Evidence map›Paper›PMID 35582861›Full record

ArticleSubstance use & misuse2022

A Scoping Review of Computer-Based and Telecommunication Technology Interventions to Address Drug and Alcohol Misuse and Smoking in Women.

Yukiko Washio, Yusuke Hayashi, Sravanthi Atreyapurapu, Katie Chang, Tony Ma, Brittni N Howard, Isa van der Drift, Felicia A Browne, Wendee M Wechsberg

Open access · greenAbstract readScoping Review
In one paragraph

Article in Substance use & misuse, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

9 authors at 4 institutions in 1 country.

Yukiko WashioSubstance Use, Gender and Applied Research, RTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0002-3882-2953
Yusuke HayashiDepartment of Psychology, Pennsylvania State University, Hazelton, Pennsylvania, USA.
Sravanthi AtreyapurapuBenten Technologies, Inc, Manassas, Virginia, USA.
Katie ChangBenten Technologies, Inc, Manassas, Virginia, USA.
Tony MaBenten Technologies, Inc, Manassas, Virginia, USA.
Brittni N HowardSubstance Use, Gender and Applied Research, RTI International, Research Triangle Park, North Carolina, USA.
Isa van der DriftSubstance Use, Gender and Applied Research, RTI International, Research Triangle Park, North Carolina, USA.
Felicia A BrowneSubstance Use, Gender and Applied Research, RTI International, Research Triangle Park, North Carolina, USA.
Wendee M WechsbergSubstance Use, Gender and Applied Research, RTI International, Research Triangle Park, North Carolina, USA.
Benten Technologies (United States) · USRTI International · USUniversity of North Carolina at Chapel Hill · USPennsylvania State University · US

Funding

Young Women-Focused HIV Prevention: Seek & Test in NC ClinicsR01DA041009 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI BROWNE, FELICIA AMIRA, WECHSBERG, WENDEE M · 2015 to 2019
$4.1M
Ending the HIV Epidemic with Equity: An All-facility Intervention to Reduce Structural Racism and Discrimination and Its Impact on Patient and Healthcare Staff WellbeingR01NR020583 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Felicia Amira Browne, Corina Lelutiu-Weinberger · 2022 to 2026
$3.2M
Mobile behavioral intervention to reduce maternal drinking in South AfricaR21AA029048 · NIAAA · RESEARCH TRIANGLE INSTITUTE · PI WASHIO, YUKIKO · 2021 to 2022
$347k
SAFE4BOTH integration of mobile technologies with case management (CM) systems provide education, work flow among multiple stakeholders to implement Plan of Safe Care (POSC) for SUD mom and infantsR43DA048673 · NIDA · BENTEN TECHNOLOGIES, INC. · PI MA, TONY XUYEN · 2019 to 2019
$225k
NIAAA NIH HHS R21 AA029048NIDA NIH HHS HHSN271201600019CNIDA NIH HHS R01 DA041009NIDA NIH HHS R43 DA048673NINR NIH HHS R01 NR020583
6 · The paper itself

Abstract

backgroundComputer-based and telecommunication technology has become increasingly common to address addiction among women. This review assessed the effect of technology-based interventions on substance misuse, alcohol use, and smoking outcomes among women.

methodsThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for scoping reviews (PRISMA-ScR) guideline was used to conduct the scoping review. Four databases (PubMed, Web of Science, PsycINFO, and Scopus) were used to search for peer-reviewed articles published in English on computer-based and telecommunication technology use to address substance misuse, alcohol use, and smoking among women.

resultsA total of 30 articles were selected after the final full-text review from the U.S., England, Japan, and the Netherlands. The types of technology used in the interventions included computer software (standalone or web-based), mobile applications, video calling, phone, and text messaging. Intervention outcomes included alcohol and other substance misuse reduction as polysubstance misuse (

conclusionAlthough effective in reducing alcohol and other substance misuse, mixed findings were identified for other outcomes targeting a single substance. Technology-based interventions might maximize their effects by targeting polysubstance misuse and addressing associated contextual issues in the form of a computer-delivered module(s).

Indexed as

AlcoholismText MessagingAdolescentAdultComputersFemaleHumansPregnancyTechnologyTobacco Smokingalcohol useinterventionssmokingsubstance misusetechnologytelecommunicationWomen

Identifiers

PMID35582861
PMCPMC10083725
OpenAlexW4280611009

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.