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Background: There is a growing interest to support extended independent living of people with dementia (PwD) via unobtrusive monitoring (UM) technologies which allow caregivers to remotely monitor lifestyle, health, and safety of PwD. However, these solutions will only be viable if developers obtain a clear picture of how to create value for all relevant stakeholders involved and achieve successful implementation. The aim of this study was therefore to explore the value proposition of UM technology in home-based dementia care and preconditions for successful implementation from a multi-stakeholder perspective.
Methods: We conducted an expert-informed survey among potential stakeholders (n = 25) to identify key stakeholders for UM technology in home-based dementia care. Subsequently, focus groups and semi-structured interviews were conducted among 5 key stakeholder groups (n = 24) including informal caregivers (n = 5), home care professionals (n = 5), PwD (n = 4), directors and managers within home care (n = 4), and policy advisors within the aged care and health insurance sector (n = 6). The sessions addressed the value proposition- and business model canvas and were analyzed using thematic analysis.
Results: Stakeholders agreed that UM technology should provide gains such as objective surveillance, timely interventions, and prevention of unnecessary control visits, whereas pains mainly included information overload, unplannable care due to real-time monitoring, and less human interaction. The overall design-oriented need referred to clear situation classifications including urgent care (fall- and wandering detection), non-urgent care (deviations in eating, drinking, sleeping), and future care (risk predictions). Most important preconditions for successful implementation of UM technology included inter-organizational collaboration, a shared vision on re-shaping existing care processes, integrated care ICT infrastructures, clear eligibility criteria for end-users, and flexible care reimbursement systems.
Conclusions: Our findings can guide the value-driven development and implementation of UM technology for home-based dementia care. Stakeholder values were mostly aligned, although stakeholders all had their own perspective on what UM technology should accomplish. Besides, our study highlights the complexity of implementing novel UM technology in home-based dementia care. To achieve successful implementation, organizational and financial preconditions, as well as digital data exchange between home care organizations, will be important.
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http://dx.doi.org/10.1186/s12877-022-03550-1 | DOI Listing |
Appl Clin Inform
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Department of Medicine, Oregon Health & Science University, Portland, United States.
Background Hypertension is a chronic condition defined by persistent high blood pressure (BP) that leads to significant health impacts. Evidence-based clinical guidelines provide recommendations for the diagnosis and treatment of hypertension. These recommendations are frequently incorporated into clinical decision support (CDS) systems used by clinicians.
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September 2025
School of Population Health, University of New South Wales, Sydney, Australia (A.E.S.).
Background: Blood pressure (BP) is a common clinical measurement, now increasingly done at home. Media websites often display images of BP measurement to represent clinical medicine, but many images deviate from guidelines, potentially creating misperceptions on how measurement should be performed. We evaluated the accuracy of BP measurement images online according to the 2023 International Consensus on Standardized Clinic BP Measurement.
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View Article and Find Full Text PDFBr J Nurs
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Senior Director Medical and Clinical Affairs, Convatec Technology Centre, Deeside, UK.
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F1000Res
September 2025
Norwegian Centre for Headache Research (NorHead), Norwegian University of Science and Technology, Trondheim, Norway.
Introduction: Biofeedback is a non-pharmacological treatment option valued for its minimal risk of adverse events and offers a safe alternative for individuals seeking preventive care for migraine. Despite level A evidence for migraine prevention, biofeedback treatment is still unavailable to most patients. We developed a novel medical device (Cerebri) for multimodal biofeedback treatment that omits the need for healthcare personnel involvement.
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