- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03071939
Cognate Patient Care Insight Scale (EIPSP)
Pilot Study of a New Insight Assessment Tool
Study Overview
Status
Conditions
Detailed Description
Study Type
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Bron Cedex, France, 69678
- Centre Hospitalier le Vinatier
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Diagnosis of schizophrenia
- Age from 18 to 50 years old
- Stabilized clinical condition (without therapeutic modification during the month prior to inclusion)
- French language read, spoken and understood (patient and family member)
- Having given his consent
- Agreement of the guardian for persons under guardianship
- Consent of the relative
Exclusion Criteria:
- Refusal of patient or legal guardian
- Refusal of the loved one
- Patient and / or neurological disorder of neurological origin of vascular, infectious or neurodegenerative origin
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Other: patients with schizophrenia and their designated relatives
Evaluation of the patient's insight (an inclusion phase, followed by two evaluation phases on D0 and D7) by the patient, his / her close and two caregivers (inter-judicial fidelity)
|
This study will evaluate the insight of the patient, something carried out in common practice within the Eastern Pole (CH Le Vinatier). This assessment will take place in the specific services where patients are cared for. It will make it possible to evaluate insight more closely by comparing the opinions of the three actors. There is no risk in this study. The study will be carried out over 2 years with a recruitment of 119 patients responding to the diagnosis of schizophrenia, taken care of within the Eastern Pole (Intra and Extrahospital services). |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Concurrent validity of the hetero-evaluation scale by studying its correlation with the results obtained, for the same persons, on the SUMD scale (Scale to Assess Unawareness of Mental Disorder)
Time Frame: two years
|
Correlation higher than 0.40 in the Bravais-Pearson test between the caregiver's hetero-evaluation scale and the Scale to Assess Understanding of Mental Disorder (SUMD)
|
two years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Correlation greater than 0.40 to inter-judge fidelity to Cohen's Kappa test
Time Frame: two years
|
Inter-judicial fidelity will be measured with Cohen's Kappa test, which is a coefficient to measure the agreement between two qualitative variables with the same modalities. Conventionally, it is used to measure the degree of concordance between the stages Awarded by two judges. It can also be applied to measure an intra-observer agreement. The closer the ratio is to 1, the closer the gap between the observed chord proportion and the theoretical proportion of "random" chords approaches the gap between the perfect tuning of the two observers and their random match. The coefficient is always between -1 and 1 (maximum agreement). |
two years
|
|
Cronbach's alpha coefficient with a value of 0.7 measuring internal consistency
Time Frame: two years
|
Internal consistency will be measured with the Cronbach alpha coefficient, sometimes referred to simply as the coefficient. Which is a statistic used especially in psychometrics to measure the internal consistency (or reliability) of the questions asked during a test (the answers to the questions on the same subject to be correlated). Its value is between 0 and 1, being considered "acceptable" from 0.7. It therefore allows estimation of the fidelity of the score to a test. |
two years
|
|
Correlation greater than 0.40 at the Bravais-Pearson test measuring test fidelity, re-testing
Time Frame: two years
|
This coefficient makes it possible to detect the presence or absence of a linear relationship between two continuous quantitative characters.
To calculate this coefficient, one must first calculate the covariance.
Covariance is the mean of the product of deviations from the mean.
The linear correlation coefficient of two characters X and Y is equal to the covariance of X and Y divided by the product of the standard deviations of X and Y.
It can be shown that this coefficient varies between -1 and +1
|
two years
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: MAGES Nicolas, MDPH, Centre Hospitalier le Vinatier
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2016-A01716-45
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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