Effectiveness of text message interventions with different behavior change techniques on alcohol consumption among young adults: a five-arm randomized controlled trial

A text message intervention aimed at nurturing peer outreach to help meet drinking limit goals: A remote pilot randomized trial in non-collegiate young adults

OBJECTIVE

Scalable interventions attempting to nurture peer outreach to help young adults meet drinking limit goals remain under-developed. To address this gap, we developed ASPIRE, a text message intervention focused on coaching individuals to engage with close peers to assist them in meeting drinking limit goals.

METHOD

Non-collegiate young adults who had reported one or more heavy drinking days in the preceding month and were at least contemplating change were recruited through social media. Participants were randomly assigned to one of three 6-week text message interventions: Control, Goal Support, or ASPIRE. All groups completed baseline assessments and received weekly text message assessments on Thursdays and Sundays. Control and ASPIRE groups were prompted to complete web-based outcome assessments at 6- and 12-weeks.

RESULTS

We enrolled 92 young adults from 31 US states (65% female; 73% White). All groups had high text response rates but intervention usability was sub-optimal. Follow-up rates were 87% at 6-weeks and 79% at 12-weeks. Compared to Control, ASPIRE participants reported significantly more peer support and less peer pressure to drink. ASPIRE exhibited higher goal confidence compared to the Goal Support group. Using multiple imputation, there were no significant differences in drinking outcomes between groups.

CONCLUSIONS

Preliminary findings from this pilot study suggest that a text message intervention focused on nurturing peer outreach to help meet drinking limit goals holds promise in altering peer support and pressure as well as boosting drinking limit goal confidence. Design improvements are needed to reduce alcohol consumption.

Automated, tailored adaptive mobile messaging to reduce alcohol consumption in help-seeking adults: A randomized controlled trial

AIMS

To test differential outcomes between three 6-month text-messaging interventions to reduce at-risk drinking in help-seeking adults.

DESIGN

A three-arm single-blind randomized controlled trial with 1-, 3-, 6- and 12-month follow-ups.

SETTING

United States. A fully remote trial without human contact, with participants recruited primarily via social media outlets.

PARTICIPANTS

Seven hundred and twenty-three adults (mean = 39.9 years, standard deviation = 10.0; 62.5% female) seeking to reduce their drinking were allocated to 6 months of baseline 'tailored statically' messaging (TS; n = 240), 'tailored adaptive' messaging (TA; n = 239) or 'drink tracking' messaging (DT; n = 244).

INTERVENTIONS

TS consisted of daily text messages to reduce harmful drinking that were tailored to demographics and alcohol use. TA consisted of daily, tailored text messages that were also adapted based on goal achievement and proactive prompts. DT consisted of a weekly assessment for self-reported drinking over the past 7 days.

MEASUREMENTS

The primary outcome measure was weekly sum of standard drinks (SSD) at 6-month follow-up. Secondary outcome measures included drinks per drinking day (DDD), number of drinking days (NDD) per week and heavy drinking days (HDD) at 1-, 3-, 6- and 12-month follow-ups.

FINDINGS

At 6 months, compared with DT, TA resulted in significant SSD reductions of 16.2 (from 28.7 to 12.5) drinks [adjusted risk ratio (aRR) = 0.80, 95% confidence interval (CI) = 0.71, 0.91] using intent-to-treat analysis. TA also resulted in significant improvements in DDD (aRR = 0.84; 95% CI = 0.77-0.92) and drinking days per week (b = -0.39; 95% CI = -0.67, -0.10), but not HDD compared with DT at 6 months. TA was not significantly different from TS at any time-point, except DDD at 6 months. All groups made improvements in SSD at 12-month follow-up compared with baseline with an average reduction of 12.9 drinks per week across groups.

CONCLUSIONS

Automated tailored mobile messaging interventions are scalable solutions that can reduce weekly alcohol consumption in remote help-seeking drinkers over time.

Prediction Rules Identify Which Young Adults Have Higher Rates of Heavy Episodic Drinking After Exposure to 12-Week Text Message Interventions

BACKGROUND

An alcohol text message intervention recently demonstrated effects in reducing heavy episodic drinking (HED) days at the three month follow-up in young adults with a history of hazardous drinking. An important next step in understanding intervention effects involves identifying baseline participant characteristics that predict who will benefit from intervention exposure to support clinical decision-making and guide further intervention development. To identify baseline characteristics that predict HED, this exploratory study used a prediction rule ensemble (PRE). Compared to more complex decision-tree methods (e.g., random forest), PREs have comparable performance, while generating simpler rules that can directly identify subgroups that do or do not respond to intervention.

METHODS

This secondary analysis examined data from 916 young adults who reported HED (68.5% female, mean age = 22.1, SD = 2.1), were enrolled in an alcohol text message randomized clinical trial and who completed baseline assessment and the three month follow-up. A PRE with ten fold cross-validation, which included 21 baseline variables representing sociodemographic characteristics (e.g., sex, age, race, ethnicity, college enrollment), alcohol consumption (frequency of alcohol consumption, quantity consumed on a typical drinking day, frequency of HED), impulsivity subscales (i.e., negative urgency, positive urgency, lack of premeditation, lack of perseverance, sensation seeking), readiness to change, perceived peer drinking and HED-related consequences, and intervention status were used to predict HED at the three month follow-up.

RESULTS

The PRE identified 12 rules that predicted HED at three months (R2 = 0.23) using 7 baseline features. Only two cases (0.2%) were not classified by the 12 rules. The most important features for predicting three month HED included baseline alcohol consumption, negative urgency score, and perceived peer drinking.

CONCLUSIONS

The rules provide interpretable decision-making tools that predict who has higher alcohol consumption following exposure to alcohol text message interventions using baseline participant characteristics (prior to intervention), which highlight the importance of interventions related to negative urgency and peer alcohol use.

Trajectory classes of engagement with an alcohol text message intervention and predictors of intervention engagement

Digital interventions have increased our capacity to reach young adults who have hazardous alcohol use. Alcohol text message interventions have shown small effects in reducing hazardous drinking, leaving room for improvement. An important challenge to address in improving digital interventions is maintaining engagement, which reflects the "dose" of intervention received. This study aimed to identify trajectory classes of engagement with an alcohol text message intervention, and baseline predictors of the trajectory classes to determine "for whom" the digital intervention was more versus less engaging, to guide further intervention tailoring. This secondary analysis examined data from a study that compared five 12-week alcohol text message interventions designed to reduce hazardous drinking in young adults (aged 18-25; N = 1,131, 68% female) recruited from Emergency Departments in Western Pennsylvania. Engagement with the intervention was based on response (present/absent) to text message queries delivered twice per week during 2-week run-in and 12-week intervention. Repeated measures latent profile analysis identified five latent trajectory classes as having the best fit to the data: "High engagement" (55.1%), "Slow decrease, moderate engagement" (23.2%); "Mid-way decrease in engagement" (8.9%), "Steadily decreasing engagement" (8.1%); and "Fluctuating, moderate engagement" (4.6%). Females and individuals enrolled in college were overrepresented in the high engagement trajectory class, whereas individuals higher in impulsivity were more likely to be in decreasing (versus high) engagement trajectory classes. Methods to boost engagement using, for example, motivational enhancement for young adults with higher levels of impulsivity, at specific time points, such as the mid-point of the intervention, warrant consideration.