Continuous Glucose Monitoring and Other Wearable Devices to Assess Hypoglycemia among Older Adult Outpatients with Diabetes Mellitus.

BACKGROUND: Hypoglycemia (HG) causes symptoms that can be fatal, and confers risk of dementia. Wearable devices can improve measurement and feedback to patients and clinicians about HG events and risk. OBJECTIVES: The aim of the study is to determine whether vulnerable older adults could use wearables, and explore HG frequency over 2 weeks. METHODS: First, 10 participants with diabetes mellitus piloted a continuous glucometer, physical activity monitor, electronic medication bottles, and smartphones facilitating prompts about medications, behaviors, and symptoms. They reviewed graphs of glucose values, and were asked about the monitoring experience. Next, a larger sample (N = 70) wore glucometers and activity monitors, and used the smartphone and bottles, for 2 weeks. Participants provided feedback about the devices. Descriptive statistics summarized demographics, baseline experiences, behaviors, and HG. RESULTS: In the initial pilot, 10 patients aged 50 to 85 participated. Problems addressed included failure of the glucometer adhesive. Patients sought understanding of graphs, often requiring some assistance with interpretation. Among 70 patients in subsequent testing, 67% were African-American, 59% were women. Nearly one-fourth (23%) indicated that they never check their blood sugars. Previous HG was reported by 67%. In 2 weeks of monitoring, 73% had HG (glucose ≤70 mg/dL), and 42% had serious, clinically significant HG (glucose under 54 mg/dL). Eight patients with HG also had HG by home-based blood glucometry. Nearly a third of daytime prompts were unanswered. In 24% of participants, continuous glucometers became detached. CONCLUSION: Continuous glucometry occurred for 2 weeks in an older vulnerable population, but devices posed wearability challenges. Most patients experienced HG, often serious in magnitude. This suggests important opportunities to improve wearability and decrease HG frequency among this population.

Context-Sensitive Ecological Momentary Assessment: Application of User-Centered Design for Improving User Satisfaction and Engagement During Self-Report.

BACKGROUND: Ecological momentary assessment (EMA) can be a useful tool for collecting real-time behavioral data in studies of health and health behavior. However, EMA administered through mobile technology can be burdensome, and it tends to suffer from suboptimal user engagement, particularly in low health-literacy populations. OBJECTIVE: This study aimed to report a case study involving the design and evaluation of a mobile EMA tool that supports context-sensitive EMA-reporting of location and social situations accompanying eating and sedentary behavior. METHODS: An iterative, user-centered design process with obese, middle-aged women seeking care in a safety-net health system was used to identify the preferred format of self-report measures and the look, feel, and interaction of the mobile EMA tool. A single-arm feasibility field trial with 21 participants receiving 12 prompts each day for momentary self-reports over a 4-week period (336 total prompts per participant) was used to determine user satisfaction with interface quality and user engagement, operationalized as response rate. A second trial among 38 different participants randomized to receive or not to receive a feature designed to improve engagement was conducted. RESULTS: The feasibility trial results showed high interface satisfaction and engagement, with an average response rate of 50% over 4 weeks. Qualitative feedback pointed to the need for auditory alerts. We settled on 3 alerts at 10-min intervals to accompany each EMA-reporting prompt. The second trial testing this feature showed a statistically significant increase in the response rate between participants randomized to receive repeat auditory alerts versus those who were not (60% vs 40%). CONCLUSIONS: This paper reviews the design research and a set of design constraints that may be considered in the creation of mobile EMA interfaces personalized to users' preferences. Novel aspects of the study include the involvement of low health-literacy adults in design research, the capture of data on time, place, and social context of eating and sedentary behavior, and reporting prompts tailored to an individual's location and schedule. TRIAL REGISTRATION: ClinicalTrials.gov NCT03083964; https://clinicaltrials.gov/ct2/show/NCT03083964.

Understanding older adults' medication decision making and behavior: A study on over-the-counter (OTC) anticholinergic medications.

BACKGROUND: Older adults purchase and use over-the-counter (OTC) medications with potentially significant adverse effects. Some OTC medications, such as those with anticholinergic effects, are relatively contraindicated for use by older adults due to evidence of impaired cognition and other adverse effects. OBJECTIVE: To inform the design of future OTC medication safety interventions for older adults, this study investigated consumers' decision making and behavior related to OTC medication purchasing and use, with a focus on OTC anticholinergic medications. METHODS: The study had a cross-sectional design with multiple methods. A total of 84 adults participated in qualitative research interviews (n = 24), in-store shopper observations (n = 39), and laboratory-based simulated OTC shopping tasks (n = 21). Simulated shopping participants also rank-ordered eight factors on their importance for OTC decision making. RESULTS: Findings revealed that many participants had concerns about medication adverse effects, generally, but were not aware of age-related risk associated with the use of anticholinergic medications. Analyses produced a map of the workflow of OTC-related behavior and decision making as well as related barriers such as difficulty locating medications or comparing them to an alternative. Participants reported effectiveness, adverse effects or health risks, and price as most important to their OTC medication purchase and use decisions. A persona analysis identified two types of consumers: the habit follower, who frequently purchased OTC medications and considered them safe; and the deliberator, who was more likely to weigh their options and consider alternatives to OTC medications. CONCLUSION: A conceptual model of OTC medication purchase and use is presented. Drawing on study findings and behavioral theories, the model depicts dual processes for OTC medication decision making - habit-based and deliberation-based - as well as the antecedents and consequences of decision making. This model suggests several design directions for consumer-oriented interventions to promote OTC medication safety.

Addressing people and place microenvironments in weight loss disparities (APP-Me): Design of a randomized controlled trial testing timely messages for weight loss behavior in low income Black and White Women.

BACKGROUND: Behavioral interventions for weight loss have been less effective in lower income and black women. These poorer outcomes may in part be related to these women having more frequent exposures to social and physical situations that are obesogenic, i.e., eating and sedentary cues or situations. OBJECTIVES: Working with obese, lower income Black and White Women, Addressing People and Place Microenvironments (APP-Me) was designed to create awareness of self-behavior at times and places of frequent eating and sedentary behavior. DESIGN: APP-Me is being evaluated in a randomized controlled trial with 240 participants recruited from federally qualified health centers located in a single Midwestern city. All participants complete four weeks of ecological momentary assessments (EMA) of situations and behavior. At the end of the four weeks, participants are randomized to enhanced usual care (UC) or UC plus APP-Me. METHODS: APP-Me is an automated short messaging system (SMS). Messages are text, image, audio, or a combination, and are delivered to participants' mobile devices with the intent of creating awareness at the times and places of frequent eating or sedentary behavior. The EMA data inform the timing of message deliveries. SUMMARY: This project aims to create and test timely awareness messages in a subpopulation that has not responded well to traditional behavioral interventions for weight loss. Novel aspects of the study include the involvement of a low income population, the use of data on time and place of obesogenic behavior, and message delivery time tailored to an individual's behavioral patterns.

Human factors analysis, design, and evaluation of Engage, a consumer health IT application for geriatric heart failure self-care.

Human factors and ergonomics (HFE) and related approaches can be used to enhance research and development of consumer-facing health IT systems, including technologies supporting the needs of people with chronic disease. We describe a multiphase HFE study of health IT supporting self-care of chronic heart failure by older adults. The study was based on HFE frameworks of "patient work" and incorporated the three broad phases of user-centered design: study or analysis; design; and evaluation. In the study phase, data from observations, interviews, surveys, and other methods were analyzed to identify gaps in and requirements for supporting heart failure self-care. The design phase applied findings from the study phase throughout an iterative process, culminating in the design of the Engage application, a product intended for continuous use over 30 days to stimulate self-care engagement, behavior, and knowledge. During the evaluation phase, we identified a variety of usability issues through expert heuristic evaluation and laboratory-based usability testing. We discuss the implications of our findings regarding heart failure self-care in older adults and the methodological challenges of rapid translational field research and development in this domain.

User-Centered Evaluations with Older Adults: Testing the Usability of a Mobile Health System for Heart Failure Self-Management.

Many older adults living with heart failure struggle to follow recommended self-management routines. To help older adults with heart failure more effectively and efficiently self-manage their disease, we developed Engage, a mobile health application promoting the performance, logging, and sharing of routine self-management behaviors. This paper reports on the usability evaluation of the Engage system with 15 older adults with heart failure and informal caregivers. In two phases, participants used Engage during a task-based usability test (n=5) and a scenario-based usability test (n=10). Usability and performance data were assessed through video-recorded observation and the administration of the system usability scale (SUS) and NASA Task Load Index (TLX). We found that task-based testing was useful in quickly identifying problems within our application, but scenario-based testing elicited more valuable feedback from older adults. A comparison of the different evaluation methods used and the discussion of the challenges encountered provide multiple implications for the practice of usability testing of mobile health products with older adults.

Better managing technology-mediated interruptions in the ICU: Examining the role of patient information for improving text message notifications.

Previous research has identified the need for managing wanted and unwanted interruptions from technology- mediated notifications (TMN) in the intensive care units (ICUs). Current solutions are focused on mobile, asynchronous and context-aware mechanisms that consider a minimal number of factors (location and activity of the receiver). These factors are insufficient for a receiver to effectively decide on whether or not to interrupt their ongoing activities to immediately respond to a TMN. We propose a mobile device solution, known as "patient- enhanced notifications " that presents a preview of TMN with additional patient information. A study comprising of user evaluations and interview sessions helped ascertain that patient vital signs coupled with the actual text message assisted receiving ICU providers in deciding on when to respond to the TMN. We conclude that patient- enhanced notifications has the potential to help ICU clinicians better manage interruptions generated from mobile devices.

Supporting Clinical Cognition: A Human-Centered Approach to a Novel ICU Information Visualization Dashboard.

Advances in intensive care unit bedside displays/interfaces and electronic medical record (EMR) technology have not adequately addressed the topic of visual clarity of patient data/information to further reduce cognitive load during clinical decision-making. We responded to these challenges with a human-centered approach to designing and testing a decision-support tool: MIVA 2.0 (Medical Information Visualization Assistant, v.2). Envisioned as an EMR visualization dashboard to support rapid analysis of real-time clinical data-trends, our primary goal originated from a clinical requirement to reduce cognitive overload. In the study, a convenience sample of 12 participants were recruited, in which quantitative and qualitative measures were used to compare MIVA 2.0 with ICU paper medical-charts, using time-on-task, post-test questionnaires, and interviews. Findings demonstrated a significant difference in speed and accuracy with the use of MIVA 2.0. Qualitative outcomes concurred, with participants acknowledging the potential impact of MIVA 2.0 for reducing cognitive load and enabling more accurate and quicker decision-making.

The Uncanny Valley Does Not Interfere with Level 1 Visual Perspective Taking.

When a computer-animated human character looks eerily realistic, viewers report a loss of empathy; they have difficulty taking the character's perspective. To explain this perspective-taking impairment, known as the uncanny valley, a novel theory is proposed: The more human or less eerie a character looks, the more it interferes with level 1 visual perspective taking when the character's perspective differs from that of the human observer (e.g., because the character competitively activates shared circuits in the observer's brain). The proposed theory is evaluated in three experiments involving a dot-counting task in which participants either assumed or ignored the perspective of characters varying in their human photorealism and eeriness. Although response times and error rates were lower when the number of dots faced by the observer and character were the same (congruent condition) than when they were different (incongruent condition), no consistent pattern emerged between the human photorealism or eeriness of the characters and participants' response times and error rates. Thus, the proposed theory is unsupported for level 1 visual perspective taking. As the effects of the uncanny valley on empathy have not previously been investigated systematically, these results provide evidence to eliminate one possible explanation.