Understanding Pain and Agitation Through System Analysis Algorithms in People With Dementia. A Novel Explorative Approach by the DIGI.PAIN Study

BackgroundMany people with dementia (PwD) live and die with undiagnosed and untreated pain and are no longer able to report their suffering. Several pain assessment tools have been developed, tested, and implemented in clinical practice, but nursing home patients are reported to be still in pain. Cl...

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Main Authors: Bettina S. Husebo, Maarja Vislapuu, Malgorzata A. Cyndecka, Manal Mustafa, Monica Patrascu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Pain Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpain.2022.847578/full
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author Bettina S. Husebo
Bettina S. Husebo
Maarja Vislapuu
Malgorzata A. Cyndecka
Manal Mustafa
Monica Patrascu
Monica Patrascu
author_facet Bettina S. Husebo
Bettina S. Husebo
Maarja Vislapuu
Malgorzata A. Cyndecka
Manal Mustafa
Monica Patrascu
Monica Patrascu
author_sort Bettina S. Husebo
collection DOAJ
description BackgroundMany people with dementia (PwD) live and die with undiagnosed and untreated pain and are no longer able to report their suffering. Several pain assessment tools have been developed, tested, and implemented in clinical practice, but nursing home patients are reported to be still in pain. Clinicians and research groups worldwide are seeking novel approaches to encode the prediction, prevalence, and associations to pain in PwD.ParticipantsThe data in this analysis are acquired from the COSMOS study, a cluster-randomized controlled trial (2014 to 2015), aimed to improve the quality of life in nursing home patients (N = 723) through the implementation of a multicomponent intervention. We utilize baseline data of PwD (N = 219) with complete datasets of pain and agitation.MethodSystems analysis explores the relationship between pain and agitation using the Mobilization-Observation-Behavior-Intensity-Dementia (MOBID-2) Pain Scale, Cohen-Mansfield Agitation Inventory (CMAI), and Neuropsychiatric Inventory-Nursing Home version (NPI-NH). For each patient, the individualized continuous time trajectory, and rates of change of pain and agitation are estimated. We determine the relationship between these rates by analyzing them across the entire group.ResultsWe found that the new analysis method can generate individualized estimations for pain and agitation evolution for PwD, as well as their relationship. For 189 of 219 PwD, results show that whenever pain increases or decreases, agitation does too, with the same rate. The method also identifies PwD for whom pain or agitation remains constant while the other varies over time, and patients for whom agitation and pain do not change together. The algorithm is scalable to other variables and compatible with wearable devices and digital sensors.ConclusionWe presented a new approach to clinical data analysis using systems concepts and algorithms. We found that it is possible to quantify and visualize relationships between variables with a precision only dependent on the precision of measurements. This method should be further validated, but incipient results show great potential, especially for wearable-generated continuous data.
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spelling doaj.art-c6f20c71dfbd4bcdada5f4b67ebfa8eb2022-12-22T00:02:51ZengFrontiers Media S.A.Frontiers in Pain Research2673-561X2022-03-01310.3389/fpain.2022.847578847578Understanding Pain and Agitation Through System Analysis Algorithms in People With Dementia. A Novel Explorative Approach by the DIGI.PAIN StudyBettina S. Husebo0Bettina S. Husebo1Maarja Vislapuu2Malgorzata A. Cyndecka3Manal Mustafa4Monica Patrascu5Monica Patrascu6Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, NorwayDepartment of Nursing Home Medicine, Bergen, NorwayDepartment of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, NorwayMunicipality of Bergen, Faculty of Law, University of Bergen, Bergen, NorwayOral Health Centre of Expertise in Western Norway, Bergen, NorwayDepartment of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, NorwayComplex Systems Laboratory, Department of Automatic Control and System Engineering, University Politehnica of Bucharest, Bucharest, RomaniaBackgroundMany people with dementia (PwD) live and die with undiagnosed and untreated pain and are no longer able to report their suffering. Several pain assessment tools have been developed, tested, and implemented in clinical practice, but nursing home patients are reported to be still in pain. Clinicians and research groups worldwide are seeking novel approaches to encode the prediction, prevalence, and associations to pain in PwD.ParticipantsThe data in this analysis are acquired from the COSMOS study, a cluster-randomized controlled trial (2014 to 2015), aimed to improve the quality of life in nursing home patients (N = 723) through the implementation of a multicomponent intervention. We utilize baseline data of PwD (N = 219) with complete datasets of pain and agitation.MethodSystems analysis explores the relationship between pain and agitation using the Mobilization-Observation-Behavior-Intensity-Dementia (MOBID-2) Pain Scale, Cohen-Mansfield Agitation Inventory (CMAI), and Neuropsychiatric Inventory-Nursing Home version (NPI-NH). For each patient, the individualized continuous time trajectory, and rates of change of pain and agitation are estimated. We determine the relationship between these rates by analyzing them across the entire group.ResultsWe found that the new analysis method can generate individualized estimations for pain and agitation evolution for PwD, as well as their relationship. For 189 of 219 PwD, results show that whenever pain increases or decreases, agitation does too, with the same rate. The method also identifies PwD for whom pain or agitation remains constant while the other varies over time, and patients for whom agitation and pain do not change together. The algorithm is scalable to other variables and compatible with wearable devices and digital sensors.ConclusionWe presented a new approach to clinical data analysis using systems concepts and algorithms. We found that it is possible to quantify and visualize relationships between variables with a precision only dependent on the precision of measurements. This method should be further validated, but incipient results show great potential, especially for wearable-generated continuous data.https://www.frontiersin.org/articles/10.3389/fpain.2022.847578/fulldementiapainbehavioragitationalgorithmssystems
spellingShingle Bettina S. Husebo
Bettina S. Husebo
Maarja Vislapuu
Malgorzata A. Cyndecka
Manal Mustafa
Monica Patrascu
Monica Patrascu
Understanding Pain and Agitation Through System Analysis Algorithms in People With Dementia. A Novel Explorative Approach by the DIGI.PAIN Study
Frontiers in Pain Research
dementia
pain
behavior
agitation
algorithms
systems
title Understanding Pain and Agitation Through System Analysis Algorithms in People With Dementia. A Novel Explorative Approach by the DIGI.PAIN Study
title_full Understanding Pain and Agitation Through System Analysis Algorithms in People With Dementia. A Novel Explorative Approach by the DIGI.PAIN Study
title_fullStr Understanding Pain and Agitation Through System Analysis Algorithms in People With Dementia. A Novel Explorative Approach by the DIGI.PAIN Study
title_full_unstemmed Understanding Pain and Agitation Through System Analysis Algorithms in People With Dementia. A Novel Explorative Approach by the DIGI.PAIN Study
title_short Understanding Pain and Agitation Through System Analysis Algorithms in People With Dementia. A Novel Explorative Approach by the DIGI.PAIN Study
title_sort understanding pain and agitation through system analysis algorithms in people with dementia a novel explorative approach by the digi pain study
topic dementia
pain
behavior
agitation
algorithms
systems
url https://www.frontiersin.org/articles/10.3389/fpain.2022.847578/full
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