Welfare of anaesthesia trainees survey.

This study was designed to investigate levels of stress, anxiety or depression and to identify factors compounding or relieving stress in anaesthesia trainees within the Australian and New Zealand College of Anaesthetists (ANZCA) training scheme. An electronic survey was sent to 999 randomly selected trainees and 428 responses were received. In addition to demographics, psychological wellbeing was assessed using the Kessler Psychological Distress Scale (K10) and questions were asked about depression and anxiety, exacerbating factors, personal healthcare and strategies used to manage stress. The majority of respondents (73%) reported being satisfied or very satisfied with their job and training. However, 28% of respondents had K10 scores indicating high or very high distress levels. Eleven percent reported being currently on treatment for anxiety and/or depression. Twenty-two percent reported having experienced bullying and 14% sexism. Twenty-eight percent reported that they did not have a regular general practitioner (GP), and 41% reported having not visited their GP in the previous year. Forty-seven percent of trainees reported that they self-prescribe medications. Major stressors reported were exams, critical clinical events and fear of making errors. Two stressors previously not identified in similar studies were concern about job prospects in 71% of respondents and workplace-based assessments in 51%. This survey demonstrates significant psychological impairment and poor personal healthcare amongst many trainees. Education, careful continuing assessment of trainees' welfare and a review of current support and remedial measures may be required.

Dimensions of managerial work in hospital dietetic services.

The objective of this study was to identify underlying dimensions of the managerial work of hospital dietetic services professional staff. A survey instrument was developed on the basis of Mintzberg's role theory of management. Respondents were asked to rate 80 activity statements on the relative importance and time demand of each. Principal component analysis was used to determine whether items could be conceptualized meaningfully by a smaller number of components capable of accounting for interrelationships. Reliabilities and correlations were computed for the resulting managerial factor scores. Six factors were identified from the importance ratings: Upper Management, Interaction with Subordinates, Outside Activities, Quality Assurance, Communication Activities, and Personnel Activities. Similar dimensions were identified from the time-demand ratings. Findings from this analysis suggest that managers in different functional specialties and at various organizational levels tend to vary in their allocation of time and to stress different roles. As a person rises on the administrative ladder of responsibility, concentration on extramural affairs and involvement in planning are greater, and concern with specific operational problems decreases. The importance of conceptual skills was especially evident in upper administrative positions, as was the critical need for intergroup skills.

Missing data in Likert ratings: A comparison of replacement methods.

The effects of using two methods (item mean and person mean) for replacing missing data in Likert scales were studied. The results showed that both methods were good representations of the original data when both the number of respondents with missing data and the number of items missing were 20% or less. As the numbers of missing items and of respondents with missing data increased for the person mean substitution method, a spurious increase in the inter-item correlations (and, therefore, reliability) for the sale was produced. The item mean substitution reduced the reliability estimates of the scale. These results suggest caution in the use of the person mean substitution method as the numbers of missing items and respondents increase.

The changing face of MMPI practice.

To assess the status of changing MMPI practice a questionnaire was sent by mail to 368 licensed psychologists in Kansas with a 40% response rate (N = 147). The modal respondent had 14.2 yr. of experience. Virtually all reported that they currently used the MMPI: 37.0% reported using the MMPI, 80.1% MMPI-2, and 40.4% MMPI-A. A majority (67.6%) used computerized scoring with local scoring used by three out of four respondents. Computerized administration was used by 15.9% and computerized interpretation by 43.8%. Most used both High Point Codes (91%) and Elevation (84.7%) for interpretations. Two of three respondents thought that the High Point Codes and Elevations for the MMPI and MMPI-2 are related. The results of this survey of current practice suggest that many practitioners may be making false assumptions about the nature of the MMPI-2 and MMPI-A and their relationships with the original MMPI. If the MMPI is to retain its hard-fought presence as a diagnostic, forensic, and selection tool, we must pay greater attention to these issues.

Parameterized complexity analysis in computational biology.

Many computational problems in biology involve parameters for which a small range of values cover important applications. We argue that for many problems in this setting, parameterized computational complexity rather than NP-completeness is the appropriate tool for studying apparent intractability. At issue in the theory of parameterized complexity is whether a problem can be solved in time O(n alpha) for each fixed parameter value, where alpha is a constant independent of the parameter. In addition to surveying this complexity framework, we describe a new result for the Longest Common Subsequence problem. In particular, we show that the problem is hard for W[t] for all t when parameterized by the number of strings and the size of the alphabet. Lower bounds on the complexity of this basic combinatorial problem imply lower bounds on more general sequence alignment and consensus discovery problems. We also describe a number of open problems pertaining to the parameterized complexity of problems in computational biology where small parameter values are important.