Global demographic trends show that the worldwide age structure is rapidly changing more than ever before. The United Nations defines older people as those aged 65 years or older based on people’s chronological age. Currently, there are over 703 million older people, and it is expected to reach 2.1 billion by the year 2050 [1,2]. Population projections have indicated Europe and North America have the fastest growing aging population, and by 2050, the population percentage of older adults is expected to reach 34% in Europe and 28% in North America [3].

There is an ongoing negative narrative about aging that age-related changes, disability, and dependency among older people with poor and deteriorating health conditions imply an increased expenditure on health and its burden on the socioeconomic aspects of society [4]. Further, the COVID-19 pandemic has also underlined how older people are generally perceived and valued in our contemporary society [5-7]. This crisis exacerbated existing and deeply rooted inequalities such as underfinancing in the care sector and the chronic shortage of caregivers (both in the health and social sector) [8]. However, contrary to the negative narrative, increased longevity and good health allow older adults to meaningfully contribute socially and economically, and maximize their well-being late into life [9-11]. To facilitate healthy and successful aging, the fast-growing digital technology, with all its drawbacks, barriers, and challenges, offers a staggering promise and opportunity [12].

Despite substantial mixed and inconclusive findings, several studies and reviews have demonstrated the positive impact of digital technologies on different dimensions of an older person’s life, including health, housing, services and transactions, mobility and transportation, access to information, communication and work, recreation, and self-fulfillment [13-15]. Moreover, digital technologies play a substantial role in improving older people’s quality of life and independence [16-18]. However, a review reported an ambivalence toward digital technology due to negative effects such as a sense of privacy and personal security breaches. Whereas, personal safety during emergencies was reported as a positive effect of owning a mobile phone [18].

Over the past decades, digital technology use among older populations has grown exponentially both in the mainstream (day-to-day lives) and assisted care (health and social care) [19,20]. Changes in the workplace and the “digital by default” strategy for delivering public services are among contributing factors forcing older people to engage digitally [21]. Digital engagement in health promotion and social support through health information is also growing. However, the breadth and the extent of digital technology use among older people remains limited to communications such as sending or receiving emails, instant messaging, video calls (Skype), and making voice calls [14]. A perceived or actual lack of interest, skill gaps, and socioeconomic factors were mentioned as possible reasons for the limited use of digital technologies [14]. Besides, the age-related decline in vision, hearing, cognition, and dexterity also attribute to the limited use of digital technologies [22-24].

Comparatively, there is a discrepancy in digital involvement, access, and connectivity between the younger and older populations [16,24]. For instance, in the United Kingdom between 2014 and 2019, a significant proportion of the older population never connected digitally at all or had not used the internet over the past 3 months. The 2019 Office for National Statistics (ONS) survey showed 13.5% of older people aged 65 to 74 years old and 47% of those 75 years and older never used the internet [16]. A similar population-based study in 7 European countries reported only 12% internet use among older people (60 years and older), of whom 64% used it for health-related issues [25]. In the United States, smartphone ownership among older people 65 years and older is significantly lower in comparison to the national average (81%; ie, 59% of those between the ages of 65 and 74 years are smartphone owners, but it falls to 40% among those 75 years and older) [26].

To create a digitally inclusive and accessible world, the International Organization for Standardization recommends human-centered and accessible designs (ISO 9241-11:2018) [27]. Adaptation guidelines such as text font size, screen setting, contrast, and color adjustments are among the recommended standards. These modalities enable older people with physical disabilities to engage digitally [28]. However, technology designs are mostly driven by technology push rather than user demand pull factors. Additionally, the fast-evolving nature of digital technology makes it challenging for older people to catch up and sustain engagement with the adaptation guidelines.

To thrive in the increasingly digitalized world, an acquaintance with technology is inadvertently becoming a mandatory way of life [21]. Despite the current assumption that older people are not using digital technologies, many studies have indicated that older people are competent and skilled digital technology users [29,30]. Still, there is a gap in evidence, with some key questions that require illumination:

The term “digital engagement or disengagement” has been widely used in marketing research with an aim toward promoting marketing strategies to end consumers [31-33]. Factors like brand factor, product factor, consumer factors, and content factors have been the main focus of these studies [34]. Though the factors are intertwined, this review will focus on studies that explore drivers of technological nonuse, initial adoption, and sustained digital engagement from older people’s perspectives.

Overall, we propose to understand the current state of knowledge about older people’s digital engagement through the stages of digital engagement (nonuse, initial adoption, and sustained engagement). This will facilitate an ongoing drive to reduce digital inequality and, in doing so, provide new understandings to promote the well-being of older people. It will also help identify potential alternatives for older people who remain nonusers of digital technology.

To facilitate this review, operationalizing older people’s digital engagement and disengagement is considered an important step in deciphering the continuum (Figure 1). This continuum with a three-stage approach involves technological nonuse, initial adoption or acceptance, and sustained digital engagement. This categorization will enrich the evidence mapping and the identification of barriers and facilitators for each dimension (initial adoption, sustained engagement, and technology nonuse). The description for each digital engagement dimension is provided in the following sections.

There is a growing body of literature that often gives glowing reviews on the positive effect of digital technology engagement among older people. However, there is a gap in comprehensive reviews of evidence understanding the complexities of the barriers and facilitators of older people’s digital engagement. This review will summarize the current state of knowledge concerning older people’s perspectives on digital engagement and disengagement from technological nonuse, initial adoption, and sustained use. In addition, the varieties of technologies used or being used in social and health care for older people will be identified.

Studies have shown that the use of digital technology will have a great impact on different dimensions of older people’s lives, for example, quality of life [18], decision making [29], and mobility and social connectedness [14]. However, there are no reviews of existing studies that summarized the state of knowledge from older people’s perspectives, specifically the drivers of engagement and disengagement from technological nonuse to initial adoption and sustained use. This scoping review aims to provide a base for a more comprehensive understanding of digital engagement among older people. The findings will inform older people, designers, developers, and decision makers about practical implications. In addition, this review will set an agenda for future research and further in-depth understanding of older people’s digital engagement.

The findings from this review will inform the extent of evidence on older people’s digital engagement, inform the extent and the breadth of the knowledge about barriers and facilitators of older people’s digital engagement, and delineate the scope of what we already know. Further, these findings will indicate the gaps in the ongoing research of the issue.

As of November 2020, there have been over 50 million COVID-19 cases and over 1 million deaths worldwide. Governments worldwide have implemented different levels of public health infrastructures such as lockdowns, social distancing, testing, contact tracing, and isolation measures [51]. As a result, digital technology use as a modality for coping with the crisis and socioeconomic continuity has substantially increased. For example, people are now using technology to work from home, to speak to their families and loved ones, and to source entertainment and information [52,53]. In addition, contact tracing apps were implemented in European countries, China, Singapore, and the United Kingdom [54,55]. Despite the unanticipated nature of the crisis and the higher vulnerability associated with age, the existing digital technology inequality among the age groups could imply low use or uptake of such services for the well-being of an older person, exacerbating the existing inequality [56]. In this new configuration of societal roles and innovative ways to tackle the transmission and stop the pandemic, future understanding of older people’s digital engagement will shed light on existing efforts to make technologies equitable.

The methodology for this scoping review is informed mainly by the Arksey and O’Malley framework for scoping reviews and will examine the extent, range, and breadth of evidence for the drivers of digital engagement among older people [57]. Additional recent methodological development on scoping reviews by Levac et al [58] and Tricco et al [59] (ie, PRISMA-ScR [Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews] Checklist) will be incorporated in the main framework. The framework has 6 steps described in the following sections.

Identifying relevant and broader research questions is the first step in the process of a scoping review. Our review questions are as follows:

A comprehensive search of identified electronic databases will be conducted to locate relevant studies. Our search will include primary databases such as the Association for Computing Machinery Digital Library; Library, Information Science, and Technology Abstracts; MEDLINE; PsycINFO; CINAHL; and ScienceDirect. The search will be complemented by interdisciplinary (Web of Science, EBSCO, and Scopus) and secondary databases (Cochrane library and Joanna Briggs Institute [JBI] reviews). In addition, common grey literature sources from key journals (JMIR, the Journal of Gerontology, and the Journal of Gerontechnology) and Google Scholar will be included. Additional manual searches of peer-reviewed and grey source literature on the current COVID-19 crisis and the role of digital technology engagement among older people, published from December 2019 onward, will be included to support the review rationale.

Taking into consideration the research question and the JBI recommended population, concept, and context (PCC) approach, keywords and their synonyms, plurals, spellings, and acronyms will be used to develop a comprehensive search strategy as follows.

All identified literature from our broad search strategy will be exported to the EndNote library manager and Evidence for Policy and Practice Information (EPPI) Reviewer 4 for the two-stage screening (title/abstract and full article).

Inclusion and exclusion criteria to select studies will be generated based on the scope of the inquiry. Accordingly, we will use the iterative search strategy as we go back and forth to refine the search strategy and study selection.

Important variables from studies found to be eligible for final inclusion in the scoping review will be extracted using a customized data extraction tool. The extracted variables will inform the scope and the breadth of the existing literature on older people’s digital engagement (Textbox 1). Variables such as study design, source of data, study size, study setting, study population, digital technology used, stage of digital engagement under study, and the barriers and facilitators of digital engagement among older people will be extracted.

An extension of the PRISMA-ScR flow diagram and guideline for reporting scoping reviews will be used to describe and collate the results of the final review [58,59]. The scoping will involve quantitative analysis (ie, frequency analysis), numerical description and common characterization of the studies by a study setting (geography or distribution), type of the study designs, the mean age of the study participants, and other features. Finally, the qualitative analysis will be conducted using the content analysis technique. Conceptual categories and definitions will be formed to inform the meanings, barriers, facilitators, and experiences of older people related to digital technology engagement. These categories will be used to generate themes. Levac et al [58] recommended qualitative content analysis to facilitate the summary and make sense of the extracted variables. This relational conceptual analysis will help explore relationships between the concepts extracted from the articles in the field. Charting of important variables and a narrative description of the findings will be presented in the review report.

We will conduct a consultation based on the identified preliminary literature findings on the topic of interest with identified stakeholders including advocacy groups, older people, academicians, digital developers, practitioners, and other early-stage researchers. This consultation exercise will be done after the preliminary electronic search on the common databases. The findings from the consultation exercise will inform our revision of the research question and refine the search strategy. The findings from the consultation exercise will be thematically presented.

We will comment on the ethical approval status of the included studies. However, for this review, ethical approval is not required since it uses publicly available sources. The key finding from this scoping review will be made available online and will be disseminated to key stakeholders.