456789. doi.org/10.1007/s41999-021-00497-1
D'Onofrio, A., Büla, C., Rubli, E., Butrogno, F., & Morin, D. (2018). Functional trajectories of older patients admitted to an Acute Care Unit for Elders. International Journal of Older People Nursing, 13(1). doi.org/10.1111/opn.12164
Dharmarajan, K., & Krumholz, H. M. (2015). Risk after hospitalisation: We have a lot to learn. Journal of Hospital Medicine, 10(2), 135-136. doi.org/10.1002/jhm.2309
Guilcher, S. J. T., Everall, A. C., Cadel, L., Li, J., & Kuluski, K. (2021). A qualitative study exploring the lived experiences of deconditioning in hospital in Ontario, Canada. BMC Geriatrics, 21(1), 1-9. doi.org/10.1186/s12877-021-02111-2
Krumholz, H. M. (2013). Post-Hospital Syndrome - An Acquired, Transient Condition of Generalised Risk. New England Journal of Medicine, 368(2), 100-102. doi.org/10.1056/NEJMp1212324
Loyd, C., Markland, A. D., Zhang, Y., Fowler, M., Harper, S., Wright, N. C., Carter, C. S., Buford, T. W., Smith, C. H., Kennedy, R., & Brown, C. J. (2020). Prevalence of Hospital-Associated Disability in Older Adults: A Meta-analysis. Journal of the American Medical Directors Association, 21(4), 455-461.e5. doi.org/10.1016/j.jamda.2019.09.015
Motzek, T., Junge, M., & Marquardt, G. (2017). Influence of dementia on length of stay and revenue in acute care hospitals. Journal of Gerontology and Geriatrics, 50(1), 59-66. doi.org/10.1007/s00391-016-1040-2