Evidence map›Paper›PMID 41217259›Full record

Trial reportJMIR mental health2025

Dashboard Intervention for Tracking Digital Social Media Activity in the Clinical Care of Individuals With Mood and Anxiety Disorders: Randomized Trial.

Leslie Miller, Tenzin C Lhaksampa, Alex Walker, Carlos Aguirre, Matthew DeCamp, Keith Harrigian, Jennifer Meuchel, Aja M Meyer, Brittany Nesbitt, Sazal Sthapit and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Leslie MillerDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, 550 North Broadway, Suite 201, Baltimore, MD, 21218, United States, 1 4106141923.ORCID 0000-0002-9199-1174
Tenzin C LhaksampaDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0002-1272-1329
Alex WalkerDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0002-0522-3719
Carlos AguirreDepartment of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0002-3570-2032
Matthew DeCampDepartment of Internal Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0002-9371-8729
Keith HarrigianDepartment of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0001-9483-8469
Jennifer MeuchelDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, 550 North Broadway, Suite 201, Baltimore, MD, 21218, United States, 1 4106141923.ORCID 0000-0001-5648-5973
Aja M MeyerCenter for Behavioral Health, Johns Hopkins All Children's Hospital, St. Petersburgh, FL, United States.ORCID 0009-0006-9084-6895
Brittany NesbittCenter for Developmental Behavioral Health, Kennedy Krieger Institute, Baltimore, MD, United States.ORCID 0009-0002-5821-6560
Sazal SthapitDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, 550 North Broadway, Suite 201, Baltimore, MD, 21218, United States, 1 4106141923.ORCID 0009-0002-8078-0790
Jason StraubDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, 550 North Broadway, Suite 201, Baltimore, MD, 21218, United States, 1 4106141923.ORCID 0009-0003-6366-5392
Danielle VirgadamoCenter for Developmental Behavioral Health, Kennedy Krieger Institute, Baltimore, MD, United States.ORCID 0009-0003-6366-9115
Ayah ZiriklyDepartment of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0002-8441-1741
Mark DredzeDepartment of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0002-0422-2474
Margaret S ChisolmDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, 550 North Broadway, Suite 201, Baltimore, MD, 21218, United States, 1 4106141923.ORCID 0000-0001-7424-919X
Peter P ZandiDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Johns Hopkins University, 550 North Broadway, Suite 201, Baltimore, MD, 21218, United States, 1 4106141923.ORCID 0000-0001-8423-2623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital social activity, defined as interactions on social media and electronic communication platforms, has become increasingly important. Social factors impact mental health and can contribute to depression and anxiety. Therefore, incorporating digital social activity into routine mental health care has the potential to improve outcomes. Objective: This study aimed to compare treatment augmented with an electronic dashboard of patient's digital social activity versus treatment-as-usual on patient-rated outcomes symptoms of depression in a randomized trial of patients with mood and anxiety disorders. Methods: We developed a personalized electronic dashboard summarizing a participant's digital social activity. This dashboard, collaboratively discussed during mental health visits, was used to augment clinical care and tested in a randomized trial against treatment-as-usual. Clinicians and patients were recruited from outpatient psychiatry clinics. Patients were eligible if they were 12 years or older and were receiving treatment for a mood or anxiety disorder. Psychiatric symptoms measures for depression (primary outcome measure) and anxiety (secondary outcome measure) were obtained at each clinic visit as part of measurement-based standard of care. Baseline and 3-month follow-up assessments included a measure of mental health status and therapeutic alliance measure. Collateral information and clinical action scale were also collected at each visit. Results: A total of 103 patients consented to participate, 97 of whom were randomized to the dashboard arm (n=49) or the treatment-as-usual arm (n=48). There were no differences in psychiatry symptom rating scores or mental health status between the two arms. However, there was a significant increase in the discussion of digital social activity with the intervention, and it did not appear to change patient therapeutic alliance. Conclusions: The incorporation of a personalized electronic dashboard into clinical care was feasible and led to an increased discussion of digital social activity, but there was no impact on mental health outcomes.

Indexed as

Anxiety DisordersMood DisordersSocial MediaAdultFemaleHumansMaleMiddle Agedanxietyelectronic dashboardmeasurement-based caremood disordersrandomized trialsocial media

Identifiers

PMID41217259
PMCPMC12604431

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Registered trials

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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.