|Grant Number:||7R01CA128638-05 Interpret this number|
|Primary Investigator:||Leischow, Scott|
|Organization:||Mayo Clinic Arizona|
|Project Title:||Knowledge Integration in Quitlines: Networks That Improve Cessation|
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.
Research priorities for FCTC Articles 20, 21, and 22: surveillance/evaluation and information exchange.
Authors: Giovino GA, Kulak JA, Kalsbeek WD, Leischow SJ
Source: Nicotine Tob Res, 2013 Apr;15(4), p. 847-61.
EPub date: 2013 Jan 18.
Mapping tobacco quitlines in North America: signaling pathways to improve treatment.
Authors: Leischow SJ, Provan K, Beagles J, Bonito J, Ruppel E, Moor G, Saul J
Source: Am J Public Health, 2012 Nov;102(11), p. 2123-8.
EPub date: 2012 Sep 20.
Assessing the preconditions for communication influence on decision making: the North American Quitline Consortium.
Authors: Bonito JA, Ruppel EK, Saul JE, Leischow SJ
Source: Health Commun, 2013;28(3), p. 248-59.
EPub date: 2012 May 14.
Relationship between smokers' modes of entry into quitlines and treatment outcomes.
Authors: Guy MC, Seltzer RG, Cameron M, Pugmire J, Michael S, Leischow SJ
Source: Am J Health Behav, 2012 Jan;36(1), p. 3-11.
Network formation, governance, and evolution in public health: the North American Quitline Consortium case.
Authors: Provan KG, Beagles JE, Leischow SJ
Source: Health Care Manage Rev, 2011 Oct-Dec;36(4), p. 315-26.
Research collaboration in the discovery, development, and delivery networks of a statewide cancer coalition.
Authors: Provan KG, Leischow SJ, Keagy J, Nodora J
Source: Eval Program Plann, 2010 Nov;33(4), p. 349-55.
EPub date: 2009 Dec 16.
Systems thinking to improve the public's health.
Authors: Leischow SJ, Best A, Trochim WM, Clark PI, Gallagher RS, Marcus SE, Matthews E
Source: Am J Prev Med, 2008 Aug;35(2 Suppl), p. S196-203.