Projects per year
Personal profile
Research interests
I am the co-director with Isabel Oliver (Public Health England) and Richard Amlot (Public Health England) of the NIHR Health Protection Research Unit in Behavioural Science and Evaluations, and a member and co-investigator of NIHR School of Public Health Research and DeCIPHER (UKCRC Public Health Centre of Excellence for the Development and Evaluation of Complex Interventions for Public Health Improvement).
My research programme focuses on infectious disease control and the epidemiology and public health consequences of drug use – with active research grants on prevention of Hepatitis C Virus, drug related mortality, and alcohol related harms.
Structured keywords and research groupings
- NIHR SPHR
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Dive into the research topics where Matt Hickman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Evaluating supervised opioid antagonist treatment consumption
Redaniel, M. T., Hickman, M., Wilson, R. & Scott, J.
1/01/24 → 30/06/25
Project: Research
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Full Application: UK Prevention Research Partnership Consortium Grant
1/10/19 → 30/09/24
Project: Research
Research output
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Direct-acting antiviral therapies for hepatitis C infection: global registration, reimbursement, and restrictions
Marshall, A., Willing, A. R., Kairouz, A., Cunningham, E. B., Hickman, M. & Vickerman, P. T., 1 Apr 2024, In: Lancet Gastroenterology and Hepatology. 9, 4, p. 366-382 17 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile9 Citations (Scopus)9 Downloads (Pure) -
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?
Garnett, C., Dinu, L., Oldham, M., Perski, O., Loebenberg, G., Angus, C., Burton, R., Field, M., Greaves, F., Hickman, M., Kaner, E., Michie, S., Munafo, M. R., Pizzo, E. & Brown, J., 29 Jun 2024, In: npj Digital Medicine. 7, 9 p., 174.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access7 Downloads (Pure) -
Effectiveness of a smartphone app (Drink Less) versus usual digital care for reducing alcohol consumption among increasing-and-higher-risk adult drinkers in the UK: a two-arm, parallel-group, double-blind, randomised controlled trial
Oldham, M., Beard, E., Loebenberg, G., Dinu, L., Angus, C., Burton, R., Field, M., Greaves, F., Hickman, M., Kaner, E., Michie, S., Munafò, M., Pizzo, E., Brown, J. & Garnett, C., 1 Apr 2024, In: EClinicalMedicine. 70, 102534.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access3 Citations (Scopus)
Datasets
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The FRANK friends study: Data
White, J. (Creator), Hawkins, J. (Creator), Murphy, S. (Creator), Towson, J. (Creator), Cannings-John, R. (Creator), Madden, K. (Creator), Campbell, R. M. (Creator), Hickman, M. (Creator), Moore, L. (Creator), Bonell, C. (Creator), Parrott, S. (Creator), Zammit, S. (Creator) & Hines, L. (Creator), Cardiff University, 2023
DOI: 10.17035/d.2023.0244798057, https://research.cardiff.ac.uk/converis/portal/detail/Dataset/244798057?auxfun=&lang=en_GB
Dataset
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Nucleation increases the visual appeal of lager but does not alter overall likeability or drinking rate (study 2)
Troy, D. (Creator), Maynard, O. M. (Creator), Hickman, M. (Creator), Munafo, M. R. (Creator), Attwood, A. S. (Creator) & Munafo, M. R. (Data Manager), University of Bristol, 7 Apr 2022
DOI: 10.5523/bris.lxp8eavh7wnn2p57q98rcn2go, http://data.bris.ac.uk/data/dataset/lxp8eavh7wnn2p57q98rcn2go
Dataset
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Nucleation increases the visual appeal of lager but does not alter overall likeability or drinking rate (study 1)
Troy, D. (Creator), Maynard, O. M. (Creator), Hickman, M. (Creator), Munafo, M. R. (Creator), Attwood, A. S. (Creator) & Munafo, M. R. (Data Manager), University of Bristol, 7 Apr 2022
DOI: 10.5523/bris.11gvdrsp5sxo72l6s0suq89e4a, http://data.bris.ac.uk/data/dataset/11gvdrsp5sxo72l6s0suq89e4a
Dataset