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Purpose: This preliminary investigation examined speech-language pathologists' (SLPs') use of contextualized practices (i.e., functional, personally relevant, nonhierarchical, and collaborative) compared with traditional practices (i.e., clinical, generic, hierarchical, and expert driven) with school-age children and adolescents with traumatic brain injury (TBI). Methods: An electronic survey asked SLPs about their use of clinical activities described as more or less contextualized. Research questions focused on frequency of using contextualized practices and factors associated with their use or nonuse. Results: Seventy responses met criteria for analysis; 98% of these participants reported using at least 1 contextualized practice. Higher use of contextualized practices was associated with working in schools compared to health care settings, access to experts, and greater experience with TBI. Most frequently cited reasons for not using contextualized practices included not fitting the student and scheduling issues. Conclusions: Factors associated with using contextualized practices suggest that access to experts and experience with TBI are critical components for facilitating contextualized practice recommendations. Reasons for not using certain contextualized practices highlight the need to address scheduling issues and to increase education about practices that may best meet the unique needs of students with TBI. [ABSTRACT FROM AUTHOR]

Introduction: Adults with vision loss often have difficulties reading prescription drug labels. An aspect of label readability that has not been well explored is the effect of container shape on the readability of the label. The research question addressed is: Does container shape affect the readability of prescription drug labels for persons with reduced visual acuity? Methods: A repeated-measure, single-factor design with within-subject control was used with 23 adults with visual acuity of 20/60 or less. Individuals were recruited from southwest Michigan. Participants read 3 unique prescription drug labels on 4 differently shaped containers (flat, box, small cylinder, large cylinder) in block randomized order, for a total of 12 trials. The amount of time needed to locate and read aloud 6 pieces of label information and number of errors made in reading were measured, as well as each participant's preference in container shapes. Results: A statistically significant difference was found between the mean number of seconds required to read flat container labels (flat and box shape, M = 54.62 seconds, SD = 23.8) and round containers (small and large cylinder shape, M = 64.46 seconds, SD = 36.3). No statistically significant effect of container type was found on the number of mistakes made in reading the label information, Wald χ2(3) = .71, p = 0.871. Seventy-eight percent of the participants chose the flat container as their preferred shape. Only 1 participant selected the box as his or her top choice. Discussion: Containers with flat surfaces (flat and box) were easier to read, measured by speed, compared to containers with round surfaces (small and large cylinders). Although the study participants overwhelmingly preferred flat containers to the boxes, little difference was found between the two shapes in the amount of time that was needed to read labels affixed to them. Implications for practitioners: Individuals with vision loss may need more time to read prescription drug labels affixed to the more typical cylindrical containers compared to flat ones. [ABSTRACT FROM AUTHOR]

The objective of this study was to examine food selectivity in children with autism spectrum disorders longitudinally. Additionally explored were the stability of the relationship between food selectivity and sensory over-responsivity from time 1 to time 2 and the association between food selectivity and restricted and repetitive behavior at time 2. A total of 52 parents of children with autism were surveyed approximately 20 months after completing an initial questionnaire. First and second surveys each contained identical parent-response item to categorize food selectivity level and a scale to measure sensory over-responsivity. A new scale to measure restricted and repetitive behaviors was added at time 2. Results comparing time 1 to time 2 indicated no change in food selectivity level and a stable, significant relationship between food selectivity and sensory over-responsivity. The measure of restrictive and repetitive behavior (time 2) was found to significantly predict membership in the severe food selectivity group. However, when sensory over-responsivity and both restricted and repetitive behaviors were included in the regression model, only sensory over-responsivity significantly predicted severe food selectivity. These results support conclusions about the chronicity of food selectivity in young children with autism and the consistent relationship between food selectivity and sensory over-responsivity. [ABSTRACT FROM PUBLISHER]

Objectives. To efficiently help communities prevent and manage diabetes, health departments need to be able to target populations with high risk but low resources. To aid in this process, we mapped county-level diabetes-related rates and resources/use using publicly available secondary data to identify Michigan counties with high diabetes prevalence and low or no medical and/or community resources. Methods. We collected county-level diabetes-related rates and resources from Web-based sources and mapped them using geographic information systems (GIS) software. Data included age-adjusted county diabetes rates, diabetes-related medical resource and resource use (i.e., the number of endocrinologists and percentage of Medicare patients with diabetes who received hemoglobin A1c testing in the past year), community resources (i.e., the number of certified diabetes self-management education and diabetes support groups), as well as population estimates and demographics (e.g., rural residence, education, poverty, and race/ethnicity). We created GIS maps highlighting areas that had higher-than-median rates of disease and lower-than-median resources. We also conducted linear, logistic, and Poisson regression analyses to confirm GIS findings. Results. There were clear regional trends in resource distribution across Michigan. The 15 counties in the Upper Peninsula were lacking in medical resources but higher in community resources compared with the 68 counties in the Lower Peninsula. There was little apparent association between need (diabetes prevalence) and diabetes-related resources/use. Specific counties with high diabetes prevalence and low resources were easily identified using GIS mapping. Conclusion. Using public data and mapping tools identified diabetes health-service shortage areas for targeted public health programming. [ABSTRACT FROM AUTHOR]