Evidence

Clinical science developed over more than two decades.

MindStreet's digital CBT foundation is supported by research spanning randomized trials, comparisons with clinician-delivered CBT, sustained outcomes, health economics, neuroimaging, and combination use with pharmacotherapy.

Randomized studiesNIH-funded researchPrimary care evidenceHealth-economic analysisNeuroimaging evidenceDirect esketamine combination evidence

Six lines of evidence

What the research base covers.

Randomized clinical evidenceMultiple studies across settings and populations.
Comparable to traditional CBTEvaluated against full-course clinician-delivered CBT.
Durable outcomesResponse and remission measured beyond completion.
Health-economic valueCost of treatment weighed against clinical benefit.
Neurobiological validationImaging of treatment-associated change in connectivity.
Combination therapyDirect randomized evidence with esketamine.

The headline findings

What the trials actually showed.

16.6 → 5.5

Hours of therapist time per patient, standard CBT against computer-assisted CBT, in the NIH-funded multi-site trial at the University of Louisville and the University of Pennsylvania. Both arms saw a significant and equivalent reduction in depression scores.

84%

Completion rate across both arms of that trial, with over 150 patients participating between the two sites.

2.4 / 2.0

Substantial pre–post effect sizes were observed for computer-assisted CBT (2.4) and standard CBT (2.0).

A more recent study of CCBT with Good Days Ahead randomized 175 primary-care patients to CCBT with twelve 20-minute clinician support sessions or treatment as usual. Depression, anxiety and quality-of-life ratings favoured CCBT after treatment, with evidence of lasting effects at 3 and 6 months. It was presented at the National Network of Depression Centers Annual Meeting and is being prepared for publication.

Evidence timeline: each point opens its study summary

20022005201820192020Today

LINK EACH STATISTIC TO ITS PUBLICATION BEFORE LAUNCH

Peer-reviewed publications

The published record.

2020
Improving Cost-effectiveness and Access to Cognitive Behavior Therapy for Depression: Providing Remote-Ready, Computer-Assisted Psychotherapy in Times of Crisis and BeyondThase ME, McCrone P, Barrett MS, Eells TD, Wisniewski SR, Balasubramani GK, Brown GK, Wright JH · Psychotherapy and Psychosomatics, 89:307–313
2020
Computer-assisted CBT and Mobile Apps for Depression: Assessment and Integration into Clinical CareWright JH, Mishkind M · Focus, 0:1–7
2019
Computer-assisted cognitive-behavior therapy and mobile apps for depression and anxietyWright JH, Mishkind M, Eells TD, Chan SR · Current Psychiatry Reports, 21(7):62
2019
Computer-assisted Cognitive-Behavior Therapy for Depression: A systematic review and meta-analysisWright JH, Owen JJ, Eells TD, Richards D, Richardson T, Brown GK, Barrett M, Rasku MA, Polser G, Thase ME · Journal of Clinical Psychiatry, 80(2)
2019
Dissemination of computer-assisted cognitive-behavior therapy for depression in primary careAntle BF, Owen JJ, Eells TD, Wells MJ, Harris LM, Cappiccie A, Wright B, Williams SM, Wright JH · Contemporary Clinical Trials, 78:46–52
2018
Computer-Assisted Cognitive-Behavior Therapy in Medical Care SettingsWright JH, McCray LW, Eells TD, Gopalraj R, Bishop LB · Current Psychiatry Reports, 20:92
2018
Computer-assisted Cognitive-behavior Therapy for Depression in Primary Care: Systematic Review and Meta-analysisWells MJ, Owen JJ, McCray LW, Bishop LB, Eells TD, Brown GK, Richards D, Wright JH · Primary Care Companion for CNS Disorders, 20(2)
2018
Improving the Efficiency of Psychotherapy for Depression: Computer-Assisted Versus Standard CBTThase ME, Wright JH, Eells TD, Barrett MS, Wisniewski SR, Balasubramani GK, McCrone P, Brown GK · American Journal of Psychiatry, 175(3):242–250
2014
Computer-assisted cognitive-behavior therapy for depressionEells TD, Barrett MS, Wright JH, Thase ME · Psychotherapy, 51(2):191–197
2005
Computer-assisted cognitive therapy for depression: maintaining efficacy while reducing therapist timeWright JH, Wright AS, Albano AM, Basco MR, Goldsmith LJ, Raffield T, Otto MW · American Journal of Psychiatry, 162:1158–1164
2002
Development and initial testing of a multimedia program for computer-assisted cognitive therapyWright JH, Wright AS, Salmon P, Beck AT, Kuykendall J, Goldsmith J, Zickel MB · American Journal of Psychotherapy, 56(1):76–86

In the pipeline

Studies underway.

Further studies of computer-assisted CBT with Good Days Ahead are underway at the University of Pennsylvania, Yale University, the University of Michigan, Indiana University and Purdue University, including one with ketamine and another using fMRI to observe the impact on brain activity.

University of PennsylvaniaYale UniversityUniversity of MichiganIndiana UniversityPurdue UniversityKetamine combinationfMRI

Case studies

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Case study 1

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Challenge
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Deployment
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Clinical Outcome
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Operational Outcome
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Economic Outcome
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Lesson
What should another organization learn?

Case study 2

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Deployment
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Clinical Outcome
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Operational Outcome
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Economic Outcome
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Lesson
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Case study 3

COPY NEEDED
Challenge
What was not working?
Population
Who was served?
Deployment
How was MindStreet implemented?
Engagement
Who participated?
Clinical Outcome
What changed?
Operational Outcome
What improved?
Economic Outcome
What value was created?
Lesson
What should another organization learn?

How each one is written

Challenge, population, deployment, engagement, clinical outcome, operational outcome, economic outcome, lesson. One study at a time, with a human or operational narrative rather than a logo wall.

Named logos and quantified outcomes are published only with permission and supporting documentation.

Outcomes & ROI

Make the resources you already fund work harder.

Organizations have invested in benefits, provider networks, applications, navigation, and employee assistance. MindStreet improves the performance of the ecosystem by identifying need earlier and directing people toward the right existing resource.

The right care, at the right time, without delays, denials, or deferrals.

From mental health spend to measurable value

Built to pay for itself.

The problem is not always insufficient supply. It is often fragmented access, low utilization, poor matching, and limited follow-through. Closing that gap returns value on four separate lines.

Reduced mental health claims

Earlier identification and right-sized care lower high-cost downstream claims.

Fewer wellness days lost

Prompt, stigma-free support keeps people functioning instead of falling out.

Lower turnover and rehiring

Supported employees stay, cutting the steep cost of backfilling roles.

Less absenteeism and presenteeism

Monitoring and relapse prevention protect day-to-day productivity.

Estimate only. Results vary and are not guaranteed. Based on covered lives of 2.2× employees and an average care cost of approximately $17,000 per employee per year.

ROI calculator

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Adjust your headcount and salary to model estimated annual savings and ROI. Every figure here is an estimate.

What is the gap costing you?

Enter one number. We will estimate what closing your mental health gap is worth.

125,000

Measurable value across the system

Better outcomes for people. Better performance for the organizations supporting them.

    Bring the evidence to your clinical or benefits committee.

    We'll walk the trials, the methodology and the limitations with your team.