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HPER71-112: Knowledge Translation and Quality in Healthcare

Description

In this subject you will develop an understanding of how the principles of quality improvement and implementation science complement each other within a broad knowledge translation framework to apply research evidence into clinical practice. You will be guided to identify an aspect of local practice which is not supported by research evidence; through reviewing quality improvement data and critically appraising current research evidence. You will be facilitated to identify a theory of change and apply the science of implementation in order to accelerate the translation of evidence and improve health outcomes. You will develop core skills in assessing and identifying research-practice gaps, assessing barriers and facilitators to change, classifying and applying behaviour change frameworks and synthesising the project into a logic model. You will develop a protocol to implement an evidence-informed intervention within your workplace.

Subject details

TypePostgraduate
CodeHPER71-112
EFTSL0.125
FacultyFaculty of Health Sciences & Medicine
Semesters offered
  • May 2020 [Non-Standard Offering]
Credit10
Study areas
  • Health Sciences
Subject fees
  • Commencing in 2020: $5,070

Learning outcomes

1. Apply knowledge and skills of quality improvement, implementation science and knowledge translation to a local workplace problem.
2. Apply appropriate process models, theories and/or frameworks to evaluate a local workplace practice.
3. Identify and analyse barriers and facilitators of proposed behaviour change.
4. Assess the local implementation context to identify appropriate implementation strategies that support behaviour change.
5. Develop a logic model to operationalise implementation strategies.

Enrolment requirements

Requisites: ?

Nil

Assumed knowledge:

Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.

Assumed Prior Learning (or equivalent):

Restrictions: ?

Nil

Subject outlines

Subject dates

Non-Standard Offering
Enrolment opens15/03/2020
Semester start25/05/2020
Subject start25/05/2020
Cancellation 1?07/06/2020
Cancellation 2?10/06/2020
Last enrolment05/06/2020
Withdraw – Financial?19/06/2020
Withdraw – Academic?05/07/2020
Teaching census?19/06/2020