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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Apr 6, 2020
Date Accepted: Jun 30, 2020

The final, peer-reviewed published version of this preprint can be found here:

Impact of a Web-Based Clinical Decision Support System to Assist Practitioners in Addressing Physical Activity and/or Healthy Eating for Smoking Cessation Treatment: Protocol for a Hybrid Type I Randomized Controlled Trial

Minian N, Lingam M, Moineddin R, Thorpe KE, Veldhuizen S, Dragonetti R, Zawertailo L, Taylor V, Hahn M, DeRuiter WK, Melamed O, Selby P

Impact of a Web-Based Clinical Decision Support System to Assist Practitioners in Addressing Physical Activity and/or Healthy Eating for Smoking Cessation Treatment: Protocol for a Hybrid Type I Randomized Controlled Trial

JMIR Res Protoc 2020;9(9):e19157

DOI: 10.2196/19157

PMID: 32990250

PMCID: 7556369

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Impact of a Clinical Decision Support System to Assist Practitioners in Addressing Physical Activity And/or Healthy Eating as a Part of Smoking Cessation Treatment: A Hybrid Type I Randomized Control Trial.

  • Nadia Minian; 
  • Mathangee Lingam; 
  • Rahim Moineddin; 
  • Kevin E. Thorpe; 
  • Scott Veldhuizen; 
  • Rosa Dragonetti; 
  • Laurie Zawertailo; 
  • Valerie Taylor; 
  • Margaret Hahn; 
  • Wayne K. DeRuiter; 
  • Osnat Melamed; 
  • Peter Selby

ABSTRACT

Background:

Modifiable risk factors, such as tobacco use, physical inactivity, and poor nutrition, account for a significant proportion of the preventable deaths in Canada. Given this association, smoking cessation programs appear to be well-suited for integration of health promotion activities for other modifiable risk factors. The Smoking for Ontario Patients program, is a province-wide smoking cessation program that currently encourages practitioners to deliver Screening, Brief Intervention, and Referral to Treatment for patients who are experiencing depressive symptoms and/or consume excessive amounts of alcohol via web-enabled clinical decision support system. However, there is no built clinical decision support system for physical inactivity and poor diet, which are among the leading modifiable risk factors for chronic diseases.

Objective:

This study aims to assess whether adding a computerized/ web enabled clinical decision support system for physical activity and diet to a smoking cessation program affects smoking cessation outcomes.

Methods:

The study uses an effectiveness/implementation hybrid type 1 design. This design was chosen as it allows for simultaneous testing of the intervention, its delivery in target settings, and the potential for implementation in real-world situations. Intervention effectiveness will be measured using a two-arm randomized control trial. The evaluation of implementation will be guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework.

Results:

Recruitment for the primary outcome of this study will be completed in November 2020. Results will be reported in March 2021.

Conclusions:

The findings of the study will provide much needed insight into whether adding a computerized/ web enabled CDSSS for physical activity and diet to a smoking cessation program affects smoking cessation outcome. If these risk factors can be addressed simultaneously, it could have significant positive effects on cancer prevention. Clinical Trial: ClinicalTrails.gov NCT04223336


 Citation

Please cite as:

Minian N, Lingam M, Moineddin R, Thorpe KE, Veldhuizen S, Dragonetti R, Zawertailo L, Taylor V, Hahn M, DeRuiter WK, Melamed O, Selby P

Impact of a Web-Based Clinical Decision Support System to Assist Practitioners in Addressing Physical Activity and/or Healthy Eating for Smoking Cessation Treatment: Protocol for a Hybrid Type I Randomized Controlled Trial

JMIR Res Protoc 2020;9(9):e19157

DOI: 10.2196/19157

PMID: 32990250

PMCID: 7556369

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