Gary Hirsch
Dados Biográficos
| ID | 5537683 |
|---|---|
| NOME | Gary Hirsch |
| PRENOMES | Gary |
| SOBRENOME | Hirsch |
| ASSINATURA | HIRSCH G |
| AFILIAÇÕES | Gary Hirsch is an independent consultant based in Wayland, MA. Jack Homer is with Homer Consulting, Voorhees, NJ. At the time of the study, Justin Trogdon was with RTI International, Research Triangle Park, NC. Kristina Wile is with Systems Thinking Collaborative, Stow, MA. Diane Orenstein is with the Centers for Disease Control and Prevention (CDC), Atlanta, GA. |
| ORCID | 0000-0001-5187-8794 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAÇÕES | 77 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1974 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 4 |
System dynamics modeling in support of community-based decision-making to reduce opioid overdose fatalities
Both New York State (NYS) and the United States have experienced heightened levels of opioid overdose death and prevalence of opioid use in recent decades. While evidence-based practices (EBPs) to address opioid use and prevent overdose fatalities exist, their reach in many communities remains limited. Persistent systems-level barriers must be overcome to support and sustain effective EBP implementation. This paper describes the Systems Think Tan…
System dynamics modeling to inform implementation of evidence-based prevention of opioid overdose and fatality
The Association of American Medical Colleges’ Local Area Physician Workforce Modeling Project
Physician workforce planning must address multiple concerns such as having sufficient numbers and adequate geographic distribution of physicians and pressures for physicians to adapt to new models of care and payment. Though there are national workforce planning tools, planning tools for local areas have been scarce. This article describes a dynamic simulation model developed as a pilot project to support physician workforce planning in 2 metropo…
Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks
The Prevention Impacts Simulation Model (PRISM) projects the multiyear impacts of 22 different interventions aimed at reducing risk of cardiovascular disease. We grouped these into 4 categories: clinical, behavioral support, health promotion and access, and taxes and regulation. We simulated impacts for the United States overall and also for a less-advantaged county with a higher death rate. Of the 4 categories of intervention, taxes and regulati…
Understanding social forces involved in diabetes outcomes
A System Dynamics Model for Planning Cardiovascular Disease Interventions
Planning programs for the prevention and treatment of cardiovascular disease (CVD) is a challenge to every community that wants to make the best use of its limited resources. Selecting programs that provide the greatest impact is difficult because of the complex set of causal pathways and delays that link risk factors to CVD. We describe a system dynamics simulation model developed for a county health department that incorporates and tracks the e…
Analyzing National Health Reform Strategies With a Dynamic Simulation Model
Proposals to improve the US health system are commonly supported by models that have only a few variables and overlook certain processes that may delay, dilute, or defeat intervention effects. We use an evidence-based dynamic simulation model with a broad national scope to analyze 5 policy proposals. Our results suggest that expanding insurance coverage and improving health care quality would likely improve health status but would also raise cost…
Featurestories that inspire action
Editors' Note: Arts-based brand consultancy On Your Feet explores a structure---"Story Plotter"---for organizational stories that help businesses and brands differentiate themselves from their competition and develop a culture of action
Using system dynamics modeling to understand the impact of social change initiatives
Community psychologists have a long history of interest in understanding social systems and how to bring about enduring positive change in these systems. However, the methods that community psychologists use to anticipate and evaluate the changes that result from system change efforts are less well developed. In the current paper, we introduce readers to system dynamics modeling, an action research approach to studying complex systems and the con…
System Dynamics Modeling for Public Health
The systems modeling methodology of system dynamics is well suited to address the dynamic complexity that characterizes many public health issues. The system dynamics approach involves the development of computer simulation models that portray processes of accumulation and feedback and that may be tested systematically to find effective policies for overcoming policy resistance. System dynamics modeling of chronic disease prevention should seek t…
Evaluating HMO Policies with a Computer Simulation Model
The development and design of a computer simulation model of a health maintenance organization (HMO) is described. Simulation models permit experimenting with policy changes without the risk of actually making major alterations. The data for this model came from applying it to the issues facing a Children and Youth Project considering conversion to an HMO. To illustrate the model's usefulness, simulations arc presented, showing the impact of diff…
System Dynamics Modeling for Public Health
The systems modeling methodology of system dynamics is well suited to address the dynamic complexity that characterizes many public health issues. The system dynamics approach involves the development of computer simulation models that portray processes of accumulation and feedback and that may be tested systematically to find effective policies for overcoming policy resistance. System dynamics modeling of chronic disease prevention should seek t…
Using system dynamics modeling to understand the impact of social change initiatives
Community psychologists have a long history of interest in understanding social systems and how to bring about enduring positive change in these systems. However, the methods that community psychologists use to anticipate and evaluate the changes that result from system change efforts are less well developed. In the current paper, we introduce readers to system dynamics modeling, an action research approach to studying complex systems and the con…
Analyzing National Health Reform Strategies With a Dynamic Simulation Model
Proposals to improve the US health system are commonly supported by models that have only a few variables and overlook certain processes that may delay, dilute, or defeat intervention effects. We use an evidence-based dynamic simulation model with a broad national scope to analyze 5 policy proposals. Our results suggest that expanding insurance coverage and improving health care quality would likely improve health status but would also raise cost…
A System Dynamics Model for Planning Cardiovascular Disease Interventions
Planning programs for the prevention and treatment of cardiovascular disease (CVD) is a challenge to every community that wants to make the best use of its limited resources. Selecting programs that provide the greatest impact is difficult because of the complex set of causal pathways and delays that link risk factors to CVD. We describe a system dynamics simulation model developed for a county health department that incorporates and tracks the e…
Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks
The Prevention Impacts Simulation Model (PRISM) projects the multiyear impacts of 22 different interventions aimed at reducing risk of cardiovascular disease. We grouped these into 4 categories: clinical, behavioral support, health promotion and access, and taxes and regulation. We simulated impacts for the United States overall and also for a less-advantaged county with a higher death rate. Of the 4 categories of intervention, taxes and regulati…
Evaluating HMO Policies with a Computer Simulation Model
The development and design of a computer simulation model of a health maintenance organization (HMO) is described. Simulation models permit experimenting with policy changes without the risk of actually making major alterations. The data for this model came from applying it to the issues facing a Children and Youth Project considering conversion to an HMO. To illustrate the model's usefulness, simulations arc presented, showing the impact of diff…
System Dynamics Modeling for Public Health
The systems modeling methodology of system dynamics is well suited to address the dynamic complexity that characterizes many public health issues. The system dynamics approach involves the development of computer simulation models that portray processes of accumulation and feedback and that may be tested systematically to find effective policies for overcoming policy resistance. System dynamics modeling of chronic disease prevention should seek t…
Using system dynamics modeling to understand the impact of social change initiatives
Community psychologists have a long history of interest in understanding social systems and how to bring about enduring positive change in these systems. However, the methods that community psychologists use to anticipate and evaluate the changes that result from system change efforts are less well developed. In the current paper, we introduce readers to system dynamics modeling, an action research approach to studying complex systems and the con…
Featurestories that inspire action
Editors' Note: Arts-based brand consultancy On Your Feet explores a structure---"Story Plotter"---for organizational stories that help businesses and brands differentiate themselves from their competition and develop a culture of action
A System Dynamics Model for Planning Cardiovascular Disease Interventions
Planning programs for the prevention and treatment of cardiovascular disease (CVD) is a challenge to every community that wants to make the best use of its limited resources. Selecting programs that provide the greatest impact is difficult because of the complex set of causal pathways and delays that link risk factors to CVD. We describe a system dynamics simulation model developed for a county health department that incorporates and tracks the e…
Analyzing National Health Reform Strategies With a Dynamic Simulation Model
Proposals to improve the US health system are commonly supported by models that have only a few variables and overlook certain processes that may delay, dilute, or defeat intervention effects. We use an evidence-based dynamic simulation model with a broad national scope to analyze 5 policy proposals. Our results suggest that expanding insurance coverage and improving health care quality would likely improve health status but would also raise cost…
Understanding social forces involved in diabetes outcomes
Using Simulation to Compare 4 Categories of Intervention for Reducing Cardiovascular Disease Risks
The Prevention Impacts Simulation Model (PRISM) projects the multiyear impacts of 22 different interventions aimed at reducing risk of cardiovascular disease. We grouped these into 4 categories: clinical, behavioral support, health promotion and access, and taxes and regulation. We simulated impacts for the United States overall and also for a less-advantaged county with a higher death rate. Of the 4 categories of intervention, taxes and regulati…
The Association of American Medical Colleges’ Local Area Physician Workforce Modeling Project
Physician workforce planning must address multiple concerns such as having sufficient numbers and adequate geographic distribution of physicians and pressures for physicians to adapt to new models of care and payment. Though there are national workforce planning tools, planning tools for local areas have been scarce. This article describes a dynamic simulation model developed as a pilot project to support physician workforce planning in 2 metropo…
System dynamics modeling in support of community-based decision-making to reduce opioid overdose fatalities
Both New York State (NYS) and the United States have experienced heightened levels of opioid overdose death and prevalence of opioid use in recent decades. While evidence-based practices (EBPs) to address opioid use and prevent overdose fatalities exist, their reach in many communities remains limited. Persistent systems-level barriers must be overcome to support and sustain effective EBP implementation. This paper describes the Systems Think Tan…
System dynamics modeling to inform implementation of evidence-based prevention of opioid overdose and fatality
Medicine (10 obras) · Computer Science (9 obras) · Environmental health (6 obras) · Health Policy Implementation Science (6 obras) · Health Systems, Economic Evaluations, Quality of Life (6 obras) · Psychology (6 obras) · Engineering (5 obras) · Artificial Intelligence (4 obras) · Management science (4 obras) · Primary Care and Health Outcomes (4 obras)