The purpose for the June 2012 Use of Workers’ Compensation Data for Occupational Safety and Health Workshop was to explore ways in which workers’ compensation information can be used for public health research and surveillance. Thirty-five poster and platform presentations described studies that utilized workers’ compensation information while exploring limitations of these resources. The workshop proceedings contain summary articles for the presentations plus notes from the discussion groups for the 6 white papers that were drafted for the workshop.
The workshop was co-sponsored by the Bureau of Labor Statistics (BLS), Council of State and Territorial Epidemiologists (CSTE), International Association of Industrial Accident Boards and Commissions (IAIABC), National Council on Compensation Insurance (NCCI), National Institute for Occupational Safety and Health (NIOSH), Occupational Safety and Health Administration (OSHA), and the Washington State Department of Labor and Industries, Safety and Health Assessment for Research and Prevention (SHARP) program.
Source : http://www.cdc.gov/NIOSH/docs/2013-147/pdfs/2013–147.pdf
Despite precautions, mining remains the most hazardous occupation, and coal mining is one of the most dangerous industries for non-fatal occupational accidents. Accidents are complicated events with many factors that affect their formation, and statistical evaluation of accident records can produce valuable information that may prevent such accidents. In this study, a logistic regression analysis method was applied to non-fatal occupational injuries from 1996 to 2009 in an opencast coal mine for Western Lignite Corporation (WLC) of Turkish Coal Enterprises (TKI). The accident records were categorized as occupation, area, reason, age, part of body and lost days, and the SPSS package program was used for statistical analyses. Logistic regression analyses were used to predict the probability of accidents that resulted in greater or less than 3 lost workdays. It is found that the job group with the highest probability of exposure to accidents with greater than 3 lost workdays for non-fatal injuries was the maintenance personnel and workers. The employees were primarily exposed to accidents caused by a mining machine, and the lower and upper extremities have the highest probability of exposure to such risks. Finally, an equation for calculating the probability of exposure to accidents with greater or less than 3 lost workdays was derived. Then, the equation was used to determine the important accident risk factors.
Source : Seyhan Onder, Safety Science, Vol. 59, Nov. 2013, p. 86-92, http://dx.doi.org/10.1016/j.ssci.2013.05.002.
Background Research indicates occupational injuries and diseases are not evenly distributed among workers. We investigated the distribution and characteristics of compensated occupational injuries and diseases requiring medical care in the Finnish farming population. Methods The study population consisted of 93,564 Finnish farmers, spouses, and salaried family members who were covered by the mandatory workers' compensation insurance in 2002. This population had a total of 133,207 occupational injuries and 9,148 occupational diseases over a 26-year period (1982–2008). Results Clustering of claims was observed. Nearly half (47.1%) of the population had no compensated claims while 52.9% had at least one; 50.9% of farmers had one or more injuries and 8.1% had one or more diseases. Ten percent of the population had half of injury cases, and 3% of the population had half of occupational disease cases. Claims frequently involved work tasks related to animal husbandry and repair and maintenance of farm machinery. Injury and disease characteristics (work activity, cause, ICD-10 code) differed between individuals with high and low personal claim rate. Injuries and diseases of the musculoskeletal system had a tendency to reoccur among those with high claim rate. These outcomes were often related to strenuous working motions and postures in labor-intensive animal husbandry. Conclusions Analyses of longitudinal insurance data contributes to better understanding of the long-term risk of occupational injury and disease among farmers. We suggest focusing on recurrent health outcomes and their causes among high risk populations could help design more effective interventions in agriculture and other industries.
Source : Karttunen, J. P. and Rautiainen, R. H. (2013), Distribution and characteristics of occupational injuries and diseases among farmers: A retrospective analysis of workers' compensation claims. Am. J. Ind. Med. http://dx.doi.org/10.1002/ajim.22194
Depuis 10 ans, l'analyse des statistiques d'accidents du travail, de trajet et de maladies professionnelles montre des évolutions différenciées selon le sexe. Si en 2010, les accidents du travail des femmes représentent un tiers des 650 000 accidents du travail, leur nombre a augmenté de 23% sur la période 2000-2010, alors que le nombre d'accidents du travail des hommes a diminué de 21%. En 2009, pour la 1ère fois, les accidents de trajet des femmes dépassent ceux des hommes. En 2010, pour la 1ère fois, le nombre de maladies professionnelles déclarées des femmes dépasse celui des hommes.
Les effets du travail sur la santé des femmes et des hommes s'expliquent par des conditions de travail différentes pour les deux populations, qui proviennent de 4 facteurs : la répartition sexuée des emplois et des activités ; le cumul des activités et charges professionnelles et familiales en lien avec des horaires atypiques ; l'invisibilité des pénibilités, risques et violences dans certains emplois ; les critères de mobilité pénalisants pour les parcours. Les femmes au travail sont autant exposées à la pénibilité physique ou mentale que les hommes, mais elle est moins visible : travail en relation constante avec le public, avec des personnes en situation de détresse, travail morcelé et interrompu, isolé, travail répétitif, à la chaîne, avec des postures contraignantes, ou travail permanent sur écran.
Certains problèmes de santé au travail qui se traduisent par de l'absentéisme, du turn-over, du stress, de l'usure sont plus finement diagnostiqués et font l'objet de mesures de prévention plus pertinentes quand l'analyse a intégré les questions de genre.
Source : http://www.insee.fr/fr/insee-statistique-publique/colloques/inegalites/pdf/chappert_presentation.pdf
PURPOSE: This study sought to examine provincial variation in work injuries and to assess whether contextual factors are associated with geographic variation in work injuries. METHODS: Individual-level data from the 2003 and 2005 Canadian Community Health Survey was obtained for a representative sample of 89,541 Canadians aged 15 to 75 years old who reported working in the past 12 months. A multilevel regression model was conducted to identify geographic variation and contextual factors associated with the likelihood of reporting a medically attended work injury, while adjusting for demographic and work variables. RESULTS: Provincial differences in work injuries were observed, even after controlling for other risk factors. Workers in western provinces such as Saskatchewan (adjusted odds ratio [AOR], 1.30; 95% confidence interval [CI], 1.09-1.55), Alberta (AOR, 1.31; 95% CI, 1.13-1.51), and British Columbia (AOR, 1.46; 95% CI, 1.26-1.71) had a higher risk of work injuries compared with Ontario workers. Indicators of area-level material and social deprivation were not associated with work injury risk. CONCLUSIONS: Provincial differences in work injuries suggest that broader factors acting as determinants of work injuries are operating across workplaces at a provincial level. Future research needs to identify the provincial determinants and whether similar large area-level factors are driving work injuries in other countries.
Source : Sara Morassaei, F. Curtis Breslin, Selahadin A. Ibrahim, Peter M. Smith, Cameron A. Mustard, Benjamin C. Amick III, Ketan Shankardass, Jeremy Petch, Annals of Epidemiology, Vol. 23, No 5, May 2013, p. 260-266
http://dx.doi.org/10.1016/j.annepidem.2013.03.008
http://www.sciencedirect.com/science/article/pii/S1047279713000653
Work has long been acknowledged as an important social determinant of health with research being conducted as to how a range of workplace, personal and job characteristics influence occupational health. This report provides an analysis of work related ill-health within the United Kingdom based upon data from the UK Labour Force Survey. Analysis reveals that employment within physically demanding occupations is the key risk factor associated with an individual suffering from a musculoskeletal disorder. Working long hours and employment within managerial, customer service and teaching occupations are associated with an increased risk of suffering from stress, depression and anxiety. Reported levels of ill-health are higher amongst males, older workers and those in the public sector. Despite these findings, downward trends in rates of work related ill-health cannot be explained by changes in the observable characteristics of people and their jobs as recorded by the LFS. The inability to explain observed trends may relate to the absence of career history data within the LFS or the omission of questions about certain characteristics of people's jobs that are known to effect health. Such data is included within the longitudinal Understanding Society survey. It is recommended that the feasibility of including additional questions in this survey should be investigated.
Source : http://www.hse.gov.uk/research/rrpdf/rr953.pdf
The impact of work on health is of major importance to Government policy makers, employers and employees alike. Thus, it is important to be able to monitor the incidence and change in incidence of work-related ill-health (WRIH) over time. One (national) source of information relating to WRIH in the UK is the Self-reported Work-related Illness and Injury (SWI) survey which has been included as an annual module in the Labour Force Survey (LFS) since 2003/04. Earlier versions were run in 1990, 1995 and 2001/02. However, the Health and Safety Executive (HSE) acknowledges the limitations of the SWI data and, in particular, the possibility that over or under attribution to work may be a factor in its estimates. Furthermore, an expert workshop convened by the HSE in February 2009 concluded that the HSE should identify preferred data sources for different categories of WRIH, taking into account their respective strengths and weaknesses.
Source : http://www.hse.gov.uk/research/rrpdf/rr954.pdf
Since the early 1990s, the time on benefits has been increasing for Ontario workers' compensation claims. In particular, over the last decade there has been a notable increase in the number of total compensated days per lost-time claim and an increase in the rate of claims remaining active and open for extended periods of time. This trend is in contrast to the trend of declining claim rates experienced over much of the 1990s.
This plenary profiles a study that investigated how Ontario workers' compensation claimants from different time periods fared in terms of labour-market earnings recovery. More specifically, this study investigated the labour-market earning patterns of Ontario workers' compensation long-term disability claimants from three different time periods and receiving benefits under three different programs. The study provides insights into the individual and contextual factors that contribute to labour-market engagement and earnings recovery.
Source : http://www.iwh.on.ca/system/files/plenaries/2013-04-02_etompa.pdf
Safe Work Australia has released its first report on work-related mental stress and its associated costs based on an analysis of Australian workers' compensation claims data from 2008-09 to 2010-11. The report includes comparisons of rates of mental stress claims across industry sectors and occupations for male and female workers but does not distinguish between public and private sector workers.
The report shows the highest rates of mental stress claims were by workers with high levels of responsibility for the wellbeing and safety of others or workers at risk in dangerous situations. These jobs include train drivers and assistants, police officers, prison officers, ambulance officers and paramedics.
Other key findings of the report are:
• mental stress claims are the most expensive form of workers' compensation claim. These claims result in workers often being absent from work for extended periods.
• mental stress claims are predominantly made by women
• more professionals make claims for mental stress than any other occupation. A third of these claims are due to work pressure
• the hazards resulting in mental stress claims vary with worker age. Younger workers are more likely to make claims as a result of exposure to workplace or occupational violence. Work pressure is the main cause of mental stress claims for older workers
• women were around three times more likely than men to make a workers' compensation claim as a result of work-related harassment or workplace bullying, and
• work pressure was stated as the cause of the majority of claims in industries with the highest claim rates.
Source : http://www.safeworkaustralia.gov.au/sites/SWA/about/Publications/Documents/769/The-Incidence-Accepted-WC-Claims-Mental-Stress-Australia.pdf
Objective: Association between medical cost from workplace injuries and aging and its effect modification by sex were examined. Methods: Medical costs reimbursed from workers' compensation between 2003 and 2009 were used. A multiple zero-truncated negative binomial regression predicted percent changes in medical cost. Cubic regression spline smoothers tested effect modification. Results: Reimbursed medical costs comprised 3452 claims. Medical costs increased with aging; however, the trends differ by sex. Medical cost increase after 10 years of age increase was 27% among men (95% CI = 17% to 38%) and was 15% among women (12% to 22%). Medical cost spent among the youngest women was higher than that for the oldest men. The ratio of cost between the oldest women and oldest men was double. Conclusions: Prioritizing controls for injuries in hospitals should focus on women and aging workers.
Source : Kim H, Moline J, Dropkin. Aging, sex, and cost of medical treatment. J. J. Occup. Environ. Med. 2013; ePub. http://dx.doi.org/10.1097/JOM.0b013e318289eeda
Le présent numéro
•Décrit les tendances actuelles et les multiples facteurs sur l’incidence des maladies professionnelles
•Examine l’impact des maladies professionnelles sur les systèmes de sécurité sociale
•Plaide en faveur d’une approche globale de la prévention
•Met en évidence le rôle de la sécurité sociale dans la prévention des risques, la promotion de la santé et le retour au travail
Source : AISS, Perspectives en politique sociale 28, 2013. http://www.issa.int/fre/content/download/182273/3639121/file/1-SPH-28.pdf
La Journée Mondiale de la Santé et de la Sécurité au Travail le 28 avril a été l’occasion de rappeler des faits et chiffres inquiétants sur la santé et de la sécurité au travail dans le monde. Dans le monde, toutes les 15 secondes, un travailleur meurt d’une maladie ou d’un accident lié au travail. Toutes les 15 secondes, ce sont 151 travailleurs qui sont victimes d’un accident du travail.
L’OIT a dédié cette année la Journée mondiale de la Santé et de la Sécurité au travail à la prévention des maladies professionnelles.
Les maladies professionnelles restent en effet la principale cause de décès liés au travail à travers le monde. Les maladies professionnelles bien connues comme les pneumoconioses et les maladies imputables à l’amiante demeurent courantes tandis que des maladies professionnelles relativement nouvelles comme les troubles psychiques ou les troubles musculo-squelettiques (TMS) sont en plein essor.
Selon les statistiques de l’OIT, chaque année 2,02 millions de décès soit 5 500 par jour sont dus à différents types de maladies liés au travail.
Les pays en développement où une grande partie de la population exerce des activités dangereuses comme l’agriculture, le bâtiment, la pêche et les mines, sont particulièrement concernés par les risques professionnels pesant sur les travailleurs.
L’OIT dénonce une situation inacceptable et appelle gouvernements, employeurs et travailleurs à collaborer au développement et à la mise en œuvre de politiques et de stratégies nationales ayant pour but de prévenir les maladies professionnelles.
Source : http://www.preventica.com/actu-enbref-journee-mondiale-sante-securite-travail-oit-1290413.php
Workers in the commercial fishing industry have the highest occupational fatality rate in the United States, nearly 35 times higher in 2011 than the rate for all U.S. workers. During 2000-2009, a total of 504 fishermen were killed in the U.S. fishing industry, most commonly by drowning as a result of vessels sinking (51%) and falls overboard (30%). Another 10% of fatalities (51 deaths) were caused by injuries sustained onboard vessels, such as entanglement in machinery. This type of fatality occurred most often in the Gulf of Mexico. To analyze fatal and nonfatal injuries involving deck winches in the Southern shrimp fleet during 2000-2011, CDC obtained data from its Commercial Fishing Incident Database and the U.S. Coast Guard. Injury patterns were examined, and risk ratios (RRs) were calculated to compare the probability of fatal outcomes from incidents involving different winch mechanisms and operating situations. During 2000-2011, eight fatal and 27 work-related injuries involving deck winches occurred in the Southern shrimp fleet, which operates in the Gulf of Mexico and off the Atlantic coast from Florida to North Carolina.* Injuries involving the winch drum had a higher risk for fatal outcomes compared with injuries involving the winch cathead. Fatal outcomes also were associated with being alone on the vessel and being alone on deck. Interventions to prevent deck winch injuries might include guarding of winch drums and catheads, avoiding working alone on deck, not wearing baggy clothing, and improvements to cable winding guides. Training of deckhands in first aid and emergency procedures might reduce the severity of injuries when entanglements occur
Source : MMWR Morb. Mortal. Wkly. Rep. 2013; 62(9): 157-160. http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6209a1.htm?s_cid=mm6209a1_w
A working fishing vessel at sea is an elaborate collection of interacting accident potentials, barely controlled. Even the deck underfoot betrays the unwary, as can every other aspect of the normal daily grind onboard, as fishers ply their trade in weather foul and fair. All elements of the vessel at sea conspire in making this the most dangerous and difficult of all professional callings, an inexplicable calling where life and limb are continually at risk.
This article is based on an examination of reported occupational injuries from the Norwegian fishing fleet from 2000 to 2011. The aim is the determination of important characteristics and traits in the statistics, which may be used to focus and further preventative measures to be applied within this fleet. The results indicate that the current intervention programs and improvement measures have to date made a significant impact on injury levels within the fleet. This study has borne witness to a reduction in injury numbers and incident rates year on year for the past 12 years. It identifies the trawler fleet as the seat of the highest incident rates of injury occurrence, while the small coastal fleet had the lowest reported numbers of injuries. Under-reporting of minor injuries is revealed as a problem in the current reporting system of fisher injuries while the manner, location and body regions of reported injuries are also investigated. These findings lead to a discussion on the future requirements for the Norwegian fleet for further injury reduction and improved reporting practices.
Source : McGuinness, E., Aasjord, H.L., Utne, I.B., Holmen, I.M. Injuries in the commercial fishing fleet of Norway 2000–2011, Safety Science, Vol. 57, August 2013, p. 82-99. http://dx.doi.org/10.1016/j.ssci.2013.01.008,
The Work-related injuries and fatalities on Australian farms report released by Safe Work Australia today has found one in six workers killed in Australia were working on a farm. The report monitored statistics over an eight year period until 30 June 2011. While only 3 percent of workers are employed in the agriculture sector, on average 44 farm workers are killed each year and another 17 400 suffer a work-related injury.
Other key findings from the report include:
• Vehicles accounted for nearly three quarters of work-related fatalities on farms.
o In the eight years of the study 93 workers died while using a tractor. Half of these workers were aged 65 years and over one-third of the deaths involved a rollover.
o Aircraft incidents while undertaking tasks such as mustering or crop dusting claimed the lives of 48 workers.
o Quad bikes were involved in 27 fatalities of which 20 were due to a rollover.
• Almost one-third of work-related fatalities on Australian farms involved workers aged 65 years or over. This is nearly three times the proportion the age group represents of all worker fatalities in Australian workplaces.
• Young farm workers had more hospitalisations for a motorbike or horse-related incident while older workers had more hospitalisations from contact with machinery.
• Only half of Australian agriculture workers are covered by workers' compensation as 46 percent are self-employed. The report showed that nearly one in four workers' compensation claims were due to working with animals, one in five were from working with mobile plant and transport including motorbikes and nearly one in five were from working with non-powered tools and equipment.
Source : http://www.safeworkaustralia.gov.au/sites/swa/about/publications/pages/work-related-injuries-fatalities-australian-farms
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