ArticleImplementation research and practice
Agent-Based Modeling for Implementation Research: An Application to Tobacco Smoking Cessation for Persons with Serious Mental Illness.
Article in Implementation research and practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Advancing systems thinking in implementation science: An epidemiologic perspective.Annals of epidemiology · 2026Article
- Integrating systems and implementation science in modeling and evaluating complex health interventions: methodological reflections from service delivery redesign in Kakamega, Kenya.Health policy and planning · 2026Article
- Investigating the population health impact of an oral tobacco-derived nicotine pouch product utilizing a three-product tobacco use population model.Frontiers in public health · 2026Article
- Medical AI across Data Regimes to Promote Proactive Health.Health data science · 2026Review
- Integrating HIV prevention services into care settings for people with opioid use disorder (OUD): a study protocol for implementation strategy development and modeling.Implementation science communications · 2025Article
- Incorporating social determinants of health into agent-based models of HIV transmission: methodological challenges and future directions.Frontiers in epidemiology · 2025Review
- Social network dynamics of tobacco smoking and alcohol use among persons involved with the criminal legal system (PCLS): A modeling study.International journal of alcohol and drug research · 2024Article
- Agent-Based Model of Combined Community- and Jail-Based Take-Home Naloxone Distribution.JAMA network open · 2024Article
- Using simulation modeling to inform intervention and implementation selection in a rapid stakeholder-engaged hybrid effectiveness-implementation randomized trial.Implementation science communications · 2024Article
- The Lancet Psychiatry Commission: transforming mental health implementation research.The lancet. Psychiatry · 2024Review
- Scaling Interventions to Manage Chronic Disease: Innovative Methods at the Intersection of Health Policy Research and Implementation Science.Prevention science : the official journal of the Society for Prevention Research · 2024Article
- Childhood Sugar-Sweetened Beverage Consumption: an Agent-Based Model of Context-Specific Reduction Efforts.American journal of preventive medicine · 2023Article
- A structured approach to applying systems analysis methods for examining implementation mechanisms.Implementation science communications · 2023Article
- Understanding Misimplementation in U.S. State Health Departments: An Agent-Based Model.American journal of preventive medicine · 2023Article
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Authors and funding
8 authors.
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Abstract
backgroundImplementation researchers have sought ways to use simulations to support the core components of implementation, which typically include assessing the need for change, designing implementation strategies, executing the strategies, and evaluating outcomes. The goal of this paper is to explain how agent-based modeling could fulfill this role.
methodsWe describe agent-based modeling with respect to other simulation methods that have been used in implementation science, using non-technical language that is broadly accessible. We then provide a stepwise procedure for developing agent-based models of implementation processes. We use, as a case study to illustrate the procedure, the implementation of evidence-based smoking cessation practices for persons with serious mental illness (SMI) in community mental health clinics.
resultsFor our case study, we present descriptions of the motivating research questions, specific models used to answer these questions, and a summary of the insights that can be obtained from the models. In the first example, we use a simple form of agent-based modeling to simulate the observed smoking behaviors of persons with SMI in a recently completed trial (IDEAL, Comprehensive Cardiovascular Risk Reduction Trial in Persons with SMI). In the second example, we illustrate how a more complex agent-based approach that includes interactions between patients, providers and site administrators can be used to provide guidance for an implementation intervention that includes training and organizational strategies. This example is based in part on an ongoing project focused on scaling up evidence-based tobacco smoking cessation practices in community mental health clinics in Maryland.
conclusionIn this paper we explain how agent-based models can be used to address implementation science research questions and provide a procedure for setting up simulation models. Through our examples, we show how what-if scenarios can be examined in the implementation process, which are particularly useful in implementation frameworks with adaptive components.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.