Evidence map›Paper›PMID 37255691›Full record

ArticleFrontiers in psychiatry2023

The Craving-Manager smartphone app designed to diagnose substance use/addictive disorders, and manage craving and individual predictors of relapse: a study protocol for a multicenter randomized controlled trial.

Fuschia Serre, Sarah Moriceau, Léa Donnadieu, Camille Forcier, Hélène Garnier, Jean-Marc Alexandre, Lucile Dupuy, Pierre Philip, Yannick Levavasseur, Etienne De Sevin and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04732676 (Efficacy of a Smartphone App Designed to Manage Craving and Individual Predictors of Substance Use / Addictive Behavior Among Individuals With Addictive Disorders), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT04732676 narecruitingnot on this map

Efficacy of a Smartphone App Designed to Manage Craving and Individual Predictors of Substance Use / Addictive Behavior Among Individuals With Addictive Disorders

TypeinterventionalSponsorCentre Hospitalier Charles Perrens, BordeauxRan2023 to 2028Enrolled274ConditionsAddictionArmsSmartphone application
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

12 authors.

Fuschia SerreUniversity of Bordeaux, Bordeaux, France.
Sarah MoriceauUniversity of Bordeaux, Bordeaux, France.
Léa DonnadieuUniversity of Bordeaux, Bordeaux, France.
Camille ForcierUniversity of Bordeaux, Bordeaux, France.
Hélène GarnierUniversity of Bordeaux, Bordeaux, France.
Jean-Marc AlexandreUniversity of Bordeaux, Bordeaux, France.
Lucile DupuyUniversity of Bordeaux, Bordeaux, France.
Pierre PhilipUniversity of Bordeaux, Bordeaux, France.
Yannick LevavasseurUniversity of Bordeaux, Bordeaux, France.
Etienne De SevinUniversity of Bordeaux, Bordeaux, France.
Marc AuriacombeUniversity of Bordeaux, Bordeaux, France.
for Craving-Manager RCT investigator group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rate of individuals with addiction who are currently treated are low, and this can be explained by barriers such as stigma, desire to cope alone, and difficulty to access treatment. These barriers could be overcome by mobile technologies. EMI (Ecological Momentary Intervention) is a treatment procedure characterized by the delivery of interventions (messages on smartphones) to people in their daily lives. EMI presents opportunities for treatments to be available to people during times and in situations when they are most needed. Craving is a strong predictor of relapse and a key target for addiction treatment. Studies using Ecological Momentary Assessment (EMA) method have revealed that, in daily life, person-specific cues could precipitate craving, that in turn, is associated with a higher probability to report substance use and relapse in the following hours. Assessment and management of these specific situations in daily life could help to decrease addictive use and avoid relapse. The Craving-Manager smartphone app has been designed to diagnose addictive disorders, and assess and manage craving as well as individual predictors of use/relapse. It delivers specific and individualized interventions (counseling messages) composed of evidence-based addiction treatments approaches (cognitive behavioral therapy and mindfulness). The Craving-Manager app can be used for any addiction (substance or behavior). The objective of this protocol is to evaluate the efficacy of the Craving-Manager app in decreasing use (of primary substance(s)/addictive behavior(s)) over 4 weeks, among individuals on a waiting list for outpatient addiction treatment. Methods/design: This multicenter double-blind randomized controlled trial (RCT) will compare two parallel groups: experimental group (full interventional version of the app, 4 weeks, EMA + EMI), versus control group (restricted version of the app, 4 weeks, only EMA). Two hundred and seventy-four participants will be recruited in 6 addiction treatment centers in France. Discussion: This RCT will provide indication on how the Craving-Manager app will reduce addictive use (e.g., better craving management, better stimulus control) in both substance and behavioral addictions. If its efficacy is confirmed, the app could offer the possibility of an easy to use and personalized intervention accessible to the greatest number of individuals with addiction. Clinical Trial Registration: ClinicalTrials.gov: NCT04732676.

Indexed as

addictioncognitive-behavioral therapycravingecological momentary interventionmHealthmobile phone appsrandomized controlled trialsubstance use disorders

Identifiers

PMID37255691
PMCPMC10226427

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Registered trials

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 OpenQuestion graph.