Australian health review : a publication of the Australian Hospital Association
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Health workforce training in the 21st century is still based largely on 20th century healthcare paradigms that emphasise professionalisation at the expense of patient-focussed care. This is illustrated by the paradox of increased training times for health workers that have corresponded with workforce shortages, the limited career options and pathways for paraprofessional workers, and inefficient clinical training models that detract from, rather than add to, service capacity. ⋯ The benefits of a clinically based, competency-based model include an increase in clinical service capacity, and clinical training resources become a resource for the delivery of healthcare, not just education. Existing training models are unsustainable, and are not preparing a workforce with the flexibility the 21st century demands.
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To explore the practices of members of the Australian and New Zealand Society of Palliative Medicine (ANZSPM) in assessing and treating depression in palliative care patients. ⋯ This is the first Australasian study to explore the practice of medical practitioners regarding depression in palliative patients. Incorporation of screening tool questions into palliative care assessment interviews may warrant future research. WHAT IS KNOWN ABOUT THE TOPIC? Depression in palliative care patients has a negative impact on quality of life; however, little is known about how Australasian palliative care medical practitioners manage depression in this patient population. WHAT DOES THIS PAPER ADD? To the researchers' knowledge, this is the first Australasian study that explores the practices of local palliative care specialists in the management of depression in palliative patients. WHAT ARE THE IMPLICATIONS FOR PRACTITIONERS? Overall management of depression in palliative care populations by Australasian practitioners is similar to that of their European colleagues. Consensus is that for assessment of depression in palliative patients, non-somatic symptoms of DSM-IV criteria are more useful than somatic symptoms. Practitioners report the need for improved access to psychiatric, psychological and other support services, for a palliative care-specific depression screening tool and for depression management guidelines applicable to palliative care patients.
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The aim of the present study was to assess the suitability of emergency department (ED) discharge diagnosis for identifying patient cohorts included in the definitions of key performance indicators (KPIs) that are used to evaluate ED performance. ⋯ There is substantial variation in the capture of patient cohorts using discharge diagnosis as recorded on Queensland Hospital Emergency Department data. WHAT IS KNOWN ABOUT THE TOPIC? There are several existing KPIs that are defined according to the diagnosis recorded on ED data collections. However, there have been concerns over the quality of ED diagnosis in Queensland and other jurisdictions, and the value of these data in identifying patient cohorts for the purpose of assessing ED performance remains uncertain. WHAT DOES THIS PAPER ADD? This paper identifies diagnosis codes that are suitable for use in capturing the patient cohorts that are used to evaluate ED performance, as well as those codes that may be of limited value. WHAT ARE THE IMPLICATIONS FOR PRACTITIONERS? The limitations of diagnosis codes within ED data should be understood by those seeking to use these data items for healthcare planning and management or for research into healthcare quality and outcomes.
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This paper aims to examine whether an adaptation of the International Classification of Disease (ICD) coding system can be applied retrospectively to final paramedic assessment data in an ambulance dataset with a view to developing more fine-grained, clinically relevant case definitions than are available through point-of-call data. ⋯ Ambulance paramedic assessment data can be aligned with ICD-10-AM and MDC with relative ease, allowing retrospective coding of large datasets. Coding of ambulance data using ICD-10-AM allows for comparison of not only ambulance service users but also with other population groups. WHAT IS KNOWN ABOUT THE TOPIC? There is no reliable and standard coding and categorising system for paramedic assessment data contained in ambulance service databases. WHAT DOES THIS PAPER ADD? This study demonstrates that ambulance paramedic assessment data can be aligned with ICD-10-AM and MDC with relative ease, allowing retrospective coding of large datasets. Representation of ambulance case types using ICD-10-AM-coded information obtained after paramedic assessment is more fine grained and clinically relevant than point-of-call data, which uses caller information before ambulance attendance. WHAT ARE THE IMPLICATIONS FOR PRACTITIONERS? This paper describes a model of coding using an internationally recognised standard coding and categorising system to support analysis of paramedic assessment. Ambulance data coded using ICD-10-AM allows for reliable reporting and comparison within the prehospital setting and across the healthcare industry.