HDR opportunities
Testimonials
The Institute has HDR opportunities available under the following themes:
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Implementing automation tools for systematic reviews
Several tools to automate steps in a systematic review are available, including machine learning and text-mining software, and tools that eliminate repetitive tasks. Further tools may be useful for steps in the review process but are not yet available. We would like to evaluate real-world usefulness of current tools, identify where the development of new tools may be useful, and further areas for development. This PhD would combine areas of information technology, review efficiency, data science, and workload measurement, and medical research.
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De-implementing of low-value health care
The de-implementation of ineffective and inefficient healthcare practices to improve patient health and safeguard appropriate resource allocation is a fast-evolving field of study. There is a pressing need to understand more about the use of appropriate and potentially unique approaches to tackle low-value care in clinical practice. This PhD offers an exciting opportunity for the scholar to identify the barriers and facilitators for the de-implementing of specific low-value practices, and to advance the development and piloting of de-implementation interventions. There will be a focus on patient-mediated/led de-implementation strategies. Projects will be both quantitative and qualitative and incorporate the public and healthcare professional perspective.
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Engaging community members in health policy decision making
Engaging community members in health policy decisions enhances the legitimacy and acceptability of those decisions to the public. However, methodology in this area is under-developed. This PhD will investigate existing practices for community engagement methods in health policy, develop and test quality frameworks for community engagement, and implement community engagement initiatives. These projects will involve a mix of qualitative and quantitative research designs.
Several tools to automate steps in a systematic review are available, including machine learning and text-mining software, and tools that eliminate repetitive tasks. Further tools may be useful for steps in the review process but are not yet available. We would like to evaluate real-world usefulness of current tools, identify where the development of new tools may be useful, and further areas for development. This PhD would combine areas of information technology, review efficiency, data science, and workload measurement, and medical research.
The de-implementation of ineffective and inefficient healthcare practices to improve patient health and safeguard appropriate resource allocation is a fast-evolving field of study. There is a pressing need to understand more about the use of appropriate and potentially unique approaches to tackle low-value care in clinical practice. This PhD offers an exciting opportunity for the scholar to identify the barriers and facilitators for the de-implementing of specific low-value practices, and to advance the development and piloting of de-implementation interventions. There will be a focus on patient-mediated/led de-implementation strategies. Projects will be both quantitative and qualitative and incorporate the public and healthcare professional perspective.
Engaging community members in health policy decisions enhances the legitimacy and acceptability of those decisions to the public. However, methodology in this area is under-developed. This PhD will investigate existing practices for community engagement methods in health policy, develop and test quality frameworks for community engagement, and implement community engagement initiatives. These projects will involve a mix of qualitative and quantitative research designs.
If you are interested in any of these themes
Find out more about our current HDR students.
Bond HDR Scholarships
Higher degree research (HDR) scholarships aim to ensure students have sufficient resources whilst studying.
Bond University offers a limited number of HDR scholarships to potential students who wish to continue their education through a PhD program.