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Policy & Regulatory Analysis

Assessing the economic impact of healthcare policies, regulations, and public health interventions

Policy & Regulatory Analysis

Capabilities

Public policies and regulations can have a significant impact on the structure, conduct, and performance of many industries, especially the U.S. and global health industries. AHE’s capability in Policy & Regulatory Analysis focuses on the impact of healthcare policies and regulations on costs and outcomes and, more broadly, the impact of healthcare and public health interventions on measures of cost, quality, and outcomes. Our team’s broad experience and training in economic analysis and evaluation has been applied to issues regarding organizational change, program effectiveness, economic impact, healthcare training and staffing, regulatory cost-benefit analysis, environmental impact, and simulation analyses of healthcare laws and regulations. Our work products have been used to support policy debates at the city, state, and federal levels. For example, at the federal level, our work has been used to support deliberations by the U.S. House of Representatives Committee on Ways and Means and the U.S. Congressional Budget Office. We have also worked directly with global organizations, including the World Health Organization, on worldwide health issues. Similar to our other practice areas, the common thread is the intersection of rigorous data analysis and modelling with practical and meaningful real-world applications.

Our specific core capabilities include:

Cost-Benefit Analysis of Laws, Policies, & Regulations
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Economic Impact Analysis
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Attributable Costs of Externalities & Harms
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Attributable Costs of Laws & Regulations
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Abatement & Mitigation Costs
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Program Evaluation
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Research Supporting Government Relations
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Development of White Papers & Other Communication Materials
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Publications in Peer-Reviewed Journals
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Education & Training
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Policy & Regulatory Analysis

Examples of Engagements

We serve a wide variety of clients throughout the U.S. and globally, including professional organizations, trade associations, non-profit organizations, and departments and agencies within city, state, and federal government. We have worked on behalf of a wide variety of organizations, ranging from professional medical societies (for example, the American Society of Anesthesiologists, Physician-Led Healthcare for America, the American Optometric Association, and the National Kidney Foundation).

Examples of engagements include:

  • Development of white papers and publications summarizing research on specialty hospitals
  • Analysis of healthcare workforce supply & demand in support of rare diseases
  • Analysis on the effects of physician ownership on costs, quality, and utilization
  • Survey research for specialty medical societies on regulatory issues impacting the profession
  • Assessment of the global environmental impact of the production and consumption of tobacco
  • Analysis of the attributable costs of calorically sweetened beverages
  • Statistical analysis of provider workforce surpluses and shortages
  • Analysis of the operating costs and economic impact of ambulatory surgery centers
  • Analysis of the operating costs of emergency medical services (EMS)
  • Analysis of the operating costs and fair market value of air ambulance services
  • Survey research of substance use disorders among the elderly population
  • Analysis of differences in outcomes associated with practice setting and scope of practice
  • Writing white papers and peer-reviewed publications
Policy & Regulatory Analysis

Does Market Entry of Physician-Owned Hospitals Result in Higher Medicare Expenditures?

A study by J. Schneider, P. Li, and R. Ohsfeldt published in the journal Contemporary Economic Policy (2010) examined the effect of physician-owned hospitals (POHs) on Medicare per enrollee expenditures at the metropolitan area (MSA) level nationwide, spanning the 8-year time period from 1998 to 2005. The working hypothesis was that physician ownership may increase utilization and expenditures through demand inducement. The study used fixed effects panel data regression with instrumental variables to account for the potential bias introduced by endogenous POH market entry (i.e., POHs may be more likely to open in high-growth/high-demand markets with high levels of Medicare per enrollee expenditures).

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Policy & Regulatory Analysis

Sample Publications