Evidence map›Paper›PMID 28698170›Full record

ArticleJMIR mHealth and uHealth2017

Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study.

Feng Cheng, Junfang Xu, Chunyan Su, Xiaoxing Fu, Jonathan Bricker

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Smoking Cessation Apps: A Systematic Review of Format, Outcomes, and Features.International journal of environmental research and public health · 2021
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  18. Tobacco and the lung cancer epidemic in China.Translational lung cancer research · 2019
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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

5 authors.

Feng ChengResearch Center for Public Health, School of Medicine, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-5599-460X
Junfang XuResearch Center for Public Health, School of Medicine, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-9133-8960
Chunyan SuSchool of Journalism and Communication, China Youth University of Political Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-7226-4860
Xiaoxing FuInstitute of Anthropology, Renmin University of China, Beijing, China.ORCID http://orcid.org/0000-0002-7370-4127
Jonathan BrickerDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.ORCID http://orcid.org/0000-0002-5694-8795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith 360 million smokers, China consumes more cigarettes than any other country in the world. Given that 620 million Chinese own smartphones, smartphone apps for smoking cessation are increasingly used in China to help smokers quit.

objectiveThis study analyzed and evaluated the contents of all smoking cessation apps (iOS and Android) available in China, applying the China Clinical Smoking Cessation Guideline (CCSCG; identical to the US Clinical Practice Guideline for Treating Tobacco Use and Dependence) as a framework for analysis.

methodsWe conducted a content analysis of Chinese Android and iOS smoking cessation apps (N=64) designed to assist users in quitting smoking. Each app was independently coded by two raters for its approach to smoking cessation and adherence to the CCSCG. We also recorded the features of smoking cessation apps (eg, release date, size, frequency of downloads, user ratings, type, quality scores by raters, and designers). Linear regression was used to test predictors of popularity and user-rated quality.

resultsChinese smoking cessation apps have low levels of adherence to guidelines, with an average score of 11.1 for Android and 14.6 for iOS apps on a scale of 0 to 46. There was no significant association between popularity, user rating, and the characteristics of apps. However, there was a positive relationship between popularity, user rating, and adherence score.

conclusionsChinese apps for smoking cessation have low levels of adherence to standard clinical practice guidelines. New apps need be developed and existing apps be revised following evidence-based principles in China.

Indexed as

Chinasmartphone appssmoking cessation

Identifiers

PMID28698170
PMCPMC5589410

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.