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Original Investigation
April 8, 2024

A Brief Intervention With Instant Messaging or Regular Text Messaging Support in Reducing Alcohol Use: A Randomized Clinical Trial

Author Affiliations
  • 1School of Nursing, The University of Hong Kong, Hong Kong, SAR, China
  • 2Children’s Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
  • 3School of Public Health, The University of Hong Kong, Hong Kong, SAR, China
  • 4Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, SAR, China
  • 5Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, SAR China
JAMA Intern Med. 2024;184(6):641-649. doi:10.1001/jamainternmed.2024.0343
Key Points

QuestionÌý Is an alcohol brief intervention (ABI) followed by mobile chat-based instant messaging support for alcohol reduction more effective than ABI plus short message service (SMS) support on general health topics for reducing alcohol use in university students?

FindingsÌý In this randomized clinical trial of 772 students at risk of alcohol use disorder, those who received the ABI plus 3 months of chat-based instant messaging support for alcohol reduction lowered their consumption by approximately 11 g/wk at a 6-month follow-up vs the comparator group.

MeaningÌý Findings of this study indicate that an ABI followed by 3 months of mobile chat-based instant messaging support was effective in reducing alcohol use among university students.

Abstract

ImportanceÌý Alcohol use is prevalent among university students. Mobile instant messaging apps could enhance the effectiveness of an alcohol brief intervention (ABI), but the evidence is scarce.

ObjectiveÌý To evaluate the effectiveness of an ABI plus 3 months of mobile chat-based instant messaging support for alcohol reduction in university students at risk of alcohol use disorder.

Design, Setting, and ParticipantsÌý In this randomized clinical trial, 772 students at risk of alcohol use disorder (Alcohol Use Disorders Identification Test [AUDIT] score ≥8) were recruited from 8 universities in Hong Kong between October 15, 2020, and May 12, 2022. Participants were randomly assigned 1:1 to either the intervention or control group.

InterventionsÌý Both groups received the same ABI at baseline, which consisted of face-to-face or video conferencing with research nurses who delivered personalized feedback based on the participant’s AUDIT risk level, along with a 12-page booklet describing the benefits of alcohol reduction and the harmful effects of alcohol on health and social well-being. The intervention group then received 3 months of chat-based instant messaging support on alcohol reduction guided by behavioral change techniques. The control group received 3 months of short message service (SMS) messaging on general health topics.

Main Outcomes and MeasuresÌý All outcomes were self-reported. The primary outcome was alcohol consumption in grams per week at 6 months of follow-up. By definition, 1 alcohol unit contains 10 g of pure alcohol. Secondary outcomes at the 6-month follow-up included changes in AUDIT score, weekly alcohol consumption, intention to drink in the next 30 days, drinking frequency and any binge or heavy drinking in the past 30 days, and self-efficacy of quitting drinking. The primary analysis followed the intention-to-treat principle, and linear regression (reported as unstandardized coefficient B) and logistic regression (reported as odds ratios) were used to compare the primary and secondary outcomes between the intervention and control groups.

ResultsÌý The study included 772 students (mean [SD] age, 21.1 [3.5] years; 395 females [51.2%]) who were randomly assigned to either the intervention (n = 386) or control (n = 386) group. In the intention-to-treat analysis, the intervention group had lower alcohol consumption in grams per week (B, −11.42 g [95% CI, −19.22 to −3.62 g]; P = .004), a lower AUDIT score (B, −1.19 [95% CI, −1.63 to −0.34]; P = .003), reduced weekly alcohol unit consumption (B, −1.14 [95% CI, −1.92 to −0.36]; P = .004), and less intention to drink (odds ratio, 0.66 [95% CI, 0.47 to 0.92]; P = .01) at the 6-month follow-up compared with the control group. In analyses adjusted for baseline characteristics, interacting at least once with the research nurse on the instant messaging application resulted in lower estimated alcohol consumption in grams per week (adjusted B, −17.87 g [95% CI, −32.55 to −3.20 g]; P = .01), lower weekly alcohol unit consumption (adjusted B, −1.79 [95% CI, −3.25 to −0.32]; P = .02), and a lower AUDIT score (adjusted B, −0.53 [95% CI, −1.87 to −0.44]; P = .01) at 6 months.

Conclusions and RelevanceÌý Results of this randomized clinical trial indicate that mobile chat-based instant messaging support for alcohol reduction in addition to an ABI was effective in reducing alcohol consumption in university students in Hong Kong at risk of alcohol use disorder.

Trial RegistrationÌý ClinicalTrials.gov Identifier:

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2 Comments for this article
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AA
James Derby, Medical Doctor | Community Hospital - Northwest Florida, USA
From the standpoint of the Medical Model for treatment of AUD, this is encouraging. I’m wondering if alcoholics anonymous as such exists in Hong Kong? And if so, how common place is it? Because, in my opinion, once alcoholism the disease is established, AA continues to be the best treatment option.
CONFLICT OF INTEREST: None Reported
Factors inherently pertaining to college students
Dhruv Jain, MBBS | ABVIMS and Dr. RML Hospital
Chau et al. have made an interesting and unique discovery regarding AUD management that is relevant to the current times. There is an increasing use of instant messaging services in the field of healhcare, both as doctor-patient communication and between healthcare providers themselves. SMS is falling out of favour and has been subject to privacy concerns.
Elucidating a positive link between instant messaging and favourable outcomes in AUD is helpful and convenient to both providers and patients.
However, we would like to know the other factors that college students are subjected to, such as academic stress, use of social media
or changing peer interactions would affect alcoholic tendencies over time.

There may be bias in regard to the changing social media habits or changing peer groups of the participants in the study, which may not paint a fully accurate picture of the results.

References:
1. Nascimento IJBD, Oliveira JAQ, Wolff IS, Ribeiro LD, Silva MVRSE, Cardoso CS, Mars M, Ribeiro AL, Marcolino MS. Use of smartphone-based instant messaging services in medical practice: a cross-sectional study. Sao Paulo Med J. 2020 Jan-Feb;138(1):86-92. doi: 10.1590/1516-3180.2020.0010.R1.28032020. PMID: 32321110; PMCID: PMC9673850.

2. Drake AL, Rothschild C, Jiang W, Ronen K, Unger JA. Utility of Short Message Service (SMS) for Remote Data Collection for HIV in Low- and Middle-Income Countries. Curr HIV/AIDS Rep. 2020 Dec;17(6):654-662. doi: 10.1007/s11904-020-00534-x. Epub 2020 Oct 3. PMID: 33010003; PMCID: PMC7532340.

3. Kessler TA, Kurtz CP. Influencing the Binge-Drinking Culture on a College Campus. Nurse Educ. 2019 Mar/Apr;44(2):106-111. doi: 10.1097/NNE.0000000000000559. PMID: 29994998.

4. Brunborg GS, Andreas JB, Kvaavik E. Social Media Use and Episodic Heavy Drinking Among Adolescents. Psychol Rep. 2017 Jun;120(3):475-490. doi: 10.1177/0033294117697090. Epub 2017 Jan 1. PMID: 28558617.
CONFLICT OF INTEREST: None Reported
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