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What drives compliance with COVID-19 measures over time? Explaining changing impacts with Goal Framing Theory.

ABSTRACT: The COVID-19 pandemic provides a unique opportunity to study which factors drive compliance and how the evolving context in society -virus fluctuations and changing government measures - changes the impact of these factors. Extant literature lists many factors that drive compliance - notably enforcement, trust, legitimacy. Most of these studies, however, do not look across time: whether a changing context for citizens changes the impact of factors driving compliance. In this study, we use Lindenberg's Goal Framing Theory to explain the dynamics of these drivers of compliance during the COVID-19 pandemic. We formulate hypotheses for pro-socialness, trust in government, observed respect for rules, rule effectiveness, rule appropriateness, fear of COVID-19 (severity and proximity), opportunities for pleasure and happiness, as well as worsened income position. We test our hypotheses with data collected at three different moments during the beginning of the COVID-19 crisis in Flanders, Belgium. Findings show that over time the constellations of factors that drive compliance change and, later in the pandemic, more distinct groups of citizens with different motivations to comply are identified. The overall conclusion is that the voluntary basis for compliance becomes more fragile over time, with a more differentiated pattern of drivers of compliance emerging. Public policy and communication need to adapt to these changes over time and address different groups of citizens.

SUBMITTER: Six F

PROVIDER: S-EPMC8661714 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundDuring the Millennium Development Goal (MDG) era (1990-2015) the government in Mainland Tanzania and partners launched numerous initiatives to advance child survival including the comprehensive One Plan for Maternal Newborn and Child Health in 2008-2015 and a "sharpened" One Plan strategy in early 2014. Moving into the Sustainable Development Goal era, the government needs to learn from successes and challenges of striving towards MDG 4.MethodsWe expand previous work by presenting data for the full MDG period and sub-national results. We used data from six nationally-representative household surveys conducted between 1999 and 2015 to examine trends in coverage of 22 lifesaving maternal, newborn, child health and nutrition (MNCH&N) interventions, nutritional status (stunting; wasting) and breastfeeding practice across Mainland Tanzania and sub-nationally in seven standardized geographic zones. We used the Lives Saved Tool (LiST) to model the relative contribution of included interventions which saved under 5 lives during the period from 2000-2015 compared to 1999 on a national level and within the seven zones.FindingsChild survival and nutritional status improved across Mainland Tanzania and in each of the seven zones across the 15-year period. MNCH&N intervention coverage varied widely and across zones with several key interventions declining across Mainland Tanzania or in specific geographical zones during all or part the period. According to our national LiST model, scale-up of 22 MNCH&N interventions - together with improvements in breastfeeding practice, stunting and wasting - saved 838?460 child lives nationally between 2000 and 2015.ConclusionsMainland Tanzania has made significant progress in child survival and nutritional outcomes but progress cannot be completely explained by changes in intervention coverage alone. Further examination of the implementation and contextual factors shaping these trends is important to accelerate progress in the SDG era.

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What drives compliance with COVID-19 measures over time? Explaining changing impacts with Goal Framing Theory.

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