Ethnic and religious perspectives on disability and the helping professions

This note looks at ethnic and religious perspectives of people who are training for and/or working in the helping professions in regard to their views of disability. The Modified Issues in Disabilities Scale (MIDS) was administered to a sample of people training for and/or working in the helping professions. A statistically significant association was found between ethnic and religious perspectives and scores on the MIDS.     

Retrospective Reporting of Household Wealth: Evidence From the 1983–1989 Survey of Consumer Finances

One way to obtain panel-like information on household wealth is to ask households about changes in their asset holdings. Yet the reliability of retrospective data is unclear, considering the potential for recall error. This article examines the reliability of retrospective reporting, using data from the 1983–1989 Survey of Consumer Finances. We find substantial inconsistencies between reported net investments in assets with measured changes in holdings. Inconsistencies are less severe for salient transactions like home sales and more severe for aggregated items like financial assets.     

Child outcome measures in the study of child care quality

This article assesses whether there are methodological problems with child outcome measures that may contribute to the small associations between child care quality and child outcomes found in the literature. Outcome measures used in 65 studies of child care quality published between 1979 and December 2005 were examined, taking the previous review by Vandell and Wolfe (2000) as the starting point. Serious methodological problems were not pervasive for child outcome measures. However, methodological concerns were most prevalent among measures of socioemotional development. Furthermore, psychometric information on outcome measures was often missing from published reports, and health outcomes and approaches to learning were infrequently studied. Future research should address alignment issues between aspects of quality and the specific child outcomes chosen for study.     

Leveraging risk assessment for foodborne outbreak investigations: The Quantitative Risk Assessment-Epidemic Curve Prediction Model

Root cause analysis can be used in foodborne illness outbreak investigations to determine the underlying causes of an outbreak and to help identify actions that could be taken to prevent future outbreaks. We developed a new tool, the Quantitative Risk Assessment-Epidemic Curve Prediction Model (QRA-EC), to assist with these goals and applied it to a case study to investigate and illustrate the utility of leveraging quantitative risk assessment to provide unique insights for foodborne illness outbreak root cause analysis. We used a 2019 Salmonella outbreak linked to melons as a case study to demonstrate the utility of this model (Centers for Disease Control and Prevention [CDC], 2019). The model was used to evaluate the impact of various root cause hypotheses (representing different contamination sources and food safety system failures in the melon supply chain) on the predicted number and timeline of illnesses. The predicted number of illnesses varied by contamination source and was strongly impacted by the prevalence and level of Salmonella contamination on the surface/inside of whole melons and inside contamination niches on equipment surfaces. The timeline of illnesses was most strongly impacted by equipment sanitation efficacy for contamination niches. Evaluations of a wide range of scenarios representing various potential root causes enabled us to identify which hypotheses, were likely to result in an outbreak of similar size and illness timeline to the 2019 Salmonella melon outbreak. The QRA-EC framework can be adapted to accommodate any food–pathogen pairs to provide insights for foodborne outbreak investigations.