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Simulacra & Simulation (& Health Care-Associated Infections). Michael Rubin, MD, PhD Section Chief, Epidemiology VA Salt Lake City Health Care System. Military Simulations. Models in which theories of warfare can be tested and refined without the need for actual hostilities
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Simulacra & Simulation(& Health Care-Associated Infections) Michael Rubin, MD, PhD Section Chief, Epidemiology VA Salt Lake City Health Care System
Military Simulations • Models in which theories of warfare can be tested and refined without the need for actual hostilities • Provide insights that can be applied to real-world situations • a non-prescriptive attempt to inform the decision-making process
Military Simulations • Exist in many different forms, with varying degrees of realism • Are they really useful?
Models in Healthcare Research • Familiar models • Statistical regression models: • Linear, Logistic, Poisson, etc. • Used for prediction, inference, hypothesis testing, and modeling of causal relationships • Rely heavily on the underlying simplifying assumptions being satisfied
Models in Healthcare Research • Familiar models • Equation-based models • Compartmental models, Differential Equation models βI(t) r I(t) R(t) S(t) S I R
Models in Healthcare Research • Less familiar models: simulations • Many different types of simulations • Continuous Dynamic simulations • Discrete Event simulations • Monte Carlo simulations • Agent-based simulations
Agent-Based Models • Agent-based models • Individual-based models/Individual-agent models • System is modeled as collection of autonomous decision-making entities (agents) which exist/interact within an environment or framework • Each agent assesses its situation and makes decisions based on a set of rules (behaviors) and characteristics (parameters) • System-level observables emergefrom individual actions
Agent-Based Models S I R Each individual agent exists in a particular “state” (“Statechart”) States correspond to the different compartments in the SIR model Transitions between states are governed by rates Susceptible Infected Recovered
Agent-Based Models • Agent-based models: Benefits • Can explore dynamics out of the reach of pure mathematical methods • Events occur stochastically rather than deterministically • Can exhibit complex behavior patterns, sometimes unanticipated • Captures emergent phenomena • Provides a natural description of a system • What-if experimentation is accommodated
Agent-Based Models • Situations appropriate for simulation • questions that are too expensive, complicated, or difficult to answer in meatspace • situations where it is impossible (or extremely difficult) to know the absolute "truth" • systems with complex interactions or behaviors that are difficult to express with mathematical equations
MRSA Simulation • Detailed simulation of hospital setting • Patient admissions, transfers, discharges • ICU and non-ICU wards; private and double rooms • Healthcare worker (doctor, nurse) contacts with patients • Environmental contamination • Performance of surveillance testing
Model Components • Patient • Room • Ward/ICU • Nurse • Physician • Network structure • Surveillance
Transmission pathways • Patient nurse patient • Patient physician patient • Patient environment nurse patient • Patient environment physician patient • Patient environment roommate • Patient environment subsequent occupant
Agents and states patient room nurse ADMISSION CLINICAL EVENTS COLONIZATION EVENT asymptomatic off antibiotics node-colonization uncontaminated no isolation unoccupied uncontaminated not colonized uncontaminated symptomatic on antibiotics de-colonization colonized contaminated contaminated contact isolation occupied contaminated DISCHARGE physician
Types of Interventions • Alternative surveillance approaches • Reduce (or increase) antibiotic use • Improve hand hygiene • Modify health care worker - patient contact networks • Expedite discharge • Selectively screen contacts • Decolonize • Carriers versus high-risk patients • Health care workers
MRSA Simulation • Types of questions that can be addressed: • Time to observe decrease in MRSA acquisition? • Do interventions exhibit threshold effects? • How long will it take for a policy to exhibit an effect? • Better to decolonize at admission or discharge? • Time course for effects on community prevalence? These questions cannot be fully addressed by clinical trials
Rural Health Care Access • Can simulation be used to study and optimize access to care in rural settings? • How to optimize access to care across a population in a catchment area • Goal is to design an interactive agent-based simulation model that can be used by researchers and planners to test varying strategies of addressing access in their system