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Biomedical subjects

P Arbon

Publications and source records attributed to P Arbon.

4 recordsLinked to original sources
PubMed2005

The experience of making treatment decisions for women with early stage breast cancer: a diagrammatic representation.

Women who are making decisions about treatment for early stage breast cancer interact with a number of people when they are considering their treatment options and the impact breast cancer will have on their lives. Previous research has considered patient preferences for involvement in treatment decision-making and proposed factors that may influence breast cancer treatment decisions. However, to date, there has been a paucity of research focusing on the experience of making treatment decisions from the women's perspective. The aim of this paper is to describe the relationships between the women, the medical practitioners and other people, and to consider features that may be influential in the experience of making treatment decisions. Two models are proposed to represent concepts that are linked to the experience of making treatment decisions. The first model proposed has been formulated to represent factors that may influence the treatment decision. The second model highlights aspects of the women's lives that may be affected. This paper discusses concepts that are presented in the conceptual models and makes suggestions for future studies relating to the experience of making treatment decisions for women with breast cancer.

Adaptation, Psychological↗
PubMed1993

A multi-generational staff development model for registered nurses.

The paper focuses on a significant nursing initiative for staff development undertaken in South Australia. The initiative arose out of Health Commission funded consultancy which sought to develop a staff development model for registered nurses. The outcome of this consultancy was the development of a multi-generational staff development model, known as the DPS Staff Development Model. This model provides a framework through which staff development activities can be analysed, consolidated and extended. The paper outlines the DPS Staff Development Model, the context in which it was developed and its implications for nursing staff development programmes. The development of the model was premised on a number of assumptions. These included the need to ensure flexibility, longevity, offer a perspective of staff development that is realistic and practical, and facilitate in registered nurses a sense of ownership and personal responsibility with respect to their development. The model comprises six broad areas of focus: the Career Development Model for registered nurses in South Australia, the structure of the model, locations in which staff development occurs, elements which assist in maintaining skills and knowledge, elements which enhance growth and development and the processes and relationships necessary for the successful implementation of staff development programmes.

Career Mobility↗
PubMedDate not supplied

Mass gathering medicine: a predictive model for patient presentation and transport rates.

INTRODUCTION: This paper reports on research into the influence of environmental factors (including crowd size, temperature, humidity, and venue type) on the number of patients and the patient problems presenting to first-aid services at large, public events in Australia. Regression models were developed to predict rates of patient presentation and of transportation-to-a-hospital for future mass gatherings. OBJECTIVE: To develop a data set and predictive model that can be applied across venues and types of mass gathering events that is not venue or event specific. Data collected will allow informed event planning for future mass gatherings for which health care services are required. METHODS: Mass gatherings were defined as public events attended by in excess of 25,000 people. Over a period of 12 months, 201 mass gatherings attended by a combined audience in excess of 12 million people were surveyed throughout Australia. The survey was undertaken by St. John Ambulance Australia personnel. The researchers collected data on the incidence and type of patients presenting for treatment and on the environmental factors that may influence these presentations. A standard reporting format and definition of event geography was employed to overcome the event-specific nature of many previous surveys. RESULTS: There are 11,956 patients in the sample. The patient presentation rate across all event types was 0.992/1,000 attendees, and the transportation-to-hospital rate was 0.027/1,000 persons in attendance. The rates of patient presentations declined slightly as crowd sizes increased. The weather (particularly the relative humidity) was related positively to an increase in the rates of presentations. Other factors that influenced the number and type of patients presenting were the mobility of the crowd, the availability of alcohol, the event being enclosed by a boundary, and the number of patient-care personnel on duty. Three regression models were developed to predict presentation rates at future events. CONCLUSIONS: Several features of the event environment influence patient presentation rates, and that the prediction of patient load at these events is complex and multifactorial. The use of regression modeling and close attention to existing historical data for an event can improve planning and the provision of health care services at mass gatherings.

Anniversaries and Special Events↗