Australian health review : a publication of the Australian Hospital Association
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Comparative Study
Influenza pandemic 2009/A/H1N1 management policies in primary care: a comparative analysis of three countries.
During the influenza pandemic 2009/A/H1N1, the main burden of managing patients fell on primary care physicians (PCP). This provided an excellent opportunity to investigate the implications of pandemic policies for the PCP role. ⋯ Health authorities need to engage with representatives of PCP to evaluate policies for pandemic planning and management. Adequate support and protection for PCP during different stages of pandemic management should be provided. What is known about the topic? During the influenza pandemic 2009/A/H1N1, the main burden of diagnosing and managing the patients fell on PCP. The prominent role of PCP in the 2009/A/H1N1 pandemic presents an excellent opportunity to investigate implications of pandemic policies for primary care and to tackle the possible problems that these policies may impose on the ability of PCP to effectively participate in the public health response. What does this paper add? This paper examines policies that affected the roles of PCP in managing the influenza pandemic 2009/A/H1N1 in three countries: Australia, Israel and England. Although general evaluations of the pandemic response in different countries have previously been reported, this is the first study that focuses on policies for pandemic management at the primary care level. What are the implications for practitioners? Practitioners (PCP and primary care workers in general) would benefit if pandemic preparedness plans were constructed to provide an adequate system of support and protection to primary care workers during different stages of pandemic management. For policy makers, this analysis may help to overhaul the strategies for primary care engagement in the pandemic response.
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This study aimed to better understand the carbon emission impact of haemodialysis (HD) throughout Australia by determining its carbon footprint, the relative contributions of various sectors to this footprint, and how contributions from electricity and water consumption are affected by local factors. ⋯ State-by-state contributions of energy and water use to the carbon footprint of satellite HD appear to vary significantly. Performing emissions planning and target setting at the state level may be more appropriate in the Australian context. What is known about the topic? Healthcare provision carries a significant environmental footprint. In particular, conventional HD uses substantial amounts of electricity and water. In the UK, provision of HD and peritoneal dialysis was found to have an annual per-patient carbon footprint of 7.1t CO2-eq. What does this paper add? This is the first carbon-footprinting study of HD in Australia. In Victoria, the annual per-patient carbon footprint of satellite conventional HD is 10.2t CO2-eq. Notably, the contributions of electricity and water consumption to the carbon footprint varies significantly throughout Australia when local factors are taken into account. What are the implications for practitioners? We recommend that healthcare providers consider local factors when planning emissions reduction strategies, and target setting should be performed at the state, as opposed to national, level. There is a need for more comprehensive and current emissions data to enable healthcare providers to do so.
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The present study was designed to further understand the psychosocial drivers of crowds impacting on the demand for healthcare. This involved analysing different spectator crowds for medical usage at mass gatherings; more specifically, did different football team spectators (of the Australian Football League) generate different medical usage rates. ⋯ The present study has attempted to scientifically explore psychosocial elements of crowd behaviour as a driver of demand for emergency medical care. In measuring demand for emergency medical services there is a need to develop a more sophisticated understanding of a variety of drivers in addition to traditional metrics such as temperature, crowd size and other physical elements. In this study we saw that spectators who supported different football teams generated statistically significant differences in PPR. What is known about this topic? Understanding the drivers of emergency medical care is most important in the mass gathering setting. There has been minimal analysis of psychological 'crowd' variables. What does this paper add? This study explores the psychosocial impact of supporting a different team on the PPR of spectators at Australian Football League matches. The value of collecting and analysing these types of data sets is to support more balanced planning, better decision support and knowledge management, and more effective emergency medical demand management. What are the implications for practitioners? This information further expands the body of evidence being created to understand the drivers of emergency medical demand and usage. In addition, it supports the planning and management of emergency medical and health-related requirements by increasing our understanding of the effect of elements of 'crowd' that impact on medical usage and emergency healthcare.
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A trial of a new model of triage (Specific and Timely Appointments for Triage: STAT) at a community rehabilitation program (CRP) reduced the mean time to first appointment from 17.5 to 10.0 days. However, quantitative findings reveal little about the impact of the system on those who used it. We aimed to explore the experiences of patients and clinicians following the introduction of STAT. ⋯ The qualitative data provide context to the quantitative results by showing that the changes that reduced waiting times were also well accepted and perceived to be beneficial by both patients and clinicians. What is known about the topic? Triage systems are widely used but can contribute to inefficiencies in health care. An alternative method of triage (STAT) using early allocation to face-to-face appointments has been shown to reduce waiting times in a community rehabilitation service. What does this paper add? This paper explains and adds important context to the quantitative findings by exploring the perceptions of the staff and patients who experienced both the existing and alternative models of triage. What are the implications for practitioners? The STAT model was well received by staff and patients, suggesting that this simple intervention was a feasible and effective method of reducing waiting times for community rehabilitation, and may be applicable to other services that share similar features.