2017
DOI: 10.1186/s12889-017-4358-9
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Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application

Abstract: BackgroundSmartphone applications (“apps”) offer promise as tools to help people monitor and reduce their alcohol consumption. To date, few evaluations of alcohol reduction apps exist, with even fewer considering apps already available to the public. The aim of this study was to evaluate an existing publically available app, designed by Drinkaware, a UK-based alcohol awareness charity.MethodsWe adopted a mixed-methods design, analysing routinely collected app usage data to explore user characteristics and patt… Show more

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Cited by 71 publications
(107 citation statements)
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“…It has been reported that many apps lack an evidence base and make no reference to the scientific literature [ 14 , 15 ]. Recent research has found the use of mobile apps as brief alcohol interventions to be effective compared with traditional delivery methods (eg , face-to-face) [ 16 , 17 ]; however, the content of most existing alcohol smartphone interventions is based on public health guidelines regarding safe alcohol limits [ 14 , 18 ]. These alcohol limits may not be perceived as credible because they are viewed as state sponsored and are often at odds with individual beliefs, prevailing social context, and perceptions of consumption [ 18 - 21 ].…”
Section: Introductionmentioning
confidence: 99%
“…It has been reported that many apps lack an evidence base and make no reference to the scientific literature [ 14 , 15 ]. Recent research has found the use of mobile apps as brief alcohol interventions to be effective compared with traditional delivery methods (eg , face-to-face) [ 16 , 17 ]; however, the content of most existing alcohol smartphone interventions is based on public health guidelines regarding safe alcohol limits [ 14 , 18 ]. These alcohol limits may not be perceived as credible because they are viewed as state sponsored and are often at odds with individual beliefs, prevailing social context, and perceptions of consumption [ 18 - 21 ].…”
Section: Introductionmentioning
confidence: 99%
“…This supposition is supported by an analysis of usage statistics from a smart phone application designed to support reductions in alcohol consumption, also developed by the Drinkaware Trust, which found that the second most common motivation for downloading and using the application to moderate drinking was related to physical appearance (e.g. to lose weight, cited by 30,924 (25.8%) of 119,713 users) (Attwood, Parke, Larsen, & Morton, 2017), and that levels of this motivation varied by gender (e.g. 19,415 female users versus 11,000 male users).…”
Section: Sbis and Message Framingmentioning
confidence: 91%
“…As recent research conducted by the Drinkaware Trust demonstrates, those with higher scores on the AUDIT-C (e.g. those who drink more) tend to also have greater pre-existing awareness of the impact of alcohol on their health (Gunstone, Piggot, Butler, Appleton, & Larsen, 2018) and are more likely than those with lower scores to actively want to reduce drinking for health reasons rather than to support an appearance-related goal such as losing weight (Attwood et al, 2017).…”
Section: Sbis and Message Framingmentioning
confidence: 99%
“…Participants could 'log' an alcohol beverage or an 'alcohol free day' via the 'Add Drinks' tab, Table 2 illustrates the types of alcoholic drink a participant could log. Self-reported alcohol consumption is a standard method for assessing the efficacy of low-intensity interventions [13], [14], [39]. Participants could optionally provide the quantity consumed, strength, price, calories, who they were drinking with and where they were drinking.…”
Section: Reporting Alcohol Consumptionmentioning
confidence: 99%