Work

Digital recovery networks: Characterizing user participation, engagement, and outcomes of a novel recovery social network smartphone application

Year: 2019

Type: article

Study design: Observational Study

Source: Journal of Substance Abuse Treatment

DOI: 10.1016/j.jsat.2019.11.005

Authors: Robert D. Ashford, Salvatore Giorgi, Beau Mann, Chris Pesce, Lon Sherritt, Lyle Ungar, Brenda Curtis

Institutions: University of the Sciences, University of Pennsylvania, National Institutes of Health, National Institute on Drug Abuse

Language: English

Topic: Substance Abuse Treatment and Outcomes

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: U.S. Department of Health and Human Services, National Institutes of Health, National Institute on Drug Abuse

Awards: G1000823965, Predicting AOD Relapse and Treatment Completion from Social Media Use, Leveraging Predictive Analytics Within Social Networks to Maximize Drug and Alcohol Treatment Efficacy and Relapse Prevention, G6969890512, LEVERAGING PREDICTIVE ANALYTICS WITHIN SOCIAL NETWORKS TO MAXIMIZE DRUG ANDALCOHOL TREATMENT EFFICACY AND RELAPSE PREVENTION

OpenAlex ID: W2987407170

FWCI: 1.713

Cites: 44

Cited by: 21

Related to: 10