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Abstract. Background: Around the globe, 800,000 people die from suicide every year. Despite being one of the leading causes of death, suicide remains a low public health priority. Korea has the second highest total suicide rate among Organisation for Economic Co-operation and Development (OECD) countries. Aims: The aim of this study was to explore how changes of job status influence suicidal risk in Korea, which lags behind other OECD countries in job security because temporary and part-time jobs are more prevalent in Korea. Method: We made use of a large longitudinal dataset, the Korea Health Panel (KHP). Results: Our findings revealed that a negative change in employment status increased the risk of suicide, but only for males. Limitations: Some individuals might intentionally change their job status, but the data do not indicate why the job status of an individual changes. Conclusion: These findings provide useful insights regarding the Korean labor market. In particular, tackling the issue of job stability, providing training polices for the unemployed and under-employed, and considering social insurance schemes may help to reduce suicide risk.

This literature review analyzes studies from the US, Canada, the UK, and Europe from inception to April 1, 2021 and focuses on treatment designs, health outcomes, demographic categories and data issues. Study designs are classified as treatment-effect-on-the-treated (7 studies), intent-to-treat (37), and what may be called possible-effects-on-anyone (10). Treatment-effects-on-the-treated designs are best for addressing the longstanding question: does income affect health or vice versa? I argue that they are also better for estimating the overall effect of minimum wages on health. Health outcomes are grouped into seven broad categories, such as overall physiological health and behavior, and 33 narrow categories, such as self-rated health and smoking. Demographic categories include gender, race/ethnicity, and age. The preponderance of evidence suggests that studies relying on the treatment-effect-on-the-treated and possible-effects-on-anyone designs find minimum wages improve health; there is no preponderance of evidence for overall health within intent-to-treat designs. With respect to specific health outcomes and demographic categories, there is no preponderance of evidence, except for improving infant and child health. One data issue concerns whether either intent-to-treat or possible-effects-on-everyone studies are reliable given that likely more than 70 % of people in their samples earn substantially above minimum wages thereby favoring the null hypothesis. Treatment-effect-on-the-treated designs are likely the best designs, and findings are largely consistent in showing that minimum wages improve some measures of health, for example, financial anxiety.

BackgroundAsynchronous telepsychiatry (ATP; delayed-time) consultations are a novel form of psychiatric consultation in primary care settings. Longitudinal studies comparing clinical outcomes for ATP with synchronous telepsychiatry (STP) are lacking.ObjectiveThis study aims to determine the effectiveness of ATP in improving clinical outcomes in English- and Spanish-speaking primary care patients compared with STP, the telepsychiatry usual care method.MethodsOverall, 36 primary care physicians from 3 primary care clinics referred a heterogeneous sample of 401 treatment-seeking adult patients with nonurgent psychiatric disorders. A total of 184 (94 ATP and 90 STP) English- and Spanish-speaking participants (36/184, 19.6% Hispanic) were enrolled and randomized, and 160 (80 ATP and 80 STP) of them completed baseline evaluations. Patients were treated by their primary care physicians using a collaborative care model in consultation with the University of California Davis Health telepsychiatrists, who consulted with patients every 6 months for up to 2 years using ATP or STP. Primary outcomes (the clinician-rated Clinical Global Impressions [CGI] scale and the Global Assessment of Functioning [GAF]) and secondary outcomes (patients’ self-reported physical and mental health and depression) outcomes were assessed every 6 months.ResultsFor clinician-rated primary outcomes, ATP did not promote greater improvement than STP at 6-month follow-up (ATP vs STP, adjusted difference in follow-up at 6 months vs baseline differences for CGI: 0.2, 95% CI −0.2 to 0.6; P=.28; and GAF: −0.6, 95% CI −3.1 to 1.9; P=.66) or 12-month follow-up (ATP vs STP, adjusted difference in follow-up at 12 months vs baseline differences for CGI: 0.4, 95% CI −0.04 to 0.8; P=.07; and GAF: −0.5, 95% CI −3.3 to 2.2; P=.70), but patients in both arms had statistically and clinically significant improvements in both outcomes. There were no significant differences in improvement from baseline between ATP and STP on any patient self-reported ratings at any follow-up (all P values were between .17 and .96). Dropout rates were higher than predicted but similar between the 2 arms. Of those with baseline visits, 46.8% (75/160) did not have a follow-up at 1 year, and 72.7% (107/147) did not have a follow-up at 2 years. No serious adverse events were associated with the intervention.ConclusionsThis is the first longitudinal study to demonstrate that ATP can improve clinical outcomes in English- and Spanish-speaking primary care patients. Although we did not find evidence that ATP is superior to STP in improving clinical outcomes, it is potentially a key part of stepped mental health interventions available in primary care. ATP presents a possible solution to the workforce shortage of psychiatrists and a strategy for improving existing systems of care.Trial RegistrationClinicalTrials.gov NCT02084979; https://clinicaltrials.gov/ct2/show/NCT02084979.

We evaluate evidence for the effectiveness of raising minimum wages on various measures of public health within the US, Canada, the UK, and Europe. We search four scientific websites from the inception of the research through May 20, 2018. We find great variety (20+) in measured outcomes among the 33 studies that pass our initial screening. We establish quality standards in a second screening resulting in 15 studies in which we create outcome-based groups. Outcomes include four broad measures (general overall health, behavior, mental health, and birth weight) and eight narrow measures (self-reported health, "bad" health days, unmet medical need, smoking, problem-drinking, obesity, eating vegetables, and exercise). We establish criteria for "stronger" findings for outcomes and methods. Stronger findings include: $1 increases in minimum wages are associated with 1.4 percentage point (4% evaluated at mean) decreases in smoking prevalence; failure to reject null hypotheses that minimum wages have no effects for most outcomes; and no consistent evidence that minimum wages harm health. One "suggestive" finding is that the best-designed studies have well-defined treatment (or likely affected) and control (unaffected) groups and contain longitudinal data. The major methodological weaknesses afflicting many studies are the lack of focus on persons likely affected by minimum wages and omission of "falsification tests" on persons likely unaffected. An additional weakness is lack of attention to how findings might differ across populations such as teenagers, adults, men, women, continuously employed and unemployed persons. Research into health effects of minimum wages is in its infancy and growing rapidly. We present a list of "better practices" for future research.

Few population-based studies have used an econometric approach to understand the association between two cancer risk factors, obesity and stress. This study investigated sociodemographic differences in the association between obesity and stress among Korean adults (6,546 men and 8,473 women). Data were drawn from the Korean National Health and Nutrition Examination Survey for 2008, 2009, and 2010. Ordered logistic regression models and propensity score matching methods were used to examine the associations between obesity and stress, stratified by gender and age groups. In women, the stress level of the obese group was found to be 27.6% higher than the nonobese group in the ordered logistic regression; the obesity effect on stress was statistically significant in the propensity score-matched analysis. Corresponding evidence for the effect of obesity on stress was lacking among men. Participants who were young, well-educated, and working were more likely to report stress. In Korea, obesity causes stress in women but not in men. Young women are susceptible to a disproportionate level of stress. More cancer prevention programs targeting young and obese women are encouraged in developed Asian countries.

Background. Comprehensive economic evaluations have not been conducted on telemedicine consultations to children in rural emergency departments (EDs). Objective. We conducted an economic evaluation to estimate the cost, effectiveness, and return on investment (ROI) of telemedicine consultations provided to health care providers of acutely ill and injured children in rural EDs compared with telephone consultations from a health care payer prospective. Methods. We built a decision model with parameters from primary programmatic data, national data, and the literature. We performed a base-case cost-effectiveness analysis (CEA), a probabilistic CEA with Monte Carlo simulation, and ROI estimation when CEA suggested cost-saving. The CEA was based on program effectiveness, derived from transfer decisions following telemedicine and telephone consultations. Results. The average cost for a telemedicine consultation was $3641 per child/ED/year in 2013 US dollars. Telemedicine consultations resulted in 31% fewer patient transfers compared with telephone consultations and a cost reduction of $4662 per child/ED/year. Our probabilistic CEA demonstrated telemedicine consultations were less costly than telephone consultations in 57% of simulation iterations. The ROI was calculated to be 1.28 ($4662/$3641) from the base-case analysis and estimated to be 1.96 from the probabilistic analysis, suggesting a $1.96 return for each dollar invested in telemedicine. Treating 10 acutely ill and injured children at each rural ED with telemedicine resulted in an annual cost-savings of $46,620 per ED. Limitations. Telephone and telemedicine consultations were not randomly assigned, potentially resulting in biased results. Conclusions. From a health care payer perspective, telemedicine consultations to health care providers of acutely ill and injured children presenting to rural EDs are cost-saving (base-case and more than half of Monte Carlo simulation iterations) or cost-effective compared with telephone consultations.

We investigated Supplemental Nutrition Assistance Program (SNAP) participation among citizen, documented and undocumented immigrant hired crop farmworkers for ten recent years. We analyzed population representative data from the National Agricultural Workers Survey for 2003–2012 (N = 18,243 households). Time-chart, simple mean differences, and logistic regressions described farmworker household participation in SNAP. The 2008 financial crisis almost doubled SNAP-participation by agriculture households (6.5% in 2003–2007 vs. 11.3% in 2008–2012). The increasing SNAP-participation was found for citizen, documented and undocumented immigrant households. We found low participation among documented (OR 0.67, 95% CI 0.56–0.8) and undocumented immigrants (OR 0.63, 95% CI 0.54–0.74) compared to citizens. Low odds ratios (OR 0.70, 95% CI 0.55–0.89) were found for Hispanic-citizens as compared with non-Hispanic white-citizens. Our results may help inform the debate surrounding the effects of the financial crisis on SNAP-participation and on differences in participation among citizens, immigrants, Hispanics and non-Hispanics, the latter suggesting ethnic farmworker disparities in SNAP-participation.

Introduction: This study evaluates the financial impact of telemedicine outreach in a competitive healthcare market from a tertiary children’s hospital’s perspective. We compared the number of transfers, average hospital revenue, and average professional billing revenue before and after the deployment of telemedicine. Materials and Methods: This is ar etrospective review of hospital and physician billing records for patients transferred from 16 hospitals where telemedicine services were implemented between July 2003 and December 2010. Hospital revenue was defined as total revenue minus operating costs. Professional billing revenue was defined as total payment received as the result of physician billing of patients’ insurance. We compared the number of transfers, average net hospital revenue per year, and average professional billing revenue per year before and after the deployment of telemedicine at these hospitals. Results: There were 2,029 children transferred to the children’s hospital from the 16 hospitals with telemedicine during the study period. The average number of patients transferred per year to the children’s hospital increased from 143 pre-telemedicine to 285 post-telemedicine. From these patients, the average hospital revenue increased from $2.4 million to $4.0 million per year, and the average professional billing revenue increased from $313,977 to $688,443 per year. On average, per hospital, following the deployment of telemedicine, hospital revenue increased by $101,744 per year, and professional billing revenue increased by $23,404 per year. Conclusions: In a competitive healthcare region with more than one children’s hospital, deploying pediatric telemedicine services to referring hospitals resulted in an increased market share and an increased number of transfers, hospital revenue, and professional billing revenue.

To assess potential reductions in premature mortality that could have been achieved in 2008 to 2012 if the minimum wage had been $15 per hour in New York City.Using the 2008 to 2012 American Community Survey, we performed simulations to assess how the proportion of low-income residents in each neighborhood might change with a hypothetical $15 minimum wage under alternative assumptions of labor market dynamics. We developed an ecological model of premature death to determine the differences between the levels of premature mortality as predicted by the actual proportions of low-income residents in 2008 to 2012 and the levels predicted by the proportions of low-income residents under a hypothetical $15 minimum wage.A $15 minimum wage could have averted 2800 to 5500 premature deaths between 2008 and 2012 in New York City, representing 4% to 8% of total premature deaths in that period. Most of these avertable deaths would be realized in lower-income communities, in which residents are predominantly people of color.A higher minimum wage may have substantial positive effects on health and should be considered as an instrument to address health disparities.

Background Few autism spectrum disorder (ASD) studies have estimated non-medical costs for treatment or addressed possible differences in provision of services across gender, race-ethnic, age or demographic or expenditure categories, especially among adults. Methods The California Department of Developmental Services (CDDS) provides services to residents with developmental disabilities. CDDS provided aggregate data on primarily non-medical spending for fiscal year 2012–2013 for persons with ASD with or without intellectual disability (ID) (main sample, n = 42,274), and two sub-samples: ASD only (n = 30,164), and ASD+ID (n = 12,110). Demographic variables included sex, age and race-ethnicity. Spending categories included Employment Support, Community Care Facilities, Day Care, Transportation, and in-home and out-of-home Respite. Results Per-person spending for males and females were approximately the same: $10,488 and $10,791 for males and females for ages 3–17 and $26,491 and $26,627 for ages 18+. Among race/ethnicity categories, the ranking from highest to lowest among ages 3–17 was white non-Hispanics ($11,480), Asian non-Hispanics ($11,036), “Others” ($11,031), Hispanics ($9,571), and African-American non-Hispanics ($9,482). For ages 18+, the ranking was whites ($31,008), African-Americans ($26,831), “Others” ($25,395), Asians ($22,993), and Hispanics ($18,083). The ASD+ID sub-sample exerted disproportionate influence on findings from the main sample for persons 18+. Combining all ages, the top two expenditure categories for per-person spending were Community Care Facilities ($43,867) and Day Care ($11,244). For most adult age groups, the percentage of recipients participating were highest for Day Care (44.9% - 62.4%) and Transportation (38.6% - 50.9%). Per-person spending for Day Care, Transportation, and Employment Support was relatively low for children but relatively high for adults. Conclusion White non-Hispanics received the highest per-person spending and Hispanics among the least. Amounts within spending categories varied considerably across age groups. Our estimates may be useful as baseline measures for stakeholders preparing for increasing ASD prevalence, especially among adults.

Decreasing the use of high-cost tests may reduce health care costs.To compare costs of care for patients presenting to the emergency department (ED) with suspected kidney stones randomized to 1 of 3 initial imaging tests.Patients were randomized to point-of-care ultrasound (POC US, least costly), radiology ultrasound (RAD US), or computed tomography (CT, most costly). Subsequent testing and treatment were the choice of the treating physician.A total of 2759 patients at 15 EDs were randomized to POC US (n=908), RAD US, (n=893), or CT (n=958). Mean age was 40.4 years; 51.8% were male.All medical care documented in the trial database in the 7 days following enrollment was abstracted and coded to estimate costs using national average 2012 Medicare reimbursements. Costs for initial ED care and total 7-day costs were compared using nonparametric bootstrap to account for clustering of patients within medical centers.Initial ED visit costs were modestly lower for patients assigned to RAD US: $423 ($411, $434) compared with patients assigned to CT: $448 ($438, $459) (P0.0001). Total costs were not significantly different between groups: $1014 ($912, $1129) for POC US, $970 ($878, $1078) for RAD US, and $959 ($870, $1044) for CT. Hospital admissions contributed over 50% of total costs, though only 11% of patients were admitted. Mean total costs (and admission rates) varied substantially by site from $749 to $1239.Assignment to a less costly test had no impact on overall health care costs for ED patients. System-level interventions addressing variation in admission rates from the ED might have greater impact on costs.

The history of occupational medicine has been characterized by ever-widening recognition of hazards, from fires in 1911 to asbestos in the 1960s, to job strain in the 1990s. In this essay, we argue for broadening the recognition further to include low wages. We first review possible mechanisms explaining the effects of wages on health or health behaviors. Mechanisms involve self-esteem, job satisfaction, deprivation, social rank, the "full" price of bad health, patience, and the ability to purchase health-producing goods and services. Second, we discuss empirical studies that rely on large, typically national, data sets and statistical models that use either instrumental variables or natural experiments and also account for other family income. Finally, we draw implications for laws governing minimum wages and labor unions.

BACKGROUND:: Whereas national prevalence estimates for workers' compensation benefits are available, incidence estimates are not. Moreover, few studies address which groups in the economy pay for occupational injury and illness when workers' compensation does not. METHODS:: Data on numbers of cases and costs per case were drawn from the Bureau of Labor Statistics and National Council on Compensation Insurance data sets. Costs not covered by workers' compensation were estimated for private and public entities. RESULTS:: Total benefits in 2007 were estimated to be $51.7 billion, with $29.8 billion for medical benefits and $21.9 billion for indemnity benefits. For medical costs not covered by workers' compensation, other (non-workers' compensation) insurance covered $14.22 billion, Medicare covered $7.16 billion, and Medicaid covered $5.47 billion. CONCLUSION:: Incidence estimates of national benefits for workers' compensation were generated by combining existing published data. Costs were shifted to workers and their families, non-workers' compensation insurance carriers, and governments. Language: en

Whereas some studies show statistically significant linear associations between consumption at full-service restaurants and consumer incomes, studies of fast-food restaurants fail to find statistically significant linear associations. In this study, nationally representative data were drawn from the 1994-1996 Continuing Survey of Food Intakes by Individuals and the accompanying Diet and Health Knowledge Survey. The sample contained 4972 individuals who were 21 years of age or older. Dependent variables measured number of restaurant visits on 2 nonconsecutive days. Income was total annual household income. Control variables reflected sociodemographic, economic, lifestyle, and attitudinal variables. To capture possible curvilinear relationships between income and food consumption, we analyzed frequency distributions, regressions on full samples including income squared, and we divided samples into above- and below-average income groups. Zero-inflated negative binomial regressions accounted for excessive zeros within dependent variables. We found that fast-food restaurants were "normal goods" for below-average income, but "inferior goods" for above-average income, whereas full-service restaurants were "normal" for virtually all income levels. Earlier studies were flawed because they only tested for linear associations. Our results have implications for the poverty and obesity debate.

Background We hypothesized that low socioeconomic status, employer-provided health insurance, low wages, and overtime were predictors of reporting workers compensation indemnity claims. We also tested for gender and race disparities. Methods Responses from 17,190 (person-years) Americans participating in the Panel Study of Income Dynamics, 1997–2005, were analyzed with logistic regressions. The dependent variable indicated whether the subject collected benefits from a claim. Results Odds ratios for men and African-Americans were relatively large and strongly significant predictors of claims; significance for Hispanics was moderate and confounded by education. Odds ratios for variables measuring education were the largest for all statistically significant covariates. Neither low wages nor employer-provided health insurance was a consistent predictor. Due to confounding from the “not salaried” variable, overtime was not a consistently significant predictor. Conclusion Few studies use nationally representative longitudinal data to consider which demographic and job characteristics predict reporting workers compensation indemnity cases. This study did and tested some common hypotheses about predictors. Am. J. Ind. Med. 54:758–770, 2011. © 2011 Wiley-Liss, Inc.

The average costs of Musculoskeletal Disorder (MSD) and odds ratios for filing medical claims related to MSD were examined. The medical claims were identified by ICD 9 codes for four US Census regions within retail trade. Large private firms' medical claims data from Thomson Reuters Inc. MarketScan databases for the years 2003 through 2006 were used. Average costs were highest for claims related to lumbar region (ICD 9 Code: 724.02) and number of claims were largest for low back syndrome (ICD 9 Code: 724.2). Whereas the odds of filing an MSD claim did not vary greatly over time, average costs declined over time. The odds of filing claims rose with age and were higher for females and southerners than men and non-southerners. Total estimated national medical costs for MSDs within retail trade were $389 million (2007 USD).

OBJECTIVE: To estimate the effects of increasing gas prices on mortality. METHOD: We developed a simulation-based partial equilibrium model that estimated the public health effects of a 20% rise in gas prices. Estimates on price elasticity for gasoline, price elasticity of motor vehicle crashes, relations among gasoline use, air pollution, and mortality were drawn from literature in economics, epidemiology, and medicine. RESULTS: For sustained 20% increases in gasoline prices over 1 year, and assuming other prices and factors were constant, we estimated: 1994 (range, 997 to 4984) fewer deaths from vehicle crashes and 600 (range, 300 to 1500) fewer deaths from air pollution. Combining both, we estimated 2594 fewer deaths. A Monte Carlo simulation involving varying assumptions on elasticities and relations indicated that 95% of the combined reduction in deaths was between 1747 and 3714. CONCLUSION: Results suggest that high gas prices have public health implications. Language: en

Physicians, nurses and other healthcare workers (HCWs) are at risk of bloodborne pathogens infection from needlestick injuries, but costs of needlesticks are little studied.We used the cost-of-illness and incidence approaches. We used the perspective of the medical provider (medical costs) and the individual (lost productivity). Data on needlesticks, infections from hepatitis B and C (HBV, HCV) and human immune-deficiency (HIV) among HCWs, as well as data on per-unit costs were culled from research literature, Centers for Disease Control and Prevention reports, and Bureau of Labor Statistics reports. We also generated estimates based upon industry employment and scenarios for source-patients. These data and estimates were combined with assumptions to produce a model that generated base-case estimates as well as one-way and multi-way probabilistic sensitivity analyses. Future costs were discounted by 3%.We estimated 644,963 needlesticks in the healthcare industry for 2004 of which 49% generated costs. Medical costs were $107.3 million of which 96% resulted from testing and prophylaxis and 4% from treating long-term infections (34 persons with chronic HBV, 143 with chronic HCV, and 1 with HIV). Lost-work productivity generated $81.2 million, for which 59% involved testing and prophylaxis and 41% involved long-term infections. Combined medical and work productivity costs summed to $188.5 million. Multi-way sensitivity analysis suggested a range on combined costs from $100.7 million to $405.9 million.Detailed methodology was developed to estimate costs of needlesticks and subsequent infections for hospital-based and non-hospital-based health care workers. The combined medical and lost productivity costs comprised roughly 0.1% of all occupational injury and illness costs for all jobs in the economy. We did not account for lost home production or pain and suffering costs, however, nor did we estimate benefit/cost ratios of specific interventions to reduce needlesticks.

Debate surrounds the provision of Women, Infants, and Children (WIC) benefits to undocumented immigrants. Few studies are available to estimate use of WIC services by documented and undocumented households using nationally representative data. The authors analyzed data from the National Agricultural Workers Survey (NAWS) annual cross-sections from 1993 through 2009 (N = 40,896 person-years). Household documentation status is defined by the status of the adults in the household, not children. Simple mean differences, logistic regressions, and time charts described household participation in WIC over 2-year intervals. Without adjustments for covariates, 10.7% of undocumented farm workers' households and 12.4% of documented households received WIC benefits, yielding an odds ratio of 0.84 (95% confidence interval [CI]: 0.76-0.94). Logistic regressions revealed that for the same number of children in the household, participation by undocumented persons was higher than participation by documented persons. Time charts and logistic regressions with interaction terms showed a stronger correspondence between participation in WIC and number of children

Few US estimates of the economic burden of autism spectrum disorders (ASD) are available and none provide estimates for 2015 and 2025. We forecast annual direct medical, direct non-medical, and productivity costs combined will be $268 billion (range $162-$367 billion; 0.884-2.009 % of GDP) for 2015 and $461 billion (range $276-$1011 billion; 0.982-3.600 % of GDP) for 2025. These 2015 figures are on a par with recent estimates for diabetes and attention deficit and hyperactivity disorder (ADHD) and exceed the costs of stroke and hypertension. If the prevalence of ASD continues to grow as it has in recent years, ASD costs will likely far exceed those of diabetes and ADHD by 2025.

BACKGROUND Despite considerable debate surrounding the use of Medicaid by undocumented immigrants, few studies address the extent of this use or estimate differences in the use between documented and undocumented households. METHOD We analyzed data from the National Agricultural Workers Survey annual cross sections from 1993 through 2009, N = 41,342. Simple mean differences and logistic regressions predicted participation in Medicaid over 2-year intervals. RESULTS Without adjustments for covariates, 12.2% of undocumented farm workers' households and 22.6% of documented households received Medicaid benefits, corresponding to an odds ratio of 0.48 (95% confidence interval, 0.33 to 0.69). By adding only covariates reflecting presence of children in the household, the odds ratio increased to 0.86 (95% confidence interval, 0.73 to 1.02). CONCLUSIONS Undocumented farm workers' households were roughly half as likely to use Medicaid as documented households, and undocumented households' participation was especially responsive to the presence of children.

BACKGROUND: Little is known about cost differences for demographic groups or across occupational injuries and illnesses. METHODS: In this incidence study of nationwide data for 1993, an analysis was conducted on fatal and non-fatal injury and illness data recorded in government data sets. Costs data were from workers' compensation records, estimates of lost wages, and jury awards. RESULTS: The youngest (age /= 65) workers had exceptionally high fatality costs. Whereas men's costs for non-fatal incidents were nearly double those for women, men's costs for fatal injuries were 10 times the costs for women. The highest ranking occupation for combined fatal and non-fatal costs-farming, forestry, and fishing-had costs-per-worker ($5,163) over 18 times the lowest ranking occupation-executives and managers ($279). The occupation of handlers, cleaners, and laborers, ranked highest for non-fatal costs. Gunshot wounds generated especially high fatal costs. Compared to whites, African-Americans had a lower percentage of costs due to carpal tunnel syndrome, circulatory, and digestive diseases. CONCLUSIONS: Costs comparisons can be drawn across age, race, gender, and occupational groups as well as categories of injuries and illnesses.A� Language: en

Objectives This study has ranked industries using estimated total costs and costs per worker. Methods This incidence study of nationwide data was carried out in 1993. The main outcome measure was total cost for medical care, lost productivity, and pain and suffering for the entire United States (US). The analysis was conducted using fatal and nonfatal injury and illness data recorded in large data sets from the US Bureau of Labor Statistics. Cost data were derived from workers` compensation records, estimates of lost wages, and jury awards. Current-value calculations were used to express all costs in 1993 in US dollars. Results The following industries were at the top of the list for average cost (cost per worker): taxicabs, bituminous coal and lignite mining, logging, crushed stone, oil field services, water transportation services, sand and gravel, and trucking. Industries high on the total-cost list were trucking, eating and drinking places, hospitals, grocery stores, nursing homes, motor vehicles, and department stores. Industries at the bottom of the cost-per-worker list included legal services, security brokers, mortgage bankers, security exchanges, and labor union offices. Conclusions Detailed methodology was developed for ranking industries by total cost and cost per worker. Ranking by total costs provided information on total burden of hazards, and ranking by cost per worker provided information on risk. Industries that ranked high on both lists deserve increased research and regulatory attention.

The Early Intervention Program (EIP) is California's publicly funded human immunodeficiency virus (HIV) care and treatment program with 30 sites throughout the state. Our objective for this study was to examine the number of days from first HIV-positive result until enrollment into EIP by race/ethnicity, behavioral risk, and other characteristics, with data from clients who enrolled in an EIP site after the availability of highly active antiretroviral therapies. For Model I, logistic regression distinguished clients diagnosed with HIV and enrolled in EIP on the same day (0 days) from those with values of 1+ days; linear regression was then used on the log transformation of days for the majority of clients not diagnosed and enrolled on the same day. For Model II, logistic regression was used to identify client characteristics related to enrollment in EIP over 6 weeks from the date of HIV diagnosis. We found that Latinos were more likely than whites to enroll in EIP on the day they were diagnosed with HIV. For clients not diagnosed and enrolled in EIP on the same day, no differences across racial and ethnic groups were found for days until enrollment in HIV care and treatment. However, clients with a history of injection drug use took longer from the day they were diagnosed with HIV to enroll in EIP. The California EIP represents a model for programs seeking equity in access to HIV care and treatment across racial and ethnic groups. Getting injectors into timely HIV care and treatment represents a challenge.

Objective: To estimate the number of annual deaths, as well as the direct and indirect costs of occupational COPD and asthma, in the United States in 1996. Design: Aggregation and analysis of national data sets collected by the National Center for Health Statistics, the Health Care Financing Administration, and other government bureaus and private firms. To assess mortality, we reviewed data from national surveys and applied a population attributable risk (PAR) of 15% for both asthma and COPD. We use a lower age limit of 35 years for occupational COPD and 20 years for occupational asthma. To calculate costs, we use the human capital method that decomposes costs into direct categories, such as medical expenses, as well as indirect categories, such as lost earnings and lost home production. We calculated proportionately adjusted costs for other plausible PARs. Results: The 15% PARs result in costs of $5.0 billion for COPD and $1.6 billion for asthma. For COPD, 56% of costs were direct and 44% were indirect; for asthma, 74% were direct and 26% indirect. These estimates are conservative since we ignored costs associated with pain and suffering as well as the value of care rendered by family members. The proportionately adjusted costs for 10 to 20% PARs are $3.3 to $6.6 billion for COPD and $1.1 to $2.1 billion for asthma. Conclusions: The estimated $6.6 billion cost of occupational COPD and asthma in 1996 is likely to rise with the increasing prevalence of these diseases and warrants preventive intervention. (CHEST 2002; 121:264 –272)

Background Debate surrounds the accuracy of U.S. government’s estimates of job-related injuries and illnesses in agriculture. Whereas studies have attempted to estimate the undercount for all industries combined, none have specifically addressed agriculture. Methods Data were drawn from the U.S. government’s premier sources for workplace injuries and illnesses and employment: the Bureau of Labor Statistics databanks for the Survey of Occupational Injuries and Illnesses (SOII), the Quarterly Census of Employment and Wages, and the Current Population Survey. Estimates were constructed using transparent assumptions; for example, that the rate (cases-per-employee) of injuries and illnesses on small farms was the same as on large farms (an assumption we altered in sensitivity analysis). Results We estimated 74,932 injuries and illnesses for crop farms and 68,504 for animal farms, totaling 143,436 cases in 2011. We estimated that SOII missed 73.7% of crop farm cases and 81.9% of animal farm cases for an average of 77.6% for all agriculture. Sensitivity analyses suggested that the percent missed ranged from 61.5% to 88.3% for all agriculture. Conclusions We estimate considerable undercounting of nonfatal injuries and illnesses in agriculture and believe the undercounting is larger than any other industry. Reasons include: SOII’s explicit exclusion of employees on small farms and of farmers and family members and Quarterly Census of Employment and Wages’s undercounts of employment. Undercounting limits our ability to identify and address occupational health problems in agriculture, affecting both workers and society.

Objectives. The purpose of this study was to estimate the annual incidence, the mortality, and the direct and indirect costs associated with occupational injuries and illnesses in California in 1992. To achieve this, we performed aggregation and analysis of national and California data sets collected by the U.S. Bureau of Labor Statistics, California Workers' Compensation Insurance Rating Bureau, California Division of Industrial Relations, the National Center for Health Statistics, and the U.S. Health Care Financing Administration. Methods. To assess incidence of and mortality from occupational injuries and illnesses, we reviewed data from state and national surveys and applied an attributable risk proportion method. To assess costs, we used the cost-of-illness, human capital, method that decomposes costs into direct categories such as medical expenses and insurance administration expenses as well as indirect categories such as lost earnings, lost home production, and lost fringe benefits. Some cost estimates were drawn from California data, whereas others were drawn from a national study but were adjusted to reflect California's differences. Cost estimates for injuries were calculated by multiplying average costs by the number of injuries. For the majority of diseases, cost estimates relied on the attributable risk proportion method. Results. Approximately 660 job-related deaths from injury, 1.645 million nonfatal injuries, 7,079 deaths from diseases, and 0.133 million illnesses are estimated to occur annually in the civilian California workforce. The direct ($7.04 billion, 34%) plus indirect ($13.62 billion, 66%) costs were estimated to be $20.7 billion. Injuries cost $17.8 billion (86%) and illnesses $2.9 billion (14%). These estimates are likely to be low because: (1) they ignore costs associated with pain and suffering, (2) they ignore home care provided by family members, and (3) the numbers of occupational injuries and illnesses are likely to be undercounted. Conclusion. Occupational injuries and illnesses are a major contributor to the total cost of health care and lost productivity in California. These costs are on a par with those of all cancers combined and only slightly less than the cost of heart disease and stroke in California. Workers' compensation covers less than one-half of the costs of occupational injury and illness.

To describe occupational illness data in two large data sets, two national data sets were aggregated, and the numbers, percentages, and rates of cases of occupational illnesses were determined. Job-related illness data were from Bureau of Labor Statistics documents containing Annual Survey and Census of Fatal Occupational Injury data. A severity index was created to assess the overall burden of a disease. The index multiplies the number of cases times the median days lost. Circulatory disease accounted for 85% of the deaths in the Census and at least 80% in the Annual Survey. More fatal myocardial infarctions occurred on Monday than on any other day. Low-paying occupations had the most myocardial infarctions: operators, laborers, and truck drivers; high-paying occupations had the least: executives, administrators, and managers. Carpal tunnel syndrome and hearing loss accounted for more morbidity, measured by cases and days lost, than any other illness. Persons at great risk for carpal tunnel syndrome included dental hygienists, butchers, sewing machine operators, and dentists. Mental disorders generated more morbidity than is generally acknowledged. Neurotic reactions to stress were highest in the transportation and public utility industries, as well as in finance, insurance, and real estate. Manufacturing contributed far more cases than any other industry. Industries generating significant asbestos-related deaths included construction and boat building. Ninety-three percent of all illness fatalities were among men. Few African Americans died from coal-workers' pneumoconiosis. Illness cases increased much faster than injury cases in recent years. The two data sets provide insights into the incidences and prevalences of occupational illnesses, but underestimate the burden of job-related illnesses.

OBJECTIVE: To determine whether state-mandated minimum nurse-to-patient staffing ratios in California hospitals had an effect on reported occupational injury and illness rates. METHODS: The difference-in-differences method was applied: the change in injury rates among hospital nurses after implementation of the law in California was compared to the change in 49 other states and the District of Columbia combined. Data were drawn from the US Bureau of Labor Statistics and the California Employment Development Department, including numerator estimates of injury and illness cases and denominator estimates of the number of registered nurses (RNs) and licensed practical nurses (LPNs) employed in hospitals. Confidence intervals (CIs) for rates were constructed based on assumptions that favored the null hypothesis. RESULTS: The most probable difference-in-differences estimate indicated that the California law was associated with 55.57 fewer occupational injuries and illnesses per 10,000 RNs per year, a value 31.6% lower than the expected rate without the law. The most probable reduction for LPNs was 33.6%. Analyses of confidence intervals suggested that these reductions were unlikely to be due to chance. CONCLUSIONS: Despite significant data restrictions and corresponding methodological limitations, the evidence suggests that the law was effective in reducing occupational injury and illness rates for both RNs and LPNs. Whether these 31.6% and 33.6% reductions are maintained over time remains to be seen.

Objective: Socio-economic status (SES) is strongly correlated with hypertension. But SES has several components, including income and correlations in cross-sectional data need not imply SES is a risk factor. This study investigates whether wages—the largest category within income—are risk factors. Methods: We analysed longitudinal, nationally representative US data from four waves (1999, 2001, 2003 and 2005) of the Panel Study of Income Dynamics. The overall sample was restricted to employed persons age 25–65 years, n = 17 295. Separate subsamples were constructed of persons within two age groups (25–44 and 45–65 years) and genders. Hypertension incidence was self-reported based on physician diagnosis. Our study was prospective since data from three base years (1999, 2001, 2003) were used to predict newly diagnosed hypertension for three subsequent years (2001, 2003, 2005). In separate analyses, data from the first base year were used to predict time-to-reporting hypertension. Logistic regressions with random effects and Cox proportional hazards regressions were run. Results: Negative and strongly statistically significant correlations between wages and hypertension were found both in logistic and Cox regressions, especially for subsamples containing the younger age group (25–44 years) and women. Correlations were stronger when three health variables—obesity, subjective measures of health and number of co-morbidities—were excluded from regressions. Doubling the wage was associated with 25–30% lower chances of hypertension for persons aged 25–44 years. Conclusions: The strongest evidence for low wages being risk factors for hypertension among working people were for women and persons aged 25–44 years.

Data from the National Health and Nutrition Examination Survey I, 1971–1975 (NHANES I) were used to analyze associations among highest education level and arthritis. The dependent variables indicated whether the respondent had ever been diagnosed with any form of arthritis by a physician (10,678 women and 7243 men) or whether physician X-ray readings suggested arthritis of the knee (3491 women and 3119 men). These variables did not distinguish between osteo- and rheumatoid arthritis. It is likely that the great majority of the sample reporting or diagnosed with arthritis had osteoarthritis. There were strong univariate correlations between answers to the general arthritis question and the knee question on the one hand and gender, age, body mass, schooling, income and employment on the other. Respondents' education level was found to be strongly and negatively associated with self-reported arthritis in the larger samples both before and after controls were entered for employment, income and potential biological risk factors. The association between self-reported arthritis or arthritis of the knees and education was weaker for men, but not for women after employment and income were accounted for. When body mass was accounted for, the association between self-reported arthritis or arthritis of the knees and education was weaker among women but not men. Long-run preventive strategies to combat osteoarthritis ought to consider investments in education.

The allocation of scarce health care resources requires a knowledge of disease costs. Whereas many studies of a variety of diseases are available, few focus on job-related injuries and illnesses. This article provides estimates of the national costs of occupational injury and illness among civilians in the United States for 2007.This study provides estimates of both the incidence of fatal and nonfatal injuries and nonfatal illnesses and the prevalence of fatal diseases as well as both medical and indirect (productivity) costs. To generate the estimates, I combined primary and secondary data sources with parameters from the literature and model assumptions. My primary sources were injury, disease, employment, and inflation data from the U.S. Bureau of Labor Statistics (BLS) and the Centers for Disease Control and Prevention (CDC) as well as costs data from the National Council on Compensation Insurance and the Healthcare Cost and Utilization Project. My secondary sources were the National Academy of Social Insurance, literature estimates of Attributable Fractions (AF) of diseases with occupational components, and national estimates for all health care costs. Critical model assumptions were applied to the underreporting of injuries, wage-replacement rates, and AFs. Total costs were calculated by multiplying the number of cases by the average cost per case. A sensitivity analysis tested for the effects of the most consequential assumptions. Numerous improvements over earlier studies included reliance on BLS data for government workers and ten specific cancer sites rather than only one broad cancer category.The number of fatal and nonfatal injuries in 2007 was estimated to be more than 5,600 and almost 8,559,000, respectively, at a cost of $6 billion and $186 billion. The number of fatal and nonfatal illnesses was estimated at more than 53,000 and nearly 427,000, respectively, with cost estimates of $46 billion and $12 billion. For injuries and diseases combined, medical cost estimates were $67 billion (27% of the total), and indirect costs were almost $183 billion (73%). Injuries comprised 77 percent of the total, and diseases accounted for 23 percent. The total estimated costs were approximately $250 billion, compared with the inflation-adjusted cost of $217 billion for 1992.The medical and indirect costs of occupational injuries and illnesses are sizable, at least as large as the cost of cancer. Workers' compensation covers less than 25 percent of these costs, so all members of society share the burden. The contributions of job-related injuries and illnesses to the overall cost of medical care and ill health are greater than generally assumed.

Objective. Numbers and costs of occupational injuries and illnesses are significant in terms of morbidity and dollars, yet our understanding of time trends is minimal. We investigated trends and addressed some common hypotheses regarding causes of fluctuations. Methods. We pulled data on incidence rates (per 100 full-time employed workers) for injuries and illnesses from the U.S. Bureau of Labor Statistics and on costs and benefits from the National Academy of Social Insurance for 1973 through 2007. Rates reflected all injury and illness cases, lost work-time cases, and cases resulting in at least 31 days away from work. We adjusted dollar costs (premiums) and benefits for inflation and measured them per employed worker. We plotted data in time-trend charts and ran linear regressions. Results. From 1973 to 1991, there was a weak to nonexistent downward trend for injury and illness rates, and rates were strongly and negatively correlated with the unemployment rate. From 1992 to 2007, there were strong, consistent downward trends, but no longer were there statistically significant correlations with unemployment. Significant predictors (and signs) of workers' compensation premiums for 1973–2007 included medical price inflation (positive), number of lost-time injuries (positive), the Dow Jones Industrial Average (negative), and inflation-adjusted interest rate on U.S. Treasury bonds (negative). Dollars of benefits were positively and significantly predicted by medical inflation and number of lost-time cases. For 1992–2007, the Dow Jones variable was the only robust predictor of premiums; the number of injuries was not a significant positive predictor. Conclusion. We had two major conclusions. First, the year 1992 marked a sharp contrast in trends and correlations between unemployment and incidence rates for occupational injuries and illnesses. Second, for the entire time period (1973–2007), insurance carriers' premiums were strongly associated with returns on investments.

Three methodological problems are commonly faced by researchers investigating relationships between severity and duration of illness among patients with rheumatoid arthritis (RA). (1) Linear regression techniques yield biased estimates when measures of severity are continous but range between and include limiting values such as 0 and 3. (2) Data from the same patient over time are typically pooled together with data from different patients at the same time and over time. Models are then used that do not account for the statistical problems that can result from pooling. (3) Persons with varying years of duration of disease are typically combined and analyzed without any special attention to cohort effects. Changes in severity over time for cohorts of patients with fewer than 10 years of duration may be different from changes in severity of patients with more than 20 years of duration from the onset of the disease. In this study, severity is measured by the 0–3 disability scale in the Stanford Health Assessment Questionnaire (HAQ). Duration is measured by self-report of the onset of symptoms by subjects. Popular techniques are borrowed from econometrics—Tobit, Fixed Effects, and dummy variables for Cohort Models—that were developed to address three analogous problems in economic data. The three economic techniques are applied separately and together using data collected by Arthritis, Rheumatism, and Aging Medical Information System (ARAMIS) on 330 RA patients in 1981 who were followed until 1989. Although the Tobit technique does not appear to be especially useful with these data, Fixed Effects and Cohort Models do appear to be useful. This study illustrates how methods used in economics to address three problems of censoring, panel data, and cohort effects can be applied to medical data. These three problems are often ignored in medical studies.

Mortality rates were drawn from the California Occupational Mortality Study (COMS) to analyze liver cirrhosis deaths within occupations and industries from 1979 to 1981. Age-adjusted Standardized Mortality Rates (SMRs) were made available by the State of California for separate analyses of women, men, blacks and whites. Rankings of occupations with narrow confidence intervals were strikingly similar for blacks and whites. Within occupations, the highest female SMRs were for waitresses, telephone operators, cosmetologists, dress makers, hospital orderlies, textile workers, and laborers. The lowest female SMRs were for skilled crafts workers and teachers. High male occupations included water transportation workers, bartenders, loggers, laborers, roofers, construction workers, farm workers, iron workers, and painters. Low male occupations included teachers, physicians and dentists, managers, factory supervisors, business sales workers, heavy equipment operators, and other professionals. High female industries included eating and drinking places, laundry/dry cleaning, nursing and personal care facilities, aerospace, beauty shops, and entertainment. Low female industries included wholesale trades and education. High male industries included water transportation, military, guard services, eating and drinking places, iron and steel mills, and railroads. Low male industries included research/engineering labs, education, and computer manufacturing. This study was descriptive. It remains unknown whether certain jobs cause excessive drinking and cirrhosis, or whether people who are prone to develop cirrhosis select certain jobs.

Objective. To determine if marital status is associated with differences in rates of progression of functional disability in patients with rheumatoid arthritis (RA). Methods. A community cohort of 282 persons with RA was followed prospectively for up to 9.5 years. The progression of functional disability over time was determined using the Health Assessment Questionnaire Disability Index, which was completed by study participants every 6 months. Results. At study entry, the Disability Index was 1.1 ± 0.8 (mean ± 1 SD) (possible range 0–3) among the 188 married participants and 1.3 ± 0.9 among the 94 unmarried participants. Over time, the rate of progression of functional disability was generally higher among unmarried participants. However, the extent of this difference varied somewhat over the disease course, with rates of progression higher among unmarried than among married participants during years 5–7 and years 17–29 of RA. Overall estimated rates of progression, adjusted for the effects of other sociodemographic factors, were 0.03 Disability Index units per year in unmarried participants and 0.01 Disability Index units per year in married participants (P < 0.0001). Conclusion. Marriage, possibly reflecting the influence of social support, is associated with a lower rate of progression of functional disability in persons with RA.

Background Disparities in remuneration between primary care and other physician specialties may impede health care reform by undermining the sustainability of a primary care workforce. Previous studies have compared annual incomes across specialties unadjusted for work hours. Wage (earnings-per-hour) comparisons could better inform the physician payment debate. Methods In a cross-sectional analysis of data from 6381 physicians providing patient care in the 2004-2005 Community Tracking Study (adjusted response rate, 53%), we compared wages across broad and narrow categories of physician specialties. Tobit and linear regressions were run. Four broad specialty categories (primary care, surgery, internal medicine and pediatric subspecialties, and other) and 41 specific specialties were analyzed together with demographic, geographic, and market variables. Results In adjusted analyses on broad categories, wages for surgery, internal medicine and pediatric subspecialties, and other specialties were 48%, 36%, and 45% higher, respectively, than for primary care specialties. In adjusted analyses for 41 specific specialties, wages were significantly lower for the following than for the reference group of general surgery (wage near median, $85.98): internal medicine and pediatrics combined (−$24.36), internal medicine (−$24.27), family medicine (−$23.70), and other pediatric subspecialties (−$23.44). Wage rankings were largely impervious to adjustment for control variables, including age, race, sex, and region. Conclusions Wages varied substantially across physician specialties and were lowest for primary care specialties. The primary care wage gap was likely conservative owing to exclusion of radiologists, anesthesiologists, and pathologists. In light of low and declining medical student interest in primary care, these findings suggest the need for payment reform aimed at increasing incomes or reducing work hours for primary care physicians.

Background: Little is known about statistical associations between occupation and hypertension for persons more than age 65. Methods: We analyzed cross-sectional data from the 2004 Health and Retirement Survey. We drew 12 gender-specific sub-samples (age 65+; age 70+; age 75+ ) who reported at least 1 year or 10 years tenure in the same occupation. For 65+ with at least 1 year tenure, n = 3645 men and n = 3644 women. Hypertension was self-reported based on physician diagnosis. Logistic regressions controlled for demographic variables and risk factors. Results: After adjusting for control variables, including education, race, income, smoking, drinking, body mass, and number of comorbidities, the following occupations were significantly (P < 0.05) more likely than managers to report hypertension in at least two of the six sub-samples for women: professionals, salespeople, private household cleaning service workers, and personal service workers. Statistically significant occupations in at least two of the six sub-samples for men included: salespersons, personal service workers, mechanics, construction trades, precisions production workers, and operators. Conclusion: Current and especially pre-retirement occupations were risk factors for hypertension among seniors.

Background Specialty-specific data on career satisfaction may be useful for understanding physician workforce trends and for counseling medical students about career options. Methods We analyzed cross-sectional data from 6,590 physicians (response rate, 53%) in Round 4 (2004-2005) of the Community Tracking Study Physician Survey. The dependent variable ranged from +1 to -1 and measured satisfaction and dissatisfaction with career. Forty-two specialties were analyzed with survey-adjusted linear regressions Results After adjusting for physician, practice, and community characteristics, the following specialties had significantly higher satisfaction levels than family medicine: pediatric emergency medicine (regression coefficient = 0.349); geriatric medicine (0.323); other pediatric subspecialties (0.270); neonatal/prenatal medicine (0.266); internal medicine and pediatrics (combined practice) (0.250); pediatrics (0.250); dermatology (0.249);and child and adolescent psychiatry (0.203). The following specialties had significantly lower satisfaction levels than family medicine: neurological surgery (-0.707); pulmonary critical care medicine (-0.273); nephrology (-0.206); and obstetrics and gynecology (-0.188). We also found satisfaction was significantly and positively related to income and employment in a medical school but negatively associated with more than 50 work-hours per-week, being a full-owner of the practice, greater reliance on managed care revenue, and uncontrollable lifestyle. We observed no statistically significant gender differences and no differences between African-Americans and whites. Conclusion Career satisfaction varied across specialties. A number of stakeholders will likely be interested in these findings including physicians in specialties that rank high and low and students contemplating specialty. Our findings regarding "less satisfied" specialties should elicit concern from residency directors and policy makers since they appear to be in critical areas of medicine.

Objective: This study provides estimates of the factors that are contributing to the escalation of medical costs. Design: Measures of price and utilization trends were developed to estimate their contributions to increases in workers compensation medical severity overall and across a range of services and diagnoses. Patients: Analysis utilized medical transactions data covering approximately 327,000 closed claims for injuries occurring in 37 states in 1996, 1997, 2001, and 2002 provided to the National Council on Compensation Insurance by several large workers' compensation insurance companies. Main Results: Increases in billed medical treatments per claim contributed more than half, a shift to more costly injuries accounted for a fifth, and the increase in the average cost-per-treatment generated about a quarter of the increase in medical severity between 1996-1997 and 2001-2002. Conclusions: Increases in billed medical treatments is the major cost driver in workers compensation medical costs.

The strong associations between education level and prevalence and severity of arthritis have recently been investigated, with some suggestion that the relationships might be causal. Data from 4 national probability samples were analyzed, in which occupation and income were measured currently and prior to the development of arthritis. These data indicate that previous studies overestimated the strength of the association between schooling and arthritis because income and, especially, occupation were not analyzed as separate covariates. The overestimate appears to be especially high for persons currently employed, for men, and for persons employed in dangerous jobs. Health policy strategies directed toward reducing arthritis rates require not simply a focus on education, but the additional socioeconomic status dimensions of income and occupational safety and health.

Objective. We examined the relationship between smoking participation and cigarette pack price by income group and time period to determine role of cigarette prices in income-related disparities in smoking in the United States. Methods. We used data from the 1984–2004 Behavioral Risk Factor Surveillance System surveys linked to information on cigarette prices to examine the adjusted prevalence of smoking participation and smoking participation–cigarette pack price elasticity (change in percentage of persons smoking relative to a 1% change in cigarette price) by income group (lowest income quartile [lower] vs all other quartiles [higher]) and time period (before vs after the Master Settlement Agreement [MSA]). Results. Increased real cigarette-pack price over time was associated with a marked decline in smoking among higher-income but not among lower-income persons. Although the pre–MSA association between cigarette pack price and smoking revealed a larger elasticity in the lower- versus higher-income persons (−0.45 vs −0.22), the post–MSA association was not statistically significant (P>.2) for either income group. Conclusions. Despite cigarette price increases after the MSA, income-related smoking disparities have increased. Increasing cigarette prices may no longer be an effective policy tool and may impose a disproportionate burden on poor smokers.

To construct a semi-Markov model to compare health outcomes and medical costs associated with warfarin and a second anticoagulant over 1- and 5-year periods.We posited a hypothetical cohort of 10,000 identical 70-year-old patients with atrial fibrillation. We posited 20 scenarios for events that included four possibilities for ischemic strokes (mild, moderate, severe, death) and 16 possibilities for hemorrhages. The model allowed for four levels of International Normalized Ratio. Event rates were based on outcomes in clinical trials and observational studies. Costs were estimated from the perspective of the third-party payer.The greatest cost-generating events were virtually the same for the two drugs and included severe stroke ($1,758,548 for 1 year for both drugs), moderate stroke ($380,355 for 1 year for both drugs), and severe lower gastrointestinal (GI) hemorrhage ($193,804 for 1 year for warfarin and $193,474 for second drug). The least costly events for both drugs were mild intracranial or intracerebral hemorrhage ($7584 for warfarin and $4314 for second drug) and fatal upper GI hemorrhage ($16,781 and $16,752). Total costs for adverse events over 5 years were similar: $18,330,662 for warfarin and $17,102,847 for the second drug. Fatalities for 5 years were 123 for warfarin and 101 for the non-warfarin drug. Varying assumptions for nursing home care and numbers of ischemic strokes and hemorrhages generated the widest variation in costs.We did not account for out-of-pocket expenses, 'pain and suffering' costs, or variation across practice settings.There was substantial variation in numbers and costs of adverse events across 20 scenarios, and for fatalities between the two drugs, but variation in costs between the two drugs was modest.

Background Physicians, nurses, and others are at risk of needlesticks, yet little national information is available regarding incidence across demographic and occupational categories. Methods Analysis was conducted on national data on occupational injuries for 1992-2003 from the Bureau of Labor Statistics (BLS). Because BLS data were limited to cases with 1 or more days of work loss, and reasons related to reporting of incidents, the data only reflected a subset of all needlesticks. Nevertheless, the data were internally consistent across categories so that relative magnitudes were reliable. Statistical tests for differences in proportions were conducted that compared needlesticks with all other occupational injuries and employment. Results Cases with 1 or more days of work loss numbered 903 per year, on average, from 1992 through 2003. Women comprised 73.3% (95% CI: 72.5%-74.2%) of persons injured. For those reporting race, white, non-Hispanic comprised 69.3% of the total (95% CI: 68.1%-70.4%); black, non-Hispanic, 14.8% (95% CI: 13.9%-15.6%); and Hispanic, 13.8% (95% CI: 12.9%-14.6%). The age bracket 35 to 44 years had the highest percentage of injuries at 34.0% (95% CI: 33.1%-34.9%). Ages over 54 years reported smaller percentages of needlestick injuries than either all other injuries or employment. Occupations with greatest frequencies included registered nurses, nursing aides and orderlies, janitors and cleaners, licensed practical nurses, and maids and housemen. Occupations with greatest risks included biologic technicians, janitors and cleaners, and maids and housemen. Almost 20% (95% CI: 18.88%-20.49%) of needlesticks occurred outside the services industry. Seven percent (95% CI: 6.56%-7.53%) of needlesticks resulted in 31 or more days of work loss in contrast to 20.46% (95% CI: 20.44%-20.48%) of all other injuries. Conclusion In this nationally representative sample, the most frequent demographic and occupational categories were women; white, non-Hispanic; ages 35 to 44 years; and registered nurses.

We used longitudinal data and instrumental variables (IVs) in a prospective design to test for the causal effects of wages on smoking prevalence among current and past smokers.Nationally representative U.S. data were drawn from the 1999-2009 waves of the Panel Study of Income Dynamics. Our overall sample was restricted to full time employed persons, aged 21-65 years. We excluded part time workers and youths because smoking and wage correlations would be complicated by labor supply decisions. We excluded adult never smokers because people rarely begin smoking after the age of 20 years. IVs were created with state-level minimum wages and unionization rates. We analyzed subsamples of men, women, the less educated, the more educated, quitters, and backsliders. Validity and strength of instruments within the IV analysis were conducted with the Sargan-Hansen J statistic and F tests.We found some evidence that low wages lead to more smoking in the overall sample and substantial evidence for men, persons with high school educations or less (13 years of schooling), and quitters. Results indicated that 10% increases in wages lead to 5.5 and 4.6 percentage point decreases in smoking for men and the less educated; they also increased the average chance of quitting among base-year smokers from 17.0% to 20.4%. Statistical tests suggested that IVs were strong and valid in most samples. Subjects' other family income, including spouses' wages, was entered as a control variable.Increases in an individual's wages, independent of other income, decreased the prevalence of smoking among current and past smokers.

Background: California's workers' compensation law experienced an historic change on January 1, 2005. Previous methods used to rate permanent disability were replaced by new methods to rate permanent impairment. We sought to estimate the difference in ratings under the old and new law. Methods: We obtained 218 reports on injured workers from attorneys who represented injured workers. A disability expert rated disability and 15 physicians rated impairment. Results: Average percentage point ratings for impairment under the 2005 law were approximately one third the size of ratings for disability under the old law. This estimate showed little variation across demographic groups, physician-evaluators, or injured body part. Conclusion: Because cash benefits are keyed to impairment ratings, benefits for permanently disabled workers may decrease as much as 60 % under the new law.

Utilizing unique data from the federal government's Social Security office, we analyze the costs of providing workers' compensation by public vs private insurers. Our analysis has the advantage that public and private recipients are likely to be more similar than public (Medicare, Medicaid) and private recipients of health insurance in the US or Canadian economies. We find that public firms appear to provide workers' compensation insurance more efficiently than private firms.