Electronic communication based interventions for hazardous young drinkers: A systematic review

Implementing smoking cessation in routine primary care-a qualitative study

Background

The use of digital tools has been proposed as a solution to some of the challenges of providing preventative services in primary care. Although there is a general acceptance among patients to use digital self-help tools to quit smoking, and healthcare organizations are increasingly urged to incorporate these tools in clinical practice, it is unclear how and for whom these innovations can be incorporated into clinical practice.

Objectives

To explore health care professionals' perceptions about smoking cessation practice in routine primary care and the use of digital tools in this work.

Methods

A qualitative study with nine in-depth telephone interviews with health care professionals working in primary care in Sweden. Convenience sampling and snowball technique was used as recruitment strategy. Informants included registered, district and auxiliary nurses as well as behavioral therapists. All informants were female, between 43 and 57 years old and experience of working with smoking cessation in primary care and possibility to recommend digital interventions to smokers.

Results

Informants described smoking cessation practice in primary care as (i) identifying smoking patients, (ii) pursuing standardized routines for smoking cessation practice and (iii) keeping smoking cessation practice on the agenda. Digital tools were described by informants to be used in different ways: (i) replicating practice, (ii) complementing practice and (iii) enabling access to health care practitioners. Finally, the analysis showed that patients' expectations and behaviors contributed to how and when smoking cessation practice was conducted, including the use of digital tools.

Conclusions

Implementing smoking cessation practice in primary care in Sweden encompass continuous work of reaching smoking patients, building buy-in among peers and keeping tobacco on the practice agenda. Digital interventions are used to replicate, complement and enabling access to care. The findings suggest that poor continuity of staff and negative attitudes towards preventative work may challenge smoking cessation practice. However, societal changes in the awareness of the health risks of tobacco use including shifting social norms regarding the acceptance of smoking may contribute to a normalization of speaking about smoking in primary care practice. Increased knowledge is needed on how, and for whom digital tools can be incorporated in clinical practice.

Digital interventions to moderate alcohol consumption in young people: a Cancer Prevention Europe overview of systematic reviews

Background

Strategies to reduce alcohol consumption would contribute to substantial health benefits in the population, including reducing cancer risk. The increasing accessibility and applicability of digital technologies make these powerful tools suitable to facilitate changes in behaviour in young people which could then translate into both immediate and long-term improvements to public health.

Objective

We conducted a review of systematic reviews to assess the available evidence on digital interventions aimed at reducing alcohol consumption in sub-populations of young people [school-aged children, college/university students, young adults only (over 18 years) and both adolescent and young adults (<25 years)].

Methods

Searches were conducted across relevant databases including KSR Evidence, Cochrane Database of Systematic Reviews (CDSR) and Database of Abstracts of Reviews of Effects (DARE). Records were independently screened by title and abstract and those that met inclusion criteria were obtained for full text screening by two reviewers. Risk of bias (RoB) was assessed with the ROBIS checklist. We employed a narrative analysis.

Results

Twenty-seven systematic reviews were included that addressed relevant interventions in one or more of the sub-populations, but those reviews were mostly assessed as low quality. Definitions of "digital intervention" greatly varied across systematic reviews. Available evidence was limited both by sub-population and type of intervention. No reviews reported cancer incidence or influence on cancer related outcomes. In school-aged children eHealth multiple health behaviour change interventions delivered through a variety of digital methods were not effective in preventing or reducing alcohol consumption with no effect on the prevalence of alcohol use [Odds Ratio (OR) = 1.13, 95% CI: 0.95-1.36, review rated low RoB, minimal heterogeneity]. While in adolescents and/or young adults who were identified as risky drinkers, the use of computer or mobile device-based interventions resulted in reduced alcohol consumption when comparing the digital intervention with no/minimal intervention (-13.4 g/week, 95% CI: -19.3 to -7.6, review rated low RoB, moderate to substantial heterogeneity).In University/College students, a range of E-interventions reduced the number of drinks consumed per week compared to assessment only controls although the overall effect was small [standardised mean difference (SMD): -0.15, 95% CI: -0.21 to -0.09]. Web-based personalised feedback interventions demonstrated a small to medium effect on alcohol consumption (SMD: -0.19, 95% CI: -0.27 to -0.11) (review rated high RoB, minimal heterogeneity). In risky drinkers, stand-alone Computerized interventions reduced short (SMD: -0.17, 95% CI: -0.27 to -0.08) and long term (SMD: -0.17, 95% CI: -0.30 to -0.04) alcohol consumption compared to no intervention, while a small effect (SMD: -0.15, 95% CI: -0.25 to -0.06) in favour of computerised assessment and feedback vs. assessment only was observed. No short-term (SMD: -0.10, 95% CI: -0.30 to 0.11) or long-term effect (SMD: -0.11, 95% CI: -0.53 to 0.32) was demonstrated for computerised brief interventions when compared to counsellor based interventions (review rated low RoB, minimal to considerable heterogeneity). In young adults and adolescents, SMS-based interventions did not significantly reduce the quantity of drinks per occasion from baseline (SMD: 0.28, 95% CI: -0.02 to 0.58) or the average number of standard glasses per week (SMD: -0.05, 95% CI: -0.15 to 0.05) but increased the risk of binge drinking episodes (OR = 2.45, 95% CI: 1.32-4.53, review rated high RoB; minimal to substantial heterogeneity). For all results, interpretation has limitations in terms of risk of bias and heterogeneity.

Conclusions

Limited evidence suggests some potential for digital interventions, particularly those with feedback, in reducing alcohol consumption in certain sub-populations of younger people. However, this effect is often small, inconsistent or diminishes when only methodologically robust evidence is considered. There is no systematic review evidence that digital interventions reduce cancer incidence through alcohol moderation in young people. To reduce alcohol consumption, a major cancer risk factor, further methodologically robust research is warranted to explore the full potential of digital interventions and to form the basis of evidence based public health initiatives.

Modern lifestyle risks associated with alcohol consumption and cigarette smoking in Ukraine

Background

Substance uses confer huge risks for public health in modern society. This study aimed to evaluate current factors related to alcohol drinking and tobacco smoking in the republic of Ukraine.

Methods

We distributed a questionnaire to healthy volunteers in four Ukrainian regions and collected 929 responses regarding demographic information, reasons for starting substance use, substance use family history, environmental factors, use pattern (internet, drinking or smoking), consequences of drinking, and insomnia. Linear regression and logistic regression analyses were performed to identify factors related to alcohol drinking and cigarette smoking.

Results

Aging appeared to attenuate either drinking or smoking. To reduce school- or job-related stress, staying awake, peer pressure, friend-related issues, or to increase sexual desire and single parenting all would trigger drinking; male gender, family divorce, unhealthy diet and lack of awareness about harmful consequences were the main factors leading to smoking. Logistic regression suggested that education background, sleep problems, celebration events and lengthy internet work all could contribute to drinking.

Conclusions

Various real-world factors related to substance uses were identified for the public of Ukraine. A validated instrument would help to identify risk factors in patients with substance use disorders.

Mobile phone-based lifestyle support for families with young children in primary health care (MINISTOP 2.0): Exploring behavioral change determinants for implementation using the COM-B model

Background

Obesity in childhood is a public health concern worldwide and mobile phone-based interventions (mHealth) has shown to facilitate obesity prevention. However, more research is needed on the implementation of digital tools in routine primary care. This study explored behavior change determinants for implementing a health promotion mHealth intervention (MINISTOP 2.0 app) targeting parents of 4-year-olds.

Methods

Secondary data from telephone interviews (n = 15) with child health care nurses working within primary child healthcare in Sweden was analyzed using directed content analysis and the COM-B model.

Results

Barriers for implementation included: limited knowledge about using technology and reservations about how and to what extent parents would use mHealth. Potential facilitators included nurses' openness to learn and try new tools, confidence in their role and engagement in reaching parents as well as beliefs that the app could improve practice by prompting dialogue and being a shared platform. Nurses expressed a strong professional identity and shared understanding of their practice, mechanisms that could potentially inhibit or facilitate implementation.

Conclusions

Findings suggest cautious optimism regarding implementing mobile phone-based tools in child primary healthcare in terms of capability, opportunity and motivation among stakeholders. Implementation strategies such as educational outreach visits and making the intervention testable among stakeholders could further facilitate implementation in this clinical context. However, more research is needed on behavior change determinants in different stages of real-world implementation.

[Technology-based interventions for alcohol prevention among children and adolescents]

BACKGROUND

Early onset and excessive alcohol use in childhood and adolescence is associated with an elevated risk of experiencing short-, mid-, and long-term negative consequences caused by, e.g., accidents, violent acts, and conflicts. Face-to-face prevention approaches show significant effects on the reduction of alcohol use. However, service utilization is often low among children and adolescents. Technology-based alcohol prevention has the potential to reach this target group with potentially cost-effective, standardized, and low-threshold measures.

AIM AND METHOD

This narrative review provides an overview of different approaches of technology-based interventions for the prevention and early intervention of risky alcohol use among children and adolescents, their effectiveness, and settings for implementation.

RESULTS

Technology-based alcohol prevention can be implemented in a variety of settings, e.g., school, community, primary care, or hospital. Implementation is often realized via websites with or without embedding face-to-face modules, apps, or SMS messages. While the cumulative evidence of the effectiveness of technology-based alcohol prevention is strong for adults and young adults, evidence for the effectiveness among children and adolescents is heterogeneous.

DISCUSSION

Technology-based alcohol prevention has great theoretical potential with regards to reach, cost-effectiveness, and user engagement. Study replications are needed and evaluations of the effects of single elements, such as the individualization of content, user engagement through multiple contacts, and the use of multimedia elements and functions, should be addressed by future research.

Evidence Synthesis of Digital Interventions to Mitigate the Negative Impact of the COVID-19 Pandemic on Public Mental Health: Rapid Meta-review

Background

Accumulating evidence suggests the COVID-19 pandemic has negative effects on public mental health. Digital interventions that have been developed and evaluated in recent years may be used to mitigate the negative consequences of the pandemic. However, evidence-based recommendations on the use of existing telemedicine and internet-based (eHealth) and app-based mobile health (mHealth) interventions are lacking.

Objective

The aim of this study was to investigate the theoretical and empirical base, user perspective, safety, effectiveness, and cost-effectiveness of digital interventions related to public mental health provision (ie, mental health promotion, prevention, and treatment of mental disorders) that may help to reduce the consequences of the COVID-19 pandemic.

Methods

A rapid meta-review was conducted. The MEDLINE, PsycINFO, and CENTRAL databases were searched on May 11, 2020. Study inclusion criteria were broad and considered systematic reviews and meta-analyses that investigated digital tools for health promotion, prevention, or treatment of mental health conditions and determinants likely affected by the COVID-19 pandemic.

Results

Overall, 815 peer-reviewed systematic reviews and meta-analyses were identified, of which 83 met the inclusion criteria. Our findings suggest that there is good evidence on the usability, safety, acceptance/satisfaction, and effectiveness of eHealth interventions. Evidence on mHealth apps is promising, especially if social components (eg, blended care) and strategies to promote adherence are incorporated. Although most digital interventions focus on the prevention or treatment of mental disorders, there is some evidence on mental health promotion. However, evidence on process quality, cost-effectiveness, and long-term effects is very limited.

Conclusions

There is evidence that digital interventions are particularly suited to mitigating psychosocial consequences at the population level. In times of physical distancing, quarantine, and restrictions on social contacts, decision makers should develop digital strategies for continued mental health care and invest time and efforts in the development and implementation of mental health promotion and prevention programs.

The Mobile Health Multiple Lifestyle Behavior Interventions Across the Lifespan (MoBILE) Research Program: Protocol for Development, Evaluation, and Implementation

BACKGROUND

Clustering of multiple lifestyle risk behaviors has been associated with a greater risk of noncommunicable diseases and mortality than one lifestyle risk behavior or no lifestyle risk behaviors. The National Board of Health and Welfare in Sweden reported in 2018 that it is important to provide additional support to individuals with multiple lifestyle risk behaviors, as risks from these behaviors are multiplicative rather than additive. However, the same report emphasized that there is a lack of knowledge regarding interventions that support changes to unhealthy lifestyle behaviors.

OBJECTIVE

The MoBILE (Mobile health Multiple lifestyle Behavior Interventions across the LifEspan) research program has brought together two Swedish research groups supported by international collaborators. Through this collaboration, we aim to design and evaluate a number of novel and tailored mobile health (mHealth) multiple lifestyle behavior interventions across the life span of different health care populations. In addition, the MoBILE research program will extend ongoing research to include mHealth interventions for migrant pregnant women and children.

METHODS

Each project within the MoBILE program will focus on a specific group: pregnant women, preschool children, high school and university students, and adults in primary and clinical care. All the projects will follow the same 4 phases: requirements, development, evaluation, and implementation. During the requirements phase, implementers and end users will aid the design of content and functionality of the interventions. In the development phase, findings from the first phase will be synthesized with expert domain knowledge and theoretical constructs to create interventions tailored to the target groups. The third phase, evaluation, will comprise randomized controlled trials conducted to estimate the effects of the interventions on multiple lifestyle risk behaviors (eg, alcohol, nutrition, physical activity, and smoking). The final phase will investigate how the interventions, if found effective, can be disseminated into different health care contexts.

RESULTS

The research program commenced in 2019, and the first results will be available in 2020. Projects involving pregnant women, preschool children, and high school and university students will be completed in the first 3 years, with the remaining projects being planned for the program's final 3 years.

CONCLUSIONS

The development of evidence-based digital tools is complex, as they should be guided by theoretical frameworks, and requires large interdisciplinary teams with competence in technology, behavioral science, and lifestyle-specific areas. Individual researchers or smaller research groups developing their own tools is not the way forward, as it means reinventing the wheel over and over again. The MoBILE research program therefore aims to join forces and learn from the past 10 years of mHealth research to maximize scientific outcomes, as well as the use of financial resources to expand the growing body of evidence for mHealth lifestyle behavior interventions.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/14894.

A technology-augmented intervention to prevent peer violence and depressive symptoms among at-risk emergency department adolescents: Protocol for a randomized control trial

BACKGROUND

Peer violence and depressive symptoms are increasingly prevalent among adolescents, and for many, use the emergency department (ED) as their primary source of healthcare. Brief in-person interventions and longitudinal text-message-based interventions are feasible, acceptable, and may be effective in reducing peer violence and depressive symptoms when delivered in the ED setting. This paper presents the study design and protocol for an in-ED brief intervention (BI) and text messaging program (Text).

METHODS

This study will be conducted in a pediatric ED which serves over 50,000 pediatric patients per year. Recruitment of study participants began in August 2018 and anticipated to continue until October 2021. The study will enroll 800 adolescents (ages13-17) presenting to the ED for any reason who self-report past-year physical peer violence and past-two week mild-to-moderate depressive symptoms. The study will use a factorial randomized trial to test both overall intervention efficacy and determine the optimal combination of intervention components. A full 2 × 2 factorial design randomizes patients at baseline to 1) BI or no BI; and 2) Text or no Text. Peer violence and depressive symptoms improvements will be measured at 2, 4, and 8 months through self-report and medical record review.

DISCUSSION

This study has important implications for the progress of the greater field of mobile health interventions, as well as for adolescent violence and depression prevention in general. This proposal has high clinical and public health significance with high potential scalability, acceptability, and impact.

Text Messaging Interventions for Reducing Alcohol Consumption Among Harmful and Hazardous Drinkers: Protocol for a Systematic Review and Meta-Analysis

Background

Mobile phone-based interventions have become popular for lifestyle behavior change, particularly the use of text messaging as it is a technology ubiquitous in mobile phones. Reviews and meta-analyses of digital interventions for reducing harmful and hazardous use of alcohol have mainly focused on Web-based interventions; thus, there is a need for a body of evidence to guide health practitioners, policy makers, and researchers with respect to the efficacy of available text messaging interventions.

Objective

The aim of this systematic review and meta-analysis is to assess the effectiveness of text messaging interventions for reducing the amount of alcohol consumed among harmful and hazardous drinkers; this is compared to receiving no, minimal, or unrelated health information. Specifically, we ask the following questions: (1) Can interventions consisting of only text messages be effective in reducing alcohol consumption compared to no intervention or a minimal or unrelated intervention? (2) Can interventions consisting of only text messages be effective in reducing the prevalence of risky drinking compared to no intervention or a minimal or unrelated intervention?

Methods

Several databases will be searched, including the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, PsycINFO, the Conference Proceedings Citation Index, ClinicalTrials.gov, OpenGrey, among others. Reports of studies that evaluate text messaging interventions for reducing the amount of alcohol consumed will be included. Primary outcomes of interest will be weekly alcohol consumption and frequency of heavy episodic drinking. The Cochrane Collaboration Risk of Bias tool will be used to assess bias in reports, and the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach will be used to assess the quality of the body of evidence. A narrative review will be presented, and a meta-analysis will be conducted in case of homogeneity among included studies.

Results

The systematic review has not yet begun but is expected to start in May of 2019; publication of the final review and meta-analysis is expected at the end of 2019.

Conclusions

The technology for text messaging is ubiquitous in mobile phones; thus, the potential reach of interventions utilizing this technique is great. However, there are no meta-analyses to date that limit the scope to the use of text messaging interventions for alcohol consumption reduction. Therefore, the proposed systematic review and meta-analysis will help health practitioners, policy decision makers, researchers, and others to better understand the effects of these interventions.

International Registered Report Identifier (IRRID)

PRR1-10.2196/12898

An integrative review of personalized feedback interventions for pain and alcohol

Interrelations between pain and alcohol consumption are considered to be bidirectional in nature, leading to greater pain and increased drinking over time. Personalized feedback interventions (PFIs), which typically aim to motivate behavior change via presentation of personalized and normative feedback, hold great promise for integrated treatment. There has been no previous review of PFIs for pain, and limited work has focused on examining the utility of PFIs for more established, adult drinkers. Our review of the literature revealed that brief, computer-based PFIs can improve pain outcomes and decrease problematic alcohol consumption. Future research would likely benefit from developing integrated, computer-based PFIs for pain and alcohol misuse. Such approaches offer potential for broad impact, while simultaneously reducing patient and healthcare provider burden.

Effectiveness of a web-based screening and brief intervention with weekly text-message-initiated individualised prompts for reducing risky alcohol use among teenagers: study protocol of a randomised controlled trial within the ProHEAD consortium

BACKGROUND

Early and excessive alcohol use is a significant threat to healthy development. Evidence supports the effectiveness of electronic alcohol interventions for young drinkers. However, effects are typically small and studies targeting under 18-year-olds are scarce. This trial is the first to evaluate the effectiveness of a single-session, brief, motivational, web-based intervention (ProWISE) plus weekly text-message-initiated individualised prompts (TIPs) in reducing alcohol consumption and alcohol-related harm among children and adolescents aged ≥ 12 years. TIPs are designed to decrease risky alcohol use by reaching youth in the contexts of their everyday lives and by providing individualised feedback on drinking intentions, actual drinking and succession in achieving personal goals for low-risk drinking or abstinence.

METHODS/DESIGN

The trial is part of the multicentre consortium ProHEAD testing e-interventions for mental health problems in children and adolescents. Participants in grades 6-13 aged ≥ 12 years will be recruited in schools which participate in ProHEAD (target N = 15,000). Main criterion for inclusion in the ProWISE-TIP trial is a positive screening for at-risk alcohol use in the CRAFFT-d questionnaire (target n = 1076). In a multicentre, four-arm, randomised controlled design the following groups will be compared: (A) web-based intervention plus TIPs for 12 weeks; (B) web-based intervention plus text-message-initiated assessment of alcohol consumption for 12 weeks; (C) web-based intervention only; and (D) alcohol-related psychoeducation. TIPs will be delivered shortly before and after high-risk situations for excessive alcohol use and will be tailored to age, gender, drinking motives and alcohol consumption. Study participants will be followed up at three, six and nine months in the ProWISE-TIP trial and at one and two years in the ProHEAD consortium. Primary outcome is alcohol use in the past 30 days at nine months after enrolment. Secondary outcomes are alcohol-related problems, co-occurring substance use, health service utilisation, mental health problems and quality of life.

DISCUSSION

Trial results will generate important evidence on how to enhance effectiveness of single-session, web-based alcohol interventions for youth. The ProWISE-TIP intervention, if effective, can be used as a stand-alone alcohol intervention or as an add-on to school-based or community-based alcohol prevention programs.

TRIAL REGISTRATION

German Clinical Trials Register, DRKS00014606 Registered on 20 April 2018.

[Prevention of substance use disorders]

Prevention of substance use disorders Abstract. Introduction: Adolescence is a vulnerable period for the development of Substance Use Disorders and preventive intervention is a public health priority. In this article, we summarize the available evidence for behavioral preventive action for Substance Use Disorders and related dysregulated behaviors during adolescence in various settings. Results: Current meta-analytic evidence is available mainly for the school and family settings and increasingly also for internet-based prevention. The literature is dominated by US-studies that focus on universal school-based approaches for legal substances in middle adolescence. Only few German studies are published. Taken together the results indicate that developmentally sensitive substance use prevention is effective across different settings with consistent small-to-middle sized effects. Differential effectiveness analyses for schoolbased prevention suggest that younger adolescents benefit most from universal prevention, while for older adolescents targeted approaches are more effective. Conclusions: Across the relevant settings, effective preventive measures are available. However, the results could be improved. There is a need for translational research on effective and more individualized approaches to prevention and differential effects of intervention modules. Moreover, there is a need for research on the implementation of evidence-based programs and especially in Germany, coordinated approaches on community levels are lacking.

Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care

PURPOSE OF REVIEW

Mental health apps are intriguing yet challenging tools for addressing barriers to treatment in primary care. In the current review, we seek to assist primary care professionals with evaluating and integrating mental health apps into practice. We briefly summarize two leading frameworks for evaluating mental health apps and conduct a systematic review of mental health apps across a variety of areas commonly encountered in primary care.

RECENT FINDINGS

Existing frameworks can guide professionals and patients through the process of identifying apps and evaluating dimensions such as privacy and security, credibility, and user experience. For specific apps, several problem areas appear to have relatively more scientific evaluation in the current app landscape, including PTSD, smoking, and alcohol use. Other areas such as eating disorders not only lack evaluation, but contain a significant subset of apps providing potentially harmful advice.

SUMMARY

Overall, individuals seeking mental health apps will likely encounter strengths such as symptom tracking and psychoeducational components, while encountering common weaknesses such as insufficient privacy settings and little integration of empirically-supported techniques. While mental health apps may have more promise than ever, significant barriers to finding functional, usable, effective apps remain for health professionals and patients alike.

Randomized controlled pilot trial of supportive text messaging for alcohol use disorder patients

AIMS

To evaluate the effectiveness of an addiction-related supportive text messaging mobile intervention to improve treatment outcomes for patients with alcohol use disorder (AUD).

METHODS

A single-rater-blinded randomized trial was conducted involving 59 AUD patients who completed a residential addiction treatment program. Patients in the intervention group (n = 29) received supportive text messages for three months following discharge. Patients in the control group (n = 30) received a text message thanking them for participating in the study. The primary outcome of this study was the three months Cumulative Abstinence Duration (CAD); secondary outcomes (units of alcohol per drinking day, numbers of days to first drink) and exploratory outcomes (health utilization) were evaluated. Subgroup analyses were also done. The enrollment rate in the study was 84%, and of those who enrolled, 73% were retained.

RESULTS

When primary and secondary outcome measures were examined via effect size analysis, the number of days to first drink was longer in the intervention than control group (large effect size, although not statistically significant). The intervention group's mean first day to drink was over twice the length of the control group (e.g., approximately 60 vs. 26 days, respectively, with a mean difference of 34.97 and 95% CI of -5.87-75.81). Small to moderate effects were found for CAD and units of alcohol per drinking day. Small to negligible effects were found for health utilization. On subgroup analyses, the participants who received text messages, among those who did not attend follow-up outpatient counselling, showed a longer CAD.

CONCLUSIONS

The results suggest text messaging is a feasible and effective opportunity for follow-up care in patients discharged from residential AUD treatment.

Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application

Background

Smartphone 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.

Methods

We adopted a mixed-methods design, analysing routinely collected app usage data to explore user characteristics and patterns of usage. Following this, in-depth interviews were conducted with a sub-sample of app users to examine perceptions of acceptability, usability and perceived effectiveness, as well as to provide recommendations on how to improve the app.

Results

One hundred nineteen thousand seven hundred thirteen people downloaded and entered data into the app over a 13-month period. High attrition was observed after 1 week. Users who engaged with the app tended to be “high risk” drinkers and to report being motivated “to reduce drinking” at the point of first download. In those who consistently engaged with the app over time, self-reported alcohol consumption levels reduced, with most change occurring in the first week of usage. Our qualitative findings indicate satisfaction with the usability of the app, but mixed feedback was given regarding individual features. Users expressed conflicting views concerning the type of feedback and notifications that the app currently provides. A common preference was expressed for more personalised content.

Conclusions

The Drinkaware app is a useful tool to support behaviour change in individuals who are already motivated and committed to reducing their alcohol consumption. The Drinkaware app would benefit from greater personalisation and tailoring to promote longer term use. This evaluation provides insight into the usability and acceptability of various app features and contains a number of recommendations for improving user satisfaction and the potential effectiveness of apps designed to encourage reductions in alcohol consumption.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-017-4358-9) contains supplementary material, which is available to authorized users.

Binge drinking: Health impact, prevalence, correlates and interventions

OBJECTIVE

Binge drinking (also called heavy episodic drinking, risky single-occasion drinking etc.) is a major public health problem. This paper provides an overview of recently published evidence concerning the definition and measurement, prevalence rates, health impact, demographic and psychosocial correlates of, and interventions for, binge drinking.

DESIGN

Narrative review.

RESULTS

Mostly occurring among young people at weekends, binge drinking increases the risk of both acute (e.g. injuries) and long-term negative consequences (e.g. alcohol disorders). Binge drinkers tend to be extrovert, impulsive and sensation-seeking. Stress, anxiety, traumatic events and depression are also related to binge drinking. Both alcohol-related behaviour of parents and general parenting (e.g. parenting styles, monitoring) are also important. Other major risk factors for binge drinking are frequently spending time with friends who drink, and the drinking norms observed in the wider social environment (e.g. school, community, culture). Emergency departments, birthday parties, fraternities and the workplace serve as settings for interventions; these are increasingly delivered via digital and mobile technology. There is evidence of small-sized effects across approaches (brief interventions, personalised normative feedback, protective behavioural strategies etc.) and populations.

CONCLUSION

A more consistent terminology, investigating multi-level influences and identifying the most effective intervention components are challenges for future research.

Gender Differences in Risk Factors for Adolescent Binge Drinking and Implications for Intervention and Prevention

Alcohol use, particularly binge drinking (BD), is a major public health concern among adolescents. Recent national data show that the gender gap in alcohol use is lessening, and BD among girls is rising. Considering the increase in BD among adolescent girls, as well as females' increased risk of experiencing more severe biopsychosocial negative effects and consequences from BD, the current review sought to examine gender differences in risk factors for BD. The review highlights gender differences in (1) developmental-related neurobiological vulnerability to BD, (2) psychiatric comorbidity and risk phenotypes for BD, and (3) social-related risk factors for BD among adolescents, as well as considerations for BD prevention and intervention. Most of the information gleaned thus far has come from preclinical research. However, it is expected that, with recent advances in clinical imaging technology, neurobiological effects observed in lower mammals will be confirmed in humans and vice versa. A synthesis of the literature highlights that males and females experience unique neurobiological paths of development, and although there is debate regarding the specific nature of these differences, literature suggests that these differences in turn influence gender differences in psychiatric comorbidity and risk for BD. For one, girls are more susceptible to stress, depression, and other internalizing behaviors and, in turn, these symptoms contribute to their risk for BD. On the other hand, males, given gender differences across the lifespan as well as gender differences in development, are driven by an externalizing phenotype for risk of BD, in part, due to unique paths of neurobiological development that occur across adolescence. With respect to social domains, although social and peer influences are important for both adolescent males and females, there are gender differences. For example, girls may be more sensitive to pressure from peers to fit in and impress others, while male gender role stereotypes regarding BD may be more of a risk factor for boys. Given these unique differences in male and female risk for BD, further research exploring risk factors, as well as tailoring intervention and prevention, is necessary. Although recent research has tailored substance use intervention to target males and females, more literature on gender considerations in treatment for prevention and intervention of BD in particular is warranted.