Clinician assessment of blood alcohol levels among emergency department patients.

INTRODUCTION: Alcohol intoxication is a significant public health concern and is commonly seen among emergency department (ED) patients. This study was undertaken to identify the accuracy of clinician assessment of blood alcohol levels among emergency department patients. METHODS: This prospective survey study was conducted at a Level 1 Trauma Center. Eligible study participants included physicians, nurses, and medical students involved in the care of patients who had BAC. Clinicians estimated the BAC prior to results availability. RESULTS: Among 243 clinicians, the mean difference between the estimated BAC and actual BAC was 17.4 (95% CI: 4.7 to 30.1). Providers tended to overestimate the actual BAC level. The accuracy between roles (attendings, residents, RNs, students) was not significant (ANOVA p-value 0.90). Accuracy was not correlated with age of the patient (Pearson correlation 0.04, p-value 0.54). Accuracy was not associated with the patient's gender (Student's t-test two-tailed p-value 0.90), ethnicity (White versus all others, t-test p-value 0.31), nor insurance (government versus not government, t-test p-value 0.81). The average accuracy value was associated with mode of arrival (t-test p-value 0.003). The average accuracy for walk-in subjects was -14.9 (CI: -32.8 to 3.1) compared to ambulance arrivals 28.3 (CI: 12.7 to 44.0). Providers underestimated BAC for walk-ins and overestimated BAC for ambulance arrivals. Among 107 patients with a BAC of 0, clinician estimates ranged from 0 to 350. Clinicians estimated non-zero BAC levels in 17% of patients with BAC of 0 (N = 18). CONCLUSIONS: Clinicians' estimates of BAC were often inaccurate, and often overestimated the BAC.

An assessment of the readability of online material related to fluoride.

Community water fluoridation has been deemed one of the greatest public health achievements, yet it remains a controversial topic. As those who are concerned about the benefits and safety of community water fluoridation are likely to turn to the Internet to find information, it is important to know the ease with which a person can read popular materials online. The aim of this study was to assess the readability levels of pro- and anti-fluoride articles on the Internet. Using a highly-recommended readability site, the first 100 articles garnered from websites in a Google were analyzed for a multitude of scores on popular readability tests. Of the 100 articles analyzed, 71 were deemed to be pro-fluoride, and 29 were anti-fluoride. Anti-fluoride materials were more readable across all scores when compared to the pro-fluoride materials. It is critical for consumers to be aware of the credibility of the health information they are reading and to be educated on how to determine if a website or source is reliable, especially when information is conflicting. It is also critical that health associations and other websites devoted to public health promotion develop and provide more accessible health information in terms of readability.

Spillover effects on health outcomes in low- and middle-income countries: a systematic review.

Background: Many interventions delivered to improve health may benefit not only direct recipients but also people in close physical or social proximity. Our objective was to review all published literature about the spillover effects of interventions on health outcomes in low-middle income countries and to identify methods used in estimating these effects. Methods: We searched 19 electronic databases for articles published before 2014 and hand-searched titles from 2010 to 2013 in five relevant journals. We adapted the Cochrane Collaboration's quality grading tool for spillover estimation and rated the quality of evidence. Results: A total of 54 studies met inclusion criteria. We found a wide range of terminology used to describe spillovers, a lack of standardization among spillover methods and poor reporting of spillovers in many studies. We identified three primary mechanisms of spillovers: reduced disease transmission, social proximity and substitution of resources within households. We found the strongest evidence for spillovers through reduced disease transmission, particularly vaccines and mass drug administration. In general, the proportion of a population receiving an intervention was associated with improved health. Most studies were of moderate or low quality. We found evidence of publication bias for certain spillover estimates but not for total or direct effects. To facilitate improved reporting and standardization in future studies, we developed a reporting checklist adapted from the CONSORT framework specific to reporting spillover effects. Conclusions: We found the strongest evidence for spillovers from vaccines and mass drug administration to control infectious disease. There was little high quality evidence of spillovers for other interventions.