“I’m New to This”: Navigating Digitally Mediated Photovoice Methods to Enhance Research With Older Adults

The COVID-19 pandemic forced a shift in long established participatory visual qualitative methods. Some researchers adapted photovoice— which traditionally happens in-person—and used technology to connect with participants referred to as “digitally mediated photovoice”. Collective knowledge about best practices for digitally mediated photovoice to support and enhance research with older adults is in its infancy. Thus, to advance the field, we describe our approach to digitally mediated photovoice with older adults for a study in Vancouver, Canada. We explore participant and researcher reflections with data generated during three sessions over two-and-a-half years during the COVID-19 pandemic. The first two virtual interview sessions used photo elicitation, and the third session was an in-person interactive photography exhibition. We identified three central benefits to using digitally mediated photovoice. This approach 1. built rapport through the shared experience of navigating technology; 2. allowed a rich exchange of information despite physical distancing; and 3. facilitated opportunity for participants to exercise their agency. As we consider constraints for in-person data collection, digitally mediated photovoice may offer an avenue to establish mutually beneficial researcher-participant relationships with older adults. We add to the growing body of literature that addresses how qualitative researchers incorporate technology into the research process to reshape how we understand intimacy and access

“It makes me feel not so alone”: features of the Choose to Move physical activity intervention that reduce loneliness in older adults

Background: Despite the well-known health benefits of physical activity (PA), older adults are the least active citizens. Older adults are also at risk for loneliness. Given that lonely individuals are at risk for accelerated loss of physical functioning and health with age, PA interventions that aim to enhance social connectedness may decrease loneliness and increase long-term PA participation. The objectives of this mixed-method study are to: (1) evaluate whether an evidence-based PA intervention (Choose to Move; CTM) influenced PA and loneliness differently among self-identified ‘lonely’ versus ‘not lonely’ older adults and (2) to describe factors within CTM components most likely to promote social connectedness/reduce loneliness. Methods: CTM is a flexible, scalable, community-based health promoting physical activity intervention for older adults. Two community delivery partner organizations delivered 56 CTM programs in 26 urban locations across British Columbia. We collected survey data from participants (n = 458 at baseline) at 0 (baseline), 3 (mid-intervention) and 6 (post-intervention) months. We conducted in depth interviews with a subset of older adults to understand how CTM facilitated or impeded their PA and social connectedness. Results: PA increased significantly from baseline to 3 months in lonely and not lonely participants. PA decreased significantly from 3 to 6 months in lonely participants; however, PA at 6 months remained significantly above baseline levels in both groups. Loneliness decreased significantly from baseline to 3 and 6 months in participants identifying as lonely at baseline. Factors within CTM components that promote social connectedness/reduce loneliness include: Activity coach characteristics/personality traits and approaches; opportunity to share information and experiences and learn from others; engagement with others who share similar/familiar experiences; increased opportunity for meaningful interaction; and accountability. Conclusion: Health promoting interventions that focus on PA and social connectedness through group-based activities can effectively reduce social isolation and loneliness of older adults. Given the ‘epidemic of loneliness’ that plagues many countries currently, these kinds of interventions are timely and important. Research that further delineates mechanisms (e.g., sharing experiences vs. lectures), that modify the effect of an intervention on social connectedness outcomes for older adults engaged in community-based PA programs would be a welcome addition to the literature.Medicine, Faculty ofOther UBCFamily Practice, Department ofReviewedFacult

INTERACT: A comprehensive approach to assess urban form interventions through natural experiments

Background: Urban form interventions can result in positive and negative impacts on physical activity, social participation, and well-being, and inequities in these outcomes. Natural experiment studies can advance our understanding of causal effects and processes related to urban form interventions. The INTErventions, Research, and Action in Cities Team (INTERACT) is a pan-Canadian collaboration of interdisciplinary scientists, urban planners, and public health decision makers advancing research on the design of healthy and sustainable cities for all. Our objectives are to use natural experiment studies to deliver timely evidence about how urban form interventions influence health, and to develop methods and tools to facilitate such studies going forward. Methods: INTERACT will evaluate natural experiments in four Canadian cities: the Arbutus Greenway in Vancouver, British Columbia; the All Ages and Abilities Cycling Network in Victoria, BC; a new Bus Rapid Transit system in Saskatoon, Saskatchewan; and components of the Sustainable Development Plan 2016–2020 in Montreal, Quebec, a plan that includes urban form changes initiated by the city and approximately 230 partnering organizations. We will recruit a cohort of between 300 and 3000 adult participants, age 18 or older, in each city and collect data at three time points. Participants will complete health and activity space surveys and provide sensor-based location and physical activity data. We will conduct qualitative interviews with a subsample of participants in each city. Our analysis methods will combine machine learning methods for detecting transportation mode use and physical activity, use temporal Geographic Information Systems to quantify changes to urban intervention exposure, and apply analytic methods for natural experiment studies including interrupted time series analysis. Discussion: INTERACT aims to advance the evidence base on population health intervention research and address challenges related to big data, knowledge mobilization and engagement, ethics, and causality. We will collect ~ 100 TB of sensor data from participants over 5 years. We will address these challenges using interdisciplinary partnerships, training of highly qualified personnel, and modern methodologies for using sensor-based data.Other UBCNon UBCReviewedFacult