BETH5204: Semester 1, 2023

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Units BETH5204 Semester 1 2023 [Block mode]

Unit outline_

BETH5204: Clinical Ethics

Semester 1, 2023 [Block mode] - Camperdown/Darlington, Sydney

Overview

This Unit of Study introduces you to the ethical issues that underlie clinical care delivery. You will be guided to critically examine a range of topics from different approaches to ethical reasoning in the clinical context (such as philosophical ethical reasoning, casuistry, and mid-level principles approach), key ethical concepts in the clinical encounter (such as autonomy, professionalism, conscience, and confidentiality), and major contexts in which ethical issues arise in clinical practice (such as the start and end of human life) to the theoretical and practical aspects of clinical ethics support services. Over the course of the unit, you will be prompted to engage in case-based group discussions. You will be encouraged and guided to develop your analytical and reasoning skills and your ability to engage in constructive dialogue with others.

Unit details and rules

Academic unit	Public Health
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Hojjat Soofi, hojjat.soofi@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Essay Written assessment	55%	STUVAC Due date: 29 May 2023 at 23:59	2,500 words
Outcomes assessed:
Assignment	Case study analysis Written assessment	35%	Week 06 Due date: 27 Mar 2023 at 23:59	1,500 words
Outcomes assessed:
Participation	Participation Participation	10%	Weekly	n/a
Outcomes assessed:

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

Assessments are graded in accordance with the marking matrix for all BETH Units of Study. A copy of this matrix is available in the Canvas site for this Unit of Study.

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.

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
Week 01	Introduction 1: bioethics in health care	Individual study (9 hr)
Week 02	Introduction 2: Ethical theories and methods	Individual study (9 hr)
Week 02	Intensive 1: Case-based interactive session	Seminar (5 hr)
Week 03	Core concepts 1: Autonomy and consent	Individual study (9 hr)
Week 04	Core concepts 2: Deciding for others	Individual study (9 hr)
Week 05	Core concepts 3: Professionalism	Individual study (9 hr)
Week 06	Core concepts 4: Truth telling and confidentiality	Individual study (9 hr)
Week 07	Core concepts 5: Clinical care where resources are limited	Individual study (9 hr)
Week 08	Applications 1: The beginning of life	Individual study (9 hr)
Week 09	Applications 2: Children	Individual study (9 hr)
Week 09	Intensive 2: Case-based interactive teaching	Seminar (5 hr)
Week 10	Applications 3: Ageing and end of life	Individual study (9 hr)
Week 11	Applications 4: Voluntary assisted dying	Individual study (9 hr)
Week 12	Clinical Ethics Support 1: principles and foundations	Individual study (9 hr)
Week 13	Clinical Ethics Support 2: Practices and Controversies	Individual study (9 hr)

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 are available through Canvas, via the ‘Reading List’ link.

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. Identify and describe relevant moral theories used to consider ethical issues in health care
LO2. Outline, synthesise and critically reflect on predominant concepts in clinical ethics and their application in health care
LO3. Synthesise and critically engage with the theoretical and practical aspects of clinical ethics support

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.

Every year, the course coordinators carefully consider feedback from students together with their own evaluations to optimise this Unit of Study. This Unit is research-led.

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

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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