Centralized Assessment, Triage and Support Program
Section Head
Dr. Paul Kurdyak
Contact
Dr. Paul Kurdyak
Head of Emergency Crisis Services and Research
Centralized Assessment, Triage and Support Program
Centre for Addiction and Mental Health
250 College Street
Toronto, Ontario M5T 1R8
paul_kurdyak@camh.net
Research Objectives
- To understand the determinants of and barriers to treatment for mental illnesses.
- To explore the relationship and interaction between chronic medical and mental illnesses.
- To develop research methodology expertise in observational research design as it relates to the study of mental health epidemiology.
Summary of Activities
The CATS program is the clinical “front door” to CAMH with very busy clinical programs in the area of General Psychiatry.
The main clinical activities are the Emergency Department, the CATS ambulatory program, and the CATS inpatient unit. The clinical
sample is not selected; therefore, it is representative of the mental health needs of the entire CAMH population. As such,
it provides an opportunity for exploring the determinants of community-based mental health needs and access.
Access to treatment
Many factors determine whether someone seeks treatment for mental illnesses. On September 21, 2005, CAMH went “smoke-free”.
Overnight, the Emergency Department, along with the rest of the hospital, no longer permitted smoking within the hospital.
From a public health perspective, imposing restrictions on smoking, as well as alternatives to smoking, is laudable given
the burden of illness associated with smoking in a population with mental illness. However, policies can have both intended
and unintended consequences. We were interested in determining whether the smoke-free policy would affect the likelihood that
certain patient groups would use the Emergency Department after the ban was imposed. We were interested in whether the policy
would force certain patients to choose to have the freedom to smoke over seeking treatment for their mental health issues.
We also investigate treatment-related policy at the provincial level. In the past five years, there has been a high level
of concern about the relationship between antidepressants and an elevated risk of suicide. While the association remains controversial,
drug advisory agencies in three different countries, the United Kingdom Committee on the Safety of Medications, the United
States Food and Drug Administration, and Health Canada, all published advisory warnings on the potential relationship between
antidepressants and suicidal ideation. We studied the impact of the various warnings on antidepressant prescribing trends
and found that the more specific the warning is, both in terms of antidepressant and patient population, the more likely the
advisory will have an impact on physician prescribing behaviours.
The interaction between chronic medical and mental illnesses
There are many ways that medical and mental illnesses can interact. We have focused on cardiovascular illnesses and depression
to explore the interaction of these two conditions in terms of mortality and health service utilization. The latter outcome
is particularly interesting since it is unclear whether someone with cardiovascular illness and depression is more or less
likely to receive treatment for cardiovascular illness than a patient with no depression. Investigating the interaction of
mental and medical illnesses with respect to access to services allows for a more comprehensive view of our health care system
than looking at barriers to treatment for a single diagnostic entity. This is a more realistic approach since comorbidity,
whether psychiatric or medical, for individuals with mental illnesses is likely the norm rather than the exception.
Research methodologies
Research in the area of mental health epidemiology requires the use of survey-administered diagnostic instruments. As a result,
missing data are frequently generated. Missing data in observational studies can produce estimates of population parameters
that are biased. We are interested in missing data mechanisms and methodologies, such as multiple imputations, as ways to
address the potential bias from the all-too-frequent problem of missing data.