Factors Affecting the Initial Engagement of Older Adults in the Use of Interactive Technology

Investigation of the Impact of Wellinks on the Quality of Life and Clinical Outcomes in Patients With Chronic Obstructive Pulmonary Disease: Interventional Research Study

BACKGROUND

Wellinks is a remote disease management solution that provides novel chronic obstructive pulmonary disease (COPD) care delivery.

OBJECTIVE

This study evaluated the satisfaction, engagement, and clinical outcomes of Wellinks participants. This study also investigated the cadence of health coaching for patients with COPD.

METHODS

A 24-week interventional study was conducted by Wellinks and the COPD Foundation in 2022. Adults with COPD were recruited by the COPD Foundation in the United States and determined to be eligible if they had phone and internet access, owned a smartphone, and were not currently participating in pulmonary rehabilitation. All study participants provided written informed consent. The Wellinks solution included remote health coaching, pulmonary rehabilitation, and group education; participants were provided the Wellinks app and smart spirometry and pulse oximetry devices. Participants were offered 6 coaching sessions in the first 12 weeks. For the second 12-week period, participants either reduced frequency or discontinued coaching; all other components of the Wellinks solution remained unchanged. The COPD Self-Efficacy Scale, Modified Medical Research Council dyspnea scale, pulmonary function, pulse oximetry, and patient-reported healthcare resource utilization were the clinical outcome measures. Nonclinical outcomes included engagement and satisfaction with Wellinks and net promoter score.

RESULTS

In total, 141 adults consented and completed Wellinks onboarding; 84.4% (n=119) of whom remained engaged throughout the 24-week study. Participants had a mean age of 70 (SD 7.8; range 48-88) years, and 55.7% (n=78) were female. Most participants (n=119, 84.4%) completed all 6 coaching sessions during the first 12-week period. Compliance with spirometer and pulse oximeter use was 82.3% and 89.4%, respectively, at week 1 but waned over the study period to 8.5% and 9.2%, respectively, at the end of the study. Participants indicated a high degree of satisfaction with Wellinks, with 95.5% (n=85) and 91% (n=81) of participants indicating that they agreed or strongly agreed that the educational content and health coaching, respectively, were valuable. At the end of the study, the net promoter score was +64 and +55 in the coaching continuation and discontinuation arms, respectively. A significant improvement from baseline to end of the study was observed in the COPD Self-Efficacy Scale total score (P<.001) and domain scores (P<.001 for each domain). In total, 35.1% (n=27) of participants improved by at least 1 category of change on the 5-point Modified Medical Research Council dyspnea scale from baseline to week 24.

CONCLUSIONS

This study confirmed the feasibility of using a remote model of care delivery to support people living with COPD. The insights gained in this study have allowed for further refinement and personalization of the Wellinks care model. Findings related to the combined use of technology and personal care delivery should be considered by others developing remote disease management tools.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05259280; https://clinicaltrials.gov/ct2/show/NCT05259280.

Design and Feasibility Analysis of a Smartphone-Based Digital Cognitive Assessment Study in the Framingham Heart Study

BACKGROUND

Smartphone-based digital technology is increasingly being recognized as a cost-effective, scalable, and noninvasive method of collecting longitudinal cognitive and behavioral data. Accordingly, a state-of-the-art 3-year longitudinal project focused on collecting multimodal digital data for early detection of cognitive impairment was developed.

METHODS AND RESULTS

A smartphone application collected 2 modalities of cognitive data, digital voice and screen-based behaviors, from the FHS (Framingham Heart Study) multigenerational Generation 2 (Gen 2) and Generation 3 (Gen 3) cohorts. To understand the feasibility of conducting a smartphone-based study, participants completed a series of questions about their smartphone and app use, as well as sensory and environmental factors that they encountered while completing the tasks on the app. Baseline data collected to date were from 537 participants (mean age=66.6 years, SD=7.0; 58.47% female). Across the younger participants from the Gen 3 cohort (n=455; mean age=60.8 years, SD=8.2; 59.12% female) and older participants from the Gen 2 cohort (n=82; mean age=74.2 years, SD=5.8; 54.88% female), an average of 76% participants agreed or strongly agreed that they felt confident about using the app, 77% on average agreed or strongly agreed that they were able to use the app on their own, and 81% on average rated the app as easy to use.

CONCLUSIONS

Based on participant ratings, the study findings are promising. At baseline, the majority of participants are able to complete the app-related tasks, follow the instructions, and encounter minimal barriers to completing the tasks independently. These data provide evidence that designing and collecting smartphone application data in an unsupervised, remote, and naturalistic setting in a large, community-based population is feasible.

Home-based exercise interventions delivered by technology in older adults: A scoping review of technological tools usage

BACKGROUND

Despite technology-based systems being considered promising tools to stimulate and increase physical function at home, most older adults are unfamiliar with technology, which may pose some difficulties. Technology-related parameters, such as adherence, acceptance, and acceptability, are crucial to achieving higher efficacy levels of home-based exercise interventions delivered by technology. In this scoping review, we aimed to revise the use of home-based technological tools to improve physical function in the older population, focusing on the user's experience and perspective. Methods This scoping review was conducted following PRISMA guidelines. The search was conducted in April 2022 and updated in April 2023. A total of 45 studies were included in the review. Results Most studies (95.5%) met the technology usage levels defined by the research team or reported satisfactory technology usage levels. Positive health-related outcomes were reported in 80% of studies. Although the existence of guidelines to correctly define and use measures associated with technology use, including adherence, acceptance and acceptability, some terms are still being used interchangeably. Some concerns related to the lack of an international consensus regarding technology usage measures and the exclusion of older adults who did not own or have previous experience with technology in a large percentage of the included studies may have limited the results obtained. Conclusions Altogether, home-based exercise interventions delivered through technology were associated with positive health-related outcomes in older adults, and technology usage levels are considered satisfactory. Older adults are willing and able to use technology autonomously if adequate support is provided.

Are we ready for hotel robots after the pandemic? A profile analysis

COVID-19 has changed many aspects of the hospitality and tourism industry, including technology-oriented and contactless solutions. Despite the increasing number of service companies using robots on their premises, most of the previous attempts and practices of adoption have remained unsuccessful. Prior research hints that socioeconomic factors could influence the successful adoption of these emerging technologies. Nevertheless, these studies ignore the role of profile factors and assume a homogenous response to using robots in service operations during the pandemic. Based on the theory of diffusion of innovation and a sample of 525 participants, this study investigates the differences in customers' attitudes, their level of involvement, and optimism for service robots as well as their intentions to use service robots in the five main areas of hotel operations (front desk, concierge, housekeeping, room service, and food and beverage) based on five profile factors (age, gender, income level, education, and purpose of trip). MANOVA tests show significant differences in all variables based on demographic factors; male, younger, more educated, higher income, and leisure travelers show more positive attitudes, higher involvement, optimism, and intention to use service robots across various hotel departments. In particular, mean scores were found to be smaller for the traditionally human-oriented functional areas of the hotel operations. We also clustered the participants based on their level of comfort and optimism about using service robots in hotels. Given the rapid changes in the service industry and the increasing adoption of service robots, this paper adds a much-needed contribution to the ongoing research on service robots in the service industry by investigating the impact of profile factors on guests' behavior towards service robots.

Artificial Intelligence in Health Care-Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study

Background

Artificial intelligence (AI) is as a branch of computer science that uses advanced computational methods such as machine learning (ML), to calculate and/or predict health outcomes and address patient and provider health needs. While these technologies show great promise for improving healthcare, especially in diabetes management, there are usability and safety concerns for both patients and providers about the use of AI/ML in healthcare management.

Objectives

To support and ensure safe use of AI/ML technologies in healthcare, the team worked to better understand: 1) patient information and training needs, 2) the factors that influence patients' perceived value and trust in AI/ML healthcare applications; and 3) on how best to support safe and appropriate use of AI/ML enabled devices and applications among people living with diabetes.

Methods

To understand general patient perspectives and information needs related to the use of AI/ML in healthcare, we conducted a series of focus groups (n=9) and interviews (n=3) with patients (n=40) and interviews with providers (n=6) in Alaska, Idaho, and Virginia. Grounded Theory guided data gathering, synthesis, and analysis. Thematic content and constant comparison analysis were used to identify relevant themes and sub-themes. Inductive approaches were used to link data to key concepts including preferred patient-provider-interactions, patient perceptions of trust, accuracy, value, assurances, and information transparency.

Results

Key summary themes and recommendations focused on: 1) patient preferences for AI/ML enabled device and/or application information; 2) patient and provider AI/ML-related device and/or application training needs; 3) factors contributing to patient and provider trust in AI/ML enabled devices and/or application; and 4) AI/ML-related device and/or application functionality and safety considerations. A number of participant (patients and providers) recommendations to improve device functionality to guide information and labeling mandates (e.g., links to online video resources, and access to 24/7 live in-person or virtual emergency support). Other patient recommendations include: 1) access to practice devices; 2) connection to local supports and reputable community resources; 3) simplified display and alert limits.

Conclusion

Recommendations from both patients and providers could be used by Federal Oversight Agencies to improve utilization of AI/ML monitoring of technology use in diabetes, improving device safety and efficacy.

Technology and Quality of Life of Older People in Times of COVID: A Qualitative Study on Their Changed Digital Profile

The situation caused by the COVID-19 pandemic brought negative consequences such as social isolation, limited access to routine health and social care services, and lack of self-esteem, especially for older people. In this context, technology took on an important role as the main means of communication and service delivery. The main objective of this study is to analyze the situation of the elderly and their access to technological resources in the time of COVID-19. Based on a qualitative methodology, 58 semi-structured interviews were conducted with people between 65 and 90 years old in Portugal. The results reveal specific difficulties in the use of this type of digital devices and a change in the digital use profile of this age group, characterized by more frequent use of digital devices such as smartphones, the incorporation of certain services such as video calls, and uses associated with communication and entertainment. This study shows that attitudes toward technology among the elderly should be studied further, and these results should be considered to develop and implement training programs specially designed for this age group in order to contribute to their well-being and quality of life.

Links between ease of use, perceived usefulness and attitudes towards technology in older people in university: A structural equation modelling approach

Technological resources have the potential to improve the quality of life in a context in which social pressure for the use of these tools is increasing. In this sense, the adoption of technological resources by the elderly is a highly complex issue because numerous and varied factors are involved. Precisely for this reason, this study aims to analyze the effects that exist between a series of dimensions related to the perception of older people regarding the ease of use, the perceived usefulness of technological tools, attitudes towards technology and their intention to use them in everyday life. To do this, 415 adults (M = 66.27 years) enrolled in a program at the University of Experience in the Spanish context completed an online questionnaire. The application of a Structural Equations Model for data analysis highlights that the perceived ease of use of the technology has a positive effect on the perceived usefulness of these resources. Similarly, an indirect effect of the perceived usefulness of technology on the intention to use these resources is observed through the manifestation of positive attitudes towards the use of digital tools.

Acceptance of e-health technology among older people: A qualitative study

E-health technology has been widely implemented in healthcare systems and has many benefits. However, available studies that focus on the acceptance and adoption of e-health technology, particularly among older people in primary care centers, are still limited. A qualitative approach was adopted in this study to explore the acceptability and adoption of health technology among older people who use primary health care. Semistructured interviews were conducted with 11 older people to gain in-depth insight into their perspectives on health technology. An inductive thematic analysis was conducted to gain insight from older people. Three main themes emerged: (1) "demand of care" refers a situation where participants realized that they had a health problem, sought ways to solve the health problem, and expected to be cared and monitored; (2) "resistance and openness" represent technology acceptance by older people; and (3) "preference for home health monitoring": We found older people preferred home health monitoring in terms of comfort and ease of use. The study has provided important new knowledge in relation to acceptance and preference for health technology that currently exists, particularly among older people in Indonesia.

COVID-19 and the Vulnerabilities of Community-Dwelling Other Adults: Findings From a Statewide Survey of Home-Delivered Meals Recipients*

COVID-19’s impact on community-dwelling older adults, especially those in rural and underserved areas, as well as those who are homebound, is of interest to policy makers and clinicians, now and in the future. This study aims to examine the consequences of the COVID-19 pandemic on community-dwelling older adults with the greatest social and economic needs residing in a mostly rural state. Using a self-administered survey, we collected data from 1852 home-delivered meal recipients, age 60 years and older, served by Nebraska’s eight Area Agencies on Aging. Results highlight three areas of importance: social connections, healthcare access and utilization, and technology. We found that while most older adults maintained social interaction, despite the restrictions imposed by the pandemic, feelings of loneliness persisted or even increased, with 35% of respondents feeling lonelier because of the pandemic. Our findings further reveal that 42% of older adults skipped or postponed healthcare visits during the pandemic, although the majority expressed interest in using telehealth. Finally, the rural‐urban divide was evident in our data, with less than one-half of respondents (45%) having access to reliable internet. Suggestions on how to prepare the most vulnerable people for similar crises are included.