Artificial Intelligence to Measure Adherence to Oral Medication

Purpose

The aims of this project is to use an artificial intelligence (AI) smartphone app to provide support for medication adherence by patients with first episode psychosis.

Condition

  • First Episode Psychosis

Eligibility

Eligible Ages
Between 15 Years and 40 Years
Eligible Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • Enrolled in a CSC program - Prescribed an oral antipsychotic

Exclusion Criteria

  • none

Study Design

Phase
Phase 4
Study Type
Interventional
Allocation
Randomized
Intervention Model
Parallel Assignment
Primary Purpose
Other
Masking
None (Open Label)

Arm Groups

ArmDescriptionAssigned Intervention
Experimental
Smartphone App 		artificial intelligence (AI) smartphone app to provide support for medication adherence
  • Other: Smartphone App
    artificial intelligence (AI) smartphone app to provide support for medication adherence
Active Comparator
Usual Care 		Usual care provided at CSC clinic
  • Other: Usual Care
    Usual Care provided by CSC clinic

Recruiting Locations

Citrus Health
Hialeah, Florida 33012

InterAct
Grand Rapids, Michigan 49503
Contact:
Jacob Gonzalez

InterAct of Michigan
Kalamazoo, Michigan 49007
Contact:
Dana Schrader

Red Rock
Oklahoma City, Oklahoma 73105

Family and Children's Services
Tulsa, Oklahoma 74315

More Details

Status
Recruiting
Sponsor
Northwell Health

Study Contact

Patricia Marcy, BSN
347-439-8035
pmarcy@northwell.edu

Detailed Description

The challenge of oral medication adherence in first-episode psychosis (as in any potentially chronic illness) is enormous, and numerous studies have linked non-adherence to increased rates of relapse/ hospitalization. Determining whether a patient is adhering to medication is a challenge. Pill counts, pharmacy records, technology-assisted monitoring, biological assays, and a range of self-report and interviewer-rated scales have been employed. In other areas of medicine such as antiretroviral treatment Direct Observation of Treatment (DOT) has been employed with excellent success both in monitoring and demonstrated improvement of important clinical outcomes. DOT is clearly not feasible in community settings. An artificial Intelligence (AI) platform that can be downloaded as an application onto a smart phone app represents a novel approach to offering DOT to support participant oral medication adherence and thereby improve outcomes. Aims of the project are: 1) to document acceptability to patients of the AI smartphone app based upon participation in the study and 2) to compare rates of hospitalization and emergency room visits between participants who receive the AI smartphone app with participants who receive standard care.