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| Name | Class |
|---|---|
| Centerstone Research Institute | OTHER |
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The goal of this clinical trial is to assess the effectiveness of an artificial intelligence (AI) platform for case managers in a nonprofit health system specializing in mental health and substance use disorder. The main questions it aims to answer are:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Services-as-usual (SAU) | No Intervention | During the services-as-usual (SAU) phase of this study, providers will deliver the routine case management services offered by Centerstone and report these services in the usual way they do. | |
| Artificial Intelligence (AI) | Experimental | Once randomized to start using the AI-based platform for documenting their services, providers will have access to the Eleos Health platform, a secure and HIPAA-compliant tool specifically designed for documenting behavioral health encounters. This AI-powered platform enables providers to complete progress notes more quickly. Providers will complete the progress notes on their phones, and these notes will be integrated into the client's electronic health records. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Artificial Intelligence platform for case managers | Other | Providers will have access to the Eleos Health mobile AI platform to document their case management encounters. |
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| Measure | Description | Time Frame |
|---|---|---|
| Case manager satisfaction | Providers will complete a self-report assessment about their experience providing case management services. Providers will be asked to (a) report the number of of hours spent on documentation per week; (b) respond on a Likert Scale (1-5, 1="Not at all" and 5="highly stressed" regarding their stress level about documentation; and (c) respond on a Likert scale 1-5 (1="Not at all satisfied", 5="Highly satisfied"), indicating their satisfaction with their current role as a case manager. | Baseline, and 4 months after the rollout of the Eleos Health tool. |
| Case manager productivity | We will collect the number of encounters (i.e., case management visits provided) per month in the three months preceding the start of the study, and months 3-6 after the AI platform rollout. | 3 months before and 3 month after study start date |
| Case manager note completion time | We will record progress note completion time by hours since the time of service delivery (average, standard deviation, and range). | 3 months before and 3 month after study start date |
| Measure | Description | Time Frame |
|---|---|---|
| Clients' crisis services utilization | Data on the clients' healthcare crisis encounters reported in the system will be collected | 6 months before and 6 month after study start date |
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FOR PROVIDERS:
Participating providers must be Centerstone case managers.
FOR CLIENTS:
Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centerstone | Alton | Illinois | 62002 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36147984 | Background | Kellogg KC, Sadeh-Sharvit S. Pragmatic AI-augmentation in mental healthcare: Key technologies, potential benefits, and real-world challenges and solutions for frontline clinicians. Front Psychiatry. 2022 Sep 6;13:990370. doi: 10.3389/fpsyt.2022.990370. eCollection 2022. | |
| 33242025 | Background | Sadeh-Sharvit S, Hollon SD. Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study. JMIR Ment Health. 2020 Nov 26;7(11):e20646. doi: 10.2196/20646. |
| Label | URL |
|---|---|
| Link to Eleos Health's science page | View source |
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The confidentiality and privacy of the participants' data are paramount, and sharing individual-level data could compromise their privacy. Therefore, the study does not include provisions for sharing IPD with other researchers.
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| ID | Term |
|---|---|
| D003866 | Depressive Disorder |
| D001008 | Anxiety Disorders |
| D019966 | Substance-Related Disorders |
| D013313 | Stress Disorders, Post-Traumatic |
| ID | Term |
|---|---|
| D019964 | Mood Disorders |
| D001523 | Mental Disorders |
| D064419 | Chemically-Induced Disorders |
| D040921 | Stress Disorders, Traumatic |
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| ID | Term |
|---|---|
| D000071959 | Case Managers |
| ID | Term |
|---|---|
| D006282 | Health Personnel |
| D005159 | Health Care Facilities Workforce and Services |
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This study will follow a stepped-wedge, randomized controlled design, where each provider team will undergo two phases: SAU and the AI platform phase. All teams will initially start with SAU, and the AI platform will be sequentially introduced to teams over time. Teams will be randomly assigned to different time periods for the AI platform phase using simple randomization. The order of implementation will be determined by randomly selecting the number of the team from sealed envelopes every two months. In both phases, the study will enroll new and existing clients. At the end of the trial all teams would have used Eleos for a few months
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The masking in this study involves a differential approach between providers and clients. Providers will be aware of whether they are in the Services-As-Usual (SAU) or Artificial Intelligence (AI) phase. However, participating clients will not be informed about the platform their provider is using to document their therapy sessions.
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| 37428547 | Background | Sadeh-Sharvit S, Camp TD, Horton SE, Hefner JD, Berry JM, Grossman E, Hollon SD. Effects of an Artificial Intelligence Platform for Behavioral Interventions on Depression and Anxiety Symptoms: Randomized Clinical Trial. J Med Internet Res. 2023 Jul 10;25:e46781. doi: 10.2196/46781. |
| Link to Centerstone Research Institute | View source |
| D000068099 | Trauma and Stressor Related Disorders |