Is an Ounce of Prevention Worth a Pound of Cure? Comparing Demand for Public Prevention and Treatment Policies

2010 ◽  
Vol 30 (4) ◽  
pp. E40-E56 ◽  
Author(s):  
Ryan Bosworth ◽  
Trudy Ann Cameron ◽  
J.R. DeShazo
Keyword(s):  
Public Health ◽  
Individual Characteristics ◽  
Health Policies ◽  
Significant Heterogeneity ◽  
Major Health ◽  
Public Health Policies ◽  
Prevention Policies ◽  
Treatment And Prevention ◽  
Health Threats ◽  
Treatment Policies

Background. Public policy can affect the allocation of resources between programs designed to prevent illnesses or injuries and programs designed to treat those who are already sick or injured. Information about preferences for treatment and prevention policies can help policy makers more effectively allocate public health resources among alternative uses. Our objective is to assess preferences for publicly funded health policies designed to prevent or treat major health threats. We use national surveys that employ discrete choice experiment formats. The surveys allow respondents to make trade-offs between policies designed to prevent or treat most major health threats. The surveys were administered to a nationally representative sample of over 3000 respondents. Methods. We estimate a random utility model of preferences for treatment and prevention policies and explore sources of systematic heterogeneity in preferences. Results. We estimate marginal utility associated with avoided deaths to be about twice as high for prevention policies as for treatment policies and find statistically significant heterogeneity with respect to disease type, the group targeted by the policy, and respondent characteristics. Conclusions. Preferences for public health policies vary markedly with policy attributes and with individual characteristics. Benefits measurements for welfare assessments of public health policies should be tailored to the type of health threat and the characteristics of the affected population.

scholarly journals ‘Health in All Policies’ and the Urge for Coordination: The Work of Public Health Coordinators and Their Impact and Influence in Local Public Health Policies: A Cross-Sectional Study

Societies ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 11
Author(s):  
Tor-Ivar Karlsen ◽  
Charlotte Kiland ◽  
Gro Kvåle ◽  
Dag Olaf Torjesen
Keyword(s):  
Public Health ◽  
Structural Equation ◽  
Social Inequalities ◽  
Individual Characteristics ◽  
Health Policies ◽  
Policy Outcomes ◽  
Health In All Policies ◽  
Local Public Health ◽  
Public Health Policies ◽  
Organisational Factors

Building heavily on the Health in All Policies (HiAP) approach, Norway implemented the Public Health Act in 2012 to reduce social inequalities in health. Local public health coordinators (PHCs) at municipal levels were seen as tools to provide local intersectoral public health work. In this study, we examine factors related to intersectoral agency and if intersectoral work is understood as relevant to securing social justice in local policy outcomes. A national web-based survey in 2019 of all Norwegian PHCs (n = 428) was conducted with a response rate of 60%. Data were analysed through multiple linear regression, hierarchical regression modelling and structural equation modelling. Neither factors relating to community contexts nor individual characteristics were associated with intersectoral agency. Organisational factors, especially position size, being organised at the top level and having a job description, were significantly associated with perceptions of intersectoral agency. PHCs seeing themselves as intersectoral agents also found themselves able to affect annual budgets and policy outcomes. We conclude that municipal PHC positions can be important HiAP tools in local public health policies. However, organisational factors affect how PHCs perceive their influence and role in the municipal organisation and thereby their possibilities to influence local policymaking through intersectoral agency.

scholarly journals Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning

JAMIA Open ◽  
2021 ◽  
Author(s):  
Bo Peng ◽  
Rowland W Pettit ◽  
Christopher I Amos
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Emergency Response ◽  
Robustness Analysis ◽  
Health Policies ◽  
Command Line ◽  
Public Health Policies ◽  
Continuity Planning ◽  
Quantitative Estimates ◽  
Community Infection

Abstract Objectives We developed COVID-19 Outbreak Simulator (https://ictr.github.io/covid19-outbreak-simulator/) to quantitatively estimate the effectiveness of preventative and interventive measures to prevent and battle COVID-19 outbreaks for specific populations. Materials and methods Our simulator simulates the entire course of infection and transmission of the virus among individuals in heterogeneous populations, subject to operations and influences, such as quarantine, testing, social distancing, and community infection. It provides command-line and Jupyter notebook interfaces and a plugin system for user-defined operations. Results The simulator provides quantitative estimates for COVID-19 outbreaks in a variety of scenarios and assists the development of public health policies, risk-reduction operations, and emergency response plans. Discussion Our simulator is powerful, flexible, and customizable, although successful applications require realistic estimation and robustness analysis of population-specific parameters. Conclusion Risk assessment and continuity planning for COVID-19 outbreaks are crucial for the continued operation of many organizations. Our simulator will be continuously expanded to meet this need.

scholarly journals Characterization of death from colorectal cancer in Mato Grosso State/Legal Amazon/Brazil, 2000-2016

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R S Caló ◽  
B S N Souza ◽  
N D Galvão ◽  
R A G Souza ◽  
J C S Oliveira ◽  
...  
Keyword(s):  
Public Health ◽  
Colorectal Cancer ◽  
International Classification Of Diseases ◽  
Health Policies ◽  
Rectosigmoid Junction ◽  
Mato Grosso ◽  
Public Health Policies ◽  
Goods And Services ◽  
Classification Of Diseases ◽  
Using Data

Abstract Background Colorectal cancer has been one of the cancers that most contributed to mortality, in both sexes in the world. In Brazil, cancer is among the top five causes of death and colorectal cancer is ranked on the fifth position. Of the Federative Units belonging to the Legal Amazon, Mato Grosso stands out for the higher adjusted incidence of colorectal cancer for both sexes. Thus, the objective is to characterize deaths from colorectal cancer, according to sociodemographic variables in Mato Grosso from 2000 to 2016. Methods A descriptive study was carried out, using data from the Mortality Information System, made available by the Department of Health of the Mato Grosso State. Deaths of all ages were selected, whose basic cause was identified by the codes from the International Classification of Diseases: (C.18) colon cancer, (C.19) rectosigmoid junction cancer, (C.20) rectal cancer or (C.21) anus cancer. Results Between 2000 and 2016, 31,607 deaths from cancer were registered. Of these, 1,750 (5.6%) were due to colorectal cancer. An increased number of deaths was observed at the end of the period, with a variation from 46 deaths in 2000 from 173 in 2016. Highest frequency was verified in men (51.3%), people aged 60 years or older (59.7%), black (54.6%), married (52.3%) and those with primary education (55.2%). According to Brazilian occupation classification options or those answers filled out on the death certificate, highest frequency were for “Retired” (26.2%), “Housewife” (23.1%), Agricultural/Forestry and Fisheries” (11.3%) and “Production of Industrial Goods and Services” (10.3%). Conclusions This study evidenced the increased number of deaths due to colorectal cancer in Mato Grosso State, and identified priority groups for interventions through public health policies which should include screening and early diagnosis to cope with the disease. Key messages Evidenced the increased number of deaths due to colorectal cancer in Mato Grosso State. Identified priority groups for interventions through public health policies.

Epidemiological surveillance and performance assessment: the two roles of health indicators during the COVID-19 pandemic

2021 ◽  
Vol 17 (2) ◽  
pp. 186-203
Author(s):  
Nathan Genicot
Keyword(s):  
Public Health ◽  
Performance Assessment ◽  
Health Indicators ◽  
Health Policies ◽  
Epidemiological Surveillance ◽  
Public Health Policies ◽  
History Of ◽  
And Performance ◽  
The One ◽  
Massive Development

AbstractThe COVID-19 pandemic has given rise to the massive development and use of health indicators. Drawing on the history of international public health and of the management of infectious disease, this paper attempts to show that the normative power acquired by metrics during the pandemic can be understood in light of two rationales: epidemiological surveillance and performance assessment. On the one hand, indicators are established to evaluate and rank countries’ responses to the outbreak; on the other, the evolution of indicators has a direct influence on the content of public health policies. Although quantitative data are an absolute necessity for coping with such disasters, it is critical to bear in mind the inherent partiality and precarity of the information provided by health indicators. Given the growing importance of normative quantitative devices during the pandemic, and assuming that their influence is unlikely to decrease in the future, they call for close scrutiny.

The effects of public health policies on health inequalities: a review of reviews

The Lancet ◽  
2017 ◽  
Vol 390 ◽  
pp. S12 ◽  
Author(s):  
Katie Thomson ◽  
Frances Hillier-Brown ◽  
Adam Todd ◽  
Courtney McNamara ◽  
Tim Huijits ◽  
...  
Keyword(s):  
Public Health ◽  
Health Inequalities ◽  
Health Policies ◽  
Public Health Policies ◽  
Review Of Reviews
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