Ensuring data quality and maximizing efficiency in coding agricultural and forestry injuries: Lessons to improve occupational injury surveillance

Scott, Erika; Hirabayashi, Liane; Luschen, Kevin; Krupa, Nicole; Jenkins, Paul

doi:10.1016/j.jsr.2022.09.006

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Compared to different types of injury surveillance systems like sports injury surveillance system [ 16 ], occupational injury surveillance system [ 43 ], and road traffic injury surveillance system [ 38 ] which have been developed for specific purposes, an ED-based ISIS can use the potentials of the EDs in terms of collecting timely and detailed data for the injured patients and store them in a central database to avoid parallel system development. This approach can also overcome data unavailability at the point of need which might be due to the distribution of data across several different systems [ 14 ].…”

Section: Discussionmentioning

confidence: 99%

Emergency department-based injury surveillance information system: a conceptual model

et al. 2023

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Background Injury data play a pivotal role in monitoring public health issues and Injury Surveillance Information Systems (ISIS) are useful for continuous data collection and analysis purposes. Since emergency department (ED) is usually the first place of referral for the injured people, the aim of this study was to develop a conceptual model for an ED-based ISIS. Methods This study was completed in 2020 and the Delphi technique (three rounds) was used to determine the main components of an ED-based ISIS. The participants were selected using the purposive sampling method. A 5-point Likert scale questionnaire was used for data collection and data were analyzed using descriptive statistics. Results In the first, second, and third rounds of the Delphi study, 60, 44, and 28 experts participated, respectively. In the first and second rounds, most of the items including the personal data, clinical data, data sources, and system functions were found important. In the third round of the Delphi study, 13 items which did not reach a consensus in the previous rounds were questioned again and five items were removed from the final model. Conclusion According to the findings, various data elements and functions could be considered for designing an ED-based ISIS and a number of data sources should be taken into count to be integrated with this system. Although the conceptual model presented in the present study can facilitate designing the actual system, the final system needs to be implemented and used in practice to determine how it can meet users’ requirements.

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Section: Discussionmentioning

confidence: 99%

Emergency department-based injury surveillance information system: a conceptual model

et al. 2023

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“…The men and women employed in these industries are often subject to rigorous physical demands, prolonged exposure to environmental hazards, and irregular working hours [ 20 ]. The inherent factors specific to AFF occupations may significantly impact the health and well-being of these individuals [ 21 ]. We are particularly interested in examining the possible relationship between BMI and the health outcomes of individuals in AFF professions.…”

Section: Introductionmentioning

confidence: 99%

Associations between body mass index and all-cause and CVD mortality in agriculture, forestry, and fishing occupations: A prospective cohort study using NHANES data (1999–2014)

Qi,

Zhang,

Yang

2024

PLoS ONE

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Introduction Obesity, as indicated by elevated Body Mass Index (BMI), is a well-established global health concern associated with increased morbidity and mortality across diverse populations. However, the influence of BMI on individuals in Agriculture, Forestry, and Fishing (AFF) occupations, characterized by unique challenges and environmental factors, has received limited research attention. Methods Our study, a prospective cohort analysis, utilized National Health and Nutrition Examination Survey (NHANES) data from 1999–2014, targeting adults above 18 in AFF occupations with comprehensive BMI data, omitting individuals with a history of cancer. Mortality outcomes were extracted from the NHANES mortality file, and BMI was segmented into eight categories. Essential covariates such as age, sex, race, and various health factors were incorporated. The statistical analysis encompassed Cox regression, generalized additive models, smooth curve fitting, and stratified analyses. Results During 1,005 person-years with 201 all-cause and 57 CVD deaths, we observed L-shaped and U-shaped correlations of BMI with all-cause and CVD mortality, featuring a pivotal inflection at 26.69 and 27.40 kg/m2. Above this BMI threshold of 26.69 and 27.4 kg/m2, all-cause mortality association was not significant while CVD mortality was positive. Conclusions This study highlights a unique BMI-mortality association in AFF occupations, diverging from standard patterns. The rigorous labor and environmental conditions in AFF jobs suggest that a certain range of higher BMI could reduce mortality risk. This highlights the necessity for tailored health guidelines in different occupations. Future research should concentrate on diverse health indicators and enhanced risk assessment for physically strenuous occupations.

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Using State Agency Reports to Augment Ohio’s Agricultural Injury Surveillance Efforts

Jepsen,

Costin,

Bookman

et al. 2024

Journal of Agromedicine

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Ensuring data quality and maximizing efficiency in coding agricultural and forestry injuries: Lessons to improve occupational injury surveillance

Cited by 3 publications

References 8 publications

Emergency department-based injury surveillance information system: a conceptual model

Emergency department-based injury surveillance information system: a conceptual model

Associations between body mass index and all-cause and CVD mortality in agriculture, forestry, and fishing occupations: A prospective cohort study using NHANES data (1999–2014)

Using State Agency Reports to Augment Ohio’s Agricultural Injury Surveillance Efforts

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