Evidence map›Paper›PMID 37868738›Full record

ArticleProfessional psychology, research and practice2023

Minimal Effect of Messaging on Engagement in a Digital Anxiety Intervention.

Alexandra L Silverman, Jennifer M Boggs, Jeremy W Eberle, Megan Baldwin, Henry C Behan, Anna Baglione, Valerie Paolino, Ángel F Vela de la Garza Evia, Medhi Boukhechba, Laura Barnes and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Professional psychology, research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Minimal Effect of Messaging on Engagement in a Digital Anxiety Intervention.Professional psychology, research and practice · 2023
    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 at 4 institutions in 1 country.

Alexandra L SilvermanDepartment of Psychology, University of Virginia.
Jennifer M BoggsInstitute for Health Research, Kaiser Permanente Colorado.
Jeremy W EberleDepartment of Psychology, University of Virginia.
Megan BaldwinInstitute for Health Research, Kaiser Permanente Colorado.
Henry C BehanDepartment of Psychology, University of Virginia.
Anna BaglioneDepartment of Engineering Systems and Environment, University of Virginia.
Valerie PaolinoInstitute for Health Research, Kaiser Permanente Colorado.
Ángel F Vela de la Garza EviaDepartment of Engineering Systems and Environment, University of Virginia.
Medhi BoukhechbaDepartment of Engineering Systems and Environment, University of Virginia.
Laura BarnesDepartment of Engineering Systems and Environment, University of Virginia.
Daniel H FunkSartography, Staunton, Virginia.
Bethany A TeachmanDepartment of Psychology, University of Virginia.
Engineering Systems (United States) · USUniversity of Virginia · USKaiser Permanente · USStaunton Creative Community Fund · US

Funding

Effectiveness of interpretation training to reduce anxiety: Evaluating technology-based delivery models and methods to reduce attritionR01MH113752 · NIMH · UNIVERSITY OF VIRGINIA · PI TEACHMAN, BETHANY A · 2017 to 2020
$2.5M
NIMH NIH HHS R01 MH113752
6 · The paper itself

Abstract

This study evaluated the effectiveness of different recruitment messages for encouraging enrollment in a digital mental health intervention (DMHI) for anxiety among 1,600 anxious patients in a large healthcare system. Patients were randomly assigned to receive a standard message, or one of five messages designed to encourage enrollment: Three messages offered varying financial incentives, one message offered coaching, and one message provided consumer testimonials. Patients could then click a link in the message to visit the DMHI website, enroll, and start the first session. We examined the effects of message features and message length (short vs. long) on rates of site clicks, enrollment, and starting the first session. We also tested whether demographic and clinical factors derived from patients' electronic health records were associated with rates of enrollment and starting the first session to understand the characteristics of patients most likely to use DMHIs in this setting. Across messages, 19.4% of patients clicked a link to visit the DMHI website, but none of the messages were significantly associated with rates of site clicks, enrollment, or starting the first session. Females (vs. males) had a greater probability of enrollment. No other demographic or clinical variables were significantly associated with enrollment or starting the first session. Findings provide guidance for resource allocation decisions in larger scale DMHI implementations in healthcare settings.

Indexed as

anxietydigital mental healthimplementation scienceuser engagement

Identifiers

PMID37868738
PMCPMC10586207
OpenAlexW4321614408

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.