TQM implementation in hospitals

This paper discusses the essential elements for successful Total Quality Management (TQM) implementation in hospital, and the challenges that occur with such implementation. Guidelines for this implementation are provided to show how TQM tools can be used effectively in hospitals.     

Resource allocation in grid computing

Grid computing, in which a network of computers is integrated to create a very fast virtual computer, is becoming ever more prevalent. Examples include the TeraGrid and Planet-lab.org, as well as applications on the existing Internet that take advantage of unused computing and storage capacity of idle desktop machines, such as Kazaa, SETI@home, Climateprediction.net, and Einstein@home. Grid computing permits a network of computers to act as a very fast virtual computer. With many alternative computers available, each with varying extra capacity, and each of which may connect or disconnect from the grid at any time, it may make sense to send the same task to more than one computer. The application can then use the output of whichever computer finishes the task first. Thus, the important issue of the dynamic assignment of tasks to individual computers is complicated in grid computing by the option of assigning multiple copies of the same task to different computers. We show that under fairly mild and often reasonable conditions, maximizing task replication stochastically maximizes the number of task completions by any time. That is, it is better to do the same task on as many computers as possible, rather than assigning different tasks to individual computers. We show maximal task replication is optimal when tasks have identical size and processing times have a NWU (New Worse than Used; defined later) distribution. Computers may be heterogeneous and their speeds may vary randomly, as is the case in grid computing environments. We also show that maximal task replication, along with a c μ rule, stochastically maximizes the successful task completion process when task processing times are exponential and depend on both the task and computer, and tasks have different probabilities of completing successfully.     

Demands on Attention and the Role of Response Priming in Visual Discrimination of Feature Conjunctions.

This study examined how response mapping of features within single- and multiple-feature targets affects decision-based processing and attentional capacity demands. Observers judged the presence or absence of 1 or 2 target features within an object either presented alone or with distractors. Judging the presence of 2 features relative to the less discriminable of these features alone was faster (conjunction benefits) when the task-relevant features differed in discriminability and were consistently mapped to responses. Conjunction benefits were attributed to asynchronous decision priming across attended, task-relevant dimensions. A failure to find conjunction benefits for disjunctive conjunctions was attributed to increased memory demands and variable feature-response mapping for 2- versus single-feature targets. Further, attentional demands were similar between single- and 2-feature targets when response mapping, memory demands, and discriminability of the task-relevant features were equated between targets. Implications of the findings for recent attention models are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Housing policy in remote Indigenous communities: how politics obstructs good policy

Abstract

When it comes to issues of housing policy, remote Indigenous housing often presents the extreme case. The failures of housing policy are most acute in remote Indigenous Australia, but despite the need to learn from the policy mistakes of the past, there has been little detailed analysis of the policy history. Through documentary and empirical analysis, we show that policies have either failed to be adapted to cultural and geographic contexts or, when they have been culturally responsive, they have lacked attention to the complexities of service delivery. Despite differences in policy settings, the long view is one of the normalization of Indigenous communities, although research points to the need for culturally appropriate arrangements. We argue that rather than politically motivated short-termism, governments need to develop a medium- to long-term approach that approaches policy solutions incrementally, builds capacity within the state and Indigenous communities, and is based on the evidence.     

Shelf Life and Sensory Characteristics of Baby Spinach Subjected to Electron Beam Irradiation

Abstract: The use of ionizing radiation for the control of foodborne pathogens and extending the shelf life of fresh iceberg lettuce and fresh spinach has recently been approved by the U.S. Food and Drug Administration. The efficacy of electron beam irradiation for controlling foodborne pathogens has been reported. For this experiment, the effectiveness of electron beam irradiation on the microbiological and sensory characteristics of fresh spinach was studied. Total aerobic plate counts were reduced by 2.6 and 3.2 log CFU/g at 0.7 and 1.4 kGy, respectively. Lactic acid bacteria were reduced at both doses of e-beam but grew slowly over the 35 d of the experiment. Yeasts and molds were not reduced in samples exposed to 0.7 kGy whereas 1.4 kGy significantly reduced microbial counts. Gas compositions (O₂ and CO₂) were significantly different than controls. Oxygen levels inside the spinach sample bags decreased over time; however, O₂ levels did not drop below 1% that can induce anaerobic fermentation. CO₂ levels for all treatments increased through day 4; yet 7 d after irradiation, CO₂ level differences were not significant in both control and irradiated samples. Irradiation dose did not affect the basic tastes, aromatics, or mouth feels of fresh spinach, however; hardness attributes decreased as irradiated dose increased and slimy attributes of fresh spinach were higher in control samples compared to irradiated samples.     

Imagined empathy and attributions concerning activity preferences of physically disabled college students.

Investigated 89 college students' attributions about the activity preferences of able-bodied vs physically disabled peers and evaluated the effects of imagined empathy on attributional patterns and attitudes toward disabled people. Ss were asked to predict the responses of either a male or a female able-bodied or wheelchair-user college student to items on a 20-item questionnaire offering choices between gregarious–nongregarious activities and between active–passive activities. Results indicate that there was considerable variability in able-bodied students' attributions about disabled peers' activity preferences. Previous contact with disabled people was unrelated either to attitudes toward disabled people or to activity preference attributions. Asking students to imagine empathy for a disabled peer was not an effective technique to change either attributional patterns or attitudes toward disabled people. (16 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

An accident waiting to happen: a spatial approach to proactive pedestrian planning

There are about 75,000 pedestrian crashes in the United States each year. Approximately 5000 of these crashes are fatal, accounting for 12% of all roadway deaths. On college campuses, pedestrian exposure and crash-risk can be quite high. Therefore, we analyzed pedestrian crashes on the campus of the University of North Carolina at Chapel Hill (UNC) as a test case for our spatially-oriented prototype tool that combines perceived-risk (survey) data with police-reported crash data to obtain a more complete picture of pedestrian crash-risk. We use spatial analysis techniques combined with regression models to understand factors associated with risk. The spatial analysis is based on comparing two distributions, i.e. the locations of perceived-risk with police-reported crash locations. The differences between the two distributions are statistically significant, implying that certain locations on campus are perceived as dangerous, though pedestrian crashes have not yet occurred there, and there are actual locations of police-reported crashes that are not perceived to be dangerous by pedestrians or drivers. Furthermore, we estimate negative binomial regression models to combine pedestrian and automobile exposure with roadway characteristics and spatial/land use information. The models show that high exposure, incomplete sidewalks and high crosswalk density are associated with greater observed and perceived pedestrian crash-risk. Additionally, we found that people perceive a lower risk near university libraries, stadiums, and academic buildings, despite the occurrence of crashes.     

Mixed-model pairwise multiple comparisons of repeated measures means.

One approach to the analysis of repeated measures data allows researchers to model the covariance structure of the data rather than presume a certain structure, as is the case with conventional univariate and multivariate test statistics. This mixed-model approach was evaluated for testing all possible pairwise differences among repeated measures marginal means in a Between-Subjects?×?Within-Subjects design. Specifically, the authors investigated Type I error and power rates for a number of simultaneous and stepwise multiple comparison procedures using SAS (1999) PROC MIXED in unbalanced designs when normality and covariance homogeneity assumptions did not hold. J. P. Shaffer's (1986) sequentially rejective step-down and Y. Hochberg's (1988) sequentially acceptive step-up Bonferroni procedures, based on an unstructured covariance structure, had superior Type I error control and power to detect true pairwise differences across the investigated conditions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Depressive symptoms among American Indian adolescents: Psychometric characteristics of the Center for Epidemiologic Studies Depression Scale (CES-D).

The psychometric characteristics of the Center for Epidemiologic Studies Depression Scale (CES–D) were investigated with American Indian boarding school students (N?=?188; Grades 9–12). The CES–D showed good internal consistency (α?=?.82). Its dimensional structure was different from that described for adults, both Indian and non-Indian. Of the Indian students, 58% were classified as depressed, using the standard cutoff score of 16 or more, consistent with past studies of this age group. Alternative scoring methods were considered, based on persistence of symptoms as well as derived Diagnostic and Statistical Manual of Mental Disorders (DSM-III) and Research Diagnostic Criteria algorithms. Major gender differences were observed in the prevalence of reported symptoms as well as patterns of endorsement for certain CES–D items. The CES–D should be used with caution with American Indian adolescents, given the observed variation in its dimensional structure and uncertainty regarding appropriate cutoff scores. (PsycINFO Database Record (c) 2010 APA, all rights reserved)