Designing an over-the-counter consumer decision-making tool for older adults.

PURPOSE: Older adults are at increased risk of adverse drug events due to medication. Older adults tend to take more medication and are at higher risk of chronic illness. Over-the-counter (OTC) medication does not require healthcare provider oversight and understanding OTC information is heavily dependent on a consumer's ability to understand and use the medication appropriately. Coupling health technology with effective communication is one approach to address the challenge of communicating health and improving health related tasks. However, the success of many health technologies also depends on how well the technology is designed and how well it addresses users needs. This is especially true for the older adult population. This paper describes (1) a formative study performed to understand how to design novel health technology to assist older adults with OTC medication information, and (2) how a user-centered design process helped to refine the initial assumptions of user needs and help to conceptualize the technology. METHODS: An iterative design process was used. The process included two brainstorming and review sessions with human-computer interaction researchers and design sessions with older adults in the form of semi-structured interviews. Methods and principles of user-centered research and design were used to inform the research design. Two researchers with expertise in human-computer interaction performed expert reviews of early system prototypes. After initial prototypes were developed, seven older adults were engaged in semi-structured interviews to understand usability concerns and features and functionality older adults may find useful for selecting appropriate OTC medication. RESULTS: Eight usability concerns were discovered and addressed in the two rounds of expert review, and nine additional usability concerns were discovered in design sessions with older adults. Five themes emerged from the interview transcripts as recommendations for design. These recommendations represent opportunities for technology such as the one described in this paper to support older adults in the OTC decision-making process. DISCUSSION: This paper illustrates the use of an iterative user-centered process in the formative stages of design and its usefulness for understanding aspects of the technology design that are useful to older adults when making decisions about OTC medication. The technology support mechanisms included in the initial model were revised based on the results from the iterative design sessions and helped to refine and conceptualize the system being designed.

Applications of Mobile Health Technologies to Address Cardiometabolic Health Disparities in the United States: A Systematic Review.

Introduction: Black and Hispanic adults are disproportionately burdened by cardiometabolic disorders. The aim of this systematic review was to examine the effectiveness of mobile health technologies to promote disease prevention and self-management among US adults in diverse communities. Methods: Potential studies were identified using a comprehensive search of the PubMed and EMBASE databases for recent studies published from December 2018 through 2021. Keywords and search strategies were established to focus on health disparity populations and the application of mobile health technology for cardiovascular disease risk reduction. Titles and abstracts were assessed and, if a study was eligible, 2 independent reviewers completed a full-length review with extraction in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results: A total of 13 studies met our inclusion criteria. Study sample sizes ranged from 8 to 533 baseline participants. Studies were conducted in diverse communities (eg, North Carolina and California). Most studies used mobile applications (n=11) and a majority used accelerometers or similar technologies (eg, smartwatches) to assess changes in dietary behavior, blood pressure control, and physical activity. Overall, studies reported positive associations between mobile technology use and risk factor reduction actions and behaviors. Long-term adherence varied across studies. Those that prioritized culturally tailored approaches reported more significant impacts than those that did not. Conclusions: Evidence suggests that mobile technology may be useful in promoting disease self-management and risk reduction among populations at higher risk of cardiometabolic diseases. The use of mobile health technologies, particularly when tailored to target populations, may be a practical approach to advancing population health equity.