Information and Communication Technologies, a Promising Way to Support Pharmacotherapy for the Behavioral and Psychological Symptoms of Dementia

Piau, Antoine; Rumeau, Pierre; Nourhashémi, Fati; Martin, Maria Soto

doi:10.3389/fphar.2019.01122

Cited by 6 publications

(3 citation statements)

References 57 publications

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“…Along with the objectively measured actigraphy data, the results of the GLMMs revealed the large magnitude of the associations between diary-based caregiver-perceived symptom triggers and BPSD subsyndromes, which indicates the importance of collateral information from caregivers for predicting BPSD subsyndromes. Information and communications technologies (ICTs) can be a solution to complement paper-based symptom diaries by allowing the collection of high-frequency contextual information on BPSD that is episodic and evolves over time [ 76 ]. Future studies could adopt mobile app–based symptom diaries, which would facilitate the tracking and monitoring of BPSD by using push notifications to ensure measurements are not missed and to assist caregivers in easily checking symptoms anywhere and anytime with their mobile phones.…”

Section: Discussionmentioning

confidence: 99%

Factors Associated With Behavioral and Psychological Symptoms of Dementia: Prospective Observational Study Using Actigraphy

Cho¹,

Kim²,

Hwang³

et al. 2021

J Med Internet Res

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Background Although disclosing the predictors of different behavioral and psychological symptoms of dementia (BPSD) is the first step in developing person-centered interventions, current understanding is limited, as it considers BPSD as a homogenous construct. This fails to account for their heterogeneity and hinders development of interventions that address the underlying causes of the target BPSD subsyndromes. Moreover, understanding the influence of proximal factors—circadian rhythm–related factors (ie, sleep and activity levels) and physical and psychosocial unmet needs states—on BPSD subsyndromes is limited, due to the challenges of obtaining objective and/or continuous time-varying measures. Objective The aim of this study was to explore factors associated with BPSD subsyndromes among community-dwelling older adults with dementia, considering sets of background and proximal factors (ie, actigraphy-measured sleep and physical activity levels and diary-based caregiver-perceived symptom triggers), guided by the need-driven dementia-compromised behavior model. Methods A prospective observational study design was employed. Study participants included 145 older adults with dementia living at home. The mean age at baseline was 81.2 (SD 6.01) years and the sample consisted of 86 (59.3%) women. BPSD were measured with a BPSD diary kept by caregivers and were categorized into seven subsyndromes. Independent variables consisted of background characteristics and proximal factors (ie, sleep and physical activity levels measured using actigraphy and caregiver-reported contributing factors assessed using a BPSD diary). Generalized linear mixed models (GLMMs) were used to examine the factors that predicted the occurrence of BPSD subsyndromes. We compared the models based on the Akaike information criterion, the Bayesian information criterion, and likelihood ratio testing. Results Compared to the GLMMs with only background factors, the addition of actigraphy and diary-based data improved model fit for every BPSD subsyndrome. The number of hours of nighttime sleep was a predictor of the next day’s sleep and nighttime behaviors (odds ratio [OR] 0.9, 95% CI 0.8-1.0; P=.005), and the amount of energy expenditure was a predictor for euphoria or elation (OR 0.02, 95% CI 0.0-0.5; P=.02). All subsyndromes, except for euphoria or elation, were significantly associated with hunger or thirst and urination or bowel movements, and all BPSD subsyndromes showed an association with environmental change. Age, marital status, premorbid personality, and taking sedatives were predictors of specific BPSD subsyndromes. Conclusions BPSD are clinically heterogeneous, and their occurrence can be predicted by different contributing factors. Our results for various BPSD suggest a critical window for timely intervention and care planning. Findings from this study will help devise symptom-targeted and individualized interventions to prevent and manage BPSD and facilitate personalized dementia care.

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Section: Discussionmentioning

confidence: 99%

Factors Associated With Behavioral and Psychological Symptoms of Dementia: Prospective Observational Study Using Actigraphy

Cho¹,

Kim²,

Hwang³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

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“…Remote patient monitoring (RPM) has rapidly become a widely used approach for monitoring patients' health and to provide early interventions outside the traditional healthcare settings (Vegesna et al, 2017). RPM systems typically use information and communication technologies (ICT) to capture data from individuals, e.g., from their homes, and electronically transmit the data to health professionals (Piau et al, 2019) at a health facility e.g., hospitals. The rapid growth of telemedicine technology has accelerated the adoption of RPM, with strong evidence of benefits for both healthcare providers and patients.…”

Section: Introductionmentioning

confidence: 99%

Predicting Remote Monitoring Patients’ Non-compliance Behavior Through App-mediated Communications

Cai,

Liu,

Huang

et al. 2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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Remote patient monitoring (RPM) has been widely used for monitoring patients' health and tracking their behavior outside the traditional healthcare setting. One important behavior to understand is patients' compliance with medical advice and treatment regimes. Existing methods detect non-compliance based on health parameters i.e., weight and vital signs, which can only be identified by the deterioration in health conditions. This study proposes an RPM system artifact to record patients' feelings and concerns through short messages; these messages are used to develop a noncompliance prediction model. A prototype of the design artifact was implemented and tested with chronic patients taking home hemodialysis. Our model revealed that the counts of messages recorded is related to noncompliant behavior, and the negative emotions depicted in the messages implied a higher likelihood of noncompliance. Our study demonstrated the feasibility of understanding patients' status based on non-health parameters and provided a way to enhance RPM for patients outside the hospital settings.

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“…One critical requirement in the development of digital biomarkers is connecting these novel measurements to health outcomes." Piau, Rumeau et al (2019) 43 "Digital biomarker definition. Objective, quantifiable, physiological, and/or behavioral data that are collected and measured by means of digital devices such as embedded environmental sensors, portables, wearables, implantables, or digestibles, and which opens up opportunities for the remote collection and processing of ecologically valid, real-life, continuous, long-term, health-related data."…”

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confidence: 99%

Definitions of digital biomarkers: a systematic mapping of the biomedical literature

Alonso,

Hirt,

Woelfle

et al. 2023

Preprint

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Background Technological devices such as smartphones, wearables, sensors, or virtual assistants allow to collect data on health and disease processes and are thus increasingly considered a useful digital alternative to conventional biomarkers. We aimed to provide a systematic overview of the emerging literature on "digital biomarkers" with their definitions, features, and citations in biomedical research. Methods We analyzed all articles in PubMed that used the term "digital biomarker(s)" in title or abstract, considering any study involving humans and any review, editorial, perspective, or other opinion-based article up to 8 March 2023. We systematically extracted characteristics of publications and research studies, and any definitions and features of "digital biomarkers" mentioned. We described the most influential literature on digital biomarkers and their definitions using thematic categorizations of definitions considering the FDA BEST framework (i.e., data type, data collection method, purpose of biomarker), analysing the structural similarity of definitions by performing text analyses (hierarchical clustering on the distance-matrix) and citation analyses (based on citation metrics obtained from OpenAlex via Local Citation Network; last search 26 June 2023). Results We identified 415 articles prominently using the term "digital biomarker". They were published between 2014 and 2023 (median 2021), mostly describing primary research (283 articles; 68%). Most articles did not provide a definition of a digital biomarker (n=287; 69%). The 128 articles providing a definition of a digital biomarker reported 127 different definitions. Of these 127 definitions, 78 considered data collection, 56 data type, 50 the purpose, and 23 were based on all three key components. The 128 articles with a definition were cited a median of 6 times (interquartile range 2-20) with up to 517 citations. Of the ten most frequently cited articles using a definition, all used a different one. Conclusions The most frequently used definitions for digital biomarkers are highly different and there is no consensus about what this emerging term means. Our overview highlights key defining characteristics of digital biomarkers which can inform the development of a harmonized and more widely accepted definition.

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Information and Communication Technologies, a Promising Way to Support Pharmacotherapy for the Behavioral and Psychological Symptoms of Dementia

Cited by 6 publications

References 57 publications

Factors Associated With Behavioral and Psychological Symptoms of Dementia: Prospective Observational Study Using Actigraphy

Factors Associated With Behavioral and Psychological Symptoms of Dementia: Prospective Observational Study Using Actigraphy

Predicting Remote Monitoring Patients’ Non-compliance Behavior Through App-mediated Communications

Definitions of digital biomarkers: a systematic mapping of the biomedical literature

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