Evidence map›Paper›PMID 39879612›Full record

ArticleJMIR mental health2025

Testing the Feasibility, Acceptability, and Potential Efficacy of an Innovative Digital Mental Health Care Delivery Model Designed to Increase Access to Care: Open Trial of the Digital Clinic.

Natalia Macrynikola, Kelly Chen, Erlend Lane, Nic Nguyen, Jennifer Pinto, Shirley Yen, John Torous

Abstract read
In one paragraph

Article in JMIR mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

7 authors.

Natalia MacrynikolaBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.ORCID 0000-0003-2988-5503
Kelly ChenBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.ORCID 0009-0002-8071-6641
Erlend LaneBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.ORCID 0009-0005-7120-2755
Nic NguyenBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.ORCID 0009-0007-5364-3682
Jennifer PintoBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.ORCID 0009-0009-4024-4978
Shirley YenBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-7194-1380
John TorousBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-5362-7937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health concerns have become increasingly prevalent; however, care remains inaccessible to many. While digital mental health interventions offer a promising solution, self-help and even coached apps have not fully addressed the challenge. There is now a growing interest in hybrid, or blended, care approaches that use apps as tools to augment, rather than to entirely guide, care. The Digital Clinic is one such model, designed to increase access to high-quality mental health services.

objectiveTo assess the feasibility, acceptability, and potential efficacy of the Digital Clinic model, this study aims to conduct a nonrandomized open trial with participants experiencing depression, anxiety, or both, at various levels of clinical severity.

methodsClinicians were trained in conducting brief transdiagnostic evidence-based treatment augmented by a mental health app (mindLAMP); digital navigators were trained in supporting participants' app engagement and digital literacy while also sharing app data with both patients and clinicians. Feasibility and acceptability of this 8-week program were assessed against a range of benchmarks. Potential efficacy was assessed by calculating pre-post change in symptoms of depression (Patient Health Questionnaire-9; PHQ-9), anxiety (7-item Generalized Anxiety Disorder; GAD-7), and comorbid depression and anxiety (Patient Health Questionnaire Anxiety and Depression Scale; PHQ-ADS), as well as rates of clinically meaningful improvement and remission. Secondary outcomes included change in functional impairment, self-efficacy in managing emotions, and flourishing.

resultsOf the 258 enrolled participants, 215 (83.3%) completed the 8-week program. Most were White (n=151, 70.2%) and identified as cisgender women (n=136, 63.3%), with a mean age of 41 (SD 14) years. Feasibility and acceptability were good to excellent across a range of domains. The program demonstrated potential efficacy: the average PHQ-9 score was moderate to moderately severe at baseline (mean 13.39, SD 4.53) and decreased to subclinical (mean 7.79, SD 4.61) by the end of the intervention (t

conclusionsResults suggest that the Digital Clinic model is feasible, acceptable, and potentially efficacious, warranting a future randomized controlled trial to establish the efficacy of this innovative model of care.

Indexed as

Health Services AccessibilityMental Health ServicesMobile ApplicationsPatient Acceptance of Health CareAdultDepressionFeasibility StudiesFemaleHumansMaleMiddle AgedTelemedicineaccess to caredigital interventionsdigital navigatorevidence-based treatmentmobile phonetransdiagnostic treatment

Identifiers

PMID39879612
PMCPMC11822323

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.