Evidence map›Paper›PMID 40763603›Full record

Trial reportGeneral hospital psychiatry

Adapting depression collaborative care models to increase uptake of computerized cognitive behavioral therapy at the VA: A pilot randomized controlled trial.

Lucinda B Leung, Catherine E Brayton, Sona Hovsepian, Michael A Karakashian, Karen Chu, Nicholas J Jackson, Paul G Shekelle, Alison B Hamilton, Elizabeth M Yano, Bruce L Rollman and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in General hospital psychiatry. 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

11 authors.

Lucinda B LeungCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA; Division of General Internal Medicine-Health Services Research, David Geffen School of Medicine, University of California Los Angeles, 10833 Le Conte Ave., Los Angeles, CA 90095, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute for Neuroscience and Human Behavior, 760 Westwood Plaza, Los Angeles, CA 90095, USA. Electronic address: lleung@mednet.ulca.edu.
Catherine E BraytonCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA. Electronic address: catherine.brayton@va.gov.
Sona HovsepianCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA. Electronic address: sona.hovsepian@va.gov.
Michael A KarakashianCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA. Electronic address: michael.karakashian@va.gov.
Karen ChuCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA.
Nicholas J JacksonDivision of General Internal Medicine-Health Services Research, David Geffen School of Medicine, University of California Los Angeles, 10833 Le Conte Ave., Los Angeles, CA 90095, USA.
Paul G ShekelleCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA; Division of General Internal Medicine-Health Services Research, David Geffen School of Medicine, University of California Los Angeles, 10833 Le Conte Ave., Los Angeles, CA 90095, USA. Electronic address: paul.shekelle@va.gov.
Alison B HamiltonCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute for Neuroscience and Human Behavior, 760 Westwood Plaza, Los Angeles, CA 90095, USA. Electronic address: alison.hamilton@va.gov.
Elizabeth M YanoCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA; Division of General Internal Medicine-Health Services Research, David Geffen School of Medicine, University of California Los Angeles, 10833 Le Conte Ave., Los Angeles, CA 90095, USA; Department of Health Policy & Management, UCLA Fielding School of Public Health, 650 Charles E Young Dr., Los Angeles, CA 90095, USA. Electronic address: eyano@ucla.edu.
Bruce L RollmanDivision of General Internal Medicine, University of Pittsburgh School of Medicine, 1218 Scaife Hall, 3550 Terrace Street, Pittsburgh, PA 15213, USA; Center for Behavioral Health, Media and Technology, University of Pittsburgh School of Medicine, 230 McKee Place, Suite 600, Pittsburgh, PA 15213, USA.
Alexander S YoungCenter for the Study of Healthcare Innovation, Implementation & Policy, Veterans Affairs Greater Los Angeles Healthcare System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute for Neuroscience and Human Behavior, 760 Westwood Plaza, Los Angeles, CA 90095, USA; VA VISN 22 Mental Illness Research, Education, and Clinical Center, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA. Electronic address: ayoung@ucla.edu.

Funding

HSRD VA I01 HX003635HSRD VA IK2 HX002867HSRD VA IK6 HX002836
6 · The paper itself

Abstract

objectiveTo examine the feasibility, acceptability, and potential health effects of computerized cognitive behavioral therapy-enhanced collaborative care (cCBT-CC) versus usual primary care (UC).

backgroundInternet-based cCBT can effectively treat depression but is not widely used, including in the Veterans Health Administration where it was freely available for veterans. We adapted pre-existing depression collaborative care models using implementation and user-centered design strategies to facilitate cCBT implementation.

methodsThis pilot randomized controlled trial (RCT) included 57 VA primary care patients to cCBT-CC or UC. Participants had Patient Health Questionnaire (PHQ-9) scores of 10+. Those with serious mental illness (e.g., bipolar depression, schizophrenia) and active suicidality were excluded. Intervention patients received tailored Vets Prevail cCBT accompanied by collaborative care manager support, overseen by psychiatry and primary care. UC offered collaborative care services and digital mental health tools at baseline. Feasibility (patient reach, provider adoption, intervention implementation), acceptability (CSQ-8), and potential effectiveness (PHQ-9) data was collected at baseline and 3-months by a blinded study team member.

resultsParticipants (cCBT-CC n = 29, UC n = 28) were 50 years old (mean); 70 % men; 32 % White, 32 % Hispanic, 25 % Black; 21 % homeless-experienced. Mean baseline PHQ-9 scores were 15.1 (SD = 5.0); 39 % reported suicidal thoughts/behaviors. 72 % of 94 primary care providers, from 6 out of the 8 participating clinics, helped support their patients' participation. cCBT-CC participants received 4 care manager check-ins over 33 days totaling 113 min (64 % clinical; 36 % technical), on average. They completed mean 6.7 out of 11 cCBT lessons. Participants in the cCBT-CC arm experienced a statistically (not clinically) significant decline in the primary outcome of depression (Δ = -2.5; p = 0.02) symptoms from pretreatment to posttreatment. There was a greater, albeit non-significant, decrease in PHQ-9 scores among cCBT-CC participants over 3-months, compared to UC participants (Δ = -2.8; 95 % CI = -5.6, -0.01; p = 0.05).

conclusionscCBT-enhanced collaborative care appeared feasible, acceptable, and possibly effective in treating primary care patients with depression.

Indexed as

Cognitive Behavioral TherapyDepressive DisorderPatient Acceptance of Health CarePrimary Health CareTherapy, Computer-AssistedVeterans Health ServicesAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsUnited StatesUnited States Department of Veterans AffairsCollaborative careComputerized cognitive behavioral therapyDepressionImplementationPrimary care

Identifiers

PMID40763603
PMCPMC12832191

What OpenQuestion holds

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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.