A content analysis of free smoking cessation mobile applications in the USA

被引:7
作者
Lee, JuHan [1 ]
Dallery, Jesse [2 ]
Laracuente, Antonio [3 ]
Ibe, Ifeoma [4 ]
Joseph, Samantha [4 ]
Huo, Jinhai [5 ]
Salloum, Ramzi G. [3 ]
机构
[1] Univ Florida, Coll Hlth & Human Performance, Dept Hlth Educ & Behav, Gainesville, FL USA
[2] Univ Florida, Dept Psychol, Coll Liberal Arts & Sci, Gainesville, FL 32611 USA
[3] Univ Florida, Coll Med, Dept Hlth Outcomes & Biomed Informat, Gainesville, FL 32611 USA
[4] Florida A&M Univ, Tallahassee, FL 32307 USA
[5] Univ Florida, Coll Publ Hlth & Hlth Profess, Dept Hlth Serv Res Management & Policy, Gainesville, FL USA
关键词
Mobile application; smoking cessation; SMARTPHONE APPLICATIONS; RANDOMIZED-TRIAL; UNITED-STATES; HEALTH; APPS; PREDICTORS; ENGAGEMENT; GUIDELINE; QUALITY; RELAPSE;
D O I
10.1017/jsc.2019.6
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Aims. To evaluate the quality and content of free smoking cessation apps and assess their adherence to the US Public Health Service guideline for treating tobacco use and dependence. Methods. In total 180 apps were downloaded from the App Store and Google Play Store in January 2018; the top-ranking 30 apps were retrieved for the search terms: 'smoking cessation', 'quit smoking', 'stop smoking'. Technical quality was rated using the Mobile Application Rating Scale (MARS) and by assessing other characteristics, behavioral change strategies and adherence to the 5As. Results/findings. A total 67 free-to-download apps were identified for full review (n = 40 from the Apple App Store and n = 27 from the Google Play Store). The average MARS score was 16.2/19.0: Engagement (3.3/5.0), Functionality (4.4/5.0), Aesthetics (4.0/5.0), and Information (2.6/5.0). Overall, 43 apps allowed sharing, 12 allowed for an app community, and five required a password. The following features were observed: assessment (n = 51), feedback (n = 38), information/education (n = 45), monitoring (n = 52), and goal setting (n = 23). Significant differences were found among apps adhering to the 5As: Ask (n = 44), Advise (n = 54), Assess (n = 30), Assist (n = 62), and Arrange (n = 0). Conclusions. Given the growth in smoking cessation apps, future efforts should focus on improving their technical quality and adherence to the 5As.
引用
收藏
页码:195 / 202
页数:8
相关论文
共 37 条
[11]   Randomized, controlled pilot trial of a smartphone app for smoking cessation using acceptance and commitment therapy [J].
Bricker, Jonathan B. ;
Mull, Kristin E. ;
Kientz, Julie A. ;
Vilardaga, Roger ;
Mercer, Laina D. ;
Akioka, Katrina J. ;
Heffner, Jaimee L. .
DRUG AND ALCOHOL DEPENDENCE, 2014, 143 :87-94
[12]   Randomized Trial of a Smartphone Mobile Application Compared to Text Messaging to Support Smoking Cessation [J].
Buller, David B. ;
Borland, Ron ;
Bettinghaus, Erwin P. ;
Shane, James H. ;
Zimmerman, Donald E. .
TELEMEDICINE AND E-HEALTH, 2014, 20 (03) :206-214
[13]   Harnessing Context Sensing to Develop a Mobile Intervention for Depression [J].
Burns, Michelle Nicole ;
Begale, Mark ;
Duffecy, Jennifer ;
Gergle, Darren ;
Karr, Chris J. ;
Giangrande, Emily ;
Mohr, David C. .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2011, 13 (03) :e55
[14]   Content Analysis of Smartphone Apps for Smoking Cessation in China: Empirical Study [J].
Cheng, Feng ;
Xu, Junfang ;
Su, Chunyan ;
Fu, Xiaoxing ;
Bricker, Jonathan .
JMIR MHEALTH AND UHEALTH, 2017, 5 (07)
[15]   Smoking Cessation Apps for Smartphones: Content Analysis With the Self-Determination Theory [J].
Choi, Jounghwa ;
Noh, Ghee-Young ;
Park, Dong-Jin .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2014, 16 (02)
[16]  
Ferron Joelle C, 2017, JMIR Hum Factors, V4, pe7, DOI 10.2196/humanfactors.5933
[17]   A Clinical Practice Guideline for Treating Tobacco Use and Dependence: 2008 Update - A US Public Health Service report [J].
Fiore, Michael C. ;
Jaen, Carlos Roberto ;
Baker, Timothy B. ;
Bailey, William C. ;
Bennett, Glenn ;
Benowitz, Neal L. ;
Christiansen, Bruce A. ;
Connell, Michael ;
Curry, Susan J. ;
Dorfman, Sally Faith ;
Fraser, David ;
Froelicher, Erika S. ;
Goldstein, Michael G. ;
Hasselblad, Victor ;
Healton, Cheryl G. ;
Heishman, Stephen ;
Henderson, Patricia Nez ;
Heyman, Richard B. ;
Husten, Corinne ;
Koh, Howard K. ;
Kottke, Thomas E. ;
Lando, Harry A. ;
Leitzke, Cathlyn ;
Mecklenburg, Robert E. ;
Mermelstein, Robin J. ;
Morgan, Glen ;
Mullen, Patricia Dolan ;
Murray, Ernestine W. ;
Orleans, C. Tracy ;
Piper, Megan E. ;
Robinson, Lawrence ;
Stitzer, Maxine L. ;
Theobald, Wendy ;
Tommasello, Anthony C. ;
Villejo, Louise ;
Wewers, Mary Ellen ;
Williams, Christine .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2008, 35 (02) :158-176
[18]   Probability and predictors of relapse to smoking: Results of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) [J].
Garcia-Rodriguez, Olaya ;
Secades-Villa, Roberto ;
Florez-Salamanca, Ludwing ;
Okuda, Mayumi ;
Liu, Shang-Min ;
Blanco, Carlos .
DRUG AND ALCOHOL DEPENDENCE, 2013, 132 (03) :479-485
[19]   A systematic review of smartphone applications for smoking cessation [J].
Haskins, Brianna L. ;
Lesperance, Donna ;
Gibbons, Patric ;
Boudreaux, Edwin D. .
TRANSLATIONAL BEHAVIORAL MEDICINE, 2017, 7 (02) :292-299
[20]   A Preliminary Investigation of a Relapse Prevention Mobile Application to Maintain Smoking Abstinence Among Individuals With Posttraumatic Stress Disorder [J].
Hicks, Terrell A. ;
Thomas, Shaun P. ;
Wilson, Sarah M. ;
Calhoun, Patrick S. ;
Kuhn, Eric R. ;
Beckham, Jean C. .
JOURNAL OF DUAL DIAGNOSIS, 2017, 13 (01) :15-20