Expanding Cessation Pharmacotherapy Via Videoconference Educational Outreach to Prescribers

Brunette, Mary F.; Dzebisashvili, Nino; Xie, Haiyi; Akerman, Sarah C.; Ferron, Joelle C.; Bartels, Stephen J.

doi:10.1093/ntr/ntv006

Cited by 13 publications

(15 citation statements)

References 46 publications

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“…For example, newly starting a low-risk antipsychotic may be easier than switching some one to a high risk agent. Similarly, in a previous study of academic detailing with audit and feedback for smoking cessation pharmacotherapy, we found an increase in prescriptions of nicotine replacement therapy (38). Adding metformin to antipsychotic treatment may be a cardiometabolic side effect risk-mitigating strategy(39) that is easier to influence.…”

Section: Discussionsupporting

confidence: 74%

Use of Academic Detailing With Audit and Feedback to Improve Antipsychotic Pharmacotherapy

Brunette

Cotes

Nesnera

et al. 2018

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Section: Discussionsupporting

confidence: 74%

Use of Academic Detailing With Audit and Feedback to Improve Antipsychotic Pharmacotherapy

Brunette

Cotes

Nesnera

et al. 2018

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“…35 Academic detailing through strategies such as videoconference can be used to educate providers on smoking cessation treatment options and use. 36 Nearly half of all adult health center patients with SMI in our study reported current cigarette use, and SMI was an independent predictor of current smoking. The 2009 Health Center Patient Survey similarly found that 56% of adults with severe mental illness as defined by a Kessler 6 score of ≥ 13 reported current smoking, 18 and overall, these prevalence rates are consistent with those from other nationally representative 12 and non-nationally representative samples of adults with SMI.…”

Section: Discussionmentioning

confidence: 52%

Cigarette Smoking and Quitting-Related Factors Among US Adult Health Center Patients with Serious Mental Illness

et al. 2019

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INTRODUCTION: US adults with serious mental illness (SMI), compared to those without SMI, have a higher prevalence of smoking, which contributes to a shorter life expectancy. This study compared current smoking and quitting-related characteristics of low-income US adults with and without SMI who received healthcare at federally funded health centers. METHODS: Using cross-sectional data from adults ≥ 18 years old in the nationally representative 2014 Health Center Patient Survey (n = 5592), we compared the prevalence of ever and current smoking among adults with and without SMI and calculated quit ratios as the percentage of ever smokers who have quit smoking. We examined the association between SMI and receiving advice to quit, making quit attempts, and having plans to quit in the next 30 days using multivariable logistic regression. RESULTS: A total of 1376 (23%) of participants had SMI. Ever smoking prevalence was 68% in adults with SMI and 41% in adults without SMI, and current smoking prevalence was 48% and 22%, respectively. The quit ratio was 30% and 46% among participants with and without SMI, respectively. Compared to smokers without SMI, more smokers with SMI reported receiving advice to quit in the past 12 months (aOR 2.47, 95% CI 1.20-5.07). Smokers with and without SMI did not differ significantly in their odds of having made a past-12-month quit attempt or plans to quit. CONCLUSIONS: Smokers with SMI seen in federally funded health centers were just as likely to have made a quit attempt and to have plans to quit as smokers without SMI. Despite a higher likelihood of receiving clinician advice to quit, the lower quit ratio in this population suggests that advice alone is unlikely to be sufficient. These results underscore the need for augmented strategies to promote smoking cessation and reduce the excess burden of tobacco-related disease in patients with SMI. KEY WORDS: smoking cessation; mental health; vulnerable populations. J Gen Intern Med 34(6):986-91

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“…Furthermore, 1 study reported no difference in postintervention practice and behavior change between 2 modalities of digital education [35]. Similarly, no difference was observed between digital education compared with usual learning in another study [26,36]. No numerical data were reported for these 2 studies to be included in the quantitative analysis.…”

Section: Resultsmentioning

confidence: 99%

Digital Education for Health Professions on Smoking Cessation Management: Systematic Review by the Digital Health Education Collaboration

Semwal¹,

Whiting²,

Bajpai³

et al. 2019

J Med Internet Res

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BackgroundTobacco smoking, one of the leading causes of preventable death and disease, is associated with 7 million deaths every year. This is estimated to rise to more than 8 million deaths per year by 2030, with 80% occurring in low- and middle-income countries. Digital education, teaching, and learning using digital technologies have the potential to increase educational opportunities, supplement teaching activities, and decrease distance barriers in health professions education.ObjectiveThe primary objective of this systematic review was to evaluate the effectiveness of digital education compared with various controls in improving learners’ knowledge, skills, attitudes, and satisfaction to deliver smoking cessation therapy. The secondary objectives were to assess patient-related outcomes, change in health professionals’ practice or behavior, self-efficacy or self-rated competence of health professionals in delivering smoking cessation therapy, and cost-effectiveness of the interventions.MethodsWe searched 7 electronic databases and 2 trial registers for randomized controlled trials published between January 1990 and August 2017. We used gold standard Cochrane methods to select and extract data and appraise eligible studies.ResultsA total of 11 studies (number of participants, n=2684) were included in the review. All studies found that digital education was at least as effective as traditional or usual learning. There was some suggestion that blended education results in similar or greater improvements in knowledge (standardized mean difference, SMD=0.19, 95% CI −0.35 to 0.72), skill (SMD=0.58, 95% CI 0.08-1.08), and satisfaction (SMD=0.62, 95% CI 0.12-1.12) compared with digital education or usual learning alone. There was also some evidence for improved attitude (SMD=0.45, 95% CI 0.18-0.72) following digital education compared with usual learning. Only 1 study reported patient outcomes and the setup cost of blended education but did not compare outcomes among groups. There were insufficient data to investigate what components of the digital education interventions were associated with the greatest improvements in learning outcomes.ConclusionsThe evidence suggests that digital education is at least as effective as usual learning in improving health professionals’ knowledge and skill for delivering smoking cessation therapy. However, limitations in the evidence base mean that these conclusions should be interpreted with some caution.Trial RegistrationPROSPERO CRD42016046815; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=46815

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Expanding Cessation Pharmacotherapy Via Videoconference Educational Outreach to Prescribers

Cited by 13 publications

References 46 publications

Use of Academic Detailing With Audit and Feedback to Improve Antipsychotic Pharmacotherapy

Use of Academic Detailing With Audit and Feedback to Improve Antipsychotic Pharmacotherapy

Cigarette Smoking and Quitting-Related Factors Among US Adult Health Center Patients with Serious Mental Illness

Digital Education for Health Professions on Smoking Cessation Management: Systematic Review by the Digital Health Education Collaboration

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