Assessing the Acceptability and Effectiveness of a Novel Therapeutic Footwear in Reducing Foot Pain and Improving Function among Older Adults: A Crossover Randomized Controlled Trial.

INTRODUCTION: Nearly, a quarter of older adults suffer from frequent foot pain, impacting their quality of life. While proper footwear can alleviate this, design issues often hinder regular use. This study evaluated novel therapeutic footwear, designed for aesthetics and custom fit, to reduce foot pain. We hypothesized that older adults would experience less foot pain and favor the new footwear over their own. METHODS: This 12-week crossover randomized controlled trial evaluated the effectiveness of OrthoFeet therapeutic footwear on reducing foot pain in older adults (n = 50, age = 65 ± 5, 18% male) with moderate to severe pain. Participants were assigned to either the AB or BA sequence. In AB, they wore OrthoFeet shoes for 6 weeks and then their own shoes for another 6 weeks; BA followed the reverse order. Pain and function were measured using the Foot Function Index. Acceptability was assessed through a technology acceptance model (TAM) questionnaire. Data collected at baseline, six, and 12 weeks were analyzed using t tests, χ2 tests, and generalized linear model. RESULTS: Compared to participants' own shoes, OrthoFeet shoes significantly reduced foot pain and disability. Notable improvements were observed in "foot pain at its worst," "foot pain at the end of the day," "overall pain score," and "overall Foot Function Index score," all showing statistically significant reductions (p < 0.050). Participants reported high adherence to wearing the OrthoFeet shoes, averaging 8 h per day and 5.8 days per week. TAM scores favored OrthoFeet shoes over participants' own shoes in terms of ease of use, perceived benefit, and intention to recommend. Significant differences were noted in components representing perceived joint pain relief (p < 0.001, χ2 = 21.228) and the intention of use as determined by the likelihood of recommending the shoes to a friend with a similar condition (p < 0.001, χ2 = 29.465). Additionally, a majority of participants valued the appearance of the shoes, with 66% prioritizing shoe appearance and 96% finding the study shoes more stylish than their previous ones. CONCLUSION: This study underscores the significance of design and custom fit in promoting continuous wear for effective foot pain reduction in older adults. More research is needed on the intervention's long-term impacts.

Harnessing Speech-Derived Digital Biomarkers to Detect and Quantify Cognitive Decline Severity in Older Adults.

INTRODUCTION: Current cognitive assessments suffer from floor/ceiling and practice effects, poor psychometric performance in mild cases, and repeated assessment effects. This study explores the use of digital speech analysis as an alternative tool for determining cognitive impairment. The study specifically focuses on identifying the digital speech biomarkers associated with cognitive impairment and its severity. METHODS: We recruited older adults with varying cognitive health. Their speech data, recorded via a wearable microphone during the reading aloud of a standard passage, were processed to derive digital biomarkers such as timing, pitch, and loudness. Cohen's d effect size highlighted group differences, and correlations were drawn to the Montreal Cognitive Assessment (MoCA). A stepwise approach using a Random Forest model was implemented to distinguish cognitive states using speech data and predict MoCA scores based on highly correlated features. RESULTS: The study comprised 59 participants, with 36 demonstrating cognitive impairment and 23 serving as cognitively intact controls. Among all assessed parameters, similarity, as determined by Dynamic Time Warping (DTW), exhibited the most substantial positive correlation (rho = 0.529, p < 0.001), while timing parameters, specifically the ratio of extra words, revealed the strongest negative correlation (rho = -0.441, p < 0.001) with MoCA scores. Optimal discriminative performance was achieved with a combination of four speech parameters: total pause time, speech-to-pause ratio, similarity via DTW, and intelligibility via DTW. Precision and balanced accuracy scores were found to be 88.1 ± 1.2% and 76.3 ± 1.3%, respectively. DISCUSSION: Our research proposes that reading-derived speech data facilitates the differentiation between cognitively impaired individuals and cognitively intact, age-matched older adults. Specifically, parameters based on timing and similarity within speech data provide an effective gauge of cognitive impairment severity. These results suggest speech analysis as a viable digital biomarker for early detection and monitoring of cognitive impairment, offering novel approaches in dementia care.

Care4AD: A Technology-Driven Platform for Care Coordination and Management: Acceptability Study in Dementia.

INTRODUCTION: The technology-driven solution can reduce the caregiving burden; however, the needs of dementia caregiving are unique, and attitudes towards adopting technology from the perspectives of all the stakeholders involved in dementia caregiving are unclear. This study aims to assess the acceptability and feasibility of a technology-driven platform to facilitate care coordination platform, Care4AD, from the end-user perspective. METHODS: Care4AD includes three components: (1) Care4AD app: the app is used by caregivers to coordinate care, monitor physical activity, and schedule reminders; (2) Care4AD tablet: a smart tablet is used by the care recipient to display scheduled reminders; and (3) Care4AD tags: a series of wireless sensor tags attached to various objects of daily care to facilitate monitoring instrumental activities of daily living (IADL) and adherence to scheduled tasks. Stakeholders in caregiving, including 11 experts in dementia care (age: 53.3 ± 8, 73% female), 10 individuals with dementia (IWD) (age: 76.1 ± 7.3, 50% female), and 14 caregivers (age: 66.9 ± 10.6, 75% female) were interviewed to determine perceived ease of use, attitude towards use, and perceived usefulness, based on the technology acceptance model (TAM) questionnaire. Additionally, we assessed technology anxiety and concerns with data sharing by caregivers and IWD. The interviews were conducted through videoconferencing or in-person meetings. The interview was composed of open-ended questions, a demonstration of the proposed Care4AD platform, and a survey based on TAM. RESULTS: Compared to the neutral response, stakeholders showed significantly higher acceptance (70-100% satisfied to highly satisfied, p < 0.05) for all components of the TAM. Among IWD, age (r = -0.68, p = 0.03) and for caregivers the perceived ease of use (r = 0.73, p < 0.01) were significant predictors of attitude towards using the technology. Interestingly, neither concerns about data sharing nor educational level were limiting factors in the acceptability of the system in our sample. CONCLUSION: Overall, the results support a high perception of usefulness, ease of use, and attitude towards using Care4AD. The key barriers to adopting such technology are the age of IWD and the caregiver's perception of ease of use. Future studies are warranted to explore the effectiveness of such a platform to reduce caregiver stress and improve the quality of life and independence of IWD.