Effectiveness of decision aids on smoking cessation in adult patients: a systematic review protocol.

JBI Database System Rev Implement Rep

College of Health Professions, Pace University, New York, USA.

Published: December 2017

The objective of this review is to determine the effectiveness of the use of decision aids in a shared decision-making encounter between any healthcare provider and adult patients who smoke, compared to standard education on smoking cessation, in any healthcare setting.Specifically, the review questions are: What is the effectiveness of the use of decision aids in a shared decision-making encounter in any healthcare setting between the healthcare provider and adult patients who smoke compared to standard education, based on the patient's.

Download full-text PDF

Source
http://dx.doi.org/10.11124/JBISRIR-2017-003445DOI Listing

Publication Analysis

Top Keywords

effectiveness decision
12
decision aids
12
adult patients
12
smoking cessation
8
aids shared
8
shared decision-making
8
decision-making encounter
8
encounter healthcare
8
healthcare provider
8
provider adult
8

Similar Publications

Moving beyond word frequency based on tally counting: AI-generated familiarity estimates of words and phrases are an interesting additional index of language knowledge.

Behav Res Methods

December 2024

ETSI de Telecomunicación, Universidad Politécnica de Madrid, Avenida Complutense, 30, 28040, Madrid, Spain.

This study investigates the potential of large language models (LLMs) to estimate the familiarity of words and multi-word expressions (MWEs). We validated LLM estimates for isolated words using existing human familiarity ratings and found strong correlations. LLM familiarity estimates performed even better in predicting lexical decision and naming performance in megastudies than the best available word frequency measures.

View Article and Find Full Text PDF

To develop and validate a nomogram for predicting the risk of adverse events (intraoperative massive haemorrhage or retained products of conception) associated with the termination of Caesarean scar pregnancy (CSP). Data were retrospectively collected from patients diagnosed with CSP who underwent Dilation and Curettage (D&C) at two hospitals. This data was divided into internal and external cohorts for analysis.

View Article and Find Full Text PDF

Despite being largely spoken and studied by language and cognitive scientists, Italian lacks large resources of language processing data. The Italian Crowdsourcing Project (ICP) is a dataset of word recognition times and accuracy including responses to 130,465 words, which makes it the largest dataset of its kind item-wise. The data were collected in an online word knowledge task in which over 156,000 native speakers of Italian took part.

View Article and Find Full Text PDF

EEG-based emotion recognition using multi-scale dynamic CNN and gated transformer.

Sci Rep

December 2024

School of Electronic Information and Electrical Engineering, Yangtze University, Jingzhou, 434100, Hubei, China.

Emotions play a crucial role in human thoughts, cognitive processes, and decision-making. EEG has become a widely utilized tool in emotion recognition due to its high temporal resolution, real-time monitoring capabilities, portability, and cost-effectiveness. In this paper, we propose a novel end-to-end emotion recognition method from EEG signals, called MSDCGTNet, which is based on the Multi-Scale Dynamic 1D CNN and the Gated Transformer.

View Article and Find Full Text PDF

There is a lack of an effective prognostic model for predicting outcomes in patients with primary pulmonary hypertension (PPH). A retrospective analysis was conducted on PPH patients from MIMIC and eICU databases. A predictive model was developed to assess mortality risk.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!