Evidence map›Paper›PMID 35344609›Full record

ArticleJournal of community psychology2022

Testing a digitally distributed method to recruit a network of community organizations to fight the consequences of the drug epidemic: A study in 13 American states.

Haesung Jung, Aashna Sunderrajan, Marta Durantini, Edgardo Sanchez, Liliane Windsor, Man-Pui Sally Chan, Thomas O'Brien, Bita Fayaz Farkhad, Alex Karan, Carol A Lee and 2 more

Abstract read
In one paragraph

Article in Journal of community psychology, 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
–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

3 citing papers in PubMed.

  1. Article
  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

12 authors.

Haesung JungAnnenberg Public Policy Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Aashna SunderrajanDepartment of Medicine, University of Chicago, Chicago, Illinois, USA.
Marta DurantiniAnnenberg Public Policy Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Edgardo SanchezDepartment of Psychology, School of Social Work, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, USA.
Liliane WindsorDepartment of Psychology, School of Social Work, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, USA.
Man-Pui Sally ChanAnnenberg Public Policy Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Thomas O'BrienDepartment of Psychology, School of Social Work, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, USA.
Bita Fayaz FarkhadAnnenberg Public Policy Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Alex KaranDepartment of Psychology, School of Social Work, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, USA.
Carol A LeeDepartment of Psychology, School of Social Work, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, USA.
Soonhyung KwonDepartment of Psychology, School of Social Work, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, USA.
Dolores AlbarracínAnnenberg Public Policy Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

Digital, Community-Led, Social Action Initiative to Reduce Opioid Vulnerability and HIV/HCV in Rural Areas of the Midwest and AppalachiaDP1DA048570 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2019 to 2023
$4.0M
Mining Social Media Messages for HIV Testing and Prevention CommunicationR01MH114847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2018 to 2022
$2.9M
Development and validation of regional models of HIV vulnerabilities and solutionsR01AI147487 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2019 to 2022
$2.4M
NIAID NIH HHS R01 AI147487NIDA NIH HHS DP1 DA048570NIMH NIH HHS R01 MH114847
6 · The paper itself

Abstract

To mitigate the opioid epidemic, a concerted effort to educate, prevent, diagnose, treat, and engage residents is required. In this study, a digitally distributed method to form a large network of organizations was tested with 99 counties in regions with high vulnerability to hepatitis C virus (HCV). The method involved a cascade of contacts going from email to phone calls, to videoconferencing and measuring the number of contacts required, amount of time taken, and the proportion of success at recruiting at least one community organization per county. A recruitment period of 5 months and 2118 contact attempts led to the recruitment of organizations from 73 out of our 99 target counties. Organizations belonging to health departments required more attempts and time to recruit but ultimately enrolled at higher rates than did other organizations such as coalitions and agencies. Organizations from counties more (vs. less) vulnerable to HCV outbreaks required more attempts to recruit and, using multiple recruitment methods (e.g., emails, phone calls, and Zoom meetings), improved enrollment success. Overall, this method proved to be successful at remotely engaging a large-scale network of communities with different levels of risk within a large geographic region.

Indexed as

EpidemicsHepatitis CHumansOrganizationsUnited Statescommunity engagementHCVopioid userecruitmentrural health

Identifiers

PMID35344609
PMCPMC9464661

What OpenQuestion holds

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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.