Evidence map›Paper›PMID 41703421›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Clinically Meaningful Improvement in Depression and Anxiety Among Psychiatry Patients Within a Measurement-Based Care Digital Mental Health Intervention: A Retrospective Analysis of Real-World Data from Rula Health.

Kelsey L McAlister, Lara Baez, Douglas Newton, Sam Seiniger, Allie Woodhouse, Jennifer Huberty

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. 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

6 authors.

Kelsey L McAlisterFit Minded, Inc, Phoenix, AZ, USA.ORCID 0000-0003-1548-4936
Lara BaezFit Minded, Inc, Phoenix, AZ, USA.ORCID 0000-0003-3342-2325
Douglas NewtonRula Health, Santa Clara, CA, USA.
Sam SeinigerRula Health, Santa Clara, CA, USA.ORCID 0009-0009-3777-2948
Allie WoodhouseRula Health, Santa Clara, CA, USA.ORCID 0009-0004-5127-0913
Jennifer HubertyFit Minded, Inc, Phoenix, AZ, USA.ORCID 0000-0002-0276-4640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression and anxiety are common, disabling conditions that often require sustained psychiatric care. While digital mental health interventions (DMHIs) offer scalable access, few integrate measurement-based care (MBC) to track outcomes such as minimal clinically important difference (MCID) and remission. The purpose of this study was to evaluate the rate and timing of MCID and remission in depression and anxiety among patients with elevated baseline depression and anxiety scores receiving psychiatry services through Rula Health, a MBC-based DMHI that connects patients with psychiatric care. Symptoms were assessed prior to psychiatric visits over a 24-week period and used to evaluate effect sizes, as well as rates of MCID and remission. Kaplan-Meier and Cox proportional hazards models were used to estimate the timing of MCID and remission, and to identify demographic and clinical factors associated with achieving each outcome. A total of 7124 adults with elevated depression symptoms and 7628 with elevated anxiety symptoms at baseline were included. Depression and anxiety symptoms decreased with large effect sizes (

Indexed as

AnxietyDepressionMental Health ServicesAdultDigital HealthFemaleHumansMaleMiddle AgedRetrospective StudiesTelemedicineanxietydepressiondigital mental healthmeasurement based caretelepsychiatry

Identifiers

PMID41703421
PMCPMC12921206

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.