Examining the role of a brief online alcohol use risk feedback on accessing information about available treatment resources for alcohol issues

Tuliao, Antover P.; Mullet, Natira; Hawkins, Lindsey G.; Holyoak, Derek; Weerts, Marisa; Gudenrath, Travis

doi:10.1016/j.addbeh.2019.05.004

Cited by 4 publications

(7 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One locally designed help-seeking app Wiljer, Shi [29], for example, used a map-based database to link users with help, with the possibility of adding additional resources and sharing personal experiences. Although this app, did not change help-seeking intentions, other studies [22,33,34] providing local resources found mixed findings on help-seeking attitudes, intentions and behaviour. These are further summarized in Appendix 3, http://links.lww.com/YCO/A67.…”

Section: Resultsmentioning

confidence: 62%

The impact of digital interventions on help-seeking behaviour for mental health problems: a systematic literature review

Evans‐Lacko

Hahn

Peter

et al. 2022

Current Opinion in Psychiatry

View full text Add to dashboard Cite

Purpose of reviewInterventions that facilitate help-seeking could help individuals to get care earlier on which could also help avert some mental health crises. Delivering interventions via a digital format could mitigate some key barriers to mental healthcare. We reviewed the literature for digital interventions which facilitate formal or informal help-seeking for mental health problems. We examined the impact of identified interventions on actual and intended help-seeking and attitudes towards help-seeking.Recent findingsWe identified 35 interventions. About half (51%) of studies showed an improvement in at least one help-seeking outcome with the greatest number showing an improvement in help-seeking intentions and the fewest studies showing an improvement in actual behaviour (29%). Findings suggest that interventions that promote active participation and personal involvement through sharing one's own narrative seem to be promising practices to facilitate help-seeking.SummaryOur findings suggest digital interventions can improve help-seeking for mental health problems among a range of populations. Given speciality mental health resources are scarce, further research needs to consider how these interventions could best target the most vulnerable groups to link them with mental healthcare and how these interventions might facilitate earlier intervention in a way that might reduce need for crisis care and support.

show abstract

Section: Resultsmentioning

confidence: 62%

The impact of digital interventions on help-seeking behaviour for mental health problems: a systematic literature review

Evans‐Lacko

Hahn

Peter

et al. 2022

Current Opinion in Psychiatry

View full text Add to dashboard Cite

show abstract

“…Drinking outcomes over 8 weeks were compared College freshmen, past-month alcohol use ( n = 454); age: NA Motivational interviewing, Brief Intervention (with feedback) Randomized trial: Both LR groups decreased drinking in both education groups, but more decrease in low LR group with the LRB educational protocol; high LR group demonstrated slightly better outcomes with SOTA protocol; small to medium effect sizes Schwinn, 2018 [ 72 ]* USA Any substance RealTeen Intervention sessions guided by older, animated narrator; focus on goal setting, decision making, puberty, body image, coping, drug knowledge, refusal skills (two sessions), and a review Girls, general population ( n = 788); age range 11–15 Psychoeducation; Skills training; Goal setting; Social learning theory; Resiliency framework Randomized trial: Intervention group smoked fewer cigarettes, less binge drinking and higher alcohol, cigarette, and marijuana refusal skills than controls, and less peer drug use vs. controls Schwinn, 2019 [ 73 ]* USA Any substance See above See above See above Randomized trial At 2-yr. follow-up, for intervention group less past-month cigarette, marijuana, and “other” drug use; lower peer drug use, increased scores on drug refusal skills vs. controls; at 3-yr. follow-up, for intervention group less past-mo. cigarette and e-cigarette use, lower peer drug use, increased drug refusal skills vs. controls Tuliao, 2019 [ 74 ] USA Alcohol Brief online feedback intervention for risk of alcohol use. Intervention provides participants with their alcohol risk levels and offers info on professional help to those with problematic alcohol use College students ( n = 721); mean age 20.81 (SD: 2.49) Brief feedback intervention Mixed method study: Feedback group sig.…”

Section: Resultsmentioning

confidence: 99%

“…Web-based interventions were the most commonly used technology (14/39), with most (8/14) targeting alcohol use: Alcooquiz [ 61 ], One Too Many [ 66 ], the DEAL project [ 67 ], the Geisner et al intervention. [ 68 ], Miller et al intervention [ 70 ], Schuckit et al intervention [ 71 ], Tuliao et al intervention [ 74 ] and ALERTA ALCOHOL [ 75 ]. All 8 interventions for alcohol use were early interventions, mainly geared to young adults, and all, except the DEAL project , provided users with feedback on their alcohol use (e.g., risks, consequences) [ 61 , 66 , 68 , 70 , 71 , 74 , 75 ].…”

Section: Resultsmentioning

confidence: 99%

“…[ 68 ], Miller et al intervention [ 70 ], Schuckit et al intervention [ 71 ], Tuliao et al intervention [ 74 ] and ALERTA ALCOHOL [ 75 ]. All 8 interventions for alcohol use were early interventions, mainly geared to young adults, and all, except the DEAL project , provided users with feedback on their alcohol use (e.g., risks, consequences) [ 61 , 66 , 68 , 70 , 71 , 74 , 75 ]. Two web-based interventions targeted tobacco use (2/14): Let’s talk about smoking [ 62 ], and the Put it Out Project [ 76 ].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Digital interventions for substance use disorders in young people: rapid review

Monarque

Sabetti

Ferrari

2023

Subst Abuse Treat Prev Policy

View full text Add to dashboard Cite

Background Young people are disproportionately more likely than other age groups to use substances. The rise in substance use and related harms, including overdose, during the Covid-19 pandemic has created a critical need for more innovative and accessible substance use interventions. Digital interventions have shown effectiveness and can provide more engaging, less stigmatizing, and accessible interventions that meet the needs of young people. This review provides an overview of recent literature on the nature of recently published digital interventions for young people in terms of technologies used, substances targeted, intended outcomes and theoretical or therapeutic models employed. Methods Rapid review methodology was used to identify and assess the literature on digital interventions for young people. An initial keyword search was conducted using MEDLINE the Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects (DARE), Health Technology Assessment Database (HTA) and PROSPERO for the years 2015–2020, and later updated to December 2021. Following a title/abstract and full-text screening of articles, and consensus decision on study inclusion, the data extraction process proceeded using an extraction grid developed for the study. Data synthesis relied on an adapted conceptual framework by Stockings, et al. that involved a three-level treatment spectrum for youth substance use (prevention, early intervention, and treatment) for any type of substance. Results In total, the review identified 43 articles describing 39 different digital interventions. Most were early interventions (n = 28), followed by prevention interventions (n = 6) and treatment interventions (n = 5). The identified digital technologies included web-based (n = 14), game-based (n = 10), mobile-based (n = 7), and computer-based (n = 5) technologies, and virtual reality (n = 3). Most interventions targeted alcohol use (n = 20) followed by tobacco/nicotine (n = 5), cannabis (n = 2), opioids (n = 2), ketamine (1) and multiple, or any substances (n = 9). Most interventions used a personalized or normative feedback approach and aimed to effect behaviour change as the intended outcome. Interestingly, a harm reduction approach guided only one of the 39 interventions. Conclusions While web-based interventions represented the most common type of technology, more recently developed immersive and interactive technologies such as virtual reality and game-based interventions call for further exploration. Digital interventions focused mainly on alcohol use, reflecting less concern for tobacco, cannabis, co-occurring substance use, and illicit drug use. Specifically, the recent exacerbation in the opioid crisis throughout North American underlines the urgent need for more prevention-oriented digital interventions for opioid use. The uptake of digital interventions among youth also depends on the incorporation of harm reduction approaches.

show abstract

“…Data for this study was part of a larger study on college student help-seeking behavior and was advertised as such to an undergraduate student subject pool (SONA system) at a large public university in the southwest USA. The larger study focused more on college students' mental health and substance use help-seeking behaviors and intent (Tuliao & Holyoak, 2020;Tuliao et al, 2019). There are no substantial overlaps between prior published studies and this study.…”

Section: Participantsmentioning

confidence: 89%

Searching for Mental Health Services: Search Strings and Information Acquisition

Tuliao

Mullet

Hawkins

et al. 2022

J. technol. behav. sci.

Self Cite

View full text Add to dashboard Cite

Based on decision sciences and information processing theories, how information is acquired is the foundation of decisions and choices subsequently made. Adapting the Active Information Search methodology, the aim for this study is to examine what information potential mental health clients look for in a service provider through their use of search strings. College students (N = 519) from a large public university from the southwest USA (data collection from August to December 2018) were asked in an online survey to imagine themselves needing mental health services and list down the search string they would use in a search engine (e.g., Google). Content analysis indicated seven search string categories: location of nearby services, symptoms, types of services/specialty, asking for advice, questions about resources, questions about whether they have a problem, and looking for the "best." Further, multivariate logistic analysis indicated that gender, psychological distress, perceived normativeness of utilizing mental health services, and type of medical insurance were associated with the type of search string the participant used in searching for mental health services. Understanding how individuals search for mental health services can help guide mental health practitioners in what information should be included in their websites. Further findings and implications are discussed.

show abstract

Examining the role of a brief online alcohol use risk feedback on accessing information about available treatment resources for alcohol issues

Cited by 4 publications

References 24 publications

The impact of digital interventions on help-seeking behaviour for mental health problems: a systematic literature review

The impact of digital interventions on help-seeking behaviour for mental health problems: a systematic literature review

Digital interventions for substance use disorders in young people: rapid review

Searching for Mental Health Services: Search Strings and Information Acquisition

Contact Info

Product

Resources

About