Gender differences regarding intention to use mHealth applications in the Dutch elderly population: a cross-sectional study

A multidimensional gender analysis of health technology self-efficacy among people with Parkinson's disease

BACKGROUND

Digital health technologies (DHT) enable self-tracking of bio-behavioral states and pharmacotherapy outcomes in various diseases. However, the role of gender, encompassing social roles, expectations, and relations, is often overlooked in their adoption and use. This study addresses this issue for persons with Parkinson's disease (PD), where DHT hold promise for remote evaluations.

METHODS

We conducted a cross-sectional survey study in the Netherlands, assessing the impact of gender identity, roles, and relations on health technology self-efficacy (HTSE) and attitude (HTA). An intersectional gender analysis was applied to explore how gender intersects with education, employment, disease duration, and severity in influencing HTSE and HTA.

RESULTS

Among 313 participants (40% women), no significant correlation was found between gender identity or relations and HTSE or HTA. However, individuals with an androgynous (non-binary) gender role orientation demonstrated better HTSE and HTA. The exploratory intersectional analysis suggested that sociodemographic and clinical factors might affect the influence of gender role orientations on HTSE and HTA, indicating complex and nuanced interactions.

CONCLUSION

This study highlights the importance of investigating gender as a multidimensional variable in PD research on health technology adoption and use. Considering gender as a behavioral construct, such as through gender roles and norms, shows more significant associations with HTSE and HTA, although effect sized were generally small. The impact of gender dimensions on these outcomes can be compounded by intersecting social and disease-specific factors. Future studies should consider multiple gender dimensions and intersecting factors to fully understand their combined effects on technology uptake and use among people with PD.

The Influence of Incentive-Based Mobile Fitness Apps on Users' Continuance Intention With Gender Moderation Effects: Quantitative and Qualitative Study

BACKGROUND

A survey conducted by McKinsey & Company reported that, as of May 2022, as many as 26% of Indonesians had recently started to engage actively in physical activity, 32% undertook regular physical activity, and 9% exercised intensely. The Fourth Industrial Revolution has spurred the rapid development of mobile fitness apps (MFAs) used to track people's sports activities. However, public interest in using these apps for any length of time is still relatively low.

OBJECTIVE

In this study, we aimed to determine the effect of incentives (eg, self-monitoring, social support, platform rewards, and external influence) on the use of MFAs and the moderating effect of gender on users' continuance usage intention.

METHODS

The study used a mixed methods approach. Quantitative data were collected through a web-based questionnaire and qualitative data from interviews with 30 respondents. The quantitative data, collected from 379 valid responses, were processed using covariance-based structural equation modeling. The qualitative data were processed using thematic analysis. The MFAs included in this research were those used as sports or physical activity trackers, such as Apple Fitness, Strava, Nike Run Club, and Fita.

RESULTS

The results of the data analysis show that 3 groups of incentives, namely, self-monitoring, platform rewards, and external influence (with the exception of social support), affect the perceived usefulness of these apps. Gender was also shown to moderate user behavior in relation to physical activity. The study showed that women were more likely to be motivated to exercise by social and external factors, while men paid greater attention to the tracking features of the app and to challenges and rewards.

CONCLUSIONS

This research contributes to the field of health promotion by providing guidance for MFA developers.

Factors influencing participation in an online national diabetes prevention programme: A qualitative study with attenders and educators

AIM

To explore factors affecting participation in the pilot of the synchronous online national diabetes prevention programme (NDPP) in Ireland from the perspectives of those who attended and the educators who recruited for and delivered the programme.

METHODS

A qualitative study involving semi-structured interviews and focus groups with NDPP attenders (attended the assessment and at least one session) and educators (dietitians) on the programme. The Framework Method using the Theoretical Domains Framework (TDF) guided the analysis.

RESULTS

Thirteen attenders took part in two online focus groups and five online or phone interviews. Eight educators took part. Four themes which cut across the TDF domains were identified as factors influencing participation; (i) lack of awareness of prediabetes and fear of diabetes, relating to attenders' fear of diabetes and lack of knowledge of prediabetes and diabetes prevention; (ii) perceived need for programme support to change health behaviour, concerning attenders' and educators' recognition of the need for the NDPP; (iii) trust in healthcare professionals (HCPs), relating to trust in HCPs to convey the seriousness of prediabetes and the value of diabetes prevention programmes (DPPs) and (iv) practical and personal ease of joining online, relating to the flexibility and accessibility of the synchronous online group format, the IT skills of attenders and educators and apprehension about group education.

CONCLUSIONS

Raising awareness of prediabetes and the need for prevention programmes should be a priority for health services and HCPs. The synchronous online group format was seen as less daunting to join than a face-to-face programme and may be a useful option to encourage participation.

User Friendliness and Perioperative Guidance Benefits of a Cataract Surgery Education App: Randomized Controlled Trial

BACKGROUND

Cataract surgeries are among the most performed surgeries worldwide. A thorough patient education is essential to inform patients about the perioperative process and postoperative target results concerning the intraocular lens and objectives for visual outcomes. However, addressing all relevant aspects and questions is time-consuming. Mobile apps can facilitate this process for both patients and physicians and thus be beneficial. However, the success of such an app depends on its user friendliness and acceptance by patients.

OBJECTIVE

This study aimed to evaluate the user friendliness and acceptance of a cataract surgery education app on mobile devices among patients undergoing cataract surgery, the characteristics of patients who benefit the most from app use, and the influence of the app on patient satisfaction with treatment.

METHODS

All patients who underwent cataract surgery at an ophthalmological practice from August 2020 to July 2021 were invited to participate in this randomized controlled trial. Out of 493 invited patients, 297 (60.2%) were enrolled in this study. Patients were randomized into 3 different groups. Half of the patients were offered to participate in Group 1 with use of the "Patient Journey" app. However, if they decided not to use the app, they were included in Group 2 (app denial). The other half of the patients were included in Group 3 (control) with no use of the app and with information provided conventionally. The app provided general information on the ophthalmological center, surgeons, cataract, and treatment options. Different questionnaires were used in all 3 groups to evaluate satisfaction with the perioperative process. Group 1 evaluated the app. Demographic characteristics, such as age, gender, and educational degree, were assessed.

RESULTS

Group 1 included 77 patients (median age 69 years). Group 2 included 61 patients, and their median age was higher (median age 79 years). Group 3 included 159 patients (median age 74 years). There was no difference in satisfaction with the perioperative process and clinic between the 3 groups. Almost all app users appreciated the digital details provided for the organization and the information on the surgery. Age did not play a major role in appreciation of the app. Female patients tended to appreciate the information provided more than male patients. Patients who did not have a higher university degree experienced more benefits from the informational content of the app and were the most satisfied with the information. However, male patients and academics were in general more aware of technology and handled the app more easily.

CONCLUSIONS

The app showed high user friendliness and acceptance, and could particularly benefit specific patient groups. App users demonstrated a noninferior high satisfaction with the treatment in the ophthalmological center in comparison with patients who were informed about the surgery only conventionally.

Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study

BACKGROUND

Numerous studies have suggested that the relationship between cardiovascular disease (CVD) risk and the usage of mobile health (mHealth) technology may vary depending on the total number of CVD risk factors present. However, whether higher CVD risk is associated with a greater likelihood of engaging in specific mHealth use among US adults is currently unknown.

OBJECTIVE

We aim to assess the associations between the composite CVD risk and each component of mHealth use among US adults regardless of whether they have a history of CVD or not.

METHODS

This study used cross-sectional data from the 2017 to 2020 Health Information National Trends Survey. The exposure was CVD risk (diabetes, hypertension, smoking, physical inactivity, and overweight or obesity). We defined low, moderate, and high CVD risk as having 0-1, 2-3, and 4-5 CVD risk factors, respectively. The outcome variables of interest were each component of mHealth use, including using mHealth to make health decisions, track health progress, share health information, and discuss health decisions with health providers. We used multivariable logistic regression models to examine the association between CVD risk and mHealth use adjusted for demographic factors.

RESULTS

We included 10,531 adults, with a mean age of 54 (SD 16.2) years. Among the included participants, 50.2% were men, 65.4% were non-Hispanic White, 41.9% used mHealth to make health decisions, 50.8% used mHealth to track health progress toward a health-related goal, 18.3% used mHealth to share health information with health providers, and 37.7% used mHealth to discuss health decisions with health providers (all are weighted percentages). Adults with moderate CVD risk were more likely to use mHealth to share health information with health providers (adjusted odds ratio 1.49, 95% CI 1.24-1.80) and discuss health decisions with health providers (1.22, 95% CI 1.04-1.44) compared to those with low CVD risk. Similarly, having high CVD risk was associated with higher odds of using mHealth to share health information with health providers (2.61, 95% CI 1.93-3.54) and discuss health decisions with health providers (1.56, 95% CI 1.17-2.10) compared to those with low CVD risk. Upon stratifying by age and gender, we observed age and gender disparities in the relationship between CVD risk and the usage of mHealth to discuss health decisions with health providers.

CONCLUSIONS

Adults with a greater number of CVD risk factors were more likely to use mHealth to share health information with health providers and discuss health decisions with health providers. These findings suggest a promising avenue for enhancing health care communication and advancing both primary and secondary prevention efforts related to managing CVD risk factors through the effective usage of mHealth technology.

Factors, Barriers, and Recommendations Related to Mobile Health Acceptance among the Elderly in Saudi Arabia: A Qualitative Study

The use of mobile health (mHealth) is providing value to the elderly, but their acceptance of it is lower than in other age groups. Thus, this study aims to explore the factors influencing their intention to use mHealth and identify barriers and suggested solutions among elderly people aged 50+ years in Saudi Arabia, guided by the Healthcare Technology Acceptance Model (H-TAM). In this qualitative study, 14 elderly people (six females and eight males) were recruited. Participants were included if they were Saudi, aged 50+ years, and used smartphones. Participants were engaged in semi-structured interviews, which were transcribed verbatim and thematically analyzed. Peer review was conducted and saturation was reached to maintain rigor. Three major themes emerged: (1) factors affecting intention to use, (2) concerns and barriers, and (3) solutions and recommendations. Influenced factors were identified as perceived usefulness, perceived need, perceived ease of use, perceived benefits, familiarity, trust in technology, advice acceptance, facilitating conditions (family support), and compatibility. Older participants, particularly those with lower educational attainment, displayed less familiarity with mHealth. Lack of digital literacy, health and aging issues, worry about making mistakes, and social issues emerged as central barriers. Addressing these factors in the design and promotion of mHealth can enhance its successful adoption among the elderly.

Personalization in digital health interventions for older adults with cancer: A scoping review

INTRODUCTION

Digital health interventions (DHIs) are promising to support older adults with cancer in managing their conditions and improving their health outcomes. However, there is a lack of overall understanding of various DHIs for the aging population with cancer. Specifically, it is unclear how personalization components are included in those DHIs to promote engagement in the interventions among older adults with cancer. This study aimed to provide a comprehensive overview of existing DHIs for older adults with cancer and identify the intervention components, especially personalized features, and effectiveness of these DHIs for improving self-management and psychosocial health.

MATERIALS AND METHODS

A scoping review was conducted following Joanna Briggs Institute guidelines, focusing on older adults diagnosed with cancer who participated in DHIs to improve self-management and psychosocial health. Studies using an experimental design and published from 2000 to January 2023 were retrieved from four databases: PubMed, Embase, CINAHL, and Scopus. After primary data extraction of study characteristics, participants, interventions, and outcomes, DHIs were categorized according to personalized features.

RESULTS

Out of 9,750 articles, 20 were eligible for this scoping review. The main personalized features of DHIs were categorized into four domains: goal setting, adjusting the plan, data-driven approaches, and motivating behavioral changes. Self-management outcomes were focused on physical activity, diet, and symptom management. Quality of life, depression, and anxiety were addressed as psychosocial health-related outcomes. Although no consistent results were reported on the effectiveness, DHIs with a combination of multiple personalized features, more than three domains, were likely to be more effective in improving self-management outcomes.

DISCUSSION

This review enhances the understanding of personalized DHIs for older adults with cancer by identifying intervention components, personalized features, and effectiveness on self-management and psychosocial health. Several gaps were identified, including the absence of targeted studies exclusively focusing on older adults, a relative scarcity of personalized features for improving patient engagement, a lack of understanding of the mechanism of effective personalized features, and the necessity for more experimental studies. Addressing these gaps can contribute to improving health outcomes and the quality of care for older adults with cancer by providing the direction for developing effective DHIs.

Smartphone-Based Passive Sensing in Monitoring Patients With Cancer: A Systematic Review

PURPOSE

Patients with cancer are prone to frequent unplanned hospital visits because of disease or treatment complications. Smartphone-based passive sensing (SBPS) comprises data collection using smartphone sensors or device usage patterns, which may be an affordable and burdenless technique for remote monitoring of patients with cancer and timely detection of safety events. The aim of this article was to systematically review the published literature to identify the current state of SBPS in oncology care and research.

METHODS

A literature search was done with cutoff date July 29, 2022, using six different databases. Articles were included if they reported original studies using SBPS in patients with cancer or cancer survivors. Data extracted from studies included type of sensors used, cancer type, study objectives, and main findings.

RESULTS

Twelve studies were included, the oldest report being from 2017. The most frequent of the nine analyzed sensors and smartphone analytics was the accelerometer (eight studies) and geolocation (eight studies), followed by call logs (two studies). Breast cancer was the most studied cancer type (eight studies with 111 patients), followed by GI cancers (six studies with 133 patients). All studies aiming for feasibility concluded that SBPS in oncology was feasible (seven studies). SBPS was used as a monitoring tool, with passively sensed data being correlated with adverse events, symptom burden, cancer-related fatigue, decision conflict, recovery trends after surgery, or psychosocial impact. SBPS was also used in one study as a predictive tool for health deterioration.

CONCLUSION

SBPS shows early promise in oncology, although it cannot yet replace traditional tools to monitor quality of life and clinical outcomes. For this, validation of SBPS will be required. Therefore, further research is warranted with this developing technique.

Patients' Individualized Care Perceptions and Health Literacy Using an Interactive App During Breast and Prostate Cancer Treatment: Two Parallel Randomized Controlled Trials

The use of symptom management mobile apps can reduce patients' symptom burden during cancer treatment, but the evidence is lacking about their effect on care. Moreover, if patients' health literacy can be improved, it needs to be more rigorously tested. This study aimed to evaluate patients' perceptions of individualized care and health literacy using an interactive app in two randomized trials. Patients undergoing neoadjuvant chemotherapy for breast cancer (N = 149) and radiotherapy for prostate cancer (N = 150) were consecutively included and randomized into one intervention or control group. Outcome measures were Individualized Care Scale, Swedish Functional Health Literacy Scale, and Swedish Communicative and Critical Health Literacy Scale. In the breast cancer trial, no group differences were observed regarding individualized care or health literacy. Most patients had sufficient health literacy levels. In the prostate cancer trial, intervention group patients rated higher perceived individualized care regarding decision control at follow-up than the control group. Less than half had sufficient health literacy levels and intervention group patients significantly improved their ability to seek, understand, and communicate health information. Education level explained significant variance in health literacy in both trials. Using an interactive app can positively affect individualization in care and health literacy skills among patients treated for prostate cancer, although further research is warranted.

The intention to use mHealth applications among Dutch older adults prior and during the COVID pandemic

Background

Mobile health (mHealth) applications are widely valued for their potential to increase self-management among older adults and reduce their healthcare demands. However, the intention to use mHealth of Dutch older adults before the COVID-19 pandemic was modest. Healthcare access was considerably reduced during the pandemic and mHealth services substituted for in person health services. As older adults utilize health services more frequently and have been particularly vulnerable to the pandemic, they can be viewed to have especially benefitted from the transition toward mHealth services. Furthermore, one might expect their intention to use these services and reap the potential benefits has increased, especially during the pandemic.

Objective

The aim of this study was to examine whether the intention of Dutch older adults to use medical applications increased during the COVID pandemic and how the explanatory power of the extended Technology Acceptance Model (TAM) developed for this purpose was affected by the onset of the pandemic.

Methods

We conducted a cross-sectional survey using two samples collected before (n = 315) and after (n = 501) the onset of the pandemic. Data was collected using questionnaires which were distributed digitally and on paper, by convenience sampling and snowballing. Participants were 65 years or older, lived independently or in a senior living facility, without cognitive impairment. A controlled analysis was performed to test for significant differences in the intention to use mHealth. The before and after differences in extended TAM variables and their relationship with intention to use (ITU) were analyzed using controlled (multivariate) logistic and linear regression models. These models were also used to explore whether the onset of the pandemic had an effect on ITU not captured by the extended TAM model.

Results

While the two samples differed in ITU (p = 0.017; uncontrolled) there was no statistically significant difference in ITU in the controlled logistic regression analysis (p = 0.107). The scores of the extended TAM variables explaining intention to use were all significantly higher, except for Subjective norm and Feelings of Anxiety. The relationships of these variables with intention to use before and after the onset of the pandemic were similar, except for Social relationships which lost its significance. We found no indications of effects of the pandemic on intention to use not captured by our instrument.

Conclusion

The intention to use mHealth applications of Dutch older adults has not changed since the onset of the pandemic. The extended TAM model has robustly explained intention to use, with only minor differences after the first months of the pandemic. Interventions targeting facilitation and support are likely to promote the uptake of mHealth. Follow-up studies are needed to investigate whether the pandemic has had long term effects on the ITU of the older adult.

Older Adults and New Technology: Mapping Review of the Factors Associated With Older Adults' Intention to Adopt Digital Technologies

BACKGROUND

Ongoing advancements in digital solutions support older adults' healthy aging and well-being. However, a unified synthesis of sociodemographic, cognitive, attitudinal, emotional, and environmental factors that influence older adults' intention to use these new digital technologies is still lacking. Understanding the salient factors that influence older adults' intention to use digital technologies will help to ensure that technology is developed appropriately and contextually. This understanding is also likely to contribute to developing technology acceptance models specifically for the aging generation, by reorganizing principles and constructing objectivity criteria for future research studies.

OBJECTIVE

This review aims to identify the key factors associated with older adults' intention to use digital technologies and to provide a comprehensive conceptual framework to describe the relationships between these key factors and older adults' intention to use digital technologies.

METHODS

A mapping review was conducted using 9 databases from inception to November 2022. Articles were selected for review if they had an evaluative component of older adults' intention to use digital technologies. Three researchers independently reviewed the articles and extracted the data. Data synthesis was performed via narrative review and quality appraisal was measured using 3 different tools based on each article's study design.

RESULTS

We identified a total of 59 articles investigating older adults' intention to use digital technologies. The majority (40/59, 68%) of articles did not use an existing framework or model for technology acceptance. Studies mostly adopted a quantitative research design (27/59, 46%). We found 119 unique factors reported to influence older adults' intention to use digital technologies. These were categorized into 6 distinct themes: Demographics and Health Status, Emotional Awareness and Needs, Knowledge and Perception, Motivation, Social Influencers, and Technology Functional Features.

CONCLUSIONS

Given the importance of global demographic change toward an aging society, there is surprisingly limited research on the factors that influence older adults' intention to use digital technologies. Our identification of the key factors across different types of digital technology and models supports the future integration of a comprehensive perspective encompassing environmental, psychological, and social determinants for older adults' intention to use digital technologies.

The Technology Acceptance Model and Older Adults' Exercise Intentions-A Systematic Literature Review

Aging is a global phenomenon, and the use of exercise technology by older adults can help them to prevent disease, achieve good health, and ultimately achieve successful aging. In the past, there literature compilation studies have been conducted on sports technology and young people or on the use of technology by the older adults; however, no studies have determined the attitudes of older adults toward sports technology. This review applied a systematic literature analysis to determine the factors that correlate the technology acceptance model with the older population's exercise attitudes. A total of 10 studies were identified as contributing to the use of exercise technology by older adults. The main findings of this review are that, of the 28 factors identified in the 10 studies, only 18 were identified as factors influencing older adults' use of sports technology in the technology acceptance model (TAM). Among these, fifteen factors affected intention, four factors affected perceived ease of use, three factors affected perceived usefulness, and two factors affected attitudes. Finally, discussing the related factors affecting TAM allows us to provide suggestions for future research directions.