Factors that affect health information technology adoption by seniors: A systematic review

Kavandi, Hamidreza; Jaana, Mirou

doi:10.1111/hsc.13011

Cited by 95 publications

(90 citation statements)

References 65 publications

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“…Hence, it appears to be a disconnect between the actual needs and willingness of the older adults in the community to use mHealth technologies and the ability and readiness of health care providers to leverage these tools to support the care provided for these individuals. Despite previous efforts to explore the factors that affect health information technology adoption by older adults in the community [ 26 ], we have very limited information about the facilitators and barriers that play a role in bridging this disconnect and enabling more optimal use of mHealth technologies for older adults’ care.…”

Section: Discussionmentioning

confidence: 99%

“…mHealth refers to the use of mobile devices (eg, patient monitoring devices, mobile phones) to detect and monitor physiological changes and support medical and public health practice [ 15 ]. Prior research has examined the potential role of mHealth technologies in providing long-term support for older adults [ 16 - 18 ] and in monitoring chronic conditions often associated with older age [ 19 - 26 ]. Self-tracking devices in particular (eg, smart devices with mobile apps, fitness trackers, blood pressure monitors) have gained interest in recent years in light of their potential for monitoring and motivating individuals to remain healthy [ 27 - 31 ].…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey

Jaana¹,

Paré²

2020

JMIR Mhealth Uhealth

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Background The burden of population aging and chronic conditions has been reported worldwide. Older adults, especially those with high needs, experience social isolation and have high rates of emergency visits and limited satisfaction with the care they receive. Mobile health (mHealth) technologies present opportunities to address these challenges. To date, limited information is available on Canadian older adults’ attitudes toward and use of mHealth technologies for self-tracking purposes—an area that is increasingly important and relevant during the COVID-19 era. Objective This study presents contributions to an underresearched area on older adults and mHealth technology use. The aim of this study was to compare older adults’ use of mHealth technologies to that of the general adult population in Canada and to investigate the factors that affect their use. Methods A cross-sectional survey on mHealth and digital self-tracking was conducted. A web-based questionnaire was administered to a national sample of 4109 Canadian residents who spoke either English or French. The survey instrument consisted of 3 sections assessing the following items: (1) demographic characteristics, health status, and comorbidities; (2) familiarity with and use of mHealth technologies (ie, mobile apps, consumer smart devices/wearables such as vital signs monitors, bathroom scales, fitness trackers, intelligent clothing); and (3) factors influencing the continued use of mHealth technologies. Results Significant differences were observed between the older adults and the general adult population in the use of smart technologies and internet (P<.001). Approximately 47.4% (323/682) of the older adults in the community reported using smartphones and 49.8% (340/682) indicated using digital tablets. Only 19.6% (91/463) of the older adults using smartphones/digital tablets reported downloading mobile apps, and 12.3% (47/383) of the older adults who heard of smart devices/wearables indicated using them. The majority of the mobile apps downloaded by older adults was health-related; interestingly, their use was sustained over a longer period of time (P=.007) by the older adults compared to that by the general population. Approximately 62.7% (428/682) of the older adults reported tracking their health measures, but the majority did so manually. Older adults with one or more chronic conditions were mostly nontrackers (odds ratio 0.439 and 0.431 for traditional trackers and digital trackers, respectively). No significant differences were observed between the older adults and the general adult population with regard to satisfaction with mHealth technologies and their intention to continue using them. Conclusions Leveraging mHealth technologies in partnership with health care providers and sharing of health/well-being data with health care professionals and family members remain very limited. A culture shift in the provision of care to older adults is deemed necessary to keep up with the development of mHealth technologies and the changing demographics and expectations of patients and their caregivers.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey

Jaana¹,

Paré²

2020

JMIR Mhealth Uhealth

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“…Currently, there is no evidence that these technologies help address cognitive decline, QoL, or heart conditions for older adults with complex needs. 18 Many research studies focus on using models available to investigate the acceptance of assistive technology among older adults but it is still unclear the reasons for low adoption of these technologies. 19 Intelligent assistive technologies for dementia patients were found to be developed in the absence of ethical considerations which results in low prevalence.…”

Section: Motivation and Goalsmentioning

confidence: 99%

“…Various upfront and subscription packages MariCare 18 Smart floor and activity sensing for monitoring activities and falls.…”

Section: Ukmentioning

confidence: 99%

Ethics and acceptance of smart homes for older adults

Pirzada

Wilde

Doherty

et al. 2021

Informatics for Health and Social Care

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Societal challenges associated with caring for the physical and mental health of older adults worldwide have grown at an unprecedented pace, increasing demand for health-care services and technologies Despite the development of several assistive systems tailored to older adults, the rate of adoption of health technologies is low. This review discusses the ethical and acceptability challenges resulting in low adoption of health technologies specifically focused on smart homes for older adults. The findings have been structured in two categories: Ethical Considerations (Privacy, Social Support, and Autonomy) and Technology Aspects (User Context, Usability, and Training). The findings conclude that older adults community is more likely to adopt assistive systems when four key criteria are met. The technology should: be personalized toward their needs, protect their dignity and independence, provide user control, and not be isolating. Finally, we recommend researchers and developers working on assistive systems to: (1) provide interfaces via smart devices to control and configure the monitoring system with feedback for the user, (2) include various sensors/devices to architect a smart home solution in a way that is easy to integrate in daily life, and (3) define policies about data ownership.

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“…mHealth refers to the use of mobile devices (eg, patient monitoring devices, mobile phones) to detect and monitor physiological changes and support medical and public health practice [15]. Prior research has examined the potential role of mHealth technologies in providing long-term support for older adults [16][17][18] and in monitoring chronic conditions often associated with older age [19][20][21][22][23][24][25][26]. Self-tracking devices in particular (eg, smart devices with mobile apps, fitness trackers, blood pressure monitors) have gained interest in recent years in light of their potential for monitoring and motivating individuals to remain healthy [27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey (Preprint)

Jaana¹,

Paré²

2020

Preprint

Self Cite

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BACKGROUND The burden of population aging and chronic conditions has been reported worldwide. Older adults, especially those with high needs, experience social isolation and have high rates of emergency visits and limited satisfaction with the care they receive. Mobile health (mHealth) technologies present opportunities to address these challenges. To date, limited information is available on Canadian older adults’ attitudes toward and use of mHealth technologies for self-tracking purposes—an area that is increasingly important and relevant during the COVID-19 era. OBJECTIVE This study presents contributions to an underresearched area on older adults and mHealth technology use. The aim of this study was to compare older adults’ use of mHealth technologies to that of the general adult population in Canada and to investigate the factors that affect their use. METHODS A cross-sectional survey on mHealth and digital self-tracking was conducted. A web-based questionnaire was administered to a national sample of 4109 Canadian residents who spoke either English or French. The survey instrument consisted of 3 sections assessing the following items: (1) demographic characteristics, health status, and comorbidities; (2) familiarity with and use of mHealth technologies (ie, mobile apps, consumer smart devices/wearables such as vital signs monitors, bathroom scales, fitness trackers, intelligent clothing); and (3) factors influencing the continued use of mHealth technologies. RESULTS Significant differences were observed between the older adults and the general adult population in the use of smart technologies and internet (<i>P</i><.001). Approximately 47.4% (323/682) of the older adults in the community reported using smartphones and 49.8% (340/682) indicated using digital tablets. Only 19.6% (91/463) of the older adults using smartphones/digital tablets reported downloading mobile apps, and 12.3% (47/383) of the older adults who heard of smart devices/wearables indicated using them. The majority of the mobile apps downloaded by older adults was health-related; interestingly, their use was sustained over a longer period of time (<i>P</i>=.007) by the older adults compared to that by the general population. Approximately 62.7% (428/682) of the older adults reported tracking their health measures, but the majority did so manually. Older adults with one or more chronic conditions were mostly nontrackers (odds ratio 0.439 and 0.431 for traditional trackers and digital trackers, respectively). No significant differences were observed between the older adults and the general adult population with regard to satisfaction with mHealth technologies and their intention to continue using them. CONCLUSIONS Leveraging mHealth technologies in partnership with health care providers and sharing of health/well-being data with health care professionals and family members remain very limited. A culture shift in the provision of care to older adults is deemed necessary to keep up with the development of mHealth technologies and the changing demographics and expectations of patients and their caregivers.

show abstract

Factors that affect health information technology adoption by seniors: A systematic review

Cited by 95 publications

References 65 publications

Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey

Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey

Ethics and acceptance of smart homes for older adults

Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey (Preprint)

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