Evidence map›Paper›PMID 29606226›Full record

Trial reportJournal of substance abuse treatment2018

A pilot study of a smartphone application supporting recovery from drug addiction.

Di Liang, Hui Han, Jiang Du, Min Zhao, Yih-Ing Hser

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of substance abuse treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 6 pooled it
3.9field-weighted citation impact, top 6% of its field
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

23 citing papers in PubMed, 6 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

5 authors at 2 institutions in 3 countries.

Di LiangUniversity of California, Los Angeles, USA.
Hui HanShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, China.
Jiang DuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, China.
Min ZhaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, China.
Yih-Ing HserUniversity of California, Los Angeles, USA; China Medical University, Taiwan. Electronic address: yhser@ucla.edu.
Shanghai Jiao Tong University · CNUniversity of California, Los Angeles · US

Funding

Improving Methadone Maintenance Treatment Compliance and Outcomes in ChinaR21DA025252 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSER, YIH-ING · 2008 to 2009
$337k
Real-Time Assessment of Triggers and Coping Responses in ChinaR21DA033285 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSER, YIH-ING · 2012 to 2013
$330k
NIDA NIH HHS R21 DA025252NIDA NIH HHS R21 DA033285
6 · The paper itself

Abstract

backgroundMobile health (mHealth) technologies have the potential to facilitate self-monitoring and self-management for individuals with substance use disorders (SUD). S-Health is a bilingual smartphone application based on cognitive behavioral principles and is designed to support recovery from drug addiction by trigger recognition so as to allow practice in-the-moment coping to prevent relapse.

methodFor this pilot randomized controlled study, 75 participants were recruited from methadone maintenance treatment clinics and the social worker consortium in Shanghai, China. Participants in the control group (N=25) received text messages from S-Health (e.g., HIV prevention and other educational materials). Participants in the intervention group (N=50) received both text messages and daily surveys on cravings, affects, triggers, responses to triggers, and social contexts.

resultsAt the end of the 1-month study trial, 26.2% of the intervention group and 50% of the control group had positive urine test results (p=0.06). Also, the number of days using drug in the past week was significantly lower among participants in the intervention group (Mean=0.71, SD=1.87) relative to the control group (Mean=2.20, SD=3.06) (p<0.05). The two groups did not differ in slopes (i.e., rates of change in outcomes measured weekly) based on the mixed effects model. Participants in the intervention group also preferred answering questions on the cellphone (46.8%) relative to in-person interviews (36.2%).

conclusionsThis pilot demonstrated the feasibility and potential benefits to deliver mobile health intervention among participants with SUD. Further research with larger samples over a longer period of time is needed to test the effectiveness of S-Health as a self-monitoring tool supporting recovery from addiction.

Indexed as

SmartphoneTelemedicineAdultChinaFemaleHumansMaleMental Health RecoveryPilot ProjectsSelf CareSubstance-Related DisordersText MessagingMobile health technologiesSelf-monitoringSubstance use disorders

Identifiers

PMID29606226
PMCPMC5884452
OpenAlexW2790678139

What OpenQuestion 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 OpenQuestion graph.