Efficacy of a Web-Based Screening and Brief Intervention to Prevent Problematic Alcohol Use in Korea: Results of a Randomized Controlled Trial

Brief intervention protocol by telephone delivered by nurses to patients with harmful alcohol use in primary health care: A feasibility trial

AIM

The aim of this study is to examine the feasibility of a brief intervention protocol by telephone performed by nurses in primary health care facilities.

METHODS

A nonrandomized single-arm feasibility study was performed. The proposed intervention of this study is the Brief Intervention carried out by the nurse delivered by telephone, synchronously with alcohol users. The brief intervention is a motivational approach based on the FRAMES model, with its components being: Feedback, Responsibility, Advice, Menu of options, Empathy and Self-efficacy. To assess the feasibility of the protocol, we evaluated the procedure for enrolling participants, the acceptability of the protocol to participants, the satisfaction of the participants, convenience and treatment continuity. The quantitative data analysis was carried out in the R software, using descriptive statistics, categorical variables were reported by frequencies and percentages. For continuous variables, medians, means, standard deviations and range values were computed.

RESULTS

We followed the participants (n = 165) from baseline (T0) until 3 months (T1) and 6 months (T2) after the brief intervention. The partial effect suggests a reduction in alcohol consumption, and statistically significant differences were observed from baseline before the BI, with a decrease of 0.66 points in AUDIT scores at T1. Among the patients who completed the 3-month follow-up, 48 % reported a positive experience of receiving the brief intervention by the nurses, and 44 % reported a decrease in alcohol consumption.

CONCLUSIONS

Brief intervention delivered by telephone was considered feasible and acceptable by primary health care patients, and they perceived improvement in their alcohol consumption after receiving the BI performed by nurses.

Electronic-Screening, Brief Intervention and Referral to Treatment (e-SBIRT) for Addictive Disorders: Systematic Review and Meta-Analysis

BACKGROUND

Addictive disorders are significant global public health burdens. Treatment uptake with these disorders is low and outcomes can be mixed. Electronic screening, brief intervention, and referral to treatment (e-SBIRT) programs have potential to improve uptake and treatment outcomes. To date, however, no prior review of the literature has been conducted to gauge the effectiveness of e-SBIRT for addictive disorders.

METHODS

We conducted a systematic review and meta-analysis of the literature concerning e-SBIRT for addictive disorders by surveying the MEDLINE, PubMed, Web of Science, Scopus, Embase, and PsycInfo databases on January 17, 2023.

RESULTS

Ten articles were included at analysis reporting evaluation of e-SBIRT interventions for substance use disorders including alcohol use in a variety of settings. No articles were identified regarding treatment for behavioral addictions such as disordered/harmful gambling. Meta-analysis found e-SBIRT to be effective at reducing drinking frequency in the short term only. e-SBIRT was not found to be advantageous over control conditions for abstinence or other treatment outcomes. We identified and described common components of e-SBIRT programs and assessed the quality of available evidence, which was generally poor.

CONCLUSION

The present findings suggest that research regarding e-SBIRT is concentrated exclusively on higher-risk substance use. There is a lack of consensus regarding the effectiveness of e-SBIRT for addictive disorders. Although common features exist, e-SBIRT designs are variable, which complicates identification of the most effective components. Overall, the quality of outcome evidence is low, and furthermore, high-quality experimental treatment evaluation research is needed.

A systematic review on eHealth technology personalization approaches

Despite the widespread use of personalization of eHealth technologies, there is a lack of comprehensive understanding regarding its application. This systematic review aims to bridge this gap by identifying and clustering different personalization approaches based on the type of variables used for user segmentation and the adaptations to the eHealth technology and examining the role of computational methods in the literature. From the 412 included reports, we identified 13 clusters of personalization approaches, such as behavior + channeling and environment + recommendations. Within these clusters, 10 computational methods were utilized to match segments with technology adaptations, such as classification-based methods and reinforcement learning. Several gaps were identified in the literature, such as the limited exploration of technology-related variables, the limited focus on user interaction reminders, and a frequent reliance on a single type of variable for personalization. Future research should explore leveraging technology-specific features to attain individualistic segmentation approaches.

Disordered eating prevention: Co-designing a brief intervention for use in Community Child Health Services

Dietary habits established in childhood, often persist into adulthood highlighting the importance of early intervention. However, limited interventions exist promoting "how" to establish healthful eating behaviors in children. To create impactful interventions, it is important they are based on evidence and co-designed with end-users. Fifteen child health nurses participated in this co-design study, underpinned by the Knowledge to Action Framework. Child health nurses reviewed evidence-based statements and then workshopped practical strategies. Findings from the co-design sessions were used to inform the development of a preventive intervention. The study has important health marketing implications for conducting co-design with child health nurses.

Digital interventions for reducing alcohol use in general populations: An updated systematic review and meta-analysis

This article updates a 2017 review on the effectiveness of digital interventions for reducing alcohol use in the general population. An updated systematic search of the MEDLINE database was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria to identify randomized controlled trials (RCTs) published from January 2017 to June 2022 that evaluated the effectiveness of digital interventions compared with no interventions, minimal interventions, and face-to-face interventions aimed at reducing alcohol use in the general population and, that also reported changes in alcohol use (quantity, frequency, quantity per drinking day, heavy episodic drinking (HED), or alcohol use disorders identification test (AUDIT) scores). A secondary analysis was performed that analyzed data from RCTs conducted in students. The review was not preregistered. The search produced 2224 articles. A total of 80 studies were included in the review, 35 of which were published after the last systematic review. A total of 66, 20, 18, 26, and 9 studies assessed the impact of digital interventions on alcohol quantity, frequency, quantity per drinking day, HED, and AUDIT scores, respectively. Individuals randomized to the digital interventions drank 4.12 (95% confidence interval (CI): 2.88, 5.36) fewer grams of alcohol per day, had 0.17 (95% CI 0.06, 0.29) fewer drinking days per week, drank approximately 3.89 (95% CI: 0.40, 7.38) fewer grams of alcohol per drinking day, had 1.11 (95% CI: 0.32, 1.91) fewer HED occasions per month, and had an AUDIT score 3.04 points lower (95% CI: 2.23, 3.85) than individuals randomized to the control condition. Significant reductions in alcohol quantity, frequency, and HED, but not quantity per drinking day, were observed among students. Digital interventions show potential for reducing alcohol use in general populations and could be used widely at the population level to reduce alcohol-attributable harms.

Effect of a Motivational Interviewing-Based Brief Intervention on Alcohol Use Behavior in Korean Internal Medicine Settings

A motivational interviewing (MI)-based brief intervention was performed with high-risk drinking outpatients screened at internal medicine settings in Korea after the doctor advised them to reduce alcohol consumption. Participants were assigned to a MI group or a control group where they received a brochure with information on the harm of high-risk drinking and tips on managing drinking habits. Four-week follow-up results showed that Alcohol Use Disorders Identification Test-Concise (AUDIT-C) scores decreased in the MI group and the control group compared to baseline scores. The difference between groups was not significant; however, group by time interaction was significant between the two groups: the slope of decreasing AUDIT-C scores over time was greater in the intervention group than in the control group (P = 0.042). The findings suggest that short comments received from doctors might be a key component in performing brief interventions for high-risk drinking management in Korean clinical settings. Trial Registration: Clinical Research Information Service Identifier: KCT0002719.

Seeking care where they can: A systematic review of global trends in online alcohol treatment utilization among non-veteran and veteran women

Background

Findings from a person-level meta-analysis of online alcohol intervention trials suggest that women disproportionately seek out such interventions (Riper et al., 2018). Although women may be a "hidden population" that is particularly drawn to online alcohol interventions, trial design features may explain women's apparent over-representation in these trials.

Methods

This systematic review examined associations between gender-tailored recruitment/inclusion criteria and proportions of women enrolled in online alcohol intervention trials, evaluated whether community samples have greater proportions of women than clinical samples, and compared country-specific average proportions of women in trials to country-specific proportions of women with Alcohol Use Disorder (AUD).

Results

Forty-four trials met inclusion/exclusion criteria, 34 community samples and 10 drawn from clinical settings; 4 studies included U.S. veterans and were examined separately. The average proportion of community-recruited women across the studies was 51.20% and the average proportion of clinically-recruited women was 35.81%, a difference that was statistically significant. Across the countries with relevant trials, the expected proportion of those with AUD who are women is 27.1% (World Population Review, 2022). Only 2 studies used targeted recruitment for women so no between-group tests were conducted. There was not a statistically significant difference in the proportion of women across trials that did and did not use gender-tailored alcohol inclusion criteria.

Conclusions

Results from this systematic review suggest that study design factors do not account for the marked over-representation of women in online alcohol interventions, indicating that women are indeed a "hidden population" whose needs should be understood and accommodated.

Leveraging mHealth and Wearable Sensors to Manage Alcohol Use Disorders: A Systematic Literature Review

Background: Alcohol use disorder (AUD) is a condition prevalent in many countries around the world, and the public burden of its treatment is close to $130 billion. mHealth offers several possible interventions to assist in the treatment of AUD. Objectives: To analyze the effectiveness of mHealth and wearable sensors to manage AUD from evidence published over the last 10 years. Methods: Following the Kruse Protocol and PRISMA 2020, four databases were queried (PubMed, CINAHL, Web of Science, and Science Direct) to identify studies with strong methodologies (n = 25). Results: Five interventions were identified, and 20/25 were effective at reducing alcohol consumption. Other interventions reported a decrease in depression and an increase in medication compliance. Primary barriers to the adoption of mHealth interventions are a requirement to train users, some are equally as effective as the traditional means of treatment, cost, and computer literacy. Conclusion: While not all mHealth interventions demonstrated statistically significant reduction in alcohol consumption, most are still clinically effective to treat AUD and provide a patient with their preference of a technologically inclined treatment Most interventions require training of users and some technology literacy, the barriers identified were very few compared with the litany of positive results.

Technology-Delivered Adaptations of Motivational Interviewing for the Prevention and Management of Chronic Diseases: Scoping Review

Background

Motivational interviewing (MI) can increase health-promoting behaviors and decrease health-damaging behaviors. However, MI is often resource intensive, precluding its use with people with limited financial or time resources. Mobile health–based versions of MI interventions or technology-delivered adaptations of MI (TAMIs) might increase reach.

Objective

We aimed to understand the characteristics of existing TAMIs. We were particularly interested in the inclusion of people from marginalized sociodemographic groups, whether the TAMI addressed sociocontextual factors, and how behavioral and health outcomes were reported.

Methods

We employed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for scoping reviews to conduct our scoping review. We searched PubMed, CINAHL, and PsycInfo from January 1, 1996, to April 6, 2022, to identify studies that described interventions incorporating MI into a mobile or electronic health platform. For inclusion, the study was required to (1) describe methods/outcomes of an MI intervention, (2) feature an intervention delivered automatically via a mobile or electronic health platform, and (3) report a behavioral or health outcome. The exclusion criteria were (1) publication in a language other than English and (2) description of only in-person intervention delivery (ie, no TAMI). We charted results using Excel (Microsoft Corp).

Results

Thirty-four studies reported the use of TAMIs. Sample sizes ranged from 10 to 2069 participants aged 13 to 70 years. Most studies (n=27) directed interventions toward individuals engaging in behaviors that increased chronic disease risk. Most studies (n=22) oversampled individuals from marginalized sociodemographic groups, but few (n=3) were designed specifically with marginalized groups in mind. TAMIs used text messaging (n=8), web-based intervention (n=22), app + text messaging (n=1), and web-based intervention + text messaging (n=3) as delivery platforms. Of the 34 studies, 30 (88%) were randomized controlled trials reporting behavioral and health-related outcomes, 23 of which reported statistically significant improvements in targeted behaviors with TAMI use. TAMIs improved targeted health behaviors in the remaining 4 studies. Moreover, 11 (32%) studies assessed TAMI feasibility, acceptability, or satisfaction, and all rated TAMIs highly in this regard. Among 20 studies with a disproportionately high number of people from marginalized racial or ethnic groups compared with the general US population, 16 (80%) reported increased engagement in health behaviors or better health outcomes. However, no TAMIs included elements that addressed sociocontextual influences on behavior or health outcomes.

Conclusions

Our findings suggest that TAMIs may improve some health promotion and disease management behaviors. However, few TAMIs were designed specifically for people from marginalized sociodemographic groups, and none included elements to help address sociocontextual challenges. Research is needed to determine how TAMIs affect individual health outcomes and how to incorporate elements that address sociocontextual factors, and to identify the best practices for implementing TAMIs into clinical practice.

The Effect of SBIRT on Harmful Alcohol Consumption in the Community Health Centers of Shanghai, China: A Randomized Controlled Study

OBJECTIVE

The present study was a randomized controlled trial with a longitudinal design aimed at examining the effectiveness of Screening, Brief Intervention and Referral to Treatment (SBIRT) on harmful alcohol use in the community health centres in Shanghai, China, and further compared the effects of a multi-session brief intervention (MBI) and a single-session brief intervention (SBI).

METHODS

A total of 362 participants were recruited from four districts of Shanghai and randomly assigned to MBI, SBI and routine care (RC) groups. The MBI group received the brief intervention twice. Follow-up assessments were conducted at 1 and 3 months after the intervention.

RESULTS

Compared with the SBI and the RC groups, the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) scores (F = 6.422, P = 0.002), SDS scores (F = 5.779, P = 0.003) and SAS scores (F = 4.004, P = 0.019) were significant improved in the MBI group at 1and 3-month follow-up assessment. In the SBI group, the SDS scores decreased significantly compared with the RC group, and there were no significant differences in ASSIST scores, drinking knowledge scores and SAS scores 1-month follow-up assessment.

CONCLUSION

The findings suggested that SBIRT with two sessions of BI had considerable effects on individuals with harmful alcohol use. It provided clinical evidence for future use in China and other Asian countries with similar situations.

Profiles of social disadvantage and their associations with alcohol use disorder criteria among Asian Americans and Pacific Islanders

BACKGROUND

The relationship between social disadvantage and alcohol use disorder (AUD) among Asian American and Pacific Islander (AAPI) people is poorly understood. The study explores the patterns of social disadvantage and their associations with the AUD criteria in this population.

METHODS

This study used data from the National Epidemiologic Survey of Alcohol and Related Conditions-III on AAPI people's (N = 1801) social disadvantage, adverse childhood experiences (ACEs), racial discrimination, and AUD. A three-step latent class analysis (LCA) using the Bolck, Croon, and Hagenaars (BCH) method was conducted to examine the heterogeneity within response patterns to items that describe social disadvantage among AAPI people. In addition, the relationship between classes and the AUD criteria was examined.

RESULTS

Three classes were identified: Class 1, labeled "High Adversity" (8.2%); Class 2, labeled "High Discrimination" (9.7%); and Class 3, labeled "Low Disadvantage" (82.2%). Results from the analyses of a multiple regression model suggest that Class 1 (High Adversity; B = 1.049, SE = 0.27, p < 0.001) is more susceptible to AUD compared to Class 3 (Low Disadvantage).

CONCLUSIONS

The average number of AUD criteria among AAPI people who had experienced high levels of adversity was 2.2. Latent class models demonstrate how social disadvantage is distributed across classes and illustrate its associations with the AUD criteria. Tailored interventions for AAPI people are required. Further studies are also necessary to more effectively understand social disadvantage in AAPI populations.

A randomized controlled trial of the web-based drinking diary program for problem drinking in multi workplace settings

Objectives

To assess the effectiveness of a web‐based brief intervention (BI) program to record daily drinking among people with problem drinking in workplace settings.

Methods

A two‐armed, parallel‐group, randomized controlled trial were conducted at six workplaces in Japan. After obtaining written consent to participate in the study, workers with an Alcohol Use Disorders Identification Test (AUDIT) score of 8 or higher were randomly assigned into two groups. The participants allocated to the intervention group recorded their daily alcohol consumption for 4 weeks using the program, while those allocated to the control group received no intervention. Outcome measures included the amount of alcohol consumption in past 7 days using the Timeline Follow‐Back method in the program at baseline, 8th week, and 12th week and written AUDIT score at baseline and 12th week.

Results

Hundred participants were assigned to either the intervention group (n = 50) or control group (n = 50). The results of two‐way repeated measures ANOVA showed a statistically significant interaction between the group and the week factors in the two primary outcomes (number of alcohol‐free days, total drinks) and secondary outcomes (AUDIT score) (p = .04, .02, and .03, respectively). The between‐group effect sizes (Hedges' g; 95% CI) of the outcomes at 12th week were 0.53; 0.13–0.93 (total drinks), 0.44; 0.04–0.84 (AUDIT score), 0.43; 0.03–0.83 (number of alcohol‐free days).

Conclusions

The web‐based BI program for problem drinking was considered to be effective in reducing alcohol consumption and the AUDIT score in workplace settings.

Validation of the screening test for at-risk drinking in an emergency department using a tablet computer

BACKGROUND

The Alcohol Use Disorder Identification Test (AUDIT) is widely used and validated in primary care settings for alcohol screening, yet practical challenges in conducting it in crowded clinics exist. Recently, a new abbreviated version of the AUDIT, was presented: the Screening Test for At-risk Drinking (STAD). This study aimed to evaluate the performance of STAD compared to other abbreviated versions of AUDIT for patients visiting the emergency department (ED).

METHODS

This cross-sectional survey was conducted with 543 patients in the urban tertiary academic hospital ED in South Korea We diagnosed at-risk drinking using the entire AUDIT score. The optimal cut-off values, sensitivity, specificity, and the area under the receiver operating characteristics (AUROC) of the STAD were analyzed. We compared the AUROC with AUDIT-C and AUDIT-QF, which are previously abbreviated versions of AUDIT.

RESULTS

For males, the optimal cut-off value in the STAD test was 3 points with 83.1% sensitivity (95% CI: 75.3-89.2) and 95.9% specificity (95% CI: 91.2-98.5). For females, the optimal cut-off value was 2 points with 95.9% sensitivity (95% CI: 88.5-99.1) and 89.1% specificity (95% CI: 83.9-93.0). The AUROC curves for STAD were 0.964 (95% CI: 0.934-0.983) for males and 0.980 (95% CI: 0.965-0.993) for females.

CONCLUSIONS

The STAD is a simple and useful test to screen at-risk drinking in the ED, and its assisted applications will enable faster and more efficient screening and management of at-risk drinking.

Finding the Right Balance: A Social Norms Intervention to Reduce Heavy Drinking in University Students

Introduction: Heavy alcohol consumption constitutes a major health risk among University students. Social relationships with peers strongly affect University students' perception of the drinking behavior of others, which in turn plays a crucial role in determining their own alcohol intake. University students tend to overestimate their peers' alcohol consumption – a belief that is associated with an increase in an individual's own consumption. Therefore, we implemented a social norms intervention with personalized normative feedback at a major University in Germany to reduce and prevent excessive drinking among University students.

Methods: Our intervention was part of a regular health monitoring survey. We invited all enrolled University students to take part in this survey on two occasions. A total of 862 University students completed the questionnaire, 563 (65.3%) of which received e-mail-based feedback upon request concerning their peers' and their own alcohol consumption. For the intervention group (n = 190) as well as the control group (no feedback requested; n = 101), we included only University students in the evaluation who overestimated their peers' alcohol use and indicated above average consumption of the peers. We applied analyses of variance to assess intervention effects with regard to the correction of overestimated group norms as well as University students' drinking behavior.

Results: Within the intervention group, we observed a significantly larger reduction of the previously overestimated behavioral norms compared to the control group (p < 0.001; ηp2 = 0.06). With regard to behavioral outcomes the intervention group showed a significantly larger reduction in the AUDIT-C score (p = 0.020; ηp2 = 0.03).

Discussion: Our study confirms previous research whereupon personalized, gender-specific and selective normative feedback is effective for alcohol prevention among University students. However, University students still overestimated their peers' alcohol intake after the intervention. Furthermore, we did not reach high-risk groups (University students with the highest alcohol intake) since no feedback was requested. Future studies should address factors influencing the impact of the intervention and reachability of selective groups.

Identification of Behavior Change Techniques From Successful Web-Based Interventions Targeting Alcohol Consumption, Binge Eating, and Gambling: Systematic Review

BACKGROUND

Web-based interventions are thought to overcome barriers to treatment, such as accessibility and geographical location, which can undermine the effectiveness of traditional face-to-face interventions. Owing to these features, researchers are increasingly testing the efficacy of web-based interventions as ways to reduce alcohol misuse, binge eating, and gambling. However, many web-based interventions have poorly defined mechanisms of action; therefore, it is often uncertain how they propose to bring about behavior change.

OBJECTIVE

This systematic review aims to identify effective behavior change techniques (BCTs) present in web-based interventions aimed at reducing alcohol consumption, binge eating, or gambling.

METHODS

This systematic review covered research conducted in the last 20 years. Inclusion criteria for interventions were web-based administration; targeting alcohol use, binge eating, and/or gambling; and reporting on baseline and postintervention measures of behavior. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines were followed. We coded intervention effectiveness, study quality, and BCTs present in the interventions.

RESULTS

Following removal of 4152 ineligible articles, 45 were included in the review: 32 (71%) targeted alcohol misuse, 6 (13%) targeted binge eating, and 7 (16%) targeted gambling. In total, 5 frequency counts were performed to identify the most commonly used BCTs: all studies, effective interventions, high-quality studies at 2 thresholds, and both high quality and effective studies. The results obtained from this were integrated to identify 7 BCTs. These 7 BCTs were problem solving, feedback on behavior, self-monitoring of behavior, self-monitoring of outcomes, instruction on how to perform a behavior, information about social and health consequences, and social comparison. A total of 4 BCTs were found in all frequency counts: feedback on behavior, self-monitoring of behavior, instruction on how to perform a behavior, and social comparison. Self-monitoring of outcomes of behavior was found in 3 of the 5 frequency counts, problem solving was found in 2 frequency counts, and information about social and health consequences was found in 1 frequency count.

CONCLUSIONS

This systematic review identified 7 of the most frequently used BCTs used in web-based interventions focused on alcohol misuse, binge eating, and gambling. These results can inform the development of evidence-based eHealth interventions that have the potential to lead to effective, positive behavior changes in all 3 areas.