Few extensive, national clinical databases exist on the health of migrant and seasonal farmworkers (MSFWs). Electronic health records (EHRs) are increasingly utilized by Federally Qualified Health Centers (FQHCs) and have the potential to improve clinical care and complement current surveillance and epidemiologic studies of underserved working populations, such as MSFWs. The aim of this feasibility study was to describe the demographics and baseline clinical indicators of patients at an FQHC by MSFW status. We described 2012 patient demographics, social history, medical indicators, and diagnoses by MSFW status from the de-identified EHR database of a large, multi-site Colorado Migrant Health Center (MHC). Included in the study were 41,817 patients from 2012: 553(1.3%) MSFWs; 20,665(49.4%) non-MSFWs; and 20,599 (49.3%) who had no information in the MSFW field. MSFWs were more often male, married, employed, Hispanic, and Spanish-speaking compared to non-MSFWs. The most frequent diagnoses for all patients were hypertension, overweight/obesity, lipid disorder, type 2 diabetes, or a back disorder. Although there were significant missing values, this feasibility study was able to analyze medical data in a timely manner and show that Meaningful Use requirements can improve the usability of EHR data for epidemiologic research of MSFWs and other patients at FQHCs. The results of this study were consistent with current literature available for MSFWs. By reaching this vulnerable working population, EHRs may be a key data source for occupational injury and illness surveillance and research.

This respiratory disease outbreak was due to multiple pathogens, including Streptococcus pneumoniae serotype 5 and influenza viruses. Pneumococcal and influenza vaccinations prevented further transmission. Future efforts to prevent similar outbreaks will benefit from use of both vaccines.

Introduction Accurately identifying youth at highest risk of firearm violence involvement could permit delivery of focused, comprehensive prevention services. This study explored whether readily available city and state administrative data covering life events before youth firearm violence could elucidate patterns preceding such violence. Methods Four hundred twenty-one individuals arrested for homicide, attempted homicide, aggravated assault, or robbery with a firearm committed in Wilmington, Delaware, from January 1, 2009 to May 21, 2014, were matched 1:3 to 1,259 Wilmington resident controls on birth year and sex. In 2015, descriptive statistics and a conditional logistic regression model using Delaware healthcare, child welfare, juvenile services, labor, and education administrative data examined associations between preceding life events and subsequent firearm violence. Results In a multivariable adjusted model, experiencing a prior gunshot wound injury (AOR=11.4, 95% CI=2.7, 48.1) and being subject to community probation (AOR=13.2, 95% CI=5.7, 30.3) were associated with the highest risk of subsequent firearm violence perpetration, though multiple other sentinel events were informative. The mean number of sentinel events experienced by youth committing firearm violence was 13.0 versus 1.9 among controls (p<0.0001). Within the sample, 84.1% of youth experiencing a sentinel event in all five studied domains ultimately committed firearm violence. Conclusions Youth who commit firearm violence have preceding patterns of life events that markedly differ from youth not involved in firearm violence. This information is readily available from administrative data, demonstrating the potential of data sharing across city and state institutions to focus prevention strategies on those at greatest risk.