Advancing Healthy Aging through Digital Inclusion: Rigorous Evidence on Sustained Technology Support, Independence, and Well-Being In Older Adults

In an increasingly digital society, the inability to access and effectively use technology functions as a structural determinant of health, systematically reproducing inequities among older adults; particularly women, immigrants, and linguistically diverse populations. Addressing this gap is critical to advancing rigorous inquiry for the common good. This study provides theory-driven, mixed-methods evidence that sustained, community-based technology support is a scalable intervention for promoting health equity, social inclusion, and independence in later life.

Background and Purpose:
Existing interventions predominantly emphasize one-time digital literacy training, which fails to address longitudinal engagement, intersectional barriers (e.g., gender, language, migration status), and the relational nature of learning in later life. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT), Self-Determination Theory (SDT), and Socioemotional Selectivity Theory (SST), this study conceptualizes ongoing tech support as a facilitating condition that enhances competence, autonomy, and goal-relevant engagement. We examine how sustained support mechanisms influence digital inclusion and psychosocial well-being, with attention to gendered and culturally mediated experiences.

Methods:
We employed a rigorous mixed-methods triangulation design integrating quantitative survey data, qualitative focus group interviews, and structured observational data to enhance internal validity, ecological validity, and analytic depth. Data were drawn from digitalLIFT’s Tech Advice Sessions, a multilingual, community-embedded digital inclusion intervention. The survey (N=36) assessed digital usage frequency, perceived competence, independence, and social isolation across diverse language groups. Focus group interviews (n=7; age 70+) elicited in-depth narratives on gendered experiences, barriers, and facilitators of sustained engagement. Structured observations captured real-time instructional dynamics, peer learning processes, and culturally responsive practices. Quantitative analyses included descriptive and correlational techniques, while qualitative data were analyzed using inductive-deductive thematic coding. Triangulation across data sources strengthened inference, minimized method bias, and identified convergent mechanisms of change.

Results:
Findings demonstrate a consistent and meaningful association between sustained participation and improved digital engagement, with participants reporting more than a twofold increase in internet use frequency. Gains in perceived competence and autonomy were observed across all subgroups, with disproportionately larger improvements among women and non-English-speaking participants; highlighting equity-enhancing effects. Participants reported increased access to health information, improved navigation of digital health and social services, and strengthened communication with social networks, indicating direct pathways to health equity. Across all methods, reductions in loneliness and social isolation emerged as robust outcomes. Observational and qualitative findings further revealed that repetition, culturally and linguistically responsive instruction, and peer-based learning are critical implementation components. Notably, participants exhibited emergent peer leadership, suggesting the viability of community-driven, intergenerational digital inclusion models.

Conclusions and Implications:
Implications for social work research and practice include embedding digital inclusion within health equity frameworks, designing longitudinal and culturally responsive interventions, and leveraging peer and intergenerational learning for scalability. Future research will extend this model through partnerships with SF Chinese Hospital, community senior centers in Oakland, Albany, and Berkeley, and private schools in Alameda. A “train-the-trainer” implementation strategy engaging high school students as digital navigators will be tested across diverse senior age cohorts, ethnicities, and language groups to strengthen causal inference, generalizability, and translational impact.