European Psychiatry - Volume 33 - March 2016

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S606 24th European Congress of Psychiatry / European Psychiatry 33S (2016) S349–S805
made with similar studies conducted in GHPU settings over the
last 5 decades.
Results Neurotic, stress related and somatoform disorders was
the commonest diagnostic group (33%) followedby psychotic disor-
ders (17%) and mood disorders (15%). The finding is broadly similar
to the studies done at different times in the last 5 decades. How-
ever, there were lesser number of patients withmental retardation,
organic brain syndrome and seizure disorder.
Conclusion The study highlights the strengths of GHPU set-ups
like inter-speciality referrals, fewer stigmas, patients travelling
from far off places to seek treatment and involvement of family
in the care of mentally ill.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EV800
Seven years of occupational psychiatry
in a Portuguese universitary hospital
L. Sousa ∗, A. Antunes , L. Bastos
Hospital de Santa Maria, Lisbon Academic Medical Center, Psychiatry
and Mental Health, Lisbon, Portugal
∗ Corresponding author.
Introduction Occupational psychiatry is the field of psychiatry
that focuses on work, its importance in the lives of individuals and
work organizations. It gained visibility in the 2000 decade, after the
creation of the Academy of Occupational and Organizational Psy-
chiatry. Following that trend, occupational psychiatry outpatient
started in 2008 at Hospital de Santa Maria.
Objective To describe the structure and functioning of that
project; to characterize the population that has been referred to
this subspecialty, as well as the main motives for referral; and to
highlight some paradigmatic cases that deserve special attention.
Aims Call attention to the importance of occupational psychiatry
at the individual and institutional level.
Methods All the patients ever referred to the occupational psy-
chiatry consultation were considered for the analysis. Clinical
information was obtained through medical records and interviews
with the patients. Bibliographic research was conducted through
the PubMed in the Medline library.
Results In our hospital, the prototype patient referred to occupa-
tional psychiatry is a middle-aged woman working as a medical
assistant. The most frequent motives for referral were related
to difficulties in accomplishing job duties and definite psychi-
atric diagnosis corresponded more often to the common mental
disorders (anxiety, depression and adjustment disorders). At the
institutional level, the initiative was received with great enthusi-
asm.
Conclusions As Freud stated “To Love and work are the cor-
nerstone of our humanness”, in line with that we consider that
occupational psychiatry should be taken as a priority in what con-
cerns to mental health policies.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EV801
Stigma and poor mental health
literacy as barriers to service use
among unemployed people with
mental illness – a qualitative study
T. Staiger ∗, T. Waldmann , S. Krumm , N. Rüsch
1 Ulm University, Department of Psychiatry II, Ulm, Germany
2 Bezirkskrankenhaus Günzburg, Department of Psychiatry II,
Günzburg, Germany
∗ Corresponding author.
Introduction/objectives Mental health problems were shown by
different studies to be both: results of and risk factors for unemploy-
ment. However, unemployed people with mental health problems
often have difficulties in finding and using mental health services
and therefore do not benefit from therapies. Because unemployed
individuals outside the healthcare system are a hard-to-reach
group, barriers to but also facilities for mental health services are
poorly understood.
Aims The aimof the study is to identify barriers and facilitators of
help seeking and service use, based on experiences of unemployed
people with mental health strains.
Methods We conducted 15 qualitative semi-structured inter-
views with unemployed individuals, facing self-reported mental
health problems or mental illness. Topics included individual expe-
riences with help-seeking and mental health service use, with a
focus on barriers and facilitators. Interviews were audiotaped and
transcribed verbatim. Transcripts were analyzed using qualitative
content analysis and major themes were identified.
Results Patients fear adverse reactions of psychiatric medication.
They report to be treated as “different” by their social environment
and health professionals, which leads to a lack of self-esteem and
inhibits them in their help seeking efforts. Social support and desire
for change on the other hand can be strong motivational factors in
searching for help.
Conclusion Perception of GPs towards mental health issues of
their patients, and especially unemployed patients, has to be raised.
Stigmatization of mental illnesses and help seeking should be
reduced in practical context.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EV802
Big data analysis for improved mental
healthcare: A population-based
perspective
K. Suzuki ∗ Muria Tarazon u
1 Japan
2 Fujitsu, Business Consulting Unit, Valencia, Spain
3 Fujitsu Laboratory of Europe, Data Analytic Department, London,
United Kingdom
∗ Corresponding author.
Introduction Mental disorder is a key public health challenge due
to its high levels of disability and mortality and a leading cause of
DALYs (Disability adjusted life years). Therefore, a small improve-
ment on mental care provision and management could generate
solid benefits on relieving the social burden of mental diseases.
Objective Long-term vision of collaboration between Fujitsu
Laboratories, Fujitsu Spain, andHospital Clinico SanCarlos is to gen-
erate value through predictive and preventive medicine improving
healthcare outcomes for every clinical area, benefiting managers,
clinicians, and patients.
Aims The aim is to enable a data centric approach towards a
value-based healthcare system via health informatics. The project
fuses knowledge from heterogeneous sources for obtaining pat-
terns for clinical decision-making.
Methods This project leverages a data analytic platform named
HIKARI (“light” in Japanese) to deliver the “right” information, to
the “right” people, at the “right” time. HIKARI consists of a data-
driven and evidence-based Decision Support and Recommendation
System (DSRS), facilitating identification of patterns in large-scale
datasets and linking of data from different sources and types.
Results Using multiple, heterogeneous datasets, HIKARI detects
correlations fromdata retrospectively and conducts early interven-
tion when signs and symptoms prompt immediate actions. HIKARI
also highlights resource consumption patterns and suggests future
resource allocation, using real-life data.