Tom has a PhD in mathematics and is currently the Information Theme Lead for the Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Northwest London at Imperial College, and a Health Foundation Improvement Science Fellow.
Tom has first-hand experience working on around 70 multidisciplinary healthcare research and improvement projects at CLAHRC. His research interests are in quantitative aspects of evaluation of complex interventions, and in how best to foster good measurement in improvement work. Tom uses statistical and data science methods to capture learning from large datasets, to inform improvement in health and care services.
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et al., 2018, Criteria for evaluating programme theory diagrams in quality improvement initiatives: a structured method for appraisal, International Journal for Quality in Health Care, Vol:30, ISSN:1353-4505, Pages:508-513
Etchells E, Woodcock T, 2018, Value of small sample sizes in rapid-cycle quality improvement projects 2: assessing fidelity of implementation for improvement interventions, Bmj Quality & Safety, Vol:27, ISSN:2044-5415, Pages:61-65
et al., 2017, How to attribute causality in quality improvement: lessons from epidemiology, Bmj Quality & Safety, Vol:26, ISSN:2044-5415, Pages:933-937
Reed JE, Davey N, Woodcock T, 2016, The foundations of quality improvement science, Future Hospital Journal, Vol:3, ISSN:2055-3331, Pages:199-202
et al., 2017, APPLYING THE CONCEPT OF 'HARD CORE' AND 'SOFT PERIPHERY' OF INTERVENTIONS TO SHARE LEARNING FROM QUALITY IMPROVEMENT EFFORTS, OXFORD UNIV PRESS, Pages:47-48, ISSN:1353-4505