Health and Safety in a Family Child Care Network: An Analysis of Violation Data of Routine, Full Unannounced Inspections.

OBJECTIVE: To analyze how engagement with a staffed family child network is associated with compliance on health and safety regulations among family day care (FDC) homes. METHODS: Publically available data on health and safety inspection violations on FDC homes were merged with engagement data from a staffed family child network. Descriptive analysis, logistic regression, and latent class analysis were used. RESULTS: Network FDC homes, compared to non-network FDC homes, were less likely to have health and safety violations in the areas of Child/Family/Staff Documentation (43.1% vs. 53.6%, p = 0.001) and Indoor Safety (36.0% vs. 42.6%, p = .041). Controlling for area median income and for decades since obtaining license, network FDC homes had fewer violations, fewer violation categories, and less variety of violation categories. Additionally, FDC homes which were not engaged with the staffed family child network but were in the city or town in which the network offered services, performed better compared to FDC homes in cities or towns without network resources. CONCLUSIONS FOR PRACTICE: The better compliance among network FDC homes and among FDC homes in cities and towns where the network offers services, suggests that the network is having positive effects on health and safety quality in FDC homes. A staffed child care network may be a means to improve child care quality and may be a means of improving educational and health outcomes for children.

Impact of internet posting of restaurant inspection scores on critical violations.

Posting restaurant inspection scores on the Internet as a tool for improving food safety is becoming more common. The purpose of the study described in this article was to evaluate the association between Internet posting of restaurant inspection scores and the five most frequently cited critical violations in Salt Lake County, Utah. The study examined 2,995 inspections conducted at 796 full service and fast food restaurants for a one-year period before and after launch of a restaurant inspection Web site. Critical violations decreased significantly after the Web site launch compared to before-launch levels. The greatest improvements were found in temperature holding violations (odds ratio = 0.75, p < .001), hygiene practices violations (odds ratio = 0.68, p < .001) and equipment cleanliness violations (odds ratio = 0.58, p < .001). Restaurant type (full service, fast food), inspector experience, and season were significantly associated with the decrease in violations.

Organizational influence on working people's occupational noise protection in Hong Kong.

INTRODUCTION: While there is some evidence of the influences of personal knowledge and organizational factors on workers' hearing protection, a causal model examining relationships between these variables is lacking. METHOD: To create and test such a model, this study collected data from 1,701 workers in Hong Kong through a random sample telephone survey. RESULTS: Fitting the model to the data revealed that organizational regulation of occupational noise protection was a root cause of workers' protective behavior, whereas workers knowledge about the protection exhibited only a minimal effect. CONCLUSIONS: These findings cast doubt on the significance of personal knowledge as a unique factor contributing to noise protection. The study also finds that organizational regulation was predictable by a number of organizational and industrial factors. IMPACT ON INDUSTRY: To prevent occupational deafness, organizational regulation accompanied by regular inspection and a norm of noise protection is important.

Assessing reasonable worst-case full-shift exposure levels from data of variable quality.

Exposure assessors involved in regulatory risk assessments often need to estimate a reasonable worst-case full-shift exposure level from very limited exposure information. Full-shift exposure data of very high quality are rare. A full-shift value can also be calculated from (short term) task-based values, either derived from measured data or from models. The most simple option is to use the task based exposure levels as the full-shift value. A second option is to calculate a time-weighted average (TWA), using (reasonable worst case) estimates of the duration and the exposure level of the relevant tasks. The third option is to use a Monte Carlo analysis with estimated input distributions for exposure level and duration of exposure. If an estimated distribution of respiratory volume is also included, this leads to a distribution of inhaled amounts. The 90th percentile of such a distribution is generally substantially lower than the fixed point estimates calculated using high end values for each parameter. This technique can thus prevent unnecessary conservative estimates in risk assessment. The output distribution can also be used as valuable input to the risk management process, because it provides information on probabilities of exposure levels, that can influence the cost-benefit analysis of the risk management process. Finally, the sensitivity analysis of Monte Carlo simulation can give guidance for further studies to increase the accuracy of the exposure assessment.

Analysis of federally imposed penalties for violations of the Consolidated Omnibus Reconciliation Act.

STUDY OBJECTIVE: To identify the incidence of federally imposed penalties for violations of the Consolidated Omnibus Reconciliation Act (COBRA). METHODS: Under the Freedom of Information Act, we retrieved a copy of any document related to fines imposed on, settlements made by, or litigation against physicians or hospitals as a result of COBRA violations from the Office of the Inspector General. Under a separate inquiry, also under the Freedom of Information Act, we requested and received from the central office of the Health Care Financing Administration the National Composite Log showing the status of all complaint investigations pursuant to COBRA since the inception of the law. RESULTS: One thousand seven hundred fifty-seven complaint investigations were authorized. Of the 1,729 investigations completed, 412 (24%) were found to be out of compliance with federal regulations. Of these, 27 cases resulted in fines imposed on hospitals. These fines ranged from $1,500 to $150,000 with a mean of $33,917, a median of $25,000, and standard deviation of $35,899. The six fines that were imposed against physicians ranged in value from $2,500 to $20,000 with a mean of $8,500, a median of $7,500, and an SD of $8,612. Seven hospitals but no physicians were terminated from the Medicare program for COBRA violations. CONCLUSION: The incidence of federally imposed penalties for COBRA violations is low given the multitude of patient transfers that have occurred since the enactment of COBRA. The growing concern regarding this issue may be related to current litigation efforts to broaden the scope and applications of these laws.

Laboratory precision performance: state of the art versus operating specifications that assure the analytical quality required by clinical laboratory improvement amendments proficiency testing.

OBJECTIVE: To estimate the percent of laboratories with precision performance sufficient to satisfy the operating specifications and guarantee the quality required by the proficiency testing criteria defined by the Clinical Laboratory Improvement Amendments of 1988 (CLIA). DESIGN: Cumulative distributions that describe state-of-the-art laboratory imprecision were obtained for 1500 laboratories participating in the 1990 College of American Pathologists Quality Assurance Service. Allowable imprecision was estimated from the x-intercepts of charts of operating specifications prepared for commonly used single and multirule quality control procedures having two to four control measurements per run. MAIN OUTCOME MEASURE: The derived values for allowable imprecision were imposed on the cumulative distributions to obtain graphical estimates of the percent of laboratories satisfying the operating specifications. RESULTS: Up to 28% of laboratories achieve the imprecision allowable for albumin, up to 64% for total bilirubin, 52% for calcium, 35% for chloride, 48% for cholesterol, 28% for cortisol, 84% for creatinine, 9% for digoxin, 61% for glucose, 64% for high-density lipoprotein cholesterol, 88% for hemoglobin, 95% for potassium, 66% for total protein, 18% for sodium, 29% for thyroxine, 87% for triglycerides, 35% for urea nitrogen, and 81% for uric acid. CONCLUSION: Improvements in precision are still needed for many laboratory tests to assure the analytical quality required by the CLIA proficiency testing total error criteria.

Bankruptcy risk and state regulation of continuing care retirement communities.

Continuing care retirement communities (CCRCs) often require substantial financial investment from residents, prompting concern about potential losses to residents in the event of a CCRC's bankruptcy. State governments have responded to this concern with varying levels of regulation. Overall, CCRC bankruptcy rates are very low (.3% per year). We found that measures of varying regulation stringency had no effect on indicators of CCRCs' financial performance relating to bankruptcy risk. CCRCs that offer extensive contracts, including unlimited long-term care in addition to housing, have less positive indicators of financial strength than other types of CCRCs. When measured by traditional health care industry standards of financial strength, CCRCs appear less profitable than other types of health care facilities. This raises the question of whether CCRCs can continue to attract the needed capital from private markets and because of that, suggests that their future growth may be limited.

Smoking policies of licensed child day-care centers in the United States.

The authors analyzed data from a national survey of 2003 directors of licensed child day-care centers to determine employee smoking policies, measure compliance with state and local employee smoking regulations for child day-care centers and state clean indoor air laws, and to estimate the extent of exposure to environmental tobacco smoke in these settings. Forty states regulated employee smoking in child day-care centers, but only three states required day-care centers to be smoke-free indoors. More than 99% of licensed child day-care centers had employee smoking policies that complied with the appropriate state or local smoking regulations. Nearly 55% of centers were smoke-free indoors and outdoors, and 26% were smoke-free indoors only. The best predictors of more stringent employee smoking policies were location in the West or South, smaller size, independent ownership, or having written smoking policies. Despite the presence of strong smoking policies at the majority of licensed child day-care centers, more than 752,000 children in the United States are at risk for environmental tobacco smoke exposure in these settings. Health care professionals and parents should insist that child day-care centers be smoke-free indoors and, preferably, smoke-free indoors and outdoors.