An international assessment of the comprehensibility of material safety data sheets (MSDSs)

Material Safety Data Sheets (MSDSs) are an integral component of occupational hazard communication systems. These documents are used to disseminate hazard information to workers on chemical substances. The primary purpose of this study was to investigate the comprehensibility of MSDSs by workers at an international level. ^ A total of 117 employees of a multi-national petrochemical company participated; thirty-nine (39) each in the United States, Canada and the United Kingdom. Overall participation rate of those approached to participate was 82%. These countries were selected as they each utilize one of the three major existing hazard communication systems for fixed workplaces. The systems are comprised of the Occupational Safety and Health Administration's Hazard Communication Standard in the United States, the Workplace Hazardous Materials Information System (WHMIS) in Canada, and the compilation of several European Union directives addressing classification, labeling of substances and preparations, and MSDSs in Europe. ^ A pretest posttest randomized study design was used, with the posttest being comparable to an open book test. The results of this research indicated that only about two-thirds of the information on the MSDSs was comprehended by the workers with a significant difference identified among study participants based on country comparisons. This data was fairly consistent with the results of previous MSDS comprehensibility studies conducted in the United States. There was no significant difference in the comprehension level among study participants when taking into account the international hazard communication standard that the MSDS complied with. Marginally, age, education level and experience level did not have a significant impact on the comprehension level. ^ Participants did find MSDSs to be satisfactory in providing the information needed to protect them regardless of their views on the readability and formatting of MSDSs. The health-related information was the least comprehended as less than half of it was comprehended on the basis of the responses. The findings from this research suggest that there is much work needed yet to make MSDSs more comprehensible on a global basis, particularly regarding health-related information. ^

Comparing experience of diabetes care with chronic illness care in the primary care clinic using the Patient Assessment of Chronic Illness Care (PACIC)

Purpose. The overall purpose of the study was to evaluate the patient experience relevant to the Chronic Care Model as measured by the PACIC. Chronic illness care of patients with diabetes was compared to those with other chronic illnesses. In addition, chronic illness care of Hispanics was compared to those of other race/ethnicity. ^ Methods. The setting of this study was 20 primary care practices located in San Antonio, TX. The subjects in this study were consecutive adult patients age >18 yrs. Data was collected via a survey (PACIC) administered to 40-60 consecutive adult patients in each primary care clinic who presented for a scheduled appointment. ^ Results. Patient experience of the Chronic Care Model is different among those with diabetes than those with other chronic diseases: those with diabetes report a higher PACIC score. (P = 0.012) Although Hispanic patients report a higher PACIC score, patient experience of the Chronic Care Model among Hispanic patients is not significantly different than that of patients of other race/ethnicity regardless of chronic disease. (P = 0.053) After controlling for the patient characteristics of age, education, health status, and race/ethnicity, the diabetes status of the patient remains significantly associated with the outcome, the PACIC score. (P = 0.033) ^ Conclusions. Diabetes is associated with a greater experience of the Chronic Care model. Contributing factors to diabetes patients’ greater experience of the Chronic Care Model include the greater heath care use and higher self-care needs unique to individuals with diabetes. Special consideration must be given to the specific needs diabetic patients to ensure effective interventions, higher patient education, greater patient compliance, and lower health care costs. ^

A full pedigree based method for the statistical assessment of genetic anticipation

Genetic anticipation is defined as a decrease in age of onset or increase in severity as the disorder is transmitted through subsequent generations. Anticipation has been noted in the literature for over a century. Recently, anticipation in several diseases including Huntington's Disease, Myotonic Dystrophy and Fragile X Syndrome were shown to be caused by expansion of triplet repeats. Anticipation effects have also been observed in numerous mental disorders (e.g. Schizophrenia, Bipolar Disorder), cancers (Li-Fraumeni Syndrome, Leukemia) and other complex diseases. ^ Several statistical methods have been applied to determine whether anticipation is a true phenomenon in a particular disorder, including standard statistical tests and newly developed affected parent/affected child pair methods. These methods have been shown to be inappropriate for assessing anticipation for a variety of reasons, including familial correlation and low power. Therefore, we have developed family-based likelihood modeling approaches to model the underlying transmission of the disease gene and penetrance function and hence detect anticipation. These methods can be applied in extended families, thus improving the power to detect anticipation compared with existing methods based only upon parents and children. The first method we have proposed is based on the regressive logistic hazard model. This approach models anticipation by a generational covariate. The second method allows alleles to mutate as they are transmitted from parents to offspring and is appropriate for modeling the known triplet repeat diseases in which the disease alleles can become more deleterious as they are transmitted across generations. ^ To evaluate the new methods, we performed extensive simulation studies for data simulated under different conditions to evaluate the effectiveness of the algorithms to detect genetic anticipation. Results from analysis by the first method yielded empirical power greater than 87% based on the 5% type I error critical value identified in each simulation depending on the method of data generation and current age criteria. Analysis by the second method was not possible due to the current formulation of the software. The application of this method to Huntington's Disease and Li-Fraumeni Syndrome data sets revealed evidence for a generation effect in both cases. ^

The Comprehensive Assessment of Leadership for Learning: A Next Generation Formative Evaluation and Feedback System

Recent developments in federal policy have prompted the creation of state evaluation frameworks for principals and teachers that hold educators accountable for effective practices and student outcomes. These changes have created a demand for formative evaluation instruments that reflect current accountability pressures and can be used by schools to focus school improvement and leadership development efforts. The Comprehensive Assessment of Leadership for Learning (CALL) is a next generation, 360-degree on-line assessment and feedback system that reflect best practices in feedback design. Some unique characteristics of CALL include a focus on: leadership distributed throughout the school rather than as carried out by an individual leader; assessment of leadership tasks rather than perceptions of leadership practice; a focus on larger complex systems of middle and high school; and transparency of assessment design. This paper describes research contributing to the design and validation of the CALL survey instrument.

Risk of adult-onset asthma in Mexican-American women employed in food preparation or food service

Existing literature examining the association between occupation and asthma has not been adequately powered to address this question in the food preparation or food service industries. Few studies have addressed the possible link between occupational exposure to cooking fumes and asthma. This secondary analysis of cohort study data aimed to investigate the association between adult-onset asthma and exposure to: (a) cooking fumes at work or (b) longest-held employment in food preparation or food service (e.g. waiters and waitresses, food preparation workers, non-restaurant food servers, etc.). Participants arose from a cohort of Mexican-American women residing in Houston, TX, recruited between July 2001 and June 2007. This analysis used Cox proportional-hazards regression to estimate the hazard ratio of adult-onset asthma given the exposures of interest, adjusting for age, BMI, smoking status, acculturation, and birthplace. We found a strong association between adult-onset asthma and occupational exposure to cooking fumes (hazard ratio [HR] = 1.77; 95% confidence interval [CI], 1.15, 2.72), especially in participants whose longest-held occupation was not in the food-related industry (HR = 2.12; 95% CI, 1.21, 3.60). In conclusion, adult-onset asthma is a serious public health concern for food industry workers. ^

Selection bias and the cross-validation of regression models for prediction

Strategies are compared for the development of a linear regression model with stochastic (multivariate normal) regressor variables and the subsequent assessment of its predictive ability. Bias and mean squared error of four estimators of predictive performance are evaluated in simulated samples of 32 population correlation matrices. Models including all of the available predictors are compared with those obtained using selected subsets. The subset selection procedures investigated include two stopping rules, C$\sb{\rm p}$ and S$\sb{\rm p}$, each combined with an 'all possible subsets' or 'forward selection' of variables. The estimators of performance utilized include parametric (MSEP$\sb{\rm m}$) and non-parametric (PRESS) assessments in the entire sample, and two data splitting estimates restricted to a random or balanced (Snee's DUPLEX) 'validation' half sample. The simulations were performed as a designed experiment, with population correlation matrices representing a broad range of data structures.^ The techniques examined for subset selection do not generally result in improved predictions relative to the full model. Approaches using 'forward selection' result in slightly smaller prediction errors and less biased estimators of predictive accuracy than 'all possible subsets' approaches but no differences are detected between the performances of C$\sb{\rm p}$ and S$\sb{\rm p}$. In every case, prediction errors of models obtained by subset selection in either of the half splits exceed those obtained using all predictors and the entire sample.^ Only the random split estimator is conditionally (on $\\beta$) unbiased, however MSEP$\sb{\rm m}$ is unbiased on average and PRESS is nearly so in unselected (fixed form) models. When subset selection techniques are used, MSEP$\sb{\rm m}$ and PRESS always underestimate prediction errors, by as much as 27 percent (on average) in small samples. Despite their bias, the mean squared errors (MSE) of these estimators are at least 30 percent less than that of the unbiased random split estimator. The DUPLEX split estimator suffers from large MSE as well as bias, and seems of little value within the context of stochastic regressor variables.^ To maximize predictive accuracy while retaining a reliable estimate of that accuracy, it is recommended that the entire sample be used for model development, and a leave-one-out statistic (e.g. PRESS) be used for assessment. ^

A qualitative and quantitative assessment of cancer patients' perceptions of barriers to treatment

This study examined barriers that cancer patients experience in obtaining treatment. The principal aim of the study was to conduct a comprehensive quantitative and qualitative assessment of barriers to cancer treatment for Texas cancer patients. The three specific aims of the study were to: (1) conduct a review and critique of published and unpublished research on barriers to cancer treatment; (2) conduct focus groups for the qualitative assessment of cancer patients' perceived barriers to cancer treatment; and (3) survey a representative sample of cancer patients regarding perceived barriers to treatment. The study was guided by the Aday and Andersen access framework of predisposing, enabling, and need determinants of care-seeking.^ To address the first specific aim, a total of 732 abstracts were examined, from which 154 articles were selected for review. Of these 154 articles, 57 that related directly to research on barriers to cancer treatment were chosen for subsequent analysis. Criteria were applied to each article to evaluate the strength of the study design, sampling and measurement procedures. The major barriers that were consistently documented to influence whether or not cancer patients sought or continued required treatment included problems with communication between the patient and provider, lack of information on side effects, the cost of treatment and associated difficulties in obtaining and maintaining insurance coverage, and the absence of formal and informal networks of social support. Access barriers were generally greater for older, minority women, and patients of lower socioeconomic status.^ To address the second specific aim, a total of eight focus groups (n = 44) were conducted across the State of Texas with cancer patients identified by the Texas Community Oncology Network, American Cancer Society, and community health centers. One important finding was that cost is the greatest hurdle that patients face. Another finding was that with the health care/insurance crisis, an increasing number of physicians are working with their patients to develop individually-tailored payment plans. For people in rural areas, travel to treatment sites is a major barrier due to the travel costs as well as work time forfeited by patients and their family members. A third major finding was the patients' family and church play important roles in providing social and emotional support for cancer patients.^ To address the third aim, a total of 910 cancer patients were surveyed during October and November, 1993. Approximately 65% of the cancer patients responded to the survey. The findings showed that the major barriers to treatment included costs of medications and diagnostic tests, transportation, lack of social support, problems understanding the written information regarding their disease as well as losing coverage or having higher premiums or copayments once they were diagnosed (particularly among blacks).^ Significant differences in reported barriers were found between racial groups. The minority respondents (i.e., blacks and Hispanics) tended to experience more barriers to treatment compared to the white respondents. More specifically, Hispanics were more likely to report transportation as a barrier to treatment than both white and blacks. Future research is needed to better understand the problems that minority cancer patients experience in receiving treatment. (Abstract shortened by UMI.) ^

Assessing Distributed Leadership and the Successful Implementation of Evidence-Based Practices

Kelly and Halverson are to be congratulated on their contribution to the field of education. Their efforts in designing The Comprehensive Assessment of Leadership forLearning (CALL) represents a step forward inm the fomative assessment of distributed leadership in schools and their work is noteworthy in its rapid linking of survey assessment data to specific feedback and recommendations for users. Issues relevant to evidence-based practices, implementation, and professional common language are addressed in this commentary.