Publications by authors named "Letitia Davis"

Background: We aimed at estimating the causal effect of switching from precarious to standard employment on the 6-year and 12-year risk of all-cause mortality among workers aged 20-55 years in Sweden.

Methods: We emulated a series of 12 target trials starting every year between 2005 and 2016 using Swedish register data (n=251 273). We classified precariously employed individuals using a multidimensional approach at baseline as (1) remaining in precarious employment (PE) (73.

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In recent decades, economic crises and political reforms focused on employment flexibilization have increased the use of non-standard employment (NSE). National political and economic contexts determine how employers interact with labour and how the state interacts with labour markets and manages social welfare policies. These factors influence the prevalence of NSE and the level of employment insecurity it creates, but the extent to which a country's policy context mitigates the health influences of NSE is unclear.

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Background: Precarious employment (PE) has been suggested as a risk factor for occupational injuries (OIs). However, several issues such as under-reporting and time at risk pose obstacles to obtaining unbiased estimates of risk OBJECTIVE: To investigate if PE is a risk factor for OIs in Sweden.

Methods: This register-based study included employed workers aged 18-65, resident in Sweden between 2006 and 2014.

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The COVID-19 crisis is a global event that has created and amplified social inequalities, including an already existing and steadily increasing problem of employment and income insecurity and erosion of workplace rights, affecting workers globally. The aim of this exploratory study was to review employment-related determinants of health and health protection during the pandemic, or more specifically, to examine several links between non-standard employment, unemployment, economic, health, and safety outcomes during the COVID-19 pandemic in Sweden, Belgium, Spain, Canada, the United States, and Chile, based on an online survey conducted from November 2020 to June 2021. The study focused on both non-standard workers and unemployed workers and examined worker outcomes in the context of current type and duration of employment arrangements, as well as employment transitions triggered by the COVID-19 crisis.

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Background: Under-reporting of occupational injuries (OIs) among precariously employed workers in Sweden challenges effective surveillance of OIs and targeted preventive measures.

Objective: To estimate the magnitude of under-reporting of OIs among precarious and non-precarious workers in Sweden in 2013.

Methods: Capture-recapture methods were applied using the national OIs register and records from a labour market insurance company.

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Objective: To estimate the magnitude of under-reporting of non-fatal occupational injuries (OIs) by different organisational factors in Sweden for the year 2013.

Methods: Capture-recapture methods were applied using two data sources: (1) the national OI register and (2) records from a labour market insurance company. To assure comparability of data sources, the analysis was restricted to the public sector and private companies with at least 50 employees.

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Background: Exposure to COVID-19 is more likely among certain occupations compared with others. This descriptive study seeks to explore occupational differences in mortality due to COVID-19 among workers in Massachusetts.

Methods: Death certificates of those who died from COVID-19 in Massachusetts between March 1 and July 31, 2020 were collected.

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The world of work is facing an ongoing pandemic and an economic downturn with severe effects worldwide. Workers trapped in precarious employment (PE), both formal and informal, are among those most affected by the COVID-19 pandemic. Here we call attention to at least 5 critical ways that the consequences of the crisis among workers in PE will be felt globally: () PE will increase, () workers in PE will become more precarious, () workers in PE will face unemployment without being officially laid off, () workers in PE will be exposed to serious stressors and dramatic life changes that may lead to a rise in diseases of despair, and () PE might be a factor in deterring the control of or in generating new COVID-19 outbreaks.

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The United States (US) has been among those nations most severely affected by the first-and subsequent-phases of the pandemic of COVID-19, the disease caused by SARS-CoV-2. With only 4% of the worldwide population, the US has seen about 22% of COVID-19 deaths. Despite formidable advantages in resources and expertise, presently the per capita mortality rate is over 585/million, respectively 2.

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Objectives The lack of a common definition for precarious employment (PE) severely hampers the comparison of studies within and between countries, consequently reducing the applicability of research findings. We carried out a systematic review to summarize how PE has been conceptualized and implemented in research and identify the construct's dimensions in order to facilitate guidance on its operationalization. Methods According to PRISMA guidelines, we searched Web of Science and Scopus for publications with variations of PE in the title or abstract.

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Background: Thousands of people in the United States continue to die from opioid overdoses every year. Work-related injuries and other factors associated with work may increase exposure to opioids and, subsequently, opioid-related overdose deaths (OROD). This study sought to determine whether OROD rates differed by industry and occupation and explored work-related factors that might contribute to these differences.

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Introduction: There is uncertainty regarding the trends in occupational injuries (OIs) in Sweden due to a significant and increasing problem with under-reporting to injury registers. Under-reporting, in general, is likely to be exacerbated by the rise in precarious employment (PE), a set of unfavourable employment characteristics that would benefit from formal definition and study. PE and global trends are believed also to affect companies and their commitment to health and safety.

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Objectives: Home care (HC) aides constitute an essential, rapidly growing workforce. Technology advances are enabling complex medical care at home, including procedures requiring the percutaneous use of sharp medical devices, also known as sharps. Objectives were to quantify risks of sharps injuries (SI) in a large HC aide population, compare risks between major occupational groups, and evaluate SI risk factors.

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Introduction: Studies on autocoding injury data have found that machine learning algorithms perform well for categories that occur frequently but often struggle with rare categories. Therefore, manual coding, although resource-intensive, cannot be eliminated. We propose a Bayesian decision support system to autocode a large portion of the data, filter cases for manual review, and assist human coders by presenting them top k prediction choices and a confusion matrix of predictions from Bayesian models.

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Background: Isocyanates remain a leading cause of work-related asthma (WRA).

Methods: Two independent data systems were analyzed for the period 1993-2008: (1) State-based WRA case surveillance data on persons with isocyanate-induced WRA from four states, and (2) Occupational Safety and Health Administration (OSHA) Integrated Management Information System (IMIS) isocyanate air sampling results.

Results: We identified 368 cases of isocyanate-induced WRA from 32 industries and 678 OSHA isocyanate air samples with detectable levels from 31 industries.

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Objectives: In countries with ageing populations, home care (HC) aides are among the fastest growing jobs. There are few quantitative studies of HC occupational safety and health (OSH) conditions. The objectives of this study were to: (1) assess quantitatively the OSH hazards and benefits for a wide range of HC working conditions, and (2) compare OSH experiences of HC aides who are employed via different medical and social services systems in Massachusetts, USA.

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Background: A capture-recapture analysis was performed to estimate the total number of work-related amputations. We examined the impact of misclassification due to differential injury reporting on the estimate of total number of work-related amputations.

Methods: Bureau of Labor Statistics' Survey of Occupational Injuries and Illnesses (SOII) samples and workers' compensation records (WC) were used to estimate the total number of work-related amputations.

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Background: Accurate surveillance of work-related injuries is needed at national and state levels. We used multiple sources for surveillance of work-related amputations, compared findings with Survey of Occupational Injuries and Illnesses (SOII) estimates, and assessed generalizability to national surveillance.

Methods: Three data sources were used to enumerate work-related amputations in Massachusetts, 2007-2008.

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Objective: To characterize work-related asthma by gender.

Methods: We analyzed state-based sentinel surveillance data on confirmed work-related asthma cases collected from California, Massachusetts, Michigan, and New Jersey during 1993-2008. We used Chi-square and Fisher's Exact Test statistics to compare select characteristics between females and males.

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Background: Cancer registries can be used to monitor mesothelioma cases and to identify occupations and industries previously and newly associated with mesothelioma-causing asbestos exposure by using standard registry data on the "usual" occupation and industry of the case.

Methods: We used the National Institute for Occupational Safety and Health's Standardized Occupational Industry Coding Software to code 564 mesothelioma cases for occupation and 543 for industry of the 1,424 incident mesothelioma in the Massachusetts Cancer Registry from 1988 to 2003. Additionally, we coded the occupation and industry of 80,184 comparison cancer cases (35% of comparison cases in our database).

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Background: Nearly one of every three workers in the United States is low-income. Low-income populations have a lower life expectancy and greater rates of chronic diseases compared to those with higher incomes. Low- income workers face hazards in their workplaces as well as in their communities.

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