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It is increasingly essential for medical researchers to be literate in statistics, but the requisite degree of literacy is not the same for every statistical competency in translational research. Statistical competency can range from ‘fundamental’ (necessary for all) to ‘specialized’ (necessary for only some). In this study, we determine the degree to which each competency is fundamental or specialized.
We surveyed members of 4 professional organizations, targeting doctorally trained biostatisticians and epidemiologists who taught statistics to medical research learners in the past 5 years. Respondents rated 24 educational competencies on a 5-point Likert scale anchored by ‘fundamental’ and ‘specialized.’
There were 112 responses. Nineteen of 24 competencies were fundamental. The competencies considered most fundamental were assessing sources of bias and variation (95%), recognizing one’s own limits with regard to statistics (93%), identifying the strengths, and limitations of study designs (93%). The least endorsed items were meta-analysis (34%) and stopping rules (18%).
We have identified the statistical competencies needed by all medical researchers. These competencies should be considered when designing statistical curricula for medical researchers and should inform which topics are taught in graduate programs and evidence-based medicine courses where learners need to read and understand the medical research literature.
We examined the intention to comply with mandatory hurricane evacuation orders among respondents living in coastal areas with pronounced poverty by demographic and location characteristics.
A 3-county door-to-door survey was conducted with 1 randomly selected resident per household. Households were selected using a 2-stage cluster sampling strategy and stratified by county. The final sample included 3088 households in 100 census tracts across 3 counties.
Findings suggest that the majority of residents living in areas prone to hurricanes intend to comply with mandatory evacuation orders regardless of income level. Variation in intention to comply with mandatory evacuation orders is shown by age, gender, ethnicity, education, acculturation, county, and distance from shoreline.
The demonstrated high intention to comply with evacuation orders in impoverished areas suggests a need for improved planning to evacuate the most vulnerable residents. Demographic and location characteristics associated with decreased intention to comply may be considered for targeting messages and education before disasters to modifying intentions and plans to evacuate. (Disaster Med Public Health Preparedness. 2013;7:46-54)
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