Understanding non-industrialized workers' approaches to safety: How do commercial fishermen “stay safe”?

BACKGROUND: Commercial fishing is carried out worldwide, often in non-industrialized forms, and is associated with high rates of fatal and non-fatal occupational injury. PROBLEM: Fishermen who work independently in non-industrialized settings do not have access to union or industry sponsored safety services and must make their own decisions about safety practices. Learning the meaning of safety for them and the safety measures they employ is important before developing interventions. METHODS: Two fieldworkers conducted in-depth ethnographic interviews with 31 commercial fishermen in North Carolina. Interviews and fieldnotes were analyzed using QSR N5. RESULTS: Fishermen primarily related staying safe to work practices and attitudes. They identified specific safety measures, appropriate gear and boat maintenance, weather decisions, and working cooperatively when ocean fishing. DISCUSSION: The ethnographic research process can produce information about a group's norms of preventive behavior and safety concerns. Knowledge of workers' concepts and practices will inform researchers' inquiries.     

Prediction of DOM removal of low specific UV absorbance surface waters using HPSEC combined with peak fitting

High performance size exclusion chromatography (HPSEC) is used in water quality research primarily to determine the molecular weight distribution of the dissolved organic matter (DOM), but by applying peak fitting to the chromatogram, this technique can also be used as a tool to model and predict DOM removal. Six low specific UV absorbance (SUVA) source waters were treated using coagulation with alum and both the source and treated water samples were analysed using HPSEC. By comparing the molecular weight profiles of the source and treated waters, it was established that several DOM components were not effectively removed by alum coagulation even after high dosage alum treatment. A peak-fitting technique was applied based on the concept of linking the character (molecular weight profile) of the recalcitrant organics in the treated water with those of the source water. This was then applied to predict DOM treatability by determining the areas of the peaks which were assigned to removable organics from the source water molecular weight profile after peak fitting, and this technique quantified the removable and non-removable organics. The prediction was compared with the actual dissolved organic carbon (DOC) removal determined from jar testing and showed good agreement, with variance between 2% and 10%. This confirmed that this prediction approach, which was originally developed for high SUVA waters, can also be applied successfully to predict DOC removal in low SUVA waters.     

Importance of data management in a long-term biological monitoring program

The long-term Biological Monitoring and Abatement Program (BMAP) has always needed to collect and retain high-quality data on which to base its assessments of ecological status of streams and their recovery after remediation. Its formal quality assurance, data processing, and data management components all contribute to meeting this need. The Quality Assurance Program comprehensively addresses requirements from various institutions, funders, and regulators, and includes a data management component. Centralized data management began a few years into the program when an existing relational database was adapted and extended to handle biological data. The database??s main data tables and several key reference tables are described. One of the most important related activities supporting long-term analyses was the establishing of standards for sampling site names, taxonomic identification, flagging, and other components. The implemented relational database supports the transmittal of data to the Oak Ridge Environmental Information System (OREIS) as the permanent repository. We also discuss some limitations to our implementation. Some types of program data were not easily accommodated in the central systems, and many possible data-sharing and integration options are not easily accessible to investigators. From our experience we offer data management advice to other biologically oriented long-term environmental sampling and analysis programs.     

USING A CHOICE MODELLING APPROACH FOR CUSTOMER SERVICE STANDARDS IN URBAN WATER1

ABSTRACT: A series of reforms in the water industry in Australia has created a demand from the industry and regulators for objective methodologies to evaluate incremental changes in the customer service standards. In this paper, the use of choice modeling for estimating implicit prices associated with urban water supply attributes is explored. Results from multinomial logit (MNL) and random parameters logit (RPL) models show that increases in annual water bills and the frequency of future interruptions were the most important attributes. Implicit price confidence intervals based on the best models suggest that people are willing to pay positive amounts to achieve a water supply that is less frequently interrupted. The provision of alternative water supplies during an interruption and notification of the interruption were found to be unimportant to respondents. Choice modeling proved to be a useful technique and provided the industry and regulators with additional information for standard setting.     

What is the real “price” of more prenatal screening and fewer diagnostic procedures? Costs and trade-offs in the genomic era

Any screening approach, including with cell-free DNA, will have an inferior detection rate compared with 100% diagnostic testing with chromosomal microarrays. Cell-free DNA-based screening, however, should not be seen as a threat to informed choice or maximising the benefits of diagnostic testing. Screening methods have become so much better that more women are now comfortable relying on such screening and do not need the certainty of a diagnostic test. This has not lead to a decline in detection of fetal chromosome abnormalities—in fact, we are now seeing historically high yields from prenatal screening. There are both economic and ethical consequences of offering universal diagnostic testing and abandoning the presumption of a normal infant in otherwise uncomplicated pregnancies. However, for some women, comprehensive information and diagnostic accuracy are important. Offering these women all options, with a careful and comprehensive explanation of the risks and benefits of each, results in outcomes that are best aligned with woman's preferences while at the same time requiring fewer diagnostic tests and lowering costs. It is one of the primary challenges of the modern era of prenatal testing to ensure that women receive sufficient information on which to make informed decisions.     

Access to prenatal exome sequencing for fetal malformations: A qualitative landscape analysis in the US

Objective

There is increasing evidence supporting the clinical utility of next generation sequencing for identifying fetal genetic disorders. However, there are limited data on the demand for and accessibility of these tests, as well as payer coverage in the prenatal context. We sought to identify clinician perspectives on the utility of prenatal exome sequencing (ES) and on equitable access to genomic technologies for the care of pregnancies complicated by fetal structural anomalies.

Method

We conducted two focus group discussions and six interviews with a total of 13 clinicians (11 genetic counselors; 2 Maternal Fetal Medicine/Geneticists) from U.S. academic centers and community clinics.

Results

Participants strongly supported ES for prenatal diagnostic testing in pregnancies with fetal structural anomalies. Participants emphasized the value of prenatal ES as an opportunity for a continuum of care before, during, and after a pregnancy, not solely as informing decisions about abortions. Cost and coverage of the test was the main access barrier, and research was the main pathway to access ES in academic centers.

Conclusion

Further integrating the perspectives of additional key stakeholders are important for understanding clinical utility, developing policies and practices to address access barriers, and assuring equitable provision of prenatal diagnostic testing.