Thomas Monks

TL;DR: Challenges resulting from the COVID-19 pandemic are identified and how simulation modelling could help to support decision-makers in making the most informed decisions are discussed.

Abstract: Table of contentsKEYNOTE PRESENTATIONSK1 Researching complex interventions: the need for robust approachesPeter CraigK2 Complex intervention studies: an important step in developing knowledge for practiceIngalill Rahm-HallbergK3 Public and patient involvement in research: what, why and how?Nicky BrittenK4 Mixed methods in health service research – where do we go from here?Gunilla BorglinSPEAKER PRESENTATIONSS1 Exploring complexity in systematic reviews of complex interventionsGabriele Meyer, Sascha Köpke, Jane Noyes, Jackie ChandlerS2 Can complex health interventions be optimised before moving to a definitive RCT? Strategies and methods currently in useSara LevatiS3 A systematic approach to develop theory based implementation interventionsAnne SalesS4 Pilot studies and feasibility studies for complex interventions: an introductionLehana Thabane, Lora GiangregorioS5 What can be done to pilot complex interventions?Nancy Feeley, Sylvie CossetteS6 Using feasibility and pilot trials to test alternative methodologies and methodological procedures prior to full scale trialsRod TaylorS7 A mixed methods feasibility study in practiceJacqueline Hill, David A Richards, Willem KuykenS8 Non-standard experimental designs and preference designsLouise von EssenS9 Evaluation gone wild: using natural experimental approaches to evaluate complex interventionsAndrew WilliamsS10 The stepped wedge cluster randomised trial: an opportunity to increase the quality of evaluations of service delivery and public policy interventionsKarla Hemming, Richard Lilford, Alan Girling, Monica TaljaardS11 Adaptive designs in confirmatory clinical trials: opportunities in investigating complex interventionsMunyaradzi DimairoS12 Processes, contexts and outcomes in complex interventions, and the implications for evaluationMark PetticrewS13 Processes, contexts and outcomes in complex interventions, and the implications for evaluationJanis Baird, Graham MooreS14 Qualitative evaluation alongside RCTs: what to consider to get relevant and valuable resultsWillem Odendaal, Salla Atkins, Elizabeth Lutge, Natalie Leon, Simon LewinS15 Using economic evaluations to understand the value of complex interventions: when maximising health status is not sufficientKatherine PayneS16 How to arrive at an implementation planTheo van AchterbergS17 Modelling process and outcomes in complex interventionsWalter SermeusS18 Systems modelling for improving health careMartin Pitt, Thomas Monks

TL;DR: A standardised checklist approach to improve the reporting of discrete-event simulation, system dynamics and agent-based simulation models within the field of Operational Research and Management Science, and derives general good practice principles and three 20-item checklists aimed at strengthening the Reporting of Empirical Simulation Studies (STRESS).

TL;DR: The breadth of approaches available to support delivery and design across many areas and levels of healthcare planning is surveyed, featuring a case study in emergency stroke care as an exemplar of an impactful application of health system modelling.

TL;DR: An overview of the major approaches to assessing nurse staffing requirements is given and recent evidence is identified in order to address unanswered questions including the accuracy and effectiveness of tools.