The Effectiveness of Tobacco Dependence Education in Health Professional Students’ Practice: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Hyndman, Kathryn; Schira, Rainer; Bradley, Jenifer; Chachula, Kathryn; Patterson, Steven; Compton, Sharon M.

doi:10.3390/ijerph16214158

Cited by 15 publications

(11 citation statements)

References 118 publications

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“…The inverse association between patient motivation and dental students' intention to provide TCC in the present study disagrees with Ching et al [28] and a systematic review [27] reporting that patients' lack of motivation was a barrier against their involvement in TCC. Motivating patients to quit smoking is a skill that can be developed in dental students using proper techniques such as motivational interviewing [38,39].…”

Section: Discussionmentioning

confidence: 99%

“…Dental schools are recommended to incorporate tobacco prevention and cessation intervention education into their curricula. Students can implement brief tobacco cessation counseling and can affect healthier patient outcomes [39]. As future licensed professionals, graduates will have knowledge, abilities and confidence to offer their patients brief TCC tailored to their specific health concerns and address an identified global health priority.…”

Section: Discussionmentioning

confidence: 99%

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Intention to provide tobacco cessation counseling among Indonesian dental students and association with the theory of planned behavior

et al. 2021

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Background Use of tobacco is a serious public health problem in Indonesia that requires a multidisciplinary approach by healthcare providers to address it. The study assessed the intentions of undergraduate students in dental schools to provide tobacco cessation counseling (TCC) and their association with the constructs of the theory of planned behavior (TPB). Methods A cross sectional study was conducted in October 2019 using an electronic survey for dental students in Indonesian dental schools (n = 30). The survey assessed schools and students’ characteristics and eleven statements assessed their perspectives toward TCC based on the TPB using a 5-point Likert scale. Principal component analysis (PCA) was used to identify components within the items of perspective. Multilevel linear regression analysis was used to assess the association between intention to provide TCC and the constructs of the TPB as identified in the perspectives’ items using TPB controlling for confounders. Results About 1288 students participated from 30 dental schools, 83.3% females with mean age = 21.5 years with average intention to provide TCC = 4.3 out of 5. They had above average positive attitude about provision of TCC being the dentist’s role (mean = 3.8 out of 5). PCA identified two components: confidence in their own abilities and perception of favorable environment with average scores = 3.2 and 2.7 out of 5. Intention to provide TCC was significantly associated with more positive attitude recognizing TCC as a dentist’s role (B = 0.10, P < 0.0001), greater confidence in skills to provide TCC (B = 0.17, P < 0.0001) and less perception of favorable environment supportive off providing TCC (B = − 0.20, P < 0.0001). Conclusions Indonesian dental students’ intention to provide TCC can be explained by the constructs of the TPB. Development of dental curricula promoting professional responsibility toward TCC should be given attention. Improving students’ attitude and confidence potentially may support their patients’ efforts to quit smoking.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Intention to provide tobacco cessation counseling among Indonesian dental students and association with the theory of planned behavior

et al. 2021

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“…Most tobacco users make multiple quit attempts of smoking over their lifetime and regret having started. Nevertheless, the immensely addictive nature of nicotine makes it hard to quit smoking dependence for most smokers without effective interventions [8,9]. Due to its complexity, many countries have been realizing to decrease tobacco consumption in the care of planning and implementing smoke-free ways.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Machine Learning Methods for Class Imbalance in a Smoking Cessation Intervention

et al. 2020

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Smoking is one of the major public health issues, which has a significant impact on premature death. In recent years, numerous decision support systems have been developed to deal with smoking cessation based on machine learning methods. However, the inevitable class imbalance is considered a major challenge in deploying such systems. In this paper, we study an empirical comparison of machine learning techniques to deal with the class imbalance problem in the prediction of smoking cessation intervention among the Korean population. For the class imbalance problem, the objective of this paper is to improve the prediction performance based on the utilization of synthetic oversampling techniques, which we called the synthetic minority over-sampling technique (SMOTE) and an adaptive synthetic (ADASYN). This has been achieved by the experimental design, which comprises three components. First, the selection of the best representative features is performed in two phases: the lasso method and multicollinearity analysis. Second, generate the newly balanced data utilizing SMOTE and ADASYN technique. Third, machine learning classifiers are applied to construct the prediction models among all subjects and each gender. In order to justify the effectiveness of the prediction models, the f-score, type I error, type II error, balanced accuracy and geometric mean indices are used. Comprehensive analysis demonstrates that Gradient Boosting Trees (GBT), Random Forest (RF) and multilayer perceptron neural network (MLP) classifiers achieved the best performances in all subjects and each gender when SMOTE and ADASYN were utilized. The SMOTE with GBT and RF models also provide feature importance scores that enhance the interpretability of the decision-support system. In addition, it is proven that the presented synthetic oversampling techniques with machine learning models outperformed baseline models in smoking cessation prediction.

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“…Sarna [12] proposed to conduct tobacco use control education in nursing students. Afterwards, lots of schools launched relative education among students including nursing and medical students [13][14][15] . Then some studies began to explore the effect of characteristics of courses on the conception and knowledge of students in helping smokers to quit [16] .…”

Section: Introductionmentioning

confidence: 99%

The study of the impact factors of behaviors of nursing intern students: PRECEDE-based structural equation modeling analysis

Zhang

Luo

Chen

2020

Preprint

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BackgroundTobacco hazard is known as one of the most critical public health problems. Nurses could and should help patients to quit smoking. However, the lack of tobacco cessation education of nurses at medical school leads to the absence of behaviors helping smokers to quit. The analysis of the factors that influencing the nursing interns to help smokers to quit provide evidence for nursing school to administer tobacco cessation education to facilitate more behaviors of smoking cessation in future nurses.ObjectTo explore the interaction and the effect coefficient among the influencing factors of the 5As behaviors of nursing interns in helping smokers to quit provide and to provide evidences for the tobacco cessation education. Method: Based on the PRECEDE theory, a questionnaire was developed with consideration of predisposing factor, enabling factor and reinforcing factor. Random Cluster Sampling was used to conduct a survey in 13 teaching hospitals selected from 29 in Chongqing to assess the 5As behaviors of all nursing interns. A structural equation model was established to test the path and effect coefficient of their 5As behaviors.ResultsThe survey investigated 1358 nurses, and the model fitted well with the data. The tobacco cessation education, one of the enabling factors, imposed max effect on the 5As of nursing interns directly（β=0.542，p<0.001） and indirectly（β=0.38，p<0.001）through self-efficacy. The reinforcing factors ( smoking cessation environment) imposed direct effect（β=0.305，p<0.001）and indirect effect on the 5As of nursing interns through attitude changes. Predisposing factors including self-efficacy influenced the 5As directly, while attitude（β=0.001，p<0.05）and knowledge（β=0.008，p<0.05）of tobacco cessation implied indirect influence on the 5As through self-efficacy change. ConclusionTobacco cessation education was the major factor that influenced the nursing interns’ behaviors of helping patients to quit smoking. Enhanced responsibility of smoking cessation education and skills training of clinical teachers can prompt them to actively help patients to quit smoking, actively instruct students the knowledge and skills of smoking quit to increase students' behavior of helping smokers to quit.

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The Effectiveness of Tobacco Dependence Education in Health Professional Students’ Practice: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Cited by 15 publications

References 118 publications

Intention to provide tobacco cessation counseling among Indonesian dental students and association with the theory of planned behavior

Intention to provide tobacco cessation counseling among Indonesian dental students and association with the theory of planned behavior

A Comparative Analysis of Machine Learning Methods for Class Imbalance in a Smoking Cessation Intervention

The study of the impact factors of behaviors of nursing intern students: PRECEDE-based structural equation modeling analysis

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