The Role of Mobile Health in Elderly Populations

Gilbert, Barnabas J; Goodman, Elaine; Chadda, Anshuman; Hatfield, Daniel P.; Forman, Daniel E.; Panch, Trishan

doi:10.1007/s13670-015-0145-6

Cited by 26 publications

(26 citation statements)

References 31 publications

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“…After developing a new mobile app, it is essential to invest time in training tools, in-person training, user manuals, and support hotlines regarding the use of mobile app, as many older adults want to receive technical and social support for the installation, exploration, and learning of a mobile app [ 16 , 74 , 93 - 95 ]. Only making mobile apps available in the app stores will fail to optimize their use by older adults [ 96 ].…”

Section: Discussionmentioning

confidence: 99%

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

Portenhauser¹,

Terhorst²,

Schultchen³

et al. 2021

JMIR Aging

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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.

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Section: Discussionmentioning

confidence: 99%

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

Portenhauser¹,

Terhorst²,

Schultchen³

et al. 2021

JMIR Aging

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“…The rapid growth of these apps occurs in the context of aging population. The mHealth advances align well with the growing interest of older adults to integrate technology in the self-management of chronic conditions (Gilbert et al, 2015; Kim and Lee, 2017).…”

Section: Introductionmentioning

confidence: 77%

Development of a Complex Intervention to Improve Adherence to Antidiabetic Medication in Older People Using an Anthropomorphic Virtual Assistant Software

et al. 2019

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Introduction: Improving adherence to antidiabetic medication is crucial, resulting in improved health outcomes, cost reduction, and minimization of waste. A lack of underlying theory in existing interventions may explain the limited success in sustaining behavior change. This paper describes the development of a theory and evidence-based complex intervention to improve adherence to oral antidiabetics in older people via a software prototype with an anthropomorphic virtual assistant. Methods: The Behavior Change Wheel (BCW) was used to develop a theoretical understanding of the change process, corresponding to the first phase of the Medical Research Council Framework for developing and evaluating complex interventions. At the BCW core is a model of human behavior (COM-B), which posits that human behavior (B) results from the interaction between capabilities (C), opportunities (O), and motivation (M). Literature-derived medication adherence determinants were mapped onto COM-B components. Then, intervention functions (IFs) were selected employing the APEASE criteria. Finally, standardized behavior change techniques (BCTs) were chosen based on their suitability and their effectiveness on medication adherence trials. The prototype was developed for android devices; its core was implemented in Unity3D, using a female 3D virtual assistant, named Vitória. Results: Two COM-B components were identified as main targets for behavior change—psychological capability and reflective motivation; these were linked with four IFs—education, persuasion, enablement, and environmental restructuring. Eleven BCTs were, in turn, linked with the IFs. An example of a BCT is “problem solving”; it requires users to pinpoint factors influencing non-adherence and subsequently offers strategies to achieve the desired behavior. BCTs were operationalized into the dialogues with Vitória and into supplementary software features. Vitória communicates with users verbally and non-verbally, expressing emotions. Input options consist of buttons or recording values, such as medication taken. Conclusion: The present approach enabled us to derive the most appropriate BCTs for our intervention. The use of an explicit bundle of BCTs, often overlooked in interventions promoting medication adherence, is expected to maximize effectiveness and facilitates replication. The first prototype is being refined with users and health professionals’ contributions. Future work includes subjecting the prototype to usability tests and a feasibility trial.

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“…Some of the challenges and opportunities posed by the use of various forms of mobile health in elderly self-care had been addressed in a narrative or systematic review study [ Table 1 ]. [ 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 ] Different studies had addressed the challenges and opportunities of different forms of mobile health, such as telemedicine, teleconsultation, smart home, internet-based technologies, service robots using, personal digital assistants, and telehealth at home. Numerous challenges and opportunities related to the use of mobile health care provided to the elderly have been addressed in this study and a comprehensive classification of them was prepared.…”

Section: Resultsmentioning

confidence: 99%

“…considered the underutilization of the smartphones and internet by elderly population, and the inadequacy of older-age health-related applications from the challenges facing the use of mobile health in elderly self-care. [ 25 ] Hunting et al . in addition to the challenges identified in previous studies provide access the use of technology and structural barriers to patient participation related to geographic and social contexts.…”

Section: Resultsmentioning

confidence: 99%

The opportunities and challenges of using mobile health in elderly self-care

Shahbazi

Bagherian

Sattari

et al. 2021

Journal of Education and Health Promotion

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Population aging is a phenomenon expanding around the world and will be increase the incidence of chronic diseases and health costs. This study was conducted according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA). A comprehensive literature search was performed on 4 databases (Web of Science, PubMed, Science Direct, and ProQuest) for English language studies from January 1, 2000, to December 31, 2019. The keywords used to extract relevant contents were “e-health,” “Elderly care,” “Self-care,” “challenge,” “Opportunity” etc., The search strategy led to a total of 638 potentially relevant papers, of which 19 papers met the inclusion criteria. The results showed that the challenges of using mobile health in elderly self-care can be divided into technical, human and managerial challenges. The resulting opportunities include reducing health care costs; no need to visit verbal and remote access to elderly information. The use of mobile health in the elderly has advantages and disadvantages. One of the advantages of that is improving physical activity and reducing care costs, but it may break the privacy. The disadvantages of that can be resolved by educating the elder men.

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The Role of Mobile Health in Elderly Populations

Cited by 26 publications

References 31 publications

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

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

Development of a Complex Intervention to Improve Adherence to Antidiabetic Medication in Older People Using an Anthropomorphic Virtual Assistant Software

The opportunities and challenges of using mobile health in elderly self-care

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