Outline

Overview

This unit of study provides psychiatry trainees with an opportunity to develop effective clinical skills including the psychiatric interview, mental state examination and biopsychosocial formulation. The management of psychiatric emergencies, risk assessment and the use of mental health legislation, as well as the relevance of diagnostic neuroimaging, are explored. This unit of study is designed to provide students with a deeper understanding of how genetic and environmental risk factors affect the developing individual to generate the clinical symptoms of psychiatric disorders. Students will examine all aspects of psychotic and mood disorders including aetiology, phenomenology and epidemiology. Students learn to develop management plans for these disorders according to a biopsychosocial framework with an emphasis on psychosocial care and recovery principles. The principles of neuropsychopharmacology with a focus on antipsychotic medication, mood stabilisers, antidepressants and their potential adverse consequences are covered in depth, as well as practical aspects of electro-convulsive therapy (ECT).

Unit details and rules

Academic unit	Central Clinical School
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Trudy Stone, trudy.stone@sydney.edu.au
Lecturer(s)	Caryl Barnes, caryl.barnes@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Mini conference presentation/journal club Oral presentation (recorded and submitted presentation)	30%	- Due date: 09 Jun 2020 at 14:00	10 minutes
Outcomes assessed:
Assignment	Case history with diagnostic formulation Case history and diagnostic formulation	20%	Week 04 Due date: 17 Mar 2020 at 12:00	1500 words
Outcomes assessed:
Online task	Neuroscience modules and quizzes Online video modules and quizzes	10%	Week 09 Due date: 28 Apr 2020 at 12:00	2.5 hours overall
Outcomes assessed:
Assignment	Case history, diagnostic formulation and management plan Case study and management plan	40%	Week 13 Due date: 26 May 2020 at 12:00	2000 words
Outcomes assessed:

Assessment summary

Case history with diagnostic formulation: Write a brief case history and diagnostic formulation of a patient you have recently seen in clinical practice.
Neuroscience modules and quizzes: Watch online modules and complete short quizzes.
Case history, diagnostic formulation and management plan: Write a detailed case history of a patient you have treated recently.
Mini conference presentation/journal club: Present your critical appraisal of a review or research article related to this semester’s topics.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Students should refer to the Canvas site for actual due dates and times. Late assignments that have not been granted extensions and are of a standard to receive a pass or higher mark will attract a penalty of 5% of the maximum mark per day (or part thereof) late including weekend days (e.g. if the assignment is worth 40 marks, the penalty is 2 marks per day late) until the mark reaches 50% of the maximum mark (e.g. 20 marks if the maximum is 40 marks). Assignments that are not of a pass standard will not have marks deducted and will fail regardless. Assignments submitted more than 10 days late without prior approval will not be accepted and will be given a zero (0) mark.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Pre-semester	1st Year RANZCP Trainee Orientation Program	Seminar (3 hr)
Week 01	1. Psychiatric assessment, MSE, formulation 2. Interview and assessment in substance use disorder setting	Lecture (3 hr)
Week 02	1. Interpersonal neurobiology 2. Interpersonal skills & de-escalation	Lecture (3 hr)
Week 03	Schizophrenia and psychosis	Lecture (3 hr)
Week 04	Antipsychotics	Lecture (3 hr)
Week 05	1. Recovery model and psychosocial management 2. Adverse effects and medication monitoring	Lecture (3 hr)
Week 06	1. Neurobiology of depression 2. Psychosocial management of mood disorders 3. Early intervention in mood disorders	Lecture (3 hr)
Week 07	1. Diagnosis and classification of mood disorders 2. Pharmacology and treatment of acute mania 3. Genetic epidemiology	Lecture (3 hr)
Week 08	1. Bipolar disorders 2. Food and mood	Lecture (3 hr)
Week 09	1. Alcohol 2. Opioids	Lecture (3 hr)
Week 10	1. Amphetamines and other stimulants 2. Cannabis	Lecture (3 hr)
Week 11	1. Neuroimaging 2. Prescription drug abuse and dependence	Lecture (3 hr)
Week 12	1. Introduction to delirium & dementia 2. Mental health tribunals / Capacity and guardianship	Lecture (3 hr)
Week 13	1. E-mental health 2. Suicide prevention	Lecture (3 hr)

Attendance and class requirements

Requirements for passing the unit of study: Students must submit a genuine attempt for every assessment and earn an average mark of at least 50% for the unit as a whole. If a student has attempted and failed an assessment they may be given the opportunity for resubmission typically within a week of receiving their mark. This resubmission may be the same or an alternative task to the original and the maximum mark obtainable for a resubmission is 50%. Academic honesty must be demonstrated in all forms of assessment. Similarity detection software (i.e. Turnitin) will be used for all submitted written work.
Referencing guide: Scholarly referencing is required for all assignments along with a complete reference list (bibliography) in the same format. Some suggestions may include Harvard, APA, and Vancouver. You must use one specific style, and state what is in your reference list sub-heading e.g. “Reference List in Harvard Style”.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. understand the components of a comprehensive psychiatric and substance use assessment in order to assist you in your clinical role.
LO2. critically discuss the literature regarding epidemiology, aetiology and clinical characteristics of psychotic, mood and substance use disorders.
LO3. identify and summarise biological, psychological, cultural and social contributors to the patient’s illness and recovery in order to be able to present these in a formulation and differential diagnosis for patients presenting with psychotic, mood and substance use disorders.
LO4. construct comprehensive management plans under supervision using evidence-based biological and psychosocial approaches which can be applied in a recovery orientated, multidisciplinary team setting.
LO5. describe the principles and practical applications of involuntary and coercive treatment options in order to work within the relevant mental health and drug and alcohol legislation in your professional clinical role.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

This unit now incorporates learning activities and assessment on substance use and addictions.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

BMRI5003: Clinical Psychiatry I

Semester 1, 2020 [Normal day] - Mallett Street, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect