Background The development of new virtual care technologies (including telehealth and telemedicine) is growing rapidly, leading to a number of challenges related to health policy and planning for health systems around the world. Methods We brought together a diverse group of health system stakeholders, including patient representatives, to engage in policy dialogue to set health system priorities for the application of virtual care in the primary care sector in the Province of Ontario, Canada. We applied a nominal group technique (NGT) process to determine key priorities, and synthesized these priorities with group discussion to develop recommendations for virtual care policy. Methods included a structured priority ranking process, open-ended note-taking, and thematic analysis to identify priorities. Results Recommendations were summarized under the following themes: (a) identify clear health system leadership to embed virtual care strategies into all aspects of primary and community care; (b) make patients the focal point of health system decision-making; (c) leverage incentives to achieve meaningful health system improvements; and (d) building virtual care into streamlined workflows. Two key implications of our policy dialogue are especially relevant for an international audience. First, shifting the dialogue away from technology toward more meaningful patient engagement will enable policy planning for applications of technology that better meet patients' needs. Second, a strong conceptual framework on guiding the meaningful use of technology in health care settings is essential for intelligent planning of virtual care policy. Conclusions Policy planning for virtual care needs to shift toward a stronger focus on patient engagement to understand patients' needs.

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In this paper, we focus on understanding what drives individual attitudes towards their governor. Using original surveys from March and May 2020, we test the role of social identities, namely partisanship, place, and gender, in explaining gubernatorial approval. We find that partisan congruence and state attachment are strong predictors of gubernatorial approval while gender congruence does not appear to influence gubernatorial approval.