Australian health review : a publication of the Australian Hospital Association
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This study aimed to measure the prevalence of malnutrition risk and assessed malnutrition in patients admitted to a cancer-specific public hospital, and to model the potential hospital funding opportunity associated with implementing routine malnutrition screening. ⋯ Early identification of malnutrition may expedite appropriate nutritional management and improve patient outcomes in addition to contributing to casemix-based reimbursement funding for health services. A successful business case for additional clinical resources to improve nutritional care was aided by demonstrating the link between malnutrition screening, hospital reimbursements and improved nutritional care. What is known about the topic? It is known that between 20 and 50% of hospital patients are malnourished and oncology patients are 1.7 times more likely to be malnourished than are other hospitalised patients. Despite the existence of practice guidelines for malnutrition screening of at-risk oncology patients, these are not routinely implemented. Identification of malnutrition in hospitalised patients is linked to casemix funding via DRG. Casemix reimbursement for malnutrition can be enhanced if: (1) malnutrition risk is identified; (2) malnutrition is diagnosed; (3) the word 'malnutrition' and an associated action plan is documented in the medical record; and (4) malnutrition is recognised and recorded by the clinical coder. Amendments to the ICD-10-AM in 2008 allowing malnutrition to be recognised as a complication for coding when it is documented by a dietitian in the medical history has hospital reimbursement implications for dietetic practice. Reimbursement potential for malnutrition has been calculated in public hospitals in Australia with varying results. What does this paper add? This paper reports the components of a successful business case made to enhance resources for identification and treatment of malnutrition on the basis of improved treatment as well as enhanced reimbursement potential resulting from changes to the ICD-10-AM. The present study adds to the body of literature showing that malnutrition coding contributes to casemix funding in Australian public hospitals, as well as internationally, and highlights the previously unreported opportunity for a cancer-specific health service. This work demonstrated that reassignment of a DRG based on a diagnosis of malnutrition altered the overall casemix funding value for 12% of audited patients. This compares with the findings of other authors who demonstrated hypothetical DRG changes and financial reallocation. What are the implications for practitioners? This paper highlights that practitioner-centred strategies are needed to enhance malnutrition identification, diagnosis, documentation and coding to maximise casemix reimbursement and better treat malnutrition in hospitals. Strategies include education of the dietetics, medical and health-information workforce. This manuscript provides a description of the conduct of quality-improvement activities that may support successful business cases for increased dietetic resources in future.
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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.
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Comparative Study
Hospital readmission among older adults with congestive heart failure.
To examine the factors associated with unplanned readmission among older adults with congestive heart failure (CHF) within 28 days of discharge from an index admission, within a large Australian health service. ⋯ The high risk of patients being readmitted from acute, subacute and aged-care services requires further review as these readmissions may be avoidable. It may also be useful to develop a readmission risk screening tool so that patients at risk of readmission can be identified. What is known about this topic? Older adults with CHF are likely to experience multiple readmissions to hospital. There have been several studies conducted on hospital readmissions; however, generalising the findings is problematic due to the use of variable definitions of what constitutes a readmission. What does this paper add? This paper addresses the absence of Australian research comparing groups of older patients with CHF who are readmitted to hospital with those who are not readmitted. It also adopts one of the more frequently used definitions of readmission to aid in future comparability of research. What are the implications for practice? Further work is necessary to improve discharge planning and effectively manage chronic illnesses such as CHF in patients' homes. It may be useful to develop a readmission risk screening tool for staff of inpatient medical wards so that these at-risk patients can be identified before discharge.