Digital Phenotyping for Changes in Activity at the End of Life in People With Dementia
DIPHDEM
1 other identifier
observational
50
1 country
1
Brief Summary
Background: Almost 90% of people with dementia develop serious symptoms such as apathy, agitation, pain, and sleep disturbances. Movement and participation in daily activities also decrease dramatically over time. Traditional measures for these symptoms are usually in the form of a questionnaire and are not very accurate. Technology, such as a smartwatch, can be an effective tool for complementing traditional measures. Currently, there are few studies which look at activity and symptom measurements at the end-of-life. This makes results from this study extremely valuable for future care decisions, especially for people which may not be able to communicate their needs during the end-of-life period. Method/Design: DIgital PHenotyping in DEMentia (DIPH.DEM), a 3-year cross-sectional observational study (N=50), will look at activities, apathy, agitation, and sleep disturbances using sensing technologies to monitor participants at the end of life. The objective of the study is to use a smartwatch and wireless radar (bedside) device (Somnofy), in addition to validated assessment tools to describe the activity patterns for patients with dementia at the end of life (baseline and every 6.months). We hypothesize that this will enable better estimation of time of death, facilitating discussion surrounding improvement of end-of-life interventions and directives. Discussion: The use of sensors (smartwatch and wireless beside device) can provide valuable knowledge on living and dying with dementia, improve end-of-life directives, and provide guidance for timely, appropriate interventions, including referral to palliative services. Impact on society: DIPH.DEM has the potential to enable more timely, precise, and quality care for people with dementia living at home, in nursing homes, and hospitals.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started May 2023
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 2, 2023
CompletedFirst Submitted
Initial submission to the registry
June 9, 2023
CompletedFirst Posted
Study publicly available on registry
September 11, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2026
CompletedMay 10, 2024
October 1, 2023
3 years
June 9, 2023
May 8, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Activities of Daily Living (ADL) - Physical Self Maintenance Scale (PSMS), Lawton and Brody, 1969.
Personal functional daily activities such as toileting, eating, self-care, movement/ambulation, transfers, bathing. 6 sections - scoring 1-5 on each, higher score indicates greater disability.
Baseline and every 6.months (up to one year)
Digital biomarker estimations for apathy, agitation, pain, and sleep disturbances
Estimation of activity changes and selected behavioral disturbances resulting from the combined digital phenotype modeling; these estimations are experimental and "scores" will be based on analysis of found data after data collection period.
Baseline and every 6.months (up to one year), continuous up to 12 weeks if a serious health event occurs
Secondary Outcomes (5)
Neuropsychiatric Inventory - Nursing Home Version (NPI-NH)
Baseline and every 6.months (up to one year)
Mobilization, Observation, Behavioral, Intensity Dementia (MOBID-2)
Baseline and every 6.months (up to one year)
InterRai-Palliative Care (InterRai-PC)
Baseline and every 6.months (up to one year)
Digital secondary outcomes
Baseline and every 6.months (up to one year)
Edmonton Symptom Assessment System (ESAS++)
Baseline and every 6.months (up to one year)
Other Outcomes (5)
Chart review
Baseline
Clinical Dementia Rating (CDR)
Baseline
General Medical Health Rating Scale (GMHR)
Baseline
- +2 more other outcomes
Study Arms (1)
Participants
Persons with dementia
Interventions
The study is observational and will not include any specific interventions other than the regular care practice that the participants receive from their care providers. The study will use a wrist-mounted smartwatch for monitoring. Previous studies show acceptability toward wearable devices among persons with dementia; however, if the care staff recognize discomfort or distress caused by the device, it will be immediately removed.
Eligibility Criteria
Older adults with dementia or cognitive impairment.
You may qualify if:
- People with dementia or who have a likely diagnosis of dementia
- Hospital (admitted for \>3 days)
- Nursing home resident
- \>64 years old
You may not qualify if:
- People without dementia or cognitive impairment
- People that are considered already in a health status emergency (\< 6 weeks to live)
- People that are not living in the nursing home
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Bergenlead
- Helse Vestcollaborator
- Haukeland University Hospitalcollaborator
- Haraldsplass Deaconess Hospitalcollaborator
- Bergen Red Cross Nursing Homecollaborator
Study Sites (1)
Bergen Røde Kors Sykehjem AS
Bergen, Vestland, 5043, Norway
Related Publications (24)
Sallnow L, Smith R, Ahmedzai SH, Bhadelia A, Chamberlain C, Cong Y, Doble B, Dullie L, Durie R, Finkelstein EA, Guglani S, Hodson M, Husebo BS, Kellehear A, Kitzinger C, Knaul FM, Murray SA, Neuberger J, O'Mahony S, Rajagopal MR, Russell S, Sase E, Sleeman KE, Solomon S, Taylor R, Tutu van Furth M, Wyatt K; Lancet Commission on the Value of Death. Report of the Lancet Commission on the Value of Death: bringing death back into life. Lancet. 2022 Feb 26;399(10327):837-884. doi: 10.1016/S0140-6736(21)02314-X. Epub 2022 Feb 1. No abstract available.
PMID: 35114146BACKGROUNDSandvik RK, Selbaek G, Bergh S, Aarsland D, Husebo BS. Signs of Imminent Dying and Change in Symptom Intensity During Pharmacological Treatment in Dying Nursing Home Patients: A Prospective Trajectory Study. J Am Med Dir Assoc. 2016 Sep 1;17(9):821-7. doi: 10.1016/j.jamda.2016.05.006. Epub 2016 Jun 16.
PMID: 27321869BACKGROUNDAbbott KM, Bangerter LR, Humes S, Klumpp R, Van Haitsma K. "It's important, but...": Perceived Barriers and Situational Dependencies to Social Contact Preferences of Nursing Home Residents. Gerontologist. 2018 Nov 3;58(6):1126-1135. doi: 10.1093/geront/gnx109.
PMID: 28645167BACKGROUNDVik-Mo AO, Giil LM, Borda MG, Ballard C, Aarsland D. The individual course of neuropsychiatric symptoms in people with Alzheimer's and Lewy body dementia: 12-year longitudinal cohort study. Br J Psychiatry. 2020 Jan;216(1):43-48. doi: 10.1192/bjp.2019.195.
PMID: 31506117BACKGROUNDFaeo SE, Husebo BS, Bruvik FK, Tranvag O. "We live as good a life as we can, in the situation we're in" - the significance of the home as perceived by persons with dementia. BMC Geriatr. 2019 Jun 6;19(1):158. doi: 10.1186/s12877-019-1171-6.
PMID: 31170916BACKGROUNDHusebo BS, Heintz HL, Berge LI, Owoyemi P, Rahman AT, Vahia IV. Sensing Technology to Monitor Behavioral and Psychological Symptoms and to Assess Treatment Response in People With Dementia. A Systematic Review. Front Pharmacol. 2020 Feb 4;10:1699. doi: 10.3389/fphar.2019.01699. eCollection 2019.
PMID: 32116687BACKGROUNDVahia IV, Forester BP. Motion mapping in humans as a biomarker for psychiatric disorders. Neuropsychopharmacology. 2019 Jan;44(1):231-232. doi: 10.1038/s41386-018-0205-7. No abstract available.
PMID: 30214060BACKGROUNDAu-Yeung WM, 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 Jan;30(1):1-11. doi: 10.1016/j.jagp.2021.04.008. Epub 2021 Apr 22.
PMID: 34039534BACKGROUNDTorrado JC, Husebo BS, Allore HG, Erdal A, Faeo SE, Reithe H, Forsund E, Tzoulis C, Patrascu M. Digital phenotyping by wearable-driven artificial intelligence in older adults and people with Parkinson's disease: Protocol of the mixed method, cyclic ActiveAgeing study. PLoS One. 2022 Oct 14;17(10):e0275747. doi: 10.1371/journal.pone.0275747. eCollection 2022.
PMID: 36240173BACKGROUNDSchuurmans AAT, de Looff P, Nijhof KS, Rosada C, Scholte RHJ, Popma A, Otten R. Validity of the Empatica E4 Wristband to Measure Heart Rate Variability (HRV) Parameters: a Comparison to Electrocardiography (ECG). J Med Syst. 2020 Sep 23;44(11):190. doi: 10.1007/s10916-020-01648-w.
PMID: 32965570BACKGROUNDToften S, Pallesen S, Hrozanova M, Moen F, Gronli J. Validation of sleep stage classification using non-contact radar technology and machine learning (Somnofy(R)). Sleep Med. 2020 Nov;75:54-61. doi: 10.1016/j.sleep.2020.02.022. Epub 2020 Mar 6.
PMID: 32853919BACKGROUNDJorm AF. The Informant Questionnaire on cognitive decline in the elderly (IQCODE): a review. Int Psychogeriatr. 2004 Sep;16(3):275-93. doi: 10.1017/s1041610204000390.
PMID: 15559753BACKGROUNDReisberg B. Functional assessment staging (FAST). Psychopharmacol Bull. 1988;24(4):653-9. No abstract available.
PMID: 3249767BACKGROUNDEvensen S, Hylen Ranhoff A, Lydersen S, Saltvedt I. The delirium screening tool 4AT in routine clinical practice: prediction of mortality, sensitivity and specificity. Eur Geriatr Med. 2021 Aug;12(4):793-800. doi: 10.1007/s41999-021-00489-1. Epub 2021 Apr 4.
PMID: 33813725BACKGROUNDThorpe O, McCabe E, Herrero EM, Doyle WO, Dillon A, Edge L, Flynn S, Mullen A, Davis A, Molamphy A, Kirwan A, Briggs R, Lavan AH, Shields D, McMahon G, Hennessy A, Kennedy U, Staunton P, Kidney E, Yeung SJ, Glynn D, Horgan F, Cunningham C, Romero-Ortuno R. Scoring the Clinical Frailty Scale in the Emergency Department: The Home FIRsT Experience. J Frailty Sarcopenia Falls. 2022 Jun 1;7(2):95-100. doi: 10.22540/JFSF-07-095. eCollection 2022 Jun.
PMID: 35775090BACKGROUNDLyketsos CG, Galik E, Steele C, Steinberg M, Rosenblatt A, Warren A, Sheppard JM, Baker A, Brandt J. The General Medical Health Rating: a bedside global rating of medical comorbidity in patients with dementia. J Am Geriatr Soc. 1999 Apr;47(4):487-91. doi: 10.1111/j.1532-5415.1999.tb07245.x.
PMID: 10203127BACKGROUNDHui D, Bruera E. The Edmonton Symptom Assessment System 25 Years Later: Past, Present, and Future Developments. J Pain Symptom Manage. 2017 Mar;53(3):630-643. doi: 10.1016/j.jpainsymman.2016.10.370. Epub 2016 Dec 29.
PMID: 28042071BACKGROUNDSelbaek G, Kirkevold O, Sommer OH, Engedal K. The reliability and validity of the Norwegian version of the Neuropsychiatric Inventory, nursing home version (NPI-NH). Int Psychogeriatr. 2008 Apr;20(2):375-82. doi: 10.1017/S1041610207005601. Epub 2007 Jun 11.
PMID: 17559707BACKGROUNDHusebo BS, Ostelo R, Strand LI. The MOBID-2 pain scale: reliability and responsiveness to pain in patients with dementia. Eur J Pain. 2014 Nov;18(10):1419-30. doi: 10.1002/ejp.507. Epub 2014 May 5.
PMID: 24799157BACKGROUNDPark C, Mishra R, Golledge J, Najafi B. Digital Biomarkers of Physical Frailty and Frailty Phenotypes Using Sensor-Based Physical Activity and Machine Learning. Sensors (Basel). 2021 Aug 5;21(16):5289. doi: 10.3390/s21165289.
PMID: 34450734BACKGROUNDBrowne B, Kupeli N, Moore KJ, Sampson EL, Davies N. Defining end of life in dementia: A systematic review. Palliat Med. 2021 Dec;35(10):1733-1746. doi: 10.1177/02692163211025457. Epub 2021 Jun 17.
PMID: 34137314BACKGROUNDTaylor-Rowan M, Nafisi S, Owen R, Duffy R, Patel A, Burton JK, Quinn TJ. Informant-based screening tools for dementia: an overview of systematic reviews. Psychol Med. 2023 Jan;53(2):580-589. doi: 10.1017/S0033291721002002. Epub 2021 May 25.
PMID: 34030753BACKGROUNDPuaschitz NG, Jacobsen FF, Mannseth J, Angeles RC, Berge LI, Gedde MH, Husebo BS. Factors associated with access to assistive technology and telecare in home-dwelling people with dementia: baseline data from the LIVE@Home.Path trial. BMC Med Inform Decis Mak. 2021 Sep 15;21(1):264. doi: 10.1186/s12911-021-01627-2.
PMID: 34525979BACKGROUNDJohansen RH, Olsen K, Bergh S, Benth JS, Selbaek G, Helvik AS. Course of activities of daily living in nursing home residents with dementia from admission to 36-month follow-up. BMC Geriatr. 2020 Nov 20;20(1):488. doi: 10.1186/s12877-020-01877-1.
PMID: 33218298BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Bettina S Husebo, MD, PhD
University of Bergen, Center for Elderly and Nursing Home Medicine, Neuro-SysMed Center
- PRINCIPAL INVESTIGATOR
Monica Patrascu, Eng, PhD
University of Bergen, Center for Elderly and Nursing Home Medicine, Neuro-SysMed Center
- STUDY CHAIR
Lydia Boyle, MSc, DPT
University of Bergen, Center for Elderly and Nursing Home Medicine, Neuro-SysMed Center
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 9, 2023
First Posted
September 11, 2023
Study Start
May 2, 2023
Primary Completion
May 1, 2026
Study Completion
May 1, 2026
Last Updated
May 10, 2024
Record last verified: 2023-10