Knowledge Integration in Quitlines: Networks that Improve Cessation

描述(申请人提供)：戒烟中的知识整合：改善戒烟的网络(KIQ NIC)摘要在美国，每五例死亡中就有一例与烟草使用有关，它仍然是导致过早死亡的主要可预防原因。鉴于烟草使用作为公共健康威胁的高度复杂性，国家癌症研究所支持了一项倡议和最近出版的一本烟草控制专著，该专著旨在说明哪些方式(系统思维)可以改善烟草控制工作。在这本专著中，NCI指出，社会网络分析和与个人和群体之间沟通有关的因素对于理解和改进最佳做法在组织内的传播和实施至关重要，这些组织是复杂适应系统的一部分，如烟草控制(NCI，2007)。这一调查小组是NCI倡议和专著的核心，拟议的研究是该倡议的直接延伸。拟议的研究旨在更好地了解现有和定义明确的烟草控制网络}北美Quitline联盟(NAQC)}的利益相关者通过这些网络和通信机制进行互动，分享新证据，就如何以及何时实施新知识做出决定，并实际采用他们认为将改善Quitline结果的做法。NAQC是由NCI、CDC和其他组织资助的，作为支持电话戒烟的独特的研究到实践的合作。截至2006年，美国每个州(包括华盛顿特区)加拿大每个省份都实施了戒烟戒烟热线，因此将有62个戒烟热线的人口被纳入拟议的研究。在研究人员和NAQC成员之间进行了一年的工具开发和团队建设之后，将实施三波社会网络和决策分析，以分析采用和实施新证据和知识的过程。此外，为了跟踪新实践的实施，将分析实际的Qualline操作，多变量建模将评估网络、决策和其他对采用新QuLine实践的潜在影响的相对影响。预计结果将增加我们对如何弥合研究人员、服务组织、提供者和客户之间的差距的理解，并探索如何在NAQC中传播、实施和整合新知识，特别是新的科学证据。与公共卫生相关：在美国，每五例死亡中就有一例与烟草使用有关，烟草仍然是导致过早死亡的主要可预防原因。幸运的是，美国和加拿大的每个州和省现在都有免费电话帮助吸烟者戒烟。不幸的是，我们对最佳实践和创新是如何在这些领域实施的知之甚少。拟议的研究旨在更好地了解QuiLine网络如何实施最佳做法和创新。将实施三波社会网络和决策分析，以分析采用和实施新证据和知识的过程，并将分析实际的停机业务，以跟踪新做法的实施情况。

DESCRIPTION (provided by applicant): Knowledge Integration in Quitlines: Networks that Improve Cessation (KIQ NIC) Abstract One in every five deaths in the U.S. is related to tobacco use, and it remains the leading preventable cause of premature death. Given the highly complex nature of tobacco use as a public health threat, the National Cancer Institute supported an initiative and a recently published tobacco control monograph designed to describe in what ways (systems thinking) might improve tobacco control efforts. In that monograph, NCI identified social network analysis and factors related to communication between individuals and groups as critical to understanding and improving the dissemination and implementation of best practices within organizations that are part of a complex adaptive system such as tobacco control (NCI, 2007). This investigative team was central to the NCI initiative and Monograph, and the proposed study is a direct extension of that initiative. The proposed study is designed to better understand the network and communications mechanisms by which stakeholders in an existing and well-defined tobacco control network } the North American Quitline Consortium (NAQC) } interact, share new evidence, make decisions on how and when to implement new knowledge, and actually adopt practices that they believe will improve quitline outcomes. The NAQC is funded by NCI, CDC and other organizations as a unique research-to-practice collaboration to support telephone- based tobacco cessation. As of 2006, every U. S. state (including D.C.) and every Canadian province had implemented a smoking cessation quitline, thus resulting in a population of 62 quitlines that will be included in the proposed study. Following a formative year of instrument development and team building between the researchers and NAQC members, three waves of social network and decision-making analyses will be implemented to analyze processes of adoption and implementation of new evidence and knowledge. In addition, actual quitline operations will be analyzed in order to track implementation of new practices, and multivariate modeling will assess the relative influences of network, decision-making, and other potential influences on adoption of new quitline practices. The results are expected to increase our understanding of how to bridge the gaps between researchers, services organizations, providers, and clients, and to explore how new knowledge} especially new scientific evidence} is disseminated, implemented, and integrated within the NAQC. PUBLIC HEALTH RELEVANCE: One in every five deaths in the U.S. is related to tobacco use, and it remains the leading preventable cause of premature death. Fortunately, every state and Province in the U.S. and Canada, respectively, now has a free telephone quitline to help smokers quit. Unfortunately, we know little about how best practices and innovations are implemented in those quitlines. The proposed study is designed to better understand how the network of quitlines implements best practices and innovations. Three waves of social network and decision-making analyses will be implemented to analyze processes of adoption and implementation of new evidence and knowledge, and actual quitline operations will be analyzed in order to track implementation of new practices.