A New Paradigm for Illness Monitoring and Relapse Prevention in Schizophrenia
NCT ID: NCT01952041
Last Updated: 2019-06-21
Study Results
Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.
View full resultsBasic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
NA
149 participants
INTERVENTIONAL
2015-03-13
2017-08-07
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Prediction of Relapse in Schizophrenia/Schizoaffective Disorder With Smartphones and On-body Sensors
NCT02224430
Feasibility and Acceptability of a Smartphone App to Assess Early Warning Signs of Psychosis Relapse
NCT03558529
Improving Medication Adherence Among People With Schizophrenia Through the Use of 2-way Pagers
NCT00392236
Development of a Mobile System for Self-management of Schizophrenia (SOS)
NCT01969500
MedActive: A Smartphone Intervention to Improve Adherence to Antipsychotic Medications
NCT01953237
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Device: Smartphone
Participants in the smartphone intervention arm received treatment as usual in addition to receiving a smartphone with the study application. The study application identified relapse risk and prompted the clinical team to provide enhanced services.
Device: Smartphone
Treatment as Usual
Treatment as usual included outpatient case management, linkage to services and medication monitoring.
Treatment as usual
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Device: Smartphone
Treatment as usual
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* 18 years or older
* An inpatient psychiatric hospitalization, daytime psychiatric hospitalization, outpatient crisis management, or short-term psychiatric hospital emergency room within 12 months before study entry
* Willing and able to provide informed consent
Exclusion Criteria
* 6th grade reading level (determined by Wide Range Achievement Test- 4th Edition)
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Dartmouth-Hitchcock Medical Center
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Dror Ben-Zeev, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Washington
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Zucker Hillside Hospital
Glen Oaks, New York, United States
Countries
Review the countries where the study has at least one active or historical site.
Provided Documents
Download supplemental materials such as informed consent forms, study protocols, or participant manuals.
Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
MH103148-01 D14022
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.