Evidence map›Paper›PMID 29890766›Full record

ArticleInternational journal of environmental research and public health2018

Factors Correlated with Success Rate of Outpatient Smoking Cessation Services in Taiwan.

Wei-Hsin Huang, Hsin-Yin Hsu, Betty Chia-Chen Chang, Fong-Ching Chang

Registry-linked trialAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05374629 (Exploring of the Effectiveness of the Shared-decision Making Education to the Patient With COPD), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05374629 nacompletednot on this mapstarted 2020, after this paper: background citation

Exploring of the Effectiveness of the Shared-decision Making Education to the Patient With COPD: the Randomized-controlled Study

TypeinterventionalSponsorCathay General HospitalRan2020 to 2022Enrolled88ConditionsCopd, Smoking Cessation, Psychological DependenceArmsUse different methods of teaching
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  11. Smoking Cessation Rate and Its Predictors among Heavy Smokers in a Smoking-Free Hospital in Taiwan.International journal of environmental research and public health · 2021
    Article
  12. Article
  13. Development of Machine Learning Models for Prediction of Smoking Cessation Outcome.International journal of environmental research and public health · 2021
    Article
  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wei-Hsin HuangDepartment of Family Medicine, Mackay Memorial Hospital, Taipei 106, Taiwan. whh.5881@mmh.org.tw.ORCID 0000-0002-6708-577X
Hsin-Yin HsuDepartment of Family Medicine, Mackay Memorial Hospital, Taipei 106, Taiwan. camelhsu@gmail.com.
Betty Chia-Chen ChangDepartment of Family Medicine, Mackay Memorial Hospital, Taipei 106, Taiwan. betty905@gmail.com.
Fong-Ching ChangDepartment of Health Promotion and Health Education, National Taiwan Normal University, Taipei 106, Taiwan. fongchingchang@ntnu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoking is the leading cause of preventable death. The purpose of this study was to explore the patient’s and physician’s factors that are correlated with smoking cessation success rate. A total of 877 smokers who visited the outpatient smoking cessation services at a medical center in Northern Taiwan were recruited for the study. Phone interviews were carried out six months after the initial visit to evaluate the success rate of smoking cessation. The result showed that the abstinence rate at six-month was 37.7%. By the multivariate logistic regression model, the predictive factors of abstinence were smokers who had a lower Fagerström test for cigarette dependence (FTCD), lower exhaled carbon monoxide (CO) concentration, or who smoked less than 20 cigarettes per day at the first visit. Smokers who had more than one smoking cessation outpatient visit or seen by physicians who, on average, delivered more than one smoking cessation consultations per week also led to a higher success rate. Therefore, we suggest that physicians should put more efforts and encourage follow-up visits for some smokers by knowing their characteristics at the first visit. Furthermore, physicians with more experience in smoking cessation consultation seemed to be more likely to help patients to quit smoking successfully.

Indexed as

Ambulatory CareSmokingSmoking CessationAdultFemaleHealth PromotionHumansLogistic ModelsMaleMiddle AgedOutpatientsReferral and ConsultationTaiwanoutpatient smoking cessation servicesmoking cessationsuccess rate

Identifiers

PMID29890766
PMCPMC6025172

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.