Background The Shenkursk Injury Registry (SHIR) was established in the Shenkursk District, Northwestern Russia in 2015 for the purposes of primary prevention. The SHIR covers all injuries (ICD-10 diagnoses from S00 to T78) for which medical aid is given at the Shenkursk central district hospital and includes data about injury circumstances. We used the SHIR data to assess the quality of the SHIR as an evidence basis and for the local preventive applications. Methods Completeness, representativeness, and reliability of the SHIR data were assessed using a sample of 1696 injuries which have occurred in July 2015–June 2016. Chi-square tests were used to assess differences between the registered and missed cases in the registry and Cohen’s kappa were applied to assess the agreement between independent data entries. Results The completeness of the SHIR with respect to the coverage of cases treated at the Shenkursk central district hospital was 86%. There were no differences between the registered and the missed injuries by sex, ICD-10 codes, weekday of admission, but there were differences in their distribution by attending physicians. Also, higher proportions of child injuries and injuries in the summer time were among the missed cases. Signs of lower injury severity (different distribution by ICD-10 codes and lower proportion of traffic injuries) were observed among injuries in rural areas which were not covered by the registry because of treatment at rural primary health care units without referrals to the central hospital. Two independent data entries from standard paper injury registration forms showed a 79–99% agreement, depending on the variable considered. Conclusion With consideration of possible insubstantial overestimates of the average injury severity, the SHIR data can be considered sufficiently complete, reliable, and representative of the injury situation in the Shenkursk District. Therefore, SHIR is an adequate evidentiary basis for planning local injury prevention.
This study aimed to investigate associations between the weather conditions and the frequency of medically-treated, non-fatal accidental outdoor fall injuries (AOFIs) in a provincial region of Northwestern Russia. Data on all non-fatal AOFIs that occurred from January 2015 through June 2018 (N = 1125) were extracted from the population-based Shenkursk Injury Registry (SHIR). Associations between the weather conditions and AOFIs were investigated separately for the cold (15 October–14 April) and the warm (15 April–14 October) seasons. Negative binomial regression was used to investigate daily numbers of AOFIs in the cold season, while zero-inflated Poisson regression was used for the warm season. The mean daily number of AOFIs was 1.7 times higher in the cold season compared to the warm season (1.10 vs. 0.65, respectively). The most typical accident mechanism in the cold season was slipping (83%), whereas stepping wrong or stumbling over something was most common (49%) in the warm season. The highest mean daily incidence of AOFIs in the cold season (20.2 per 100,000 population) was observed on days when the ground surface was covered by compact or wet snow, air temperature ranged from −7.0 °C to −0.7 °C, and the amount of precipitation was above 0.4 mm. In the warm season, the highest mean daily incidence (7.0 per 100,000 population) was observed when the air temperature and atmospheric pressure were between 9.0 °C and 15.1 °C and 1003.6 to 1010.9 hPa, respectively. Along with local weather forecasts, broadcasting warnings about the increased risks of outdoor falls may serve as an effective AOFI prevention tool.
Paramount problems of the development of the assessment of population health risks associated with the chemical exposure in Russia are considered on the ground of critical analysis of reports devoted to methodological issues of the risk assessment and guidelines published since 2010. Causes of the lack in progress of risk assessment are discussed. The information of executed research revealed the significant retardation number of Russian publications devoted to the evidence-based health risk assessment compare to worldwide trend. The analysis of publications according to evidence-based health risk assessment in Russia in 1998 - 2012 demonstrated methodical problems to be leading to the underestimation of the real risk to population’s health. There are demonstrated directions in the renewal of methodology and practice of hygienic standardization on the basis of the risk assessment. The comparative analysis of values of uncertainty factors (modifying factors, conversion factors) used for extrapolation and accepted in different countries and organizations was made. The system of extrapolation coefficients of DNEL (Derive No-Effect Level) is presented. The leading principles of modern toxicology and risk assessment based on strict scientific proofs are showed. Criteria of evidence-based toxicology and risk assessment are presented.Among actual problems which demand their decision there are considered: the assessment of combined action in regulatory toxicology; expansion of spheres of the application of health risk assessment methodology; the improvement ofpreparation and certification of experts in the field of health risk assessment; need of check of dispersion models and their replacement by more modern models; the improvement of exposure assessment with taking into account the international requirements; the assessment of regional exposure factors; expansion of atmospheric air monitoring in all the large cities of Russia
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.