scholarly journals Conceptual model of comprehensive research metrics for improved human health and environment

2009 ◽  
Vol 14 (2) ◽  
pp. 519-531 ◽  
Author(s):  
Jill Engel-Cox ◽  
Bennett Van Houten ◽  
Jerry Phelps ◽  
Shyanika Rose

Performance measurement predominantly consisted of near-term outputs measured through bibliometrics, but the recent focus is on accountability for investment based on long-term outcomes. Our objective is to build a logic model and associated metrics through which to measure the contribution of environmental health research programs to improvements in human health, the environment, and the economy. We developed a logic model that defines the components and linkages between extramural environmental health research grant programs and the outputs and outcomes related to health and social welfare, environmental quality and sustainability, economics, and quality of life, focusing on the environmental health research portfolio of the National Institute of Environmental Health Sciences (NIEHS) Division of Extramural Research and Training and delineates pathways for contributions by five types of institutional partners in the research process. The model is being applied to specific NIEHS research applications and the broader research community. We briefly discuss two examples and discuss the strengths and limits of outcome- based evaluation of research programs.

Author(s):  
Julie A. Baldwin ◽  
Robert T. Trotter ◽  
Mark Remiker ◽  
C. Loren Buck ◽  
Amanda Aguirre ◽  
...  

Author(s):  
Dany Doiron ◽  
Eleanor Setton ◽  
Evan Seed ◽  
Mahdi Shooshtari ◽  
Jeffrey Brook

IntroductionHealth and environmental exposure databases are generally siloed in different research institutions across Canada and integrating them for environmental health research is a considerable challenge. Facilitating the linkage of these databases is essential to provide new analytical opportunities and help create efficiencies for research on environmental determinants of health. Objectives and ApproachCANUE is a Canadian Institutes of Health Research-funded platform for supporting environmental health research. CANUE collates and generates standardized environmental data on air and noise pollution, land use, green/natural spaces, climate change/extreme weather, and socioeconomic conditions for every postal code in Canada and makes them freely available to researchers. Systems and procedures are being developed by CANUE to facilitate the sharing and integration of these extensive geospatial exposures with existing observational cohorts and administrative health databases across Canada. This linkage will enable investigators to test hypotheses on the interdependent associations of environmental features with health impacts or benefits. ResultsCANUE now hosts a dozen national exposure databases and related metadata files, and actively adds new regional and national datasets. Streamlined processes for data sharing have been developed to facilitate easy merging with health data. Substantial consultation has also taken place with a wide range of health data holders to establish appropriate processes for receiving and managing environmental data, with particular focus on addressing challenges presented by differing ethics, consent and confidentiality requirements. These processes help accelerate the research process by making analysis-ready data available to investigators, create opportunities to study how multiple environmental factors are linked to a wide range of health outcomes, and generally increase the use of health and population databases for environmental health research. Conclusion/ImplicationsThe CANUE collaborative model illustrates how the production of policy-relevant evidence can be advanced through better coordination among environmental health researchers and linkage with health databases. CANUE is improving the scientific potential and cost-effectiveness of research in environmental epidemiology through streamlining linkage and access to standardized exposure datasets.


1993 ◽  
Vol 9 (5) ◽  
pp. 685-727 ◽  
Author(s):  
Ken Sexton ◽  
Kenneth Olden ◽  
Barry L. Johnson

Although much of the evidence is anecdotal and circumstantial, there are mounting concerns that environmental health risks are borne disproportionately by members of the population who are poor and nonwhite. We examine the central role of environmental health research in defining the dimensions of the problem, understanding its causes, and identifying solutions. Environmental health sciences, including epidemiology, exposure analysis, pharmacokinetics, toxicology, and surveillance monitoring, must be employed to determine the extent to which society has achieved “equity” and “justice” in safeguarding the health and safety of its citizens. By improving our ability to identify, evaluate, prevent, and/or reduce risks for all members of society, environmental health research can contribute directly to fair and equitable protection for everyone, regardless of age, ethnicity, gender, race, or socioeconomic status.


Author(s):  
David B. Resnik

This chapter discusses some of the key ethical issues that arise in environmental health research involving human subjects, including returning individualized research results, protecting privacy and confidentiality, research on environmental interventions, intentional exposure studies, research regulations, autonomy, beneficence, informed consent, payments to subjects, and protecting vulnerable human subjects. The chapter will discuss issues that are common to all research designs, as well as those unique to certain types of designs, such as intentional exposure studies. It will also address ethical issues that arose in two important cases, the Kennedy Krieger Institute lead abatement study, and the Children’s Environmental Exposure Research Study.


2012 ◽  
Vol 120 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Martine Vrijheid ◽  
Maribel Casas ◽  
Anna Bergström ◽  
Amanda Carmichael ◽  
Sylvaine Cordier ◽  
...  

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Samantha Hajna ◽  
Nancy A. Ross ◽  
Simon J. Griffin ◽  
Kaberi Dasgupta

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