Table of Contents Table of Contents
Previous Page  227 / 812 Next Page
Information
Show Menu
Previous Page 227 / 812 Next Page
Page Background

24th European Congress of Psychiatry / European Psychiatry 33S (2016) S116–S348

S223

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.431

Guidelines/guidance

EW314

Including mental health in emergency

response: Lessons learnt from the

Ebola virus disease outbreak in West

Africa

A. Mohammed

1 ,

, T. Sheikh

1

, P. Nguku

2

, A. Olayinka

2

,

C. Ohuabunwo

2

, G. Pogenssee

2

, J. Eaton

3

1

Federal Neuro-psychiatric hospital, Clinical services, Kaduna,

Nigeria

2

Nigerian Field Epidemiology and Laboratory Training Program,

Resident Advisor, Abuja, Nigeria

3

London School of Hygiene and Tropical Medicine, Lecturer, London,

United Kingdom

Corresponding author.

Ebola virus disease (EVD) outbreaks create widespread panic, fear

and anxiety. Psychological disorder and distress has been demon-

strated among survivors and contacts of EVD and their relations,

potentially having a negative effect on contact tracing. In the

recently controlled outbreak inNigeria, mental healthprofessionals

played active roles in case management, contact tracing, opera-

tional research and development of an emergency response plan.

At-risk countries need to have a proactive intervention strategy

that involves mental health professionals in response to disease

outbreaks. This ensures comprehensive support for people during

outbreaks that address mental health as well as physical needs of

the community.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.432

EW315

Effectiveness and cost-effectiveness of

a cardiovascular risk prediction

algorithm for people with severe

mental illness

E. Zomer

1 ,

, D. Osborn

2 , 3

, I. Nazareth

1

, R. Blackburn

2

,

A. Burton

2

, S. Hardoon

1

, R.I.G. Holt

4

, M. King

2

, L. Marston

1

,

S. Morris

5

, R. Omar

6

, I. Petersen

1

, K. Walters

1

, R.M. Hunter

1

1

University College London, Department of Primary Care and

Population Health, London, United Kingdom

2

University College London, Division of Psychiatry, London, United

Kingdom

3

National Health Service, Camden and Islington National Health

Service Foundation Trust, London, United Kingdom

4

University of Southampton, Human Development and Health

Academic Unit, Southampton, United Kingdom

5

University College London, Department of Applied Health Research,

London, United Kingdom

6

University College London, Department of Statistical Science,

London, United Kingdom

Corresponding author.

Introduction

Cardiovascular risk prediction tools are important

for cardiovascular disease (CVD) prevention, however, which algo-

rithms are appropriate for people with severe mental illness (SMI)

is unclear.

Objectives/aims

To determine the cost-effectiveness using the

net monetary benefit (NMB) approach of two bespoke SMI-specific

risk algorithms compared to standard risk algorithms for primary

CVD prevention in those with SMI, from an NHS perspective.

Methods

A microsimulation model was populated with 1000

individuals with SMI from The Health Improvement Network

Database, aged 30–74 years without CVD. Four cardiovascular risk

algorithms were assessed; (1) general population lipid, (2) gen-

eral population BMI, (3) SMI-specific lipid and (4) SMI-specific

BMI, compared against no algorithm. At baseline, each cardiovas-

cular risk algorithm was applied and those high-risk (> 10%) were

assumed to be prescribed statin therapy, others received usual care.

Individuals entered the model in a ‘healthy’ free of CVD health state

and with each year could retain their current health state, have

cardiovascular events (non-fatal/fatal) or die from other causes

according to transition probabilities.

Results

The SMI-specific BMI and general population lipid algo-

rithms had the highest NMB of the four algorithms resulting in 12

additional QALYs and a cost saving of approximately

£

37,000 (US$

58,000) per 1000 patients with SMI over 10 years.

Conclusions

The general population lipid and SMI-specific BMI

algorithms performed equally well. The ease and acceptability of

use of a SMI-specific BMI algorithm (blood tests not required)

makes it an attractive algorithm to implement in clinical settings.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.433

Intellectual disability

EW316

Intellectual disability among

delusional disorder: A case series

register

C.M. Carrillo de Albornoz Calahorro

, M. Guerrero Jiménez ,

A. Porras Segovia , J. Cervilla Ballesteros

Hospital Universitario San Cecilio, Unidad de Salud Mental, Granada,

Spain

Corresponding author.

Introduction

The quoted prevalence of intellectual disability (ID)

among adults with psychiatric illness varies widely. Some believe

that these people are protected from certain intellectual and psy-

chological stress by having ID, and therefore, are less prone to

develop psychiatric illness. However, in the past decades, the more

prevailing view is that people with ID are more vulnerable to psy-

chosocial stress than people without ID, and therefore, are more

likely to develop psychiatric symptomatology. According to various

population surveys the probability of suffering a mental disability

increase with age. Delusional disorder is as well a disease related

to advanced stages of life.

Objectives/aims

The aims of the present study is to establish the

prevalence of functional intellectual disability among adults who

fulfil DSM 5 delusional disorder criteria.

Methods

Our data come from a case register study of delusional

disorder in Andalucia (Spanish largest region). By accessing digital

health data, we selected 1927 cases, which meet criteria DSM 5

for delusional disorder collecting whether in its history intellectual

disability was registered by the referent psychiatrist.

Results

Of our sample, 2.6% had reflected some kind of intellec-

tual disability in their digital clinical record.

Conclusion

These percentage has been found to concur with

other epidemiological studies linking mental retardation and psy-

chotic spectrumdisease although there are no epidemiological data