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Modelling the impact of poor quality antimicrobials on patient outcome and drug resistance – a pilot study to inform policy in the absence of empirical data (360G-Wellcome-209671_Z_17_Z)

<p>Antimicrobial resistance (AMR) is an increasingly serious and pressing global public health problem.</p> <p>Poor antimicrobial quality is increasingly realised as an important rectifiable impediment to global public health. There has been little discussion or evidence as to its comparative importance, in relation to other drivers such as poor prescribing and adherence, for both poor patient outcomes and AMR.</p> <p>In the absence of field data on the relationship between AMR and antimicrobial quality, mathematical modelling based on pharmacokinetic-pharmacodynamic relationships and rates of genetic change provides estimates which can be used to predict outcomes and inform policy.</p> <p>We propose a two phase modelling approach examining how poor quality essential medicines may affect patient outcomes and resistance selection and spread, modelling in Phase 1 antimalarials and in Phase 2 anti-tuberculosis and anti-hepatitis C medicines.</p> <p>This pilot project will build on the existing Wellcome investment in the Mahidol Oxford Research Unit (MORU) Network (though core funding) and the Infectious Diseases Data Observatory (through the MAPQAMP Biomedical Resources grant and core funding) for modelling, PK/PD and medicine quality resources and skills. The growing interest in medicine quality by nations and international organisations and the invitation by the WHO Member State Mechanism (on medicine quality) to the IDDO/MORU Medicine Quality Group to be a stakeholder, facilitates synergistic discussions with multiple partners and nations. We are also discussing expanding our collaboration with the United States Pharmacopeia PQM program on medicine quality &amp; AMR. We are organising the first Conference on Medicine Quality &amp; Public Health for September 2018 and we intend that the initial results from this work would be presented at this meeting.</p> <p>This project will therefore give the first objective evidence, rather than opinion, on the importance, or otherwise, of medicine quality on patient outcome and AMR, in comparison to poor adherence and poor prescribing. It will link in extremely well with the diverse activities of the MORU Network, IDDO, WHO, USP and diverse other stakeholders and be opportune for influencing policy for both medicine quality and AMR.</p> <p>This project will be linked to the parallel project proposed to Wellcome by Dr Elizabeth Pisani on &lsquo;Understanding the political barriers to tackling sub-standard and falsified medicines&rsquo;.</p>

£99,994

30 Sep 2017

Grant details
Amount Awarded 99994
Applicant Surname Newton
Approval Committee Internal Decision Panel
Award Date 2017-09-30T00:00:00+00:00
Financial Year 2016/17
Grant Programme: Title Discretionary award – DRI
Internal ID 209671/Z/17/Z
Lead Applicant Prof Paul Newton
Other Applicant(s) Dr Elizabeth Ashley, Prof Joel Tarning, Mr Khansoudaphone Phakhounthong, Prof Paul Turner, Dr Céline Caillet, Dr Phetsavanh Chanthavilay, Prof Nicholas Day, Dr Ben Cooper, Prof Lisa White, Prof Philippe J Guerin, Prof Sir Nicholas White
Planned Dates: End Date 2019-08-31T00:00:00+00:00
Planned Dates: Start Date 2017-11-01T00:00:00+00:00
Recipient Org: Country United Kingdom
Region South East
Additional data added by GrantNav