scholarly journals The effect of a clinical decision support system on prompting an intervention for risky alcohol use in a primary care smoking cessation program: a cluster randomized trial

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Nadia Minian ◽  
Dolly Baliunas ◽  
Aliya Noormohamed ◽  
Laurie Zawertailo ◽  
Norman Giesbrecht ◽  
...  
Author(s):  
Nadia Minian ◽  
Anna Ivanova ◽  
Sabrina Voci ◽  
Scott Veldhuizen ◽  
Laurie Zawertailo ◽  
...  

Although brief alcohol intervention can reduce alcohol use for both men and women, health care providers (HCPs) are less likely to discuss alcohol use or deliver brief intervention to women compared to men. This secondary analysis examined whether previously reported outcomes from a cluster randomized trial of a clinical decision support system (CDSS)—prompting delivery of a brief alcohol intervention (an educational alcohol resource) for patients drinking above cancer guidelines—were moderated by patients’ sex. Patients (n = 5702) enrolled in a smoking cessation program at primary care sites across Ontario, Canada, were randomized to either the intervention (CDSS) or control arm (no CDSS). Logistic generalized estimating equations models were fit for the primary and secondary outcome (HCP offer of resource and patient acceptance of resource, respectively). Previously reported results showed no difference between treatment arms in HCP offers of an educational alcohol resource to eligible patients, but there was increased acceptance of the alcohol resource among patients in the intervention arm. The results of this study showed that these CDSS intervention effects were not moderated by sex, and this can help inform the development of a scalable strategy to overcome gender disparities in alcohol intervention seen in other studies.


Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 859-P
Author(s):  
JAY R. DESAI ◽  
A. LAUREN CRAIN ◽  
DANIEL SAMAN ◽  
JOANN M. SPERL-HILLEN ◽  
CLAYTON ALLEN ◽  
...  

2015 ◽  
Vol 15 (4) ◽  
pp. 145-151 ◽  
Author(s):  
Stefanie L. Russell ◽  
Ariel Port Greenblatt ◽  
Danni Gomes ◽  
Shirley Birenz ◽  
Cynthia A. Golembeski ◽  
...  

10.2196/19157 ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. e19157
Author(s):  
Nadia Minian ◽  
Mathangee Lingam ◽  
Rahim Moineddin ◽  
Kevin E Thorpe ◽  
Scott Veldhuizen ◽  
...  

Background Modifiable risk factors such as tobacco use, physical inactivity, and poor diet account for a significant proportion of the preventable deaths in Canada. These factors are also known to cluster together, thereby compounding the risks of morbidity and mortality. Given this association, smoking cessation programs appear to be well-suited for integration of health promotion activities for other modifiable risk factors. The Smoking Treatment for Ontario Patients (STOP) 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 or consume excessive amounts of alcohol via a web-enabled clinical decision support system. However, there is no available clinical decision support system for physical inactivity and poor diet, which are among the leading modifiable risk factors for chronic diseases. Objective The aim of this study is 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 This study is designed as a hybrid type 1 effectiveness/implementation randomized controlled trial to evaluate a web-enabled clinical decision support system for supporting practitioners in addressing patients’ physical activity and diet as part of smoking cessation treatment in a primary care setting. 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 controlled trial. Health care practitioners will be unblinded to their patients’ treatment allocation; however, patients will be blinded to whether their practitioner receives the clinical decision support system for physical activity and/or fruit/vegetable consumption. 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 is ongoing and 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 clinical decision support system for physical activity and diet to a smoking cessation program affects smoking cessation outcome. Furthermore, the implementation evaluation would provide insight into the feasibility of online-based interventions for physical activity and diet in a smoking cessation program. Addressing these risk factors simultaneously could have significant positive effects on chronic disease and cancer prevention. Trial Registration ClinicalTrials.gov NCT04223336; https://clinicaltrials.gov/ct2/show/NCT04223336 International Registered Report Identifier (IRRID) DERR1-10.2196/19157


2016 ◽  
Vol 18 (4) ◽  
pp. 258-263 ◽  
Author(s):  
Júnia Xavier Maia ◽  
Lidiane Aparecida Pereira de Sousa ◽  
Milena Soriano Marcolino ◽  
Clareci Silva Cardoso ◽  
José Luiz Padilha da Silva ◽  
...  

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