Anxiety Disorders, Depressive Disorder, Post Traumatic Stress Disorder, Substance Use Disorders
Conditions
Keywords
Case management, Artificial Intelligence, Provider productivity, Mental health services, Provider satisfaction
Brief summary
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: 1. Is the AI platform acceptable and feasible for case managers? 2. Does the AI platform improve providers' productivity and reported interventions? Participants will be approximately 30 case managers and their 250 adult clients receiving case management services. Researchers will compare the provider productivity and work satisfaction prior to the implementation of the AI platform to following its implementation.
Interventions
Providers will have access to the Eleos Health mobile AI platform to document their case management encounters.
Sponsors
Study design
Masking description
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.
Intervention model description
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
Eligibility
Inclusion criteria
FOR PROVIDERS: Participating providers must be Centerstone case managers. FOR CLIENTS: Inclusion Criteria: 1. Participants must be adults. 2. Participants must be receiving case management services from a Centerstone provider
Exclusion criteria
1. Participants currently involved in any other concurrent research study will be excluded to avoid potential confounding factors. 2. Participants with any medical conditions or medications that may significantly interfere with the study outcomes will be excluded.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Case manager satisfaction | Baseline, and 4 months after the rollout of the Eleos Health tool. | 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. |
| Case manager productivity | 3 months before and 3 month after study start date | 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. |
| Case manager note completion time | 3 months before and 3 month after study start date | We will record progress note completion time by hours since the time of service delivery (average, standard deviation, and range). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Clients' crisis services utilization | 6 months before and 6 month after study start date | Data on the clients' healthcare crisis encounters reported in the system will be collected |
Countries
United States