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David Packman

NIHR Pre-doctoral Fellow & Research Assistant in Health Economic Modelling

 01392 72 2144

 South Cloisters 3.09

 

South Cloisters, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK

Overview

David has a background in mathematical modelling and has carried out research in Applied Mathematics for Demography within the Environment and Sustainability Institute at the University of Exeter, including on behalf of the Forest Commission. He has also worked for the National Oceanography Centre of the University of Southampton, and collaborated with researchers there on a mathematical demography project funded by the Wellcome Trust.

Since joining PenTAG, David has worked as a health economic modeller on multiple appraisals, validating and critiquing the cost-effectiveness models submitted to NICE and producing the Evidence Review Group (ERG) versions, justifying decisions in ERG reports and at NICE Appraisal Committee Meetings. David has also represented PenTAG at the 2018 NICE Consultation on the Technology Appraisal process and at the ISPOR 20th Annual European Congress.

With the endorsement of the College of Medicine and Health, David was awarded an NIHR Pre-Doctoral Fellowship in 2019. As part of the award, he has completed an MSc in Medical Statistics, and is currently undertaking statistical analyses with the Health Statistics Group, including for the MYRIAD project on mindfulness and resilience in adolescence.

Qualifications

University of Leicester - MSc in Medical Statistics with a specialisation in Health Technology Assessment

University of Keele - BSc Honours in Mathematics

Research

Publications

Key publications | Publications by category | Publications by year

Publications by category


Journal articles

Farmer C, Bullement A, Packman D, Long L, Robinson S, Nikram E, Hatswell AJ, Melendez-Torres GJ, Crathorne L (2020). Voretigene Neparvovec for Treating Inherited Retinal Dystrophies Caused by RPE65 Gene Mutations: an Evidence Review Group Perspective of a NICE Highly Specialised Technology Appraisal. Pharmacoeconomics, 38(12), 1309-1318. Abstract.  Author URL.
Varley-Campbell J, Mujica Mota R, Coelho H, Ocean N, Barnish M, Packman D, Dodman S, Cooper C, Snowsill TM, Kay T, et al (2019). Three biomarker tests to help diagnose preterm labour: a systematic review and economic evaluation. Health Technology Assessment, 23(13). Full text.
Nicol‑Harper A, Dooley C, Packman D, Mueller M, Bijak J, Hodgson D, Townley S, Ezard T (2018). Inferring transient dynamics of human populations from matrix non-normality. Population Ecology Full text.
Guiver C, Packman D, Townley S (2017). A necessary condition for dispersal driven growth of populations with discrete patch dynamics. J Theor Biol, 424, 11-25. Abstract.  Author URL.

Reports

Barnish M, Cummins E, Coelho H, Johnston R, Packman D, Shaw N, Haigh R, Crathorne L, Melendez-Torres GJ (2020). Upadacitinib for treating moderate to severe rheumatoid arthritis [ID1400]: a Single Technology Appraisal. NICE.
Bello S, Griffin E, Farmer C, Nikram E, Robinson S, Packman D, Salmon A, Cossburn M, Melendez-Torres GJ, Crathorne L, et al (2019). Fremanezumab for preventing migraine: a Single Technology Appraisal. NICE.
Farmer C, Bullement A, Packman D, Long L, Robinson S, Nikram E, Bello S, Dodman S, Rezaei Hemami M, Churchill A, et al (2019). Voretigene neparvovec for inherited retinal dystrophies (RPE65 mutations) [ID1054]: a Highly Specialised Technology Evaluation. NICE.
Barnish M, Varley-Campbell J, Coelho H, Dodman S, Snowsill T, Mujica-Mota R, Packman D, Ocean N, Kay T, Liversedge N, et al (2018). Biomarker tests to help diagnose preterm labour in symptomatic women with intact membranes: a systematic review.
Varley-Campbell J, Mujica-Mota R, Coelho H, Ocean N, Barnish M, Packman D, Dodman S, Cooper C, Snowsill T, Kay T, et al (2018). Biomarker tests to help diagnose preterm labour in women with intact membranes. NICE.
Griffin E, Barnish M, Packman D, Coelho H, Matthews J, Dodman S, Robinson S, Dangoor A, Dorey N, Hoyle M, et al (2018). Brigatinib for treating ALK-positive non-small-cell lung cancer after crizotinib: a Single Technology Appraisal. NICE.
Griffin E, Farmer C, Packman D, Nikram E, Matthews J, Barnish M, Briscoe S, Dorey N, Dangoor A, Mujica Mota R, et al (2018). Pembrolizumab with pemetrexed and platinum chemotherapy for untreated metastatic non-squamous non-small-cell lung cancer [ID1173]: a Single Technology Appraisal. NICE.

Publications by year


2020

Barnish M, Cummins E, Coelho H, Johnston R, Packman D, Shaw N, Haigh R, Crathorne L, Melendez-Torres GJ (2020). Upadacitinib for treating moderate to severe rheumatoid arthritis [ID1400]: a Single Technology Appraisal. NICE.
Farmer C, Bullement A, Packman D, Long L, Robinson S, Nikram E, Hatswell AJ, Melendez-Torres GJ, Crathorne L (2020). Voretigene Neparvovec for Treating Inherited Retinal Dystrophies Caused by RPE65 Gene Mutations: an Evidence Review Group Perspective of a NICE Highly Specialised Technology Appraisal. Pharmacoeconomics, 38(12), 1309-1318. Abstract.  Author URL.

2019

Bello S, Griffin E, Farmer C, Nikram E, Robinson S, Packman D, Salmon A, Cossburn M, Melendez-Torres GJ, Crathorne L, et al (2019). Fremanezumab for preventing migraine: a Single Technology Appraisal. NICE.
Varley-Campbell J, Mujica Mota R, Coelho H, Ocean N, Barnish M, Packman D, Dodman S, Cooper C, Snowsill TM, Kay T, et al (2019). Three biomarker tests to help diagnose preterm labour: a systematic review and economic evaluation. Health Technology Assessment, 23(13). Full text.
Farmer C, Bullement A, Packman D, Long L, Robinson S, Nikram E, Bello S, Dodman S, Rezaei Hemami M, Churchill A, et al (2019). Voretigene neparvovec for inherited retinal dystrophies (RPE65 mutations) [ID1054]: a Highly Specialised Technology Evaluation. NICE.

2018

Barnish M, Varley-Campbell J, Coelho H, Dodman S, Snowsill T, Mujica-Mota R, Packman D, Ocean N, Kay T, Liversedge N, et al (2018). Biomarker tests to help diagnose preterm labour in symptomatic women with intact membranes: a systematic review.
Varley-Campbell J, Mujica-Mota R, Coelho H, Ocean N, Barnish M, Packman D, Dodman S, Cooper C, Snowsill T, Kay T, et al (2018). Biomarker tests to help diagnose preterm labour in women with intact membranes. NICE.
Griffin E, Barnish M, Packman D, Coelho H, Matthews J, Dodman S, Robinson S, Dangoor A, Dorey N, Hoyle M, et al (2018). Brigatinib for treating ALK-positive non-small-cell lung cancer after crizotinib: a Single Technology Appraisal. NICE.
Nicol‑Harper A, Dooley C, Packman D, Mueller M, Bijak J, Hodgson D, Townley S, Ezard T (2018). Inferring transient dynamics of human populations from matrix non-normality. Population Ecology Full text.
Griffin E, Farmer C, Packman D, Nikram E, Matthews J, Barnish M, Briscoe S, Dorey N, Dangoor A, Mujica Mota R, et al (2018). Pembrolizumab with pemetrexed and platinum chemotherapy for untreated metastatic non-squamous non-small-cell lung cancer [ID1173]: a Single Technology Appraisal. NICE.

2017

Guiver C, Packman D, Townley S (2017). A necessary condition for dispersal driven growth of populations with discrete patch dynamics. J Theor Biol, 424, 11-25. Abstract.  Author URL.

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Teaching

David has achieved two professional accreditations for teaching as part of the Learning and Teaching in Higher Education Programme at the University of Exeter. He has prepared and delivered lectures and example classes in Mathematics for Engineering, as well as leading small group tutorials and assessing coursework. He has acted as a mentor for a Peer Assisted Learning scheme and held one-to-one tuition sessions in Mathematics and Statistics as part of the Academic Skills service at the University. He has also assisted with workshops for modules on the Fundamentals of Interdisciplinary Mathematics, Systematic Reviews for Policy and Practice, and the Principles of Medical Research. 

Supervision / Group

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