Mobile health solutions for the aging population: A systematic narrative analysis

Attributes, Quality, and Downloads of Dementia-Related Mobile Apps for Patients With Dementia and Their Caregivers: App Review and Evaluation Study

BACKGROUND

The adoption of mobile health (mHealth) apps among older adults (>65 years) is rapidly increasing. However, use of such apps has not been fully effective in supporting people with dementia and their caregivers in their daily lives. This is mainly attributed to the heterogeneous quality of mHealth apps, highlighting the need for improved app quality in the development of dementia-related mHealth apps.

OBJECTIVE

The aims of this study were (1) to assess the quality and content of mobile apps for dementia management and (2) to investigate the relationship between app quality and download numbers.

METHODS

We reviewed dementia-related mHealth apps available in the Google Play Store and Apple App Store in Taiwan. The identified mobile apps were stratified according to a random sampling approach and evaluated by five independent reviewers with sufficient training and proficiency in the field of mHealth and the related health care sector. App quality was scored according to the user version of the Mobile Application Rating Scale. A correlation analysis was then performed between the app quality score and number of app downloads.

RESULTS

Among the 17 apps that were evaluated, only one was specifically designed to provide dementia-related education. The mean score for the overall app quality was 3.35 (SD 0.56), with the engagement (mean 3.04, SD 0.82) and information (mean 3.14, SD 0.88) sections of the scale receiving the lowest ratings. Our analyses showed clear differences between the top three- and bottom three-rated apps, particularly in the entertainment and interest subsections of the engagement category where the ratings ranged from 1.4 to 5. The top three apps had a common feature in their interface, which included memory, attention, focus, calculation, and speed-training games, whereas the apps that received lower ratings were found to be deficient in providing adequate information. Although there was a correlation between the number of downloads (5000 or more) and app quality (t15=4.087, P<.001), this may not be a significant determinant of the app's perceived impact.

CONCLUSIONS

The quality of dementia-related mHealth apps is highly variable. In particular, our results show that the top three quality apps performed well in terms of engagement and information, and they all received more than 5000 downloads. The findings of this study are limited due to the small sample size and possibility of disregarding exceptional occurrences. Publicly available expert ratings of mobile apps could help people with dementia and their caregivers choose a quality mHealth app.

Health behavior outcomes in stroke survivors prescribed wearables for atrial fibrillation detection stratified by age

BACKGROUND

Smartwatches have become readily accessible tools for detecting atrial fibrillation (AF). There remains limited data on how they affect psychosocial outcomes and engagement in older adults. We examine the health behavior outcomes of stroke survivors prescribed smartwatches for AF detection stratified by age.

METHODS

We analyzed data from the Pulsewatch study, a randomized controlled trial that enrolled patients (≥ 50 years) with a history of stroke or transient ischemic attack and CHA2DS2-VASc ≥ 2. Intervention participants were equipped with a cardiac patch monitor and a smartwatch-app dyad, while control participants wore the cardiac patch monitor for up to 44 days. We evaluated health behavior parameters using standardized tools, including the Consumer Health Activation Index, the Generalized Anxiety Disorder questionnaire, the 12-Item Short Form Health Survey, and wear time of participants categorized into three age groups: Group 1 (ages 50-60), Group 2 (ages 61-69), and Group 3 (ages 70-87). We performed statistical analysis using a mixed-effects repeated measures linear regression model to examine differences amongst age groups.

RESULTS

Comparative analysis between Groups 1, 2 and 3 revealed no significant differences in anxiety, patient activation, perception of physical health and wear time. The use of smartwatch technology was associated with a decrease in perception of mental health for Group 2 compared to Group 1 (β = -3.29, P = 0.046).

CONCLUSION

Stroke survivors demonstrated a willingness to use smartwatches for AF monitoring. Importantly, among these study participants, the majority did not experience negative health behavior outcomes or decreased engagement as age increased.

Personalizing Communication of Clinicians with Chronically Ill Elders in Digital Encounters-A Patient-Centered View

BACKGROUND

Chronically ill elderly patients are concerned about losing the personal connection with clinicians in digital encounters and clinicians are concerned about missing nonverbal cues that are important for the diagnosis, thus jeopardizing quality of care.

AIMS

This study validated the expectations and preferences of chronically ill elderly patients regarding specific communication messages for communication with clinicians in telemedicine.

METHODS

The sample comprised 600 elderly chronically ill patients who use telehealth. We used a conjoint-based experimental design to test numerous messages. The outcome variable is elder patient expectations from communication with clinicians in telemedicine. The independent variables were known categories of patient-clinician communication. Respondents rated each of the 24 vignettes of messages.

RESULTS

Mathematical clustering yielded three mindsets, with statistically significant differences among them. Members of mindset 1 were most concerned with non-verbal communication, members of mindset 2 prefer communication that enhances the internal locus of control, and members of mindset 3 have an external locus of control and strongly oppose any dialogue about their expectations from communication.

CONCLUSIONS

The use of the predictive algorithm that we developed enables clinicians to identify the belonging of each chronically ill elderly patient in the clinic to a sample mindset, and to accordingly personalize the communication in the digital encounters while structuring the encounter with greater specificity, therefore enhancing patient-centered care.

Multiple Perspectives on the Adoption of SMART Technologies for Improving Care of Older People: Mixed Methods Study

BACKGROUND

Despite the ever-increasing offering of SMART technologies (ie, computer-controlled devices acting intelligently and capable of monitoring, analyzing or reporting), a wide gap exists between the development of new technological innovations and their adoption in everyday care for older adults.

OBJECTIVE

This study aims to explore the barriers and concerns related to the adoption of SMART technologies among different groups of stakeholders.

METHODS

Data from 4 sources were used: semistructured in-person or internet-based interviews with professional caregivers (n=12), structured email interviews with experts in the area of aging (n=9), a web-based survey of older adults (>55 years) attending the Virtual University of the Third Age (n=369), and a case study on the adoption of new technology by an older adult care facility.

RESULTS

Although all stakeholders noted the potential of SMART technologies to improve older adult care, multiple barriers to their adoption were identified. Caregivers perceived older adults as disinterested or incompetent in using technology, reported preferring known strategies over new technologies, and noted own fears of using technology. Experts viewed technologies as essential but expressed concerns about cost, low digital competency of older adults, and lack of support or willingness to implement technologies in older adult care. Older adults reported few concerns overall, but among the mentioned concerns were lack of ability or interest, misuse of data, and limited usefulness (in specific subgroups or situations). In addition, older adults' ratings of the usefulness of different technologies correlated with their self-rating of digital competency (r=0.258; P<.001).

CONCLUSIONS

Older adults appeared to have more positive views of various technologies than professional caregivers; however, their concerns varied by the type of technology. Lack of competence and lack of support were among the common themes, suggesting that educationally oriented programs for both older adults and their caregivers should be pursued.

Telehealth impact on biomedical, psychosocial, and behavioural outcomes in patients with diabetes older than 50 years: A systematic synthesis without meta-analysis

BACKGROUND

Elderly people with diabetes are among high-risk groups that require more attention. With the increasing use of technology in healthcare, much emphasis has been placed on telehealth because of its potential to reduce unnecessary healthcare services consumption. We aimed to review and analyse the evidence of various interventions on the effect of using telehealth on biomedical, behavioural, and psychosocial outcomes in patients with diabetes over 50 years.

METHODS

The search method of this systematic synthesis without meta-analysis was guided by the preferred reporting items for systematic reviews (PRISMA) and the new reporting guideline synthesis without meta-analysis (SWiM) in systematic reviews. A coherent search strategy was designed to retrieve articles in databases such as PubMed, Embase, Scopus, Web of Science, and ClinicalTrials.gov from inception to June 2020. We excluded articles with eligibility criteria of the age of under 50 years old and studies conducted on patients with gestational diabetes. The outcomes were categorized into biomedical, behavioural, and psychosocial outcomes. The methodology of articles was evaluated by the Standard Cochrane Collaboration risk of bias tool in Revman 5.3 software.

FINDINGS

Overall, 18 studies with 8273 patients with diabetes over the age of 50 were included in this systematic review. Biomedical outcomes such as blood sugar tests and cholesterol tests had significant improvement by using telehealth. Frequency of self-monitored blood glucose (SMBG) and self-efficacy were behavioural outcomes that increased by telehealth utilization. Telehealth had a positive impact on psychosocial outcomes like depression, quality of life (QoL), cognitive decline, and social support.

INTERPRETATION

Telehealth has the ability to improve multiple outcomes such as behavioural and psychosocial outcomes in health services consumers. Due to varied telehealth interventions and follow-up durations, firm conclusions cannot be reached. As the research investigations studied in the present study were of different kinds and had used different follow-up periods, there is a need for further rigorous studies which consider socio-economic, cultural, and clinical differences.

Technology-Enabled Senior Living: A Preliminary Report on Stakeholder Perspectives

BACKGROUND

The integration of stakeholders is crucial in developing smart living technologies to support the autonomy of elderly populations. Despite the clear benefits of these technologies, there remains a significant gap in comprehensive research.

METHODS

This study presents the viewpoints of 19 stakeholders from Europe and Japan, focusing on the sustainability of smart living solutions for Active and Healthy Ageing (AHA). Data were gathered through qualitative semi-structured interviews and analysed using a Framework Analysis approach.

RESULTS

Analysis of the interviews revealed six key sustainability categories: addressing the unmet needs of older adults, functionalities of the smart living coach, integration within organizations, identified barriers, financial considerations, and the social role of the smart living coach.

CONCLUSIONS

This research underscores the importance of evaluating user needs through the involvement of various stakeholders, including the elderly, their caregivers, professionals, technicians, service providers, and government bodies. Collaborative efforts are essential to generate new evidence demonstrating the value of smart living solutions in facilitating Active and Healthy Ageing.

Self-Reported Hearing Loss Is Associated With Poorer Health Care Access, Delays, and Communication With Providers During the COVID-19 Pandemic: Findings From the Survey of the Health of Wisconsin COVID-19 Community Impact Survey

PURPOSE

This article aimed to evaluate associations of self-reported hearing loss with health care access and delays and difficulties communicating with health care providers during the COVID-19 pandemic.

METHOD

The COVID-19 Community Impact Survey was administered online to a sample of participants from the population-based Survey of the Health of Wisconsin study cohort in Spring 2021. Hearing loss was defined as self-reported fair or poor hearing. Difficulty with health care access and delays were defined as self-reporting needing but not getting medical care or self-reporting delays in appointments due to COVID-19, respectively. Poor communication with health care providers was defined as self-reported difficulties communicating with health care providers due to wearing a mask during the COVID-19 pandemic. Logistic regression models were used to evaluate associations between hearing loss and the health care outcomes. Results are presented as odds ratios (ORs) with 95% confidence intervals (95% CIs). First, models were adjusted for age and sex. Next, models were additionally adjusted for education, race/ethnicity, self-rated health, and number of chronic conditions.

RESULTS

This study included 1,582 participants (62.3% women; 11.9% non-White; age range: 18-75+ years). The number of participants with hearing loss was 196 (12.4%). After multivariable adjustment, self-reported hearing loss was associated with poorer health care access (OR = 2.41, 95% CI [1.62, 3.59]), health care delays (OR = 1.93, 95% CI [1.37, 2.71]), and increased difficulty communicating with health care providers wearing face masks (OR = 3.31, 95% CI [2.15, 5.08]) during the COVID-19 pandemic.

CONCLUSIONS

The impacts of the COVID-19 pandemic on difficulties accessing and using health care are likely exacerbated for individuals with hearing loss. There is a need for interventions that will optimize health care experiences for individuals with hearing loss, particularly when face masks and/or telecommunications are used to provide health care services.

The role of intergenerational support in shaping oral healthcare-seeking behavior among older adults in China

Background

This study aimed to explore how intergenerational support affects the oral healthcare or treatment-seeking behaviors of older Chinese adults and provide evidence for improving the oral health of the older adults in an aging society.

Methods

Data from a cross-sectional survey, the 2015 China Health and Retirement Longitudinal Study, were used to explore the relationship between oral healthcare-seeking behavior in older adults and various independent variables, such as marital status, number of children, offspring's education duration, parent-offspring interaction frequency, and financial/material support provided by children. The chi-square test and binary logistic regression were used.

Results

According to the results of data analysis, age, sex, marital status, cohabitation status, number of children, children's education level, and financial support from children affected older adults' oral healthcare-seeking behavior. Interviewees living with a partner and those who had 1-2 or 3-4 children showed different likelihoods of seeking oral healthcare. Moreover, interviewees whose children had higher education duration and those who received more financial/material support from their children were more likely to seek dental treatment.

Conclusion

Regarding the study's outcome, financial and emotional support, as well as practical assistance from family members can significantly promote oral health-seeking behavior among older adult people. Intergenerational support can serve as a crucial mechanism for promoting oral health behaviors among the older adults or act as a valuable complement to social medical assistance, warranting increased attention.

Rapid Roll Out of a Pacemaker Home Monitoring Programme: A Patient Perspective

OBJECTIVE

To assess the safety, efficacy, and patient acceptability of a pacemaker home monitoring (HM) service.

METHODS

All patients receiving a new Biotronik (Biotronik, Berlin, Germany) pacemaker between March 2020 and February 2021 were contacted for participation. Participants were surveyed on their experience of pacemaker HM. HM alerts and remote wound monitoring rates were also assessed.

RESULTS

Of the patients contacted, 77% responded, with a mean age of 80.6±9.9 years. Of these, 95.8% agreed that the home monitoring (HM) has been beneficial. Two thirds preferred HM to face-to-face follow-up and two thirds felt safe with HM. Three themes were identified from the comments: reassurance, technology and data security. Forty-one percent (41%) of respondents would like more reassurance that their HM is working, 18% mentioned technology with mixed responses, and 4.7% cited cybersecurity or the use of their personal data as a concern. The average one-way patient journey saved was 24.3±16.7 km (15.1±10.4 miles). One in three HM alerts required action but only 3.4% were urgent. Remote wound review was successful in 59%.

CONCLUSIONS

The majority of patients prefer HM and almost all think it has been beneficial. It saves significant travel time and provides actionable alerts. The patient experience could be improved by reassuring patients that their device is being monitored.

The Impact of Digital Health on Smoking Cessation

BACKGROUND

Smartphones have become useful tools for medicine, with the use of specific apps making it possible to bring health care closer to inaccessible areas, continuously monitor a patient's pathology at any time and place, promote healthy habits, and ultimately improve patients' quality of life and the efficiency of the health care system. Since 2020, the use of smartphones has reached unprecedented levels. There are more than 350,000 health apps, according to a 2021 IQVIA Institute report, that address, among other things, the management of patient appointments; communication among different services or professionals; the promotion of lifestyle changes related to adopting healthy habits; and the monitoring of different pathologies and chronic conditions, including smoking cessation. The number of mobile apps for quitting smoking is high. As early as 2017, a total of 177 unique smoking cessation-relevant apps were identified in the iPhone App Store, 139 were identified in Google Play, 70 were identified in the BlackBerry app store, and 55 were identified in the Windows Phone Store, but very few have adequate scientific support. It seems clear that efforts are needed to assess the quality of these apps, as well as their effectiveness in different population groups, to have tools that offer added value to standard practices.

OBJECTIVE

This viewpoint aims to highlight the benefits of mobile health (mHealth) and its potential as an adjuvant tool in health care.

METHODS

A review of literature and other data sources was performed in order to show the current status of mobile apps that can offer support for smoking cessation. For this purpose, the PubMed, Embase, and Cochrane databases were explored between May and November 2022.

RESULTS

In terms of smoking cessation, mHealth has become a powerful coadjuvant tool that allows health workers to perform exhaustive follow-ups for the process of quitting tobacco and provide support anytime and anywhere. mHealth tools are effective for different groups of smokers (eg, pregnant women, patients with chronic obstructive pulmonary disease, patients with mental illness, and the general population) and are cost-effective, generating savings for the health system. However, there are some patient characteristics that can predict the success of using mobile apps in the smoking cessation process, such as the lower age of patients, dependence on tobacco, the number of quit attempts, and the previous use of mobile apps, among others. Therefore, it is preferable to offer these tools to patients with a higher probability of quitting tobacco.

CONCLUSIONS

mHealth is a promising tool for helping smokers in the smoking cessation process. There is a need for well-designed clinical studies and economic evaluations to jointly assess the effectiveness of new interventions in different population groups, as well as their impact on health care resources.

Dental innovations which will influence the oral health care of baby boomers

From the widespread use of smartphones and tablets to the multitude of applications available, older adults are showing an interest in utilizing technology to maintain their independence and to improve their quality of life. As technology continues to advance and be incorporated into many day-to-day activities, the baby boom generation will see these changes affecting the way they access and utilize dental services. Innovative toothbrushes and chemotherapeutics are continuing to be developed and utilized by many older adults. Within the dental office, older adults are seeing greater application of technology in every day dental procedures. These include the use of teledentistry, artificial intelligence (AI), innovative restorative materials, digitization of fixed and removable prosthodontics, cone beam computed tomography (CBCT) scans to guide dental implant placement and endodontic procedures. There is also new technology to aid in cancer detection and shielding during cancer treatment. Improved communication between the medical and dental fields has become increasingly necessary to facilitate effective patient care and a few innovative healthcare systems have begun to consolidate these services. Overall, the baby boom generation will continue to see dental innovations that will change the way they experience everyday life and dental services.

The Impact of COVID-19 on the Prevalence and Perception of Telehealth Use in the Middle East and North Africa Region: Survey Study

BACKGROUND

Due to the COVID-19 pandemic, telehealth has become a safer way to access health care. The telehealth industry has rapidly expanded over the last decade as a modality to provide patient-centered care. However, the prevalence of its use and patient acceptability remains unclear in the Middle East and North Africa (MENA) region.

OBJECTIVE

The primary aim was to assess the prevalence of telehealth use before and during the pandemic by using social media (Instagram) as an online platform for survey administration across different countries simultaneously. Our secondary aim was to assess the perceptions regarding telehealth among those using it.

METHODS

An Instagram account that reaches 130,000 subjects daily was used to administer a questionnaire that assessed the current prevalence of telehealth use and public attitudes and acceptability toward this modality of health care delivery during the COVID-19 pandemic.

RESULTS

A total of 1524 respondents participated in the survey (n=1356, 89% female; median age 31 years), of whom 97.6% (n=1487) lived in the Gulf Cooperation Council (GCC) region. Prior to COVID-19, 1350 (88.6%) had no exposure to telehealth. Following the COVID-19 pandemic, telehealth use increased by 251% to a total of 611 users (40% of all users). About 89% (571/640) of telehealth users used virtual visits for specialist visits. Of the 642 participants who reported using telehealth, 236 (36.8%) reported their willingness to continue using telehealth, 241 (37.5%) were unsure, and 164 (25.5%) did not wish to continue to use telehealth after the COVID-19 pandemic. An inverse trend, although not statistically significant, was seen between willingness to continue telehealth use and the number of medical comorbidities (odds ratio [OR] 0.81, 95% CI 0.64-1.03; P=.09). Compared to the respondents who chose only messaging as the modality they used for telehealth, respondents who chose both messaging and phone calls were significantly less likely to recommend telehealth (OR 0.42, 95% CI 0.22-0.80; P=.009). Overall, there was general satisfaction with telehealth, and respondents reported that telehealth consultations made them feel safer and saved both time and money.

CONCLUSIONS

Telehealth use increased dramatically after the COVID-19 pandemic, and telehealth was found to be acceptable among some young adult groups on Instagram. However, further innovation is warranted to increase acceptability and willingness to continue telehealth use for the delivery of health care.

Evaluation of Patients' Satisfaction with the Transition of Internal Medicine Outpatient Clinics to Teleconsultation During COVID-19 Pandemic

Introduction: The utilization of telemedicine has been steadily rising and became more available during the coronavirus disease 2019 (COVID-19) pandemic to ensure the continuity of care and minimize the risk of exposure to the infection. The aim of this study was to evaluate patients' and caregivers' satisfaction to newly developed teleconsultation services at the internal medical outpatient clinics at a tertiary university hospital during the COVID-19 pandemic. Methods: A cross-sectional satisfaction evaluation was conducted between April 2020 and June 2020. Participants included patients or caregivers who were randomly selected to answer a multi-item questionnaire to measure satisfaction with the quality, effectiveness, and convenience of the service. Results: A total of 901 participants completed the satisfaction survey. Most of the patients were in the age group 45-64 years (43.7%). The main teleconsultation method was telephone call (99.2%) and 798 participants (88.6%) were satisfied with the quality of teleconsultation. There was no difference in satisfaction levels across the various specialty clinics or age groups. The service was viewed as convenient by 636 participants (70.5%) and 481 (56.6%) preferred to continue using telemedicine after the COVID-19 pandemic. Conclusion: The study revealed high level of satisfaction among patients and caregivers with the recently introduced teleconsultation services at internal medicine outpatient clinics during the COVID-19 pandemic, which is a relatively new concept in many countries. This opens the door to further utilize telemedicine as an integrated part to improve patient care beyond the pandemic.

Predicting Older Adults' Mobile Payment Adoption: An Extended TAM Model

This study adopted an advanced model, combining the technology acceptance model, the theory of reasoned action, the diffusion of innovations, trust, and five aspects of perceived risk, to measure the factors that influence the behavioral intentions of older adults to use mobile payments. A total of 365 questionnaires were collected from older adults aged 55 years or older from 20 community care sites in central Taiwan. Partial least-squares structural equation modeling was used to test our research model. The results showed that attitude was the main determinant of M-payment in older adults. Moreover, increasing the usefulness, ease of use, and observability of M-payment helped older adults improve their attitudes toward M-payment, thereby increasing their intention to use it. Trust had a significant effect on the usefulness and ease of use of M-payment, while the main factors affecting trust were only performance and financial risks.

Telephone and Smartphone-Based Interventions for Cognitive and Cardio-Metabolic Health in Middle-Aged and Older Adults: A Systematic Review

PURPOSE

Dementia and cardio-metabolic diseases share many risk factors. Management of these risk factors could contribute to successful aging, including the prevention of cardio-metabolic disease and dementia. The increasing use of smartphones offers an opportunity for remote preventive interventions. We provided a systematic review of telephone and smartphone-based interventions targeting the prevention of cognitive decline, dementia cardio-metabolic diseases or their risk factors among adults aged over 50 years.

PATIENTS AND METHODS

We searched Pubmed and the International Clinical Trials Registry Platform for experimental studies. We used the Cochrane risk-of-bias tool (Version 2) for randomized trials or TREND (Transparent Reporting of Evaluations with Nonrandomized Designs) checklists to assess study quality for completed studies.

RESULTS

We analyzed 21 completed (3 for cognition, 18 for cardio-metabolic outcomes) and 50 ongoing studies (23 for cognition, 27 for cardio-metabolic outcomes). Smartphone interventions were used in 26 studies (3 completed, 23 ongoing). Other interventions involved telephone vocal support and text messaging. Few studies were at low risk of bias. There were heterogeneous cognitive and cardio-metabolic outcomes. The highest quality studies found no significant effects on cognition, and inconsistent results for HbA1c, blood pressure or physical activity. The lower quality-studies found effects on global cognition, working memory, memory and language and inconsistent results for clinical, biological or behavioral cardio-metabolic outcomes.

CONCLUSION AND IMPLICATIONS

Despite the large number of commercially available mobile health applications, the magnitude of the scientific evidence base remains very limited. Based on published studies, the added value of telephone and smartphone tools for the prevention of cardio-metabolic diseases, cognitive decline or dementia is currently uncertain, but, there are several ongoing studies expected to be completed in the coming years.

Motivational Influences Affecting Middle-Aged and Elderly Users' Participation Intention in Health-Related Social Media

Social media provide users with multi-directional dialogue for creating and sharing health information that can effectively promote the self-management of health. In regard to the 'greying' trend in social media, most researchers have studied the health-related social media (HRSM) acceptance status and use behavior of middle-aged and elderly people, and have explored the role of HRSM in this group. However, the continuous participation of users is the key to the successful operation of HRSM, and is an essential prerequisite for the subsequent HRSM behavior habits of middle-aged and elderly people. Therefore, we aimed to explore what motivations drive the first use of HRSM among middle-aged and older adults, and the impact of their perception of HRSM, after personal use, on their intention to use it continually. In the study, we used the partial least squares structural equation model (PLS-SEM) to analyze data collected from online questionnaires. The results showed that a self-protection motivation and a social motivation promoted the initial participation of middle-aged and elderly individuals. In addition, these people experienced deeper levels of perceived usefulness and perceived entertainment after their initial participation. The results also revealed that these two perceptions could positively influence middle-aged and elderly individuals' intention to continue with their participation. Our findings should help service platforms to better understand the needs of middle-aged and elderly users. This would help researchers and practitioners to gain a more complete understanding of the motivation of middle-aged and elderly people for participating in HRSM, and the related impacts this may have.

The Usage of Digital Health Technology of the Elderly in Hong Kong and the Role of Technology Readiness and eHealth Literacy: A Path Analysis (Preprint)

BACKGROUND

Although digital health technologies (DHTs) help many people maintain a healthy life, including those of advanced age, these technologies are of little use to older adult populations if they are not being adopted in daily life. Thus, it is critical to identify ways to help older adults recognize and try new technologies and maintain their use of them to maximize the benefits of these technologies in a digital-based society.

OBJECTIVE

Our study aimed (1) to assess the current usage of DHT among older adults in Hong Kong and (2) to examine how high and low levels of eHealth literacy in this group affects the relationship between the Technology Readiness and Acceptance Model (TRAM) and attitudes and intention toward DHT.

METHODS

A total of 306 adults over 60 years of age in Hong Kong participated in this study. After conducting confirmatory factor analysis to validate the measurement model, the hypothesized model was tested using structural equation modeling.

RESULTS

Optimism was significantly related to perceived usefulness, while optimism, innovativeness, and discomfort were significantly associated with perceived ease of use. Both perceived usefulness and perceived ease of use were significantly linked to attitude toward the use of DHTs. Meanwhile, attitude significantly predicted usage intention. Additionally, the results revealed the differences in the relationships of the TRAM between participants with high and low levels of eHealth literacy. The influence of optimism and innovativeness on perceived ease of use was stronger for the higher-level group than for the lower-level group, and the influence of discomfort for the higher-level group was much weaker.

CONCLUSIONS

The findings provided partial support for the impact of eHealth literacy on encouraging older adults to use DHT and obtain health benefits from it. This study also suggests providing assistance and guidelines for older adults to narrow the aging-related technology gap and to further explore the associations of eHealth literacy, the TRAM, and actual behaviors.

Barriers and enablers of uptake and adherence to digital health interventions in older patients with cancer: A systematic review

INTRODUCTION

Digital health interventions (DHIs) provide patients with remote access to healthcare information and services through devices and online portals. Older patients (≥65 years old) with cancer may face difficulties using DHIs due to higher physical and psychological burden, but little is known about their pattern of use. The aim of this systematic review was to synthesise current findings related to user's perception of barriers and enablers to uptake and adherence of DHIs in this population.

METHODS

A search for English-language primary qualitative and mixed methods studies on uptake and adherence of DHIs among older patients with cancer was conducted on seven databases (CINAHL, Cochrane, Emcare, JBI, MEDLINE, Proquest, and SCOPUS), since inception until September 2021. Relevant data was extracted, appraised using the MMAT tool, and synthesised based on common themes.

RESULTS

Five studies met the eligibility criteria. All five studies examined barriers and enablers to uptake of DHIs but only two studies examined barriers and enablers to adherence to these interventions. Two themes - usability and perceived usefulness - emerged from all analyses. Usability was measured using system usability scale, ease of use survey, and observation or participant feedback. High usability to uptake was facilitated by minimalist and age-appropriate design. High usability to adherence was facilitated by customisability of DHIs and availability to provide feedback on DHI design. High perceived usefulness to uptake was facilitated by DHIs' ability to provide health information and to connect the patient to their healthcare team. High perceived usefulness to adherence was facilitated by DHIs ability to provide, reminders and contingency plans, reinforce long-term treatment plans, and keep healthcare teams updated on patients' progress. The review was limited by a small number of primary studies and longitudinal studies.

CONCLUSION

The enablers and barriers to uptake and adherence of DHIs among older patients with cancer followed the same themes (usability and perceived usefulness) found in other populations. The components of usability and perceived usefulness were similar to other populations, rendering the need for more studies to identify factors unique to this population.

The Effects of a Digital Well-Being Intervention in Older Adults: An Analysis of Real-World User Data (Preprint)

Background

Digital interventions have been shown to be effective for a variety of mental health disorders and problems. However, few studies have examined the effects of digital interventions in older adults; therefore, little is known about how older adults engage with or benefit from these interventions. Given that adoption rates for technology among people aged ≥65 years remain substantially lower than in the general population and that approximately 20% of older adults are affected by mental health disorders, research exploring whether older adults will use and benefit from digital interventions is needed.

Objective

This study aimed to examine the extent to which older adults engaged with a digital well-being intervention (Happify) and whether engaging with this program led to improvements in both subjective well-being and anxiety symptoms.

Methods

In this retrospective analysis, we analyzed data from 375 real-world Happify users aged ≥65 years who signed up for the platform between January 1, 2019, and December 23, 2021. Changes in well-being and anxiety symptoms across 42 to 182 days were assessed using responses to the in-app assessment, which users were prompted to take every 2 weeks, and were compared among users who engaged with the program at the recommended level (ie, 2 or more activities per week) or below the recommended level.

Results

In all, 30% (113/375) of the sample engaged with the platform at the recommended level (ie, completed an average of 2 or more activities per week), and overall, users completed an average of 43.35 (SD 87.80) activities, ranging from 1 to 786, between their first and last assessment. Users were also active on the platform for an average of 19.36 (SD 27.16) days, ranging from 1 to 152 days. Moreover, older adults who engaged at the recommended level experienced significantly greater improvements in subjective well-being (P=.002) and anxiety symptoms (P<.001) relative to those who completed fewer activities.

Conclusions

These data provide preliminary evidence that older adults engage with and benefit from digital well-being interventions. We believe that these findings highlight the importance of considering older adult populations in digital health research. More research is needed to understand potential barriers to using digital interventions among older adults and whether digital interventions should be modified to account for this population’s particular needs (eg, ensuring that the intervention is accessible using a variety of devices). However, these results are an important step in demonstrating the feasibility of such interventions in a population that is assumed to be less inclined toward digital approaches.

Antecedents for Older Adults' Intention to Use Smart Health Wearable Devices-Technology Anxiety as a Moderator

The increase in the demands for surveillance of chronic diseases, long-term care, and self-health management has allowed mobile smart health wearable devices to become products with greater business potential in past years. Wearable devices being able to be worn for long periods are the most suitable for 24-h weatherproof monitoring. Nevertheless, most technological products are not developed specifically for older adults. Older adults might be apprehensive and fearful about the use of technological equipment and might appear “technologically anxious”, so it was wondered whether older adults could smoothly operate and comfortably use smart wearable device products, and how “technological anxiety” would affect their behavior and attitude towards using these devices. The variables of “technology readiness”, “technological interactivity”, “perceived usefulness”, “perceived ease of use”, “attitude”, and “intention to use” are therefore discussed in this study. Taking “technological anxiety” as the moderating variable to develop the questionnaire scale, the quantitative research with structural equation model is applied to discuss the older adults’ intention to use smart health wearable devices. The questionnaire was distributed to older adults’ community care centers, senior centers, and senior learning centers in Taiwan, and to an older adults’ group above the age of 60 with experience in using smart bracelets. A total of 200 questionnaires were distributed, and 183 were retrieved, with 166 valid copies. The research results reveal that users with higher technology readiness, and older adult users with higher technological interactivity, present a higher perceived ease of use and perceived usefulness. Technological anxiety would affect users’ attitude and further influence the intention to use. The research results could help understand older adults’ needs for using smart health wearable devices.

Smartphone Use, Technology Affordance for Healthcare and Elders' Life Satisfaction

Previous studies have examined how smartphones influence the life satisfaction of the elderly, but the existence of conflicting conclusions suggests the existence of a “black box”. In this study, using a survey from 941 elders, we examine whether smartphone use can improve life satisfaction of the elders by inducing emotional affordance offered by social networking Apps and functional affordance offered by healthcare system Apps. It is found that both emotional affordance and functional affordance acted as intermediating variables between the use of smartphone and elders' life satisfaction. In addition, it is founded that living arrangement with adult children moderates the positive impact of smartphone use on functional affordance, but there was no such moderating effect on emotional affordance. This study offers insights about how digital healthcare innovation will be applied to increase well-being of elders by applying framework of selective optimization with compensation.

A Scoping Review for Usage of Telerehabilitation among Older Adults with Mild Cognitive Impairment or Cognitive Frailty

Older adults are vulnerable towards cognitive frailty that can lead to adverse health outcomes and telerehabilitation appears to be a potential platform to reverse cognitive frailty among older adults. The aim of this coping review is to identify the usage of telerehabilitation and its common platform of delivery among older adults with mild cognitive impairment (MCI) or cognitive frailty (CF). Articles published from January 2015 until October 2020 were selected. Out of the 1738 articles retrieved, six studies were identified. Two articles were randomized controlled trials, one was a pilot study and three were qualitative studies. The outcome suggests that telerehabilitation may improve the quality of life among participants as well as it can be a useful and supportive digital platform for health care. Some types of technologies commonly used were smartphones or telephones with internet, television-based assistive integrated technology, mobile application and videoconference. Telerehabilitation utilization in managing cognitive frailty among older adults is still limited and more research is required to evaluate its feasibility and acceptability. Although telerehabilitation appears to be implemented among older adults with MCI and CF, some social support is still required to improve the adherence and effectiveness of telerehabilitation. Future research should focus on the evaluation of acceptance and participants’ existing knowledge towards telerehabilitation to achieve its target.

Which Variant of Anxiety Is Associated with Smartphone Expertise in Community Dwelling Older Adults?

OBJECTIVES

Older adults vary greatly in their mastery of state-of-the-art smartphones. Anxiety may function as a barrier to technological expertise. This study characterizes an older community-dwelling sample (n = 71) in terms of their levels of demonstrated smartphone expertise relative to variants of anxiety (e.g., trait, social, tech-related).

METHODS

A 20-step behavioral smartphone challenge task, the Smartphone Task for Older Adults (STOA), was used to evaluate older adults' knowledge of a range of smartphone functions. Self-report measures of anxiety symptoms and perceived digital proficiency were also administered.

RESULTS

STOA scores were relatively low (x = 8.26, s.d. = 5.65) and showed negative relations with tech-anxiety and in-vivo frustration, but not social or trait anxiety. A hierarchical regression model indicated that tech-related anxiety and in-vivo frustration contributed significantly to STOA scores, above and beyond established predictors such as education.

CONCLUSIONS

Tech-anxiety and frustration while learning new smartphone functions may characterize the next cohort of older adults who have not effectively mastered the use of smartphones.

CLINICAL IMPLICATIONS

Anxiety management skills derived from cognitive behavior therapy and other self-regulation tools could help those who experience tech-anxiety or frustration during smartphone training, facilitating the development of expertise.

Factors affecting telepractice use in COVID-19

Background

The use of telepractice as an alternate method of delivering healthcare to people increased significantly after COVID-19 became a global pandemic.

Objectives

This study aimed to identify factors contributing to the accelerated adoption of telepractice during COVID-19 in Singapore. It also sought to examine whether there are differences in the perspectives of staff in nursing facilities and caregivers in personal homes towards telepractice.

Methods

A cross-sectional mixed method design was used. A survey with 20 items was adapted from the Telehealth Usability Questionnaire and translated into Mandarin. Anonymous responses were obtained from 70 patients and caregivers who had received speech therapy services via telepractice from a restructured hospital before and/or during Singapore’s Circuit Breaker period. Analyses were conducted using descriptive statistics and content analysis.

Results

Sociodemographic variables of age, gender, education level and language preference did not impact user satisfaction and the likelihood of using telepractice again. Service-related factors were more influential. Participants chose to use telepractice as it saved travelling time (24.0%), was easy to use (19.3%), improved healthcare access (17.5%) and reduced waiting time (17.5%). Although all respondents expressed satisfaction in telepractice, 35.5% from personal homes and 37.5% from nursing facilities were not keen to use it again. Amongst caregivers, 26.7% from personal homes and 37.5% from nursing facilities preferred not to continue telepractice use. Technical and logistical disruptions and the lack of ‘personal touch’ were contributing factors.

Conclusion

Improving technological infrastructure, providing training for users and developing guidelines would help sustain telepractice as a form of service delivery beyond COVID-19.

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.

Investigating the needs and concerns of older adults with multimorbidity and their healthcare professionals for conceivable digital psychotherapeutic interventions

Multimorbidity, defined as the concurrent experience of more than one chronic health condition in an individual, affects ∼65% of people over 65 and 85% of those over 85 years old with 30% of those also experiencing mental health concerns. This can lead to reduced quality of life and functioning as well as poorer outcomes in terms of condition management, adherence to treatment, and ultimately disease prognosis and progression. Digital health interventions offer a viable means of condition self-management, as well as psychological support, particularly for those who may have difficulty accessing in-person services. To best meet the needs of older adults with multimorbidity, deeper insights are needed into their specific concerns and issues around condition management, particularly with regard to distress in relation to managing one's condition. The present study aimed to explore this using one-to-one qualitative interviews and focus groups with people with chronic health conditions and healthcare professionals. Participants were 11 older adults with multimorbidity (4 males; mean age: M = 72.7 years) and 14 healthcare professionals including five clinical nurse specialists, four pharmacists, two general practitioners, one occupational therapist, one speech and language therapist and one dietician. Thematic analysis was used to identify key themes, which included: patient feelings of anxiety or worry leading to an unwillingness to access essential information; the various mental health challenges faced by those with multimorbidity; the importance of personal values in providing motivation; and the importance of social support. Findings are discussed in relation to the potential development of transdiagnostically applicable digital interventions for the management of distress in those with multimorbidity.

Understanding Physicians' Preferences for Telemedicine During the COVID-19 Pandemic: Cross-sectional Study

BACKGROUND

In contrast to the current broad dissemination of telemedicine across medical specialties, previous research focused on the effectiveness of telemedicine in special populations and for behavioral health encounters, demonstrating that both physician and patient factors impact the efficacious use of telemedicine.

OBJECTIVE

We aim to evaluate physician perceptions of the appropriateness of telemedicine for patients attending the primary care practices of a federally qualified health center in New York City.

METHODS

We used an anonymous cross-sectional survey including closed- and open-ended questions. We used chi-square to test whether providers from certain specialties were more likely to state they would use telemedicine in the future. We used t tests to compare age between those who would versus would not use telemedicine. We then used logistic regression to test whether age and specialty were both correlated with the desire to use telemedicine in the future. We used thematic content analysis to describe the reasons providers felt they would not want to use telemedicine in the future and to describe the situations for which they felt telemedicine would be appropriate.

RESULTS

Of 272 health care providers who were sent the electronic survey, 157 (58%) responded within the 2-week survey time frame. The mean age of providers was 45 (range 28-75) years. Overall, 80% (126/157) stated they would use telemedicine in the future. Compared to the family medicine, internal medicine, behavioral health, dental, and obstetrics and gynecology specialties, providers from pediatrics, med-peds, subspecialties, and surgery (protelemedicine specialties) were more likely to believe telemedicine would be useful post pandemic (61/67 [91%] vs 65/90 [72%]; P<.001). Providers who reported they would use telemedicine in the future were younger (mean age 44, range 42-46 years vs mean age 50, range 46-55 years; P=.048). In the regression analysis, both protelemedicine specialties and age were significantly associated with odds of reporting they would use telemedicine in the future (prospecialties: odds ratio 5.2, 95% CI 1.7-16.2; younger age: odds ratio 1.05, 95% CI 1.01-1.08). Providers who did not want to use telemedicine in the future cited concerns about inadequate patient care, lack of physical patient interaction, technology issues, and lack of necessity. Providers who felt telemedicine would be useful cited the following situations: follow-up visits, medication refills, urgent care, patient convenience, and specific conditions such as behavioral health, dermatology visits, and chronic care management.

CONCLUSIONS

The majority of health providers in this resource-limited setting in a federally qualified health center believed that telemedicine would be useful for providing care after the pandemic is over.

Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature

BACKGROUND

in diabetes, multiple mHealth solutions were produced and implemented for self-management behaviors. However, little research on the effectiveness of psychological techniques implemented within these mHealth solutions was carried out, and even less with the elderly population where technological barriers might exist. Reliable evidence generated through a comprehensive evaluation of mHealth interventions may accelerate its growth for successful long-term implementation and to help to experience mHealth benefits in an enhanced way in all ages.

OBJECTIVE

this study aimed to review mHealth solutions for diabetes self-management in older adults (adherence to treatments and glycemic control) by analyzing the effectiveness of specific psychological techniques implemented.

METHODS

a narrative review was conducted following preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. PubMed (Medline) and American Psychological Association (APA) PsycInfo databases were searched for published papers that addressed eHealth solutions' effectiveness for diabetes self-management. Studies in English, Spanish, and/or German of any design were screened, with no time constraints regarding the year of publication. A qualitative analysis of the selected papers was conducted in several steps.

RESULTS

this review found 38 studies setting up and analyzing mHealth solutions for older adults. Most research showed improvements in HbA1c, self-management behaviors, and medication adherence in T2DM patients post intervention. However, different mid-to-long term effects were found across studies, specifically concerning the maintenance and adherence to healthy behaviors. The most employed psychological framework was CBT, including techniques such as self-monitoring of outcome behaviors (mostly targeting glycemia measurements and healthy habits as physical activity and/or diet), tailored motivational feedback from medical staff, and psychoeducation or health coaches. The most successful mHealth intervention combined the feature of tailored feedback messages, interactive communication with healthcare professionals, and multifaceted functions.

CONCLUSIONS

there is a lack of elaborate and detailed information in the literature regarding the factors considered in the design and development of mHealth solutions used as interventions for T2DM self-management in the elderly. Documentation and inclusion of such vital information will foster a transparent and shared decision-making process that will ultimately lead to the development of useful and user-friendly self-management apps that can enhance the quality of life for diabetes patients. Further research adapting mHealth solutions to older adults' sensory deficits is necessary.

Patient Preparedness for Pelvic Organ Prolapse Surgery: A Randomized Equivalence Trial of Preoperative Counseling

OBJECTIVE

Preoperative counseling can affect postoperative outcomes and satisfaction. We hypothesized that patient preparedness would be equivalent after preoperative counseling phone calls versus preoperative counseling office visits before prolapse surgery.

METHODS

This was an equivalence randomized controlled trial of women undergoing pelvic organ prolapse surgery. Participants were randomized to receive standardized counseling via a preoperative phone call or office visit. The primary outcome was patient preparedness measured on a 5-point Likert scale by the Patient Preparedness Questionnaire at the postoperative visit. A predetermined equivalence margin of 20% was used. Two 1-sided tests for equivalence were used for the primary outcome.

RESULTS

We randomized 120 women. The study was concluded early because of COVID-19 and subsequent surgery cancellations. There were 85 participants with primary outcome data (43 offices, 42 phones). Mean age was 62.0 years (±1.0) and 64 (75.3%) had stage III or stage IV prolapse. The primary outcome, patient preparedness measured at the postoperative visit, was equivalent between groups (office, n = 43 [97.7%]; phone, n = 42 [97.6%], P < 0.001). Most women reported they would have preferred a phone call (n = 66, 65.5%) with more women in the phone group expressing this preference than the office group (office 40.5% vs phone 90.5%, P < 0.001). Ultimately, nearly all women (96.5%) were satisfied with their method of counseling.

CONCLUSIONS

Preoperative counseling phone calls were equivalent to office visits for patient preparedness for pelvic organ prolapse surgery. This study demonstrates patient acceptance of phone calls for preoperative counseling. Telehealth modalities should be considered as an option for preoperative patient counseling.

Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores

Background

Through the increasingly aging population, the health care system is confronted with various challenges such as expanding health care costs. To manage these challenges, mobile apps may represent a cost-effective and low-threshold approach to support older adults.

Objective

This systematic review aimed to evaluate the quality, characteristics, as well as privacy and security measures of mobile apps for older adults in the European commercial app stores.

Methods

In the European Google Play and App Store, a web crawler systematically searched for mobile apps for older adults. The identified mobile apps were evaluated by two independent reviewers using the German version of the Mobile Application Rating Scale. A correlation between the user star rating and overall rating was calculated. An exploratory regression analysis was conducted to determine whether the obligation to pay fees predicted overall quality.

Results

In total, 83 of 1217 identified mobile apps were included in the analysis. Generally, the mobile apps for older adults were of moderate quality (mean 3.22 [SD 0.68]). Four mobile apps (5%) were evidence-based; 49% (41/83) had no security measures. The user star rating correlated significantly positively with the overall rating (r=.30, P=.01). Obligation to pay fees could not predict overall quality.

Conclusions

There is an extensive quality range within mobile apps for older adults, indicating deficits in terms of information quality, data protection, and security precautions, as well as a lack of evidence-based approaches. Central databases are needed to identify high-quality mobile apps.

Monitoring Health Parameters of Elders to Support Independent Living and Improve Their Quality of Life

Improving the well-being and quality of life of the elderly population is closely related to assisting them to effectively manage age-related conditions such as chronic illnesses and anxiety, and to maintain their independence and self-sufficiency as much as possible. This paper presents the design, architecture and implementation structure of an adaptive system for monitoring the health and well-being of the elderly. The system was designed following best practices of the Human-Centred Design approach involving representative end-users from the early stages.

Evaluation and Feedback for Telehealth From Patients and Physicians During the Early Stage of COVID-19 Pandemic Period

Purpose

Many health care providers adopted telehealth during the coronavirus disease 2019 (COVID-19) pandemic. This unprecedented transformation in medical practice posed challenges to both physicians and patients. However, little is known about the adaptation of attendings, residents, and patients to this new normal. Thus, a survey was sent out to investigate the feedback of both physicians and patients on telehealth. 

Methods

Surveys were administered via phone call to patients and electronic survey to physicians at an internal medicine resident clinic in one tertiary community hospital from April to June 2020. Demographic information and assessment of overall experience, satisfaction, and concerns of telehealth were collected. Statistical analyses were performed to compare feedback between patients and physicians.

Results

Fifty patients and 45 physicians participated in the study. Eighty-four percent of patients were first- or second-time users, and 50% of patients were older than 60 years. Eighty-four percent of patients were very or extremely satisfied with telehealth, while 72% wanted to continue telehealth in the future. Ninety-four percent of patients believed that their concerns were adequately addressed, but 14% experiencing technical issues. Physicians' feedback to telehealth was less positive than the patients'. More than 60% of physicians experienced technical issues, and nearly 60% of physicians were neutral or not satisfied with telehealth. Nearly 50% of physicians had difficulty transitioning to telehealth, while only 29% believed that their patients’ complaints were adequately addressed. Most physicians had to schedule in-person visits after telehealth. Patients were more satisfied with telehealth than physicians (84% vs. 42%; p<0.001) and were more likely to believe that their concerns were properly addressed by telehealth (94% vs. 29%; p<0.001). 

Conclusion

This survey revealed that patients were more satisfied with telehealth than physicians. Further research with a larger sample should be considered to confirm this conclusion, and subjective studies are needed to determine the imbalance of satisfaction.

Mobile-Based Technology for the Management of Chronic Diseases in the Elderly: A Feasibility Study

INTRODUCTION

Population aging and related issues are among the most important challenges in different countries. It seems that the use of remote technology can provide the elderly with better healthcare services and can help them to manage chronic diseases. This research aimed to investigate the experts' views about the feasibility of using mobile-based technology to manage chronic diseases in the elderly.

METHODS

This was a survey study which was completed in 2018. The participants were the faculty members of the department of geriatrics across the country (n=33). In order to collect data, two questionnaires were used. The first questionnaire contained questions related to the five dimensions of a feasibility study and the second questionnaire consisted of five open questions about the opportunities, threats, strengths and weaknesses of using mobile-based technology in chronic disease management. The qualitative data were analyzed by using content analysis method and the quantitative data were analyzed by using descriptive statistics.

RESULTS

From the participants' perspectives, it was feasible to use mobile-based technology in chronic disease management for elderly people. The mean values for five feasibility dimensions were as follows: ethico-legal dimension (4.09±1.01), scheduling dimension (3.70±1.03), economic dimension (3.47±1.04), operational dimension (3.42±1.12) and technical dimension (3.07±1.27). While such a technology can help increasing the accessibility of healthcare services, raising health literacy, and saving time and costs, the main threats, namely; the misinterpretation of information and the possibility of breeching confidentiality should not be underestimated.

CONCLUSION

The results showed that mHealth and remote medical technologies can be used for chronic disease management among elderly people. However, these technologies have some strengths and weaknesses. In order to succeed in the development and implementation of these projects, it is essential to consider probable threats and weaknesses before implementing the applications.

An app for supporting older people receiving home care - usage, aspects of health and health literacy: a quasi-experimental study

Background

During the last decade, there has been an increase in studies describing use of mHealth, using smartphones with apps, in the healthcare system by a variety of populations. Despite this, few interventions including apps are targeting older people receiving home care. Developing mobile technology to its full potential of being interactive in real time remains a challenge. The current study is part of a larger project for identifying and managing health concerns via an app by using real-time data. The aim of the study was to describe older people’s usage of an app and to evaluate the impact of usage on aspects of health and health literacy over time.

Methods

A quasi-experimental design was employed. Seventeen older people self-reported health concerns via Interaktor twice a week for 3-months and answered questionnaires at baseline, the end of the intervention and at a 6–month follow-up. Logged data on app usage and data on Sense of Coherence, Health Index, Nutrition Form for the Elderly, Geriatric Depression Scale-20, Swedish Communicative and Critical Health Literacy and Swedish Functional Health Literacy were collected and analysed using descriptive and non-parametric inferential statistics.

Results

The median usage of the app as intended was 96%. Pain was one of the most reported health concerns and was also the health concern that triggered an alert (n = 33). The older people’s communicative and critical health literacy improved significantly over time. Regarding the scores of Sense of Coherence, Health Index, Nutritional Form for the Elderly, Geriatric Depression Scale-20 and Swedish Functional Health Literacy scale, there were no significant differences over time.

Conclusions

The high app usage showed that an app may be a suitable tool for some older people living alone and receiving home care. The results indicate that the usage of Interaktor can support older people by significantly improving their communicative and critical health literacy. Aspects of health were not shown to be affected by the usage of the app. Further research with larger sample is needed for evaluation the effect on health literacy, and which aspects of health of importance to support by an app.

Preliminary assessment of patient and physician satisfaction with the use of teleconsultation in urology during the COVID-19 pandemic

PURPOSE

Lockdown during the COVID-19 pandemic compelled urologists to change access to healthcare, especially for oncology patients. Teleconsultation is a safe way to receive medical advice without a risk of infection, and was implemented urgently in our academic centres. Our purpose was to evaluate patient and physician satisfaction with teleconsultation set up during the COVID-19 pandemic.

METHODS

From March 16th 2020, all face-to-face consultations were cancelled in France, except for emergencies. Teleconsultation was started immediately by five senior urologists in two academic hospitals. All patients received an email survey including the validated Teleconsultation Satisfaction Questionnaire (TSQ) and demographic questions. Data were collected prospectively. Physicians also responded to the TSQ. Patient satisfaction was measured objectively with the validated 14-item TSQ. Each item was scored on a 5-point Likert scale. Factors associated with positive satisfaction with teleconsultation were assessed by multivariable logistic regression.

RESULTS

Overall, 105 patients replied to the survey (91.3%). Median age was 66 years (IQR: 55‒71) and 95 were men (90.5%). Median overall TSQ score was 67 (IQR: 60‒69); teleconsultation was judged to be a good experience by 88 patients (83.8%) and four physicians (80%). Patients who met their surgeon for the first time were more likely to have a good experience (OR = 1.2 [95% CI 1.1‒1.5], p = 0.03).

CONCLUSION

Introduced rapidly during the COVID-19 lockdown, urology teleconsultation attained a high level of satisfaction among both patients and physicians. A major change in telemedicine use is foreseen in the post COVID-19 era.

Utilization Barriers and Medical Outcomes Commensurate With the Use of Telehealth Among Older Adults: Systematic Review

BACKGROUND

Rising telehealth capabilities and improving access to older adults can aid in improving health outcomes and quality of life indicators. Telehealth is not being used ubiquitously at present.

OBJECTIVE

This review aimed to identify the barriers that prevent ubiquitous use of telehealth and the ways in which telehealth improves health outcomes and quality of life indicators for older adults.

METHODS

This systematic review was conducted and reported in accordance with the Kruse protocol and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Reviewers queried the following four research databases: Cumulative Index of Nursing and Allied Health Literature (CINAHL), PubMed (MEDLINE), Web of Science, and Embase (Science Direct). Reviewers analyzed 57 articles, performed a narrative analysis to identify themes, and identified barriers and reports of health outcomes and quality of life indicators found in the literature.

RESULTS

Reviewers analyzed 57 studies across the following five interventions of telehealth: eHealth, mobile health (mHealth), telemonitoring, telecare (phone), and telehealth video calls, with a Cohen κ of 0.75. Reviewers identified 14 themes for barriers. The most common of which were technical literacy (25/144 occurrences, 17%), lack of desire (19/144 occurrences, 13%), and cost (11/144 occurrences, 8%). Reviewers identified 13 medical outcomes associated with telehealth interventions. The most common of which were decrease in psychological stress (21/118 occurrences, 18%), increase in autonomy (18/118 occurrences, 15%), and increase in cognitive ability (11/118 occurrences, 9%). Some articles did not report medical outcomes (18/57, 32%) and some did not report barriers (19/57, 33%).

CONCLUSIONS

The literature suggests that the elimination of barriers could increase the prevalence of telehealth use by older adults. By increasing use of telehealth, proximity to care is no longer an issue for access, and thereby care can reach populations with chronic conditions and mobility restrictions. Future research should be conducted on methods for personalizing telehealth in older adults before implementation.

TRIAL REGISTRATION

PROSPERO CRD42020182162; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020182162.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/15490.

Mobile applications for elderly healthcare: A systematic mapping

Context

The increase in the population aging has brought more significant concern about how proper care will be provided to the elderly in the future. Thus, the development of technological solutions for the health domain has gained more prominence. Joining this scenario to the growing use of mobile devices for daily activities, several mobile applications focused on the elderly healthcare have been developed with healthcare and software engineer professionals involved. However, there is no survey to help both professionals to take decisions on the target of application, elderly profile, empirical validation techniques, among others. Thus, the following question arises: how have mobile applications for elderly healthcare been addressed in the literature in the past years?

Objective

To identify the state of the art in the literature concerned with the development of mobile applications for elderly healthcare, considering healthcare and software Engineering viewpoints.

Method

We performed a systematic mapping conducted by health and software engineering researchers to provide an interdisciplinary investigation of the papers that address mobile applications for elderly healthcare, summarizing the data collected under the following classification: target of application, older adult profile, spatial-temporal distribution, techniques for empirical validation and type of software engineering research.

Results

We found a total of 2533 papers and, after applying our eligibility criteria, we got 149. We observed aspects related to the digital health initiative type, using the classification proposed by the World Health Organization (WHO), the elderly profile prioritized by the application, the spatial-temporal distribution of the studies, the empirical validation type, and the research contribution of each analyzed paper to the software engineering area.

Conclusions

Regarding the WHO classification, we noticed that two categories were more frequently found, Clients and Data Services, and that none of the mobile apps were classified in the Health System Manager category. The data extraction result also reveals that most of the applications found in the literature focused on the independent elderly. Moreover, we observed that most of the studies were proposals of solutions for elderly health and the validation process of these solutions generally consisted of controlled experiments and usability evaluations. At last, the research focused on mobile applications for elderly healthcare has been performed mostly by developed countries.

Using Mobile Health and the Impact on Health-Related Quality of Life: Perceptions of Older Adults with Cognitive Impairment

Digital health technologies such as mobile health (mHealth) are considered to have the potential to support the needs of older adults with cognitive impairment. However, the evidence for improving health with the use of mHealth applications is of limited quality. Few studies have reported on the consequences of technology use concerning the older adults’ quality of life. The purpose of this study was to describe perceptions of mHealth and its impact on health-related quality of life (HRQoL) among older adults with cognitive impairment. The study was conducted using a qualitative design with a phenomenographic approach. A total of 18 older participants with cognitive impairment were interviewed. The interviews were analyzed in order to apply phenomenography in a home-care context. The results showed variations in the older adults’ perceptions that were comprised within three categories of description; Require technology literacy, Maintain social interaction, and Facilitate independent living. In conclusion, the development and design of mHealth technologies need to be tailored based on older adults´ needs in order to be understood and perceived as useful in a home-care context. For mHealth to support HRQoL, healthcare should be provided in a way that encourages various forms of communication and interaction.

A Vendor-Independent Mobile Health Monitoring Platform for Digital Health Studies: Development and Usability Study

Background

Medical smartphone apps and mobile health devices are rapidly entering mainstream use because of the rising number of smartphone users. Consequently, a large amount of consumer-generated data is being collected. Technological advances in innovative sensory systems have enabled data connectivity and aggregation to become cornerstones in developing workable solutions for remote monitoring systems in clinical practice. However, few systems are currently available to handle such data, especially for clinical use.

Objective

The aim of this study was to develop and implement the digital health research platform for mobile health (DHARMA) that combines data saved in different formats from a variety of sources into a single integrated digital platform suitable for mobile remote monitoring studies.

Methods

DHARMA comprises a smartphone app, a Web-based platform, and custom middleware and has been developed to collect, store, process, and visualize data from different vendor-specific sensors. The middleware is a component-based system with independent building blocks for user authentication, study and patient administration, data handling, questionnaire management, patient files, and reporting.

Results

A prototype version of the research platform has been tested and deployed in multiple clinical studies. In this study, we used the platform for the follow-up of pregnant women at risk of developing pre-eclampsia. The patients’ blood pressure, weight, and activity were semi-automatically captured at home using different devices. DHARMA automatically collected and stored data from each source and enabled data processing for the end users in terms of study-specific parameters, thresholds, and visualization.

Conclusions

The increasing use of mobile health apps and connected medical devices is leading to a large amount of data for collection. There has been limited investment in handling and aggregating data from different sources for use in academic and clinical research focusing on remote monitoring studies. In this study, we created a modular mobile health research platform to collect and integrate data from a variety of third-party devices in several patient populations. The functionality of the platform was demonstrated in a real-life setting among women with high-risk pregnancies.

Writing a Systematic Review for Publication in a Health-Related Degree Program

BACKGROUND

The protocol in this manuscript was designed to help graduate students publish. It is the result of a challenge from our provost in 2013. I developed this protocol over the last 6 years and have exercised the protocol for the last 5 years. The current version of the protocol has remained mostly static for the last 2 years-only small changes have been made to the process.

OBJECTIVE

The objective of this protocol is to enable students to learn a valuable skill of conducting a systematic review and to write the review in a way that can be published. I have designed the protocol to fit into the schedule of a traditional semester, but also used it in compressed semesters.

METHODS

An image map was created in HTML 5.0 and imported into a learning management system. It augments traditional instruction by providing references to published articles, examples, and previously recorded instructional videos. Students use the image map outside the classroom after traditional instruction. The image map helps students create manuscripts that follow established practice and are reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), and whose authorship follows guidelines by the International Committee of Medical Journal Editors.

RESULTS

Since its inception, this protocol has helped 77 students publish 27 systematic reviews in nine journals worldwide. Some manuscripts take multiple years to progress through multiple review processes at multiple journals submitted in sequence. Two other professors in the School of Health Administration have used this protocol in their classes.

CONCLUSIONS

So far, this method has helped 51% of graduate students who used it in my graduate courses publish articles (with more manuscripts under consideration whose numbers have remained uncounted in this sum). I wish success to others who might use this protocol.

Mobile Health Interventions for Physical Activity, Sedentary Behavior, and Sleep in Adults Aged 50 Years and Older: A Systematic Literature Review

We provide a systematic review of interventions utilizing mobile technology to alter physical activity, sedentary behavior, and sleep among adults aged 50 years and older. A systematic search identified 52 relevant articles (randomized control trial [RCT], quasi-experimental, pre/post single-group design). Of 50 trials assessing physical activity, 17 out of 29 RCTs and 13 out of 21 trials assessed for pre/post changes only supported the effectiveness of mobile interventions to improve physical activity, and 9 studies (five out of 10 RCTs and all four pre/post studies) out of 14 reduced sedentary behavior. Only two of five interventions improved sleep (one out of two RCTs and one out of three pre/post studies). Text messaging was the most frequently used intervention (60% of all studies) but was usually used in combination with other components (79% of hybrid interventions included SMS, plus either web or app components). Although more high-quality RCTs are needed, there is evidence supporting the effectiveness of mHealth approaches in those aged 50 years and older.

Accuracy and Usability of a Novel Algorithm for Detection of Irregular Pulse Using a Smartwatch Among Older Adults: Observational Study

BACKGROUND

Atrial fibrillation (AF) is often paroxysmal and minimally symptomatic, hindering its diagnosis. Smartwatches may enhance AF care by facilitating long-term, noninvasive monitoring.

OBJECTIVE

This study aimed to examine the accuracy and usability of arrhythmia discrimination using a smartwatch.

METHODS

A total of 40 adults presenting to a cardiology clinic wore a smartwatch and Holter monitor and performed scripted movements to simulate activities of daily living (ADLs). Participants' clinical and sociodemographic characteristics were abstracted from medical records. Participants completed a questionnaire assessing different domains of the device's usability. Pulse recordings were analyzed blindly using a real-time realizable algorithm and compared with gold-standard Holter monitoring.

RESULTS

The average age of participants was 71 (SD 8) years; most participants had AF risk factors and 23% (9/39) were in AF. About half of the participants owned smartphones, but none owned smartwatches. Participants wore the smartwatch for 42 (SD 14) min while generating motion noise to simulate ADLs. The algorithm determined 53 of the 314 30-second noise-free pulse segments as consistent with AF. Compared with the gold standard, the algorithm demonstrated excellent sensitivity (98.2%), specificity (98.1%), and accuracy (98.1%) for identifying irregular pulse. Two-thirds of participants considered the smartwatch highly usable. Younger age and prior cardioversion were associated with greater overall comfort and comfort with data privacy with using a smartwatch for rhythm monitoring, respectively.

CONCLUSIONS

A real-time realizable algorithm analyzing smartwatch pulse recordings demonstrated high accuracy for identifying pulse irregularities among older participants. Despite advanced age, lack of smartwatch familiarity, and high burden of comorbidities, participants found the smartwatch to be highly acceptable.

Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey

BACKGROUND

Mobile health apps can help to change health-related behaviors and manage chronic conditions in patients with cardiovascular diseases (CVDs) and diabetes mellitus, but a certain level of health literacy and electronic health (eHealth) literacy may be needed.

OBJECTIVE

The aim of this study was to identify factors associated with mobile health app use in individuals with CVD or diabetes and detect relations with the perceived effectiveness of health apps among app users.

METHODS

The study used population-based Web-based survey (N=1500) among Germans, aged 35 years and older, with CVD, diabetes, or both. A total of 3 subgroups were examined: (1) Individuals with CVD (n=1325), (2) Individuals with diabetes (n=681), and (3) Individuals with CVD and diabetes (n=524). Sociodemographics, health behaviors, CVD, diabetes, health and eHealth literacy, characteristics of health app use, and characteristics of apps themselves were assessed by questionnaires. Linear and logistic regression models were applied.

RESULTS

Overall, patterns of factors associated with health app use were comparable in individuals with CVD or diabetes or both. Across subgroups, about every fourth patient reported using apps for health-related purposes, with physical activity and weight loss being the most prominent target behaviors. Health app users were younger, more likely to be female (except in those with CVD and diabetes combined), better educated, and reported more physical activity. App users had higher eHealth literacy than nonusers. Those users who perceived the app to have a greater effectiveness on their health behaviors tended to be more health and eHealth literate and rated the app to use more behavior change techniques (BCTs).

CONCLUSIONS

There are health- and literacy-related disparities in the access to health app use among patients with CVD, diabetes, or both, which are relevant to specific health care professionals such as endocrinologists, dieticians, cardiologists, or general practitioners. Apps containing more BCTs had a higher perceived effect on people's health, and app developers should take the complexity of needs into account. Furthermore, eHealth literacy appears to be a requirement to use health apps successfully, which should be considered in health education strategies to improve health in patients with CVD and diabetes.

Mobile Apps for Rheumatoid Arthritis: Opportunities and Challenges

Mobile applications have the potential to improve health outcomes in patients with rheumatoid arthritis (RA). Whereas other chronic diseases such as diabetes and heart failure have a well-established presence in the mobile application realm, apps focused on RA are still in their infancy. This article presents an overview of the types of mobile apps that can be used for RA and discusses the opportunities and challenges associated with them.

Older Adult Preferences of Mobile Application Functionality Supporting Medication Self-Management

Health systems and insurers alike are increasingly interested in leveraging mHealth (mobile health) tools to support patient health-related behaviors including medication adherence. However, these tools are not widely used by older patients. This study explores patient preferences for functionality in a smartphone application (app) that supports medication self-management among older adults with multiple chronic conditions. We conducted six discussion groups in Chicago, Miami, and Denver (N = 46). English-speaking older adults (55 and older) who owned smartphones and took five or more prescription medicines were invited to participate. Discussions covered familiarity with and use of current apps and challenges with taking multidrug regimens. Participants reviewed a range of possible mobile app functions and were asked to give feedback regarding the acceptability and desirability of each to support medication management. Very few participants (n = 3) reported current use of a mobile app for medication support, although all were receptive. Challenges to medication use were forgetfulness, fear of adverse events, and managing medication information from multiple sources. Desired features included (1) a list and consolidated schedule of medications, (2) identification and warning of unsafe medication interactions, (3) reminder alerts to take medicine, and (4) the ability record when medications were taken. Features relating to refill ordering, pharmacy information, and comparing costs for medication were not considered to be as important for an app.

Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study

Background

Most training programs for self-management of chronic diseases in Korea currently involve face-to-face interactions primarily in a health care setting. Therefore, older Koreans living in the community continue to seek other training opportunities for the management of chronic diseases. This has led to the development of new training methods, such as mobile health (mHealth) care, which are valuable in community centers and homes.

Objective

This feasibility study (1) developed an mHealth training protocol to empower community-dwelling elderly individuals to manage their chronic diseases; (2) examined the feasibility of delivering this mHealth training protocol to elderly individuals through mobile tablets and applications (apps); and (3) discussed the contextual and methodological challenges associated with the development of this protocol.

Methods

The mHealth training protocol was developed based on the eHealth Enhanced Chronic Care Model and comprised of four phases. Phase 1 included standardized technology (mobile tablets) training using guidebooks, demonstrations, and guided practice. Phase 2 included provision of standardized information about disease management that was obtained from governmental and professional health care organizations. Phase 3 included provision of training on the use of high-quality mHealth apps that were selected based on individual diagnoses. Phase 4 included encouraging the patients to practice using self-selected mHealth apps based on their individual needs. Quantitative descriptive statistics and qualitative content analyses of user evaluations were used to assess the feasibility and user acceptance of this protocol.

Results

Of the 27 older adults included in this study, 25 completed all 4 weeks of the mHealth training. The attrition rate was 7% (2/27), and the reasons included time conflicts, emotional distress, and/or family discouragement. The men required little or no training for Phase 1, and in comparison with men, women seemed to depend more on the mHealth trainers in Phase 3. Gender, level of education, and previous experience of using smartphones were associated with the speed of learning, level of confidence, and overall competence.

Conclusions

A tailored and personalized approach is required to develop mHealth training protocols for older adults. Self-management of chronic diseases via mHealth training requires careful consideration of the complex nature of human behavior, emotional responses, and familial influences. Therefore, integration of a theoretical, clinical, and technical approach is necessary for the successful development and implementation of an mHealth training program that targets older adults with chronic diseases in a community setting.

Telehealth and patient satisfaction: a systematic review and narrative analysis

BACKGROUND

The use of telehealth steadily increases as it has become a viable modality to patient care. Early adopters attempt to use telehealth to deliver high-quality care. Patient satisfaction is a key indicator of how well the telemedicine modality met patient expectations.

OBJECTIVE

The objective of this systematic review and narrative analysis is to explore the association of telehealth and patient satisfaction in regards to effectiveness and efficiency.

METHODS

Boolean expressions between keywords created a complex search string. Variations of this string were used in Cumulative Index of Nursing and Allied Health Literature and MEDLINE.

RESULTS

2193 articles were filtered and assessed for suitability (n=44). Factors relating to effectiveness and efficiency were identified using consensus. The factors listed most often were improved outcomes (20%), preferred modality (10%), ease of use (9%), low cost 8%), improved communication (8%) and decreased travel time (7%), which in total accounted for 61% of occurrences.

CONCLUSION

This review identified a variety of factors of association between telehealth and patient satisfaction. Knowledge of these factors could help implementers to match interventions as solutions to specific problems.