Technology for Remote Health Monitoring in an Older Population: A Role for Mobile Devices

Dupuis, Kate; Tsotsos, Lia

doi:10.3390/mti2030043

Cited by 13 publications

(16 citation statements)

References 24 publications

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Section: Model Developmentmentioning

confidence: 56%

“…We suspected that such a dominant proportion of young participants was because many participants are in the “controls” without being diagnosed with PD. As shown in prior research (Dupuis and Tsotsos, 2018), the elderly tend to be more resistant to mHealth technology. Gender : Among the 6,805 participants, there were more males (5,314) than females (1,461). This was consistent with the epidemiological observations of a lower incidence and higher age at onset of the disease in women (Haaxma et al , 2007).…”

Section: Model Developmentmentioning

confidence: 60%

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Improving mobile health apps usage: a quantitative study on mPower data of Parkinson's disease

Chang

2020

ITP

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PurposeThe emergence of mobile health (mHealth) products has created a capability of monitoring and managing the health of patients with chronic diseases. These mHealth technologies would not be beneficial unless they are adopted and used by their target users. This study identifies key factors affecting the usage of mHealth apps based on user usage data collected from an mHealth app.Design/methodology/approachUsing a dataset collected from an mHealth app named mPower, developed for patients with Parkinson's disease (PD), this paper investigated the effects of disease diagnosis, disease progression and mHealth app difficulty level on app usage, while controlling for user information. App usage is measured by five different activity counts of the app.FindingsThe results across five measures of mHealth app usage vary slightly. On average, previous professional diagnosis and high user performance scores encourage user participation and engagement, while disease progression hinders app usage.Research limitations/implicationsThe findings potentially provide insights into better design and promotion of mHealth products and improve the capability of health management of patients with chronic diseases.Originality/valueStudies on the mHealth app usage are critical but sparse because large-scale and reliable mHealth app usage data are limited. Unlike earlier works based solely on survey data, this research used a large user usage data collected from an mHealth app to study key factors affecting app usage. The methods presented in this study can serve as a pioneering work for the design and promotion of mHealth technologies.

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Section: Model Developmentmentioning

confidence: 56%

Section: Model Developmentmentioning

confidence: 60%

Improving mobile health apps usage: a quantitative study on mPower data of Parkinson's disease

Chang

2020

ITP

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“…Mobile and internet technologies such as mobile apps offer possible approaches to increase the empowerment of older adults, support social activities, prevent cognitive and physical decline, decrease loneliness, and provide assistance in everyday activities [ 7 - 12 ]. Mobile apps could be innovative solutions to help older adults maintain independence and enable them to promote their health and functioning [ 8 , 9 , 13 , 14 ].…”

Section: Introductionmentioning

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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“…The range of elder-targeted technology is diverse. They include tele-communication systems (15), health monitoring devices (16), social and assistive robots (17,18) and 'smart home' systems (19)(20)(21). However, the implementation of these technological solutions has been met with resistance and underuse (22).…”

Section: Introductionmentioning

confidence: 99%

Co-designing technology for ageing in place: A systematic review

Sumner¹,

Chong²,

Bundele³

et al. 2019

Preprint

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KEYWORDSco-design, user centered design, ageing in place, elderly, older adults 2 Abstract Background: Co-design in healthcare has become mainstream. Co-design with end-users can improve patient satisfaction, outcomes and reduce the cost of care. As populations age, there is a growing interest to involve the elderly in the co-design of health technology to maintain their well-being and independence. However, it is less clear if co-designed technology improves health and well-being outcomes. The aim of this study is to evaluate co-designed technology that supports elders to age in place.Methods: We conducted a systematic review to: i) investigate the health and well-being outcomes of co-designed technology for elders (≥ 60 years); ii) to identify co-design approaches and contexts where they are applied and; iii) to identify barriers and facilitators of the co-design process with elders. Searches were conducted in MEDLINE, EMBASE, CINAHL, Science Citation Index (Web of Science), Scopus, OpenGrey and Business Source Premiere databases using MeSH terms and key words. Results: We identified 14,649 articles of which 34 studies were included. Studies were from Europe (n=28), Australia (n=4), America (n=1) and Canada (n=1). Twenty of the 32 studies targeted older adults (≥ 60 years old) and 14 targeted specific medical conditions or elder-related issues. Technological solutions included robots, online applications and software, smart televisions, computer games for exercise, global positioning solutions, smart home systems and design of care pathways.Five studies reported health and well-being outcomes and were extracted. The health and well-being impact of co-designed technology was inconsistent. Co-design processes varied greatly and in their intensity of elder involvement. Common facilitators of and barriers to the co-design process included the building of relationships between stakeholders, stakeholder knowledge of problems and solutions, as well as expertise in the co-design methodology.Conclusions: The co-design approach was applied in the design of a diverse set of technologies. The effect of co-designed technology on health and well-being was rarely studied and it was difficult to ascertain its impact. Future co-design efforts need to address barriers unique to the elderly population. More evaluation of the impact of co-designed technologies' is needed and standardisation

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Technology for Remote Health Monitoring in an Older Population: A Role for Mobile Devices

Cited by 13 publications

References 24 publications

Improving mobile health apps usage: a quantitative study on mPower data of Parkinson's disease

Improving mobile health apps usage: a quantitative study on mPower data of Parkinson's disease

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

Co-designing technology for ageing in place: A systematic review

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