The importance of practitioner smoking status: a survey of NHS Stop Smoking Service practitioners

Clinical encounters about obesity: Systematic review of patients' perspectives

Guidelines recommend clinicians intervene on obesity but it is unclear how people with overweight react. In this systematic review, we searched 20 online databases for qualitative studies interviewing people with overweight or obesity who had consulted a primary care clinician. Framework synthesis was used to analyse 21 studies to produce a new theoretical understanding. Consultations in which patients discussed their weight were more infrequent than patients would have liked, which some perceived was because they were unworthy of medical time; others that it indicated doctors feel being overweight is not a serious risk. Patients reported that doctors offered banal advice assuming that the patient ate unhealthily or was not trying to address their weight. Patients reported doctors assumed that their symptoms were due to overweight without a proper history or examination, creating concern that serious illness may be missed. Patients responded positively to offers of support for weight loss and active monitoring of weight. Patients with overweight internalize weight stigma sensitizing them to clues that clinicians are judging them negatively, even if weight is not discussed. Patients' negative experiences in consultations relate to perceived snap judgements and flippant advice and negative experiences appear more salient than positive ones.

Altered signature of apoptotic endothelial cell-derived microvesicles predicts chronic heart failure phenotypes

Aim: to evaluate the associations between signatures of apoptotic endothelial cell-derived microvesicles (MVs) with phenotypes of chronic heart failure (HF). Methods: The study cohort consisted of 388 prospectively involved subjects with HF patients with predominantly reduced left ventricular ejection fraction (HFrEF), HF with preserved ejection fraction (HFpEF) and HF with mid-range ejection fraction (HFmrEF). All biomarkers were measured at baseline. Results: The number of circulating CD31+/annexin V+ MVs in HFrEF and HFmrEF patients was similar. The number of circulating CD144+/annexin V+ MVs in HFrEF patients was significantly higher than HFmrEF and HFpEF. We determined that a combination of number of circulating CD31+/annexin V+ MVs and Gal-3 was the best predictor of HFpEF and that number of circulating CD144+/annexin V+ MVs is able to increase predictive capabilities of soluble ST2 (sST2) and Gal-3 for HFrEF. Conclusion: We found that the number of circulating CD31+/annexin V+ MVs may improve a predictive capacity for conventional HF biomarkers.

Adaptation, Implementation Plan, and Evaluation of an Online Tobacco Cessation Training Program for Health Care Professionals in Three Spanish-Speaking Latin American Countries: Protocol of the Fruitful Study

BACKGROUND

Tobacco cessation training programs to treat tobacco dependence have measureable effects on patients' smoking. Tobacco consumption in low- and middle-income countries (LMICs) is high and slowly decreasing, but these countries usually lack measures to face the epidemic, including tobacco cessation training programs for health professionals and organizations. Based on a previous online smoking cessation training program for hospital workers in Spain, the Fruitful Study aims to increase smoking cessation knowledge, attitudes, self-confidence, and performance interventions among health care professionals of three Spanish-speaking low- and middle-income Latin American and Caribbean (LAC) countries.

OBJECTIVE

The purpose of this paper is to describe the methodology and evaluation strategy of the Fruitful Study intended to adapt, implement, and test the effectiveness of an online, evidence-based tobacco cessation training program addressed to health professionals from Bolivia, Guatemala, and Paraguay.

METHODS

This study will use a mixed-methods design with a pre-post evaluation (quantitative approach) and in-depth interviews and focus groups (qualitative approach). The main outcomes will be (1) participants' attitudes, knowledge, and behaviors before and after the training; and (2) the level of implementation of tobacco control policies within the hospitals before and after the training.

RESULTS

To date, adaptation of the materials, study enrollment, and training activities have been completed. During the adaptation, the main mismatches were language background and content adaptation. Several aids were developed to enable students' training enrollment, including access to computers, support from technicians, and reminders to correctly complete the course. Follow-up data collection is in progress. We have enrolled 281 hospital workers. Results are expected at the beginning of 2017 and will be reported in two follow-up papers: one about the formative evaluation and the other about the summative evaluation.

CONCLUSIONS

There is a need to learn more about the cultural and content elements that should be modified when an online tobacco cessation training program is adapted to new contexts. Special attention should be given to the personal and material resources that could make the implementation possible. Results from the Fruitful Study may offer a new approach to adapting programs to LMICs in order to offer education solutions with the use of emerging and growing communication technologies.

CLINICALTRIAL

Clinicaltrials.gov NCT02718872; https://clinicaltrials.gov/ct2/show/NCT02718872 (Archived by WebCite at http://www.webcitation.org/6mjihsgE2).

Proportion of Time Spent Delivering Support Predicts Stop Smoking Advisor Quit Rate Independently of Training, Experience, and Education

Despite a downwards trend in smoking prevalence, smoking remains the UK's biggest preventable cause of premature mortality. Specialist stop smoking support programmes provided by the NHS have helped to reduce smoking prevalence and whilst there has been a vast amount of research investigating the most effective behavioural and pharmacological support models, little is known about the impact of smoking cessation advisor's smoking status and clinical effectiveness on quit rates. This study aimed to identify factors that contribute to NHS stop smoking advisor performance using a quantitative cross-sectional design via an online survey that was completed by 159 participants in 24 London boroughs. Multiple regression analyses revealed that level of training, years practiced, level of advisor education, number of patients supported in a given year, and smoking status had no significant impact on NHS stop smoking advisor quit rate in this sample. However, the model revealed that proportion of time spent delivering smoking cessation support was significantly associated with quit rate. It is imperative that this finding is considered when recruiting, commissioning, and training new smoking cessation advisors or provider organisations.