European Psychiatry - Volume 41 - April 2017

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S442 25th European Congress of Psychiatry / European Psychiatry 41S (2017) S405–S464
consent form were sent to their parents/legal guardians, and the
students who returned these forms were included in the study.
The numbers, percentages, average values, and standard deviation,
which are among the descriptive statistical methods, were used in
evaluating the data. The Pearson correlation and regression analysis
were applied between the continuous variables of the study.
Results It was observed in the study that 4.6% of the students
had internet addiction at pathological level. The factors that influ-
enced the internet addiction were determined as the social support
received from the family, being male, low school success, weekly
allowance being high, studying at senior grades, and going online
frequently.
Conclusions When the study results are analyzed it is observed
that the internet addiction in secondary school students in our
country is at a rate that has to be taken seriously.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EV0119
The screening of the risk of autism
spectrum disorders in children aged
16–24 months in Russia, 2015
M. Ivanov ∗, N. Simashkova , G. Kozlovskaya , E. Makushkin
1 Federal State Budgetary Scientific Institution “Mental Health
Research Center”, Department of Child Psychiatry, Moscow, Russia
2 Federal State Budgetary Institution “Federal Medical Research
Center of Psychiatry and Narcology of V.P. Serbsky” of the Russian
Ministry of Health of the Russian Federation, Administration,
Moscow, Russia
∗ Corresponding author.
Introduction Improving the mental health diagnosis in young
children is the high-priority problem in reducing the rate of child
disability due to mental illnesses. In 2015, the Ministry of Health-
care (Russia) introduced the pilot project – the total screening of the
paediatric population at an early age, detecting autism spectrum
disorders (ASD) risk group.
Objectives To determine the broad range of mental disorders:
from minor borderline states (states of risk) to serious mental dis-
orders, with an emphasis on determination of ASD in children aged
16–24 months in general population.
Methods The survey was conducted by the total screening in pri-
mary health care institutions (in the three largest regions of Russia:
Volgograd, Novosibirsk, Chelyabinsk regions). The screening tool:
checklist for parents aimed at detection of risk of occurrence of ASD
in early children, for screening in general population.
Results and conclusions During 2015, 34,770 parents of children
aged 16–24 were questioned. Of these 4102 children or 11.8%
(118:1000) formed the risk group in ASD. By the risk group in ASD
predisposition (diathesis) is understood, that does not correspond
fully to the clinical criteria of illness. This state of predisposition
may last for several years and pass either to illness or to health.
The part of the children of the risk group in ASD were consulted
by psychiatrist on a voluntary basis (2774 cases). Fifteen children
(0.4:1000) were diagnosed with prominent clinical disorders in
ICD-10 (F84). This prevalence rate cannot be extrapolated on the
general population of the children at the considered age.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EV0120
The use of guanfacine (Intuniv XR) in
the treatment of disruptive mood
dysregulation disorder – Clinical
experience from telepsychiatry
U. Jain
SMS Medical College, Psychiatry, Jaipur, India
Background Disruptive mood dysregulation disorders (DMDD) is
new to DSM-5 and represents children with rage episodes. Medical
treatment is critical but few randomized trials. DMDD may be a
replacement for the diagnosis of Bipolar Disorder noted in DSM-IV
with a heavy use of atypical neuroleptics. DMDD reflects a more
moderate treatment of these symptoms.
Method Telepsychiatry referrals 6–9 year old children random-
ized into n = 12 = group A (11 males/1 female), n = 13 = group B (11
males/2 females). ANOVA not significant (NS) in age and gender.
Group A received guanfacine (GUA) titrated to weight between
3–4mg. Both groups received behavior support. Group B did not
receive medications. Analysis by t-test comparison.
Results Group A showed significant improvement in frequency
but not in intensity of rage episodes ( P < 0.05). Major side effects
include sedation and gastric irritation. Dropouts fromoriginal sam-
ple of 22 per group were based on inability to titrate, cost of drug,
inability to swallow pills, worsening of symptoms with addition of
an atypical neuroleptic.
Conclusion GUA is a possible treatment for DMDD but there are
limitations requiring further study. Group B did show improve-
ment reflecting the utility of behavioral strategies (future studies
require control groups) but GUAmay provide a useful alternative to
neuroleptics. Cardiovascular issues were not a problem and were
assessed. Future studies are warranted.
Disclosure of interest The author has not supplied his declaration
of competing interest.
EV0121
Telepsychiatry: The new reality of
psychiatry in the future
U. Jain
SMS Medical College, Psychiatry, Jaipur, India
Background Do we need to work from offices in psychiatry? The
clinical interface has been debated particularly in child and adoles-
cent psychiatry with continued beliefs related to the differences in
therapeutic alliance when compared to face-to-face practice. That
literature clearly shows that telepsychiatry is equal in its ther-
apeutic effects. But not much has been written about the other
advantages of telepsychiatry, which may be intuitive but needs to
be documented.
Methodology The University of Toronto Telepsychiatry Program
is the largest in the world with over 60 psychiatrists and 1400
sites. This is an anaectodal review of 25 years of practice using this
mediumoutlining the advantages (ADV) and disadvantages (DADV)
to this medium.
Results ADV: convenience from home, complete access to hos-
pital files, physician safety during sessions, able to see multiple
sites and include multisystem professionals including schools, cost
effective (when compared to outreach psychiatry), simplicity of
connection with minimal interference. DADV: novelty to client,
quality of video to pick up very subtle nonverbal information, tech-
nical support required, capital cost to set up, mental health biases
to technology.
Conclusion This technology is evolving. It is essential physicians
understand the issueswhether it be privacy, cost, utility and clinical
application. The long-term impact will likely affect future practice
and allow resource sensitive care to outlying areas with the ability