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1.
Front Public Health ; 8: 221, 2020.
Article in English | MEDLINE | ID: mdl-32596200

ABSTRACT

Tobacco cessation after cancer diagnosis leads to better patient outcomes. However, tobacco treatment services are frequently unavailable in cancer care settings, and multilevel implementation challenges can impede uptake of new programs. The National Cancer Institute (NCI) dedicated Cancer Moonshot funding through the Cancer Center Cessation Initiative (C3I) for NCI-Designated Cancer Centers to implement or enhance the implementation of tobacco treatment services. We examined a pragmatic application of the RE-AIM framework (reach, effectiveness, adoption, implementation, and maintenance) to evaluate tobacco treatment programs implemented within Cancer Centers funded through C3I. Using three C3I-funded Centers as examples, we describe how each RE-AIM construct was operationalized to evaluate the implementation of a wide range of cessation services (e.g., tobacco use screening, counseling, Quitline referral, pharmacotherapy) in this heterogeneous group of cancer care settings. We discuss the practical challenges encountered in assessing RE-AIM constructs in real world situations, including using the electronic health record (EHR) to aid in assessment. Reach and effectiveness evaluation required that Centers define the setting(s) where cessation services were implemented (to determine the "denominator"), enumerate the patient population, report current patient tobacco use, patient engagement in tobacco treatment, and 6-month cessation outcomes. To reduce site heterogeneity, increase data accuracy, and reduce burden, reach was frequently captured via standardized EHR enhancements that improved the identification of current smokers and tobacco treatment referrals. Effectiveness was determined by cessation outcomes (30-day point prevalence abstinence at 6-months post-engagement) assessed through a variety of data collection approaches. Adoption was measured by the characteristics and proportion of targeted cancer care settings and clinicians engaged in cessation service delivery. Implementation was assessed by examining the delivery of tobacco screening assessments and intervention components across sites, and provider-level implementation consistency. Maintenance assessments identified whether tobacco treatment services continued in the setting after implementation and documented the sustainability plan and organizational commitment to continued delivery. In sum, this paper demonstrates a pragmatic approach to using RE-AIM as an evaluation framework that yields relevant outcomes on common implementation metrics across widely differing tobacco treatment approaches and settings.


Subject(s)
Neoplasms , Smoking Cessation , Tobacco Use Cessation , Tobacco Use Disorder , Humans , National Cancer Institute (U.S.) , Smokers , United States
2.
J Dual Diagn ; 16(3): 285-291, 2020.
Article in English | MEDLINE | ID: mdl-32393117

ABSTRACT

Objective: Approaches for effectively treating smoking in those with posttraumatic stress disorder (PTSD) and with major depressive disorder (MDD) could be improved by identifying motivational processes underlying their tobacco dependence. The goal of this study was to identify the motivational processes influencing smoking dependence among smokers with PTSD and with MDD relative to non-diagnosed controls. Methods: Participants were United States (US) veterans who smoked daily (N = 162) and met DSM-IV criteria for either PTSD (n = 52), MDD (n = 52), or no current psychiatric disorder (controls; n = 58). Smoking dependence motives were assessed via the Brief Wisconsin Inventory for Smoking Dependence Motives (Brief WISDM). The 11 Brief WISDM subscales are categorized into two major factors: Primary Dependence Motives and Secondary Dependence Motives. Results: Smokers with PTSD scored higher than non-diagnosed controls on the following Primary Dependence Motives subscales: Automaticity, Craving, and Tolerance (all p-values <.05). Smokers with PTSD, relative to controls, also scored higher on the overall Secondary Dependence Motives subscale, and on five of the seven Secondary Dependence Motives subscales: Cue Exposure/Associative Processes, Affective Enhancement, Affiliative Attachment, Cognitive Enhancement, and Weight Control (all p-values < .05). Smokers with MDD scored significantly higher than controls on one Primary Dependence Motives subscale: Craving and on four of seven Secondary Dependence Motives subscales: Affective Enhancement, Affiliative Attachment, Cognitive Enhancement, and Weight Control (all p-values <.05). Finally, exploratory analyses directly contrasting the PTSD group with the MDD group showed that smokers with PTSD were higher than those with MDD in the overall Secondary Dependence Motives subscale and one of the seven Secondary Dependence Motives subscales: Cue Exposure/Associative Processes (all p-values < .05). Conclusions: Results suggest that both Primary Dependence Motives and Secondary Dependence Motives play a meaningful role in motivation to use tobacco in smokers with PTSD; smoking dependence in those with MDD may be primarily influenced by Secondary Dependence Motives.


Subject(s)
Depressive Disorder, Major/psychology , Motivation , Smoking/psychology , Stress Disorders, Post-Traumatic/psychology , Tobacco Use Disorder/psychology , Adult , Depressive Disorder, Major/epidemiology , Humans , Male , Middle Aged , Motivation/physiology , Psychiatric Status Rating Scales , Smoking/epidemiology , Stress Disorders, Post-Traumatic/epidemiology , Tobacco Use Disorder/epidemiology , United States/epidemiology , Veterans/statistics & numerical data
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