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

BACKGROUND: With 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. OBJECTIVE: This study analyzed and evaluated the conten...

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Autores principales: Cheng, Feng, Xu, Junfang, Su, Chunyan, Fu, Xiaoxing, Bricker, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589410/
https://www.ncbi.nlm.nih.gov/pubmed/28698170
http://dx.doi.org/10.2196/mhealth.7462
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author Cheng, Feng
Xu, Junfang
Su, Chunyan
Fu, Xiaoxing
Bricker, Jonathan
author_facet Cheng, Feng
Xu, Junfang
Su, Chunyan
Fu, Xiaoxing
Bricker, Jonathan
author_sort Cheng, Feng
collection PubMed
description BACKGROUND: With 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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: Chinese 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. CONCLUSIONS: Chinese 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.
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spelling pubmed-55894102017-09-13 Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study Cheng, Feng Xu, Junfang Su, Chunyan Fu, Xiaoxing Bricker, Jonathan JMIR Mhealth Uhealth Original Paper BACKGROUND: With 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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: Chinese 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. CONCLUSIONS: Chinese 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. JMIR Publications 2017-07-11 /pmc/articles/PMC5589410/ /pubmed/28698170 http://dx.doi.org/10.2196/mhealth.7462 Text en ©Feng Cheng, Junfang Xu, Chunyan Su, Xiaoxing Fu, Jonathan Bricker. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 11.07.2017. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Cheng, Feng
Xu, Junfang
Su, Chunyan
Fu, Xiaoxing
Bricker, Jonathan
Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study
title Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study
title_full Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study
title_fullStr Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study
title_full_unstemmed Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study
title_short Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study
title_sort content analysis of smartphone apps for smoking cessation in china: empirical study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589410/
https://www.ncbi.nlm.nih.gov/pubmed/28698170
http://dx.doi.org/10.2196/mhealth.7462
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