Solidaristic behavior and its limits: A qualitative study about German and Swiss residents’ behaviors towards public health measures during COVID-19 lockdown in April 2020

SSM - Qualitative Research in Health(2022)

引用 7|浏览6
暂无评分
摘要
Politicians, policymakers, and mass media alike have emphasized the importance of solidarity during the COVID-19 pandemic, calling for the need of social cohesion in society to protect risk groups and national healthcare systems. In this study, which is part of an international Consortium, we analyzed 77 qualitative interviews with members of the general public in Germany and German-speaking areas of Switzerland on solidaristic behavior and its limits during the first COVID-19 related lockdown in April 2020. We found interdependencies between the interpersonal, group, and state tiers of solidarity that offer insights into what promotes solidaristic practice and what does not. We argue that because solidarity does not have a necessary and sufficient normative value in itself, those wanting to promote solidarity need to consider these interdependencies to effectively implement policy measures. Our study shows that inter-societal solidarity was based on individual voluntary agency and promoted through recognizing a shared goal, shared values, or other communalities including group effort. It also shows that individuals held state authorities accountable for the same values and expect inter-societal reciprocity from the contractual level. Tensions between those complying or willing to follow recommendations voluntarily and those perceived as not promoting the shared goal, posed challenges for solidarity. Another challenge for solidaristic behavior was when acting in solidarity with others was in direct conflict with the needs of close ones. Our study provides a clearer picture of promoting and limiting factors concerning solidarity which is relevant when communicating health policy measures to individuals and groups.
更多
查看译文
关键词
COVID-19,Solidarity,Well-being,Distributive justice,Social cohesion,Qualitative methods,Health policy
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要