O33-5 Developing an occupational disease surveillance system: detecting work-related risks through linkage of administrative databases

2016 ◽  
Author(s):  
ill MacLeod ◽  
Chris McLeod ◽  
Alice Peter ◽  
Paul Demers
Keyword(s):  
Occupational Disease ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Administrative Databases ◽  
Work Related ◽  
Disease Surveillance System

scholarly journals Establishing the Occupational Disease Surveillance System (ODSS) for Ontario: a linkage of administrative data

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Jill MacLeod ◽  
Chloe Logar-Henderson ◽  
Chris McLeod ◽  
Alice Peter ◽  
Paul A Demers
Keyword(s):  
Risk Factors ◽  
Occupational Disease ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Population Level ◽  
Work Related ◽  
Related Disease ◽  
Disease Surveillance System ◽  
Related Risk ◽  
Administrative Health Databases

IntroductionWorkplace conditions and exposures are important determinants of health. However, identifying and monitoring population-level trends in work-related disease is challenged by existing data limitations. Administrative health databases capture timely and accurate information about disease diagnoses among the Ontario population, but these data do not include work history. Objectives and ApproachThe Occupational Disease Surveillance System (ODSS), launched in 2017, captures and reports trends in work-related disease in Ontario. A cohort of 2+ million workers was identified from compensation claims (1983-2014). Records were linked through probabilistic and deterministic methods to the Registered Persons Database (1990-2015), and administrative health databases including the Ontario Cancer Registry (1964-2016), hospitalization (2006-2016), ambulatory care (2006-2016) and provincial health insurance plan billing data (1999-2016). Preliminary applications of ODSS have examined risks of 28 cancer sites and 11 non-cancer health conditions. Risks are estimated with Cox proportional hazards models for thousands of industry and occupation groups. ResultsLinkage of existing administrative databases is an efficient approach for examining risk factors for work-related disease at the population level. ODSS can identify groups of workers by industry or occupation that are at increased risk of disease due to known or suspected workplace conditions and risk factors. For example, ODSS detected elevated risk of lung cancer among known at-risk workers employed in mining and quarrying (HR 1.47, 95% CI 1.33-1.61), transport equipment operating (HR 1.39, 95% CI 1.34-1.44), and construction (HR 1.09, 95% CI 1.06-1.13). Exploratory analyses can also detect previously unknown associations between work-related risk factors and disease. For example, although dermatitis and asthma are common occupational diseases, many causative exposures remain unclear. ODSS is currently being used to further explore potential risk factors. Conclusion/ImplicationsTimely information about work-related disease is crucial to support prevention initiatives to protect workers. This novel linkage identifies existing and emerging trends in occupational disease in Ontario. By capturing work-related risk factors, ODSS serves as a model for other provinces to overcome existing gaps in disease surveillance.

Incidence of acute myocardial infarction in the workforce: Findings from the Occupational Disease Surveillance System

2021 ◽  
Vol 64 (5) ◽  
pp. 338-357
Author(s):  
Natalie Troke ◽  
Chloë Logar‐Henderson ◽  
Nathan DeBono ◽  
Mamadou Dakouo ◽  
Selena Hussain ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Occupational Disease ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Disease Surveillance System

scholarly journals Dermatitis among workers in Ontario: results from the Occupational Disease Surveillance System

2019 ◽  
Vol 76 (9) ◽  
pp. 625-631 ◽  
Author(s):  
Sharara Shakik ◽  
Victoria Arrandale ◽  
Dorothy Linn Holness ◽  
Jill S MacLeod ◽  
Christopher B McLeod ◽  
...  
Keyword(s):  
Occupational Disease ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Workplace Safety ◽  
Cohort Entry ◽  
Disease Surveillance System ◽  
Physician Billing ◽  
Cox Proportional Hazard ◽  
Food And Beverage ◽  
Cox Proportional Hazard Models

ObjectivesDermatitis is the most common occupational skin disease, and further evidence is needed regarding preventable risk factors. The Occupational Disease Surveillance System (ODSS) derived from administrative data was used to investigate dermatitis risk among industry and occupation groups in Ontario.MethodsODSS cohort members were identified from Workplace Safety and Insurance Board (WSIB) accepted lost time claims. A case was defined as having ≥2 dermatitis physician billing claims during a 12-month period within 3 years of cohort entry. A 3-year look-back period prior to cohort entry was used to exclude prevalent cases without a WSIB claim. Workers were followed for 3 years or until dermatitis diagnosis, age 65 years, emigration, death or end of follow-up (31 December 2016), whichever occurred first. Age-adjusted and sex-adjusted Cox proportional hazard models estimated HRs and 95% CIs. The risk of dermatitis was explored using a job exposure matrix that identifies exposure to asthmagens, many of which also cause contact dermatitis.ResultsAmong 597 401 workers, 23 843 cases of new-onset dermatitis were identified. Expected elevated risks were observed among several groups including furniture and fixture industries, food and beverage preparation and chemicals, petroleum, rubber, plastic and related materials processing occupations and workers exposed to metal working fluids and organic solvents. Decreased risk was observed among farmers, nurses and construction industries, and occupations exposed to latex and indoor cleaning products.ConclusionsODSS can contribute to occupational dermatitis surveillance in Ontario by identifying occupational groups at risk of dermatitis that can then be prioritised for prevention activities.

scholarly journals LO021: Use of health services among non-institutionalized frail elderly with fracture: preliminary results

CJEM ◽  
2016 ◽  
Vol 18 (S1) ◽  
pp. S37-S37
Author(s):  
V. Fillion ◽  
S. Jean ◽  
M. Sirois ◽  
P. Gamache
Keyword(s):  
Chronic Disease ◽  
General Practitioner ◽  
Health Services ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Administrative Databases ◽  
Assessment Index ◽  
Preliminary Results ◽  
Disease Surveillance System ◽  
Use Of Health Services

Introduction: Frail older adults experience an increased risk of a number of adverse health outcomes such as comorbidity, disability, dependency, institutionalization, falls, fractures, hospitalization, and mortality. Identification of frail adults is important. The objective of this study is to examine the association between frailty and use of health services (emergency, general practitioner, hospitalization) prior to and following a visit for a fracture in non-institutionalized seniors. Methods: This study is a population-based cohort build from the Quebec Integrated Chronic Disease Surveillance System, an innovative chronic disease surveillance system linking five health care administrative databases. Algorithms using data from this system are accurate and reliable for identifying fractures. The sample includes 179,734 seniors ≥ 65 years old, non-institutionalized in the year before the fracture. Their frailty status was measured using the elderly risk assessment index. Poisson regression models were used to compare use of health services (emergency, general practitioner, hospitalization) 1 year before and 1 year after a visit for a fracture (adjusting for age, sex, comorbidities, social deprivation, material deprivation and site of fracture). Results: Overall, preliminary results show that the use of health services increased significantly in the year following the fracture in frail non-institutionalized elderly vs the non-frail one (p < 0.05). Conclusion: This study suggests that frail seniors with a fracture require more health services after their incident fracture. Furthermore, using a frailty assessment index in health administrative databases can help identify seniors that are at high risk of needing more health services and, therefore, improve their care.

scholarly journals The Canadian Chronic Disease Surveillance System: A model for collaborative surveillance

2018 ◽  
Vol 3 (3) ◽  
Author(s):  
Lisa Lix ◽  
James Ayles ◽  
Sharon Bartholomew ◽  
Charmaine Cooke ◽  
Joellyn Ellison ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Health Agency ◽  
Population Based ◽  
Population Characteristics ◽  
Administrative Databases ◽  
Distributed Model ◽  
Case Definitions ◽  
Disease Surveillance System

Chronic diseases have a major impact on populations and healthcare systems worldwide. Administrative health data are an ideal resource for chronic disease surveillance because they are population-based and routinely collected. For multi-jurisdictional surveillance, a distributed model is advantageous because it does not require individual-level data to be shared across jurisdictional boundaries. Our objective is to describe the process, structure, benefits, and challenges of a distributed model for chronic disease surveillance across all Canadian provinces and territories (P/Ts) using linked administrative data. The Public Health Agency of Canada (PHAC) established the Canadian Chronic Disease Surveillance System (CCDSS) in 2009 to facilitate standardized, national estimates of chronic disease prevalence, incidence, and outcomes. The CCDSS primarily relies on linked health insurance registration files, physician billing claims, and hospital discharge abstracts. Standardized case definitions and common analytic protocols are applied to the data for each P/T; aggregate data are shared with PHAC and summarized for reports and open access data initiatives. Advantages of this distributed model include: it uses the rich data resources available in all P/Ts; it supports chronic disease surveillance capacity building in all P/Ts; and changes in surveillance methodology can be easily developed by PHAC and implemented by the P/Ts. However, there are challenges: heterogeneity in administrative databases across jurisdictions and changes in data quality over time threaten the production of standardized disease estimates; a limited set of databases are common to all P/Ts, which hinders potential CCDSS expansion; and there is a need to balance comprehensive reporting with P/T disclosure requirements to protect privacy. The CCDSS distributed model for chronic disease surveillance has been successfully implemented and sustained by PHAC and its P/T partners. Many lessons have been learned about national surveillance involving jurisdictions that are heterogeneous with respect to healthcare databases, expertise and analytical capacity, population characteristics, and priorities.

Adult Asthma among Workers in Ontario. Results from the Occupational Disease Surveillance System

2019 ◽  
Vol 16 (5) ◽  
pp. 563-571 ◽  
Author(s):  
Chloë Logar-Henderson ◽  
Jill S. MacLeod ◽  
Victoria H. Arrandale ◽  
D. Linn Holness ◽  
Christopher B. McLeod ◽  
...  
Keyword(s):  
Occupational Disease ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Adult Asthma ◽  
Disease Surveillance System

scholarly journals Prostate cancer risk by occupation in the Occupational Disease Surveillance System (ODSS) in Ontario, Canada

2019 ◽  
Vol 39 (5) ◽  
pp. 178-186 ◽  
Author(s):  
Jeavana Sritharan ◽  
Jill S. MacLeod ◽  
Christopher B. McLeod ◽  
Alice Peter ◽  
Paul A. Demers
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Cancer Risk ◽  
Occupational Disease ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Prostate Cancer Risk ◽  
Cancer Information ◽  
Occupational Risk Factors ◽  
Disease Surveillance System

Introduction Previous Canadian epidemiologic studies have identified associations between occupations and prostate cancer risk, though evidence is limited. However, there are no well-established preventable risk factors for prostate cancer, which warrants the need for further investigation into occupational factors to strengthen existing evidence. This study uses occupation and prostate cancer information from a large surveillance cohort in Ontario that linked workers’ compensation claim data to administrative health databases. Methods Occupations were examined using the Occupational Disease Surveillance System (ODSS). ODSS included 1 231 177 male workers for the 1983 to 2015 period, whose records were linked to the Ontario Cancer Registry (OCR) in order to identify and follow up on prostate cancer diagnoses. Cox proportional hazard models were used to calculate age-adjusted hazard ratios and 95% CI to estimate the risk of prostate cancer by occupation group. Results A total of 34 997 prostate cancer cases were diagnosed among workers in ODSS. Overall, elevated prostate cancer risk was observed for men employed in man¬agement/administration (HR 2.17, 95% CI = 1.98–2.38), teaching (HR 1.99, 95% CI = 1.79–2.21), transportation (HR 1.20, 95% CI = 1.16–1.24), construction (HR 1.09, 95% CI = 1.06–1.12), firefighting (HR 1.62, 95% CI = 1.47–1.78), and police work (HR 1.20, 95% CI = 1.10–1.32). Inconsistent findings were observed for clerical and farm¬ing occupations. Conclusion Associations observed in white collar, construction, transportation, and protective services occupations were consistent with previous Canadian studies. Findings emphasize the need to assess job-specific exposures, sedentary behaviour, psy¬chological stress, and shift work. Understanding specific occupational risk factors can lead to better understanding of prostate cancer etiology and improve prevention strategies.

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