Globally, tobacco use continues to be a major health care concern. Despite strong recommendations to quit smoking, tobacco users are experiencing difficulties in quitting. The purpose of this integrative review is to discuss self-efficacy theory as an important behavioral therapy for treating tobacco use and nicotine dependence. Moreover, the paper proposes a literaturederived model that employs self-efficacy as a central component for treating tobacco use and nicotine dependence. Eleven relevant articles were included in this review. Self-efficacy has an important role in smoking cessation. Improving self-efficacy enhances the individual's success in quitting tobacco use and preventing relapse. Moreover, incorporating self-efficacy as a cognitive behavioral intervention has shown various degrees of success for treating tobacco use and nicotine dependence. In order to offer guidance to health care providers assisting in quitting tobacco, a model that integrates self-efficacy as a central component of the quitting process is proposed.
Background: The use of mobile health applications (apps) is an effective strategy in supporting patients' self-management of heart failure (HF) in home settings, but it remains unclear whether they can be used to reduce sedentary behaviors and increase overall physical activity levels. Aim: The aims of this study were to determine the effect of an 8-week home-based mobile health app intervention on physical activity levels and to assess its effects on symptom burden and health-related quality of life. Method: In this study, we collected repeated-measures data from 132 participants with HF (60.8 ± 10. 47 years) randomized into a usual care group (n = 67) or an 8-week home-based mobile health app intervention group (n = 65). The intervention was tailored to decrease the time spent in sedentary behavior and to increase the time spent in physical activities performed at light or greater intensity levels. Physical activity levels were monitored for 2 weeks before the intervention and during the 8-week intervention using the Samsung mobile health app. Heart failure symptom burden and health-related quality of life were assessed at baseline, 2 weeks from baseline assessment, and immediately post intervention. Results: At week 8, all participants in the intervention group demonstrated an increase in the average daily step counts above the preintervention counts (range of increase: 2351-7925 steps/d). Only 29 participants (45%) achieved an average daily step count of 10000 or higher by week 6 and maintained their achievement to week 8 of the intervention. Repeated-measures analysis of variance showed a significant group-by-time interaction, indicating that the intervention group had a greater improvement in physical activity levels, symptom burden, and health-related quality of life than the usual care group. Conclusion: Home-based mobile health app-based interventions can increase physical activity levels and can play an important role in promoting better HF outcomes.
The purposes of this study were to describe the decision making process and decision activities of critical care nurses in natural clinical settings. An exploratory descriptive approach utilizing both interview and observation methods, was used for data collection. The study involved twenty four critical care nurses from three hospitals in Jordan. Participant observation was performed to understand the routine clinical decisions made by Intensive Care nurses. About 150 hours of observations were spent in the involved Intensive Care Units. Nurses were interviewed to elicit information about how they made decisions about patient's care. The study revealed that the most common model nurses tend to use was intuitive model in order to observe the cues relating to the patient's situation. Data revealed that the decision making process is continuous and that experience is one of the main factors that determine nurses' ability to take decisions. Five themes were generated from the data: on-going process, autonomy, experience/power, joint/ethical decisions, and advocacy. Critical care nurses were seen to be sensitive to the patient's verbal and non-verbal cues; they were able to respond to these evidences to ensure that the patient's condition did not deteriorate. Critical care nurses are likely to be more confident and effective when dealing with patient's changing situations with more experience.
We hypothesized that risk factors for cardiovascular disease (CVD) would be associated with worse health perceptions in prison inmates. This study included 362 inmates recruited from four medium security prisons in Kentucky. Framingham Risk Score was used to estimate the risk of developing CVD within the next 10 years. A single item on self-rated health from the Medical Outcomes Survey-Short Form 36 was used to measure health perception. Multinomial logistic regression showed that for every 1-unit increase in Framingham Risk Score, inmates were 23% more likely to have rated their health as fair/poor and 11% more likely to rate their health as good rather than very good/excellent. These findings demonstrate that worse health perceptions may serve as a starting point for discussing cardiovascular risk factors and prevention with inmates.
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