Identifying specific transitions in smoking cessation for interventions
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Identifying Specific Transitions in Smoking Cessation for Interventions. Submitted by Yong Yi on behalf of the Tobacco Control Research Program and the LSU HCSD Research Program. TCI Program Logic. Based on PHS Clinical Guideline (see www.ahrq.gov/clinic/tobacco/5steps.htm).

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Identifying specific transitions in smoking cessation for interventions

Identifying Specific Transitions in Smoking Cessation for Interventions

Submitted by Yong Yi on behalf of the Tobacco Control Research Program and the LSU HCSD Research Program


Tci program logic
TCI Program Logic Interventions

Based on PHS Clinical Guideline(see www.ahrq.gov/clinic/tobacco/5steps.htm)

ASK:determine tobacco use status for every patient at every visit

Clinic responsibilities

ADVISE:advise to quit

ASSESS:assess readiness to make a quit attempt

ASSIST:provide assistance in quit attempt

TCI staff responsibilities

ARRANGE:follow-up contact and support


Non smoker /permanent quitters Interventions

recent relapsers

180-day sustained quitters

90-day sustained relapsers

90-day sustained quitters

180-day sustained relapsers

recent quitters

current smokers


Objective
Objective Interventions

  • Based on their past smoking history, classify patients into several relatively homogeneous groups with regard to their smoking habits and motivation to quit.

  • Identify transitions in the smoking cessation process that might be targeted by interventions.

  • Estimate the potential effect of a transition-targeted intervention on ultimate smoking prevalence within the LSU HCSD patient population.


LSU ICON Core Services utilized for project Interventions

  • Design & Analysis Core

    Who is working on project

  • Yong Yi

  • Sarah Moody-Thomas

  • Ronal Horswell


Plan of analysis
Plan of Analysis Interventions

  • June-July: Investigate the structure of the diagrams and state definitions such that model.

  • August-October: Estimate the transition probability, and carry out statistical inference on the effectiveness of intervention such as the frequency of screening and advising, selected evidence-based assistance, etc.

  • November-December: Estimate the impact of the intervention on each transition on the overall prevalence. Apply the model on sub-group of patients.


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