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Evaluating incident reporting of medicines related errors in community pharmacies to develop strategies for harm reduction

Project Description

Every year in England community pharmacies dispense more than 1 billion prescription items. Pharmacies, like all areas of healthcare involve human input and therefore there is risk of error. A recent report by Elliott et al. suggests that there are more than 237 million errors relating to medicines across the NHS annually, with significant financial burden. Community Pharmacy is not exempt from this. This is also a priority area for the World Health Organisation who published the third Global Patient Safety Challenge: “Medication Without Harm” in 2017 aiming to reduce severe avoidable medication-related harm by 50%, globally in the next 5 years.
This project will begin by investigating what can be learnt from in depth study of incident reporting data in the community pharmacy sector. Rigorous interrogation of these data will identify key error types and contributory factors which will in turn create priorities for improvement.
For the right candidate, this PhD offers an unrivalled opportunity to work with a significant and rich dataset alongside experts in the field. With an opportunity to go on to develop interventions to improve care provision. This would suit ideally suit a pharmacist or a pharmacy technician, however candidates from other disciplines are strongly encouraged to apply if this is an area that you are interested in.
Interviews will be held either in person or by Skype on Monday 16 September (AM).
This PhD is for October 2019 start

Funding Notes

This fully funded PhD covers tuition fees and offers a tax-free stipend at the current RCUK funding levels for 3 years. The project is funded jointly by Boots UK and The University of Nottingham School of Pharmacy.

Application enquiries can be sent to Dr Matthew Boyd . Please include “Boots UK PhD query” in the subject line

How good is research at University of Nottingham in Allied Health Professions, Dentistry, Nursing and Pharmacy?

FTE Category A staff submitted: 44.10

Research output data provided by the Research Excellence Framework (REF)

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