Can we get General Practitioners to Promote Physical Activity? Results of the 10,000 Steps Rockhampton Community-Based Physical Activity Promotion Project

Evidence supporting the efficacy of physical activity promotion in primary care settings has evaluated patient-level changes in physical activity, with little focus on the issue of general practitioner (GP) uptake. The 'GP Strategy' of 10,000 Steps Rockhampton provided an opportunity to explore this issue in the context of a multi-strategy, community-based physical activity intervention project. The 'GP Strategy' was developed in partnership with the Capricornia Division of General Practice. It aimed to: 1) increase GP awareness of the 10,000 Steps project, 2) upskill GPs in brief physical activity counselling techniques, and 3) provide GPs with evidencebased physical activity counselling materials and pedometers. The evaluation, which was guided by the RE-AIM evaluation framework, used a pre-post design, including a GP mailed survey, and collection of process data. Survey response rates were 67% (n=44/66; baseline) and 70% (n=37/53; 14-month follow-up). GP awareness of 10,000 Steps Rockhampton increased from 46% to 97%. 21/23 practices were visited by 10,000 Steps staff and accepted 10,000 Steps posters, brochures, and pedometers. At follow-up, 78% had displayed the poster, 81% were using the brochures, and 70% had loaned pedometers to patients. Despite the very high rate of uptake and use of 10,000 Steps materials, there was no change in the percentage of patients counselled, and relatively few pedometers had been loaned to patients. The results of this trial indicate that it will take more effort to change GP physical activity counselling behaviour, and provide only modest support for use of pedometers in the busy general practice setting. Acknowledgement:This project is supported by a grant from Health Promotion Queensland.

Power perceptions and modes of complaining in higher education

This study examines the relationship between student perceptions of different types of educator power and different modes of student complaining behaviour in the case of university education. A large sample of marketing students in the business school responded to the study from a state university in Northeastern United States. Factor analysis and canonical correlation analysis are used to explore the relationships between five bases of power perceptions (referent, expert, reward, legitimate, and punishment) and four modes of complaining behaviour (voice, negative word of mouth, third party, and exit). The results indicate that students engage in different modes of complaining as they perceive different types of educator power. The predominant complaining mode is found to be voice under referent or expert power, third party under legitimate power, and exit under reward or punishment power. Our findings offer important implications for student satisfaction, retention, and completion rates in higher education.

A mathematical model of coal-fired fluidised bed boilers

A mathematical model of a large coal-fired fluidized bed boiler for power generation is synthesised. The effect of variations in the main parameters of the model on variables such as the background carbon concentrations in the bed, and the transient response of heat evolution are studied. The mechanisms of solids mixing within the bed, combustion and the flow of heat to the boiler tubes are shown to result in a characteristic dynamic response, knowledge of which is essential for the proper control and regulation of a practical system.

Mathematical modelling of patient risks in a hospital environment, using multiple regression analysis

The aim of this research work was primarily to examine the relevance of patient parameters, ward structures, procedures and practices, in respect of the potential hazards of wound cross-infection and nasal colonisation with multiple resistant strains of Staphylococcus aureus, which it is thought might provide a useful indication of a patient's general susceptibility to wound infection. Information from a large cross-sectional survey involving 12,000 patients from some 41 hospitals and 375 wards was collected over a five-year period from 1967-72, and its validity checked before any subsequent analysis was carried out. Many environmental factors and procedures which had previously been thought (but never conclusively proved) to have an influence on wound infection or nasal colonisation rates, were assessed, and subsequently dismissed as not being significant, provided that the standard of the current range of practices and procedures is maintained and not allowed to deteriorate. Retrospective analysis revealed that the probability of wound infection was influenced by the patient's age, duration of pre-operative hospitalisation, sex, type of wound, presence and type of drain, number of patients in ward, and other special risk factors, whilst nasal colonisation was found to be influenced by the patient's age, total duration of hospitalisation, sex, antibiotics, proportion of occupied beds in the ward, average distance between bed centres and special risk factors. A multi-variate regression analysis technique was used to develop statistical models, consisting of variable patient and environmental factors which were found to have a significant influence on the risks pertaining to wound infection and nasal colonisation. A relationship between wound infection and nasal colonisation was then established and this led to the development of a more advanced model for predicting wound infections, taking advantage of the additional knowledge of the patient's state of nasal colonisation prior to operation.