Dataset Information

Intention to Use mHealth in Older Adults With Heart Failure.

ABSTRACT: BACKGROUND:mHealth, or the use of mobile technology in healthcare, is becoming increasingly common. In heart failure (HF), mHealth has been associated with improved self-management and quality of life. However, it is known that older adults continue to lag behind their younger counterparts when it comes to mobile technology adoption. OBJECTIVE:The primary aim of this study was to examine factors that influence intention to use mHealth among older adults with HF. METHODS:An adapted Technology Acceptance Model was used to guide this cross-sectional, correlational study. Convenience sampling was used to identify participants from a large university hospital and online. RESULTS:A total of 129 older adults with HF participated in the study. Social influence (? = 0.17, P = .010), perceived ease of use (? = 0.16, P < .001), and perceived usefulness (? = 0.33, P < .001) were significantly associated with intention to use mHealth even after controlling for potential confounders (age, gender, race, education, income, and smartphone use). Perceived financial cost and eHealth literacy were not significantly associated with intention to use mHealth. CONCLUSIONS:Researchers should consider using the participatory approach in developing their interventions to ensure that their mHealth-based interventions will not only address the patient's HF self-management needs but also be easy enough to use even for those who are less technology savvy.

SUBMITTER: Cajita MI

PROVIDER: S-EPMC5573659 | biostudies-literature | 2017 Nov/Dec

REPOSITORIES: biostudies-literature

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Intention to Use mHealth in Older Adults With Heart Failure.

Cajita Maan Isabella MI Hodgson Nancy A NA Budhathoki Chakra C Han Hae-Ra HR

The Journal of cardiovascular nursing 20171101 6

<h4>Background</h4>mHealth, or the use of mobile technology in healthcare, is becoming increasingly common. In heart failure (HF), mHealth has been associated with improved self-management and quality of life. However, it is known that older adults continue to lag behind their younger counterparts when it comes to mobile technology adoption.<h4>Objective</h4>The primary aim of this study was to examine factors that influence intention to use mHealth among older adults with HF.<h4>Methods</h4>An ...[more]

PMID: 28248747

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Project description:BackgroundConsidering the increasing demand for health services by older people and the ongoing COVID-19 pandemic, digital health is commonly viewed to offer a pathway to provide safe and affordable health services for older adults, thus enabling self-management of their health while health care systems are struggling. However, several factors cause older people to be particularly reluctant to adopt digital health technologies such as mobile health (mHealth) tools. In addition to previously studied technology acceptance factors, those related to perceived risks of mHealth use (eg, leakage of sensitive information or receiving incorrect health recommendations) may further diminish mHealth adoption by older adults.ObjectiveThe aim of this study was to explore the relationship between perceived risks of using mHealth applications and the intention to use these applications among older adults.MethodsWe designed a cross-sectional study wherein a questionnaire was used to collect data from participants aged 65 years and older in the Netherlands. Perceived risk was divided into four constructs: privacy risk, performance risk, legal concern, and trust. Linear regression analyses were performed to determine the associations between these perceived risk constructs and the intention to use mHealth applications.ResultsLinear regression per perceived risk factor showed that each of the four constructs is significantly associated with the intention to use mobile medical applications among older adults (adjusted for age, sex, education, and health status). Performance risk (β=-.266; P=<.001), legal concern (β=-.125; P=.007), and privacy risk (β=-.100; P=.03) were found to be negatively correlated to intention to use mHealth applications, whereas trust (β=.352; P=<.001) was found to be positively correlated to the intention to use mHealth applications.ConclusionsPerformance risk, legal concern, and privacy risk as perceived by older adults may substantially and significantly decrease their intention to use mHealth applications. Trust may significantly and positively affect this intention. Health care professionals, designers of mHealth applications, and policy makers can use these findings to diminish performance risks, and tailor campaigns and applications to address legal and privacy concerns and promote mHealth uptake and health care access for older adults, especially during the COVID-19 pandemic.

Project description:BackgroundThe increasing health service demand driven by the aging of the global population calls for the development of modes of health service delivery that are less human resource-intensive. Electronic health (eHealth) and medical apps are expected to play an important role in this development. Although evidence shows mobile medical apps might be effective in improving the care, self-management, self-efficacy, health-related behavior, and medication adherence of older adults, little is known about older adults' intention to use these technologies when needed, or the factors influencing this intention.ObjectiveThe objective of this study was to investigate the relationship of technology acceptance factors and intention to use mobile medical apps among community-dwelling older adults.MethodsData was collected using questionnaires. The factors selected from the literature have been validated using Cronbach α and tested for significance using logistic regressions.ResultsAlmost half (49.7%) of the included older adults reported no intention to use medical apps. Adjusted logistic regression analysis per factor showed that the factors Attitude toward use (odds ratio [OR] 8.50), Perceived usefulness (OR 5.25), Perceived ease of use (OR 4.22), Service availability (OR 3.46), Sense of control (OR 3.40), Self-perceived effectiveness (OR 2.69), Facilities (OR 2.45), Personal innovativeness (OR 2.08), Social relationships (OR 1.79), Subjective norm (OR 1.48), and Feelings of anxiety (OR 0.62) significantly influenced the intention to use mobile medical apps among older adults, whereas the factor Finance (OR 0.98) did not. When considered together, a controlled multivariate logistic regression yielded high explained variances of 0.542 (Cox-Snell R2) and 0.728 (Nagelkerke R2).ConclusionsThe high odds ratios and explained variance indicate that the factors associated with the intention to use medical apps are largely understood and the most important factors have been identified. To advance the evidence base, experimental controlled research should investigate the causality between the factors, intention to use, and actual use. For this purpose, our evidence suggests that policies designed to improve Attitude toward use appear most effective, followed by policies addressing Perceived usefulness, Perceived ease of use, Service availability, and Sense of control.

Project description:BackgroundThe COVID-19 pandemic has become a global public health event, which has raised concerns regarding individuals' health. Individuals need to cope with the COVID-19 pandemic with guidelines on symptom recognition, home isolation, and maintain mental health. Besides routine use of mobile health (mHealth) such as accessing information to keep healthy, individuals can use mHealth services in situations requiring urgent medical care, which is defined as mHealth emergency use. It is not known whether individuals have increased their daily mHealth services emergency use as a result of disruptions caused by the COVID-19 pandemic.ObjectiveThe purpose of this diary analysis study is to assess the influences of daily disruptions related to the COVID-19 pandemic on individuals' mHealth emergency use. The secondary purpose of this study is to explore the mediating role of COVID-19-induced strain and the moderating role of promotion regulatory focus in the relationship between daily disruptions of COVID-19 and mHealth emergency use. Drawing from the cognitive activation theory of stress, we investigated the underlying mechanism and boundary condition of the influence of COVID-19-related disruptions on daily mHealth emergency use.MethodsTo test the proposed model, this study adopts the experience sampling method to collect daily data. The experience sampling method helps researchers to capture participants' fluctuations in emotions, mental engagement in an activity, and experienced stress. This study collected 550 cases nested in 110 samples in mainland China to test the conceptual model. In addition, we employed hierarchical linear modeling analysis to test the effect of COVID-19-related disruptions on mHealth emergency use.ResultsWe found that COVID-19-related disruptions increased COVID-19-induced strain (γ=0.24, P<.001) and mHealth emergency use on a daily basis (γ=0.28, P<.001). COVID-19-induced daily strain mediated this relationship (effect=0.09, 95% CI 0.05-0.14). Promotion regulatory focus moderated the relationship between COVID-19-induced strain and mHealth emergency use (γ=0.35, P=.02). In addition, the indirect relationship between disruptions and mHealth emergency use intentions through COVID-19-induced strain is contingent upon promotion regulatory focus: this relationship was stronger in those with high promotion regulatory focus (effect=0.12, 95% CI 0.06-0.19) than in those with low promotion regulatory focus (effect=0.06, 95% CI 0.02-0.11).ConclusionsEvent disruption of the COVID-19 pandemic induced mHealth emergency use intention through increased psychological strain. Furthermore, individuals' promotion regulatory focus amplified this indirect relationship. Our findings extend our understanding of the factors underlying mHealth emergency use intention and illustrate the potential contingent role of promotion regulatory focus in the cognitive activation theory of stress. This study also opens avenues for future research on mHealth emergency use intention in other countries and cultural settings.

Dataset Information

Intention to Use mHealth in Older Adults With Heart Failure.

Publications

Intention to Use mHealth in Older Adults With Heart Failure.

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