Does Size Count? Incidence and Reporting of Occupational Disease by Size of Company Tim Morse, Ph.D. ErgoCenter UConn Health Center.

Slides:



Advertisements
Similar presentations
How many teen workers are injured each year in Connecticut? A review of teen work-related injury and illness data from various sources Deborah Pease, MPH.
Advertisements

The Demographics of Employment, Unemployment and Labor Force Participation in Maine Educational attainment, age, gender, industry & occupation Glenn Mills.
National Injury and Fatality Data for Aging Farmers John R. Myers Larry A. Layne Suzanne M. Marsh National Institute for Occupational Safety and Health.
Intimate Partner Violence (IPV) and Women’s Health during Pregnancy Findings from the Rhode Island PRAMS Hanna Kim, Samara Viner-Brown, Rachel.
Hispanic Contractor’s Association de San Antonio/OSHA.
"A Call to Action: Investigating Systematic, Social, and Emotional Predictors of Higher Educational Attainment Among Foster Care Youths"
26a. Average hourly wage in construction, by age group, 2010 (Production workers)
Meet the Author Webcast Public Health Reports Meet the Author Webcast Socioeconomic Status and Risk of Diabetes-Related Morality in the United States With.
Exploring Multiple Dimensions of Asthma Disparities Using the Behavioral Risk Factor Surveillance System Kirsti Bocskay, PhD, MPH Office of Epidemiology.
Occupational Segregation and Racial Health Disparities K Chung-Bridges, C Muntaner, LE Fleming, DJ Lee, KL Arheart, WG LeBlanc, AJ Caban Martinez, SL Christ,
Concurrent Tobacco Use: A Study of Socio-demographic Correlates Nasir Mushtaq, MPH Laura A Beebe, PhD University of Oklahoma Health Sciences Center.
Ken Jacobs UC Berkeley Center for Labor Research and Education February 2012 Retirement Age and Inequality.
CHILDREN’S MENTAL HEALTH PROBLEMS IN RHODE ISLAND: THE PREVALENCE AND RISK FACTORS Hanna Kim, PhD and Samara Viner-Brown, MS Rhode Island Department of.
NCHS Data – Strengths and Weaknesses from the NHLBI Perspective Paul Sorlie, Ph.D. Chief, Epidemiology Branch National Heart, Lung, and Blood Institute.
Chapter 6 homework Don’t forget homework due Friday… Questions 6, 10, 14, and 16.
This project is supported by a grant from the National Institute of Occupational Safety and Health Grant #R01-OH , “Health Disparities among Healthcare.
Safety and Health in the Workplace
Health Insurance Coverage of California’s Working Latinos Howard Greenwald Suzanne O'Keefe Mark DiCamillo University of Southern California California.
1 Health Status and The Retirement Decision Among the Early-Retirement-Age Population Shailesh Bhandari Economist Labor Force Statistics Branch Housing.
PDII Survey Conducted by Westat in English and Spanish Start with CPS Autor & Handel, Blinder, Kleiner, Krueger, Blau & Kahn, Hall, Freeland helped design.
1. Number of Hispanic employees in construction, selected years,
Injuries & Fatalities In Wyoming WOGISA Quarterly Meeting, Rock Springs, July 13, 2011 Timothy Ryan, State Occupational Epidemiologist, Office of the Governor.
STATISTICSSTATISTIQUECANADA Aboriginal Labour Force Survey Province of Alberta.
Trauma, Posttraumatic Stress Disorder, and Substance Use Disorders Naomi Breslau, Ph.D. Department of Epidemiology.
Cultural Difference: Investment Attitudes and Behaviors of High Income Americans Tahira K. Hira – Iowa State University
1 Is Managed Care Superior to Traditional Fee-For-Service among HIV-Infected Beneficiaries of Medicaid? David Zingmond, MD, PhD UCLA Division of General.
CONCLUSIONS FROM THE WORKSHOPS. Workshop 1 MSDs in figures: data and statistics Conclusions Rapporteur: Antti Karjalainen European Commission DG ESTAT.
 Health insurance is a significant part of the Vietnamese health care system.  The percentage of people who had health insurance in 2007 was 49% and.
OVERVIEW OF THE MANUFACTURING SECTOR RELEVANT ASPECTS OF OCCUPATIONAL HEALTH AND SAFETY IN THE AUTOMOTIVE INDUSTRY MR. ENRIQUE MACIN PANIAGUA June 16,
Jacqueline Wilson Lucas, B.A., MPH Renee Gindi, Ph.D. Division of Health Interview Statistics Presented at the 2012 National Conference on Health Statistics.
Occupational Safety & Health The nature & extent of workplace safety and health problems The organization and functions of OSHA Accident behavior Safety.
Amanda Tran, MPH, Colorado School of Public Health Occupational Health and Safety Surveillance Program, Colorado Department of Public Health and Environment.
Northwest Connecticut CEDS Region Demographic & Economic Analyses May 2012.
SPALW Membership Call Agenda Call to Order Roll Call Overlapping Vulnerabilities ASSE in Action OSHA Latino Workforce Initiatives SPALW in Action Contact.
Trauma exposure and chronic physical conditions in South Africa Lukoye Atwoli MBChB, MMed Psych, PhD Associate Professor of Psychiatry and Dean Moi University.
Labor Market Information on Unemployment in Pennsylvania Tim McElhinny James Martini Center for Workforce Information & Analysis.
Employer-Sponsored Health Insurance for Early Retirees: Impacts on Retirement, Health and Health Care Erin Strumpf, Ph.D. McGill University AcademyHealth.
1 Trends in Health Insurance Coverage in US Worker Groups: The National Health Interview Survey (NHIS) OBJECTIVES/BACKGROUND  Many American workers and.
Reducing Occupational Health Disparities in Massachusetts: From Data to Action Letitia Davis, ScD, Kerry Souza, MPH Occupational Health Surveillance Program.
Lead Exposure Among Females of Childbearing Age — United States, 2004 What Does ABLES Tell Us? Sara Luckhaupt, MD, MPH Surveillance Branch CDC, NIOSH,
Siroli Lily: State Flower of Manipur. Cross- sectional Study Subodh S Gupta MGIMS, Sewagram.
Unit 7 : P3 Explain patterns and trends in health and illness among
Comparative Analyses of Three Measures of Concordance between Current and Longest Held Jobs Orlando Gómez-Marín MSc PhD, Lora E. Fleming MD PhD, William.
Acute and Chronic Disability Among US Farmers and Pesticide Applicators: The National Health Interview Survey O Gómez-Marín, D Zheng, W LeBlanc, D Lee,
Introduction Psychological factors have been implicated to be etiologies for idiopathic environmental illness (IEI) in many studies. No study has ever.
Comparing safety climate factors as predictors of work- related driving behavior Safety Science 37 (2006) Andrew R. Wills, Barry Watson, Herbert.
Fatal work injury counts, SOURCE: US Department of Labor, Bureau of Labor Statistics, Census of Fatal Occupational Injuries, 2000 Number of.
1 Public Library Use in Oregon Results from the 2006 Oregon Population Survey Oregon State Library March 2007.
Research into the Completeness of the Survey of Occupational Injuries and Illnesses William Wiatrowski Bureau of Labor Statistics June 10, 2013.
Racial disparities in hospital admissions and surgical management of children with appendicitis T. M. Bird Child Health Services Research Group Department.
Health Indicators among Young Adult Workers Alberto Caban-Martinez, MPH, CPH Presenting for the University of Miami Miller School of Medicine Occupational.
Evaluation of the New Jersey Silicosis Surveillance System, Jessie Gleason, MSPH CDC/CSTE Applied Epidemiology Fellow New Jersey Department of.
KINE 4565 The burden of injury and sources of injury data.
Focus Area 20: Occupational Safety and Health Progress Review February 21, 2008.
Health and Safety Executive Health and Safety Statistics and the SME perspective Kate Sweeney, Chief Statistician.
Disability, Cigarette Smoking And Health-Related Quality Of Life: NYS Adult Tobacco Survey Harlan R. Juster, PhD Larry L. Steele, PhD Theresa M. Hinman,
Restaurant Smoking Policies and Reported Exposure to ETS The case of Massachusetts Tandiwe Njobe National Conference on Tobacco or Health November 2002.
Background There continues to be a shortage of RNs. A possible short fall of up to 36% is predicted by 2020 (USDHHS, 2006). Hospital nurse staffing is.
Transportation-related Injuries among US Immigrants: Findings from National Health Interview Survey.
Job Insecurity Measures as Predictors of Workers’ Compensation filing HeeKyoung Chun Lenore Azaroff, Robert Karasek, Rafael Moure-Eraso, Sangwoo Tak UMass,
Racial/Ethnic Disparities in Gestational Diabetes Mellitus in Oregon Monica Hunsberger, MPH, RD, PhD 1, Rebecca J. Donatelle, PhD 2, Kenneth D. Rosenberg,
Musculoskeletal Disorders among Dentists in Alexandria Prof. Dr. Samy A. Nassif PhD, PT Dean of Faculty of Physical Therapy - PUA Professor of Physical.
Section 1: Trends of Hispanic Employment in Construction.
Occupational Health Indicators in Wyoming, 2001 – 2005 Mulloy KB 1, Stinson KS 1,Boudreau Y 2, Newman LS 1, Helmkamp J 2 1 – Mountain and Plains Education.
Safety and Health Perceptions of Construction Workers
Methodology Issues in Occupational Back Pain Research
Obesity and Workplace Injury in Hazardous Occupations
The Consequence of Workers’ Compensation Filing
26a. Percentage of workers with health insurance, by source and industry, % 94.7% 92.9% 91.8% 91.0% 89.9% 89.2% 78.3% 73.4% 89.9%
. DAVID K. NJERU DCM,HND(ORTH),Bsc(DMID),Msc(OSH) Ph.D. (Ergonomics)ongoing Lecturer of Clinical Medicine Egerton University Kenya .
Presentation transcript:

Does Size Count? Incidence and Reporting of Occupational Disease by Size of Company Tim Morse, Ph.D. ErgoCenter UConn Health Center

Collaborators Charles Dillon, NHANES Joseph Weber, CT Labor Dept. Nick Warren, UCHC Heather Bruneau, UCHC Rongwei Fu, UCHC

NIOSH/OSHA Report higher rates for larger companies

Reasons for Correlation? Increased risk vs. better reporting Increased risk? Biersner and Winn, 1998 More repetition in larger companies? Connected to industry segment or other co-variate such as worker age? Better reporting? Oleinick, et al MSD is under-reported Occupational disease is primarily MSD Better recordkeeping? Less fear of reporting?

Why do we care? How do you best target industries? Grants for small employer training Prioritize OSHA inspections Other policy issues Recordkeeping by small employers What is source of problem? Repetition, stress, other risk factors Need for and focus of internal training for companies Under-estimate of Occupational Disease if under-reporting

Under-reporting CUSP (CT Upper-Extremity Surveillance Project) Data 9.1% of population with likely work-related prevalent MSD 0.78% (95% CI %) doctor-called incident cases % had filed workers’ compensation claims

Correlates of under-reporting (CUSP) Severity of MSD Surgery (OR 3.5) Time off work (OR 4.5) Doctor diagnosis (OR 13.7) Psycho-social factors Management cares (OR 2.0) Fear of reporting Union (OR 4.1) Industry/Occupation Manufacturing, transport, trade higher Hourly wage workers (OR 2.8)

Population-based telephone survey (CUSP) Random sample of 3,200 CT workers 78% interview response rate % with likely work-related MSD % of cases reported to workers’ comp Compare to BLS MSD figures by size of company Size of company coded by CT Labor Dept; additional coding by InfoUSA

Statistical methods Data reduction of risk factors by factor analysis Tabular analysis of MSD by size of company Partial correlations and Logistic regression

ConnOSHA/BLS Survey Connecticut, 1996 Repetitive Trauma 61.6% of occupational illnesses 3.6% of all injuries and illnesses 3,711 cases of repetitive trauma 28.8 per 10,000 workers

CT BLS Repetitive trauma rates also increase by size of business

Results: Coding for Size Only 64% of respondents could be coded for size No major differences between coded and uncoded for gender, age, and ethnicity Minor differences in education 33% (uncoded) vs. 27% (coded) High school grad 13% vs 20% for post-graduate Differences in industry government (5.2% uncoded vs. 20.1% coded) service (60.2% vs. 50.7%) construction (8.1% vs. 4.1%)

Demographic characteristics by company size No difference in gender distribution Higher education in larger companies chi-square=110.3, sig<.001 Blacks and Hispanics over-represented in larger companies chi-square=39.6, sig=.006 Older workers in very large and very small companies chi-square=72.7, sig<.001

Risk Factors Factor analysis Physical risk factor (push/pull,reach above, wrist bent, tool use) Stress/computer factor (job stress, computer use) Correlations with business size physical risk factor (r= -.14) stress/computer factor (.14)

Partial correlations Controlling for gender, race, marriage, age, and education. Physical risk factor and Business size (p=.001) Stress/computer risk factor and business size.120 correlation (p<.001)

MSD % Prevalence by Company Size, CUSP, CT, 1996

MSD by Company Size, CUSP, CT, 1996 Chi-square=9.4, sig=.052

Physical risk by MSD prevalence, by firm size, CUSP, CT, 1996

Logistic Regression MSD case on Size : OR=0.91 CI Doctor called MSD on Size OR=0.88 CI

Logistic Regression Entered: Company size, gender, age, industry, occupation, married, race Backward conditional regression

Logistic regression MSD Stay in equation: Gender, age, race, occupation Size marginally significant (OR=0.90; ) Larger companies have lower rates Doctor called: Stay in regression: occupation, gender, race Size not significantly related to MSD

Cautions and limitations Self-reported data Prevalence, not incidence Just MSD Only 64% could be coded for size Likely that sample under-represented smaller companies Demographics similar between coded and uncoded Not likely to systematically affect rate of MSD by size

Conclusions Business size is only weakly related to MSD, in negative direction (in contrast to BLS reports) Risk factors vary somewhat by size; largest companies have: Lowest physical risks, Highest stress and computer risks

Under-reporting Strong positive correlation in BLS reports between MSD and company size most likely due to better reporting in larger companies Appears to be large under-reporting for smaller companies