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Xu J, Smaling HJA, Schoones JW, Achterberg WP, van der Steen JT. Noninvasive monitoring technologies to identify discomfort and distressing symptoms in persons with limited communication at the end of life: a scoping review. BMC Palliat Care 2024; 23:78. [PMID: 38515049 PMCID: PMC10956214 DOI: 10.1186/s12904-024-01371-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 01/29/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Discomfort and distressing symptoms are common at the end of life, while people in this stage are often no longer able to express themselves. Technologies may aid clinicians in detecting and treating these symptoms to improve end-of-life care. This review provides an overview of noninvasive monitoring technologies that may be applied to persons with limited communication at the end of life to identify discomfort. METHODS A systematic search was performed in nine databases, and experts were consulted. Manuscripts were included if they were written in English, Dutch, German, French, Japanese or Chinese, if the monitoring technology measured discomfort or distressing symptoms, was noninvasive, could be continuously administered for 4 hours and was potentially applicable for bed-ridden people. The screening was performed by two researchers independently. Information about the technology, its clinimetrics (validity, reliability, sensitivity, specificity, responsiveness), acceptability, and feasibility were extracted. RESULTS Of the 3,414 identified manuscripts, 229 met the eligibility criteria. A variety of monitoring technologies were identified, including actigraphy, brain activity monitoring, electrocardiography, electrodermal activity monitoring, surface electromyography, incontinence sensors, multimodal systems, and noncontact monitoring systems. The main indicators of discomfort monitored by these technologies were sleep, level of consciousness, risk of pressure ulcers, urinary incontinence, agitation, and pain. For the end-of-life phase, brain activity monitors could be helpful and acceptable to monitor the level of consciousness during palliative sedation. However, no manuscripts have reported on the clinimetrics, feasibility, and acceptability of the other technologies for the end-of-life phase. CONCLUSIONS Noninvasive monitoring technologies are available to measure common symptoms at the end of life. Future research should evaluate the quality of evidence provided by existing studies and investigate the feasibility, acceptability, and usefulness of these technologies in the end-of-life setting. Guidelines for studies on healthcare technologies should be better implemented and further developed.
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Affiliation(s)
- Jingyuan Xu
- Department of Public Health and Primary Care, Leiden University Medical Center, Hippocratespad 21, Gebouw 3, Postzone V0-P, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.
| | - Hanneke J A Smaling
- Department of Public Health and Primary Care, Leiden University Medical Center, Hippocratespad 21, Gebouw 3, Postzone V0-P, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
- University Network for the Care Sector Zuid-Holland, Leiden University Medical Center, Leiden, The Netherlands
| | - Jan W Schoones
- Directorate of Research Policy, Leiden University Medical Center, Leiden, The Netherlands
| | - Wilco P Achterberg
- Department of Public Health and Primary Care, Leiden University Medical Center, Hippocratespad 21, Gebouw 3, Postzone V0-P, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
- University Network for the Care Sector Zuid-Holland, Leiden University Medical Center, Leiden, The Netherlands
| | - Jenny T van der Steen
- Department of Public Health and Primary Care, Leiden University Medical Center, Hippocratespad 21, Gebouw 3, Postzone V0-P, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
- Department of Primary and Community Care, and Radboudumc Alzheimer Center, Radboud university medical center, Nijmegen, The Netherlands
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Dresden SM. Optimizing the Care of Persons Living with Dementia in the Emergency Department. Clin Geriatr Med 2023; 39:599-617. [PMID: 37798067 DOI: 10.1016/j.cger.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
Emergency department (ED) care for persons living with dementia (PLWD) involves the identification of dementia or cognitive impairment, ED care which is sensitive to the specific needs of PLWD, effective communication with PLWD, their care partners, and outpatient clinicians who the patient and care-partner know and trust, and care-transitions from the emergency department to other health care settings. The recommendations in this article made based on wide-ranging heterogeneous studies of various interventions which have been studied primarily in single-site studies. Future research should work to incorporate promising findings from interventions such as hospital at home, or ED to home Care Transitions Intervention.
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Affiliation(s)
- Scott M Dresden
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Center for Healthcare Studies and Outcomes Research, 211 East Ontario Street, Suite 200, Chicago, IL 60611, USA.
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Dresden SM, Taylor Z, Serina P, Kennedy M, Wescott AB, Hogan T, Shah MN, Hwang U. Optimal Emergency Department Care Practices for Persons Living With Dementia: A Scoping Review. J Am Med Dir Assoc 2022; 23:1314.e1-1314.e29. [PMID: 35940683 DOI: 10.1016/j.jamda.2022.05.024] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/23/2022] [Accepted: 05/26/2022] [Indexed: 01/08/2023]
Abstract
OBJECTIVES To summarize research on optimal emergency department (ED) care practices for persons living with dementia (PLWDs) and develop research priorities. DESIGN Systematic scoping review. SETTINGS AND PARTICIPANTS PLWDs in the ED. METHODS The following Patient-Intervention-Comparison-Outcome (PICO) questions were developed: PICO 1, What components of emergency department care improve patient-centered outcomes for persons with dementia? PICO 2, How do emergency care needs for persons with dementia differ from other patients in the emergency department? A scoping review was conducted following PRISMA-ScR guidelines and presented to the Geriatric Emergency care Applied Research 2.0 Advancing Dementia Care network to inform research priorities. RESULTS From the 6348 publications identified, 23 were abstracted for PICO 1 and 26 were abstracted for PICO 2. Emergency care considerations for PLWDs included functional dependence, behavioral and psychological symptoms of dementia, and identification of and management of pain. Concerns regarding ED care processes, the ED environment, and meeting a PWLD's basic needs were described. A comprehensive geriatric assessment and dedicated ED unit, a home hospital program, and a low-stimulation bed shade and contact-free monitor all showed improvement in patient-centered or health care use outcomes. However, all were single-site studies evaluating different outcomes. These results informed the following research priorities: (1) training and dementia care competencies; (2) patient-centric and care partner-centric evaluation interventions; (3) the impact of community- and identity-based factors on ED care for PLWDs; (4) economic or other implementation science measures to address viability; and (5) environmental, operational, personnel, system, or policy changes to improve ED care for PLWDs. CONCLUSIONS AND IMPLICATIONS A wide range of components of both ED care practices and ED care needs for PLWDs have been studied. Although many interventions show positive results, the lack of depth and reproducible results prevent specific recommendations on best practices in ED care for PLWDs.
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Affiliation(s)
- Scott M Dresden
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Zachary Taylor
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Peter Serina
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Maura Kennedy
- Department of Emergency Medicine, Harvard Medical School, Boston, MA, USA
| | - Annie B Wescott
- Galter Library and Learning Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Teresita Hogan
- Section of Emergency Medicine, Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, USA
| | - Manish N Shah
- BerbeeWalsh Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Ula Hwang
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA; Geriatric Research, Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY, USA
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Applications and Outcomes of Internet of Things for Patients with Alzheimer’s Disease/Dementia: A Scoping Review. BIOMED RESEARCH INTERNATIONAL 2022; 2022:6274185. [PMID: 35342749 PMCID: PMC8948545 DOI: 10.1155/2022/6274185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 02/01/2022] [Accepted: 02/22/2022] [Indexed: 11/24/2022]
Abstract
Objectives We aimed to identify and classify the Internet of Things (IoT) technologies used for Alzheimer's disease (AD)/dementia as well as the healthcare aspects addressed by these technologies and the outcomes of the IoT interventions. Methodology. We searched PubMed/MEDLINE, IEEE Explore, Web of Science, OVID, Scopus, Embase, Cochrane, and Google Scholar. In total, 13,005 papers were reviewed, 36 of which were finally selected. All the reviews were independently carried out by two researchers. In the case of any disagreement, the problem was resolved by holding a meeting and exchanging views. Due to the diversity of the reviewed studies, narrative analysis was performed. Results Among the technologies used for the patients including radio frequency identification (RFID), near field communication (NFC), ZigBee, Bluetooth, global positioning system (GPS), sensors, and cameras, the sensors were employed in 36 studies, most of which were switch and vital sign monitoring sensors. The most common aspects of AD/dementia care monitored using these technologies were activities of daily living (ADLs) in 27 studies, followed by sleep patterns and disease diagnosis in 19 and 14 studies, respectively. Sleeping, medication, vital signs, agitation, memory, social interaction, apathy, movement, tracking, and fall were other aspects monitored by IoT. Then, their outcomes were reported. Conclusion Using IoT for AD/dementia provides many opportunities for considering various aspects of this disease. Moreover, the ability to use various technologies for gathering patient-related data provides a comprehensive application for almost all aspects of the patients' care with high accuracy.
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Au-Yeung WTM, Miller L, Beattie Z, May R, Cray HV, Kabelac Z, Katabi D, Kaye J, Vahia IV. Monitoring Behaviors of Patients With Late-Stage Dementia Using Passive Environmental Sensing Approaches: A Case Series. Am J Geriatr Psychiatry 2022; 30:1-11. [PMID: 34039534 PMCID: PMC8531172 DOI: 10.1016/j.jagp.2021.04.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 03/30/2021] [Accepted: 04/14/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To show the feasibility of using different unobtrusive activity-sensing technologies to provide objective behavioral markers of persons with dementia (PwD). DESIGN Monitored the behaviors of two PwD living in memory care unit using the Oregon Center for Aging & Technology (ORCATECH) platform, and the behaviors of two PwD living in assisted living facility using the Emerald device. SETTING A memory care unit in Portland, Oregon and an assisted living facility in Framingham, Massachusetts. PARTICIPANTS A 63-year-old male with Alzheimer's disease (AD), and an 80-year-old female with frontotemporal dementia, both lived in a memory care unit in Portland, Oregon. An 89-year-old woman with a diagnosis of AD, and an 85-year-old woman with a diagnosis of major neurocognitive disorder, Alzheimer's type with behavioral symptoms, both resided at an assisted living facility in Framingham, Massachusetts. MEASUREMENTS These include: sleep quality measured by the bed pressure mat; number of transitions between spaces and dwell times in different spaces measured by the motion sensors; activity levels measured by the wearable actigraphy device; and couch usage and limb movements measured by the Emerald device. RESULTS Number of transitions between spaces can identify the patient's episodes of agitation; activity levels correlate well with the patient's excessive level of agitation and lack of movement when the patient received potentially inappropriate medication and neared the end of life; couch usage can detect the patient's increased level of apathy; and periodic limb movements can help detect risperidone-induced side effects. This is the first demonstration that the ORCATECH platform and the Emerald device can measure such activities. CONCLUSION The use of technologies for monitoring behaviors of PwD can provide more objective and intensive measurements of PwD behaviors.
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Affiliation(s)
- Wan-Tai M. Au-Yeung
- Department of Neurology, Oregon Health & Science University, Portland, OR,Oregon Center for Aging & Technology, Oregon Health & Science University, Portland, OR,NIA-Layton Aging & Alzheimer’s Disease Center, Oregon Health & Science University, Portland, OR
| | - Lyndsey Miller
- Oregon Center for Aging & Technology, Oregon Health & Science University, Portland, OR,School of Nursing, Oregon Health & Science University, Portland, OR
| | - Zachary Beattie
- Department of Neurology, Oregon Health & Science University, Portland, OR,Oregon Center for Aging & Technology, Oregon Health & Science University, Portland, OR,NIA-Layton Aging & Alzheimer’s Disease Center, Oregon Health & Science University, Portland, OR
| | | | | | - Zachary Kabelac
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
| | - Dina Katabi
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
| | - Jeffrey Kaye
- Department of Neurology, Oregon Health & Science University, Portland, OR,Oregon Center for Aging & Technology, Oregon Health & Science University, Portland, OR,NIA-Layton Aging & Alzheimer’s Disease Center, Oregon Health & Science University, Portland, OR
| | - Ipsit V. Vahia
- McLean Hospital, Belmont, MA,Harvard Medical School, Boston, MA
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