Готові списки джерел за темами / Hospital utilization Australia

Добірка наукової літератури з теми "Hospital utilization Australia"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 29 січня 2023

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Статті в журналах з теми "Hospital utilization Australia"

1

Eldridge, Damien S., Ilke Onur, and Malathi Velamuri. "The impact of private hospital insurance on the utilization of hospital care in Australia." Applied Economics 49, no. 1 (July 13, 2016): 78–95. http://dx.doi.org/10.1080/00036846.2016.1192273.

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2

Palmer, George, and Jean Freeman. "Comparisons of Hospital Bed Utilization in Australia and the United States Using DRGs." QRB - Quality Review Bulletin 13, no. 7 (July 1987): 256–61. http://dx.doi.org/10.1016/s0097-5990(16)30142-7.

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3

SUNDARARAJAN, V., T. KORMAN, C. MACISAAC, J. J. PRESNEILL, J. F. CADE, and K. VISVANATHAN. "The microbiology and outcome of sepsis in Victoria, Australia." Epidemiology and Infection 134, no. 2 (August 19, 2005): 307–14. http://dx.doi.org/10.1017/s0950268805004796.

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We analysed data from 33741 patients with ICD-10-AM-defined sepsis from an Australian hospital morbidity dataset to investigate the relationships between specific types of organisms, potential risk factors for infection, organ dysfunction, ICU utilization and hospital mortality. A total of 24% of patients received some of their care in an intensive care unit, and the overall hospital mortality rate was 18%. Gram-positive bacteria were isolated in 27% of cases and Gram-negative bacteria in 20%. Sepsis due to Staphylococcus aureus was associated with vascular and joint devices whereas Pseudomonasaeruginosa and Gram-negative rods were more common with genitourinary devices and lymphoproliferative disease. Sepsis-associated organ dysfunction most commonly involved the respiratory system, followed by the renal and circulatory systems. These patterns may provide useful clues to the pathogenesis and therapy of this often fatal syndrome which is a major ongoing problem for hospitalized patients.
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4

Paterson, NA, JK Peat, CM Mellis, W. Xuan, and AJ Woolcock. "Accuracy of asthma treatment in schoolchildren in NSW, Australia." European Respiratory Journal 10, no. 3 (March 1, 1997): 658–64. http://dx.doi.org/10.1183/09031936.97.10030658.

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Insufficient use of anti-inflammatory drugs, such as inhaled corticosteroids and cromoglycate, may contribute to the disease burden associated with asthma. Conversely, aggressive treatment of mild disease may result in avoidable costs and/or adverse drug effects. The aim of this study was to determine the relationship between asthma severity and inhaled corticosteroid/cromoglycate use in a large (n=4,909) random sample of children, aged 8-11 yrs, in NSW, Australia. Asthma and its treatment were assessed by questionnaire responses. Asthma, defined as diagnosis plus current wheeze, was present in 901 children (18% of the sample), of whom 225 (5%) had moderate asthma, defined as asthma plus additional symptoms (sleep disturbance), utilization (hospital, casualty), or disability (reduced activity, school absence). Use of inhaled corticosteroid/cromoglycate was reported by 636 children (13% of the sample). Determinants of use included: asthma diagnosis, current wheeze, and troublesome dry nocturnal cough. There was also a strong relationship between anti-inflammatory treatment and a multicomponent asthma severity score constructed for each child. Inhaled corticosteroids and/or cromoglycate were used by 56% of the children with asthma (24% daily) and by 76% of children with moderate asthma (42% daily). Undertreatment, defined as less than daily inhaled corticosteroids/cromoglycate in moderate asthma, was identified in 130 children (14% of those with asthma or 3% of the sample). Conversely, apparently aggressive treatment, defined as inhaled corticosteroid/cromoglycate use in children with persistent minimal symptoms (asthma severity score of less than 3) was identified in 101 children (2% of the sample). Although there were significant differences between regions in the choice of anti-inflammatory drugs and in the prevalence both of undertreatment and apparently aggressive treatment, there was no clear relationship to regional utilization of emergency and hospital services for asthma. Nevertheless, the frequency of undertreatment suggests an opportunity to reduce asthma morbidity by more consistent application of current therapeutic guidelines.
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5

Doessel, D. P., Roman W. Scheurer, David C. Chant, and Harvey Whiteford. "Financial incentives and psychiatric services in Australia: an empirical analysis of three policy changes." Health Economics, Policy and Law 2, no. 1 (January 2007): 7–22. http://dx.doi.org/10.1017/s1744133106006244.

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Анотація:
Australia has a national, compulsory and universal health insurance scheme, called Medicare. In 1996 the Government changed the Medicare Benefit Schedule Book in such a way as to create different financial incentives for consumers or producers of out-of-hospital private psychiatric services, once an individual consumer had received 50 such services in a 12-month period. The Australian Government introduced a new Item (319) to cover some special cases that were affected by the policy change. At the same time, the Commonwealth introduced a ‘fee-freeze’ for all medical services. The purpose of this study is two-fold. First, it is necessary to describe the three policy interventions (the constraints on utilization, the operation of the new Item and the general ‘fee-freeze’.) The new Item policy was essentially a mechanism to ‘dampen’ the effect of the ‘constraint’ policy, and these two policy changes will be consequently analysed as a single intervention. The second objective is to evaluate the policy intervention in terms of the (stated) Australian purpose of reducing utilization of psychiatric services, and thus reducing financial outlays. Thus, it is important to separate out the different effects of the three policies that were introduced at much the same time in November 1996 and January 1997. The econometric results indicate that the composite policy change (constraining services and the new 319 Item) had a statistically significant effect. The analysis of the Medicare Benefit (in constant prices) indicates that the ‘fee-freeze’ policy also had a statistically significant effect. This enables separate determination of the several policy changes. In fact, the empirical results indicate that the Commonwealth Government underestimated the ‘savings’ that would arise from the ‘constraint’ policy.
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6

Fitzgerald, Paul, Anthony de Castella, Dinesh Arya, W. Robert Simons, Andrew Eggleston, Sharon Meere, and Jayashari Kulkarni. "The Cost of Relapse in Schizophrenia and Schizoaffective Disorder." Australasian Psychiatry 17, no. 4 (January 1, 2009): 265–72. http://dx.doi.org/10.1080/10398560903002998.

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Objective: The aim of this study was to quantify the costs and resource utilization associated with a relapse of schizophrenia or schizoaffective disorder. Methods: The study comprised a retrospective audit of data from 200 patients diagnosed with schizophrenia or schizoaffective disorder who were admitted to hospital for a relapse of their disorder in two mental health services in Australia between 1 June 2001 and 31 May 2002. Resource use and costing data were collected for 12 months before and 12 months after the hospitalization. Results: There was an increase in contacts per month and associated outpatient costs after the index admission which persisted for the full 12 month data collection period (total of AUD $637). There was also a total increase in hospital costs but this did not persist beyond the first 2 months of the follow-up period and is likely explained by the index admission. Conclusions: Increased healthcare resource utilization and costs results from relapse in patients with schizophrenia or schizoaffective disorder. An increase in service use and costs persist for a considerable time period after an episode of relapse.
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7

Wechkunanukul, Kannikar Hannah, Shahid Ullah, and Justin Beilby. "Variation in Seeking Care for Cardiovascular Disease and Ambulance Utilization among Migrants in Australia: Time, Ethnicity, and Delay (TED) Study III." International Journal of Environmental Research and Public Health 19, no. 3 (January 28, 2022): 1516. http://dx.doi.org/10.3390/ijerph19031516.

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Insight into differences in seeking medical care for chest pain among migrant populations is limited. This study aimed to determine ethnic differences in seeking care behaviors and using ambulances among migrants compared to an Australian-born group. A total of 607 patients presenting with chest pain to a tertiary hospital between 1 July 2012 and 30 June 2014 were randomly selected. Data from the emergency department dataset and medical record reviews were collected and linked for analysis. The migrant group was stratified into nine ethnic groups for analysis based on the Australian Standard Classification of Cultural and Ethnic Groups. The overall median prehospital delay time was 3.7 (1.5, 10.7) h, which ranged from 2.5 (1.0, 10.7) (Southern and Eastern European group) to 6.0 (2.3, 20.6) (Sub-Saharan African group). The median decision time was 2.0 (0.8, 7.9) h, which ranged from 1.5 (Australian-born group) to 4.5 h (Sub-Saharan African group). Five ethnic groups had significantly longer decision times compared to the Australian-born group. Decision time accounted for 58.4% of pre-hospital delay time. Migrant patients were 60% less likely to seek care for chest pain within one hour (odds ratio 0.40, (0.23–0.68), p = 0.001). There was no significant difference in ambulance utilization between migrant and Australian-born groups. In conclusion, ethnic differences in seeking care for chest pain do exist, and ethnicity plays a vital role in a longer delay in seeking care. To reduce the delays and improve patient outcomes, appropriate health campaigns focusing on ethnic differences among migrant populations and normalizing cultural competency into practice are recommended.
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8

Lystad, Reidar P., Frances Rapport, Andrew Bleasel, Geoffrey Herkes, Armin Nikpour, and Rebecca Mitchell. "Hospital service utilization trajectories of individuals living with epilepsy in New South Wales, Australia, 2012–2016: A population-based study." Epilepsy & Behavior 105 (April 2020): 106941. http://dx.doi.org/10.1016/j.yebeh.2020.106941.

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9

Nicholls, Wendy, Craig Harper, and Suzanne Robinson. "Data Linkage: Cleft Live-Birth Prevalence and Hospitalizations in Western Australia: 1980 to 2016." Cleft Palate-Craniofacial Journal 57, no. 10 (July 29, 2020): 1155–65. http://dx.doi.org/10.1177/1055665620943423.

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Objective: To provide information on live-birth prevalence and hospitalizations, including anxiety and depression, for cleft lip and/or palate (CL/P) in Western Australia (WA), using live-birth data 1980 to 2015. Design: Retrospective data linkage. Setting: Tertiary hospital. Patients: Cleft cohort consisted of people live-born with CL/P in WA between 1980 and 2015, and a gender and age-matched control group. Measures: Live-birth prevalence for CL/P by year. Hospital event counts, event ages, and length of stay (LOS) days by 18 diagnosis groups and 4 birth year categories between the cleft cohort and control group, and between cleft types. Count of events per alive persons per calendar year, and relative risk for proportions of persons in the cleft cohort and control group by diagnosis group. Results: Live-birth prevalence for CL/P was 19.7 per 10 000 (1 in 522). The cleft cohort had significantly higher event counts, lower event ages, and higher LOS days than the control group. Cleft lip and palate had significantly higher event counts, lower event ages, and higher LOS days than cleft lip or cleft palate only. There were 2 significant differences for anxiety or depression between the cleft cohort and control group, lower event ages, and higher LOS days in 1990s birth year category. Conclusions: This study provides a cleft data reference for WA. Live-birth prevalence for all clefts and by cleft type offers an appropriate method for estimating service utilization and provision. Patients with cleft accessed hospital services more frequently, at an earlier age, with higher LOS days than the control group.
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10

Wertheimer, Graeme, and Luke R. Bereznicki. "Exploring the Quality of Anticoagulant Prescribed for Patients With Atrial Fibrillation at the St John of God Hawkesbury District Health Centre, New South Wales, Australia." Journal of Cardiovascular Pharmacology and Therapeutics 24, no. 1 (July 1, 2018): 46–53. http://dx.doi.org/10.1177/1074248418786264.

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Background: Limited data are available on the clinical management of atrial fibrillation (AF) and its outcomes from an Australian perspective. Objective: To describe the appropriateness of antithrombotic prescribing for patients who presented with a diagnosis of AF to the Hawkesbury St John of God Hospital, New South Wales, Australia. Methods: This retrospective observational study reviewed patients admitted to St John of God Hawkesbury Hospital with AF between June 2016 and June 2017. We calculated stroke risk using the CHA2DS2-VASc score based on medical records and reviewed the appropriateness of oral anticoagulant (OAC) prescribing compared to the 2016 European Society of Cardiology guidelines. Patients were excluded if they had only 1 episode of AF that reverted either spontaneously or upon cardioversion without any documented recurrences. Results: A total of 200 patients (18 years) were included, with 180 (90%) deemed eligible for anticoagulation. Of these 72.8% (n = 131) were prescribed an OAC. A total of 40.0% of patients at low risk of stroke and 68.4% at intermediate risk were prescribed an OAC, respectively. Apixaban was the direct OAC of choice with 36.6% of patients prescribed an OAC receiving apixaban. Warfarin was prescribed for 25.1% of the patients who were prescribed an OAC. Conclusions: The underutilization of anticoagulant medication in high-risk groups and over utilization in low-risk groups remains an ongoing issue in contemporary AF management, and it highlights the need to improve AF-related stroke prevention in our jurisdiction.
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Книги з теми "Hospital utilization Australia"

1

Flood, Louise. Hospitalised sports injury, Australia 2002-03. Canberra: Australian Institute of Health and Welfare, 2006.

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2

Western Australia. Office of the Auditor General. Patients waiting: Access to elective surgery in Western Australia : performance examination. West Perth, W.A: Auditor General, 2002.

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3

Helps, Yvonne L. M. Hospital separations due to traumatic brain injury, Australia 2004-05. Canberra: Australian Institute of Health and Welfare, 2008.

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4

Ashwell, Margaret J. S. An overview of injury in Western Australia, 1985 to 1994. Western Australia: Epidemiology Branch, Health Information Centre & Injury Control Program, Public Health Service of the Health Department of Western Australia, 1996.

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5

Cripps, Raymond. Hospital separations due to injury and poisoning, Australia 1998-99. Canberra: Australian Institute of Health and Welfare, 2002.

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6

Hospital morbidity patterns and costs of immigrants in Australia. Canberra: The National Centre for Epidemiology and Population Health, The Australian National University, 1995.

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7

Western Australia. Office of Aboriginal Health. Hospitalisation for respiratory tract disease in western Australia, 1988-1993: A comparison of aboriginal and non-aboriginal hospital admission patterns. East Perth, W.A.]: Office of Aboriginal Health, Health Dept. of Western Australia, [1997, 1997.

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8

Australian Institute of Health and Welfare. Australia's hospitals 2008-09 at a glance. Canberra: Australian Institute of Health and Welfare, 2010.

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9

Mathers, Colin. Health system costs of injury, poisoning and musculoskeletal disorders in Australia, 1993-94. Canberra: Australian Institute of Health and Welfare, 1999.

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10

Cunningham, Joan. Hospital statistics: Aboriginal and Torres Strait Islander Australians, 1997-98. [Canberra]: Australian Bureau of Statistics, 2000.

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