Caregiving in Older Adults; Experiences and Attitudes toward Smart Technologies.

(1) Background: The development of assistive technologies has become a key solution to reduce caregiver burden. The objective of this study was to survey caregivers on perceptions and beliefs about the future of modern technology in caregiving. (2) Methods: Demographics and clinical caregiver characteristics were collected via an online survey along with the perceptions and willingness to adopt technologies to support caregiving. Comparisons were made between those who considered themselves caregivers and those who never did. (3) Results: 398 responses (mean age 65) were analyzed. Health and caregiving status of the respondents (e.g., schedule of care) and of the care recipient were described. The perceptions and willingness to use technologies were generally positive without significant differences between those who ever considered themselves as caregivers and those who never did. The most valued features were the monitoring of falls (81%), medication use (78%), and changes in physical functioning (73%). For caregiving support, the greatest endorsements were reported for one-on-one options with similar scores for both online and in-person alternatives. Important concerns were expressed about privacy, obtrusiveness, and technological maturity. (4) Conclusions: Online surveys as a source of health information on caregiving may be an effective guide in developing care-assisting technologies receiving end users' feedback. Caregiver experience, whether positive or negative, was correlated to health habits such as alcohol use or sleep. This study provides insight on caregivers' needs and perceptions regarding caregiving according to their socio-demographic and health status.

Perioperative Risk Assessment of Patients Using the MyRISK Digital Score Completed Before the Preanesthetic Consultation: Prospective Observational Study.

BACKGROUND: The ongoing COVID-19 pandemic has highlighted the potential of digital health solutions to adapt the organization of care in a crisis context. OBJECTIVE: Our aim was to describe the relationship between the MyRISK score, derived from self-reported data collected by a chatbot before the preanesthetic consultation, and the occurrence of postoperative complications. METHODS: This was a single-center prospective observational study that included 401 patients. The 16 items composing the MyRISK score were selected using the Delphi method. An algorithm was used to stratify patients with low (green), intermediate (orange), and high (red) risk. The primary end point concerned postoperative complications occurring in the first 6 months after surgery (composite criterion), collected by telephone and by consulting the electronic medical database. A logistic regression analysis was carried out to identify the explanatory variables associated with the complications. A machine learning model was trained to predict the MyRISK score using a larger data set of 1823 patients classified as green or red to reclassify individuals classified as orange as either modified green or modified red. User satisfaction and usability were assessed. RESULTS: Of the 389 patients analyzed for the primary end point, 16 (4.1%) experienced a postoperative complication. A red score was independently associated with postoperative complications (odds ratio 5.9, 95% CI 1.5-22.3; P=.009). A modified red score was strongly correlated with postoperative complications (odds ratio 21.8, 95% CI 2.8-171.5; P=.003) and predicted postoperative complications with high sensitivity (94%) and high negative predictive value (99%) but with low specificity (49%) and very low positive predictive value (7%; area under the receiver operating characteristic curve=0.71). Patient satisfaction numeric rating scale and system usability scale median scores were 8.0 (IQR 7.0-9.0) out of 10 and 90.0 (IQR 82.5-95.0) out of 100, respectively. CONCLUSIONS: The MyRISK digital perioperative risk score established before the preanesthetic consultation was independently associated with the occurrence of postoperative complications. Its negative predictive strength was increased using a machine learning model to reclassify patients identified as being at intermediate risk. This reliable numerical categorization could be used to objectively refer patients with low risk to teleconsultation.

Impact of medication reviews on drug-related problems (DRPs) in older patients living in nursing homes in West Occitania.

Despite several guidelines for preventing potentially inappropriate medication (PIM) use in older, their prescription rates remain high (25%). The aim of this study was to determine the impact of medication reviews (MRs) on the drug-related problems (DRPs) in older patients in Elderly Residential Care Homes (nursing homes [NHs]). DRP was defined as an event or circumstance involving drug therapy that actually or potentially interferes with desired health outcomes. We conducted a retrospective study on 2819 residents of the 46 NHs between 1 January 2017 and 31 December 2018. Drug prescription was analysed according to European EU(7)-PIM list and START/STOPP list. We then linked each PIM to an appropriate type of DRP. Three months later, we requested the 'updated' drug prescriptions to assess whether the recommendations had been followed. A total of 17 850 prescription lines were registered. A DRP was identified for 25% of them. Following the second request, 13 NHs (28%) responded. About 26% (n = 1188) of the overall prescriptions lines identified as a DRP involved these 13 NHs, which resulted in a recommendation being made during the first MR. Data from the second MR suggested that 53.9% (n = 640) of recommendations were followed with the requested change: 32.0% involved drug withdrawal (n = 381), 9.7% concerned dose adjustment (n = 115) and 6.5% required drug changes (n = 77). Our results show the benefit impact of MR on the quality of drug prescription in older NH residents. MRs should be one of the tools used to improve drug prescriptions in the elderly.

Telephone and Smartphone-Based Interventions for Cognitive and Cardio-Metabolic Health in Middle-Aged and Older Adults: A Systematic Review.

Purpose: Dementia and cardio-metabolic diseases share many risk factors. Management of these risk factors could contribute to successful aging, including the prevention of cardio-metabolic disease and dementia. The increasing use of smartphones offers an opportunity for remote preventive interventions. We provided a systematic review of telephone and smartphone-based interventions targeting the prevention of cognitive decline, dementia cardio-metabolic diseases or their risk factors among adults aged over 50 years. Patients and Methods: We searched Pubmed and the International Clinical Trials Registry Platform for experimental studies. We used the Cochrane risk-of-bias tool (Version 2) for randomized trials or TREND (Transparent Reporting of Evaluations with Nonrandomized Designs) checklists to assess study quality for completed studies. Results: We analyzed 21 completed (3 for cognition, 18 for cardio-metabolic outcomes) and 50 ongoing studies (23 for cognition, 27 for cardio-metabolic outcomes). Smartphone interventions were used in 26 studies (3 completed, 23 ongoing). Other interventions involved telephone vocal support and text messaging. Few studies were at low risk of bias. There were heterogeneous cognitive and cardio-metabolic outcomes. The highest quality studies found no significant effects on cognition, and inconsistent results for HbA1c, blood pressure or physical activity. The lower quality-studies found effects on global cognition, working memory, memory and language and inconsistent results for clinical, biological or behavioral cardio-metabolic outcomes. Conclusion and Implications: Despite the large number of commercially available mobile health applications, the magnitude of the scientific evidence base remains very limited. Based on published studies, the added value of telephone and smartphone tools for the prevention of cardio-metabolic diseases, cognitive decline or dementia is currently uncertain, but, there are several ongoing studies expected to be completed in the coming years.

Implementation of the WHO integrated care for older people (ICOPE) programme in clinical practice: a prospective study.

BACKGROUND: The INSPIRE integrated care for older people (ICOPE)-CARE programme is a public health programme implementing the ICOPE health-care pathway in clinical practice. The primary objective of this study was to describe the large-scale implementation and feasibility of the INSPIRE ICOPE-CARE guidelines in clinical practice. The secondary aims were to describe the characteristics of patients who were identified as positive for abnormalities in intrinsic capacity (ie, locomotion, cognition, psychology, vitality, hearing, and vision) during step 1, and to describe the prevalence of these positive screenings. METHODS: In this prospective study, we evaluated a real-life population of users of primary care services in the Occitania region (France). Participants who were aged 60 years and older and lived in a community were eligible for inclusion in our study. Individuals aged ≥60 years were screened (step 1) by health-care providers or through self-assessments using digital tools (the ICOPE MONITOR app and the ICOPEBOT conversational robot). Our implementation strategy involved raising awareness among health-care professionals about the WHO ICOPE programme, training professionals in the ICOPE-CARE guidelines, and developing a digital infrastructure (ie, digital tools, a database, and a remote ICOPE monitoring platform). The feasibility of implementing the INSPIRE ICOPE-CARE guidelines was determined by the anticipated inclusion of ≥10 000 participants, and having a follow-up rate of over 50%. FINDINGS: Between Jan 1, 2020, and November 18, 2021, 10 903 older people (mean age 76·0, SD 10·5 years; 6627 [60·8%] of whom were women) had a baseline step 1 screening done, and 5185 (70·4%) of 7367 eligible participants had a 6-month follow-up of step 1 screening. 10 285 (94·3%) participants had a positive intrinsic capacity result during screening at baseline. 958 (9·3%) participants were evaluated with step 2 (in-depth assessments). Positive intrinsic capacity was confirmed in 865 (90·3%) participants. Most recommendations in step 3 (care plan) were related to locomotion, vitality, and cognition. INTERPRETATION: The high number of participants included in our study, as well as the high rates of follow-up, provides evidence to suggest that the large-scale implementation of ICOPE in clinical practice is feasible. The very high prevalence of positive screening for impaired intrinsic capacity during step 1, as well as the high rates of confirmed deficits in intrinsic capacity during step 2, suggest that the INSPIRE ICOPE-CARE programme is able to target individuals who are at increased risk for functional loss and disability. FUNDING: Occitania Regional Health Agency, Region Occitanie and Pyrénées-Méditerranée, European Regional Development Fund, and The Interreg Program V-A Spain-France-Andorra.

Mortality in hospitalised older patients: the WHALES short-term predictive score.

OBJECTIVE: To develop and validate the WHALES screening tool predicting short-term mortality (3 months) in older patients hospitalised in an acute geriatric unit. METHODS: Older patients transferred to an acute geriatric ward from June 2017 to December 2018 were included. The cohort was divided into two groups: derivation (n=664) and validation (n=332) cohorts. Cause for admission in emergency room, hospitalisation history within the previous year, ongoing medical conditions, cognitive impairment, frailty status, living conditions, presence of proteinuria on a urine strip or urine albumin-to-creatinine ratio and abnormalities on an ECG were collected at baseline. Multiple logistic regressions were performed to identify independent variables associated with mortality at 3 months in the derivation cohort. The prediction score was then validated in the validation cohort. RESULTS: Five independent variables available from medical history and clinical data were strongly predictive of short-term mortality in older adults including age, sex, living in a nursing home, unintentional weight loss and self-reported exhaustion. The screening tool was discriminative (C-statistic=0.74 (95% CI: 0.67 to 0.82)) and had a good fit (Hosmer-Lemeshow goodness-of-fit test (X2 (3)=0.55, p=0.908)). The area under the curve value for the final model was 0.74 (95% CI: 0.67 to 0.82). CONCLUSIONS AND IMPLICATIONS: The WHALES screening tool is a short and rapid tool predicting 3-month mortality among hospitalised older patients. Early identification of end of life may help appropriate timing and implementation of palliative care.

A Smart Shoe Insole to Monitor Frail Older Adults' Walking Speed: Results of Two Evaluation Phases Completed in a Living Lab and Through a 12-Week Pilot Study.

BACKGROUND: Recent World Health Organization reports propose wearable devices to collect information on activity and walking speed as innovative health indicators. However, mainstream consumer-grade tracking devices and smartphone apps are often inaccurate and require long-term acceptability assessment. OBJECTIVE: Our aim is to assess the user acceptability of an instrumented shoe insole in frail older adults. This device monitors participants' walking speed and differentiates active walking from shuffling after step length calibration. METHODS: A multiphase evaluation has been designed: 9 older adults were evaluated in a living lab for a day, 3 older adults were evaluated at home for a month, and a prospective randomized trial included 35 older adults at home for 3 months. A qualitative research design using face-to-face and phone semistructured interviews was performed. Our hypothesis was that this shoe insole was acceptable in monitoring long-term outdoor and indoor walking. The primary outcome was participants' acceptability, measured by a qualitative questionnaire and average time of insole wearing per day. The secondary outcome described physical frailty evolution in both groups. RESULTS: Living lab results confirmed the importance of a multiphase design study with participant involvement. Participants proposed insole modifications. Overall acceptability had mixed results: low scores for reliability (2.1 out of 6) and high scores for usability (4.3 out of 6) outcomes. The calibration phase raised no particular concern. During the field test, a majority of participants (mean age 79 years) were very (10/16) or quite satisfied (3/16) with the insole's comfort at the end of the follow-up. Participant insole acceptability evolved as follows: 63% (12/19) at 1 month, 50% (9/18) at 2 months, and 75% (12/16) at 3 months. A total of 9 participants in the intervention group discontinued the intervention because of technical issues. All participants equipped for more than a week reported wearing the insole every day at 1 month, 83% (15/18) at 2 months, and 94% (15/16) at 3 months for 5.8, 6.3, and 5.1 hours per day, respectively. Insole data confirmed that participants effectively wore the insole without significant decline during follow-up for an average of 13.5 days per 4 months and 5.6 hours per day. For secondary end points, the change in frailty parameters or quality of life did not differ for those randomly assigned to the intervention group compared to usual care. CONCLUSIONS: Our study reports acceptability data on an instrumented insole in indoor and outdoor walking with remote monitoring in frail older adults under real-life conditions. To date, there is limited data in this population set. This thin instrumentation, including a flexible battery, was a technical challenge and seems to provide an acceptable solution over time that is valued by participants. However, users still raised certain acceptability issues. Given the growing interest in wearable health care devices, these results will be useful for future developments. TRIAL REGISTRATION: ClinicalTrials.gov NCT02316600; https://clinicaltrials.gov/ct2/show/NCT02316600.

Improving Provision of Preanesthetic Information Through Use of the Digital Conversational Agent "MyAnesth": Prospective Observational Trial.

BACKGROUND: Due to time limitations, the preanesthetic consultation (PAC) is not the best time for patients to integrate information specific to their perioperative care pathway. OBJECTIVE: The main objectives of this study were to evaluate the effectiveness of a digital companion on patients' knowledge of anesthesia and their satisfaction after real-life implementation. METHODS: We conducted a prospective, monocentric, comparative study using a before-and-after design. In phase 1, a 9-item self-reported anesthesia knowledge test (Delphi method) was administered to patients before and after their PAC (control group: PAC group). In phase 2, the study was repeated immediately after the implementation of a digital conversational agent, MyAnesth (@+PAC group). Patients' satisfaction and their representations for anesthesia were also assessed using a Likert scale and the Abric method of hierarchized evocation. RESULTS: A total of 600 tests were distributed; 205 patients and 98 patients were included in the PAC group and @+PAC group, respectively. Demographic characteristics and mean scores on the 9-point preinformation test (PAC group: 4.2 points, 95% CI 3.9-4.4; @+PAC: 4.3 points, 95% CI 4-4.7; P=.37) were similar in the two groups. The mean score after receiving information was better in the @+PAC group than in the PAC group (6.1 points, 95% CI 5.8-6.4 points versus 5.2 points, 95% CI 5.0-5.4 points, respectively; P<.001), with an added value of 0.7 points (95% CI 0.3-1.1; P<.001). Among the respondents in the @+PAC group, 82% found the information to be clear and appropriate, and 74% found it easily accessible. Before receiving information, the central core of patients' representations for anesthesia was focused on the fear of being put to sleep and thereafter on caregiver skills and comfort. CONCLUSIONS: The implementation of our digital conversational agent in addition to the PAC improved patients' knowledge about their perioperative care pathway. This innovative audiovisual support seemed clear, adapted, easily accessible, and reassuring. Future studies should focus on adapting both the content and delivery of a digital conversational agent for the PAC in order to maximize its benefit to patients.

Acute Care of Older Patients with COVID-19: Clinical Characteristics and Outcomes.

(1) Background: COVID-19 has become a global pandemic and older patients present higher mortality rates. However, studies on the characteristics of this population set are limited. The objective of this study is to describe clinical characteristics and outcomes of older patients hospitalized with COVID-19. (2) Methods: This retrospective cohort study was conducted from March to May 2020 and took place in three acute geriatric wards in France. Older patients hospitalized for COVID-19 infections were included. We collected clinical, radiological, and laboratory outcomes. (3) Results: Ninety-four patients were hospitalized and included in the final analysis. Mean age was 85.5 years and 55% were female. Sixty-four (68%) patients were confirmed COVID-19 cases and 30 (32%) were probable. A majority of patients were dependent (77%), 45% were malnourished, and the mean number of comorbidities was high in accordance with the CIRS-G score (12.3 ± 25.6). The leading causes of hospitalization were fever (30%), dyspnea (28%), and geriatric syndromes (falls, delirium, malaise) (18%). Upon follow-up, 32% presented acute respiratory failure and 30% a geriatric complication. Frailty and geriatric characteristics were not correlated with mortality. Acute respiratory failure (p = 0.03) and lymphopenia (p = 0.02) were significantly associated with mortality. (4) Conclusions: Among older patients hospitalized with COVID-19, clinical presentations were frequently atypical and complications occurred frequently. Frailty and geriatric characteristics were not correlated with mortality.

Health workers perception on telemedicine in management of neuropsychiatric symptoms in long-term care facilities: Two years follow-up.

The management of neuropsychiatric symptoms is a challenge in long-term care facilities. Our objective was to assess the perception of telemedicine, as a useful tool to connect staff to specialized units. In this multicenter prospective study, 90 patients from ten facilities benefited from 180 sessions over two years. The primary outcome was the perception of telemedicine evaluated through semi-structured interviews at baseline and two years later. Our results revealed positive perceptions of telemedicine, confirmed after two years of real-life experience with its use. Not only do staff members believe that telemedicine is not a downgraded version of medicine, but they also believe that it could improve the quality of care. They expressed a very positive sense of recognition of their professional qualifications and indicated their need to be involved in change processes to ensure successful implementation and better adherence to telemedicine as a service.

[Potentially inappropriate medication: Adaptation of EU(7)PIM criteria to the French medical practice]. / Les médicaments potentiellement inappropriés : adaptation de la liste EU(7)PIM à la pratique médicale française.

OBJECTIVE: Improving the quality of prescribing in the elderly remains a permanent concern and a major opportunity to improve patient care. The objective of this article is to propose, from updated existing lists of potentially inappropriate medication (PIM), a list of PIM adapted to the French medical practice. METHOD: Combination of an explicit tool: the updated EU (7) PIM list published in 2015, adapted to the French medical practice (availability of drugs and validated indications), and an implicit tool: the recommendations of French National Health Authority (HAS) and more specifically the "alerte et maîtrise de la iatrogénie" (AMI) tools. RESULTS: From 289 PIM identified in the EU(7) PIM list, 183 drugs were included in our list according to our method. Three PIM were added to the list of "questionable" PIMs in accordance with the new French recommendations. A total of 90 PIMs were removed because of their indications or their non-commercialization in France. CONCLUSION: This work provides an adaptation of the EU(7)PIM to the French medical practice with the guidance of the HAS recommendations. This list is intended to be easy to use for the identification of PIMs by French physicians.

The Five W's of Falls: Weekly Online Health Survey of Community-Dwelling Older Adults: Analysis of 4 Years Prospective Follow-up.

BACKGROUND: An in-depth examination of prospectively collected falls details may facilitate more effective falls prevention. Who was involved? What happened? Where did the fall take place? When did it happen? Why did it occur? This study aimed to provide previously unavailable details about the circumstances surrounding fall events and their consequences. METHOD: A retrospective analysis of falls prospectively self-reported by older adults via an online weekly health form over 4 years. RESULTS: We collected 371 falls during the 4 year time period from 120 clinically characterized fallers (74% women, mean age 83.3 years). Most of the 371 falls occurred indoors (62%) and in well-lit areas (81%). Bedrooms were the most common places for in-home falls. Commonly observed precipitating factors included loss of balance, slipping or tripping. Almost one-third (31%) of falls were defined as injurious whereas 22% resulted in a change in the walking ability of which 26% led to the use of a cane or walker. Among falls that did not give rise to any formal health care intervention, 8% resulted in a modification of walking ability. CONCLUSIONS: A relatively high rate of fall-related injuries compared to the existing literature was observed. Online weekly surveys and the richness of details provided through these data capture method allowed us to identify falls that did not result in health care utilization but did result in decreased mobility. This finding suggests why some falls classified in the literature as noninjurious may nevertheless increase the risk of loss of autonomy and undesired outcomes.

When Will My Patient Fall? Sensor-Based In-Home Walking Speed Identifies Future Falls in Older Adults.

BACKGROUND: Although there are known clinical measures that may be associated with risk of future falls in older adults, we are still unable to predict when the fall will happen. Our objective was to determine whether unobtrusive in-home assessment of walking speed can detect a future fall. METHOD: In both ISAAC and ORCATECH Living Laboratory studies, a sensor-based monitoring system has been deployed in the homes of older adults. Longitudinal mixed-effects regression models were used to explore trajectories of sensor-based walking speed metrics in those destined to fall versus controls over time. Falls were captured during a 3-year period. RESULTS: We observed no major differences between those destined to fall (n = 55) and controls (n = 70) at baseline in clinical functional tests. There was a longitudinal decline in median daily walking speed over the 3 months before a fall in those destined to fall when compared with controls, p < .01 (ie, mean walking speed declined 0.1 cm s-1 per week). We also found prefall differences in sensor-based walking speed metrics in individuals who experienced a fall: walking speed variability was lower the month and the week just before the fall compared with 3 months before the fall, both p < .01. CONCLUSIONS: While basic clinical tests were not able to differentiate who will prospectively fall, we found that significant variations in walking speed metrics before a fall were measurable. These results provide evidence of a potential sensor-based risk biomarker of prospective falls in community living older adults.

Real-Time Detection of Behavioral Anomalies of Older People Using Artificial Intelligence (The 3-PEGASE Study): Protocol for a Real-Life Prospective Trial.

BACKGROUND: Most frail older persons are living at home, and we face difficulties in achieving seamless monitoring to detect adverse health changes. Even more important, this lack of follow-up could have a negative impact on the living choices made by older individuals and their care partners. People could give up their homes for the more reassuring environment of a medicalized living facility. We have developed a low-cost unobtrusive sensor-based solution to trigger automatic alerts in case of an acute event or subtle changes over time. It could facilitate older adults' follow-up in their own homes, and thus support independent living. OBJECTIVE: The primary objective of this prospective open-label study is to evaluate the relevance of the automatic alerts generated by our artificial intelligence-driven monitoring solution as judged by the recipients: older adults, caregivers, and professional support workers. The secondary objective is to evaluate its ability to detect subtle functional and cognitive decline and major medical events. METHODS: The primary outcome will be evaluated for each successive 2-month follow-up period to estimate the progression of our learning algorithm performance over time. In total, 25 frail or disabled participants, aged 75 years and above and living alone in their own homes, will be enrolled for a 6-month follow-up period. RESULTS: The first phase with 5 participants for a 4-month feasibility period has been completed and the expected completion date for the second phase of the study (20 participants for 6 months) is July 2020. CONCLUSIONS: The originality of our real-life project lies in the choice of the primary outcome and in our user-centered evaluation. We will evaluate the relevance of the alerts and the algorithm performance over time according to the end users. The first-line recipients of the information are the older adults and their care partners rather than health care professionals. Despite the fast pace of electronic health devices development, few studies have addressed the specific everyday needs of older adults and their families. TRIAL REGISTRATION: ClinicalTrials.gov NCT03484156; https://clinicaltrials.gov/ct2/show/NCT03484156. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/14245.

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

Health care systems face an expansion in the number of older individuals with a high prevalence of neurodegenerative diseases and related behavioral and psychological symptoms of dementia (BPSDs). Health care providers are expected to develop innovative solutions to manage and follow up patients over time in the community. To date, we are unable to continuously and accurately monitor the nature, frequency, severity, impact, progression, and response to treatment of BPSDs after the initial assessment. Technology could address this need and provide more sensitive, less biased, and more ecologically valid measures. This could provide an opportunity to reevaluate therapeutic strategies more quickly and, in some cases, to treat earlier, when symptoms are still amenable to therapeutic solutions or even prevention. Several studies confirm the relationship between sensor-based data and cognition, mood, and behavior. Most scientific work on mental health and technologies supports digital biomarkers, not so much as diagnostic tools but rather as monitoring tools, an area where unmet needs are significant. In addition to the implications for clinical care, these real-time measurements could lead to the discovery of new early biomarkers in mental health. Many also consider digital biomarkers as a way to better understand disease processes and that they may contribute to more effective pharmaceutical research by (i) targeting the earliest stage, (ii) reducing sample size required, (iii) providing more objective measures of behaviors, (iv) allowing better monitoring of noncompliance, (v) and providing a better understanding of failures. Finally, communication technologies provide us with the opportunity to support and renew our clinical and research practices.

Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review.

BACKGROUND: Among areas that have challenged the progress of dementia care has been the assessment of change in symptoms over time. Digital biomarkers are defined as objective, quantifiable, physiological, and behavioral data that are collected and measured by means of digital devices, such as embedded environmental sensors or wearables. Digital biomarkers provide an alternative assessment approach, as they allow objective, ecologically valid, and long-term follow-up with continuous assessment. Despite the promise of a multitude of sensors and devices that can be applied, there are no agreed-upon standards for digital biomarkers, nor are there comprehensive evidence-based results for which digital biomarkers may be demonstrated to be most effective. OBJECTIVE: In this review, we seek to answer the following questions: (1) What is the evidence for real-life, home-based use of technologies for early detection and follow-up of mild cognitive impairment (MCI) or dementia? And (2) What transformation might clinicians expect in their everyday practices? METHODS: A systematic search was conducted in PubMed, Cochrane, and Scopus databases for papers published from inception to July 2018. We searched for studies examining the implementation of digital biomarker technologies for mild cognitive impairment or mild Alzheimer disease follow-up and detection in nonclinic, home-based settings. All studies that included the following were examined: community-dwelling older adults (aged 65 years or older); cognitively healthy participants or those presenting with cognitive decline, from subjective cognitive complaints to early Alzheimer disease; a focus on home-based evaluation for noninterventional follow-up; and remote diagnosis of cognitive deterioration. RESULTS: An initial sample of 4811 English-language papers were retrieved. After screening and review, 26 studies were eligible for inclusion in the review. These studies ranged from 12 to 279 participants and lasted between 3 days to 3.6 years. Most common reasons for exclusion were as follows: inappropriate setting (eg, hospital setting), intervention (eg, drugs and rehabilitation), or population (eg, psychiatry and Parkinson disease). We summarized these studies into four groups, accounting for overlap and based on the proposed technological solutions, to extract relevant data: (1) data from dedicated embedded or passive sensors, (2) data from dedicated wearable sensors, (3) data from dedicated or purposive technological solutions (eg, games or surveys), and (4) data derived from use of nondedicated technological solutions (eg, computer mouse movements). CONCLUSIONS: Few publications dealt with home-based, real-life evaluations. Most technologies were far removed from everyday life experiences and were not mature enough for use under nonoptimal or uncontrolled conditions. Evidence available from embedded passive sensors represents the most relatively mature research area, suggesting that some of these solutions could be proposed to larger populations in the coming decade. The clinical and research communities would benefit from increasing attention to these technologies going forward.

Association between anticholinergic (atropinic) drug exposure and cognitive function in longitudinal studies among individuals over 50 years old: a systematic review.

PURPOSE: With increasing age, adults are often exposed to anticholinergic drugs and are prone to potential adverse drug reaction, among which cognitive impairment. If the short-term cognitive effects of anticholinergic drugs are well established, their long-term cognitive effects have less been studied. OBJECTIVE: To provide a systematic review of longitudinal studies which assessed the effect of anticholinergic exposure on cognition in individuals over 50 years. MATERIALS: We searched the MEDLINE database for studies with a minimal 6-month follow-up, assessing anticholinergic exposure through a biological measure or a clinical list and reporting at least one cognitive outcome. We used the modified Newcastle-Ottawa scale and additional criteria regarding the anticholinergic exposure to assess studies' methodological quality. Given the heterogeneity of the studies, we performed a systematic review. RESULTS: Among the 1574 references retrieved, 25 studies were included. Anticholinergic medications were mostly defined through the Anticholinergic Cognitive Burden Scale (n = 14/25). Six studies evaluated baseline drug collection, 14 used longitudinal aggregated measure, and 5 multiple drug exposure measures over time. Seventeen studies assessed anticholinergic burden. Cognitive function was assessed by mild cognitive impairment/dementia incidence (n = 15) or neuropsychological tests (n = 14). Most studies were of poor quality and retrieved discordant results. However, studies with good quality (n = 4) suggested a relationship between anticholinergic drug exposure and/or burden and cognitive function. CONCLUSION: Our review suggests a deleterious effect of anticholinergic exposure on mid/long-term cognitive function but should be confirmed in studies with improved methodology. Meanwhile, prescription of anticholinergic drugs should remain cautious.

A smartphone Chatbot application to optimize monitoring of older patients with cancer.

BACKGROUND: Almost two thirds of patients diagnosed with cancer are age 65 years or older. In order to follow up on older patients with cancer receiving chemotherapy at home, we implemented remote phone monitoring conducted by skilled oncology nurses. However, given the rising number of patients assessed and the limited time that hospital professionals can spend on their patients after discharge, we needed to modernize this program. In this paper we present the preliminary results and the ongoing evaluation. METHOD: We implemented a semi-automated messaging application to upgrade the current follow-up procedures. The primary aim is to collect patient's key data over time and to free up nurses' time so that during phone calls they can focus on education and support. The Chatbot feasibility was assessed in a sub-sample of unselected patients before its wider dissemination and pragmatic evaluation. MAIN RESULTS: During the first deployment period, 9 unselected patients benefited from the Chatbot (mean 83 y.o.) with a total of 52 completed remote evaluations. Each participant answered 6 questionnaires over 7 weeks with an 86% compliance rate. The average completion time for the questionnaires was 3.5 min and the answer rate was 100%. The 'free text' field was used in 58% of the questionnaires. The Chatbot solution is currently proposed to all eligible patients thanks to the regional cancer network support. We are measuring acceptability, health outcomes and health network impact. DISCUSSION AND CONCLUSION: The results of this first phase are encouraging. The integration of the solution into the health care organization was feasible and acceptable. Moreover, the answers revealed serious health (e.g. fever) or adherence (e.g. blood test) issues that require timely interventions. The major strength of this solution is to rely on end-users' current knowledge of technologies (text-messaging), which allows a seamless integration into a complex clinical network.