Engagement with mHealth Alcohol Interventions: User Perspectives on an App or Chatbot-Delivered Program to Reduce Drinking.

Research suggests participant engagement is a key mediator of mHealth alcohol interventions' effectiveness in reducing alcohol consumption among users. Understanding the features that promote engagement is critical to maximizing the effectiveness of mHealth-delivered alcohol interventions. The purpose of this study was to identify facilitators and barriers to mHealth alcohol intervention utilization among hazardous-drinking participants who were randomized to use either an app (Step Away) or Artificial Intelligence (AI) chatbot-based intervention for reducing drinking (the Step Away chatbot). We conducted semi-structured interviews from December 2019 to January 2020 with 20 participants who used the app or chatbot for three months, identifying common facilitators and barriers to use. Participants of both interventions reported that tracking their drinking, receiving feedback about their drinking, feeling held accountable, notifications about high-risk drinking times, and reminders to track their drinking promoted continued engagement. Positivity, personalization, gaining insight into their drinking, and daily tips were stronger facilitator themes among bot users, indicating these may be strengths of the AI chatbot-based intervention when compared to a user-directed app. While tracking drinking was a theme among both groups, it was more salient among app users, potentially due to the option to quickly track drinks in the app that was not present with the conversational chatbot. Notification glitches, technology glitches, and difficulty with tracking drinking data were usage barriers for both groups. Lengthy setup processes were a stronger barrier for app users. Repetitiveness of the bot conversation, receipt of non-tailored daily tips, and inability to self-navigate to desired content were reported as barriers by bot users. To maximize engagement with AI interventions, future developers should include tracking to reinforce behavior change self-monitoring and be mindful of repetitive conversations, lengthy setup, and pathways that limit self-directed navigation.

Stand Down-Think Before You Drink: protocol for an effectiveness-implementation trial of a mobile application for unhealthy alcohol use with and without peer support.

INTRODUCTION: Mobile apps can increase access to alcohol-related care but only if patients actively engage with them. Peers have shown promise for facilitating patients' engagement with mobile apps. However, the effectiveness of peer-based mobile health interventions for unhealthy alcohol use has yet to be evaluated in a randomised controlled trial. The goal of this hybrid I effectiveness-implementation study is to test a mobile app ('Stand Down-Think Before You Drink'), with and without peer support, to improve drinking outcomes among primary care patients. METHODS AND ANALYSIS: In two US Veterans Health Administration (VA) medical centres, 274 primary care patients who screen positive for unhealthy alcohol use and are not currently in alcohol treatment will be randomised to receive usual care (UC), UC plus access to Stand Down (App), or UC plus Peer-Supported Stand Down (PSSD-four peer-led phone sessions over the initial 8 weeks to enhance app engagement). Assessments will occur at baseline and 8-, 20- and 32-weeks postbaseline. The primary outcome is total standard drinks; secondary outcomes include drinks per drinking day, heavy drinking days and negative consequences from drinking. Hypotheses for study outcomes, as well as treatment mediators and moderators, will be tested using mixed effects models. Semi-structured interviews with patients and primary care staff will be analysed using thematic analysis to identify potential barriers and facilitators to implementation of PSSD in primary care. ETHICS AND DISSEMINATION: This protocol is a minimal risk study and has received approval from the VA Central Institutional Review Board. The results have the potential to transform the delivery of alcohol-related services for primary care patients who engage in unhealthy levels of drinking but rarely seek treatment. Study findings will be disseminated through collaborations with healthcare system policymakers as well as publications to scholarly journals and presentations at scientific conferences. TRIAL REGISTRATION NUMBER: NCT05473598.

U.S. veterans' experiences and factors associated with use of a smartphone application to self-manage unhealthy alcohol use.

Unhealthy alcohol use is common among Operations Enduring and Iraqi Freedom (OEF/OIF) veterans, yet barriers discourage treatment-seeking. Mobile applications (apps) that deliver alcohol interventions have potential to address these barriers and increase treatment receipt. Few studies have qualitatively assessed users' experiences with apps to manage alcohol use. We assessed OEF/OIF veterans' experiences with Step Away, an app to reduce alcohol-related risks, to identify factors that may influence engagement. This single-arm pilot study recruited OEF/OIF veterans with positive alcohol screens nationwide using mail/telephone. Veterans aged 18-55 who exceeded drinking guidelines and owned an iPhone were eligible. Twenty-one (16 men, 5 women) of 55 participants completed interviews. Interviews were analyzed using thematic analysis. Participants found Step Away easy to use, although setup was time consuming. Participants reported increased awareness of alcohol use, highlighting daily assessment, weekly feedback, goal setting, and high-risk notification features as helpful and associated awareness with an intent to decrease use. Participants described Step Away as informative, with over half reporting they would use it outside of the study and most recommending it. Suggestions for improvement included greater personalization and control over features. Step Away features appear to influence engagement and increase users' awareness about alcohol consumed and factors associated with drinking, as well as intent to change. Assessment, feedback, and customization features of apps may facilitate app engagement. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Usability and Acceptability of a Mobile App for the Self-Management of Alcohol Misuse Among Veterans (Step Away): Pilot Cohort Study.

BACKGROUND: Alcohol misuse is common among Operation Enduring Freedom and Operation Iraqi Freedom veterans, yet barriers limit treatment participation. Mobile apps hold promise as means to deliver alcohol interventions to veterans who prefer to remain anonymous, have little time for conventional treatments, or live too far away to attend treatment in person. OBJECTIVE: This pilot study evaluated the usability and acceptability of Step Away, a mobile app designed to reduce alcohol-related risks, and explored pre-post changes on alcohol use, psychological distress, and quality of life. METHODS: This single-arm pilot study recruited Operation Enduring Freedom and Operation Iraqi Freedom veterans aged 18 to 55 years who exceeded National Institute on Alcohol Abuse and Alcoholism drinking guidelines and owned an iPhone. Enrolled veterans (N=55) completed baseline and 1-, 3-, and 6-month assessments. The System Usability Scale (scaled 1-100, ≥70 indicating acceptable usability) assessed the effectiveness, efficiency, and satisfaction dimensions of usability, while a single item (scaled 1-9) measured the attractiveness of 10 screenshots. Learnability was assessed by app use during week 1. App engagement (proportion of participants using Step Away, episodes of use, and minutes per episode per week) over 6 months measured acceptability. Secondary outcomes included pre-post change on heavy drinking days (men: ≥5 drinks per day; women: ≥4 drinks per day) and Short Inventory of Problems-Revised, Kessler-10, and brief World Health Organization Quality of Life Questionnaire scores. RESULTS: Among the 55 veterans enrolled in the study, the mean age was 37.4 (SD 7.6), 16% (9/55) were women, 82% (45/55) were White, and 82% (45/55) had an alcohol use disorder. Step Away was used by 96% (53/55) of participants in week 1, 55% (30/55) in week 4, and 36% (20/55) in week 24. Step Away use averaged 55.1 minutes (SD 57.6) in week 1 and <15 minutes per week in weeks 2 through 24. Mean System Usability Scale scores were 69.3 (SD 19.7) and 71.9 (SD 15.8) at 1 and 3 months, respectively. Median attractiveness scores ranged from 5 to 8, with lower ratings for text-laden screens. Heavy drinking days decreased from 29.4% (95% CI 23.4%-35.4%) at baseline to 16.2% (95% CI 9.9%-22.4%) at 6 months (P<.001). Likewise, over 6 months, Short Inventory of Problems-Revised scores decreased from 6.3 (95% CI 5.1-7.5) to 3.6 (95% CI 2.4-4.9) (P<.001) and Kessler-10 scores decreased from 18.8 (95% CI 17.4-20.1) to 17.3 (95% CI 15.8-18.7) (P=.046). Changes were not detected on quality of life scores. CONCLUSIONS: Operation Enduring Freedom and Operation Iraqi Freedom veterans found the usability of Step Away to be acceptable and engaged in the app over the 6-month study. Reductions were seen in heavy drinking days, alcohol-related problems, and Kessler-10 scores. A larger randomized trial is warranted to confirm our findings.

Customizing a clinical app to reduce hazardous drinking among veterans in primary care.

Within the Veterans Health Administration (VHA), 15-30% of patients seen in primary care are identified as hazardous drinkers, yet the vast majority of these patients receive no intervention. Time constraints on providers and patient-level barriers to in-person treatment contribute to this problem. The scientific literature provides a compelling case that mobile-based interventions can reduce hazardous drinking and underscores the role of peer support in behavioral change. Here, we describe the benefits of using a clinical app-Step Away-to treat hazardous drinking among VHA primary care patients as well as an approach to customizing the app to maximize its engagement and effectiveness with this population. We highlight the value of integrating use of Step Away with telephone support from a trained VHA peer support specialist. This type of integrated approach may provide the key therapeutic components necessary to generate an effective and easily implemented alcohol use intervention that can be made available to VHA primary care patients who screen positive for hazardous drinking but are unwilling or unable to attend in-person treatment. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Comparisons of Alcohol Consumption by Time-Line Follow Back vs. Smartphone-Based Daily Interviews.

This study compared alcohol consumption data collected through daily interviews on a smartphone with data collected via the Timeline Follow-Back (TLFB) during a 6-week pilot study of a smartphone-based alcohol intervention system. The focus of the study was to assess for discrepancies between the two measurement methodologies on commonly utilized alcohol outcome variables. Twenty-five participants between 22 and 45 years of age and were drinking heavily at study incipience completed a 6-week alcohol intervention delivered by a smartphone application that monitored drinking through a daily interview. Participants also completed a TLFB of their alcohol consumption during the intervention period. Difference scores were calculated by subtracting the average weekly outcome variables derived from the smartphone daily interview from the average weekly outcome variables derived from the TLFB which yielded six discrepancy scores for each of the 25 participants and resulted in 150 observations. Heirarchical linear modeling indicated that the TLFB and smartphone daily interview methods did not produce significant discrepancies over the 6-week interval when examining percent of heavy drinking days and percent of days abstinent. However, discrepancies on drinks per drinking day increased substantially over time, suggesting that it is susceptible to recall bias when assessed by the TLFB. Results also indicated that participants under-reported their drinking on the TLFB compared to the daily smartphone-based assessment. Results indicate that outside of assessing for extreme drinking (binge or no drinking), the TLFB should be used cautiously and that smartphone apps represent a promising method for accurately assessing alcohol consumption over time.

Smartphone-based, momentary intervention for alcohol cravings amongst individuals with an alcohol use disorder.

Smartphone-based alcohol interventions represent an innovative strategy for providing in-the-moment intervention to individuals with an alcohol use disorder. While early research into their overall effectiveness is promising, little is known about the efficacy of specific intervention tools in reducing drinking subsequent to a cued craving. This study examined the influence of smartphone-delivered in-the-moment coping strategies on drinking after experiencing a craving among participants utilizing the Location-Based Monitoring and Intervention for Alcohol Use Disorders (LBMI-A). The LBMI-A was utilized by 28 adults (18 to 45 years old) who met criteria for an alcohol use disorder and were interested in changing their drinking. Participants utilized the system for 6 weeks and responded to a daily interview of craving, type of LBMI-A coping strategy utilized in response, and whether or not they subsequently drank. Mixed model analyses of 744 total observations revealed that craving cue type, craving strength, and coping strategies were significantly related to drinking in response to a craving. Results suggested that coping strategies delivered by the LBMI-A (i.e., listening to an urge surfing audio file, viewing reasons for changing drinking) were superior to using a non-LBMI-A strategy. Simple contrast analyses indicated that cues related to being around alcohol and time of day were the most potent elicitors of subsequent drinking. Results suggest smartphone-delivered coping strategies for alcohol cravings are effective in reducing craving cued drinking and that craving cues related to drinking environments and drinking times of day represent fruitful areas of intervention focus. (PsycINFO Database Record

Comparison of a smartphone app for alcohol use disorders with an Internet-based intervention plus bibliotherapy: A pilot study.

OBJECTIVE: To date, no research has evaluated the efficacy of a stand-alone, smartphone-based intervention for individuals with an alcohol use disorder. The current pilot study evaluated the short-term outcomes of a smartphone-based intervention for alcohol use disorders compared with an Internet-based brief motivational intervention plus bibliotherapy. METHOD: Adults (18 to 45 years old) with an alcohol use disorder received either the Location-Based Monitoring and Intervention for Alcohol Use Disorders (LBMI-A; n = 28), a smartphone-based intervention, or the online Drinker's Check-up plus bibliotherapy (DCU + bib; n = 26). These groups were compared using the Timeline Followback interview for percent days abstinent (PDA), percent heavy drinking days (PHDD), and drinks per week (DPW) from baseline to 6 weeks after the introduction of the interventions. RESULTS: Multilevel models revealed that the LBMI-A resulted in a significant increase in PDA over the course of the study, whereas the DCU + bib did not. Effect sizes for change from baseline for PDA suggest that the DCU + bib resulted in moderate a decrease, whereas the LBMI-A resulted in a large increase in PDA. Both interventions resulted in significant decreases in PHDD and DPW. The LBMI-A produced larger reductions in the first 3 to 4 weeks after the intervention was introduced than the DCU + bib. On weeks with greater LBMI-A usage, participants reported less DPW and PHDD. CONCLUSIONS: Both interventions resulted in significant decreases in alcohol use over the 6-week trial, which is promising for stand-alone technology-based intervention systems aimed at individuals with an alcohol use disorder. (PsycINFO Database Record

Results of a pilot test of a self-administered smartphone-based treatment system for alcohol use disorders: usability and early outcomes.

BACKGROUND: This paper provides results from a pilot study focused on assessing early-stage effectiveness and usability of a smartphone-based intervention system that provides a stand-alone, self-administered intervention option, the Location-Based Monitoring and Intervention for Alcohol Use Disorders (LBMI-A). The LBMI-A provided numerous features for intervening with ongoing drinking, craving, connection with supportive others, managing life problems, high-risk location alerting, and activity scheduling. METHODS: Twenty-eight participants, ranging in age from 22 to 45, who met criteria for an alcohol use disorder used an LBMI-A-enabled smartphone for 6 weeks. RESULTS: Participants indicated the LBMI-A intervention modules were helpful in highlighting alcohol use patterns. Tools related to managing alcohol craving, monitoring consumption, and identifying triggers to drink were rated by participants as particularly helpful. Participants also demonstrated significant reductions in hazardous alcohol use while using the system (56% of days spent hazardously drinking at baseline vs. 25% while using the LBMI-A) and drinks per day diminished by 52%. CONCLUSIONS: Implications for system improvement as well as suggestions for designing ecological momentary assessment and intervention systems for substance use disorders are discussed.

Smartphone-Based, Self-Administered Intervention System for Alcohol Use Disorders: Theory and Empirical Evidence Basis.

Advances in mobile technology provide an opportunity to deliver in-the-moment interventions to individuals with alcohol use disorders, yet availability of effective "apps" that deliver evidence-based interventions is scarce. We developed an immediately available, portable, smartphone-based intervention system whose purpose is to provide stand-alone, self-administered assessment and intervention. In this paper, we describe how theory and empirical evidence, combined with smartphone functionality contributed to the construction of a user-friendly, engaging alcohol intervention. With translation in mind, we discuss how we selected appropriate intervention components including assessments, feedback and tools, that work together to produce the hypothesized outcomes.

Perceived control as a longitudinal moderator of late-life stressors on depressive symptoms.

OBJECTIVES: This study examined perceived control as a moderator of the relationship between late-life stressors and depressive symptoms among a sample of older New Zealanders. METHOD: Data were drawn from a longitudinal study with two data collection periods, one year apart. The Time 1 sample consisted of 1489 participants ranging in age from 65 to 94 years and 72% percent participated at Time 2. Correlational and multiple regression procedures were used to examine study hypotheses. RESULTS: Results showed that Time 1 perceived control beliefs were a unique predictor of depressive symptoms at Time 2 after controlling for Time 1 depressives symptoms and other relevant variables. Further, perceived control beliefs at Time 1 moderated the relationship between late-life stressors and depressive symptoms at Time 2. Those with low perceived control demonstrated a stronger relationship between late-life stressors and depressive symptoms than those with high perceived control. CONCLUSION: This study provides evidence that perceived control influences levels of depressive symptoms over time among older adults. Results also support the hypothesis that control beliefs moderate the relationship between late-life stressors and depressive symptoms among older adults. Implications include attributional retraining to promote perceived control and subsequent well-being in older adults.

Volunteering predicts happiness among older Maori and non-Maori in the New Zealand health, work, and retirement longitudinal study.

OBJECTIVES: This study sought to understand the relationship between volunteer activity and happiness among a sample of older adult New Zealanders. It specifically sought to determine if ethnicity (Maori vs. non-Maori) and economic living standards (ELS) functioned as moderators of the relationship between volunteering and happiness. METHOD: Data were garnered from the 2008 administration of the New Zealand Health, Work, and Retirement Longitudinal Study. Correlational and multiple regression procedures were employed to examine study hypotheses. RESULTS: Results from multiple regression analyses showed that the amount of volunteering per week was a unique predictor of the overall level of happiness. Moderation analyses indicated that ethnicity did not function as a moderator of the relationship between volunteering and happiness, but ELS did. Those with low ELS evidenced a stronger relationship between volunteering and happiness than those with high ELS. Results also indicated that Maori and those with low ELS volunteered more frequently than non-Maori and those with high ELS. CONCLUSION: This study provides evidence that volunteering is related to increased happiness, irrespective of ethnicity. It also provides further evidence that the relationship between volunteering and happiness is moderated by economic resources. Older individuals at the low end of the economic spectrum are likely to benefit more from volunteering than those at the high end.

Avoidance of potentially traumatic stimuli mediates the relationship between accumulated lifetime trauma and late-life depression and anxiety.

This study examined the influence of lifetime accumulated trauma on late-life mental health in a sample of 1,216 older adults, 65-94 years old, residing in New Zealand. Multiple regression analyses indicated that accumulated trauma predicted both depression and anxiety in this sample. The hypothesis that avoidance of memories and situations surrounding prior trauma mediates relationships between cumulative trauma and depression and anxiety was supported. Avoidance of prior traumatic memories and situations explained 49% of the variance between accumulated trauma and depression and 46% of the variance between accumulated trauma and anxiety. Results also suggest that traumatic experiences during young adulthood and middle age are stronger predictors of anxiety and depression among older adults than trauma experienced in childhood and adolescence.