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ObjectiveTo analyze the characteristics of hospitalized unintentional injuries and to provide evidence for formulating injury prevention and control strategies. MethodsDescriptive analysis was conducted on injury information of unintentional injury cases reported from 22 monitoring hospitals during 2017 to 2020 by injury surveillance system. The composition ratio index was used to analyze and explore the distribution（population， time and place）of injuries related to different causes. The disease burden was described by the length of hospital stay and hospitalization cost. ResultsA total of 32 716 hospitalized unintentional injury cases were reported from 22 monitoring hospitals. The male to female ratio was 1.18∶1. The majority of males were aged 15‒64 years and the majority of females were aged over 45 years. The top three causes of injuries were falls， traffic-related and blunt injury. Injuries occurred more frequently in July and August. 42.81% of the cases occurred at home. Fracture cases accounted for 75.79%. The median length of hospital stay was 10 days and the median cost was 15 431.50 yuan. The share of both falls and non-motor vehicle accidents increased year by year. ConclusionFalls among elderly people and road traffic injuries are the main causes of hospitalized unintentional injuries， and sharp or blunt instrument injuries are more severe in the male workforce. Considering high direct and indirect economic losses from injuries， steps should to be taken to improve injury surveillance system and to implement injury prevention and control strategies targeted on key groups and key injuries.
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Background The severity of occupational injury in countries such as the United Kingdom, the United States, and Germany is usually analyzed using lost workdays, but in existing occupational injury surveillance research in China, the application of this index is rare. Objective To evaluate the application value of lost workdays in non-fatal occupational injury surveillance, and provide a reference for the construction of occupational injury surveillance index system. Methods The public data of European Statistics on Accidents at Work (ESAW) from 2010 to 2019 on non-fatal injury accidents in 27 member states of the European Union were used. Non-fatal occupational injury is defined as an injury event during occupational activities or at work resulting a victim's absence from work for ≥4 d. According to the European Statistics on Accidents at Work-Summary methodology, the lost workdays were divided into 8 categories (4-6 d, 7-13 d, 14-20 d, 21-30 d, 31-91 d, 92-182 d, 183 d and above, and unknown). Annual percentage change (APC) and the average annual percentage change (AAPC) were used to evaluate the overall trend changes in the incidence rate of non-fatal occupational injury accidents in different lost workdays from 2010 to 2019, and the non-fatal occupational injury accidents in key industries. The characteristics of the occurrence of non-fatal occupational injuries were analyzed in conjunction with the changes in non-fatal occupational injuries in different lost workdays in the industry. Results From 2010 to 2019, the overall incidence of non-fatal occupational injury accidents in the European Union showed a downward trend, and the AAPC was −1.0% (P<0.05). The accident rates of lost workdays of 4-6 d and 92-182 d showed an upward trend, and the AAPC were 7.9% and 5.8% respectively (P<0.05). The average annual accident rates of non-fatal occupational injuries (≥4 d) in Categories C (manufacturing industry), E (water supply, sewage treatment, waste management and remediation), and F (construction industry) showed a linear downward trend, and the AAPC were −3.0%, −2.5%, and −1.5%, respectively (P<0.05). However, among them, the rate of non-fatal occupational injury accidents with 92-182 d of lost workdays in the manufacturing industry showed a significant upward trend, with an AAPC of 3.7% (P<0.001). Conclusion Using lost workdays combined with APC and AAPC by Join-point linear regression analysis can measure the severity and trend changes of non-fatal occupational injury accidents in different industries and different lost workdays. This indicator has an important practical significance in evaluating the effectiveness of occupational injury prevention and control strategies adopted by countries and enterprises.
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Objective To analyze the causes and epidemiological characteristics of injury in Hunan Province, so as provide scientific basis for the development of intervention measures of injury. Methods The Excel 2007 software and SPSS 18.0 software were used to organize and analyze the injury surveillance system data. Results A total of 107 754 effective cases were collected in three years, and the male-female ratio was 1.65:1. The top three causes of injury were falls(36.0%), motor vehicle accident (20.6%) and sharp knife injury (11.8%). The locations of injuries were mainly roads (30.9%) and homes (28.3%). The top three activities at the time of injury were leisure activities (24.7%), driving (17.6%) and work (16.4%). 93.2% of injury was unintentional injury, and the degree of injury was mainly mild injury (74.3%). Conclusions The number of injuries is increasing year by year. The number of male injuries is more than that of females. Systematic research and intervention measures should focus on falls and motor vehicle accident .
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PURPOSE@#Child injuries are a global public health problem and injury surveillance systems (ISS) can be beneficial by providing timely data. However, ISS implementation has challenges. Opinions of stakeholders of ISS implementation barriers and facilitators are a good source to understand this phenomenon. The aim of this study is to investigate barriers and facilitators of implementing ISS in Iran.@*METHODS@#This is a qualitative study. Data were gathered through interviews with 14 experts in the field of child injury and prevention from Iranian Ministry of Health and Medical Education (MOHME), medical universities, pediatrics hospitals, general hospitals and health houses during January 2017 to September 2017. Data collection and analysis continued until data saturation. Data were analyzed using content analysis through identifying meaning units.@*RESULTS@#Barriers were classified in three main categories and nine subcategories including management barriers (including performance, coordination and cooperation, supervision and attitude), weakness in data capture and usage (including data collection, data recording and data dissemination) and resource limitation (including human and financial resources). Facilitators identified in three areas of policy making (including empowerment and attitude), management (including organization, function and cooperation and coordination) and data recording and usage (including data collection/distribution and data recording).@*CONCLUSION@#The most important barrier is lack of national policy in child injury prevention. The most important facilitator is improving MOHME function through passing supportive regulations. Effective data usage and dissemination of information to those requiring data for policy making can help reduce child injuries. Coalition of stakeholders helps overcome existing barriers.
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Objective@#To learn the characteristics of injury cases caused by animals in Wenzhou and to provide the reference for injury prevention.@*Methods@#We collected the data of injury cases caused by animals in six sentinel hospitals in Wenzhou from 2016 to 2018,and analyzed the animal species,the severity and the location of injury. We conducted circular distribution method for the seasonal distribution features of injury cases. @*Results@#There were 3 743 cases caused by animals in Wenzhou from 2016 to 2018,with 2 045（54.64%）males and 1 698（45.36%）females. About 43.68%（1 635）of cases were 15-44 years old. About 31.66%（1 185）of cases were students and preschool children. There were 2 445 cases（65.32%）caused by dog and 3 212 cases（85.81%）occurred at home. The results of circular distribution analysis showed that the third quarter of a year was the peak time of injuries caused by animals（Z=251.32,P<0.05）,with 1 342 cases accounting for 35.85%. @*Conclusion@#Most injury cases in Wenzhou caused by animals are caused by dogs and occur at home in summer,affecting children and young adults.
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<p><b>PURPOSE</b>The administrative data from trauma centers could serve as potential sources of invaluable information while studying epidemiologic features of car accidents. In this cross-sectional analysis of Shahid Rajaee hospital administrative data, we aimed to evaluate patients injured in car accidents in terms of age, gender, injury severity, injured body regions and hospitalization outcome in the recent four years (2011-2014).</p><p><b>METHODS</b>The hospital registry was accessed at Shiraz Trauma Research Center (Shiraz, Iran) and the admission's unit data were merged with the information gathered upon discharge. A total number of 27,222 car accident patients aged over 15 years with International Classification of Diseases 10th revision (ICD-10) external causes of injury codes (V40.9-V49.9) were analyzed. Injury severity score and injured body regions were determined based on converting ICD-10 injury codes to Abbreviated Injury Scale (AIS-98) severity codes using a domestically developed electronic algorithm. A binary logistic regression model was applied to the data to examine the contribution of all independent variables to in-hospital mortality.</p><p><b>RESULTS</b>Men accounted for 68.9% of the injuries and the male to female ratio was 2.2:1. The age of the studied population was (34 ± 15) years, with more than 77.2% of the population located in the 15-45 years old age group. Head and neck was the most commonly injured body region (39.0%) followed by extremities (27.2%). Injury severity score (ISS) was calculated for 13,152 (48.3%) patients, of whom, 80.9% had severity scores less than 9. There were 332 patients (1.2%) admitted to the intensive care units and 422 in-hospital fatalities (1.5%) were recorded during the study period. Age above 65 years [OR = 7.4, 95% CI (5.0-10.9)], ISS above 16 [OR = 9.1, 95% CI (5.5-14.9)], sustaining a thoracic injury [OR = 7.4, 95% CI (4.6-11.9)] and head injury [OR = 4.9, 95% CI (3.1-7.6)] were the most important independent predictors of death following car accidents.</p><p><b>CONCLUSION</b>Hospital administrative databases of this hospital could be used as reliable sources of information in providing epidemiologic reports of car accidents in terms of severity and outcomes. Improving the quality of recordings at hospital databases is an important initial step towards more comprehensive injury surveillance in Fars, Iran.</p>
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Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Accidents, Traffic , Automobile Driving , Cross-Sectional Studies , Hospital Mortality , Injury Severity Score , Iran , Epidemiology , Logistic Models , Registries , Wounds and Injuries , EpidemiologyABSTRACT
Objective To understand the epidemiological characteristics of product harm cases in 32 hospitals in 11 areas in China from 2012 to 2014 and provide the basic data to support for product-specific survey,product harm early warning and the assessment of product safety.Methods The descriptive epidemiologic analysis was conducted by using the surveillance data of product harm collected from 32 hospitals in 11 areas in China during 2012-2014.Results A total of 208 784 product harm cases were reported in the 32 hospitals during 2012-2014,accounting for 19.50％ of total harm cases during the same period.A total of 222 401 cases (times) of product harm were reported.For all the product harms,the top five products causing harms were transportation equipment except motor vehicle (36.55％),motor vehicle (21.50％),other products (20.84％),furniture (7.21％) and food,medicine and related products (5.18％).Both the case number and times of product harm were higher in males than in females.Males aged 25-44 years might be at greater risk for product harm.Most product harms,i.e.bruise,were caused by blunt force on heads.Conclusions The epidemiologic characteristics of product harm varied with products.It is necessary to take targeted intervention measures to prevent product harm.
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The purpose of this prospective study was to examine the injury characteristics in collegiate women’s lacrosse players. Injury data were collected from the Division I collegiate women’s lacrosse team for a 2-year. The total athlete-hours and athlete-exposures over the 2-year period were 27,621 and 13,437, respectively. The total number of injury was 309 injuries, and the total incidence rate was 11.19 injuries (95% confidence interval, 9.94 — 12.43) per 1000 athlete-hours and 23.00 injuries (20.43 — 25.56) per 1000 athlete-exposures, respectively. The most frequent location of injury was the ankle, followed by the knee and the thigh (20.1%, 14.6%, and 10.7% of all injuries). The proportion of lower extremity injuries accounted for 73.5% of all injuries. The most common types of injury was sprains and muscle cramps/spasms (24.9% and 24.6%, respectively). Overuse, contact (e.g., other players, the cross, and the ball), and non-contact injury was the 3 most common cause of injury (39.1%, 24.9%, and 17.2%, respectively). The primary injury characteristics of collegiate women’s lacrosse players were non-contact ankle sprain. Injury recurrence accounted for 26.1% of all injuries, and the most common period required for the player to return to practice and/or games was between 3 and 7 days. Midfield position player suffered the most number of injuries compared to other position player. An understanding of the injury characteristics of women’s lacrosse players may facilitate the development of the comprehensive strategy for injury prevention which is recommended by the sports medicine community.
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BACKGROUND: Injuries in Jamaica are a major public health problem as demonstrated by a hospital based computerized injury surveillance system established in 1999 that provides a risk profile for injuries. SUBJECTS AND METHOD: Injury data from 2004 were selected to provide an annual profile, as comprehensive injury data were available from nine public hospitals. These nine public hospitals provide care for 70% of the Jamaicans admitted to hospitals annually. RESULTS: Data are presented on unintentional injuries where falls caused 44%, lacerations 27% and accidental blunt injuries were 17% of these. For motor vehicle related injuries, 55% were sustained while commuting by motorcars, 17% while riding motorbikes/bicycles and 16% of those injured were pedestrians. Most violence related injuries were due to fights (76%) with acquaintances (47%) who used sharp objects (40%) to inflict the injury. CONCLUSION: The Jamaica Injury Surveillance System (JISS) data, augmented by data collected on injuries from the health centres and the sentinel surveillance system, give a measure of the magnitude of the impact of injuries on the health services. The JISS provides data on the profile of injuries seen and treated at health facilities in Jamaica. In collaboration with police data and community-based surveys, it can be used to complete the risk profiles for different types of injuries. The data generated at the parish, regional and national levels form the basis for the design and monitoring of prevention programmes, as well as serve to support and evaluate policy, legislative control measures and measures that impact on interventions.
ANTECEDENTES: Las lesiones constituyen un problema importante de la salud pública en Jamaica, como lo demuestra el sistema de vigilancia computarizada de las lesiones, establecido en 1999, el cual proporciona un perfil de riesgo de las lesiones. SUJETOS Y MÉTODO: Datos de lesiones ocurridas en el 2004 fueron seleccionados a fin de ofrecer un perfil anual, ya que se disponía de un conjunto amplio de datos de nueve de los hospitales públicos. Estos nueve hospitales públicos dan atención al 70% de los jamaicanos ingresados a los hospitales cada año. RESULTADOS: Se presentan datos sobre lesiones no intencionales, según los cuales las caídas representaron el 44%, las laceraciones el 27% y las contusiones accidentales el 17%. En cuanto a las lesiones relacionadas con automóviles, el 55% fueron producidas durante la transportación diaria en vehículos automotores a centros de trabajo o estudio; el 17% se produjo en viajes en motos o bicicletas; y el 16% de los heridos fueron peatones. La mayoría de las lesiones relacionadas con la violencia se debieron a peleas (76%) con conocidos (47%) que usaron objetos perforocortantes (40%) para infligir las heridas. CONCLUSIÓN: Los datos del SVLJ, aumentados con los datos sobre lesiones recopilados en los centros de salud y el sistema de vigilancia centinela, dan una medida de la magnitud del impacto de las lesiones en los servicios de salud. El SVLJ proporciona datos sobre el perfil de las lesiones vistas y tratadas en los centros de salud de Jamaica. En colaboración con datos de la policía y encuestas a nivel de la comunidad, el sistema puede ser usado para completar los perfiles de riesgo en relación con diferentes tipos de lesiones. Los datos generados a nivel provincial, regional y nacional constituyen la base para el diseño y monitoreo de los programas de prevención. Asimismo, sirven para apoyar y evaluar políticas, legislaciones, medidas de control así como medidas relativas al impacto de las intervenciones.
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Female , Humans , Male , Population Surveillance , Wounds and Injuries/epidemiology , Data Collection , Forms and Records Control , Hospital Information Systems , Hospitals, Public , Jamaica/epidemiology , Registries , Risk FactorsABSTRACT
Objective To understand the pattern of children injuries treated in hospitals and to provide evidence for its further prevention and control. Methods Data of children cases was descriptively analyzed from the Chinese National Injury Surveillance System (NISS), from 2006 to 2008. Results The incidence rates of boys were twice (2.22,2.15,2.15 ) higher than girls. About one half (50.74% ,49.75% ,49.75%) of them were 5-14 year of age. The main causes were falls (44.14%,45.68%, 47.15% ), RTIs (15.71%, 14.46%, 13.79% ), and blunt force injuries (13.20%, 12.92%,12.40% ). Main locations where the injuries happened were at home (34.96%, 36.86%, 38.84% ),school and public places (24.72%, 19.80%,21.19%) ,and road/street (21.21%, 19.63%, 19.33%). The major injured body parts were head (34.88%, 35.84%, 37.07% ), upper limbs (28.00%, 28.21%,27.81% ) and lower limbs (21.86%, 21.49%, 21.31% ). The majority cases were unintentional (93.01%, 92.66%, 90.58% ), minor (78.50%, 81.20%, 81.52% ) injuries, treated and discharged (82.37%, 85.19%, 84.84% ). There were considerable differences in the distributions of causes,locations, injured body parts, and other contexts depending on age. Conclusion The pattern of children' s injury would include causes, places and other characteristics treated at hospitals from NISS and was related to the age of the injured child which was quite different from the spectrum of death caused by injury. NISS acts as an important source of information on children's injury in China, and can contribute to the prevention and control program on children' s injury.
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Objective To describe the distribution of injuries among the elderly through hospital based National Injury Surveillance System (NISS), and to provide basic information for prevention of injury among the elderly. Methods Data on injuries among the elderly aged 60 years and above was descriptively analyzed from the Chinese NISS from 2006 to 2008. Using the data of NISS from 2006 to 2008, information was collected on those cases who were diagnosed as injuries for the first-time in the site hospitals. Information included demographic characteristics, features of the injury events, and clinical characteristics of injuries. SPSS 16.0 software was used for data analysis.Results The leading causes of injuries among the elderly were: falls, road traffic injuries, and blunt injuries, which were in total accounting for more than 70% of all the injuries among the elderly. Most of the injuries occurred at home (46.25 %, 44.44%, 46.23 % ), on the roads ( 30.95%, 28.51%, 28.61% )and in the public residences (8.89%, 11.57%, 11.25% ). Recreation activates (42.14%, 48.09%,48.59%) ,housework/study (21.15%, 18.21%, 18.15%) and driving (13.67%, 13.80%, 13.56%) were the three major activities when injuries took place. Most injuries among the elderly were unintentional (91.34%, 92.84%, 93.09% ). The leading causes of suicide of the elderly were poisoning and sharp injury. The most common natures of injuries were bruise (36.07%, 38.18%, 38.50% ), fractures (25.65%, 22.47%, 23.77% ), and sharp/bite/open injuries ( 17.19%, 18.21%, 17.46% ) while the most injured part of bodies were head (26.32%, 25.59%, 25.90%), lower limbs (25.74%, 25.70%, 25.26%)and upper limbs (21.01%,21.14%,21.37%). Most of the injuries were minor ones (60.53%,65.09%,63.58% ), and patients mostly went home after treatment (64.11%, 68.53%, 67.99% ). Conclusion According to NISS, the proportion of injuries among the elderly in all injuries kept increasing from 2006 to 2008, while distribution of injuries among the elderly being stable. Falls was the most common injury type for the elderly which also brought along bad outcome. Falls was the priority for injury prevention among the elderly.