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The document outlines a project exploring the 'ripple effects' of deploying distance health and social care solutions. It specifically examines potential climate benefits from reduced transport and uses the SDG Synergies tool to identify conflicts and synergies with the UN Agenda 2030 goals, arguing that systematic, collaborative examination of these interactions improves policy effectiveness.

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  • The project utilized two distinct analytical methods to understand the impacts of online health services: scenario analysis to estimate climate benefits from decreased transport, and the SDG Synergies tool to map broader policy interactions.
  • Physical distance has historically hindered healthcare access in rural and sparsely populated areas, a problem that the coronavirus pandemic intensified but also helped catalyze the testing of tools to bridge these gaps.
  • The authors argue that policy effectiveness is improved when strategies are chosen based on a comprehensive understanding of their potential synergies and conflicts, which is best achieved through multi-disciplinary collaboration and systematic cognitive tools.

Cite the original document

APA
Stockholm Environment Institute (2021). Health and Social Care Solutions. https://www.sei.org/publications/health-and-social-care-solutions/
Chicago
Stockholm Environment Institute. Health and Social Care Solutions. 2021. https://www.sei.org/publications/health-and-social-care-solutions/.
Wikipedia
{{cite report |author=Stockholm Environment Institute |title=Health and Social Care Solutions |date=1 October 2021 |url=https://www.sei.org/publications/health-and-social-care-solutions/ |access-date=17 August 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{stockholmenvironmentinstitute2021health, author = {{Stockholm Environment Institute}}, title = {{Health and Social Care Solutions}}, institution = {Stockholm Environment Institute}, year = {2021}, month = oct, url = {https://www.sei.org/publications/health-and-social-care-solutions/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }

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