Older adults: Are they ready to adopt health-related ICT?

Examining the double-edged effects of digital literacy on the social integration of retirement migrants

Introduction

The retiree group tend to suffer "digital gap" and "digital indulgence" at the same time. This study aims to examine how such double-edged effects will shape the social integration of retirement migrants. Based on the Self-Determination Theory and the Uses and Gratifications Theory, a conceptual framework was proposed where the impact of digital literacy is mediated by tourist empowerment and smartphone addiction.

Methods

This framework was tested using survey data gathered from 369 Chinese retirement migrants. Data were collected using convenience sampling and analyzed using SPSS 23.0 and AMOS 23.0.

Result

Findings reveal the following key insights: (1) Digital literacy significantly enhances the social integration of retirement migrants; (2) Tourist empowerment acts as a mediator in the positive correlation between digital literacy and social integration; (3) Smartphone addiction detrimentally influences the lifestyle habits dimension of social integration among retirement migrants.

Discussion

This study was amongst the first to approach the double-edged effects of digital literacy, and the findings could be conducive to improving the welfare of retirees.

Caregiving Artificial Intelligence Chatbot for Older Adults and Their Preferences, Well-Being, and Social Connectivity: Mixed-Method Study

BACKGROUND

The increasing number of older adults who are living alone poses challenges for maintaining their well-being, as they often need support with daily tasks, health care services, and social connections. However, advancements in artificial intelligence (AI) technologies have revolutionized health care and caregiving through their capacity to monitor health, provide medication and appointment reminders, and provide companionship to older adults. Nevertheless, the adaptability of these technologies for older adults is stymied by usability issues. This study explores how older adults use and adapt to AI technologies, highlighting both the persistent barriers and opportunities for potential enhancements.

OBJECTIVE

This study aimed to provide deeper insights into older adults' engagement with technology and AI. The technologies currently used, potential technologies desired for daily life integration, personal technology concerns faced, and overall attitudes toward technology and AI are explored.

METHODS

Using mixed methods, participants (N=28) completed both a semistructured interview and surveys consisting of health and well-being measures. Participants then participated in a research team-facilitated interaction with an AI chatbot, Amazon Alexa. Interview transcripts were analyzed using thematic analysis, and surveys were evaluated using descriptive statistics.

RESULTS

Participants' average age was 71 years (ranged from 65 years to 84 years). Most participants were familiar with technology use, especially using smartphones (26/28, 93%) and desktops and laptops (21/28, 75%). Participants rated appointment reminders (25/28, 89%), emergency assistance (22/28, 79%), and health monitoring (21/28, 75%). Participants rated appointment reminders (25/28, 89.3%), emergency assistance (22/28, 78.6%), and health monitoring (21/28, 75%) as the most desirable features of AI chatbots for adoption. Digital devices were commonly used for entertainment, health management, professional productivity, and social connectivity. Participants were most interested in integrating technology into their personal lives for scheduling reminders, chore assistance, and providing care to others. Challenges in using new technology included a commitment to learning new technologies, concerns about lack of privacy, and worries about future technology dependence. Overall, older adults' attitudes coalesced into 3 orientations, which we label as technology adapters, technologically wary, and technology resisters. These results illustrate that not all older adults were resistant to technology and AI. Instead, older adults are aligned with categories on a spectrum between willing, hesitant but willing, and unwilling to use technology and AI. Researchers can use these findings by asking older adults about their orientation toward technology to facilitate the integration of new technologies with each person's comfortability and preferences.

CONCLUSIONS

To ensure that AI technologies effectively support older adults, it is essential to foster an ongoing dialogue among developers, older adults, families, and their caregivers, focusing on inclusive designs to meet older adults' needs.

Internet use and healthcare utilization among older adults in China: a nationally representative cross-sectional study

BACKGROUND

Research on whether Internet use is related to older adults' health service use is limited. Hence, this study aimed to empirically examine the associations between Internet use and the different types of healthcare utilization among Chinese older adults and whether there were urban or rural differences.

METHODS

This study used large-scale nationwide data for Chinese older adults from the 2018 China Longitudinal Aging Social Survey (CLASS). The main explanatory variables were general Internet use and different types of Internet usage, including usage for communication, entertainment, and as instruments. The outcome measures included outpatient and inpatient care utilization, specifically examining the choice of health providers after an illness, the rate of outpatient care utilization after an illness, hospital admission, and the number of hospital admissions in the past two years. Logistic regression, zero-inflated negative binomial regression, and multinomial logistic regression were conducted to assess the associations between Internet use and healthcare utilization. Given the potential urban-rural disparities in Internet use, we applied an interaction term between Internet use and urban-rural status in each model to examine its moderating effects. The potential bias was addressed using the propensity score matching (PSM) method.

RESULTS

Compared with older adults who did not use the Internet, Internet users had a lower probability of hospital admission in the past two years (OR: 0.63, 95% CI: 0.55-0.72), fewer hospital admissions (IRR: 0.80, 95% CI: 0.69-0.93), and a higher probability of choosing outpatient care in hospitals after an illness (RRR: 1.22, 95% CI: 1.01-1.47). Using the Internet for communication showed the strongest association with healthcare utilization among different types of Internet use. The urban/rural interaction term was negatively associated with outpatient care utilization but positively associated with inpatient care utilization.

CONCLUSIONS

This study highlights the important role of the Internet in shaping healthcare utilization, particularly in addressing urban-rural disparities. Implementing Internet-based interventions among older adults is recommended to reduce disparities and improve healthcare access.

Feasibility of a nurse-led, mHealth-assisted, and team-based collaborative care model for heart failure care in India: Findings from a multi-stakeholder qualitative study

Background

Heart failure (HF) management is often challenging due to poor adherence to GDMT and self-care. Continuous monitoring of patients by a dedicated care manager may enhance adherence to self-care and treatment and prevent hospitalisations. For the adoption and acceptance of a collaborative care model (CCM) for HF management in Indian settings, understanding the perspectives of all stakeholders regarding its various components and feasibility is needed. Therefore, we aimed to obtain perceptions of potential challenges to care and suggestions on multiple components of the proposed CCM in managing HF and its feasibility.

Methods

In-depth interviews were done among HF patients, caregivers, nurses, and cardiologists from private, co-operative, and public sector tertiary care hospital settings that cater to HF patients in Kerala, India. An in-depth interview guide was used to elicit the data. Data were analysed using Python QualCoder version 2.2. We used a framework method for the analysis of data.

Results

A total of 22 in-depth interviews were conducted. We found that the existing care for HF in many settings was inadequate for continuous engagement with the patients. Non-adherence to treatment and other self-care measures, was noted as a major challenge to HF care. Healthcare providers and patients felt nurses were better at leading collaborative care. However, various barriers, including technical and technological, and the apprehensions of nurses in leading the CCM were identified. The stakeholders also identified the mHealth-assisted CCM as a potential tool to save money. The stakeholders also appreciated the role of nurses in creating confidence in patients.

Conclusions

A nurse-led, mHealth-assisted, and team-based collaborative care was recognised as an excellent step to improve patient adherence. Effective implementation of it could reduce hospitalisations and improve patients' ability to manage their HF symptoms.

Assessing Patient Use of and Attitudes toward eHealth Services for Communication with Primary Care Centers in Saudi Arabia and Factors Affecting Usage

BACKGROUND

This study investigates patients' use of eHealth services, their awareness of the availability of these services, and their intention to use them in primary care. It also examines patient characteristics and factors that influence the use of these services.

METHODS

A cross-sectional design using questionnaires was conducted. Based on the unified theory of acceptance and use of technology (UTAUT), the participants rated the two most common services. Descriptive analyses and linear correlation analyses were performed. A simple linear regression was conducted to identify factors influencing the participants' intention to use eHealth services.

RESULTS

In total, 1203 participants with an average age of 43.7 years were surveyed. The participants' usage rates varied, with the lowest at 2.4%, for measuring vital signs, and the highest at 47.4%, for booking appointments. The intentions to use the services ranged from 22.5%, for video consultations, to 46.6%, for prescription refill requests. Approximately 20% of the respondents were unaware of each service's availability. Positive associations were found between all the constructs and the intention to use online services, with a younger age being the most significant factor.

CONCLUSIONS

The use of and intention to use eHealth services varied greatly. The participants were often unaware of the availability of these services. Promoting the availability and benefits of eHealth services could enhance patient engagement in primary care settings.

Perceptions and Satisfaction With the Use of Digital Medical Services in Urban Older Adults of China: Mixed Methods Study

BACKGROUND

In an aging and information-driven society, older adults have distinct perceptions of and specific demands for digital medical services. It is essential for society to understand these needs and develop a more thoughtful approach to digital health care.

OBJECTIVE

This study aims to evaluate the behavioral intention and satisfaction of older adults with digital medical services by identifying the perceived factors and the pathways through which these factors influence their behavior.

METHODS

This study used a mixed methods approach, combining qualitative and quantitative analyses. A focus group interview was conducted with 30 randomly selected older adults, and the interviews were transcribed verbatim and coded using grounded theory. In addition, 876 valid questionnaires were collected to describe older adults' perceptions of and satisfaction with digital medical care. Then, t tests and ANOVA were used to explore differences among various demographic groups, while hierarchical multiple regression was conducted to identify the factors most closely related to satisfaction. Structural equation modeling was used to identify multiple mediating effects.

RESULTS

The qualitative study identified the core category of "medical service relief and transformation paths for older adults in the context of digital reform." Quantitative analysis revealed that more than half of the older adults were satisfied with digital medical services, and behavioral intentions were higher among those with higher incomes and education levels. Structural equation modeling confirmed that external variables, such as digital skills training, positively influenced perceived ease of use (β=.594, P<.001), perceived usefulness (β=.544, P<.001), and promoted digital medical behavioral intentions (β=.256, P<.001), while also reducing perceived risk (β=-.295, P<.001). Additionally, perceived ease of use (β=.168, P<.001) and perceived usefulness (β=.508, P<.001) positively impacted behavioral intention, whereas perceived risk (β=-.05, P=.037) exerted a negative influence. Furthermore, behavioral intention (β=.641, P<.001) significantly and positively affected older adults' satisfaction with digital medical care. The mediation test identified 4 significant paths: (1) external variables → perceived ease of use → behavioral intention (effect size of 13.9%); (2) external variables → perceived usefulness → behavioral intention (effect size of 38.4%); (3) external variables → perceived ease of use → perceived usefulness → behavioral intention (effect size of 10.1%); and (4) a direct effect (35.5%) from external variables to behavioral intention.

CONCLUSIONS

Based on the study's findings, addressing the needs of older adults and enhancing perceived usefulness are the most effective ways to encourage the use of digital health care devices. Community support plays a crucial role in helping older adults integrate into digital health care, and adapting the design of services and products to suit their needs improves their perceptions of digital health care. This, in turn, promotes usage behavior and satisfaction, while the negative impact of perceived risk remains minimal.

How to engage patients in computerized cognitive training: a cognitive rehabilitation expert's perspective

PURPOSE

The relationship between a patient and their therapist plays a crucial role in patient engagement. While Computerized Cognitive Training (CCT) may assist in preserving cognitive skills in cases of aging, dementia or acquired brain injuries, its effectiveness has not been definitively proven. Improving user engagement, acceptance, and software usability could aid in addressing this issue. The present study aims to identify potential obstacles and facilitators by examining the perspectives of rehabilitation professionals on the current usage of CCT software.

METHODS

Semi-structured interviews were conducted with 16 rehabilitation professionals, familiar with a CCT software. The data were transcribed and followed by an independent iterative thematic analysis.

RESULTS

Two major themes were identified: (1) facilitating factors and (2) difficulties related to use. The main obstacles were difficulties related to the computerized nature of the exercises, technology use, understanding the software and general learning difficulties. The main facilitators were the ecological and novel nature of the exercises, and the adaptability of the difficulty levels.

CONCLUSION

The complexity of the CCT presents challenges for its usage by rehabilitation professionals, which in turn can impede patient utilization as well. To address this issue and promote sustainable use of the software, providing instruction delivery to facilitate learning and understanding of the CCT is essential. Additionally, creating a standardized foundation that therapists can refer to for guidance may also aid in optimizing the software's usage. It is recommended to utilize a model for CCT acceptability and acceptance in developing these solutions to enhance patient engagement.

Teleaudiology Services in Australia: A National Survey of Hearing Health Care Consumers Amid the COVID-19 Pandemic

PURPOSE

The aim of this study was to investigate the perspectives of Australia-based hearing health care consumers regarding the (a) provision and utilization of teleaudiology services, (b) experiences with teleaudiology, and (c) barriers and enablers to future teleaudiology use.

METHOD

A national prospective self-report online survey was completed between April and October 2020, amid COVID-19. Data were analyzed using descriptive statistics (closed-answer items) and content analysis (open-text responses). A total of 381 participants (Mage = 72.07 years ± 10.08, 142 females) were recruited from different states and territories of Australia.

RESULTS

Despite positive outcomes reported by those who undertook teleaudiology appointments during COVID-19, results indicate low-consumer teleaudiology uptake. It can be inferred that consumers were not aware of teleaudiology as an appointment option, clinicians/clinic staff had not informed and/or supported teleaudiology as an option, and biases existed that prevented teleaudiology being more widely adopted. It is unclear whether consumers who were eligible for government subsidies understood that teleaudiology appointments were reimbursed through government funding. Barriers to future teleaudiology uptake were largely related to concerns regarding confidentiality and privacy.

CONCLUSION

Low consumer uptake of teleaudiology appointments appears to be driven by consumer preference for in-person services, which appears to be driven by lack of knowledge regarding the availability and effectiveness of teleaudiology.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.25619808.

Revolutionizing elderly care: Building a healthier aging society through innovative long-term care systems and assessing the long-term care acceptance model

AIM

With a growing elderly population, the demand for caregivers is increasing in Khon Kaen, Thailand, with approximately 17 000 elderly residents. This growing number of older people and a shortage of caregivers could overload the healthcare system.

METHODS

The present study involved 129 healthcare volunteers (caregivers for questionnaires study) and the collection of health data from 290 elderly residents from northeastern Thailand. After training, the volunteers assessed its usefulness through questionnaires. Tool reliability and statistical hypotheses were tested using stratified regression analysis (hierarchical regression) and multiple regression.

RESULTS

The relative mean scores of perceived usefulness, perceived ease of use, attitude toward usage and behavioral intention to use technology were 4.51, 4.29, 4.44 and 4.41, respectively. In addition, perceived usefulness and user attitudes positively affected volunteers' willingness to use the system.

CONCLUSION

The study was developed from the awareness of enhancing community quality and ecosystem through a long-term care system application. Analyzing external factors can enhance technology's future effectiveness. Geriatr Gerontol Int 2024; 24: 477-485.

What is the next step of ICT development? The changes of ICT use in promoting elderly healthcare access: A systematic literature review

The objective of this study was to undertake a comprehensive review of the evidence published, with a focus on understanding the experiences of the elderly in leveraging Information and Communication Technology (ICT) for their healthcare needs during the COVID-19 period. In compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this review scrutinized all peer-reviewed articles in English sourced from PubMed, PsycINFO, Scopus, and Web of Science, targeting studies that focused exclusively on the elderly within the COVID-19 timeframe, incorporated ICT-based technology as intervention, and were associated with the assessment of the process of employing ICT for healthcare needs. The search strategy identified 1752 records, of which 34 studies met the inclusion criteria. The functionality of ICT was categorized, types of barriers were identified, and the subsequent changes that the elderly population underwent were synthesized and deliberated. This review offers valuable insights into the elderly's subjective experiences in utilizing ICT, which may offer guidance for future ICT development geared towards enhancing the well-being of the elderly. Future research should incorporate the perspectives of relevant healthcare providers in evaluating the effectiveness of ICT usage. Further studies are also needed on underserved elderly groups to provide a more holistic view.

Components in downstream health promotions to reduce sugar intake among adults: a systematic review

Excessive sugar consumption is well documented as a common risk factor for many Non-Communicable Diseases (NCDs). Thus, an adequate intervention description is important to minimise research waste and improve research usability and reproducibility. A systematic review was conducted to identify components in published evidence interventions pertaining to the health promotions on reducing sugar intake among adults. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and used the Mixed Methods Appraisal Tool (MMAT) for quality appraisal. The period for the selected study was from 2000 to 2022, and articles were retrieved from Web of Science (WOS), Medline, Scopus, and PubMed. The target population was adults aged 18 years old and above who underwent intervention to assess the changes in their sugar intake. Data sources and all human epidemiologic studies were included. Out of the 9,333 papers identified, 25 were included. The overall quality of evidence of the studies was considered moderate. Apart from the characteristics of the reviewed studies, components of interventions are including the basis of theoretical or model for the intervention, which majority use Social Cognitive Theory, followed by PRECEDE-PROCEED model, socio-ecological and process-improvement theories and Transtheoretical Model; providers, who are commercial provider, qualified nutritionist, professor of nutrigenomics and nutrigenetics, doctor, dietitian nutritionist, lifestyle coaches, and junior public health nurses; duration of the intervention and follow-up time, varies from as short as one month to as long as 24 months; material provided either softcopy or hardcopy; tailoring approach, based on the individual goals, the process of change, genotype analysis, beliefs, barriers, and sociocultural norms; delivery mechanism either face-to-face or technology-mediated; and tools to measure the sugar consumption outcome mostly used Food Frequency Questionnaire (FFQ), besides 24-h dietary recalls, and food diaries. There are various components in downstream health promotion to reduce sugar intake among adults that can be adapted according to the local health promotion and intervention context. More well-designed interventions using integration components are encouraged in further studies.

Internet Use and Well-Being of Older Adults Before and During the COVID-19 Pandemic: Findings from European Social Survey

The present study examined older adults' use of digital technology and its relation to perceived well-being before and during the COVID-19 pandemic in Europe. Three cross-sectional survey data from the European Social Survey (ESS) were employed including ESS8-2016 (n = 10,618, Mean age = 73.59 ± 6.76 years; 54.4% female), ESS9-2018 (n = 13,532, Mean age = 73.85 ± 6.58 years; 55.9% female), and ESS10-2020 (n = 4,894, Mean age = 73.49 ± 6.40 years; 59.0% female). Results showed that there was a tendency to increase Internet use on a daily basis across different European countries before and during the COVID-19 pandemic. Old age, low education, being widowed, and living in a household with more than five household members were salient factors that are correlated with lower levels of Internet use. Internet use was positively associated with happiness and life satisfaction, and negatively associated with poor general health.

Mobile health application (WeFit) among community-dwelling older adults: Development, validation, acceptance, and usability study

Background

Technology advancement along with the increase in the older adults' population leads to the creation of health applications. The combination of exercise, nutrition, and cognition should be studied carefully in improving older adults' health.

Objective

The purpose of this study is to develop a health application, WeFit contains these three components and to determine its content validity, acceptability, and usability.

Methodology

This study is a design and development study involving three phases. The first phase is the need analysis involving a review on 16 mobile applications available in Google play and iTunes App store as well as a review of six articles for identifying the perception of older adults in using mobile applications. Second phase is mobile application development and content validity. The content validity was determined using the Content Validity Index for Individual Items (I-CVI). Phase 3 evaluated the acceptance of the WeFit mobile application among older adults and health practitioners.

Results

Phase 1 indicated that half of the applications reviewed (50.0%) had physical activity component and the other half (50.0%) had a cognitive component, and none on nutrition. No application is reported to have all three components. In Phase 2, WeFit health application containing the three components was developed where users can view exercise and food recommendations and play cognitive games. WeFit had an I-CVI value of 0.98. With respect to acceptability, majority of the study participants (93.3%) understood the WeFit's content and the graphics used were appropriate. The usability study found that the majority of the older adults were satisfied with the interface and content. All health practitioners (100%) agreed WeFit is easy to use and agreed that it can guide them in giving medical advices.

Conclusion

WeFit mobile app has been successfully developed, validated, and tested for acceptance among the older adults and health practitioners.

"I'm still struggling with it, and it scares me": A qualitative analysis of older adults' experiences with digital health portals during and after COVID-19

Objective

The scaling of digital health platforms, accelerated by the COVID-19 pandemic, has globally reshaped the delivery of healthcare services, presenting both opportunities and challenges. Ensuring equitable access, especially for digitally disadvantaged groups, is a critical concern, and this study explores older adults' perspectives on digital health platforms during and after the COVID-19 pandemic and examines their strategies for coping with the general challenges of the digitalization of health.

Methods

A total of 77 older adults (aged at least 65), including both internet users and non-users, participated in 11 focus group sessions in Slovenia between September and December 2022. Hybrid thematic analysis was used to develop an understanding of the challenges confronted by older adults in the digital health landscape.

Results

Three key themes emerged from the focus group sessions, which highlight digital inequalities that impact access to digital health platforms and their services: the challenges of digitalized health services, coping with these challenges, and the outcomes of health service digitalization. The "digital health paradox" is evident, in which opportunities are provided for some while access is limited for those unwilling or unable to use digital health platforms. Proxy users, often family or friends, help bridge this gap.

Conclusions

Ensuring the availability and viability of traditional health service access is crucial for empowering older adults to choose between digital health platforms and alternatives. Recognizing the importance of traditional approaches is vital, and healthcare providers and policymakers should prioritize inclusivity to ensure a diverse and equitable healthcare system for older adults and vulnerable populations.

Examining Outcomes and Challenges of Telepsychiatry in Australian Elderly: A Scoping Review

Methods

To find relevant articles, we searched PubMed, Scopus, and Web of Science databases. We used a data extraction form to gather information from primary studies. Two researchers followed inclusion and exclusion criteria to select studies and extract data. Disagreements were resolved through discussion with all researchers. Studies needed to be in English, about telepsychiatry for Australian seniors, and use any technology type (synchronous, asynchronous, or both). We excluded nontelepsychiatry articles, books, book chapters, conference abstracts, and editor letters.

Results

Telepsychiatry was effectively employed to manage depression, anxiety, delirium, and cognitive impairments. Among these four disorders, telepsychiatry was mostly used for depression. Videoconference and telephone were mostly used to provide telepsychiatry services. Most telepsychiatry services for Australian seniors included "patient education on disorder control and management," "creating continuous interaction between the patient and the therapist," and "remote patients' assessment." "Reductions in symptoms of disorders," "improving patients' satisfaction with telepsychiatry," and "cost-effectiveness of telepsychiatry" were the most important positive outcomes of using telepsychiatry. We also identified four challenges in using telepsychiatry for elderly individuals in Australia.

Conclusions

This study is the first scoping review in Australia and provides valuable insight into telepsychiatry for elderly individuals.

Technology adoption review for ageing well: analysis of technical solutions

While several technological solutions are available for older adults to improve their wellbeing and quality of life, little is known about the gaps between the needs, provided solutions, and their adoption from a more pragmatic perspective. This paper reports on reviewing existing technological solutions for older adults, which span the work life, life in the community, and wellbeing at home. We analyzed 50 different solutions to uncover both negative and positive features of these solutions from the perspective of the impact of technology adoption on the quality of life of older adults. Our approach harnesses holistic reasoning to determine the most suitable technologies available today and provides suggestions for improvement toward designing and implementing better solutions.

An Exploratory Study of the Use of the Internet and E-Government by Older Adults in the Countryside of Brazil

The ubiquity of the Internet and its technology and the increasing aging of the world’s population are ever more evident. Older users have different demands and capabilities when using the services offered in the digital environment. As a service provider to its population, the government has sought to optimize the provision of services and access to information through information and communication technology. Older adults are a relevant group of users of public services and have significant demands in some specific public services. To identify questions about the factors that promote the use, perception and barriers to the older population regarding the use of the Internet and government websites, this study was inspired by a study carried out in the United Kingdom to identify these factors. The study reports on a survey with 143 participants recruited from different geographical regions of the countryside of Brazil. The research showed that although government websites are strongly inclined to offer quality content and maintain the satisfaction of older adult users, there is still a more significant number of users who, due to low technology skills, do not use these sites or the Internet. Older citizens also had high Internet penetration and mobile device use. Lower computer literacy in the countryside of Brazil was related to factors such as gender, education level, race and sociocultural factors. A partial comparison with a study in the United Kingdom showed a lag in the use of e-government services by older adults in the countryside of Brazil.

Health information behavior and related factors among Estonians aged ≥ 50 years during the COVID-19 pandemic

Purpose

The purpose of the article is to introduce the outcomes of a study analyzing the relationships between willingness to use technology for health purposes, health information behavior (HIB), health behavior (HB) choices, readiness for COVID-19 vaccination, socioeconomic indicators and self-reported health among older adults aged = 50 years living in Estonia.

Design/methodology/approach

A cross-sectional survey was conducted among 501 people aged = 50 in Estonia in 2020, a month after the end of lockdown.

Findings

The results of the study indicate that the more recurrent the need for HI was (rho = 0.11, p < 0.05) and the more regularly one searched for it (rho = 0.14, p < 0.01), the more willing a person was to get vaccinated. Also, interest in digital applications corresponded to vaccination readiness (rho = 0.25, p < 0.001). However, this relationship did not emerge in the case of other HBs such as healthy eating and exercise. Differences in HIB should be taken into account when developing effective means of health communication designed especially for crisis situations.

Originality/value

Estonia is known as one of the digital front runners in the world. However, social welfare and the well-being of disadvantaged groups among the population (e.g. older people) have not yet caught up with the more developed Western countries. Thus, learning more about the health-related information behavior of older adults, e.g. the kind of health information they are seeking and using in Estonia, allows policymakers, health information providers and libraries in Estonia to plan and carry out more effective interventions and help them to improve the existing systems so as to furnish older adults with relevant information.

Does Smartphone Use Make Older Adults Feel Younger? A Cross-Sectional Online Survey during the COVID-19 Pandemic

Subjective age (i.e., how old one feels) has been found to be a biopsychosocial marker of aging. This study examined the associations between subjective age and the frequency of information and communication technology (ICT) usage by older adults. Data were collected via an online survey conducted in 2020 during the COVID-19 pandemic. The study analyzed responses from participants aged 65 to 89 (M = 71.9, SD = 3.9) who resided in Japan (N = 1631, 52.8% female). Subjective age was indexed by asking participants to specify in years how old they felt. Proportional discrepancy scores (PDS) were calculated to indicate younger or older subjective age and were used as an independent variable. Participants were asked about the frequency of computer, smartphone, flip phone, tablet, and social networking service (SNS) use. Two-thirds of the participants (63.6%) reported feeling younger than their actual age. Nearly 90% reported using computers for more than 2-3 days a week, while 64.3% reported smartphone use, 22.9% reported flip phone use, and 36.6% reported SNS use. Logistic regression analyses revealed that a lower PDS (i.e., feeling younger) was associated with a significantly higher frequency of smartphone use (OR: 0.77; 95% CI: 0.60, 0.98) after adjusting for potential confounders. No such association was found for computer, flip phone, tablet, or SNS use. Our study found that feeling younger was associated with a higher frequency of smartphone use. The daily use of smartphones may have helped older adults stay in touch with family and friends and obtain the information that they needed, which may have contributed to better psychological well-being outcomes, especially during the COVID-19 pandemic.

Association of multimorbidity with the use of health information technology

OBJECTIVE

To examine the association of multimorbidity with health information technology use among adults in the USA.

METHODS

We used cross-sectional study design and data from the Health Information National Trends Survey 5 Cycle 4. Health information technology use was measured with ten variables comprising access, recent use, and healthcare management. Unadjusted and adjusted logistic and multinomial logistic regressions were used to model the associations of multimorbidity with health information technology use.

RESULTS

Among adults with multimorbidity, health information technology use for specific purposes ranged from 37.8% for helping make medical decisions to 51.7% for communicating with healthcare providers. In multivariable regressions, individuals with multimorbidity were more likely to report general use of health information technology (adjusted odds ratios  =  1.48, 95% confidence intervals  =  1.01-2.15) and more likely to use health information technology to check test results (adjusted odds ratios  =  1.85, 95% confidence intervals  =  1.33-2.58) compared to adults with only one chronic condition, however, there were no significant differences in other forms of health information technology use. We also observed interactive associations of multimorbidity and age on various components of health information technology use. Compared to younger adults with multimorbidity, older adults (≥ 65 years of age) with multimorbidity were less likely to use almost all aspects of health information technology.

CONCLUSION

Health information technology use disparities by age and multimorbidity were observed. Education and interventions are needed to promote health information technology use among older adults in general and specifically among older adults with multimorbidity.

Remotely Delivered Monitoring and Management of Diabetes-Related Foot Disease: An Overview of Systematic Reviews

BACKGROUND

Diabetes-related foot disease (DFD) management requires input from multiple healthcare professionals, and has worse outcomes for people living in remote localities by comparison to urban areas. Remotely delivered healthcare may reduce this disparity. This overview summarizes current evidence on the effectiveness, stakeholder perceptions, and cost-effectiveness of remotely delivered healthcare for DFD.

METHODS

A search of 5 databases was conducted to identify systematic reviews published between January 2000 and June 2020. Eligible reviews were those evaluating remotely delivered monitoring or management of patients at risk of or with active DFD, or clinicians managing these patients. Risk of bias was assessed using the AMSTAR-2 tool.

RESULTS

Eight reviews were eligible for inclusion, including 88 primary studies and 8509 participants, of which 36 studies involving 4357 participants evaluated remotely delivered monitoring or management of DFD. Only one review had a low risk of bias, with most reviews demonstrating limited search strategies and poor reporting of participants. Evidence on effectiveness was mixed, with meta-analyses demonstrating long-term ulcer healing and mortality were not significantly different between telehealth and standard care groups, although the lower-limb amputation rate was significantly decreased in one meta-analysis. Perceptions of telehealth by patients and clinicians were generally positive, whilst acknowledging limitations relating to access and use. Cost-effectiveness data were limited, with poor reporting preventing clear conclusions.

CONCLUSIONS

Remotely delivered healthcare of DFD is well received by patients and clinicians, but its effectiveness is unclear. High quality trials are needed to evaluate the risks and benefits of remotely delivered DFD management.

Factors influencing patients' opt-in intention of exchanging health information

Introduction

Health information exchange (HIE) exhibits tremendous benefits in improving the quality of healthcare and reducing healthcare costs. However, it also poses challenges related to data security, data privacy, patient engagement, etc.

Objective

This study aimed to explore the factors affecting patients' opt-in intention to HIE by using an empirical study based on the theory of planned behavior.

Methods

A Web-based survey was conducted involving 501 valid participants in China (69% validity rate).

Results

Information sensitivity and perceived HIE transparency affected the patients' opt-in intention to HIE through the mediation of perceived behavior control and trust in HIE. Information sensitivity negatively influenced perceived behavior control (-0.551, P < 0.001) and trust in HIE (-0.489, P < 0.001). Perceived transparency of HIE positively influenced perceived behavior control (0.396, P < 0.001) and trust in HIE (0.471, P < 0.001). Moreover, patients' opt-in intention to HIE can be positively affected by perceived HIE transparency (0.195, P < 0.001) and trust in HIE (0.294, P < 0.001). In addition, the moderating effect of health status was positive and significant between trust in HIE and opt-in intention to HIE but not between the perceived behavior control and opt-in intention to HIE.

Conclusion

This study contributes to the theory of planned behavior and enriches the literature on HIE efforts. HIE administrators should design personalized health services on the basis of these different health statuses to successfully achieve patients' opt-in intention to HIE.

Advances in Psychotherapy for Older Adults Using Video-to-Home Treatment

Providing telemental health services to older adults has become especially important during the COVID-19 pandemic. Video-to-home (VTH) treatment is an effective treatment modality; research shows that older adults are open to using VTH. However, there are unique barriers to using VTH with older adults. Barriers include access to technology, acceptance of technology, and physical and cognitive limitations. Additional concerns include establishing rapport with older patients and the policy and ethical concerns surrounding the use of VTH. Methods of addressing these barriers have been developed, and more research is needed to develop evidence-based VTH practice.

Professional Organizers’ Description of Personal Health Information Management Work with a Spotlight on the Practices of Older Adults: A Qualitative e-Delphi Study (Preprint)

BACKGROUND

Personal health information (PHI) is created on behalf of and by health care consumers to support their care and wellness. Available tools designed to support PHI management (PHIM) remain insufficient. A comprehensive understanding of PHIM work is required, particularly for older adults, to offer more effective PHIM tools and support.

OBJECTIVE

The primary objective of this study was to use the Patient Work System model to provide a holistic description of PHIM work from the perspective of professional organizers with experience assisting health care consumers, including older adults, in managing their PHI. A secondary objective was to examine how factors associated with 4 Patient Work System components (person, tasks, tools and technologies, and context) interact to support or compromise PHIM work performance.

METHODS

A modified e-Delphi methodology was used to complete 3 web-based rounds of open-ended questions and obtain consensus among a panel of 16 experts in professional organizing. Data were collected between April and December 2017. The Patient Work System model was used as a coding schema and guided the interpretation of findings during the analysis.

RESULTS

The PHIM work of adults who sought assistance focused on the tasks of acquiring, organizing, and storing 3 classifications of PHI (medical, financial, and reference) and then processing, reconciling, and storing the medical and financial classifications to tend to their health, health care, and health finances. We also found that the complexities of PHI and PHIM-related work often exceeded the abilities and willingness of those who sought assistance. A total of 6 factors contributed to the complexity of PHIM work. The misalignment of these factors was found to increase the PHIM workload, particularly for older adults. The life changes that often accompanied aging, coupled with obscure and fragmented health care provider- and insurer-generated PHI, created the need for much PHIM work. Acquiring and integrating obscure and fragmented PHI, detecting and reconciling PHI discrepancies, and protecting PHI held by health care consumers were among the most burdensome tasks, especially for older adults. Consequently, personal stakeholders (paid and unpaid) were called upon or voluntarily stepped in to assist with PHIM work.

CONCLUSIONS

Streamlining and automating 2 of the most common and burdensome PHIM undertakings could drastically reduce health care consumers' PHIM workload: developing and maintaining accurate current and past health summaries and tracking medical bills and insurance claims to reconcile discrepancies. Other improvements that hold promise are the simplification and standardization of commonly used financial and medical PHI; standardization and automation of commonly used PHI acquisition interfaces; and provision of secure, Health Insurance Portability and Accountability Act (HIPAA)-certified PHI tools and technologies that control multiperson access for PHI stored by health care consumers in electronic and paper formats.

Determining the Factors that Impede or Facilitate the Utilization of Telemedicine (Video Visits) for Geriatric Patients

Objective

The objective of the study was to evaluate the barriers and facilitators of telemedicine utilization experienced by geriatric patients at the University of Iowa Family Medicine Clinic and selected Senior Living Communities in Iowa City, to inform recommendations for improving the telemedicine delivery process for older adults.

Methods

The study population was elderly patients (65-85 years old) living independently, and in long-term care facilities, who received health care using telemedicine during the period of the study from March to July 2020. A Mixed Methods study design was utilized with qualitative data collected through semistructured telephone and Zoom interviews and quantitative data through surveys.

Results

A total of 33 study participants (n = 33) were interviewed or surveyed, including 3 patients (n = 3), 4 caregivers (n = 4), 19 physicians (n = 19), 5 medical assistants (n = 5), and 2 schedulers (n = 2). The results showed that geriatric patients and their caregivers, as well as health and nonhealth care personnel experience barriers, including difficulty navigating technology, privacy concerns, and lack of technical support; and facilitators, such as customer service support and having protocols to guide patients on telemedicine use.

Conclusion

Geriatric patients face certain barriers and facilitators (self-identified or identified by their caregivers, physicians, and other health and nonhealth care personnel) that can make it either more or less difficult for them to maximize the benefits of telemedicine. As a result, health systems should consider older adults' needs and preferences when implementing telemedicine systems in outpatient settings.

Using rhythm for rehabilitation: the acceptability of a novel haptic cueing device in extended stroke rehabilitation

Purpose

Restoration of walking ability is a key goal to both stroke survivors and their therapists. However, the intensity and duration of rehabilitation available after stroke can be limited by service constraints, despite the potential for improvement which could reduce health service demands in the long run. The purpose of this paper is to present qualitative findings from a study that explored the acceptability of a haptic device aimed at improving walking as part of an extended intervention in stroke rehabilitation.

Design/methodology/approach

Pre-trial focus groups and post-trial interviews to assess the acceptability of Haptic Bracelets were undertaken with seven stroke survivors.

Findings

Five themes were identified as impacting on the acceptability of the Haptic Bracelet: potential for improving quality of life; relationships with technology; important features; concerns; response to trial and concentration. Participants were interested in the haptic bracelet and hoped it would provide them with more confidence making them: feel safer when walking; have greater ability to take bigger strides rather than little steps; a way to combat mistakes participants reported making due to tiredness and reduced pain in knees and hips.

Originality/value

Haptic Bracelets are an innovative development in the field of rhythmic cueing and stroke rehabilitation. The haptic bracelets also overcome problems encountered with established audio-based cueing, as their use is not affected by external environmental noise.

Peer review

The peer review history for this article is available at: https://publons.com/publon 10.1108/JET-01-2021-0003

Teleconsultation adoption since COVID-19: comparison of barriers and facilitators in primary care settings in Hong Kong and the Netherlands

The COVID-19 pandemic has boosted the adoption of digital health technologies such as teleconsultation. This research aimed to assess and compare barriers and facilitators for teleconsultation uptake for primary care practitioners in Hong Kong and the Netherlands and evaluate the role of their different healthcare funding models in this adoption process within the context of the COVID-19 pandemic.

A qualitative research following a social constructivist paradigm was performed. The study employed a conceptual framework from Lau and colleagues that identifies four levels of factors influencing change in primary care: (1) external contextual factors; (2) organization-related factors; (3) professional factors; and (4) characteristics of the intervention. The four levels were studied through semi-structured, open-ended interviews with primary care physicians. External factors were additionally assessed by means of a literature review.

Hong Kong and the Netherlands showed different penetration rates of teleconsultation. Most stakeholders in both settings shared similar barriers and facilitators in the organizational, professional, and intervention levels. However, external contextual factors (i.e., current teleconsultation legislation, available incentives, and level of public awareness) played an important and differing role in teleconsultation uptake and had a direct effect on the organization, the professionals involved, and the type of technology used. Political and organizational actions are required to develop a comprehensive legal framework for the sustainable development of teleconsultation in both settings.

Exercise-Based Real-time Telerehabilitation for Older Adult Patients Recently Discharged After Transcatheter Aortic Valve Implantation: Mixed Methods Feasibility Study

BACKGROUND

The use of telehealth technology to improve functional recovery following transcatheter aortic valve implantation (TAVI) has not been investigated.

OBJECTIVE

In this study, we aimed to examine the feasibility of exercise-based cardiac telerehabilitation after TAVI.

METHODS

This was a single-center, prospective, nonrandomized study using a mixed methods approach. Data collection included testing, researchers' observations, logbooks, and individual patient interviews, which were analyzed using a content analysis approach. The intervention lasted 3 weeks and consisted of home-based web-based exercise training, an activity tracker, a TAVI information website, and 1 web-based session with a nurse.

RESULTS

Of the initially included 13 patients, 5 (40%) completed the study and were interviewed; the median age was 82 (range 74-84) years, and the sample comprised 3 men and 2 women. Easy access to supervised exercise training at home with real-time feedback and use of the activity tracker to count daily steps were emphasized by the patients who completed the intervention. Reasons for patients not completing the program included poor data coverage, participants' limited information technology skills, and a lack of functionality in the systems used. No adverse events were reported.

CONCLUSIONS

Exercise-based telerehabilitation for older people after TAVI, in the population as included in this study, and delivered as a web-based intervention, does not seem feasible, as 60% (8/13) of patients did not complete the study. Those completing the intervention highly appreciated the real-time feedback during the web-based training sessions. Future studies should address aspects that support retention rates and enhance patients' information technology skills.

Exploring Adoption and Satisfaction with Self-Service Health Technology in Older Age: Perspectives of Healthcare Professionals and Older People

(1) Background. A range of self-service technologies (SST) have been adapted to support the health of older people. Factors involved in older people’s and health professionals’ perceptions of SST in older age were investigated. (2) Methods. Customer Dominant Logic guided this prospective mixed-methods study, including surveys with people 70 years and over and health professionals and individual semi-structured interviews in a sample of survey respondents. Survey data were descriptively analysed, while interview themes were derived inductively. (3) Results. Surveyed (n = 12) people 70 years and over placed higher value, expressed more positive user experience, were more satisfied and had greater recognition of the benefits of SST, compared with (n = 10) health professionals (p = 0.001), who considered them to be inferior to traditional healthcare. All seven interviewees agreed that despite accessibility issues and complexity, they valued SST support of older people’s health, thereby confirming the relevance of Customer Dominant Logic in SST offerings. (4) Conclusions. Since older participants were positive and satisfied in using SSTs that are health-supporting, health professionals have a role in encouraging and assisting older people in their use. This requires targeted SST education for health professionals, and more accessible, user-friendly SST and technological support for older people.

Predictors, types of Internet use, and the psychological well-being of older adults: A comprehensive model

OBJECTIVES

This study aims to evaluate a comprehensive model that includes predictors of use, types of internet use, and psychological well-being outcomes in the older population.

METHODS

The total sample comprised 650 older Internet users. Structural equation modeling was used to estimate the effect of predictors (i.e., effort expectancy, performance expectancy, social influence, and ageism) on types of Internet use (i.e., information seeking, communication, instrumental use, and leisure) and the impact of the type of use on the psychological well-being of older adults (i.e., depressive and anxious symptomatology). In addition, the indirect effect of different types of Internet use was evaluated, that is, they were considered as mediator variables.

RESULTS

Effort expectancy, social influence, and ageism predicted different types of Internet use. The relationship between effort expectancy and anxious symptomatology had an indirect effect via information seeking, whereas the relationship between ageism and anxious symptomatology showed an indirect effect via leisure.

DISCUSSION

The findings support the importance of differentiating the types of Internet use to understand its impact on psychological well-being. Information seeking is associated with anxious symptomatology and is predicted by effort expectancy. On the contrary, leisure is crucial because of its relationship with anxious symptomatology, and less ageism can promote it. This information is useful for developing effective interventions that promote the well-being of older adults through the Internet, including strategies to cope with some online challenges that could lead to negative consequences, such as overload information.

Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review

OBJECTIVES

This scoping review aims to identify the level of willingness, the existing barriers, and motivators among older adults in using mobile applications to monitor and manage their health conditions. The secondary aim of this paper is to categorise these willingness, barriers and motivators using the Theoretical Domains Framework (TDF).

DESIGN

Scoping review.

DATA SOURCE

PubMed, Embase, CINAHL, Cochrane Library, Google Scholar and Science Direct (January 2009-December 2020).

STUDY SELECTION

Studies that describe older adults' perspectives with regard to their willingness, barriers or motivators towards the use of mobile applications in monitoring and managing their health condition were included.

DATA EXTRACTION

Titles and abstracts were initially screened by two reviewers. Articles agreed by both reviewers were proceeded to full-text screening. One reviewer extracted the data, which were verified by a second reviewer. Findings were further classified according to the 14 TDF domains by two researchers.

RESULTS

Six studies were included in the final scoping review. Barriers to adopting mobile applications for health-related interventions among older adults were the most common topic identified in the included studies. Barriers included being unaware of the existence of mobile health applications, lack of technological skills, lack of perceived ability and time, absence of professional involvements, and violation of trust and privacy. With regard to willingness, older adults are willing to use mobile applications if the apps incorporated features from a trusted source and have valid credentials. Motivators included continuous improvements of mobile applications' design interface and personalised features tailored to older adults' needs.

CONCLUSIONS

With the constant research for more diversified technology, the development of mobile applications to help older adults to manage and monitor health is seen as feasible, but barriers have to be addressed. The most prominent barriers linked to TDF domains were: (1) technological skills, (2) belief about consequences, and (3) memory, attention and decision process. Future interventions should use behaviour change techniques that target these three TDF domains in order to improve the ability to engage older adults with mobile technology.

Exploring Telehealth Readiness in a Resource Limited Setting: Digital and Health Literacy among Older People in Rural India (DAHLIA)

An ageing population, disproportionally affecting developing countries, increases demand on healthcare systems. Digital health offers access to healthcare for older people, particularly those residing in rural areas, as is the case for 71% of older adults in India. This research examined technology uptake and digital and health literacy (eHEALS) among a sample of 150 older adults in rural Mysore and Suttur, India. The study utilised mixed-method, with descriptive analysis of quantitative data and thematic analysis of qualitative data. Low rates of digital (11%) and health literacy (3-27% across domains) were identified. Mobile phone ownership was 50%, but very few owned or used a smartphone and less than 10% used the Internet to contact health professionals. Qualitative analysis found low technology usage, driven by limited exposure and confidence in using digital devices. Barriers to usage included poor traditional literacy and physical aspects of ageing like poor vision. Social support from neighbours, family and local primary healthcare staff may enable adoption of digital health. Access to healthcare through digital means among Indian rural older adults needs to consider low rates of both digital and health literacy and leverage the value of support from family and primary healthcare providers.

Involving Older Adults During COVID-19 Restrictions in Developing an Ecosystem Supporting Active Aging: Overview of Alternative Elicitation Methods and Common Requirements From Five European Countries

Background

Information and communication technology solutions have the potential to support active and healthy aging and improve monitoring and treatment outcomes. To make such solutions acceptable, all stakeholders must be involved in the requirements elicitation process. Due to the COVID-19 situation, alternative approaches to commonly used face-to-face methods must often be used. One aim of the current article is to share a unique experience from the Pharaon project where due to the COVID-19 outbreak alternative elicitation methods were used. In addition, an overview of common functional, quality, and emotional goals identified by six pilot sites is presented to complement the knowledge about the needs of older adults.

Methods

Originally planned face-to-face co-creation seminars were impossible to carry out, and all pilot sites chose alternative requirements elicitation methods that were most suitable in their situation. The elicited requirements were presented in the form of goal models. In one summary goal model, we provide an overview of common functional, quality, and emotional goals.

Results

Different elicitation methods were combined based on the digital literacy of the target group and their access to digital tools. Methods applied without digital technologies were phone interviews, reviews of literature and previous projects, while by means of digital technologies online interviews, online questionnaires, and (semi-)virtual co-creation seminars were conducted. The combination of the methods allowed to involve all planned stakeholders. Virtual and semi-virtual co-creation seminars created collaborative environment comparable to face-to-face situations, while online participation helped to save the time of the participants. The most prevalent functional goals elicited were “Monitor health,” “Receive advice,” “Receive information.” “Easy to use/comfortable,” “personalized/tailored,” “automatic/smart” were identified as most prevalent quality goals. Most frequently occurring emotional goals were “involved,” “empowered,” and “informed.”

Conclusion

There are alternative methods to face-to-face co-creation seminars, which effectively involve older adults and other stakeholders in the requirements elicitation process. Despite the used elicitation method, the requirements can be easily transformed into goal models to present the results in a uniform way. The common requirements across different pilots provided a strong foundation for representing detailed requirements and input for further software development processes.

Perceptions of Digital Technology Experiences and Development Among Family Caregivers and Technology Researchers: Qualitative Study

Background

Caregiving is highly stressful and is associated with poor mental and physical health. Various technologies, including mobile and eHealth apps, have been developed to address caregiver needs. However, there is still a paucity of research examining the technology perceptions of informal caregivers, especially from the perspectives of sex, gender, and diversity.

Objective

To address the research gap and inform the development of future caregiving technologies, this study aims to examine how family caregivers perceive using technology to assist with their caregiving routines; identify the sex, gender, and diversity factors that shape these perceptions; and understand how these perceptions and needs are reflected within the current technology development process.

Methods

Semistructured interviews were conducted with 16 informal caregivers of individuals with a range of chronic medical conditions and 8 technology researchers involved in caregiving technology projects.

Results

Three main themes with subthemes were developed. The first main theme is that caregivers see a need for technology in their lives, and it comprises the following 3 subthemes: caregiving is a challenging endeavor, technology is multifaceted, and caregiver preferences facilitate technology use. The second main theme is that relationships play a vital role in mediating technology uptake, and it comprises the following 2 subthemes: the caregiver-care recipient dynamic shapes technology perceptions and caregivers rely on external sources for technology information. Finally, the third main theme is that barriers are present in the use and adoption of technology, and it comprises the following 2 subthemes: technology may not be compatible with personal values and abilities and technology that is not tailored toward caregivers lacks adoption.

Conclusions

The findings highlight the multifaceted role that technology can play in aiding caregiving while drawing attention to the perceived drawbacks of these technologies among caregivers. The inclusion of technology researchers in this study provides a more holistic understanding of technologies in caregiving from their initial development to their eventual uptake by caregivers.

The Development History and Research Tendency of Medical Informatics: Topic Evolution Analysis

BACKGROUND

Medical informatics has attracted the attention of researchers worldwide. It is necessary to understand the development of its research hot spots as well as directions for future research.

OBJECTIVE

The aim of this study is to explore the evolution of medical informatics research topics by analyzing research articles published between 1964 and 2020.

METHODS

A total of 56,466 publications were collected from 27 representative medical informatics journals indexed by the Web of Science Core Collection. We identified the research stages based on the literature growth curve, extracted research topics using the latent Dirichlet allocation model, and analyzed topic evolution patterns by calculating the cosine similarity between topics from the adjacent stages.

RESULTS

The following three research stages were identified: early birth, early development, and rapid development. Medical informatics has entered the fast development stage, with literature growing exponentially. Research topics in medical informatics can be classified into the following two categories: data-centered studies and people-centered studies. Medical data analysis has been a research hot spot across all 3 stages, and the integration of emerging technologies into data analysis might be a future hot spot. Researchers have focused more on user needs in the last 2 stages. Another potential hot spot might be how to meet user needs and improve the usability of health tools.

CONCLUSIONS

Our study provides a comprehensive understanding of research hot spots in medical informatics, as well as evolution patterns among them, which was helpful for researchers to grasp research trends and design their studies.

Exploring Barriers to and Enablers of the Adoption of Information and Communication Technology for the Care of Older Adults With Chronic Diseases: Scoping Review

BACKGROUND

Information and communication technology (ICT) offers considerable potential for supporting older adults in managing their health, including chronic diseases. However, there are mixed opinions about the benefits and effectiveness of ICT interventions for older adults with chronic diseases.

OBJECTIVE

We aim to map the use of ICT interventions in health care and identified barriers to and enablers of its use among older adults with chronic disease.

METHODS

A scoping review was conducted using 5 databases (Ovid MEDLINE, Embase, Scopus, PsycINFO, and ProQuest) to identify eligible articles from January 2000 to July 2020. Publications incorporating the use of ICT interventions, otherwise known as eHealth, such as mobile health, telehealth and telemedicine, decision support systems, electronic health records, and remote monitoring in people aged ≥55 years with chronic diseases were included. We conducted a strengths, weaknesses, opportunities, and threats framework analysis to explore the implied enablers of and barriers to the use of ICT interventions.

RESULTS

Of the 1149 identified articles, 31 (2.7%; n=4185 participants) met the inclusion criteria. Of the 31 articles, 5 (16%) mentioned the use of various eHealth interventions. A range of technologies was reported, including mobile health (8/31, 26%), telehealth (7/31, 23%), electronic health record (2/31, 6%), and mixed ICT interventions (14/31, 45%). Various chronic diseases affecting older adults were identified, including congestive heart failure (9/31, 29%), diabetes (7/31, 23%), chronic respiratory disease (6/31, 19%), and mental health disorders (8/31, 26%). ICT interventions were all designed to help people self-manage chronic diseases and demonstrated positive effects. However, patient-related and health care provider-related challenges, in integrating ICT interventions in routine practice, were identified. Barriers to using ICT interventions in older adults included knowledge gaps, a lack of willingness to adopt new skills, and reluctance to use technologies. Implementation challenges related to ICT interventions such as slow internet connectivity and lack of an appropriate reimbursement policy were reported. Advantages of using ICT interventions include their nonpharmacological nature, provision of health education, encouragement for continued physical activity, and maintenance of a healthy diet. Participants reported that the use of ICT was a fun and effective way of increasing their motivation and supporting self-management tasks. It gave them reassurance and peace of mind by promoting a sense of security and reducing anxiety.

CONCLUSIONS

ICT interventions have the potential to support the care of older adults with chronic diseases. However, they have not been effectively integrated with routine health care. There is a need to improve awareness and education about ICT interventions among those who could benefit from them, including older adults, caregivers, and health care providers. More sustainable funding is required to promote the adoption of ICT interventions. We recommend involving clinicians and caregivers at the time of designing ICT interventions.

Demand analysis of an intelligent medication administration system for older adults with chronic diseases based on the Kano model

Objectives

Gerontechnology has great potential in promoting older adults’ well-being. With the accelerated aging process, gerontechnology has a promising market prospect. However, most technological developers and healthcare professionals attached importance to products’ effectiveness, and ignored older adults’ demands and user experience, which reduced older adults' adoption intention of gerontechnology use. The inclusion of older adults in the design process of technologies is essential to maximize the effect. This study explored older adults’ demands for a self-developed intelligent medication administration system and proposed optimization schemes, thus providing reference to developing geriatric-friendly technologies and products.

Methods

A cross-sectional survey was conducted to explore older adults’ technological demands for the self-developed intelligent medication administration system, and data were analyzed based on the Kano model. A self-made questionnaire was administered from July 2020 to October 2020 after participants used this system for two weeks. The study was registered with the Chinese Clinical Trial Registry (ChiCTR2000040644).

Results

A total of 354 older adults participated in the survey. Four items, namely larger font size, simpler operation process, scheduled medication reminders and reliable hardware, were classified as must-be attributes; three items, namely searching drug instructions through WeChat, more sensitive system and longer battery life, as attractive attributes; one item, viewing disease-related information through WeChat, as the one-dimensional attribute; and the rest were indifferent attributes, including simple and beautiful displays, blocking advertisements automatically, providing user privacy protection protocol, viewing personal medical information only by logged-in users, recording all the medications, ordering medications through WeChat. The satisfaction values were between 0.24 and 0.69, and dissatisfaction values were between 0.06 and 0.94.

Conclusion

This study suggested that older adults had personalized technology demands. Including their technological demands and desire may assist in decreasing the digital divide and promoting the satisfaction of e-health and/or m-health. Based on older adults’ demands, our study proposed optimization schemes of the intelligent medication administration system, which may help developers design geriatric-friendly intelligent products and nurses to perform older adults-centered and efficient medication management.

The willingness to use mobile health and its influencing factors among elderly patients with chronic heart failure in Shanghai, China

OBJECTIVE

The purpose of this study was to explore the willingness of elderly patients with chronic heart failure to use mobile health for health management in Shanghai and analyze influencing factors.

METHODS

The study was conducted from August 2020 to July 2021. A convenience sample of 181 elderly patients with chronic heart failure recruited from three tertiary hospitals and one health service center in Shanghai completed self-developed structured questionnaires. The data collected included demographic information, health status, knowing about mobile health, usage of mobile health, willingness to use mobile health for health management, and beliefs about mobile health. SPSS20.0 software was used for analyzing data.

RESULTS

Eighty-four patients (46.4%) expressed their willingness to use mobile health. Logistic regression analyses showed that knowing about mobile health (OR = 16.30, p < 0.001), usage of mobile health (OR = 15.36, p < 0.001), self-rated health (good vs. poor: OR = 15.03, p = 0.003; neutral vs. poor: OR = 3.00, p = 0.006), perceived ease of use (OR = 3.86, p = 0.002), perceived usefulness (OR = 1.90, p < 0.001), and self-efficacy (OR = 1.43, p < 0.001) were important factors influencing the willingness to use mobile health.

CONCLUSIONS

There is a need for developing user-friendly and useful mobile health for elderly patients with chronic heart failure. The participatory approach could be used to develop mobile health intervention. In addition, mobile health should be promoted, publicized, and trained among this group of population.

A Digital Platform to Support Self-management of Multiple Chronic Conditions (ProACT): Findings in Relation to Engagement During a One-Year Proof-of-Concept Trial

Background

Populations globally are ageing, resulting in higher incidence rates of chronic diseases. Digital health platforms, designed to support those with chronic conditions to self-manage at home, offer a promising solution to help people monitor their conditions and lifestyle, maintain good health, and reduce unscheduled clinical visits. However, despite high prevalence rates of multimorbidity or multiple chronic conditions, most platforms tend to focus on a single disease. A further challenge is that despite the importance of users actively engaging with such systems, little research has explored engagement.

Objective

The objectives of this study are to design and develop a digital health platform, ProACT, for facilitating older adults self-managing multimorbidity, with support from their care network, and evaluate end user engagement and experiences with this platform through a 12-month trial.

Methods

The ProACT digital health platform is presented in this paper. The platform was evaluated in a year-long proof-of-concept action research trial with 120 older persons with multimorbidity in Ireland and Belgium. Alongside the technology, participants had access to a clinical triage service responding to symptom alerts and a technical helpdesk. Interactions with the platform during the trial were logged to determine engagement. Semistructured interviews were conducted with participants and analyzed using inductive thematic analysis, whereas usability and user burden were examined using validated questionnaires.

Results

This paper presents the ProACT platform and its components, along with findings on engagement with the platform and its usability. Of the 120 participants who participated, 24 (20%) withdrew before the end of the study, whereas 3 (2.5%) died. The remaining 93 participants actively used the platform until the end of the trial, on average, taking 2 or 3 health readings daily over the course of the trial in Ireland and Belgium, respectively. The participants reported ProACT to be usable and of low burden. Findings from interviews revealed that participants experienced multiple benefits as a result of using ProACT, including improved self-management, health, and well-being and support from the triage service. For those who withdrew, barriers to engagement were poor health and frustration when technology, in particular sensing devices, did not work as expected.

Conclusions

This is the first study to present findings from a longitudinal study of older adults using digital health technology to self-manage multimorbidity. Our findings show that older adults sustained engagement with the technology and found it usable. Potential reasons for these results include a strong focus on user-centered design and engagement throughout the project lifecycle, resulting in a platform that meets user needs, as well as the integration of behavior change techniques and personal analytics into the platform. The provision of triage and technical support services alongside the platform during the trial were also important facilitators of engagement.

International Registered Report Identifier (IRRID)

RR2-10.2196/22125

Learning and Use of eHealth Among Older Adults Living at Home in Rural and Nonrural Settings: Systematic Review

Background

Care policies emphasize deinstitutionalization and aging in place in response to demographic changes. Different eHealth technologies are one way to achieve this aim. However, there is a need to better understand older adults’ needs for eHealth services, and thus, these health solutions require further exploration.

Objective

The purpose of this systematic literature review is to appraise, synthesize, and summarize the literature on older adults’ (aged ≥60 years) eHealth learning and use in real home settings, particularly in rural and remote areas, with a focus on the social and cultural context.

Methods

A systematic search was conducted in January 2020 using 4 academic databases. The studies by means of qualitative thematic analysis to identify the barriers, enablers, and support practices involved in the domestication process were examined. In addition, we identified the various meanings attached to eHealth technologies for older adults living in rural and remote areas.

Results

In total, 31 empirical studies published between 2010 and 2020 were included in this review. A total of 17 articles included participants from rural and remote areas. The most regularly reported barriers related to older adults’ learning to use and use of eHealth were health-related difficulties, such as cognitive impairment or impaired hearing. The most reported enabler was the support provided for older adults in learning and use of eHealth. Support mainly comprised older adults’ own digital competences, which were distributed with their social network. It was found that eHealth technology is needed for rural and remote areas to facilitate access and reduce logistical barriers to health care services.

Conclusions

The literature review provided information and practical implications for designers, health care providers, and policy makers. On the basis of these findings, eHealth technologies should be easy to use, and adequate support should be provided to older adults for use.

Telemedicine Readiness Across Medical Conditions in a US National Representative Sample of Older Adults

Telemedicine has provided older adults the ability to seek care remotely during the coronavirus disease (COVID-19) pandemic. However, it is unclear how diverse medical conditions play a role in telemedicine uptake. A total of 3379 participants (≥65 years) were interviewed in 2018 as part of the National Health and Aging Trends Study. We assessed telemedicine readiness across multiple medical conditions. Most chronic medical conditions and mood symptoms were significantly associated with telemedicine unreadiness, for physical or technical reasons or both, while cancer, hypertension, and arthritis were significantly associated with telemedicine readiness. Our findings suggest that multiple medical conditions play a substantial role in telemedicine uptake among older adults in the US. Therefore, comorbidities should be taken into consideration when promoting and adopting telemedicine technologies among older adults.

What drives older adults' use of mobile registration apps in Taiwan? An investigation using the extended UTAUT model

This study aimed to provide an integrated model that examines the determinants of older adults' intention to use mobile registration applications (apps) based on UTAUT, and the role of aging factors including perceived physical condition, technology anxiety, inertia, and self-actualization needs. The proposed model was tested by PLS (Partial Least Squares) with data collected from 361 older adults. Results indicated that three variables derived from UTAUT, namely performance expectancy, social influence, and facilitating conditions, influence mobile registration app usage intention. Additionally, the aging factors of inertia and self-actualization needs have significant impacts on older adults' usage intentions. Results further demonstrated that smart phone usage experience had a moderator effect on the relationship between usage intention and three antecedents (performance expectancy, effort expectancy, facilitating condition), but not social influence. Findings provide valuable theoretical contributions for researchers, and practical implications for hospitals developing mobile registration apps in Taiwan.

Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model

Promoting healthy behavior among seniors is important in reducing the burden of care and healthcare expenses in a rapidly aging society. Health apps can play an important role in health promotion for older adults, but the level of user retention in health apps is low. To increase continued health app use among older adults, this study examined the factors influencing older users’ continuance intentions to use health apps. The research model was developed based on the social cognitive theory of health behavior, which integrates cognitive, environmental, and behavioral perspectives. To test the research model, an anonymous online survey was conducted among respondents aged 60 to 79 years who were using health apps. The measurement items in the questionnaire were developed based on validated scales from the literature. A total of 250 samples were analyzed. The assessment of the measurement model indicates that the reliability and validity of the items are satisfactory. The results of testing the structural model illustrate the determinants of health app continuance intention: health technology self-efficacy, self-evaluative outcome expectations, self-regulation, and privacy risk. The interrelationships among determinants are also investigated. Theoretical and practical implications are suggested to encourage older adults’ continued health app use and promote their health behavior over the long term.

Nursing Research on Patients with Chronic Obstructive Pulmonary Disease and Respiratory Failure Based on Big Data

This work organically integrates a systematic and individualized nursing plan with big data technology and applies it to the care of patients with chronic obstructive pulmonary disease (COPD) and respiratory failure (RF) and explores the continuous care model based on modern big data technologies to improve COPD and RF. It aims to relieve the symptoms of COPD and RF, reduce the number of acute episodes of COPD and RF and the number of hospitalizations, and improve the quality of life of patients. One hundred COPD and RF patients hospitalized in the respiratory medicine department of a tertiary hospital were selected and were categorized into control and experimental group. The nursing mode of the patients in the control group was the original telephone follow-up in the department, and the contents of the follow-up were determined according to the questions of the patients on the telephone at that time. Based on the original nursing in the department, the experimental group adopted individualized continual nursing plans based on the Internet and big data techniques for patients to conduct a pulmonary rehabilitation-related functional assessment, functional exercise guidance, and health guidance. Experimental results show that, compared with traditional continuous care, individualized continuous care combined with big data techniques can improve the lung function of patients with stable COPD and RF, reduce the number of acute COPD and RF attacks and the number of readmissions, and improve self-management ability and quality of life. The method can be applied and implemented in continuous nursing care.