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Comparing different intensities of active referral to smoking cessation services in promoting smoking cessation among community smokers: a study protocol of a cluster randomized controlled trial

Overview of attention for article published in BMC Public Health, July 2018
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

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blogs
1 blog

Citations

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6 Dimensions

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52 Mendeley
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Title
Comparing different intensities of active referral to smoking cessation services in promoting smoking cessation among community smokers: a study protocol of a cluster randomized controlled trial
Published in
BMC Public Health, July 2018
DOI 10.1186/s12889-018-5782-1
Pubmed ID
Authors

Xue Weng, Man Ping Wang, Yi Nam Suen, William Ho Cheung Li, Yongda Wu, Derek Yee Tak Cheung, Antonio Cho Shing Kwong, Vienna Wai Yin Lai, Sophia Siu Chee Chan, Tai Hing Lam

Abstract

Actively referring smokers to smoking cessation (SC) services could increase quitting and is scalable for the population. The objective of this study is to compare 2 different intensities of SC active referral for smokers in the community of Hong Kong. This is a single-blind, parallel 3-armed cluster randomized controlled trial (cRCT) consisting of high-intensity SC active referral (HAR Group), low-intensity SC referral by text messaging on promoting SC services use (Text Group) and a control group receives general very brief advice. Biochemically validated daily smokers will be proactively recruited in the community from 68 clusters (recruitment sessions). The primary outcome is self-reported 7-days point prevalence abstinence (PPA) at the 3- and 6- month follow-ups. Secondary outcomes are SC service use, smoking reduction rate (SRR, daily cigarette consumption reduced by ≥50%; excluding quitters) and biochemically validated quit rate (exhaled CO < 4 ppm and salivary cotinine < 10 ng/ml). Outcome assessors and data analysts will be blinded to group allocation. Intention-to-treat principle and Generalized Estimating Equation (GEE) regressions will be used for data analysis. This will be the first trial on evaluating the efficacy of the 2 different intensities of SC active referral on smoking cessation in community smokers. It is anticipated that the results from this trial can provide evidence to the effectiveness of high-intensity active referral to SC services and low intensity SC referral by using text messaging in achieving smoking abstinence. ClinicalTrials.gov Identifier: NCT02804880 , June 17, 2016.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 10%
Student > Bachelor 5 10%
Researcher 4 8%
Lecturer 2 4%
Unspecified 2 4%
Other 8 15%
Unknown 26 50%
Readers by discipline Count As %
Medicine and Dentistry 6 12%
Psychology 5 10%
Nursing and Health Professions 5 10%
Unspecified 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 10%
Unknown 28 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 July 2018.
All research outputs
#5,829,891
of 23,094,276 outputs
Outputs from BMC Public Health
#5,831
of 15,059 outputs
Outputs of similar age
#99,916
of 328,026 outputs
Outputs of similar age from BMC Public Health
#184
of 334 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 15,059 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,026 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 334 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.