José Pagán

José Pagán
José Pagán

Chair and Professor of the Department of Public Health Policy and Management

Professional overview

Dr. Pagán is also Director of the Center for Health Innovation at The New York Academy of Medicine and Adjunct Senior Fellow and member of the Executive Advisory Board of the Leonard Davis Institute of Health Economics at the University of Pennsylvania.

Dr. Pagán received his PhD in economics from the University of New Mexico and is a former Robert Wood Johnson Foundation Health & Society Scholar with expertise in health economics and population health. Over the years his research has been funded through grants and contracts from the Department of Defense, the Agency for Healthcare Research and Quality, the National Institutes of Health, the Centers for Medicare & Medicaid Services, the European Commission, and the Robert Wood Johnson Foundation, among others. He is also a member of the Board of Directors of the Interdisciplinary Association for Population Health Science and a member of the National Advisory Committee of the Robert Wood Johnson Foundation’s Health Policy Research Scholars.

Areas of research and study

Applied Economics
Health Economics
Population Health
Public Health Policy

Publications

Publications

Connecting healthcare professionals in Central America through management and leadership development: A social network analysis

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“Hey, We Can Do This Together”: Findings from an Evaluation of a Multi-sectoral Community Coalition

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Assessing the Impact of Language Access Regulations on the Provision of Pharmacy Services

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Decoding Nonadherence to Hypertensive Medication in New York City: A Population Segmentation Approach

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Diabetes Management Through Remote Patient Monitoring: The Importance of Patient Activation and Engagement with the Technology

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Do State Opioid Policies Influence Nonprofit Hospitals’ Decisions to Address Substance Abuse in Their Communities?

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Measuring Efforts of Nonprofit Hospitals to Address Opioid Abuse After the Affordable Care Act

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Patient Perception and Cost-Effectiveness of a Patient Navigation Program to Improve Breast Cancer Screening for Hispanic Women

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Spatial enablement to support environmental, demographic, socioeconomics and health data integration and analysis for big cities: A case study with asthma hospitalizations in New York City

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The Impact of Ritual Bathing in a Holy Hindu River on Waterborne Diseases

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Assessing the role of access and price on the consumption of fruits and vegetables across New York City using agent-based modeling

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Cost-effectiveness analysis of intensive hypertension control in China

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Power Up for Health—Participants’ Perspectives on an Adaptation of the National Diabetes Prevention Program to Engage Men

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Remote Patient Monitoring and Clinical Outcomes for Postdischarge Patients with Type 2 Diabetes

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Cost-effectiveness of a patient navigation program to improve cervical cancer screening

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Delivery and Payment Redesign to Reduce Disparities in High Risk Postpartum Care

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Identifying policy levers and opportunities for action across states to achieve health equity

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Integrating principles from behavioral economics into patient navigation programs targeting cancer screening

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Nutrition Label Use and Sodium Intake in the U.S.

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Systems science simulation modeling to inform urban health policy and planning

Li, Y., Boufford, J. I., & Pagán, J. A. In , & , Springer Optimization and Its Applications.

Publication year

2017

Page(s)

151-166
Abstract
More than half of the population in the world lives in cities and urban populations are still rapidly expanding. Increasing population growth in cities inevitably brings about the intensification of urban health problems. The multidimensional nature of factors associated with health together with the dynamic, interconnected environment of cities moderates the effects of policies and interventions that are designed to improve population health. With the emergence of the “Internet of Things” and the availability of “Big Data,” policymakers and practitioners are in need of a new set of analytical tools to comprehensively understand the social, behavioral, and environmental factors that shape population health in cities. Systems science, an interdisciplinary field that draws concepts, theories, and evidence from fields such as computer science, engineering, social planning, economics, psychology, and epidemiology, has shown promise in providing practical conceptual and analytical approaches that can be used to solve urban health problems. This chapter describes the level of complexity that characterizes urban health problems and provides an overview of systems science features and methods that have shown great promise to address urban health challenges. We provide two specific examples to showcase systems science thinking: one using a system dynamics model to prioritize interventions that involve multiple social determinants of health in Toronto, Canada, and the other using an agent-based model to evaluate the impact of different food policies on dietary behaviors in NewYork City. These examples suggest that systems science has the potential to foster collaboration among researchers, practitioners, and policymakers from different disciplines to evaluate interconnected data and address challenging urban health problems.

Telementoring Primary Care Clinicians to Improve Geriatric Mental Health Care

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Using systems science to inform population health strategies in local health departments: A case study in San Antonio, Texas

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Who does not reduce their sodium intake despite being advised to do so? A population segmentation analysis

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Agent-based modeling of chronic diseases: A narrative review and future research directions

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An agent-based model for ideal cardiovascular health

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Contact

jp5083@nyu.edu +1 (212) 992-3700 715/719 Broadway New York, NY 10003