Interdisciplinary and Transdisciplinary Perspectives: On the Road to a Holistic Approach to Dementia Prevention and Care.

 Dementia, of which the most frequent form is Alzheimer's disease, is a chronic and terminal condition with multi-factorial causes and numerous consequences on a patient's life. Combining perspectives from different disciplines seems necessary for unraveling dementia's entangled issues. Current dementia management is a multidisciplinary effort; however, integrating different disciplines as a holistic treatment process is often hindered due to different responsibilities, various conceptual approaches, and distinctive research methods. With this paper, we raise some of the challenges that need to be addressed in order to initiate an interdisciplinary or even transdisciplinary research agenda. We also outline recommendations on how to integrate multiple disciplinary perspectives in dementia care and research. We see opportunities for young investigators to draw from different fields of research in dementia as their research focus is still developing. By establishing common objectives with investigators from other fields, we can pursue the goal of improving treatment and care as a team-meaning accomplishing different tasks but sharing a common purpose. It is necessary to address the communication between fields that limits the understanding of connections between cognitive symptoms, biological processes, treatment, lifestyle, and care giving in order to reach the aim of developing a holistic, person-centered, patient-first approach. Associating biomedical research to field experience from care professionals and the study of human science will promote a more independent, social, and sustainable lifestyle for people with dementia.

Automated Fall Detection Technology in Inpatient Geriatric Psychiatry: Nurses' Perceptions and Lessons Learned.

ABSTRACTHospitalized older adults are at high risk of falling. The HELPER system is a ceiling-mounted fall detection system that sends an alert to a smartphone when a fall is detected. This article describes the performance of the HELPER system, which was pilot tested in a geriatric mental health hospital. The system's accuracy in detecting falls was measured against the hospital records documenting falls. Following the pilot test, nurses were interviewed regarding their perceptions of this technology. In this study, the HELPER system missed one documented fall but detected four falls that were not documented. Although sensitivity (.80) of the system was high, numerous false alarms brought down positive predictive value (.01). Interviews with nurses provided valuable insights based on the operation of the technology in a real environment; these and other lessons learned will be particularly valuable to engineers developing this and other health and social care technologies.