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Knowledge Integration in Quitlines: Networks that Improve Cessation (KIQNIC)

The Knowledge Integration in Quitlines: Networks that Improve Cessation (KIQNIC) grant was awarded to the Arizona Cancer Center at the University of Arizona from the U.S. National Cancer Institute, in 2008 and is scheduled to end in May 2014. The grant provides funds for a six-year research partnership with NAQC to better understand the communication mechanisms by which quitlines interact, share new evidence, and make decisions about the adoption and implementation of quitline practices.

KIQNIC has five main objectives:

1. To investigate the structure of the information sharing network of tobacco quitlines in the U.S. and Canada using social network analysis.

2. To investigate the role of social networks on the dissemination and implementation of evidence-based and newly created practices on tobacco quitlines.

3. To identify what role decision-making practices within quitlines may have on the relationship between social networks and adoption of evidence-based practices.

4. To evaluate if decision-making about quitline practices is the outcome of the exchange of relevant information, perceived need or pressure to conform (to what other quitlines are doing, or to pressures from within one's own organization or quitline), or some combination of the two.

5. To describe characteristics and structural features of quitlines that affect decision-making within quitlines.

KIQNIC General Information and Resources

Learn more about KIQNIC by visiting the links below:

Description of KIQNIC research project
Executive summary & glossary
Theoretical and conceptual project framework

KIQNIC Presentations

2009 NAQC Annual Conference presentation
2013 NAQC Conference Presentations:

Poster 1
Poster 2
Poster 3
Poster 4
Poster 5
The Complexity of Institutionalizing Evaluation as a Best-Practice in North-American Quitlines (PowerPoint Presentation)

KIQNIC Reports

Evidence for Quitline Practices, along with its shorter companion piece, is intended to provide clarity on the level of scientific evidence for various quitline practices. Based on feedback from NAQC’s KIQNIC workgroup, the research team also took time to assign each practice a rating for both efficacy and reach.

Evidence for Quitline Practices
Evidence for Practices by Category (a shorter version without full citations included)

KIQNIC Publications

Please find the list of articles below. If you need to obtain a full version of the article please contact NAQC staff at

1.Scott J. Leischow, Keith Provan, Jonathan Beagles, Joseph Bonito, Erin Ruppel, Gregg Moor, and Jessie Saul. Mapping Tobacco Quitlines in North America: Signaling Pathways to Improve Treatment. American Journal of Public Health: November 2012, Vol. 102, No. 11, pp. 2123-2128.doi: 10.2105/AJPH.2011.300529

2.Joseph A. Bonito , Erin K. Ruppel , Jessie E. Saul & Scott J. Leischow (2013): Assessing the Preconditionsfor Communication Influence on Decision Making: The North American Quitline Consortium, Health Communication, 28:3,248-259

3.Provan, K., Beagles, J., Mercken, L., and Leischow, S. 2012.Awareness of Evidence-Based Practices by Organizationsin a Publicly Funded Smoking Cessation Network. J Public Adm Res Theory. first published online April 19 2012 doi:10.1093/jopart/mus011

4.Provan, Keith G., Jonathan E. Beagles, and Scott J. Leischow. 2011. Network formation, governance, andevolution in public health: The North American Quitline Consortium case. Health Care Management Review 36:315–26.

NAQC’s KIQNIC Workgroup

Over 40 quitlines provided letters of support for this study when the proposal was submitted in 2006, and the research team takes pride in sharing ownership with NAQC. Because KIQNIC is a participatory research project, there were opportunities for quitlines and NAQC members to contribute at each step of the way, including participation on NAQC’s KIQNIC Workgroup. Workgroup members represented  the diversity of the quitline community and were responsible for providing feedback to the research team on survey design and content, the analysis of data and how best to communicate results to the field. We thank them for all of their input and work on this project!

Roster of workgroup members

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