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      Who Uses Smoking Cessation Apps? A Feasibility Study Across Three Countries via Smartphones

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          Abstract

          Background

          Smartphone use is growing worldwide. While hundreds of smoking cessation apps are currently available in the app stores, there is no information about who uses them. Smartphones also offer potential as a research tool, but this has not previously been explored.

          Objective

          This study aims to measure and compare the uptake of a smoking cessation app over one year in Australia, the United Kingdom, and the United States. It also assesses the feasibility of conducting research via an app, describing respondents’ characteristics (demographics, smoking status, and other health related app use), and examining differences across countries.

          Methods

          This is a cross-sectional exploratory study of adults 18 years and older, passively recruited over one year in 2012, who downloaded this study app (Quit Advisor) via the two largest app stores (Apple and Android).

          Results

          The total number of app downloads after one year was 1751, 72.98% (1278/1751) of them were Apple operation system users. Of these 1751 participants, 47.68% (835/1751) were from the United States, 29.18% (511/1751) were from the United Kingdom, and 16.68% (292/1751) were from Australia. There were 602 participants, 36.75% (602/1638) that completed a questionnaire within the app. Of these 602 participants, 58.8% (354/602) were female and the mean age was 32 years. There were no significant differences between countries in terms of age, operation system used, number of quitting attempts, and language spoken at home. However, there were significant differences between countries in terms of gender and stage of change. There were 77.2% (465/602) of the respondents that were ready to quit in the next 30 days and the majority of these had never sought professional help (eg, “Quitline”). More than half had downloaded smoking cessation apps in the past and of these, three-quarters had made quitting attempts (lasted at least 24 hours) using an app before. Respondents who had attempted to quit three times or more in the previous year were more likely to have tried smoking cessation apps (OR 3.3, 95% CI 2.1-5.2). There were 50.2% (302/602) of the respondents that had used other health related apps before. Of these, 89.4% (270/302) were using health related apps at least once a week, but 77.5% (234/302) never checked the credibility of the health app publishers before downloading.

          Conclusions

          A smartphone app was able to reach smokers across three countries that were not seeking professional help, but were ready to quit within the next 30 days. Respondents were relatively young and almost demographically similar across all three countries. They also frequently used other health related apps, mostly without checking the credibility of their publishers.

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          Most cited references35

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          The process of smoking cessation: an analysis of precontemplation, contemplation, and preparation stages of change.

          Traditionally smoking cessation studies use smoker and nonsmoker categories almost exclusively to represent individuals quitting smoking. This study tested the transtheoretical model of change that posits a series of stages through which smokers move as they successfully change the smoking habit. Subjects in precontemplation (n = 166), contemplation (n = 794), and preparation (n = 506) stages of change were compared on smoking history, 10 processes of change, pretest self-efficacy, and decisional balance, as well as 1-month and 6-month cessation activity. Results strongly support the stages of change model. All groups were similar on smoking history but differed dramatically on current cessation activity. Stage differences predicted attempts to quit smoking and cessation success at 1- and 6-month follow-up. Implications for recruitment, intervention, and research are discussed.
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            Smartphone applications for pain management.

            Smartphone applications (or apps) are becoming increasingly popular. The lack of regulation or guidance for health-related apps means that the validity and reliability of their content is unknown. We have conducted a review of available apps relating to the generic condition of pain. The official application stores for five major smartphone platforms were searched: iPhone, Android, Blackberry, Nokia/Symbian and Windows Mobile. Apps were included if they reported a focus on pain education, management or relief, and were not solely aimed at health-care professionals (HCPs). A total of 111 apps met the inclusion criteria. The majority of apps reviewed claimed some information provision or electronic manual component. Diary tracking of pain variables was also a common feature. There was a low level of stated HCP involvement in app development and content. Despite an increasing number of apps being released, the frequency of HCP involvement is not increasing. Pain apps appear to be able to promise pain relief without any concern for the effectiveness of the product, or for possible adverse effects of product use. In a population often desperate for a solution to distressing and debilitating pain conditions, there is considerable risk of individuals being misled.
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              Smartphone apps as a source of cancer information: changing trends in health information-seeking behavior.

              There is an increased interest in smartphone applications as a tool for delivery of health-care information. There have been no studies which evaluated the availability and content of cancer-related smartphone applications. This study aims to identify and analyze cancer-related applications available on the Apple iTunes platform. The Apple iTunes store was searched for cancer-related smartphone applications on July 29, 2011. The content of the applications was analyzed for cost, type of information, validity, and involvement of health-care agencies. A total of 77 relevant applications were identified. There were 24.6 % apps uploaded by health-care agencies, and 36 % of the apps were aimed at health-care workers. Among the apps, 55.8 % provided scientifically validated data. The difference in scientific validity between the apps aimed at general population versus health-care professionals was statistically significant (P < 0.01). Seventy-nine percent of the apps uploaded by health-care agencies were found to be backed by scientific data. There is lack of cancer-related applications with scientifically backed data. There is a need to improve the accountability and reliability of cancer-related smartphone applications and encourage participation by health-care agencies to ensure patient safety.
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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications Inc. (Toronto, Canada )
                2291-5222
                Jan-Mar 2014
                06 February 2014
                : 2
                : 1
                : e4
                Affiliations
                [1] 1Sydney Medical School Department of Public Health University of Sydney SydneyAustralia
                [2] 2Public Health and Health Informatics school College of Health Sciences Saudi Electronic University RiyadhSaudi Arabia
                Author notes
                Corresponding Author: Nasser F BinDhim nbin6641@ 123456uni.sydney.edu.au
                Author information
                http://orcid.org/0000-0001-8117-1044
                Article
                v2i1e4
                10.2196/mhealth.2841
                4114511
                25098439
                448b3d23-b8ab-4b7a-b9c0-6841446f9189
                ©Nasser F BinDhim, Kevin McGeechan, Lyndal Trevena. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 06.02.2014.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0/), 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.

                History
                : 23 July 2013
                : 19 September 2013
                : 24 October 2013
                : 05 December 2013
                Categories
                Original Paper
                Original Paper

                smartphone,handheld computers,health promotion,tobacco and smoking,global health,prevention,apps,health informatics,public health

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