Regulatory Decision-Making and Economic Analysis

2017 ◽  
Author(s):  
Mariano-Florentino Cuéllar ◽  
Jerry L. Mashaw
Keyword(s):  
Public Health ◽  
United States ◽  
Decision Making ◽  
Economic Analysis ◽  
National Security ◽  
Technology Policy ◽  
The United States ◽  
Regulatory Activity ◽  
Regulatory Decision ◽  
Over Time

The economic analysis of regulation is a broad topic, with implications for environmental protection, communications and technology policy, public health, immigration, national security, and other areas affecting risk and welfare in society. This chapter covers only a portion of the relevant ground, focusing on the following essential topics: First, what do we mean by “economic analysis” and what do we mean by “regulation”? Second, why has this topic become an important one, not only the United States, but in most advanced democracies? Third, why is economic analysis and regulation a contested, even contentious, aspect of modern regulatory activity? Finally, and most important, how is economic analysis structured into regulatory decision-making, and how might existing arrangements evolve over time?

scholarly journals Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Margaret M. Padek ◽  
Stephanie Mazzucca ◽  
Peg Allen ◽  
Emily Rodriguez Weno ◽  
Edward Tsai ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Decision Making ◽  
Chronic Disease ◽  
Multinomial Logistic Regression ◽  
Public Health Practice ◽  
State Level ◽  
The United States ◽  
Organizational Level ◽  
Effective Programs

Abstract Background Much of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Methods A 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman’s correlation and multinomial logistic regression were used to assess factors in mis-implementation. Results Half (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40). Conclusion The data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.

scholarly journals Patterns and Correlates of Mis-implementation in State Chronic Disease Public Health Practice in the United States

2021 ◽  
Author(s):  
Margaret Padek ◽  
Stephanie Mazzucca ◽  
Peg Allen ◽  
Emily Rodriguez Weno ◽  
Edward Tsai ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Decision Making ◽  
Chronic Disease ◽  
Multinomial Logistic Regression ◽  
Public Health Practice ◽  
State Level ◽  
The United States ◽  
Organizational Level ◽  
Effective Programs

Abstract Background: Much of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Methods: A 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman’s correlation and multinomial logistic regression were used to assess factors in mis-implementation. Results: Half (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40). Conclusion: The data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.

The Right to Know, The Right to be Counted, The Right to Resist: Cancer, AIDS, and the Politics of Privacy and Surveillance in Post-War America

2015 ◽  
Vol 3 (1) ◽  
pp. 45-64
Author(s):  
Amy L. Fairchild
Keyword(s):  
Public Health ◽  
United States ◽  
National Security ◽  
The United States ◽  
Right To Know ◽  
Aids Epidemic ◽  
The Right To Know ◽  
The Face ◽  
Post War ◽  
The Right

The practice of public health begins with surveillance, the identification of individuals with disease. But while not all efforts to monitor morbidity and mortality entail formal notification of individual cases, the name-based reporting of individuals always involves a breach of privacy. The pitched battles over surveillance that marked the first two decades of the AIDS epidemic and, indeed, more recent global debates over the reach of the surveillance state in the name of national security might suggest a kind of timeless, furious battle on the part of those who would be subject to surveillance to defend a 'right to be left alone.' But just as often, indeed, perhaps more often, citizens have claimed a right to be counted, demanding surveillance in the face of unknown health threats. In either case, however, in the United States, regardless of whether communities pushed for or against disease reporting, marked citizen engagement has shaped the politics of surveillance since the 1970s. To be sure, privacy was always at stake. But so, too, were what activists conceived of as the right to be counted and the right to know.

scholarly journals The Demand For Community Supported Agriculture

2011 ◽  
Vol 4 (2) ◽  
Author(s):  
John M. Polimeni ◽  
Raluca Iorgulescu Polimeni ◽  
Richard L. Shirey ◽  
Christina L. Trees ◽  
W. Scott Trees
Keyword(s):  
United States ◽  
Economic Analysis ◽  
Direct Relationship ◽  
Theoretical Models ◽  
Production Method ◽  
The United States ◽  
Community Supported Agriculture ◽  
Font Size ◽  
The Subject ◽  
Over Time

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.6in 0pt 0.5in;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">Community Supported Agriculture (CSA) has undergone both a rapid increase in growth and interest over the last decade.<span style="mso-spacerun: yes;">&nbsp; </span>As such, the amount of literature on the subject has also increased.<span style="mso-spacerun: yes;">&nbsp; </span>However, there are few, if any, theoretical models of demand on CSA that have been developed from membership data. This paper uses both survey and anecdotal data of members of the Roxbury Biodynamic Farm, the second largest CSA in the United States, to present a theory of demand for CSA membership. Included in the discussion is consideration of the evidence that there is a direct relationship between production method and demand, usually a shibboleth in traditional economic analysis. Further exploration considers the possibility that over time participation influences the very nature of demand for CSA membership, and hypothesizes that this dynamic demand is a necessary but insufficient condition for the sustainability of CSA.</span></span></p>

scholarly journals Differential impact of non-pharmaceutical public health interventions on COVID-19 epidemics in the United States

2020 ◽  
Author(s):  
Xiaoshuang Liu ◽  
Xiao Xu ◽  
Guanqiao Li ◽  
Xian Xu ◽  
Yuyao Sun ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Decision Making ◽  
The United States ◽  
School Closure ◽  
Health Interventions ◽  
Public Health Interventions ◽  
Health Crisis ◽  
The Us ◽  
Individualized Decision

Abstract Background: The widespread pandemic of novel coronavirus disease 2019 (COVID-19) poses an unprecedented global health crisis. In the United States (US), different state governments have adopted various combinations of non-pharmaceutical public health interventions (NPIs), such as non-essential business closures and gathering bans, to mitigate the epidemic from February to April, 2020. Quantitative assessment on the effectiveness of NPIs is greatly needed to assist in guiding individualized decision making for adjustment of interventions in the US and around the world. However, the impacts of these approaches remain uncertain.Methods: Based on the reported cases, the effective reproduction number (Rt) of COVID-19 epidemic for 50 states in the US was estimated. Measurements on the effectiveness of nine different NPIs were conducted by assessing risk ratios (RRs) between R t and NPIs through a generalized linear model (GLM). Results: Different NPIs were found to have led to different levels of reduction in Rt. Stay-at-home contributed approximately 51% (95% CI 46%-57%), wearing (face) masks 29% (15%-42%), gathering ban (more than 10 people) 19% (14%-24%), non-essential business closure 16% (10%-21%), declaration of emergency 13% (8%-17%), interstate travel restriction 11% (5%-16%), school closure 10% (7%-14%), initial business closure 10% (6%-14%), and gathering ban (more than 50 people) 7% (2%-11%).Conclusions: This retrospective assessment of NPIs on Rt has shown that NPIs played critical roles on epidemic control in the US in the past several months. The quantitative results could guide individualized decision making for future adjustment of NPIs in the US and other countries for COVID-19 and other similar infectious diseases.

scholarly journals Differential impact of non-pharmaceutical public health interventions on COVID-19 epidemics in the United States

2020 ◽  
Author(s):  
Xiaoshuang Liu ◽  
Xiao Xu ◽  
Guanqiao Li ◽  
Xian Xu ◽  
Yuyao Sun ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Decision Making ◽  
The United States ◽  
School Closure ◽  
Health Interventions ◽  
Public Health Interventions ◽  
The Us ◽  
The Impact ◽  
Individualized Decision

Abstract The widespread pandemic of novel coronavirus disease 2019 (COVID-19) poses an unprecedented global health crisis. In the United States (US), different state governments have adopted various combinations of non-pharmaceutical public health interventions (NPIs) to mitigate the epidemic from February to April, 2020. Quantitative assessment on the effectiveness of NPIs is in great need to assist in guiding the individualized decision making for adjustment of interventions in the US and around the world. However, the impact of these approaches remain uncertain. Based on the reported cases, the effective reproduction number of COVID-19 epidemic for 50 states in the US was estimated. The measurement on the effectiveness of eight different NPIs was conducted by assessing risk ratios (RRs) between and NPIs through a generalized linear model (GLM). Different NPIs were found to have led to different levels of reduction in. Stay-at-home contributed approximately 51% (95% CI 46%-57%), gathering ban (more than 10 people) 19% (14%-24%), non-essential business closure 16% (10%-21%), declaration of emergency 13% (8%-17%), interstate travel restriction 11% (5%-16%), school closure 10% (7%-13%), initial business closure 10% (6%-14%), and gathering ban (more than 50 people) 6% (2%-11%). This retrospective assessment of NPIs on has shown that NPIs played critical roles on epidemic control in the US in the past several months. The quantitative results could guide individualized decision making for future adjustment of NPIs in the US and other countries for COVID-19 and other similar infectious diseases.

How many major US laws delegate to federal agencies? (almost) all of them

2021 ◽  
pp. 1-7
Author(s):  
Pamela J. Clouser McCann ◽  
Charles R. Shipan
Keyword(s):  
United States ◽  
Separation Of Powers ◽  
The United States ◽  
Federal Agencies ◽  
Regulatory Activity ◽  
Almost All ◽  
Over Time

Abstract Delegation is a well-known feature of policymaking in separation of powers systems. Yet despite the importance of this activity, there is little systematic evidence about how many major laws in the United States actually delegate policymaking authority to administrators in federal agencies. Using a database of agency regulatory activity along with text searches, we examine significant US federal enactments from 1947 to 2016 to see which of these laws delegate to agencies. We find that nearly all major laws—more than 99 percent—contain delegation. We also find that the number of agencies receiving delegation in each law has increased over time.

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