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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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Using simulation modeling to inform intervention and implementation selection in a rapid stakeholder-engaged hybrid

Jessica E Becker1, Fatma M Shebl2,3, Elena Losina3,4

  • 1Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, NYU Langone Health, One Park Avenue, Seventh Floor, New York, NY, 10016, USA. Jessica.Becker@nyulangone.org.

Implementation Science Communications
|June 24, 2024
PubMed
Summary

Simulation modeling identified vaccination as key to reducing COVID-19 infections in group homes. This approach rapidly informed tailored interventions for vulnerable populations during public health emergencies.

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Services Research

Background:

  • Implementation research typically assumes pre-established evidence-based practices, which is often unfeasible during public health emergencies.
  • This study addresses the need for rapid intervention design in crisis situations, focusing on vulnerable populations in group homes.
  • Utilizes a simulation model to inform a stakeholder-engaged process for developing tailored COVID-19 mitigation strategies.

Purpose of the Study:

  • To employ a simulation model to guide the rapid development of a tailored intervention and implementation strategy for COVID-19 mitigation.
  • To inform a stakeholder-engaged process for protecting individuals with serious mental illness (SMI) and intellectual/developmental disabilities (ID/DD) in group homes.
  • To assess the effectiveness of various COVID-19 mitigation strategies in a group home setting.

Main Methods:

  • A validated dynamic microsimulation model of COVID-19 transmission was used to evaluate mitigation strategies for group home staff and residents.
  • Model inputs were derived from stakeholder data, public records, and literature, assessing strategies like screening, testing, isolation, PPE, and vaccination.
  • Multidisciplinary stakeholders provided input iteratively as the pandemic evolved, with sensitivity analyses conducted for parameter uncertainty.

Main Results:

  • Vaccination was projected to yield the largest decrease in infections; increasing uptake to 90% significantly reduced resident and staff infections.
  • Routine testing showed minimal benefit, while simulated removal of masking increased infections.
  • Simulation results informed the selection of a "Tailored Best Practice" intervention package for a hybrid trial.

Conclusions:

  • Vaccination and addressing vaccine hesitancy among staff are crucial for mitigating COVID-19 risk in group homes.
  • Simulation modeling proved effective for rapidly informing prevention and implementation strategy selection in a hybrid trial.
  • This simulation-based approach is valuable for future rapid deployment of interventions when tailored data is scarce.