{"title":"依靠信任：对政府的信任对遵守健康行为指导政策的间接影响。","authors":"Talia Goren, Dana R Vashdi, Itai Beeri","doi":"10.1007/s11077-022-09481-3","DOIUrl":null,"url":null,"abstract":"<p><p>Trust in government is considered a prominent factor for enhancing public compliance with government policies and instructions. The Coronavirus pandemic demonstrates the crucial role public compliance with governmentally issued health guidelines has in mitigating the pandemic. However, the mechanism explaining the trust-compliance association, particularly in regard to health-behavior compliance, is unclear. This article develops a new theoretical model, the Mediated Trust Model (MTM), for explaining the relationship between trust in government and public compliance with health instructions. The model extends the classic Health Belief Model for predicting health behavior by claiming that the perceptions regarding the instructions' costs, benefits and one's ability to perform them are affected by trust in government and mediate the trust-compliance association. The MTM was tested in four cross-sectional studies performed during the first 20 months of the Coronavirus pandemic in Israel on 3732 participants, for various health instructions. Implications for public health literature, policy compliance theory and policy makers are discussed.</p>","PeriodicalId":51433,"journal":{"name":"Policy Sciences","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9665042/pdf/","citationCount":"0","resultStr":"{\"title\":\"Count on trust: the indirect effect of trust in government on policy compliance with health behavior instructions.\",\"authors\":\"Talia Goren, Dana R Vashdi, Itai Beeri\",\"doi\":\"10.1007/s11077-022-09481-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Trust in government is considered a prominent factor for enhancing public compliance with government policies and instructions. The Coronavirus pandemic demonstrates the crucial role public compliance with governmentally issued health guidelines has in mitigating the pandemic. However, the mechanism explaining the trust-compliance association, particularly in regard to health-behavior compliance, is unclear. This article develops a new theoretical model, the Mediated Trust Model (MTM), for explaining the relationship between trust in government and public compliance with health instructions. The model extends the classic Health Belief Model for predicting health behavior by claiming that the perceptions regarding the instructions' costs, benefits and one's ability to perform them are affected by trust in government and mediate the trust-compliance association. The MTM was tested in four cross-sectional studies performed during the first 20 months of the Coronavirus pandemic in Israel on 3732 participants, for various health instructions. Implications for public health literature, policy compliance theory and policy makers are discussed.</p>\",\"PeriodicalId\":51433,\"journal\":{\"name\":\"Policy Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9665042/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Policy Sciences\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1007/s11077-022-09481-3\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/11/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC ADMINISTRATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Policy Sciences","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s11077-022-09481-3","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/11/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
Count on trust: the indirect effect of trust in government on policy compliance with health behavior instructions.
Trust in government is considered a prominent factor for enhancing public compliance with government policies and instructions. The Coronavirus pandemic demonstrates the crucial role public compliance with governmentally issued health guidelines has in mitigating the pandemic. However, the mechanism explaining the trust-compliance association, particularly in regard to health-behavior compliance, is unclear. This article develops a new theoretical model, the Mediated Trust Model (MTM), for explaining the relationship between trust in government and public compliance with health instructions. The model extends the classic Health Belief Model for predicting health behavior by claiming that the perceptions regarding the instructions' costs, benefits and one's ability to perform them are affected by trust in government and mediate the trust-compliance association. The MTM was tested in four cross-sectional studies performed during the first 20 months of the Coronavirus pandemic in Israel on 3732 participants, for various health instructions. Implications for public health literature, policy compliance theory and policy makers are discussed.
期刊介绍：
The policy sciences are distinctive within the policy movement in that they embrace the scholarly traditions innovated and elaborated by Harold D. Lasswell and Myres S. McDougal. Within these pages we provide space for approaches that are problem-oriented, contextual, and multi-method in orientation. There are many other journals in which authors can take top-down, deductive, and large-sample approach or adopt a primarily theoretical focus. Policy Sciences encourages systematic and empirical investigations in which problems are clearly identified from a practical and theoretical perspective, are well situated in the extant literature, and are investigated utilizing methodologies compatible with contextual, as opposed to reductionist, understandings. We tend not to publish pieces that are solely theoretical, but favor works in which the applied policy lessons are clearly articulated. Policy Sciences favors, but does not publish exclusively, works that either explicitly or implicitly utilize the policy sciences framework. The policy sciences can be applied to articles with greater or lesser intensity to accommodate the focus of an author’s work. At the minimum, this means taking a problem oriented, multi-method or contextual approach. At the fullest expression, it may mean leveraging central theory or explicitly applying aspects of the framework, which is comprised of three principal dimensions: (1) social process, which is mapped in terms of participants, perspectives, situations, base values, strategies, outcomes and effects, with values (power, wealth, enlightenment, skill, rectitude, respect, well-being, and affection) being the key elements in understanding participants’ behaviors and interactions; (2) decision process, which is mapped in terms of seven functions—intelligence, promotion, prescription, invocation, application, termination, and appraisal; and (3) problem orientation, which comprises the intellectual tasks of clarifying goals, describing trends, analyzing conditions, projecting developments, and inventing, evaluating, and selecting alternatives. There is a more extensive core literature that also applies and can be visited at the policy sciences website: http://www.policysciences.org/classicworks.cfm. In addition to articles that explicitly utilize the policy sciences framework, Policy Sciences has a long tradition of publishing papers that draw on various aspects of that framework and its central theory as well as high quality conceptual pieces that address key challenges, opportunities, or approaches in ways congruent with the perspective that this journal strives to maintain and extend.Officially cited as: Policy Sci
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