Evidence map›Paper›PMID 33238732›Full record

ArticleHealth communication2022

Intraindividual, Dyadic, and Network Communication in a Digital Health Intervention: Distinguishing Message Exposure from Message Production.

Ranran Z Mi, Rachel Kornfield, Dhavan V Shah, Adam Maus, David H Gustafson

Open access · greenAbstract read
In one paragraph

Article in Health communication, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Observational
  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

5 authors at 1 institution in 1 country.

Ranran Z MiSchool of Journalism and Mass Communication, University of Wisconsin-Madison.ORCID 0000-0003-2113-3876
Rachel KornfieldPreventive Medicine, Feinberg School of Medicine, Northwestern University.
Dhavan V ShahSchool of Journalism and Mass Communication, University of Wisconsin-Madison.
Adam MausCenter for Health Enhancement Systems Studies, University of Wisconsin-Madison.
David H GustafsonCenter for Health Enhancement Systems Studies, University of Wisconsin-Madison.
University of Wisconsin–Madison · US

Funding

Heart-Related Multiple Chronic Conditions in Primary Care: Behavioral TechnologyR01HL134146 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GUSTAFSON, DAVID H, MAHONEY, JANE E · 2017 to 2021
$4.2M
Contextualized daily prediction of lapse risk in opioid use disorder by digital phenotypingR01DA047315 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI CURTIN, JOHN J., SHAH, DHAVAN · 2019 to 2023
$3.4M
Implementing Technology-Assisted Drug Treatment and relapse prevention in FQHCsR01DA034279 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI GUSTAFSON, DAVID H, MARSCH, LISA A. · 2012 to 2016
$3.3M
Multidisciplinary Training Program in Digital Mental HealthT32MH115882 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Darren Gergle, DAVID CURTIS MOHR · 2018 to 2026
$2.4M
NHLBI NIH HHS R01 HL134146NIDA NIH HHS R01 DA034279NIDA NIH HHS R01 DA047315NIMH NIH HHS T32 MH115882
6 · The paper itself

Abstract

Communicating within digital health interventions involves a range of behaviors that may contribute to the management of chronic illnesses in different ways. This study examines whether communication within a smartphone-based application for addiction recovery produces distinct effects depending on 1) the "level" of communication, defined as intraindividual communication (e.g., journal entries to oneself); dyadic communication (e.g., private messaging to other individuals); or network communication (e.g., discussion forum posts to all group members), and 2) whether individuals

Indexed as

Substance-Related DisordersText MessagingChronic DiseaseCommunicationHumans

Identifiers

PMID33238732
PMCPMC8144230
OpenAlexW3107180812

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.