Sentinel Events Preceding Youth Firearm Violence: An Investigation of Administrative Data in Delaware.

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.

Multistate Outbreak of Respiratory Infections Among Unaccompanied Children, June 2014-July 2014.

BACKGROUND: From January 2014-July 2014, more than 46 000 unaccompanied children (UC) from Central America crossed the US-Mexico border. In June-July, UC aged 9-17 years in 4 shelters and 1 processing center in 4 states were hospitalized with acute respiratory illness. We conducted a multistate investigation to interrupt disease transmission. METHODS: Medical charts were abstracted for hospitalized UC. Nonhospitalized UC with influenza-like illness were interviewed, and nasopharyngeal and oropharyngeal swabs were collected to detect respiratory pathogens. Nasopharyngeal swabs were used to assess pneumococcal colonization in symptomatic and asymptomatic UC. Pneumococcal blood isolates from hospitalized UC and nasopharyngeal isolates were characterized by serotyping and whole-genome sequencing. RESULTS: Among 15 hospitalized UC, 4 (44%) of 9 tested positive for influenza viruses, and 6 (43%) of 14 with blood cultures grew pneumococcus, all serotype 5. Among 48 nonhospitalized children with influenza-like illness, 1 or more respiratory pathogens were identified in 46 (96%). Among 774 nonhospitalized UC, 185 (24%) yielded pneumococcus, and 70 (38%) were serotype 5. UC transferring through the processing center were more likely to be colonized with serotype 5 (odds ratio, 3.8; 95% confidence interval, 2.1-6.9). Analysis of core pneumococcal genomes detected 2 related, yet independent, clusters. No pneumococcus cases were reported after pneumococcal and influenza immunization campaigns. CONCLUSIONS: 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.

The Feasibility of Using Electronic Health Records to Describe Demographic and Clinical Indicators of Migrant and Seasonal Farmworkers.

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. The authors described 2012 patient demographics, social history, medical indicators, and diagnoses by MSFW status from the de-identified EHR database of a large, multisite 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 with 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.

Coding of Central Cancer Registry Industry and Occupation Information: The Texas and Louisiana Experiences.

BACKGROUND: Usual industry and occupation text information have been collected by central cancer registries but few have had the resources to code these data, limiting their usefulness for assessing occupational cancer risks. STUDY AIMS: This project was undertaken to use software available from the National Institute for Occupational Safety and Health (NIOSH) to code industry and occupation information in cancer records reported to the Texas Cancer Registry (TCR) and the Louisiana Tumor Registry (LTR) and to assess the feasibility of its use in ongoing registry operations; to assess the quality of the reported information; and to determine its usefulness in occupational cancer research. METHODS: De-identified data files of TCR (n = 103,276) and LTR (n = 26,090) cancer records were obtained for diagnosis years 2010 and 2011, respectively, for cases aged 14 years and older, with industry and occupation text. These data fields were coded to the 2000 US Census Bureau using the NIOSH Industry and Occupation Computerized Coding System (NIOCCS) software at the high level confidence (90% or greater accuracy) and through manual code assignments for records not coded by NIOCCS. RESULTS: NIOCCS assigned a code for 37.2% of TCR records and 59.9% of LTR records. Examination of the quality of the coded data found 44.2% of TCR records and 31.1% of LTR records to have missing, unknown, or otherwise insufficient text for assigning a specific industry and occupation code. Additionally, the vague noninformative category of "retired" was reported for 14.9% and 11.2% of TCR and LTR records, respectively. Records with "homemaker/housewife" or those with terms indicating that they never worked represented 7.2% of TCR cases and 9.7% of LTR cases. Excluding the unknown, never worked, and retired categories, no one specific industry or occupation major grouping represented more than 5% of cases in either of the registries. CONCLUSION: NIOCCS is a helpful tool for coding industry and occupation text and continues to improve, but other registry resources are required for implementation into ongoing operations. Improvement in data quality of reported text information in cancer records is paramount to maximize the efficiency of NIOCCS and improve the availability of coded, specific industry and occupation information for occupational cancer research.

Community based research network: opportunities for coordination of care, public health surveillance, and farmworker research.

INTRODUCTION: The lack of aggregated longitudinal health data on farmworkers has severely limited opportunities to conduct research to improve their health status. To correct this problem, we have created the infrastructure necessary to develop and maintain a national Research Data Repository of migrant and seasonal farmworker patients and other community members receiving medical care from Community and Migrant Health Centers (C/MHCs). Project specific research databases can be easily extracted from this repository. METHODS: The Community Based Research Network (CBRN) has securely imported and merged electronic health records (EHRs) data from five geographically dispersed C/MHCs. To demonstrate the effectiveness of our data aggregation methodologies, we also conducted a small pilot study using clinical, laboratory and demographic data from the CBRN Data Repository from two initial C/MHCs to evaluate HbA1c management. RESULTS: Overall, there were 67,878 total patients (2,858 farmworkers) that were seen by two C/MHCs from January to August 2013. A total of 94,189 encounters were captured and all could be linked to a unique patient. HbA1c values decreased as the number of tests or intensity of testing increased. CONCLUSION: This project will inform the foundation for an expanding collection of C/MHC data for use by clinicians for medical care coordination, by clinics to assess quality of care, by public health agencies for surveillance, and by researchers under Institutional Review Board (IRB) oversight to advance understanding of the needs and capacity of the migrant and seasonal farmworker population and the health centers that serve them. Approved researchers can request data that constitute a Limited Data Set from the CBRN Data Repository to establish a specific research database for their project.

Notes from the field: hospitalizations for respiratory disease among unaccompanied children from Central America - multiple States, June-July 2014.

During October 2013-June 2014, approximately 54,000 unaccompanied children, mostly from the Central American countries of El Salvador, Guatemala, and Honduras, were identified attempting entry into the United States from Mexico, exceeding numbers reported in previous years. Once identified in the United States, U.S. Customs and Border Protection, an agency of the U.S. Department of Homeland Security, processes the unaccompanied children and transfers them to the Office of Refugee Resettlement (ORR), an office of the Administration for Children and Families, U.S. Department of Health and Human Services. ORR cares for the children in shelters until they can be released to a sponsor, typically a parent or relative, who can care for the child while their immigration case is processed. In June 2014, in response to the increased number of unaccompanied children, U.S. Customs and Border Protection expanded operations to accommodate children at a processing center in Nogales, Arizona. ORR, together with the U.S. Department of Defense, opened additional large temporary shelters for the children at Lackland Air Force Base, Texas; U.S. Army Garrison Ft. Sill, Oklahoma; and Naval Base Ventura County, California.

Occupational ladder fall injuries - United States, 2011.

Falls remain a leading cause of unintentional injury mortality nationwide [corrected].Among workers, approximately 20% of fall injuries involve ladders. Among construction workers, an estimated 81% of fall injuries treated in U.S. emergency departments (EDs) involve a ladder. To fully characterize fatal and nonfatal injuries associated with ladder falls among workers in the United States, CDC's National Institute for Occupational Safety and Health (NIOSH) analyzed data across multiple surveillance systems: 1) the Census of Fatal Occupational Injuries (CFOI), 2) the Survey of Occupational Injuries and Illnesses (SOII), and 3) the National Electronic Injury Surveillance System-occupational supplement (NEISS-Work). In 2011, work-related ladder fall injuries (LFIs) resulted in 113 fatalities (0.09 per 100,000 full-time equivalent [FTE] workers), an estimated 15,460 nonfatal injuries reported by employers that involved ≥1 days away from work (DAFW), and an estimated 34,000 nonfatal injuries treated in EDs. Rates for nonfatal, work-related, ED-treated LFIs were higher (2.6 per 10,000 FTE) than those for such injuries reported by employers (1.2 per 10,000 FTE). LFIs represent a substantial public health burden of preventable injuries for workers. Because falls are the leading cause of work-related injuries and deaths in construction, NIOSH, the Occupational Safety and Health Administration, and the Center for Construction Research and Training are promoting a national campaign to prevent workplace falls. NIOSH is also developing innovative technologies to complement safe ladder use.