The objectives of this study were to examine domestic food safety knowledge levels of consumers, establish the levels and incidence of bacterial contamination and operational temperatures in domestic refrigerators, and identify areas in which consumer food safety education is necessary in Ireland. A food safety knowledge questionnaire applied to a representative sample of households (n = 1,020) throughout the island of Ireland found the gaps in consumer food safety knowledge. Analysis of swab samples (n = 900) recovered from the domestic refrigerators in these households showed average total viable counts of 7.1 log CFU/cm2 and average total coliform counts of 4.0 log CFU/cm2. Analysis of swab samples also detected the incidence of Staphylococcus aureus (41%), Escherichia coli (6%), Salmonella enterica (7%), Listeria monocytogenes (6%), and Yersinia enterocolitica (2%). Campylobacter jejuni and E. coli O157:H7 were not detected in domestic refrigerators. The temperature profiles of a subset of the sampled refrigerators (100) were monitored for 72 h, and 59% were found to operate, on average, at temperatures above the recommended 5 degrees C. Knowledge and temperature survey results varied considerably, but consumers who scored better in terms of basic food safety knowledge had reduced levels of bacterial contamination in their refrigerators and reported a reduced incidence of food-associated illnesses. This study confirms the effect of basic food hygiene knowledge on hygienic practice and identifies specific areasfor emphasis in the development and delivery of effective food safety risk communication messages to consumers.
The authors estimated the validity of algorithms for identification of mental health conditions (MHCs) in administrative data for the 133 068 diabetic patients who used Veterans Health Administration (VHA) nationally in 1998 and responded to the 1999 Large Health Survey of Veteran Enrollees. They compared various algorithms for identification of MHCs from International Classification of Diseases, 9th Revision (ICD-9) codes with self-reported depression, posttraumatic stress disorder, or schizophrenia from the survey. Positive predictive value (PPV) and negative predictive value (NPV) for identification of MHC varied by algorithm (0.65-0.86, 0.68-0.77, respectively). PPV was optimized by requiring > or =2 instances of MHC ICD-9 codes or by only accepting codes from mental health visits. NPV was optimized by supplementing VHA data with Medicare data. Findings inform efforts to identify MHC in quality improvement programs that assess health care disparities. When using administrative data in mental health studies, researchers should consider the nature of their research question in choosing algorithms for MHC identification.
Stigma is integral to understanding mental health disparities among racial and ethnic minority groups in the United States. We conducted a systematic review to identify empirical studies on cultural aspects of mental illness stigma (public, structural, affiliative, self) among three racial and ethnic minority groups (Asian Americans, Black Americans, Latinx Americans) from 1990 to 2019, yielding 97 articles. In comparison studies (N = 25), racial and ethnic minority groups often expressed greater public and/or self‐stigma than White American groups. In within‐group studies (N = 65; Asian American, n = 21; Black American, n = 18; Latinx American; n = 26), which were primarily qualitative (73%), four major cultural themes emerged: 1) service barriers including access and quality (structural stigma); 2) family experiences including concealment for family’s sake, fear of being a burden, and stigma extending to family (affiliative stigma); 3) lack of knowledge about mental illness and specific cultural beliefs (public stigma); and 4) negative emotional responses and coping (self‐stigma). These findings confirmed stigma has both similar and unique cultural aspects across groups. Despite this, few studies tested stigma reduction interventions (N = 7). These cultural insights can inform contextual change at the health systems and community levels to reduce stigma, and empowerment at the interpersonal and individual levels to resist stigma.
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