The Psychosis Recent Onset GRoningen Survey (PROGR-S): Defining Dimensions and Improving Outcomes in Early Psychosis

Psychotic disorders are among the most complex medical conditions. Longitudinal cohort studies may offer further insight into determinants of functional outcome after a psychotic episode. This paper describes the Psychosis Recent Onset in GRoningen Survey (PROGR-S) that currently contains data on 1076 early-episode patients with psychosis, including symptoms, personality, cognition, life events and other outcome determinants. Our goal in this report is to give an overview of PROGR-S, as a point of reference for future publications on the effect of cognition, personality and psychosocial functioning on outcomes. PROGR-S contains an extensive, diagnostic battery including anamnesis, biography, socio-demographic characteristics, clinical status, drug use, neuropsychological assessment, personality questionnaires, and physical status tests. Extensive follow-up data is available on psychopathology, physical condition, medication use, and care consumption. Sample characteristics were determined and related to existing literature. PROGR-S (period 1997-2009, n = 718) included the majority of the expected referrals in the catchment area. The average age was 27 (SD = 8.6) and two-thirds were male. The average IQ was lower than that in the healthy control group. The majority had been diagnosed with a psychotic spectrum disorder. A substantial number of the patients had depressive symptoms (479/718, 78%) and current cannabis or alcohol use (465/718, 75%). The level of community functioning was moderate, i.e. most patients were not in a relationship and were unemployed. The PROGR-S database contains a valuable cohort to study a range of aspects related to symptomatic and functional outcomes of recent onset psychosis, which may play a role in the treatment of this complex and disabling disorder. Results reported here show interesting starting points for future research. Thus, we aim to investigate long-term outcomes on the basis of cognition, personality, negative symptoms and physical health. Ultimately, we hope that this paper will contribute improving the health of patients with psychotic disorders

The development, validity, and reliability of the auditory vocal hallucination rating scale questionnaire (AVHRS-Q)

PURPOSE: The Auditory Vocal Hallucination Rating Scale Questionnaire (AVHRS-Q) is a short self-report measure assessing several characteristics of auditory vocal hallucinations (AVH) that was derived from a validated clinical interview (the auditory vocal hallucination rating scale; AVHRS). This study investigated the internal reliability, convergent validity, and divergent validity of the AVHRS-Q using two clinical samples. METHODS: In sample I, 32 psychiatric patients with AVH were recruited from an academic hospital service and assessed with the AVHRS and the AVHRS-Q. Data for sample II were retrospectively retrieved from a pseudonymised Routine Outcome Monitoring (ROM) database collected in the context of mental healthcare at the same academic hospital service. Data from 82 psychiatric patients with AVH were retrieved, who completed the AVHRS-Q, and measures of psychological distress (the Outcome Questionnaire; OQ-45, and the Symptom Checklist; SCL-90) and quality of life (the Manchester Short Assessment of Quality of Life; MANSA). RESULTS: The AVHRS-Q showed good internal consistency in both samples. Severity scores of the AVHRS-Q were strongly correlated to the severity scores of the AVHRS (r = 0.90, p < 0.01). The AVHRS-Q and AVHRS did not differ in the identification of mild and severe voice-hearers [X2 (1, N = 32) = 15.71]. AVHRS-Q severity scores had moderate correlations with measures of psychological distress (OQ-45, r = 0.43, p < 0.01; SCL-90, r = 0.50, p < 0.05) and quality of life (MANSA, r = - 0.22, p < 0.01). CONCLUSIONS: The AVHRS-Q demonstrated good reliability, convergent validity, and divergent validity, suggesting it can be applied in both clinical and research settings for a quick and reliable assessment of AVH

Personality and coping in first episode psychosis linked to mental health care use

\u3cp\u3eA body of literature focuses on associations of neuroticism, extraversion, passive coping and active coping with the course of psychotic illness. Less is known about other personality and coping variables - and underlying causal mechanisms between variables remain unclear. We explored causal effects from personality, coping and symptoms on mental health care consumption over two years in 208 first episode patients. Causal inference search algorithms lead to formation of a hypothetical causal model based on presumptions on (non-)mutuality between variables and consistent with data. Structural equation modelling estimated effect sizes conditionally on the causal model. Our observed model implies that none of the coping or personality variables have any effect on the number of days of hospitalisation, whereas general psychopathology symptoms do have a direct positive effect. For ambulatory care it is proposed that openness to experience, depressive symptoms and age have direct positive effects. Reassuring thoughts as a coping strategy seems to have a direct negative effect on the use of ambulatory care and mediates indirect effects of other personality and coping variables on ambulatory care. Furthermore, while previously established relations between personality and symptoms are confirmed by our model, it challenges traditional ideas about causation between personality and symptoms.\u3c/p\u3

Personality and coping in first episode psychosis linked to mental health care use

\u3cp\u3eA body of literature focuses on associations of neuroticism, extraversion, passive coping and active coping with the course of psychotic illness. Less is known about other personality and coping variables - and underlying causal mechanisms between variables remain unclear. We explored causal effects from personality, coping and symptoms on mental health care consumption over two years in 208 first episode patients. Causal inference search algorithms lead to formation of a hypothetical causal model based on presumptions on (non-)mutuality between variables and consistent with data. Structural equation modelling estimated effect sizes conditionally on the causal model. Our observed model implies that none of the coping or personality variables have any effect on the number of days of hospitalisation, whereas general psychopathology symptoms do have a direct positive effect. For ambulatory care it is proposed that openness to experience, depressive symptoms and age have direct positive effects. Reassuring thoughts as a coping strategy seems to have a direct negative effect on the use of ambulatory care and mediates indirect effects of other personality and coping variables on ambulatory care. Furthermore, while previously established relations between personality and symptoms are confirmed by our model, it challenges traditional ideas about causation between personality and symptoms.\u3c/p\u3

Clinical characteristics of participants in PROGR-S.

1<p>According to SCAN-interview (Giel and Nienhuis, 1996) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0113521#pone.0113521-Giel1" target="_blank">[42]</a>.</p>2<p>1 = severe dysfunction, 100 = optimal functioning.</p>3<p>Categorized according to Herrmann et al. (1998) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0113521#pone.0113521-Hermann1" target="_blank">[59]</a>.</p>4<p>According to Andreassen et al., 2010 <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0113521#pone.0113521-Andreasen1" target="_blank">[60]</a>.</p><p>Clinical characteristics of participants in PROGR-S.</p

Overview of demographical and clinical characteristics of the patients and controls in PROGR-S, the last column give the p-value of the comparison between both groups.

1<p>According to Verhage, 1984 <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0113521#pone.0113521-Verhage1" target="_blank">[57]</a>.</p>2<p>Based on the WAIS III <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0113521#pone.0113521-Wechsler1" target="_blank">[53]</a>.</p><p>Overview of demographical and clinical characteristics of the patients and controls in PROGR-S, the last column give the p-value of the comparison between both groups.</p