The aim of this project is to determine the value of a dynamic network approach to predict illness course and outcome of early psychotic symptoms.
ID
Source
Brief title
Condition
- Schizophrenia and other psychotic disorders
Synonym
Research involving
Sponsors and support
Intervention
Outcome measures
Primary outcome
Network parameters of individuals in different clinical stages will be
compared. These network parameters include the strength and directionality of
symptom connections and centrality indices. Also, within-individual changes in
these network parameters (from baseline to follow-up) will be linked to
progression through clinical stages.
Secondary outcome
Please, see "primary study parameters" for the most important primary and
secundary study parameters.
Background summary
Psychotic disorders are among the most severe mental disorders in terms of
individual and societal impact. Our current ability to predict the course and
outcome of early psychotic symptoms is limited; this hampers timely
intervention and treatment. Research in this area to date relies heavily on
diagnostic categories, group-level comparisons and assessment of static symptom
levels. However, symptoms may wax, wane or change individually and regularly
cross diagnostic borders. To improve our understanding of the development of
psychosis, we propose to re-conceptualize psychopathology as a dynamic system
of fluctuating symptoms that impact on each other, over time and across
diagnostic boundaries, forming symptom networks. These networks can then be
used to predict progression through subsequent stages of clinical severity. We
hypothesize that 1) distinct symptom network characteristics will be
differentially associated with need for care and illness course, and that 2)
dynamic networks based on multiple symptom domains will predict
psychopathological development better than commonly used predictors that are
based on cross-sectional levels of early psychotic expressions.
Study objective
The aim of this project is to determine the value of a dynamic network approach
to predict illness course and outcome of early psychotic symptoms.
Study design
At baseline and optionally at 1-year follow-up, participants will report their
day-to-day symptoms, affective states and (stressful) experiences for three
consecutive months. Symptomatology, functioning and need for care will be
assessed every year by means of questionnaires and interviews.
Study burden and risks
There are no risks involved in participating in the study. The burden
associated with participation consists of: an interview before (2 hours) and
after (1 hour) the ambulatory assessment period, filling in a diary using a
mobile application every evening for three months at baseline (5-15 minutes per
day), and three follow up assessments (1 hour per assessment). Participants are
given the option to repeat the ambulatory assessments in year 2, which has a
similar burden to the first. Benefits are an increased insight in one*s own
daily mood states and symptoms, and person-specific factors that may promote
the reduction of these symptoms.
Hanzeplein 1
Groningen 9713 GZ
NL
Hanzeplein 1
Groningen 9713 GZ
NL
Listed location countries
Age
Inclusion criteria
All participants:
- Are aged between 18 and 35 years
- Read and speak Dutch fluently
- Should be capable of following the research procedures
- Provide Informed Consent;Participants subsample 1:
- Are currently (i.e. at moment of screening) not in clinical care for mental health (e.g. GGZ, POH-GGZ, Psychologist);Participants subsample 2:
- Are currently in clinical care for mental health
- Have mild, non-psychotic psychopathology, as evidenced by a score below 6 on the Prodromal Questionnaire (PQ) ;Participants subsample 3:
- Are currently in clinical care for mental health
- Have mild psychopathology including subclinical psychotic symptoms, as evidenced by a score of or above 6 on the PQ, but are not at UHR for psychosis, as indexed by the Comprehensive Assessment of At Risk Mental State (CAARMS) ;Participants subsample 4:
- Are currently in clinical care for mental health
- Are at clinical high risk for psychosis, as indexed by the CAARMS
Exclusion criteria
- History of or current psychotic episode, according to the DSM-IV criteria
- Pregnancy
- Significant hearing or visual problems impairments
- No internet connection at home or on mobile phone or tablet
Design
Recruitment
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
In other registers
| Register | ID |
|---|---|
| CCMO | NL52974.042.15 |
| OMON | NL-OMON25975 |