The role of M-health applications in the fight against Alzheimer’s: current and future directions

Elfaki, Abdelrahman Osman; Alotaibi, Mohammed

doi:10.21037/mhealth.2018.07.03

Cited by 22 publications

(11 citation statements)

References 17 publications

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“…Mobile health applications (apps) are rapidly proliferating and are widely used around the world to access health information 2 . In 2018, more than 50% of people worldwide had at least one mobile health app on their device 3 .…”

Section: Introductionmentioning

confidence: 99%

Consumer perspectives on reproductive health after using the Jakpros smart mobile health application: A cross-sectional, qualitative study

et al. 2019

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Background: Good reproductive health is important for individuals and also for the development of children. Knowledge plays an important role in women’s reproduction health. Our study examined women’s perspectives and knowledge of reproductive health after using the free Jakarta Reproduction Sehat (Jakpros) application (app) on a daily basis for two weeks. Methods: Our study used a cross-sectional, qualitative design. The sample consisted of 12 participants from two sub-district general hospitals in Jakarta. Participants were chosen using purposive sampling and consisted of women of reproductive age who had completed previous questionnaires on their use of Jakpros. We used descriptive analytics and a qualitative method. Data were collected by direct observation in small focus group discussions. Results: Participants said that after they used the Jakpros app, they were more aware of their reproductive health. Their knowledge increased after counselling combined with Jakpros usage. They also said that the features in the app made it easier to contact their doctor and to access their nearest hospital. Conclusion: Jakpros is a convenient way to access reliable reproductive health information.

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Section: Introductionmentioning

confidence: 99%

Consumer perspectives on reproductive health after using the Jakpros smart mobile health application: A cross-sectional, qualitative study

et al. 2019

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“…In addition, the tremendous function of these technologies provides opportunities for older adults to safely and effectively perform activities of daily living, as well as instrumental activities of daily living. For instance, smart-home sensors embedded in walls, ceilings, beds, and floors can detect motion, gait, and fall risk and can help prevent injures [10]; mobile apps can track an older adult’s location, sending a signal to their own or their children’s smartphone app [11,12]. Digital memory aids can help the elderly remember chores or errands and remind them to pay bills [13].…”

Section: Introductionmentioning

confidence: 99%

Mobile and Connected Health Technology Needs for Older Adults Aging in Place: Cross-Sectional Survey Study

Wang

Coleman

et al. 2019

JMIR Aging

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Background An increasing number of mobile and wearable devices are available in the market. However, the extent to which these devices can be used to assist older adults to age in place remains unclear. Objective This study aimed to assess older adults’ perceptions of using mobile and connected health technologies. Methods Using a cross-sectional design, a total of 51 participants were recruited from a senior community center. Demographics and usage of mobile or wearable devices and online health communities were collected using a survey questionnaire. Descriptive statistics assessed usage of devices and online health communities. The Fisher exact test was used to examine the relationship between technology usage and having access to a smartphone. Results The sample was primarily comprised non-Hispanic white (35/51, 69%), educated (39/51, 76% any college), and female (36/51, 71%) participants, with an average age of 70 (SD 8) years. All participants were insured and nearly all lived at home (49/51, 94%). A total of 86% (44/51) of the participants had heard of wearable health devices, but only 18 out of 51 (35%) had ever used them. Over 80% (42/51) expressed interest in using such devices and were interested in tracking exercise and physical activity (46/51, 90%), sleep (38/51, 75%), blood pressure (34/51, 67%), diet (31/51, 61%), blood sugar (28/51, 55%), weight (26/51, 51%), and fall risk (23/51, 45%). The greatest concerns about using wearable devices were cost (31/51, 61%), safety (14/51, 28%), and privacy (13/51, 26%); one-fourth (12/51) reported having no concerns. They were mostly interested in sharing data from mobile and connected devices with their health care providers followed by family, online communities, friends, and no one. About 41% (21/51) of the older adults surveyed reported having ever heard of an online health community, and roughly 40% (20/51) of the participants reported being interested in joining such a community. Most participants reported having access to a smartphone (38/51, 74%), and those with such access were significantly more likely to show interest in using a wearable health device ( P <.001) and joining an online health community ( P =.05). Conclusions Our findings suggest that, although few older adults are currently using mobile and wearable devices and connected health technologies for managing health, they are open to this idea and are mostly interested in sharing such data with their health care providers. Further studies are warranted to explore strategies to balance the data sharing preference of older adults and how to best integrate mobile and wearable device data with clinical workflow for health care providers to promote healthy aging in place.

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“…Hence, it is not an up-to-date overview of these solutions anymore. Elfaki and Alotaibi [ 19 ] present an overview of only the mobile health applications used for the assistance of AD. Studies [ 20 , 21 ] deal with the role of Virtual Reality Technology used for the diagnostics and cognition training of Alzheimer patients.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Sensing Technologies for the Diagnosis, Monitoring and Therapy of Alzheimer’s Disease: A Systematic Review

Gillani

Arslan

2021

Sensors

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Alzheimer’s disease is a lifelong progressive neurological disorder. It is associated with high disease management and caregiver costs. Intelligent sensing systems have the capability to provide context-aware adaptive feedback. These can assist Alzheimer’s patients with, continuous monitoring, functional support and timely therapeutic interventions for whom these are of paramount importance. This review aims to present a summary of such systems reported in the extant literature for the management of Alzheimer’s disease. Four databases were searched, and 253 English language articles were identified published between the years 2015 to 2020. Through a series of filtering mechanisms, 20 articles were found suitable to be included in this review. This study gives an overview of the depth and breadth of the efficacy as well as the limitations of these intelligent systems proposed for Alzheimer’s. Results indicate two broad categories of intelligent technologies, distributed systems and self-contained devices. Distributed systems base their outcomes mostly on long-term monitoring activity patterns of individuals whereas handheld devices give quick assessments through touch, vision and voice. The review concludes by discussing the potential of these intelligent technologies for clinical practice while highlighting future considerations for improvements in the design of these solutions for Alzheimer’s disease.

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The role of M-health applications in the fight against Alzheimer’s: current and future directions

Cited by 22 publications

References 17 publications

Consumer perspectives on reproductive health after using the Jakpros smart mobile health application: A cross-sectional, qualitative study

Consumer perspectives on reproductive health after using the Jakpros smart mobile health application: A cross-sectional, qualitative study

Mobile and Connected Health Technology Needs for Older Adults Aging in Place: Cross-Sectional Survey Study

Intelligent Sensing Technologies for the Diagnosis, Monitoring and Therapy of Alzheimer’s Disease: A Systematic Review

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