Evidence map›Paper›PMID 38009576›Full record

Trial reportAddiction (Abingdon, England)2024

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

Frederick Muench, Sean P Madden, Sherry Oommen, Sarah Forthal, Aradhana Srinagesh, Gertraud Stadler, Alexis Kuerbis, Robert F Leeman, Brian Suffoletto, Amit Baumel and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Addiction (Abingdon, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Frederick MuenchPartnership to End Addiction, New York, NY, USA.ORCID 0000-0002-2483-9594
Sean P MaddenZucker School of Medicine at Hofstra/Northwell, Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Sherry OommenPartnership to End Addiction, New York, NY, USA.
Sarah ForthalPartnership to End Addiction, New York, NY, USA.
Aradhana SrinageshPartnership to End Addiction, New York, NY, USA.
Gertraud StadlerCharité-Universitätsmedizin Berlin, Berlin, Germany.
Alexis KuerbisSilberman School of Social Work, Hunter College at CUNY, The Graduate Center at CUNY, New York, NY, USA.
Robert F LeemanDepartment of Health Sciences, College of Health and Human Performance, University of Florida, Gainesville, FL, USA.
Brian SuffolettoStanford University, Palo Alto, CA, USA.ORCID 0000-0002-9628-5260
Amit BaumelDepartment of Community Mental Health, University of Haifa, Haifa, Israel.
Cameron HaslipZucker School of Medicine at Hofstra/Northwell, Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Nehal P VadhanZucker School of Medicine at Hofstra/Northwell, Feinstein Institutes for Medical Research, Manhasset, NY, USA.
Jon MorgensternZucker School of Medicine at Hofstra/Northwell, Feinstein Institutes for Medical Research, Manhasset, NY, USA.

Funding

Tailored Adaptive Mobile Messaging to Reduce Problem DrinkingR01AA025058 · NIAAA · PARTNERSHIP TO END ADDICTION · PI MUENCH, FREDERICK JOHN · 2017 to 2021
$2.0M
NIAAA NIH HHS R01 AA025058NIAAA NIH HHS R01AA025058
6 · The paper itself

Abstract

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

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

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

participantsSeven 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).

interventionsTS 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.

findingsAt 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.

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

Indexed as

AlcoholismText MessagingAdultAlcohol DrinkingFemaleHumansMaleMotivationSingle-Blind MethodAdaptivealcoholclinical trialdigitalpersonalizationtext messaging

Identifiers

PMID38009576
PMCPMC10872985

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.