scholarly journals Tailored Versus Generic Knowledge Brokering to Integrate Mood Management Into Smoking Cessation Interventions in Primary Care Settings: Protocol for a Cluster Randomized Controlled Trial (Preprint)

2017 ◽  
Author(s):  
Nadia Minian ◽  
Aliya Noormohamed ◽  
Dolly Baliunas ◽  
Laurie Zawertailo ◽  
Carol Mulder ◽  
...  
Keyword(s):  
Primary Care ◽  
Smoking Cessation ◽  
Knowledge Translation ◽  
Controlled Trial ◽  
Family Health ◽  
Knowledge Broker ◽  
Mood Management ◽  
Primary Care Settings ◽  
Management Interventions ◽  
Cluster Randomized

BACKGROUND Both tobacco smoking and depression are major public health problems associated with high morbidity and mortality. In addition, individuals with depression are almost twice as likely to smoke and less likely to achieve smoking cessation. In the Smoking Treatment for Ontario Patients program, an established smoking cessation program in Ontario, Canada, 38% of smokers in primary care settings have current or past depression with 6-month quit rates that are significantly lower than those without depression (33% versus 40%, P<.001). Integrating self-help mood management (eg, relaxation exercises and mood monitoring) with smoking cessation treatment increases long-term quit rates by 12%-20%. However, integration in real-world settings has not been reported. It is unclear which knowledge translation strategy would be more effective for motivating clinicians to provide resources on mood management to eligible patients. OBJECTIVE The objectives of this study are to investigate the following comparisons among depressed smokers enrolled in a smoking cessation program: 1) the effectiveness of generalized, exclusively email-based prompts versus a personalized knowledge broker in implementing mood management interventions; 2) the effectiveness of the two knowledge translation strategies on smoking quit rates; and 3) the incremental costs of the two knowledge translation strategies on the implementation of mood management interventions. METHODS The study design is a cluster randomized controlled trial of Family Health Teams participating in the Smoking Treatment for Ontario Patients program. Family Health Teams will be randomly allocated 1:1 to receive either generalized messages (related to depression and smoking) exclusively via email (group A) or be assigned a knowledge broker who provides personalized support through phone- and email-based check-ins (group B). The primary outcome, measured at the site level, is the proportion of eligible baseline visits that result in the provision of the mood management intervention to eligible patients. RESULTS Recruitment for the primary outcome of this study will be completed in 2018/2019. Results will be reported in 2019/2020. CONCLUSIONS This study will address the knowledge gap in the implementation strategies (ie, email-based prompts versus a knowledge broker) of mood management interventions for smokers with depression in primary care settings. CLINICALTRIAL ClinicalTrials.gov NCT03130998; https://clinicaltrials.gov/ct2/show/NCT03130998 (Archived on WebCite at www.webcitation.org/6ylyS6RTe)

The role of a remote knowledge broker from an academic setting using an adaptive approach to implement evidence-based practice in primary care settings: A case study of integrating mood management interventions for treatment seeking tobacco users.

2020 ◽  
Author(s):  
Nadia Minian ◽  
Sheleza Ahad ◽  
Laurie Zawertailo ◽  
Arun Ravindran ◽  
Claire de Oliveira ◽  
...  
Keyword(s):  
Primary Care ◽  
Healthcare Providers ◽  
Family Health ◽  
Practice Change ◽  
Knowledge Broker ◽  
Local Context ◽  
Knowledge Brokering ◽  
Mood Management ◽  
Management Interventions

Abstract Background: Knowledge brokering is an emerging knowledge translation strategy used within healthcare to bridge the gap between evidence and practice. Reported studies indicate that the day-to-day role of a knowledge broker often involves in-person communication with frontline workers and decision makers. However, travelling to primary care sites can be cost- and resource-intensive and thus not feasible. In this paper, we describe the role and experience of a remote knowledge broker (rKB) working in an academic health sciences centre, delivering tailored one-on-one support to end-users using phone and email communications. Methods: A rKB was hired to support (n = 62) English-speaking Family Health Teams (FHTs) across Ontario with implementing mood management interventions as part of an existing smoking cessation program, the Smoking Treatment for Ontario Patients (STOP) program. We describe the eight categories of tasks performed by the rKB over a 12-month period, as well as their experience communicating via technology to develop relationships with healthcare providers (HCPs). Results: Sixty-one of the 62 FHTs (n = 73 HCPs) were provided rKB services. The total number of successful phone and email communications with the rKB ranged from 3-98 interactions over 12 months. Common barriers to implementation reported by FHTs were associated with the Inner and Outer Setting domains of the Consolidated Framework for Implementation Research (CFIR) and included lack of time, resources, and patient engagement. Conclusions: The role of the rKB involved building relationships with HCPs, identifying and helping to problem solve barriers, and building capacity in the field. Similar to traditional knowledge brokering, this analysis shows that developing a meaningful relationship between a remotely situated KB and HCPs could take anywhere between 1-6 months. Using implementation frameworks such as CFIR can help the rKB identify barriers and be ready to address them. In addition, hiring a rKB with previous engagements and knowledge of the local context may facilitate clinical practice change. Our future work will evaluate the cost-effectiveness of rKBs to inform its potential to be scaled up.

scholarly journals A referral aid for smoking cessation interventions in primary care: study protocol for a randomized controlled trial

2021 ◽  
Vol 22 ◽  
Author(s):  
Daniëlle N. Zijlstra ◽  
Jean W.M. Muris ◽  
Catherine Bolman ◽  
J. Mathis Elling ◽  
Vera E.R.A. Knapen ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Making ◽  
Smoking Cessation ◽  
Cost Effectiveness ◽  
Structural Equation ◽  
Controlled Trial ◽  
Linear Regression Analysis ◽  
Informed Decision ◽  
Equation Modeling ◽  
Informed Decision Making

Abstract Background: To expedite the use of evidence-based smoking cessation interventions (EBSCIs) in primary care and to thereby increase the number of successful quit attempts, a referral aid was developed. This aid aims to optimize the referral to and use of EBSCIs in primary care and to increase adherence to Dutch guidelines for smoking cessation. Methods: Practice nurses (PNs) will be randomly allocated to an experimental condition or control condition, and will then recruit smoking patients who show a willingness to quit smoking within six months. PNs allocated to the experimental condition will provide smoking cessation guidance in accordance with the referral aid. Patients from both conditions will receive questionnaires at baseline and after six months. Cessation effectiveness will be tested via multilevel logistic regression analyses. Multiple imputations as well as intention to treat analysis will be performed. Intervention appreciation and level of informed decision-making will be compared using analysis of (co)variance. Predictors for appreciation and informed decision-making will be assessed using multiple linear regression analysis and/or structural equation modeling. Finally, a cost-effectiveness study will be conducted. Discussion: This paper describes the study design for the development and evaluation of an information and decision tool to support PNs in their guidance of smoking patients and their referral to EBSCIs. The study aims to provide insight into the (cost) effectiveness of an intervention aimed at expediting the use of EBSCIs in primary care.

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