Relationship between Civilian Injuries Caused during Contact with Law Enforcement and Community-Level Sociodemographic Characteristics.

Civilian injuries caused during contact with law enforcement personnel erode community trust in policing, impact individual well-being, and exacerbate existing health inequities. We assessed the relationship between ZIP code-level rates of civilian injuries caused during legal interventions and community-level sociodemographic characteristics using Illinois hospital data from 2016 to 2022. We developed multivariable Poisson regression models to examine whether legal intervention injury rates differed by race-ethnicity and community economic disadvantage across three geographic regions of Illinois representing different levels of urbanization. Over the study period, 4976 civilian injuries were treated in Illinois hospitals (rate of 5.6 per 100,000 residents). Compared to non-Hispanic white residents, non-Hispanic Black residents demonstrated 5.5-10.5 times higher injury rates across the three geographic regions, and Hispanic-Latino residents demonstrated higher rates in Chicago and suburban Cook County, but lower rates in the rest of the state. In most regions, models showed that as the percent of minority residents in a ZIP code increased, injury rates among non-Hispanic Black and Hispanic-Latino residents decreased. As community economic disadvantage increased at the ZIP code level, civilian injury rates increased. Communities with the highest injury rates involving non-Hispanic white residents were significantly more economically unequal and disadvantaged. While the injury rates were consistently and substantially higher among non-Hispanic Black residents throughout the state, the findings illustrate that the association between overall civilian injuries caused during contact with law enforcement and community sociodemographic characteristics varied across regions. Data on local law enforcement agency policies and procedures are needed to better identify appropriate interventions.

Thin seams and small mines are associated with higher exposures to respirable crystalline silica in US underground coal mines.

OBJECTIVES: Previous radiologic and histopathologic studies suggest respirable crystalline silica (RCS) overexposure has been driving the resurgence of pneumoconiosis among contemporary US coal miners, with a higher prevalence of severe disease in Central Appalachia. We sought to better understand RCS exposure among US underground coal miners. METHODS: We analysed RCS levels, as measured by respirable quartz, from coal mine dust compliance data from 1982 to 2021. RESULTS: We analysed 322 919 respirable quartz samples from 5064 US underground coal mines. Mean mine-level respirable quartz percentage and mass concentrations were consistently higher for Central Appalachian mines than the rest of the USA. Mean mine-level respirable quartz mass concentrations decreased significantly over time, from 0.116 mg/m3 in 1982 to as low as 0.017 mg/m3 for Central Appalachian mines, and from 0.089 mg/m3 in 1983 to 0.015 mg/m3 in 2020 for the rest of the USA. Smaller mine size, location in Central Appalachia, lack of mine safety committee and thinner coal seams were predictive of higher respirable quartz mass concentrations. CONCLUSIONS: These data substantially support the association between RCS overexposure and the resurgence of coal workers' pneumoconiosis in the USA, particularly in smaller mines in Central Appalachia.

Measuring lung diffusing capacity: an opportunity for improved medical surveillance and disability evaluation of coal miners.

OBJECTIVES: Spirometry is the primary lung function test utilised for medical surveillance and disability examination for coal mine dust lung disease. However, spirometry likely underestimates physiologic impairment. We sought to characterise abnormalities of single-breath diffusing capacity for carbon monoxide (DLCO) among a population of former coal miners. METHODS: Data from 3115 former coal miners evaluated at a West Virginia black lung clinic between 2006 and 2015 were retrospectively analysed to study the association between diffusion impairment (abnormally low DLCO), resting spirometry and the presence and severity of coal workers' pneumoconiosis on chest radiography. We developed ordinary least squares linear regression models to evaluate factors associated with per cent predicted DLCO (DLCOpp). RESULTS: Diffusion impairment was identified in 20.2% of subjects. Ten per cent of all miners with normal spirometry had diffusion impairment including 7.4% of never smokers. The prevalence of diffusion impairment increased with worsening radiographic category of pneumoconiosis. Mean DLCOpp decreased with increasing small opacity profusion subcategory in miners without progressive massive fibrosis. Linear regression analysis also showed significant decreases in DLCOpp with increasing small opacity profusion and presence of large opacities. CONCLUSIONS: Diffusion impairment is common among former coal miners, including among never smokers, miners without radiographic pneumoconiosis and miners with normal spirometry. These findings demonstrate the value of including DLCO testing in disability examinations of former coal miners and an important role for its use in medical surveillance of working miners to detect early chronic lung disease.

Risk factors associated with indicators of dehydration among migrant farmworkers.

OBJECTIVE: Farmworkers are at increased risk of adverse health outcomes related to occupational heat exposure and inadequate access to water, shade, or rest breaks. Presently, there is a dearth of studies examining the prevalence of dehydration and related factors in U.S. farmworkers. Our objectives were to characterize hydration status during typical workdays and to identify risk factors associated with increased dehydration in migrant farmworkers employed in Florida. METHODS: Urine samples were collected and analyzed for urine specific gravity (USG) 2-3 times per person per day over five days in May 2021 and 2022. Data collection included demographic characteristics, wet-bulb-globe-temperature (WBGT), and information on working conditions (task type, duration, and crop units harvested), fluid intake, clothing worn, and heat safety behaviors. Multivariable mixed regression models were used to evaluate risk factors associated with change in USG levels (continuous) during a work shift. RESULTS: A total of 111 farmworkers participated in this study providing 1020 cumulative USG measurements, of which 96.8% of end-of-shift USG samples were above 1.020 indicating potential dehydration. In multivariable models, dehydration assessed using change in USG levels significantly declined with age (ß = -0.078; 95%CI: 0.150, -0.006) but showed significant increase with body mass index (ß = 0.016; 95%CI: 0.003, 0.028), WGBT (ß = 0.054; 95%CI:0.044, 0.064), mean shift duration, and state of primary residence. We did not find significant associations of dehydration with type of clothing worn, intake of employer-provided water, or crop units harvested during a shift in this sample of farmworkers. CONCLUSION: Our findings underscore the need for additional research to evaluate adverse outcomes related to dehydration and to better understand recovery patterns from chronic dehydration across workweeks and harvest seasons in migrant farmworkers.

Description of Opioid-involved Hospital Deaths that Do Not Have a Subsequent Autopsy.

BACKGROUND: Surveillance systems rely on death records to monitor the most severe outcome of the opioid epidemic. However, few studies have linked data from hospital systems with death records to determine potential undercount of opioid-involved deaths occurring in hospitals. This study describes characteristics of decedents less likely to have an autopsy following an opioid-involved death in hospitals and estimates the resulting undercount. METHODS: A probabilistic data linkage of hospital and medical examiner data involving 4,936 opioid-involved deaths among residents of Cook County, Illinois, US from 2016 to 2019. We included only hospital deaths that met a national case definition and presented with clinical signs of opioid overdose. RESULTS: Decedents had higher odds of not having an autopsy if they were 50+ years, admitted to the hospital (aOR = 3.7: 2.1, 6.5), hospitalized for 4+ days (aOR = 2.2: 1.5, 3.1), and had a comorbid diagnosis of malignant cancer (aOR = 4.3: 1.8, 10.1). However, decedents exposed to heroin and synthetic opioids (aOR = 0.39: 0.28, 0.55), and concurrent exposure to stimulants (aOR = 0.44: 0.31, 0.64) were more likely to have an autopsy). Compared to estimates from the US Centers for Disease Control and Prevention (CDC), we observed undercounts of opioid overdose deaths ranging from 6% to 15%. CONCLUSIONS: Surveillance systems may undercount decedents that do not meet the typical profile of those more likely to have an autopsy, particularly older patients with chronic health conditions. Our undercount estimate likely exists in addition to the estimated 20%-40% undercount reported elsewhere. See video abstract at, http://links.lww.com/EDE/B990 .

Poor adherence to dust, noise and safety regulations predict injury rates in underground coal mines.

BACKGROUND: While safety in US coal mining has improved over the past two decades, general occupational health research shows that risk of injury varies across individual worksites and is influenced by worksite safety cultures and practices. METHODS: In this longitudinal study, we evaluated whether mine-level characteristics reflecting poor adherence to health and safety regulations in underground coal mines are associated with higher acute injury rates. We aggregated Mine Safety and Health Administration (MSHA) data by year for each underground coal mine for the period 2000-2019. Data included part-50 injuries, mine characteristics, employment and production, dust sampling, noise sampling, and violations. Multivariable hierarchical generalised estimating equations (GEE) models were developed. RESULTS: Based on the final GEE model, despite an average annual decline in injury rates by 5.5%, the following indicators of inadequate adherence to health and safety regulations were associated with increased average annual injury rates: +2.9% for each 10% increase in dust samples exceeding the permissible exposure limit; +0.6% for each 10% increase of permitted 90 dBA 8-hour noise exposure dose; +2.0% for every 10 substantial-significant MSHA violations in a year; +1.8% for each rescue/recovery procedure violation; +2.6% for each safeguard violation. If a fatality occurred in a mine, injury rates increased by 11.9% in the same year, but declined by 10.4% in the following year. The presence of safety committees was associated with a 14.5% decline in injury rates. DISCUSSION: In US underground coal mines, injury rates are associated with poor adherence to dust, noise and safety regulations.

Increased odds of mortality from non-malignant respiratory disease and lung cancer are highest among US coal miners born after 1939.

OBJECTIVES: Coal miners suffer increased mortality from non-malignant respiratory diseases (NMRD), including pneumoconioses and chronic obstructive pulmonary disease, compared with the US population. We characterised mortality trends from NMRD, lung cancer and ischaemic heart disease (IHD) using data from the Federal Black Lung Program, National Coal Workers' Health Surveillance Program and the National Death Index. METHODS: We compared mortality ORs (MORs) for NMRD, lung cancer and IHD in former US coal miners to US white males. MORs were computed for the study period 1979-2017 by birth cohort (<1920, 1920-1929, 1930-1939, ≥1940), with a subanalysis restricted to Central Appalachia. RESULTS: The study population totalled 235 550 deceased miners, aged >45 years. Odds of death from NMRD and lung cancer across all miner birth cohorts averaged twice those of US males. In Central Appalachia, MORs significantly increased across birth cohorts. There was an eightfold increase in odds of death from NMRD among miners born after 1940 (MORBC≥1940 8.25; 95% CI 7.67 to 8.87). Miners with progressive massive fibrosis (PMF) were younger at death than those without PMF (74 vs 78 years; p<0.0001). We observed a pattern of reduced MORs from IHD in coal miners compared with national and regional counterparts. CONCLUSION: US coal miners have excess mortality from NMRD and lung cancer compared with total US and Appalachian populations. Mortality is highest in the most recent birth cohorts, perhaps reflecting increased rates of severe pneumoconiosis.

Prevalence and severity of abnormal lung function among US former coal miners with and without radiographic coal workers' pneumoconiosis.

OBJECTIVES: Examination of lung function abnormalities among coal miners has historically focused on actively working miners. This likely underestimates the true burden of chronic respiratory disease. The objective of this study was to characterise patterns and severity of lung function impairment among a population of former coal miners. METHODS: Cross-sectional data from 2568 former coal miners evaluated at eight US Black Lung clinics in a 12-month period were retrospectively analysed for patterns of prebronchodilator spirometric abnormality and severity of lung function impairment. Spirometry data from a subset of former miners with chest radiographs were analysed based on the presence and severity of coal workers' pneumoconiosis (CWP). RESULTS: Abnormal spirometry was identified in 56.6% of subjects. The age-standardised prevalence of airflow obstruction among miners aged ≥45 years was 18.9% overall and 12.2% among never smokers. Among 1624 subjects who underwent chest radiography, the prevalence and severity of abnormal spirometry increased with worsening radiographic category for pneumoconiosis. Of never-smoking former miners without radiographic CWP, 39.0% had abnormal spirometry; 25.1% had abnormally low forced expiratory volume in 1 s (FEV1), and 17.1% had moderate to severe FEV1 impairment. CONCLUSIONS: Abnormal spirometry is common among former coal miners. While ever-smoking former miners had higher rates of airflow obstruction, never-smoking former miners also demonstrated clinically significant airflow obstruction, including those without radiographic pneumoconiosis. These findings demonstrate the importance of recognising physiological as well as imaging manifestations of coal mine dust lung diseases in former miners.

Comparison of health outcomes from heat-related injuries by National Weather Service reported heat wave days and non-heat wave days - Illinois, 2013-2019.

It is predicted that heat waves will increase as climate changes. Related public health interventions have expanded over the past decades but are primarily targeted at health outcomes occurring during heat waves. However, heat adaptation is dynamic and adverse outcomes related to heat injuries occur with moderate increases in temperature throughout the summertime. We analyzed outpatient and inpatient heat related injuries from 2013 to 2019. National Weather Service event summaries were used to characterize reported heat wave days and weather data was linked to individual cases. Despite the higher rate of heat injury on heat wave days, only 12.7% of the 17,662 heat-related injuries diagnosed from 2013 to 2019 occurred during reported heat waves. In addition, the National Weather Service surveillance system monitoring heat related injuries only captured 2.1% of all heat related injuries and 30.6% of heat related deaths. As climate changes and warmer conditions become more common, public health response to moderate increases in temperature during summertime needs to be strengthened as do the surveillance systems used to monitor adverse heat related health events. Improved surveillance systems, long-term interventions and strategies addressing climate change may help mitigate adverse health outcomes attributable to heat related injuries over the summertime.

Health Care Utilization of Individuals Affected by Homelessness: Illinois, 2011-2018.

OBJECTIVES: To describe individuals coded as homeless in state-level data comprising of outpatient and inpatient cases over a multi-year period to provide public health surveillance data on the health care utilization and needs of this population. RESEARCH DESIGN: In this cross-sectional study, outpatient and inpatient visits coded for homelessness were identified from the Illinois Hospital Discharge Database from January 1, 2011 through December 31, 2018. Demographic characteristics, primary diagnosis and comorbid conditions, and hospital course of treatment were described. Predictors of discharge to a health care facility versus routine discharge to home or self-care were evaluated using multivariable logistic regression. RESULTS: There were 154,173 patient visits predominantly involving males, those aged 25-64 years, and non-Hispanic Whites and African Americans. The majority had comorbidities of depression, psychosis, and/or substance abuse (70.2%) and a routine discharge to home or self-care (81.9%). Discharge to home or self-care relative to another health care institution was associated with having charity coverage and being Black/African American. CONCLUSIONS: Those experiencing homelessness experience a high burden of health concerns. Hospital billing records can be used to prioritize the distribution of limited public health resources for health care programs and interventions among those experiencing homelessness.

Comparison of State Hospital Visits With Housing and Urban Development Estimates of Homeless: Illinois, 2011-2018.

Objectives. To assess the value of hospital records in augmenting information on homelessness counts at a state level.Methods. We used data from the Illinois Hospital Discharge Database (2011-2018) to identify outpatients and inpatients identified as affected by homelessness. We used probabilistic linkage methodology to estimate unique individuals rather than visits and compared them with US Department of Housing and Urban Development annual estimates of homelessness based on point-in-time counts.Results. Department of Housing and Urban Development point-in-time estimates indicate a substantial decline of approximately 24% in homelessness in Illinois; however, estimates of unique individuals visiting the hospital with a code for homelessness more than doubled in this same period.Conclusions. Other data sources, such as hospital records, are increasingly able to identify and report information related to homelessness. Using these additional data sources may help to augment the Department of Housing and Urban Development point-in-time estimates to provide more accurate estimates of homelessness that are used to direct resources and assess policy and support services for those affected by homelessness.

Progression of coal workers' pneumoconiosis absent further exposure.

OBJECTIVES: The natural history of coal workers' pneumoconiosis (CWP) after cessation of exposure remains poorly understood. METHODS: We characterised the development of and progression to radiographic progressive massive fibrosis (PMF) among former US coal miners who applied for US federal benefits at least two times between 1 January 2000 and 31 December 2013. International Labour Office classifications of chest radiographs (CXRs) were used to determine initial and subsequent disease severity. Multivariable logistic regression models were used to identify major predictors of disease progression. RESULTS: A total of 3351 former miners applying for benefits without evidence of PMF at the time of their initial evaluation had subsequent CXRs. On average, these miners were 59.7 years of age and had 22 years of coal mine employment. At the time of their first CXR, 46.7% of miners had evidence of simple CWP. At the time of their last CXR, 111 miners (3.3%) had radiographic evidence of PMF. Nearly half of all miners who progressed to PMF did so in 5 years or less. Main predictors of progression included younger age and severity of simple CWP at the time of initial CXR. CONCLUSIONS: This study provides further evidence that radiographic CWP may develop and/or progress absent further exposure, even among miners with no evidence of radiographic pneumoconiosis after leaving the industry. Former miners should undergo regular medical surveillance because of the risk for disease progression.

Clinical outcomes of temperature related injuries treated in the hospital setting, 2011-2018.

BACKGROUND: Concerns over climate change have prompted substantial interest in temperature related injuries resulting from extreme weather conditions. Climate models predict that as global temperatures increase, the frequency and severity of extreme heat and cold weather events will grow which will likely increase the incidence of temperature related injury. The aim of this study was to analyze the healthcare impacts of temperature related injuries in the state of Illinois in order to serve as a model to guide future public health policy. METHODS: Outpatient and inpatient heat and cold related injuries treated in Illinois hospitals from 2011 to 2018 were analyzed. Weather data was linked to individual cases. RESULTS: The crude annual total hospital utilization incidence rate for heat injuries was 23.6 per 100,000 residents compared to 23.2 per 100,000 residents for cold injuries, however, the crude annual inpatient admission incidence rate was more than four-fold higher for cold injuries compared to heat injuries (10.2 vs 2.4 per 100,000). Although hypothermia made up 27.0% of all temperature related injuries, it comprised 94.0% of all deaths. In the multivariable models, we identified demographic characteristics, temperature conditions and comorbidities strongly associated with both heat and cold related in-hospital mortality. CONCLUSIONS: While climate change is increasing the number of extreme heat days, it may also impact cold adaptation resulting in more serious adverse health outcomes when severe cold weather events do occur. As electronic health records become more widely available, they can prove to be a valuable resource to monitor, treat and predict temperature related injuries in the near future. Our findings regarding the substantially elevated mortality among cold related injuries, demonstrate the need to tailor public health messages to different climate zones in the United States.

Occupational injury surveillance pyramid description and association of medical care utilization with low income among work-related injuries.

BACKGROUND: A more comprehensive characterization of total work-related injury burden would ideally include all levels of medical care. Additionally, studies have suggested differential utilization of medical care among various socioeconomic groups, and it is unclear how this translates to work-related injuries. METHODS: The 2004-2016 National Health Interview Survey data were used to estimate all levels of care utilized by the individual for each injury episode. A multivariable logistic regression model based on 2004-2014 data was developed to investigate the relationship of low income and level of medical care used by the injured worker. RESULTS: Around 53.1% of occupational injury were exclusively treated outside of a hospital setting and never captured by hospital/emergency department data systems, which comprises 40% (3.0 million) of total missed days of work and 44% ($452 million) of total cost of lost productivity among full-time workers. Patients with work-related injuries are less likely to stay overnight in hospital compared with those with nonwork-related injuries (adjusted odds ration [aOR]: 0.6, 95% confidence interval [CI]: 0.5-0.7), however among work-related injuries, low-income patients are more likely to use medical care in a hospital setting compared with patients with income higher than poverty threshold (hospitalization: aOR: 1.9, 95% CI: 1.1-3.3; emergency room: aOR: 1.5, 95% CI: 1.1-2.0). CONCLUSIONS: These "minor work-related injuries" exclusively treated outside hospital tend to be ignored when defining national injury prevention priorities, but this analysis indicates that such an approach fails to capture a large portion of injuries significant enough to result in missed days of work and cost of lost productivity.

Injuries during the first hour at work in the U.S. mining industry.

BACKGROUND: The first hour of a shift in a mine is characterized by a large movement of miners from incoming and outgoing shifts, in addition to safety and maintenance checks of mining equipment. These activities rely on communication to ensure a safe transition between shifts. This study aims to identify risk factors for injury among miners during the first hour of a work shift and to characterize injury outcomes. METHODS: Data from U.S. Mine Safety and Health Administration Part 50 reports, 1983-2015, were used to identify injuries occurring within the first hour of a shift. Multivariable logistic regression was used to evaluate predictors of injuries occurring during the first shift-hour and to assess the outcome of these injuries. RESULTS: Out of the 545,537 cases included in the analysis, 16,446 injuries occurred during the first hour of a shift. Risk factors associated with these injuries included being female, being older, working on Sunday and Monday, having an irregular shift start, working night shifts, employed in surface mining operations, and mine operations with <200 employees, and mechanisms of injury related to falls, movement of equipment and personnel, and being struck by or caught between boxes and containers. Injurious incidents occurring during the first hour of work were associated with mass injury events involving five or more workers (aOR = 3.58; 95% CI: 2.77, 4.64). CONCLUSIONS: Although injury rates were substantially lower during the first hour of work compared to all other work hours, this study identified risk factors and mechanisms of injury that are highly preventable during the first hour of work.

Injuries associated with long working hours among employees in the US mining industry: risk factors and adverse outcomes.

OBJECTIVES: The mining industry is increasingly adopting extended workdays of 10-12 hour shifts. Studies demonstrate that long work hours are associated with psychomotor impairments caused by fatigue and an increased risk of injury. However, studies involving miners remain limited. This analysis aimed to identify risk factors associated with long working hour injuries and to determine if long working hour incidents were associated with being killed or incidents involving multiple injured workers. METHODS: Data from US Mine Safety and Health Administration Part 50 reports, 1983-2015, were used to identify long working hour injuries, which were defined as incidents occurring nine or more hours after the start of a shift. RESULTS: A total of 52 206 injuries (9.6%) occurred during long working hours. The proportion of long working hour injuries increased from 5.5% of all injuries in 1983 to its peak in 2015 at 13.9% (p<0.001). Risk factors associated with long working hour injuries included irregular shift starts, being newly employed, employment by a contractor, metal/non-metal operations and mines with <100 employees. In two separate adjusted models, long working hour injuries were associated with a higher odds of death (adjusted OR [aOR]=1.32; 95% CI 1.18 to 1.48) and single incidents resulting in two or more workers injured (aOR=1.73; 95% CI 1.58 to 1.89). CONCLUSIONS: Long working hour injuries were associated with a lack of routine, being new at the mine and specific mining activities. An international shift towards using contract labour and extended workdays indicates that injuries during long working hours will likely continue to grow as a problem in the mining industry.

Mine Safety and Health Administration's Part 50 program does not fully capture chronic disease and injury in the Illinois mining industry.

BACKGROUND: The Mine Safety and Health Administration (MSHA) requires reporting of injuries and illnesses to their Part 50 program. A 2011 study indicated that the Part 50 program did not capture many cases of injury in Kentucky, causing concern about underreporting in other states. METHODS: MSHA Part 50 reports from Illinois for 2001-2013 were linked to Illinois Workers' Compensation Commission (IWCC) data. IWCC cases not found in the Part 50 data were considered unreported. RESULTS: Overall, the Part 50 Program did not capture 66% of IWCC cases from 2001 to 2013. Chronic injuries or illnesses were more likely to be unreported to MSHA. CONCLUSIONS: The majority of occupational injuries and illnesses found in the IWCC from this time period, were not captured by Part 50. Inaccurate reporting of injuries and illnesses to the Part 50 program hinders MSHA's ability to enforce safety and health standards in the mining industry.

Workers' compensation filings of temporary workers compared to direct hire workers in Illinois, 2007-2012.

BACKGROUND: The physical and psychological risks of temporary employment are well documented but there are still many questions regarding the consequences of injuries among these workers. METHODS: This analysis examines Illinois Workers' Compensation Commission filings from 2007 through 2012 to compare total cost of the decision, days of work missed, and percent disability of employees of temporary agencies with direct hire claims. RESULTS: Total award median was $5,813.66 for direct hire employees and $2,625.00 for temporary workers. Of those employees claiming time off from work, median total time off was 1.3 weeks for direct hire employees compared to 1.2 weeks for temporary workers. Median total percent disability was 16.0% for direct hire and 10.0% for temporary employees. CONCLUSIONS: There are differences between temporary workers and direct hire employees in terms of total workers' compensation awards, total time off, and percent disability. Additional studies are needed to validate these findings. Am. J. Ind. Med. 60:11-19, 2017. © 2016 Wiley Periodicals, Inc.

Using clinical signs of neglect to identify elder neglect cases.

Elder neglect is the one of the most pervasive forms of mistreatment, and often the only place outside of the individual's residence to identify and assist neglected individuals is in a medical setting. However, elder neglect cases treated in hospitals do not present with a single diagnosis or clinical sign, but rather involve a complex constellation of clinical signs. Currently, there is a lack of comprehensive guidelines on which clinical signs to use in screening tools for neglect among patients treated in hospitals. Using the DELPHI method, a group of experts developed and tested a scale to be used as a pre-screener that conceptually could be integrated into electronic health record systems so that it could identify potential neglect cases in an automated manner. By applying the scale as a pre-screener for neglect, the tool would reduce the pool of at-risk patients who would benefit from in-depth screening for elder neglect by 95%.

A description of cases of severe physical abuse in the elderly and 1-year mortality.

We conducted a case-control study to evaluate severe physical abuse of the elderly treated in two Chicago area Level I trauma centers. This report details whether physicians are adequately reporting cases of abuse to Adult Protective Services (APS), and assesses 1 year. The failure to report two-thirds of the cases and the substantially higher risk of death during the first year after hospitalization indicates the need for improved identification, reporting, and intervention. It is important that clinicians understand the complexity of elder abuse in order to better identify suspected victims and report these cases to professionals in APS.