RESEARCH PAPER
Fidelity monitoring across the seven studies in the Consortium of Hospitals Advancing Research on Tobacco (CHART)
 
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1
Ohio State University, College of Nursing, Columbus, USA
2
VA Center for Clinical Management Research, HSR&D Center of Excellence, Ann Arbor, USA
3
Department of Family Medicine and Public Health, University of California, La Jolla, USA
4
Kaiser Permanente Center for Health Research, Portland, USA
5
Division of Pulmonary Medicine, University of Alabama at Birmingham, Birmingham, USA
6
Moores Cancer Center, University of California, La Jolla, USA
7
Department of Population Health, New York University School of Medicine, New York, USA
8
Department of Preventive Medicine and Public Health, University of Kansas Medical Center, Kansas City, USA
9
Department of Medicine, Vanderbilt University School of Medicine, Nashville, USA
10
University of Michigan, Internal Medicine, Brehm Tower, Ann Arbor, USA
CORRESPONDING AUTHOR
Sonia A. Duffy   

Ohio State University, College of Nursing, Newton Hall, 1585 Neil Ave, Columbus, OH 43210, USA
Publish date: 2015-09-03
 
Tobacco Induced Diseases 2015;13(September):29
KEYWORDS
ABSTRACT
Background:
This paper describes fidelity monitoring (treatment differentiation, training, delivery, receipt and enactment) across the seven National Institutes of Health-supported Consortium of Hospitals Advancing Research on Tobacco (CHART) studies. The objectives of the study were to describe approaches to monitoring fidelity including treatment differentiation (lack of crossover), provider training, provider delivery of treatment, patient receipt of treatment, and patient enactment (behavior) and provide examples of application of these principles.

Methods:
Conducted between 2010 and 2014 and collectively enrolling over 9500 inpatient cigarette smokers, the CHART studies tested different smoking cessation interventions (counseling, medications, and follow-up calls) shown to be efficacious in Cochrane Collaborative Reviews. The CHART studies compared their unique treatment arm(s) to usual care, used common core measures at baseline and 6-month follow-up, but varied in their approaches to monitoring the fidelity with which the interventions were implemented.

Results:
Treatment differentiation strategies included the use of a quasi-experimental design and monitoring of both the intervention and control group. Almost all of the studies had extensive training for personnel and used a checklist to monitor the intervention components, but the items on these checklists varied widely and were based on unique aspects of the interventions, US Public Health Service and Joint Commission smoking cessation standards, or counselor rapport. Delivery of medications ranged from 31 to 100 % across the studies, with higher levels from studies that gave away free medications and lower levels from studies that sought to obtain prescriptions for the patient in real world systems. Treatment delivery was highest among those studies that used automated (interactive voice response and website) systems, but this did not automatically translate into treatment receipt and enactment. Some studies measured treatment enactment in two ways (e.g., counselor or automated system report versus patient report) showing concurrence or discordance between the two measures.

Conclusions:
While fidelity monitoring can be challenging especially in dissemination trials, the seven CHART studies used a variety of methods to enhance fidelity with consideration for feasibility and sustainability.

 
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