Australia’s first Pharmacists Immunisation Pilot – about the service

Background: The first phase of the Queensland Pharmacist Immunisation Pilot (QPIP) ran between April and August 2014, to pilot pharmacists administering influenza vaccinations for the flu season for the first time in Australia. Aim: An aim was to investigate factors facilitating implementation of a pharmacist vaccination service in the community pharmacy setting. Method: The QPIP pharmacies were divided into two arms; the South East Queensland arm consisting of 51 Terry White Chemists (TWCs), and 29 pharmacies in the North Queensland (NQ) arm. The TWCs featured pharmacies which previously provided a vaccination service and that were experienced with using an online booking system, providing an opportunity to capture booking data. Results: The TWCs delivered 9902 (90%) of the influenza vaccinations in QPIP. Of these, 48.5% of the vaccines were delivered via appointments made using the online booking system, while 13.3% were in-store bookings. Over one-third (38.2%) of the vaccinations delivered in were “walk-ins” where the vaccination was delivered ‘on the spot’ as spontaneous or opportunistic vaccinations. The absence of a booking system meant all vaccinations delivered in the NQ arm were “walk-ins”. The online-booking data showed 10:00 am and Tuesday being the most popular time and day for vaccinations. Patients preferred having their vaccinations in private consultation rooms, over areas which used a screen to partition off a private area. Discussion: The presence of an online booking system appeared to increase the efficiency and penetration of the of vaccine service delivery. Also, as the level of privacy afforded to patients increased, the number of patients vaccinated also increased. Conclusions: As pharmacist-delivered vaccination services start to progressively roll out across Australia; these findings pave the way for more efficient and effective implementation of the service.

A Distributed Robotic Vision Service

Robotic vision is limited by line of sight and onboard camera capabilities. Robots can acquire video or images from remote cameras, but processing additional data has a computational burden. This paper applies the Distributed Robotic Vision Service, DRVS, to robot path planning using data outside line-of-sight of the robot. DRVS implements a distributed visual object detection service to distributes the computation to remote camera nodes with processing capabilities. Robots request task-specific object detection from DRVS by specifying a geographic region of interest and object type. The remote camera nodes perform the visual processing and send the high-level object information to the robot. Additionally, DRVS relieves robots of sensor discovery by dynamically distributing object detection requests to remote camera nodes. Tested over two different indoor path planning tasks DRVS showed dramatic reduction in mobile robot compute load and wireless network utilization.

New perspectives on design and delivery: The context of service desk

This research has identified the trends apparent in service desk design and delivery literature. By doing archival analysis, this investigation has led to the development of a generic framework which has identified three themes in service desk design – User groups, Support models, and Technology types – and two themes in service desk delivery – Direction of delivery, and Executive support level. This research also aims to provide an understanding of service desk functions and the challenges faced by organisations in delivering those functions.

Toward Self-Organising Service Communities

This paper discusses a framework in which catalog service communities are built, linked for interaction, and constantly monitored and adapted over time. A catalog service community (represented as a peer node in a peer-to-peer network) in our system can be viewed as domain specific data integration mediators representing the domain knowledge and the registry information. The query routing among communities is performed to identify a set of data sources that are relevant to answering a given query. The system monitors the interactions between the communities to discover patterns that may lead to restructuring of the network (e.g., irrelevant peers removed, new relationships created, etc.).

Reducing the global burden of depression : population level analysis of intervention cost-effectiveness in 14 world regions

International evidence on the cost and effects of interventions for reducing the global burden of depression remain scarce. Aims: To estimate the population-level cost-effectiveness of evidence-based depression interventions and their contribution towards reducing current burden. Method: Primary-care-based depression interventions were modelled at the level of whole populations in 14 epidemiological subregions of the world. Total population-level costs (in international dollars or I$) and effectiveness (disability adjusted life years (DALYs) averted) were combined to form average and incremental cost-effectiveness ratios. Results: Evaluated interventions have the potential to reduce the current burden of depression by 10–30%. Pharmacotherapy with older antidepressant drugs, with or without proactive collaborative care, are currently more cost-effective strategies than those using newer antidepressants, particularly in lower-income subregions. Conclusions: Even in resource-poor regions, each DALYaverted by efficient depression treatments in primary care costs less than 1 year of average per capita income, making such interventions a cost-effective use of health resources. However, current levels of burden can only be reduced significantlyif there is a substantialincrease substantial increase intreatment coverage.