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Very Good Health Hospital - Coggle Diagram
Very Good Health Hospital
Drivers of ethical
research
Advancement: To advance health, wellbeing and interests of patients, consumers, communities, populations, healthcare systems and the healthcare sector.
Merit and integrity: Continuous commitment to improving outcomes in healthcare through promotion of responsible innovation, generation and utilisation of evidence, economic cooperation, reduction of waste, and productivity.
Knowledge: The need to discover new drugs with better results as well as new techniques and robust strategies to fight against new grown diseases or existing complicated diseases structures i.e. Covid-19
Trust: People are more likely to fund a research project if they can trust the quality and integrity of research.
Truth: Avoidance of error. For example, prohibitions against fabricating, falsifying, or misrepresenting research data promote the truth and minimize error.
Accountability: Ensure that researchers can be held accountable to the public. ? how will mhr be destroyed after 7 years ?
Beneficence: Minimise the risks of harm, clarify benefits, explain the risks.
Solidarity: A collective commitment to equitably sharing costs and benefits for the good of a
group, community, nation or global population.
APP 13
Reproducibility in medication and drugs, cost effectiveness.
Issues to be considered by Very Good Health Hospital
Data Security
EHR data is the most vulnerable data to cyber treats. Criminals target health data for financial gain. Are pharmaceutical systems secure data.
Informed consent
Consumers have to opt out of secondary data.
Data Ownership
De-identified, it is no longer personal information and can therefore be used or shared in ways that may not otherwise be permitted under the Privacy Act
At risk populations
Aboriginal and Torres Strait Islander people and communities.
Children/Young people
Elderly persons
People with disabilities
Risk Vs Benefit
Research is ethically acceptable only when its potential benefits justify any risks involved in the research.
De-identified data
The ability to completely remove the risk of identification is a matter of contention. Data de-identification is not an exact science and judgement calls may still need to be made when de-identifying data.
genetic information
Hospital recommendations on how to proceed
The five safes framework
Safe People: Is the researcher appropriately authorised to access and use the data?
Safe Projects: Is the data to be used for an appropriate purpose?
Safe Settings: Does the access environment prevent unauthorised use?
Safe Data: Has appropriate and sufficient protection been applied to the data?
Safe Outputs: Are the statistical results non-disclosive?
Obtain research authority to use MHR data
Consider need for ethical approval
Does research have value?
Does the research require sensitive data? Arrange de-identification of data
Is consent practicable?
Can research be done using pre-existing publicly available data?
Access risk. Do the benefits outweigh the risks?