Wearables for Stress Management: A Scoping Review.

In recent years, wearable devices have been increasingly used to monitor people's health. This has helped healthcare professionals provide timely interventions to support their patients. In this study, we investigated how wearables help people manage stress. We conducted a scoping review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) standard to address this question. We searched studies in Scopus, IEEE Explore, and Pubmed databases. We included studies reporting user evaluations of wearable-based strategies, reporting their impact on health or usability outcomes. A total of 6259 studies were identified, of which 40 met the inclusion criteria. Based on our findings, we identified that 21 studies report using commercial wearable devices; the most common are smartwatches and smart bands. Thirty-one studies report significant stress reduction using different interventions and interaction modalities. Finally, we identified that the interventions are designed with the following aims: (1) to self-regulate during stress episodes, (2) to support self-regulation therapies for long-term goals, and (3) to provide stress awareness for prevention, consisting of people's ability to recall, recognize and understand their stress.

A Participatory Sensing Study to Understand the Problems Older Adults Faced in Developing Medication-Taking Habits.

Past research has demonstrated that older adults tend to use daily activities as cues to remember to take medications. However, they may still experience medication non-adherence because they did not select adequate contextual cues or face situations that interfere with their medication routines. This work addresses two research questions: (1) How does the association that older adults establish between their daily routines and their medication taking enable them to perform it consistently? (2) What problems do they face in associating daily routines with medication taking? For 30 days, using a mixed-methods approach, we collected quantitative and qualitative data from four participants aged 70-73 years old about their medication taking. We confirm that older adults who matched their medication regimens to their habitual routines obtained better results on time-based consistency measures. The main constraints for using daily routines as contextual cues were the insertion of medication taking into broad daily routines, the association of multiple daily routines with medication taking, the lack of strict daily routines, and the disruption of daily routines. We argue that the strategies proposed by the literature for forming medication-taking habits should support their formulation by measuring patients' dosage patterns and generating logs of their daily activities.

Integration of persuasive elements into exergames: Application in the development of a novel gait rehabilitation system for children with musculoskeletal conditions.

The main contribution of this paper is the application of the Persuasive System Design (PSD) model for the analysis and development of exergame systems to stimulate pediatric patients to adhere to short-term gait rehabilitation. It resulted in a novel therapy consisting of a video gaming and virtual reality (VG/VR) biofeedback system for treadmill gait rehabilitation, including a method for progressing the rehabilitation settings. During gait rehabilitation (GR) sessions, therapy settings need to be adjusted by physiotherapists, based on their clinical experience, to address the deficiencies of individuals while maximizing their motor functioning and maintaining their motivation. The system integrates persuasive elements, adjusted when physiotherapists progress the therapeutic settings, such as the treadmill speed, auditory feedback, and game challenges. We followed a scenario-based design method to develop the system, which comprised an observational study of conventional GR sessions and evaluations with 6 and 9 rehabilitation specialists who provided feedback about the system design. They perceived that the proposed method was valuable for physiotherapists to adapt the rehabilitation based on the children's performance. Also, they remarked that the system's visual and auditory stimulus would help engage the children in the therapy.

Stimulating the Involvement of Family Members in the Medication Management Activities of Older Adults Through Ambient Displays: Qualitative Study.

Little attention has been paid to how medication management technologies, designed for older adults, modify the participation of family caregivers. We developed a tablet-based ambient display that provides external cues to remind and motivate older adults to take their medications. This study aimed to understand the effect of ambient displays on the involvement of family members in the elderly's medication management. We conducted a 10-week study consisting of interviews administered weekly to nine elderly-caregivers. We identify that new involvement patterns of the family caregivers were provoked through external cues, which made them aware of older adults' medication adherence and encouraged younger relatives to help older adults.

Supporting the Medication Adherence of Older Mexican Adults Through External Cues Provided With Ambient Displays: Feasibility Randomized Controlled Trial.

BACKGROUND: Problems with prospective memory, which refers to the ability to remember future intentions, cause deficits in basic and instrumental activities of daily living, such as taking medications. Older adults show minimal deficits when they rely on mostly preserved and relatively automatic associative retrieval processes. On the basis of this, we propose to provide external cues to support the automatic retrieval of an intended action, that is, to take medicines. To reach this end, we developed the Medication Ambient Display (MAD), a system that unobtrusively presents relevant information (unless it requires the users' attention) and uses different abstract modalities to provide external cues that enable older adults to easily take their medications on time and be aware of their medication adherence. OBJECTIVE: This study aimed to assess the adoption and effect of external cues provided through ambient displays on medication adherence in older adults. METHODS: A total of 16 older adults, who took at least three medications and had mild cognitive impairment, participated in the study. We conducted a 12-week feasibility study in which we used a mixed methods approach to collect qualitative and quantitative evidence. The study included baseline, intervention, and postintervention phases. Half of the participants were randomly allocated to the treatment group (n=8), and the other half was assigned to the control group (n=8). During the study phases, research assistants measured medication adherence weekly through the pill counting technique. RESULTS: The treatment group improved their adherence behavior from 80.9% at baseline to 95.97% using the MAD in the intervention phase. This decreased to 76.71% in the postintervention phase when the MAD was no longer being used. Using a one-way repeated measures analysis of variance and a post hoc analysis using the Tukey honestly significant difference test, we identified a significant statistical difference between the preintervention and intervention phases (P=.02) and between the intervention and postintervention phases (P=.002). In addition, the medication adherence rate of the treatment group (95.97%) was greater than that of the control group (88.18%) during the intervention phase. Our qualitative results showed that the most useful cues were the auditory reminders, followed by the stylized representations of medication adherence. We also found that the MAD's external cues not only improved older adults' medication adherence but also mediated family caregivers' involvement. CONCLUSIONS: The findings of this study demonstrate that using ambient modalities for implementing external cues is useful for drawing the attention of older adults to remind them to take medications and to provide immediate awareness on adherence behavior. TRIAL REGISTRATION: ClinicalTrials.gov NCT04289246; https://tinyurl.com/ufjcz97.

Use and Adoption of an Assisted Cognition System to Support Therapies for People with Dementia.

The cognitive deficits in persons with dementia (PwD) can produce significant functional impairment from early stages. Although memory decline is most prominent, impairments in attention, orientation, language, reasoning, and executive functioning are also common. Dementia is also characterized by changes in personality and behavioral functioning that can be very challenging for caregivers and patients. This paper presents results on the use and adoption of an assisted cognition system to support occupational therapy to address psychological and behavioral symptoms of dementia. During 16 weeks, we conducted an in situ evaluation with two caregiver-PwD dyads to assess the adoption and effectiveness of the system to ameliorate challenging behaviors and reducing caregiver burden. Evaluation results indicate that intervention personalization and a touch-based interface encouraged the adoption of the system, helping reduce challenging behaviors in PwD and caregiver burden.

Understanding the use of contextual cues: design implications for medication adherence technologies that support remembering.

OBJECTIVE: Forgetfulness is one of the main reasons of unintentional medication non-adherence. Adherence technologies that help people remember to take their medications on time often do not take into account the context of people's everyday lives. Existing evidence that highlights the effectiveness of remembering strategies that rely on contextual cues is largely based on research with older adults, and thus it is not clear whether it can be generalized to other populations or used to inform the design of wider adherence technologies that support medication self-management. Understanding how younger populations currently remember medications can inform the design of future adherence technologies that take advantage of existing contextual cues to support remembering. METHODS: We conducted three surveys with a total of over a thousand participants to investigate remembering strategies used by different populations: women who take oral contraception, parents and carers who give antibiotics to their children, and older adults who take medications for chronic conditions. RESULTS: Regardless of the population or the type of regimen, relying on contextual cues-routine events, locations, and meaningful objects-is a common and often effective strategy; combinations of two or more types of cues are more effective than relying on a single cue. CONCLUSIONS: To effectively support remembering, adherence technologies should help users recognize contextual cues they already have at their disposal and reinforce relevant cues available in their environment. We show that, given the latest developments in technology, such support is already feasible.

Intervention tailoring in augmented cognition systems for elders with dementia.

We present an approach for personalizing nonpharmacological interventions for people with dementia (PwD) using ontologies. We conducted two case studies to derive an ontological model to personalize the planning and execution of interventions to address problematic behaviors. The paper describes how the ontology was derived, and illustrates how it is used to tailor an ambient-assisted intervention system (AAIS) at two stages: first, to decide on the services that the AAIS will offer the PwD, and then to adapt these services at runtime using contextual information. The results of a deployment of an AAIS during 2 months in the home of a PwD, indicate that the AAIS successfully addressed some of the problematic behaviors exhibited by the PwD, helping to reduce the burden of the caregiver.

Nurse home visits with or without alert buttons versus usual care in the frail elderly: a randomized controlled trial.

OBJECTIVE: To assess whether an intervention based on nurse home visits including alert buttons (NV+AB) is effective in reducing frailty compared to nurse home visits alone (NV-only) and usual care (control group) for older adults. DESIGN: Unblinded, randomized, controlled trial. SETTING: Insured population covered by the Mexican Social Security Institute living in the city of Ensenada, Baja California, Mexico. PARTICIPANTS: Patients were aged over 60 years with a frailty index score higher than 0.14. INTERVENTION: After screening and informed consent, participants were allocated randomly to the control, NV+AB, or NV-only groups. MEASUREMENTS: The primary outcome was the frailty score 9 months later. Quality of life, depression, comorbidities, health status, and health service utilization were also considered. RESULTS: The framing sample included 819 patients. Of those, 591 were not located because they did not have a landline/telephone (341 patients), they had died (107), they were ill (50), or they were not currently living in the city (28). A screening interview was applied to 228 participants, and 57 had a score ≤0.14, 171 had ≥0.14, and 16 refused to complete the baseline questionnaire. A home visit was scheduled for 155 patients. However, 22 did not complete the baseline questionnaire. The final 133 subjects were randomized into the NV+AB (n = 45), NV-only (n = 44), and control (n = 44) groups. There were no statistically significant differences in the baseline characteristics of the groups. The mean age overall was 76.3 years (standard deviation 4.7) and 45% were men. At the baseline, 61.65% were classified as frail. At end of follow-up the adjusted prevalence of frailty in NV+AB group was 23.3% versus 58.3% in the control group. CONCLUSION: An intervention based on NV+AB seems to have a positive effect on frailty scores.

Activity inference for Ambient Intelligence through handling artifacts in a healthcare environment.

Human activity inference is not a simple process due to distinct ways of performing it. Our proposal presents the SCAN framework for activity inference. SCAN is divided into three modules: (1) artifact recognition, (2) activity inference, and (3) activity representation, integrating three important elements of Ambient Intelligence (AmI) (artifact-behavior modeling, event interpretation and context extraction). The framework extends the roaming beat (RB) concept by obtaining the representation using three kinds of technologies for activity inference. The RB is based on both analysis and recognition from artifact behavior for activity inference. A practical case is shown in a nursing home where a system affording 91.35% effectiveness was implemented in situ. Three examples are shown using RB representation for activity representation. Framework description, RB description and CALog system overcome distinct problems such as the feasibility to implement AmI systems, and to show the feasibility for accomplishing the challenges related to activity recognition based on artifact recognition. We discuss how the use of RBs might positively impact the problems faced by designers and developers for recovering information in an easier manner and thus they can develop tools focused on the user.

Location-aware access to hospital information and services.

Hospital workers are highly mobile; they are constantly changing location to perform their daily work, which includes visiting patients, locating resources, such as medical records, or consulting with other specialists. The information required by these specialists is highly dependent on their location. Access to a patient's laboratory results might be more relevant when the physician is near the patient's bed and not elsewhere. We describe a location-aware medical information system that was developed to provide access to resources such as patient's records or the location of a medical specialist, based on the user's location. The system is based on a handheld computer which includes a trained backpropagation neural-network used to estimate the user's location and a client to access information from the hospital information system that is relevant to the user's current location.