An In Depth Study Evaluating The Experiences of Patients In Schizophrenia Research
NCT ID: NCT05870722
Last Updated: 2023-05-23
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
NOT_YET_RECRUITING
500 participants
OBSERVATIONAL
2024-06-30
2026-06-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Several people will be invited to enroll in this study so that it may collect a variety of data about schizophrenia clinical trial experiences and identify barriers to participation as well as the causes of participants' failure or withdrawal.
The data collected from this study will be analyzed and used to improve the experiences of future schizophrenia patients who are recruited for medical trials.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Assessment of Schizophrenia Patients' Clinical Study Experiences
NCT05948111
Effects of Motivating People With Schizophrenia to Exercise
NCT00559572
Safety and Efficacy of Study Drug Versus Placebo for Negative Symptoms of Schizophrenia
NCT00063297
Investigation of Neurophysiological Markers, Possibly Specific of Two Subforms of Psychotic Disorders
NCT03649581
Pain and Schizophrenia
NCT01244542
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.
CASE_CROSSOVER
PROSPECTIVE
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Patient has been diagnosed with schizophrenia
* Patient is a minimum of 18 years or older
Exclusion Criteria
* Inability to perform regular electronic reporting
* Patient is pregnant
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Power Life Sciences Inc.
INDUSTRY
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.
Michael B Gill
Role: STUDY_DIRECTOR
Power Life Sciences Inc.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
References
Explore related publications, articles, or registry entries linked to this study.
Barnett PG, Scott JY, Rosenheck RA; CSP 555 Study Group. How do clinical trial participants compare to other patients with schizophrenia? Schizophr Res. 2011 Aug;130(1-3):34-9. doi: 10.1016/j.schres.2011.03.033. Epub 2011 Apr 22.
Kishimoto T, Robenzadeh A, Leucht C, Leucht S, Watanabe K, Mimura M, Borenstein M, Kane JM, Correll CU. Long-acting injectable vs oral antipsychotics for relapse prevention in schizophrenia: a meta-analysis of randomized trials. Schizophr Bull. 2014 Jan;40(1):192-213. doi: 10.1093/schbul/sbs150. Epub 2012 Dec 17.
Maric NP, Jovicic MJ, Mihaljevic M, Miljevic C. Improving Current Treatments for Schizophrenia. Drug Dev Res. 2016 Nov;77(7):357-367. doi: 10.1002/ddr.21337. Epub 2016 Sep 16.
Provided Documents
Download supplemental materials such as informed consent forms, study protocols, or participant manuals.
Document Type: Informed Consent Form
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
84771018
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.