Multisource surveillance for non-fatal work-related agricultural injuries

Understanding Stakeholder Dissemination Preferences for an Agriculture, Forestry, and Fishing Injury Surveillance System

Researchers and epidemiologists are working to improve the capture of agriculture, forestry, and fishing (AgFF) injuries in a variety of ways. A critical component of any surveillance system is the dissemination of information. The purpose of this paper is to report on a survey conducted with AgFF injury surveillance stakeholders to understand preferred dissemination strategies. The survey was distributed using REDCap via web link to organizational stakeholders, which included advisory board members, safety trainers, industry managers and workers, and research collaborators. In total, there were 75 respondents (21% response rate). Occupation and industry influenced preference in update methods. Regarding the length and breadth of updates, 63% of respondents prefer reports (one to five pages), followed by 57% desiring a summary (less than one page), while only 24% wanted a detailed analysis. Social media and news preferences were also different among stakeholders. Surveillance data were desired for 1) trend analysis, 2) tailoring activities and solutions for education, training, outreach and interventions and 3) for research purposes such as grant proposals and evaluation. The dissemination of injury surveillance data should be tailored to the intended audience. Greater attention needs to be paid to the ways in which we share our findings.

Non-Fatal Work-Related Farm Injuries Occurring to Michigan Adults and Youths

Farming is one of the top industries in Michigan and has the highest fatality rate. National sources of non-fatal farm injuries underestimate the burden, especially among children. In this paper, we provide a more accurate estimate of non-fatal farm injuries in Michigan by using an ongoing multi-source surveillance system. Michigan's farm-injury surveillance system includes abstractions of hospital-based medical records, poison control center calls, ambulance runs, and workers' compensation claims for individuals with a farm-related injury. For this analysis, injury onset occurred in 2015 to 2021 and included all injuries regardless of age or occupation. We identified 4,306 injuries in adults and 336 injuries in youth. For those 0-13 years of age all but two were family members. For those 14-15 and 16-17 years of age, 19% and 45%, respectively were hired hands. For adults, 51% were owner/operators, 43% were hired hands, and 5% were family members. For all ages, the most frequent injury source was cattle. Lacerations/cuts/punctures were the most common type of injury for those < 14 years of age while for older individuals it was contusions/bruises. The plurality of injuries occurred in the summer months. Children working on a farm are in unique situation and tracking injuries and identifying injury sources provide necessary information to protect their health and well-being. Michigan's farm-injury surveillance system will continue to provide a comprehensive count of work-related injuries among Michigan's farming population. The information is used to direct public health intervention both at the individual and population level.

Injuries Among Hispanic/Latinx Agricultural Workers Seen in Illinois Hospitals

OBJECTIVE

Agriculture is a dangerous industry, with evidence indicating a disproportionate burden among Hispanic/Latinx workers. There is a need to expand the utilization of different data systems to improve the surveillance of precarious workers within agriculture. This analysis describes inclusion criteria to identify farm-related injuries and illnesses in hospital data utilizing ICD-10 codes to better assess health equity issues involving Hispanic/Latinx workers and their associated costs.

METHODS

Discharge data of agriculture-related injuries and illnesses treated in Illinois hospitals and emergency departments from 2018 to 2021 were extracted using ICD-10 diagnosis and location of injury codes. Injury cause, nature, severity, and course of clinical care are stratified by ethnicity. Multivariable models were developed to assess differences in injury severity, level of care required, and cost of care.

RESULTS

We identified 3,745 farm-related injuries and illnesses treated in Illinois hospitals between 2018 and 2021, of which 196 involved Hispanic/Latinx individuals. Hispanic/Latinx patients were substantially younger and disproportionately covered by workers' compensation insurance or uninsured. Compared to non-Hispanic/Latinx individuals, Hispanic/Latinx patients suffered injuries from different mechanisms, particularly involving animals and cutting/piercing instruments. While non-Hispanic/Latinx individuals demonstrated more severe injuries based on the descriptive statistics, after controlling for confounding (particularly age), we did not observe ethnic disparities in injury severity or level of care required. However, the cost of care was equivalent to or higher among Hispanic/Latinx persons.

CONCLUSION

The case definition used for this analysis identified agriculture-related cases and provided insights on the course of clinical care by ethnicity. This strategy would likely yield valuable information in states with larger and more diverse agricultural workforces. More targeted research to appropriately scope the issue and inform interventions is needed to understand differential exposure and reduce agricultural workplace hazards and address the financial burden resulting from farm-related injuries.

Safety and Injury of US-Certified Organic Crop Producers in the Southwest Region

OBJECTIVES

Literature on occupational risks among organic farmers is scarce. This study explored safety practices and non-fatal injuries among organic producers, and the role of sociodemographic, work, and farm characteristics on safety and injury.

METHODS

Cross sectional survey of certified organic crop producers in the Southwest (SW) region of the United States (US). The Organic Integrity Database was used for recruitment. Data were collected through an electronic and paper survey.

RESULTS

Analyses were conducted on 115 cases; response rate was estimated at 25%. A high majority of respondents owned their operation and were younger than 65 years, male, educated beyond high-school, and non-Hispanic whites. Less than half had more than 10 years of experience in organic farming; one-third worked off the farm year-round. Safety practices were very basic despite the widespread use of equipment and machinery, and limited to wearing normal clothing and apparel such hats and glasses. About half of respondents (52.6%) reported non-fatal injuries in the past year; and one-third (32.7%) time lost due to injuries. The overall cumulative incidence rate was estimated at 5.3 injuries per 10 workers within the last year. The injury rate decreased with hours worked. Significant differences were found on gender and education level and safety practices, with female respondents and the more educated being more proactive in practicing safety. Those working less than 40 h/week, in farms smaller than 50 acres, using light machinery or compact utility tractors, and tractors without roll-over protection reported significantly higher injury frequency compared to their counterparts.

CONCLUSION

This study contributes unique data on an essential workforce not captured by current occupational injury and illness surveillance systems. It identifies important personal and contextual factors that may contribute to safety and injury in this population. The findings indicate the need to promote safety and prevent injuries that result in work time lost. This study may also inform future occupational safety and health research and practice, including surveillance, injury prevention programs that target certain workers and production practices, and policies that support and protect the organic farmer.

Clinical characteristics and outcomes of injuries in agricultural and nonagricultural workers visiting the emergency department: a propensity-matched analysis

OBJECTIVE

Agriculture is a hazardous industry. However, previous studies have focused on injuries to agricultural workers without comparison with injuries to nonagricultural workers. Therefore, we compared the clinical characteristics and outcomes of injuries reported at an emergency department (ED) between agricultural workers and nonagricultural workers.

METHODS

We established a prospective ED-based agricultural injury surveillance system at a tertiary university hospital. Adult patients visiting the ED for an injury were divided into farmer and non-farmer groups depending on their engagement with agriculture. Using an adjusted multivariate analysis and propensity score matching (age, sex, inhabitant, and insurance type), we compared the clinical characteristics and outcomes of injuries between the farmer and non-farmer groups.

RESULTS

In total, 38,556 injured adult patients (37,746 in the non-farmer group and 810 in the farmer group) were available for the unmatched sample analysis. The 1,620 matched subjects were equally classified after one-to-one nearest-neighbor propensity score matching. A multivariate logistic regression analysis of the unmatched sample revealed higher adjusted odds ratios (ORs) for intensive care unit admission (adjusted OR, 1.752; P=0.003) and overall surgery (adjusted OR, 1.870; P<0.001) in the farmer group. In contrast, univariate logistic regression analyses of the propensity score-matched sample found a higher OR in the farmer group only for overall surgery (OR, 1.786; P<0.001).

CONCLUSION

Injuries of agricultural workers had higher odds only of requiring surgery; differences in injury-related mortality between groups were not statistically significant in either the matched or unmatched sample analyses.

Non-Fatal Agricultural Injuries and First Aid Self-Efficacy Among Greenhouse Workers in Turkey

OBJECTIVE

This study aimed to see if there was a link between first aid self-efficacy and the frequency of occupational accidents and non-fatal agricultural injuries in greenhouse agriculture workers.

METHODS

This cross-sectional study was conducted with 251 people in a district center. Sociodemographic, occupational accident, and injury questionnaires prepared by the researchers and the First Aid Self-Efficacy Scale were used to collect the data. SPSS 25.0 software was used to evaluate the data and descriptive statistics; the Mann-Whitney U test and Kruskal Wallis analysis of variance were applied in the analysis.

RESULTS

71.4% of the participants experienced an occupational accident by falling and slipping; 41.7% were slightly injured after the accident, and 63.2% experienced injuries in fractures, sprains, and crushes. We found that most injuries were in the lower extremities (33.2%), and 66.4% were admitted to the hospital. We ascertained that male workers' median first-aid self-efficacy scores were significantly higher than those of female workers (p < .05). We determined there was no significant difference between first-aid self-efficacy scores according to other sociodemographic variables, occupational accidents, or injury data (p > .05).

CONCLUSION

Occupational accidents and non-fatal agricultural injuries are common in greenhouse agriculture, and male workers have higher first-aid self-efficacy than female workers. Since greenhouse work is a hazardous line of work, providing simple medical first-aid training would be useful for those working in this field.

Animal-Related Injuries and Fatalities in the AgInjurynews Collection

OBJECTIVES

This research had three objectives. The first was to characterize reports of animal-related injuries found in the AgInjuryNews Dataset. The second objective was to compare the results of the AgInjuryNews reports to that of the Regional Rural Injury study. The third objective was to qualitatively and quantitatively assess the utility of using the AgInjuryNews database.

METHODS

A total of 104 reports on animal-related incidents representing 112 victims were sourced from AgInjuryNews. Chi square tests were performed comparing fatal and non-fatal injuries across age, gender, role in incident, animal, and activity. Additional chi square tests were performed to compare AgInjuryNews data with the results of Regional Rural Injury Study II across age, gender, animal, and activity. Utility of the dataset was assessed by examining the distribution of reports across states, the availability of articles, and qualitative observations.

RESULTS

Chi square results comparing fatal and nonfatal injuries were significant for victim gender. Results of the comparison of the two studies were significant for age and activity. A mismatch between the states with the highest populations of large animals and the states with the most reports in the AgInjryNews.org database was detected. Approximately 42% of reports the original articles were not accessible. Media bias plays a role in which cases are reported, but the size and accessibility of the dataset increases its utility.

CONCLUSION

Despite the limitations inherent to the dataset, the amount of freely accessible information and the level of insight provided make AgInjuryNews a valuable resource for agricultural injury research.

Severe injuries from product movement in the U.S. food supply chain

INTRODUCTION

The modern food supply chain presents unique hazards to employees that result in higher morbidity and mortality rates versus other industries. Employees in food manufacturing, wholesaling, and even retailing experience relatively high numbers of occupational injuries and fatalities. One reason for the high hazard rates may be the reliance on a synergistic packaging system designed to load and transport food products within and between manufacturers, wholesalers, and retailers. Packaged food products are often aggregated using palletizers before they can be transported by forklifts and pallet jacks. Materials handling within facilities is critical to the efficient functioning of all members of the food-related supply chain, but product movement can be a source of occupational injuries. No previous research has examined the cause and result of such hazards.

METHOD

This paper aims to examine severe injuries related to the packaging and movement of food products in segments of the food and beverage supply chain from manufacturing to retailing. An OSHA database was used to investigate all severe injuries in the six years from 2015 to 2020. The focus was on the food supply chain for the period since OSHA began mandating new reporting procedures for severe injuries.

RESULTS

Results show there were 1,084 severe injuries and 47 fatalities during the six-year period. Fractures of the lower extremities were most prevalent, with the most frequent event type being transportation-related such as pedestrian-vehicle incidents. Significant differences were seen in the three parts of the food supply chain.

PRACTICAL APPLICATIONS

Implications are drawn for key sectors of the food-related supply chain to reduce packaging- and product movement-related hazards.

Agricultural Injuries: Risk Factors and Severity by Affected Body Part among US (Midwest) Farmers

OBJECTIVES

Statistics from the United States Bureau of Labor Statistics indicate that agriculture consistently ranks as the most hazardous industry in the US. To identify specific targets for prevention, we investigated injury risk factor profiles separately for each injured body site. We also characterized the severity of agricultural injuries by injured body site using the type of medical care and lost work time due to injury.

METHODS

We used the Central States Center for Agricultural Safety and Health (CS-CASH) surveillance data for 2018 to perform descriptive statistics and regression modeling.

RESULTS

We found that 12% (513/4351) of the participants experienced one or more injuries in the previous 12 months. Compared to female operators, male operators had 3.53 (95% CI: 1.17-10.68) times higher odds of back injury. Operators in livestock production had 2.77 times (95% CI:1.12-6.82), 2.28 times (95% CI:1.25-4.14), and 1.69 times (95% CI:1.10-2.59) higher odds of injury to the chest/trunk, finger, and leg/knee/hip, respectively, compared to operators in crop or mixed production. After adjusting for age and gender, operators who worked full time (vs. part-time) on the farm/ranch had 2.11 times (95% CI:1.03-4.34) higher odds of back injury. Arm/shoulder and leg/knee/hip injuries were more frequent in older age groups.

CONCLUSIONS

Prevention measures should be tailored considering specifically livestock producers with emphasis on trainings on proper livestock handling, such as being gentle, establishing routine, keeping distance, and avoiding sudden and loud noise when handling animals. Applying these techniques avoid startling the animals and reduce the risk of injuries.

Agricultural Safety and Health Curriculum: Preparing the Next Generation of Rural Nurses

The purpose of this study is to examine the impact of including/expanding agricultural health and safety curriculum in a prelicensure baccalaureate of nursing program on the nursing students' knowledge of agricultural health and safety. A convenience sample of baccalaureate nursing students in their first year of nursing school on two different campuses of a Midwestern college of nursing. Agricultural health and safety content was introduced with pre- and post-surveys completed after delivery of the agricultural health and safety education unit. Independent T-test (p < .05) performed on pre (n = 135) and post surveys (n = 109). There were no significant differences between baseline data on the two campus sites or between genders. There were statistically significant differences between baseline and post levels of knowledge, with an increase in perceived knowledge. Students "raised on a farm" or "that worked on a farm" and students "not raised on a farm" or "didn't work on a farm" had significantly different knowledge levels at baseline, and all groups had a statistically significant change in knowledge, but no significant posttest difference between groups. Incorporation of agricultural health and safety into a Bachelor of Science Nursing program can lead to significant knowledge increase and better prepare student nurses to provide care to patients with agricultural-related injuries and health concerns.

Outcomes of farm compared to nonfarm pediatric injuries: A propensity-matched analysis

OBJECTIVES

Pediatric farm-related injuries are rare but tend to be severe relative to other types of pediatric injury and may result in worse clinical outcomes. However, the comparison of farm and nonfarm injuries is confounded by different injury mechanisms, patient characteristics, and treating facilities. Therefore, we used propensity score matching to compare outcomes of pediatric farm and nonfarm injuries in the United States.

METHODS

Data were obtained from the 2017-2019 Trauma Quality Program database. Farm as compared to nonfarm injury was defined as the location of an injury and served as the independent variable analyzed in this study. The outcome variables analyzed were in-hospital mortality, hospital length of stay (LOS), and admission to the intensive care unit (ICU).

RESULTS

We identified 2,040 farm injuries and 201,865 nonfarm injuries meeting inclusion criteria. In this cohort, the mortality rate was 1%, median LOS was 2 days, and 14% of patients were admitted to the ICU. In the propensity-matched analysis (including 2,039 farm cases matched to 2,039 nonfarm controls), farm as compared to nonfarm injuries were associated with 5% longer LOS (95% CI: 1%, 8%; P = .01), but not mortality or ICU admission.

CONCLUSIONS

In a propensity-matched analysis, pediatric farm injuries resulted in prolonged hospital stay compared to nonfarm injuries. Identifying patient- and health care system-level factors contributing to prolonged LOS may help optimize the care of children injured on farms.

Regional surveillance of medically-attended farm-related injuries in children and adolescents

Purpose

Due to numerous environmental hazards such as heavy machinery and large livestock, youth who live and work on farms are at high risk of injury, disability, and death. This study described a regional surveillance system for monitoring farm-related injuries in children and adolescents. As the risk of farm-related injuries are not exclusive to farm residents, trends in farm-related injuries over the previous 5 years were reported and compared between children/adolescents who did and did not live on farms in north-central Wisconsin.

Methods

A retrospective cohort of child and adolescent patients of the Marshfield Clinic Health System was assembled. Incident farm-related injuries, including from agricultural work or other activities in a farm environment, were extracted from medical records from 2017 through 2021. Generalized linear models were created to compare age- and sex-adjusted farm-related injury rates by year.

Results

There were 4,730 (5%) in-farm and 93,420 (95%) out-farm children and adolescents in the cohort. There were 65 incident farm-related injury cases in the in-farm group and 412 in the out-farm group. The annual incidence rate of farm-related injuries was higher in the in-farm group, but changes during the 5-year timeframe were not significant in either group. In the in-farm group, rates ranged from a high of 61.8 [95% confidence interval (CI): 38.3, 94.5] incident farm-related injuries per 10,000 children/adolescents in 2017 to a low of 28.2 (13.5, 51.9) injuries per 10,000 children/adolescents in 2018. In the out-farm group, rates ranged from 10.7 (8.3, 13.6) to 16.8 (13.7, 20.5) incident farm-related injuries per 10,000 children/adolescents per year between 2017 and 2021. The in-farm group had a higher proportion of injured males and heavy machinery injuries, while the out-farm group had more all-terrain vehicle injuries and pesticide poisonings.

Conclusion

Farm residency remains hazardous for children and adolescents, as injury rates were three times higher in the in-farm group and remained stable over 5 years. All-terrain vehicle injuries were high in both groups, and should be a priority in rural safety interventions. With additional adaptations to other states, this surveillance model could be scaled across other healthcare systems.

Implications of health conditions on rural soybean workers' quality of life

OBJECTIVE

to analyze the implications of health conditions on rural workers' quality of life in the context of soybean production.

METHOD

a cross-sectional study, with an intentional sample of 299 male rural workers. Data collection took place between October and December 2019. The following instruments were used: World Health Organization Quality Life-bref; Rural Workers' Living & Health Conditions questionnaire; International Physical Activity Questionnaire; Cut down, Annoyed, Guilty, and Eye-opener. They were analyzed via descriptive and inferential statistics, using bivariate (Mann-Whitney; Kruskal-Wallis) and multivariate tests (generalized additive models for location, scale and shape).

RESULTS

the presence of a diagnosis of morbidity, alcohol dependence, occupational accidents and absenteeism implied a decrease in workers' quality of life scores.

CONCLUSION

the existence of unfavorable health conditions has a negative impact on rural soybean workers' quality of life.

Implicações das condições de saúde na qualidade de vida de trabalhadores rurais da soja

RESUMO Objetivo: analisar as implicações das condições de saúde na qualidade de vida dos trabalhadores rurais inseridos no contexto de produção da soja. Método: pesquisa transversal a partir de uma amostra por conveniência de 299 homens trabalhadores rurais. A coleta ocorreu entre os meses de outubro e dezembro de 2019. Utilizaram-se os instrumentos: World Health Organization Quality Life-bref; questionário Condições de Vida & Saúde dos Trabalhadores Rurais; International Physical Activity Questionnaire; Cut down, Annoyed, Guilty, and Eye-opener. Foram analisados via estatística descritiva e inferencial, com aplicação de testes bivariados (Mann-Whitney; Kruskal-Wallis) e multivariados (modelos aditivos generalizados para locação, escala e forma). Resultados: a presença de diagnóstico de morbidade, dependência de álcool, acidente no trabalho e absenteísmo implicaram diminuição dos escores de qualidade de vida dos trabalhadores estudados. Conclusão: a existência de condições de saúde desfavorável repercute negativamente na qualidade de vida dos trabalhadores rurais atuantes no contexto da soja.

Stakeholders’ Consumption of Agricultural Injury Reports from News Media: A Six-Year Analysis of Website Usage and Visitor Analytics

AgInjuryNews.org is a news report-based, online sentinel surveillance dataset that has provided publicly available news and media reports of agricultural injuries since early 2015. In the 6 years since its inception, AgInjuryNews.org has hosted 12,897 unique visitors and has collected 997 user account registrations. New users from geographic areas home to NIOSH-funded agricultural research centres were most prominent, with these centres returning in larger numbers, comparatively. Users were acquired mostly through web searches, collaborations with other agencies, and paid Facebook.com advertisements. Paid advertisements recruited 3792 visitors; however, retention, registrations, and on-site engagement from this source was low. This analysis shows that data consumption on AgInjuryNews.org is steadily growing. Similar self-hosted programs that provide data or digital resources to agricultural safety and health stakeholders should consider the integration of auditing and analytics tracking, including user registrations.

Nonfatal Agricultural Injuries Treated in Emergency Departments: 2015-2019

Utilizing emergency department admissions to estimate and describe agricultural injuries in the United States (U.S.) provides a unique view of one of the country's most dangerous occupations. This study characterizes and provides nationally representative estimates of persons with non-fatal agricultural-related injuries treated in emergency departments in the U.S.We conducted a cross-sectional study using U.S. Consumer Product Safety Commission, National Electronic Injury Surveillance System (NEISS) data for patients treated in emergency departments from January 1, 2015 to December 31, 2019. We queried all cases in the NEISS database using the location code "farm" and with a narrative search using relevant key words.An estimated 62,079 people were treated in an emergency department for agricultural related injuries. The mean age estimate in this population was 39 years-old, with ages ranging from 1 to 95. Almost two-thirds of patients were male, and almost 80% were white. Approximately 30% and 22% of those injured were youth and elderly patients, respectively. The majority of injuries occurred from April through September. The most common injury was fracture, followed by open wound or amputation. There were significant differences between the body parts injured in youth versus adult patients. The primary source of injury was in the vehicles category, with tractors being the dominant vehicle type.Agricultural vehicles remain a major source of injuries that require treatment in emergency departments. Previous methods of quantifying severe ag-related injuries were limited; our research utilized NEISS data to portray injury statistics more accurately.

Using hospitalization data for injury surveillance in agriculture, forestry and fishing: a crosswalk between ICD10CM external cause of injury coding and The Occupational Injury and Illness Classification System

BACKGROUND

While statistics related to occupational injuries exist at state and national levels, there are notable difficulties with using these to understand non-fatal injuries trends in agriculture, forestry, and commercial fishing. This paper describes the development and testing of a crosswalk between ICD-10-CM external cause of injury codes (E-codes) for agriculture, forestry, and fishing (AFF) and the Occupational Injury and Illness Classification System (OIICS). By using this crosswalk, researchers can efficiently process hospitalization data and quickly assemble relevant cases of AFF injuries useful for epidemiological tracking.

METHODS

All 6810 ICD-10-CM E- codes were double-reviewed and tagged for AFF- relatedness. Those related to AFF were then coded into a crosswalk to OIICS. The crosswalk was tested on hospital data (inpatient, outpatient, and emergency department) from New York, Massachusetts, and Vermont using SAS9.3. Injury records were characterized by type of event, source of injury, and by general demographics using descriptive epidemiology.

RESULTS

Of the 6810 E-codes available in the ICD-10-CM scheme, 263 different E-codes were ultimately classified as 1 = true case, 2 = traumatic/acute and suspected AFF, or 3 = AFF and suspected traumatic/acute. The crosswalk mapping identified 9969 patient records either confirmed to be or suspected to be an AFF injury out of a total of 38,412,241 records in the datasets, combined. Of these, 963 were true cases of agricultural injury. The remaining 9006 were suspected AFF cases, where the E-code was not specific enough to assign certainty to the record's work-relatedness. For the true agricultural cases, the most frequent combinations presented were contact with agricultural/garden equipment (301), non-roadway incident involving off-road vehicle (222), and struck by cow or other bovine (150). For suspected agricultural cases, the majority (68.2%) represent animal-related injuries.

CONCLUSIONS

The crosswalk provides a reproducible, low-cost, rapid means to identify and code AFF injuries from hospital data. The use of this crosswalk is best suited to identifying true agricultural cases; however, capturing suspected cases of agriculture, forestry, and fishing injury also provides valuable data.

A Scoping Review of Safety and Health Interventions in the High-Risk Dairy Industry: Gaps in Evidence Point to Future Directions in Research

The occupational injury rate of the dairy industry (6.6 per 100 full-time workers) is twice that of the national average across all industries (3.3 per 100 full-time workers). While dairy farms are becoming larger in size and fewer in number, this rate has not changed. A scoping review was conducted to identify published reports of occupational safety interventions in the dairy industry. An additional criterion was that the study included an evaluation of the intervention. Out of 22 articles that met the first criterion (discussion of interventions specific to the dairy industry), 19 met the second of having an evaluative component. These 19 articles corresponded to 16 unique studies, because 4 articles corresponded to the same study. Of the 16 unique studies, only 3 had a comparison of treatment vs. control effects, and none measured the impact of the intervention on injuries and fatalities. Of the 16 interventions, 6 were focused on training or informational campaigns in which the evaluations primarily measured knowledge acquisition. Additionally, none of these studies had a sufficient sample size to compare injury rates as an outcome. Our study demonstrates that the literature lacks any rigorous evaluation of whether dairy safety interventions are making an impact on injury prevention. Given this, it is not possible to determine how work-related injuries and deaths can be prevented in the dairy industry. Recommendations for future research include incorporating rigorous evaluation into research designs and attempting to develop low-cost, unobtrusive methods for collecting data on intermediate and final outcomes.

Evaluating Oregon's occupational public health surveillance system based on the CDC updated guidelines

Background

The Oregon Occupational Public Health Program (OOPHP) monitors occupational health indicators (OHIs) to inform occupational safety and health (OSH) surveillance. In 2018, OOPHP evaluated the performance of the OSH surveillance system and identified areas for future improvement.

Methods

Following the Centers for Disease Control and Prevention (CDC) updated guidelines for evaluating public health surveillance systems, the OOPHP evaluation team engaged internal and external stakeholders using a mixed‐methods approach. Operational measures for ten surveillance attributes were developed. Multiple data collection methods resulted in credible evidence for evaluation conclusions. Analyses included summary statistics and qualitative analysis of interviews, a focus group, and online surveys.

Results

Twenty stakeholders took part in this evaluation, with an average participation rate of 55%. Results showed the Oregon OSH surveillance system was simple, flexible, and highly accepted by its stakeholders. Funding security presents challenges for stability. A lack of timeliness of OHIs, low relevance of OHIs to local OSH issues, and the system's ineffectual data dissemination all limit the usefulness of the OSH surveillance system. A review of key data sources for the system showed good data quality and predictive value positive, but relatively poor sensitivity and representativeness.

Conclusions

The evaluation team successfully adapted attributes and examples in the CDC guidelines to this Oregon OSH surveillance evaluation. The evaluation findings have informed the development of recommendations for improvements to OOPHP's OSH surveillance. Future research is needed to develop guidance specific to OSH surveillance evaluation.

Redesigning a Sentinel Surveillance System for Collecting and Disseminating Near Real-Time Agricultural Injury Reports: System Usability Study

Background

Injury data and reports provide valuable information for both public and private organizations to guide programming, policy, and prevention, but in the increasingly complex and dangerous industry of US agriculture, the injury surveillance needed to produce this data is lacking. To address the gap, AgInjuryNews was established in 2015. The system includes fatal and nonfatal injury cases derived from publicly available reports, including occupational and nonoccupational injuries, occurring in the agricultural, forestry, and fishing (AFF) industry.

Objective

The study aimed to develop a stakeholder-engaged redesign of the interactive, up-to-date, and publicly available dataset of US AFF injury and fatality reports.

Methods

Instructor-led heuristic evaluations within a 15-student undergraduate course, data from 8 student participants of laboratory-based usability testing and 2016 and 2017 AgInjuryNews-registered user surveys, coupled with input from the National Steering Committee informed the development priorities for 2018. An interdisciplinary team employed an agile methodology of 2-week sprints developing in ASP.NET and Structured Query Language to deliver an intuitive frontend and a flexible, yet structured, backend, including a case report input form for capturing more than 50 data points on each injury report.

Results

AgInjuryNews produced 17,714 page views from 43 countries in 2018 captured via Google Analytics, whereas 623 injury reports were coded and loaded, totaling more than 31,000 data points. Newly designed features include customizable email alerts, an interactive map, and expanded search and filter options. User groups such as the Bureau of Labor Statistics and the Agricultural Safety and Health Council of America have endorsed the system within their networks. News media have cited or referenced the system in national outlets such as the New York Times, Politico, and the Washington Post.

Conclusions

The new system’s features, functions, and improved data granularity have sparked innovative lines of research and increased collaborative interest domestically and abroad. It is anticipated that this nontraditional sentinel surveillance system and its dataset will continue to serve many purposes for public and private agricultural safety and health stakeholders in the years to come.