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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMU</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Mhealth Uhealth</journal-id>
      <journal-title>JMIR mHealth and uHealth</journal-title>
      <issn pub-type="epub">2291-5222</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
    <article-id pub-id-type="publisher-id">v6i2e18</article-id>
    <article-id pub-id-type="pmid">29439946</article-id>
    <article-id pub-id-type="doi">10.2196/mhealth.6832</article-id>
    <article-categories>
      <subj-group subj-group-type="heading">
        <subject>Review</subject>
      </subj-group>
      <subj-group subj-group-type="article-type">
        <subject>Review</subject>
      </subj-group>
    </article-categories>
    <title-group>
      <article-title>Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review</article-title>
    </title-group>
    <contrib-group>
      <contrib contrib-type="editor">
        <name>
          <surname>Eysenbach</surname>
          <given-names>Gunther</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Panicker</surname>
          <given-names>Leena</given-names>
        </name>
      </contrib>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Dooley</surname>
          <given-names>Barbara</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="author" id="contrib1" corresp="yes" equal-contrib="yes">
      <name name-style="western">
        <surname>Choo</surname>
        <given-names>Carol C</given-names>
      </name>
      <degrees>DPsych (Clin)</degrees>
      <xref rid="aff1" ref-type="aff">1</xref>
      <address>
        <institution>College of Healthcare Sciences</institution>
        <institution>James Cook University</institution>
        <addr-line>149 Sims Drive</addr-line>
        <addr-line>Singapore, 387380</addr-line>
        <country>Singapore</country>
        <phone>65 67093760</phone>
        <fax>65 67093889</fax>
        <email>carol.choo@jcu.edu.au</email>
      </address>  
      <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-7868-5757</ext-link></contrib>
      <contrib contrib-type="author" id="contrib2">
        <name name-style="western">
          <surname>Burton</surname>
          <given-names>André A D</given-names>
        </name>
        <degrees>MCouns</degrees>
        <xref rid="aff2" ref-type="aff">2</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-7410-9565</ext-link>
      </contrib>
    </contrib-group>
    <aff id="aff1">
    <sup>1</sup>
    <institution>College of Healthcare Sciences</institution>
    <institution>James Cook University</institution>  
    <addr-line>Singapore</addr-line>
    <country>Singapore</country></aff>
    <aff id="aff2">
    <sup>2</sup>
    <institution>School of Psychology</institution>
    <institution>Murdoch University</institution>  
    <addr-line>Perth</addr-line>
    <country>Australia</country></aff>
    <author-notes>
      <corresp>Corresponding Author: Carol C Choo 
      <email>carol.choo@jcu.edu.au</email></corresp>
    </author-notes>
    <pub-date pub-type="collection"><month>02</month><year>2018</year></pub-date>
    <pub-date pub-type="epub">
      <day>13</day>
      <month>02</month>
      <year>2018</year>
    </pub-date>
    <volume>6</volume>
    <issue>2</issue>
    <elocation-id>e18</elocation-id>
    <!--history from ojs - api-xml-->
    <history>
      <date date-type="received">
        <day>17</day>
        <month>10</month>
        <year>2016</year>
      </date>
      <date date-type="rev-request">
        <day>21</day>
        <month>1</month>
        <year>2017</year>
      </date>
      <date date-type="rev-recd">
        <day>7</day>
        <month>6</month>
        <year>2017</year>
      </date>
      <date date-type="accepted">
        <day>9</day>
        <month>10</month>
        <year>2017</year>
      </date>
    </history>
    <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
    <copyright-statement>©Carol C Choo, André A D Burton. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 13.02.2018.</copyright-statement>
    <copyright-year>2018</copyright-year>
    <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
      <p>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.</p>
    </license>  
    <self-uri xlink:href="https://mhealth.jmir.org/2018/2/e18/" xlink:type="simple"/>
    <abstract>
      <sec sec-type="background">
        <title>Background</title>
        <p>The mobile technology era has ushered in the use of mobile phone apps for behavioral intervention for at-risk drinkers.</p>
      </sec>
      <sec sec-type="objective">
        <title>Objective</title>
        <p>Our objective was to review recent research relevant to mobile phone apps that can be used for behavioral intervention for at-risk drinkers in Australia.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <p>The inclusion criteria for this review were articles published in peer-reviewed journals from 2001 to 2017 with use of the search terms “smartphone application,” “alcohol,” “substance,” “behavioural intervention,” “electronic health,” and “mobile health.”</p>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>In total, we identified 103 abstracts, screened 90 articles, and assessed 50 full-text articles that fit the inclusion criteria for eligibility. We included 19 articles in this review.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusions</title>
        <p>This review highlighted the paucity of evidence-based and empirically validated research into effective mobile phone apps that can be used for behavioral interventions with at-risk drinkers in Australia.</p>
      </sec>
    </abstract>
    <kwd-group>
      <kwd>problem drinking</kwd>
      <kwd>alcohol drinking</kwd>
      <kwd>eHealth</kwd>
      <kwd>telemedicine</kwd>
      <kwd>smartphone</kwd>
      <kwd>mobile applications</kwd>
      <kwd>behavioral intervention</kwd>
      <kwd>risk reduction behavior</kwd>
      <kwd>review</kwd>
    </kwd-group></article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>In Australia, alcohol is a common substance of dependence for which individuals seek treatment [<xref ref-type="bibr" rid="ref1">1</xref>]. Reducing the risk of alcohol-related harm is important in Australia, with a government that takes a harm minimization approach [<xref ref-type="bibr" rid="ref2">2</xref>-<xref ref-type="bibr" rid="ref4">4</xref>]. The preferred approach for alcohol interventions in Australia has been to prevent the adverse consequences associated with alcohol consumption rather than banning drinking altogether [<xref ref-type="bibr" rid="ref5">5</xref>]. Psychological interventions informed by the stages of change model [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>], as well as therapeutic techniques from motivational interviewing [<xref ref-type="bibr" rid="ref8">8</xref>], cognitive behavioral approaches [<xref ref-type="bibr" rid="ref9">9</xref>], and self-management strategies [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref10">10</xref>], hold promise to change problematic behaviors [<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref11">11</xref>] and address adverse consequences related to drinking [<xref ref-type="bibr" rid="ref12">12</xref>].</p>
      <p>In recent decades, the advent of mobile phone technology has transformed the mode of delivery of psychological treatment [<xref ref-type="bibr" rid="ref13">13</xref>]. Through promotion of the accessibility of interventions via mobile phone apps, alcohol dependence interventions may be enhanced and the adverse consequences of risky drinking may be reduced [<xref ref-type="bibr" rid="ref6">6</xref>]. The demand for electronic health apps across Australia and the world is mirroring larger societal trends wherein consumer acceptance of technology has grown [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref15">15</xref>]. Community interest has increased in Australia regarding the use of mobile phone apps to address substance abuse [<xref ref-type="bibr" rid="ref16">16</xref>], health monitoring, and self-management [<xref ref-type="bibr" rid="ref17">17</xref>]. Some clinics in Australia have implemented conjunctive treatment modalities in guided programs such as cognitive behavioral therapy and psychoeducation apps alongside face-to-face therapy sessions [<xref ref-type="bibr" rid="ref17">17</xref>]; for example, the DBT Diary Card &#38; Skills Coach [<xref ref-type="bibr" rid="ref18">18</xref>] was designed as an adjunctive tool to therapy for individuals recovering from substance abuse. However, research examining its effectiveness lacked conclusive evidence due to the lack of distinction made between the different types of substance use [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>].</p>
      <p>Our aim was to review research relating to the evidence for mobile phone apps that can be used for behavioral intervention for at-risk drinkers in Australia.</p>
      <p>The literature positions mobile phone apps under the umbrella of mobile health and its subcategory electronic health, which is defined as health care practice supported by electronic processes and communication [<xref ref-type="bibr" rid="ref21">21</xref>]. For this review, smartphone refers to a mobile phone that performs many of the functions of a computer. This typically includes having a touchscreen interface, Internet access, and an operating system capable of running downloaded apps. A mobile app is a computer program designed to run on mobile devices such as smartphones and tablet computers. It allows for third parties to design software and apps that can then be downloaded by the user at their discretion.</p>
      <p>At-risk drinker is defined as a heavy drinker who consumes 5 or more drinks on the same occasion on each of 5 days or more in the past 30 days [<xref ref-type="bibr" rid="ref22">22</xref>]. In contrast to a binge drinker, who has a pattern of drinking that brings blood alcohol concentrations up rapidly after consuming alcohol in one go, an at-risk drinker displays consistency in their heavy drinking levels.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <p>The inclusion criteria for this review were publication in peer-reviewed journals from 2001 to 2017 with use of the search terms “smartphone application,” “alcohol,” “substance,” “behavioural intervention,” “electronic health,” and “mobile health.” The databases we searched were PsycINFO, Scopus, Google Scholar, and PubMed.</p>
      <p>We initially used the PsycINFO database to identify peer-reviewed articles with the inclusion criteria named above; this yielded 11 results. The Scopus database search yielded 19 articles. We then conducted hand searches: a backward search using the reference lists of relevant articles and a forward search that checked publications from authors who had cited these relevant articles. The backward and forward searches generated 11 more articles. The focus was on recently published articles in peer-reviewed journals that fit the inclusion criteria and were relevant to a mobile phone app that could be used for behavioral intervention for at-risk drinkers in Australia.</p>
      <p>We retrieved articles if they related to interventions provided via a mobile phone app for at-risk drinkers. The strategy for evaluating eligibility for inclusion involved the following: recent articles that contained original work published in peer-reviewed journals after the year 2001; and articles related to use of a mobile phone app by clinicians for therapeutic purposes. We excluded articles that did not refer to the use of mobile phone apps by clinicians for therapeutic purposes.</p>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>A total of 103 articles satisfied all inclusion criteria in the original search across all the databases. Of the original 103 search results, we screened 90 articles, after which we assessed 50 full-text articles against the inclusion and exclusion criteria, and then deemed 19 of these to be suitable for inclusion in this review [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref23">23</xref>-<xref ref-type="bibr" rid="ref40">40</xref>]. <xref ref-type="app" rid="app1">Multimedia Appendix 1</xref> presents the results of the review.</p>
      <p>Overall, the articles show a lack of convincing evidence of effective mobile phone apps that can be used for behavioral intervention for at-risk drinkers in Australia. Randomized controlled trials did not yield significant results on the primary outcome [<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref24">24</xref>]. Other studies were limited by small sample sizes [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref>] or only reviewed mobile phone apps [<xref ref-type="bibr" rid="ref27">27</xref>] and did not specifically address our research question [<xref ref-type="bibr" rid="ref17">17</xref>] of whether the mobile phone app was effective for behavioral intervention for at-risk drinkers in Australia. Although qualitative studies are not typically included in a systematic review, we decided to include these in our table (<xref ref-type="app" rid="app1">Multimedia Appendix 1</xref>) to illustrate the state of research in Australia, that convincing evidence is still lacking. A study in Australia conducted by Weaver and colleagues [<xref ref-type="bibr" rid="ref26">26</xref>] reviewed available mobile phone apps and then used a qualitative methodology of focus groups, which offers preliminary exploration. However, it does not offer evidence for their use within the demographic group most at risk for developing alcohol problems in Australia, namely men aged 20 to 29 years and indigenous youths [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref41">41</xref>], who often develop dysfunctional drinking habits that maintain their dependence [<xref ref-type="bibr" rid="ref42">42</xref>]. Risky drinking in younger demographics is known to be a risk factor for suicidality [<xref ref-type="bibr" rid="ref43">43</xref>] and other adverse mental health outcomes.</p>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>As younger demographics are more likely to access online information relating to mental health problems [<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref46">46</xref>], mobile technologies can enhance patient-centered care for youths and young adults in an increasingly technology-savvy society [<xref ref-type="bibr" rid="ref28">28</xref>], highlighting a growing need to offer electronic interventions as an adjunctive tool to face-to-face therapy [<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref48">48</xref>]. Evidence for the use of mobile phone apps has been demonstrated in many other areas [<xref ref-type="bibr" rid="ref49">49</xref>-<xref ref-type="bibr" rid="ref54">54</xref>] but not for at-risk drinking in Australia. Internet-based interventions have been found to be efficacious for mental health issues [<xref ref-type="bibr" rid="ref3">3</xref>] in young adults [<xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref55">55</xref>]. Behavioral monitoring apps have been used for mental health interventions [<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref56">56</xref>] in addition to face-to-face therapy. Positive outcomes were shown in overall motivation [<xref ref-type="bibr" rid="ref57">57</xref>], and in maintaining and reinforcing behavioral changes [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref57">57</xref>,<xref ref-type="bibr" rid="ref58">58</xref>]. These apps show promise for use with ethnically diverse and low-income populations [<xref ref-type="bibr" rid="ref59">59</xref>] to enhance support [<xref ref-type="bibr" rid="ref17">17</xref>], help them to cope, and aid in recovery [<xref ref-type="bibr" rid="ref60">60</xref>,<xref ref-type="bibr" rid="ref61">61</xref>]. Behavioral data can be quantified into graphs [<xref ref-type="bibr" rid="ref56">56</xref>] and used by clinicians [<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref62">62</xref>]. However, youths view apps as a form of entertainment rather than therapeutic tools [<xref ref-type="bibr" rid="ref26">26</xref>]. The focus could be shifted with an emphasis on behavioral modification instead [<xref ref-type="bibr" rid="ref63">63</xref>] and apps could be used as an adjunctive tool to complement face-to-face therapy delivered by qualified health professionals [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref64">64</xref>]. More research is needed to support the effectiveness of such apps for use with indigenous youths and young adults in Australia.</p>
      <p>Mobile phone interventions have been used for drinking problems in a few clinics in the United States [<xref ref-type="bibr" rid="ref29">29</xref>] but with less compelling evidence for clinics in Australia. Behavioral monitoring apps are being used for digital behavior change interventions that provide goal setting and behavior monitoring [<xref ref-type="bibr" rid="ref30">30</xref>], which also allow for triggers to be detected. The AlcoDroid Alcohol Tracker [<xref ref-type="bibr" rid="ref65">65</xref>] allows for tracking alcohol consumption, as does the Alcohol Tracker [<xref ref-type="bibr" rid="ref66">66</xref>]. Most of these apps are based on simple features that estimate the amount of alcohol in the blood [<xref ref-type="bibr" rid="ref67">67</xref>-<xref ref-type="bibr" rid="ref70">70</xref>], which could be used to set specific drinking targets but do not constitute the most important element for the monitoring of risky drinking [<xref ref-type="bibr" rid="ref26">26</xref>].</p>
      <p>Despite a large increase in research on electronic interventions in recent years (refer to <xref ref-type="app" rid="app1">Multimedia Appendix 1</xref>), gaps in knowledge remain. Specifically, there is a lack of strong evidence examining the efficacy of mobile phone apps that have been empirically validated with rigorous scientific methods for at-risk drinkers in Australia, especially young males [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref29">29</xref>] and indigenous youths. Youths can be impressionable consumers, and principles of rigorous scientific inquiry should be applied to explore the benefits of the use of health-related apps in this population [<xref ref-type="bibr" rid="ref71">71</xref>]. Research aimed at examining low-cost mobile phone apps that are efficacious as an adjunctive tool to therapy would add significantly to the literature [<xref ref-type="bibr" rid="ref29">29</xref>]. Considering the prevalence of alcohol problems [<xref ref-type="bibr" rid="ref22">22</xref>], especially in young males and indigenous youths in Australia, research is much needed to explore alternative ways to deliver effective interventions [<xref ref-type="bibr" rid="ref72">72</xref>].</p>
      <p>It is important to understand that any therapy or medical treatment has the potential to cause harm, and that any device can cause adverse effects if used incorrectly. Some critiques of the mobile phone app movement have focused on the ethical importance of protecting consumers from potential harm. There should be laws and regulations [<xref ref-type="bibr" rid="ref73">73</xref>] governing the operation of mobile phone app stores, and steps should be made available to legislators to protect consumers. This argument follows that if apps were to be used in health care settings for therapy, it is important that the stores be reputable and that the apps be created by legitimate third-party software developers [<xref ref-type="bibr" rid="ref73">73</xref>]; for example, iTunes App Store currently contains 20,000 apps in the Medical category, yet it is not clear what is precisely relevant for clinical decision making with specific at-risk groups [<xref ref-type="bibr" rid="ref31">31</xref>].</p>
      <p>The critical issue for clinicians using mobile phone apps with their patients is the risk to benefit ratio with such a large selection of apps [<xref ref-type="bibr" rid="ref73">73</xref>]. During this fledgling stage of exploration when apps are yet to be rigorously assessed and curated formally based on their content, clinicians should carefully consider safety issues. In Australia, it is a prerequisite in the Therapeutic Goods Act [<xref ref-type="bibr" rid="ref74">74</xref>] for health apps to ensure data security and that all claims made regarding the app comply with the Australian consumer law that they are not misleading the consumer [<xref ref-type="bibr" rid="ref74">74</xref>]. No apps in Australia fall under the label of medical device, which requires registration under the Therapeutic Goods Act [<xref ref-type="bibr" rid="ref74">74</xref>]. If apps could be registered as medical devices, perspectives toward privacy may change, since data security would be mandated as a part of the registration [<xref ref-type="bibr" rid="ref75">75</xref>]. This would also allow regulatory action to be followed through if there were legal issues that needed attention.</p>
      <p>There is concern over accessibility in terms of limitations of digital cover in remote communities [<xref ref-type="bibr" rid="ref75">75</xref>,<xref ref-type="bibr" rid="ref76">76</xref>]. A difference in network coverage and affordability of the type of mobile phones that can be used to host the app may disadvantage Australians who already experience significant socioeconomic disadvantage and who are also at risk of higher rates of alcohol use [<xref ref-type="bibr" rid="ref77">77</xref>]. Additionally, a critique has been made on whether youths could become somewhat dependent on apps [<xref ref-type="bibr" rid="ref78">78</xref>]. However, problem drinkers or those at risk of alcohol addiction are not a homogeneous group, and this must be considered when clinicians are deciding on app suitability for use with their patients. The needs of the patient need to be carefully considered.</p>
      <p>In summary, there is consensus that alcohol misuse is a widespread problem in Australia [<xref ref-type="bibr" rid="ref79">79</xref>]. The health and social consequences resulting from the misuse of alcohol have been widely reported [<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref80">80</xref>]. Reducing the risk of alcohol-related harm is important for affected individuals and society at large [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref3">3</xref>]. Enhancing the delivery of interventions may reduce the adverse consequences of alcohol misuse [<xref ref-type="bibr" rid="ref6">6</xref>]. The potential use of mobile phone apps in the delivery of behavioral interventions tailored for at-risk drinkers remains promising, but evidence to support their use is lacking in Australia. More research is needed to address the gaps in knowledge and to provide an evidence base for the implementation of mobile phone technologies. Developing mobile tools for young users with substance and alcohol abuse issues requires careful ethical consideration regarding the patient-practitioner relationship, the logic of self-surveillance, and overall best practice.</p>
      <p>More rigorous research and evaluations are needed to ascertain the efficacy of and establish evidence for best practice for use of such mobile phone apps [<xref ref-type="bibr" rid="ref17">17</xref>]. The real-time delivery of interventions aimed at reducing risky drinking holds promise to support people who are seeking to change their behavior [<xref ref-type="bibr" rid="ref32">32</xref>]. Although drinking apps do exist, there are many inconsistencies in their features [<xref ref-type="bibr" rid="ref26">26</xref>]. Apps that are designed specifically for behavioral interventions for at-risk drinking have not been empirically studied in Australia. Quality and ethical issues relating to the use of such technology need to be considered on a deeper level.</p>
    </sec>
  </body>
  <back>
    <app-group>
      <app id="app1">
        <title>Multimedia Appendix 1</title>
        <p>Summary of evidence.</p>
        <media xlink:href="mhealth_v6i2e18_app1.pdf" xlink:title="PDF File (Adobe PDF File), 112KB"/>
      </app>
    </app-group>
    <ack>
      <p>Administrative support and publication cost for this work was provided by the James Cook University Internal Research Grant CRT/2016/19.</p>
    </ack>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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