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Shorter Waiting Times (shorter + waiting_time)

Distribution by Scientific Domains
Medical Sciences40%

Selected Abstracts

Do Private Patients have Shorter Waiting Times for Elective Surgery?

ECONOMIC PAPERS: A JOURNAL OF APPLIED ECONOMICS AND POLICY, Issue 2 2010
Evidence from New South Wales Public Hospitals
I11; D63 The Productivity Commission (2008) identified waiting times for elective surgery as a measure of governments' success in providing accessible health care. At the 2007 COAG meeting, the Prime Minister identified reduction of elective surgery waiting times in public hospitals as a major policy priority. To date, the analysis of waiting time data has been limited to summary statistics by medical procedure, doctor specialty and state. In this paper, we look behind the summary statistics and analyse the extent to which private patients are prioritised over comparable public patients in public hospitals. Our empirical evidence is based on waiting list and admission data from public hospitals in NSW for 2004,2005. We find that private patients have substantially shorter waiting times, and tend to be admitted ahead of their listing rank, especially for procedures that have low urgency levels. We also explore the benefits and costs of this preferential treatment on waiting times. [source]

Fulminant hepatic failure: Outcome after listing for highly urgent liver transplantation,12 years experience in the nordic countries

LIVER TRANSPLANTATION, Issue 11 2002
Bjørn Brandsæter
Fulminant hepatic failure is a common indication for liver transplantation. Outcomes of patients listed for a highly urgent liver transplantation have been studied, with special emphasis on etiology of the liver disease, clinical condition, and ABO blood type. Data have been collected from the Nordic Liver Transplantation Registry. All Nordic patients listed for a highly urgent primary liver transplantation during a 12-year period have been included. Of the 315 patients listed for a highly urgent liver transplantation, 229 (73%) received a first liver allograft, 50 patients (16%) died without transplantation, and 36 patients (11%) were permanently withdrawn and survived. In 43% of the patients, no definite etiology of the liver failure could be established. Paracetamol intoxication was the most frequent specific indication for listing. Patients with blood type A had no significant shorter waiting time (3.8 v 6.6 days; P = .1) but a higher rate of transplantation (82% v 66%, P = .006) as compared with blood type O patients. In a multivariate analysis, paracetamol intoxication remained the single independent predictor of an outcome without transplantation. In conclusion, a high transplantation rate was observed among patients listed for a highly urgent liver transplantation because of fulminant hepatic failure. Blood type O patients had a lower chance of receiving a liver allograft. Patients with paracetamol intoxication had both a higher mortality without transplantation and a higher withdrawal rate attributable to improved condition. [source]

Do Private Patients have Shorter Waiting Times for Elective Surgery?

ECONOMIC PAPERS: A JOURNAL OF APPLIED ECONOMICS AND POLICY, Issue 2 2010
Evidence from New South Wales Public Hospitals
I11; D63 The Productivity Commission (2008) identified waiting times for elective surgery as a measure of governments' success in providing accessible health care. At the 2007 COAG meeting, the Prime Minister identified reduction of elective surgery waiting times in public hospitals as a major policy priority. To date, the analysis of waiting time data has been limited to summary statistics by medical procedure, doctor specialty and state. In this paper, we look behind the summary statistics and analyse the extent to which private patients are prioritised over comparable public patients in public hospitals. Our empirical evidence is based on waiting list and admission data from public hospitals in NSW for 2004,2005. We find that private patients have substantially shorter waiting times, and tend to be admitted ahead of their listing rank, especially for procedures that have low urgency levels. We also explore the benefits and costs of this preferential treatment on waiting times. [source]

DETECTING THE HISTORICAL SIGNATURE OF KEY INNOVATIONS USING STOCHASTIC MODELS OF CHARACTER EVOLUTION AND CLADOGENESIS

EVOLUTION, Issue 2 2005
Richard H. Ree
Abstract Phylogenetic evidence for biological traits that increase the net diversification rate of lineages (key innovations) is most commonly drawn from comparisons of clade size. This can work well for ancient, unreversed traits and for correlating multiple trait origins with higher diversification rates, but it is less suitable for unique events, recently evolved innovations, and that exhibit homoplasy. Here I present a new method for detecting the phylogenetic signature of key innovations that tests whethere the evolutionary history of the candidate trait is associated with shorter waiting times between cladogenesis events. The method employs stochastic models of character evolution and cladogenesis and integrates well into a Bayesian framework in which uncertainty in historical inferences (such as phylogenetic relationships) is allowed. Applied to a well-known example in plants, nectar spurs in columbines, the method gives much stronger support to the key innovation hypothesis than previous tests. [source]

Triage Presenting Complaint Descriptions Bias Emergency Department Waiting Times

ACADEMIC EMERGENCY MEDICINE, Issue 8 2008
Martin J. Dutch BMedSci
Abstract Objectives:, The authors aimed to determine whether certain emergency department (ED) triage "presenting complaint" descriptions are associated with shorter or longer waiting times, when compared with matched controls. Methods:, This was a retrospective, analytical study in three tertiary referral EDs. Data relating to adult patients with Australasian National Triage Scale (NTS) Category 3,5 complaints, who presented over 1 year, were accessed. A pilot study of 25 emergency physicians (EPs) identified five most liked and five most disliked presenting complaints. For each liked or disliked complaint, "cases" were identified using key words and phrases in the triage presentation description. For each case, the previous presentation at that institution with the same NTS category was used as a "control." Cases and controls were compared for waiting time and proportions seen within the Australasian College for Emergency Medicine (ACEM)-recommended waiting times. Results:, Data on 28,566 case,control pairs were examined. Compared to their controls, three of the five most liked complaints (dislocations, fractures, and palpitations) had significantly shorter waiting times, and significantly more were seen within the recommended waiting times (p < 0.05). In contrast, three of the five most disliked complaints (dizziness, constipation, and back pain) had significantly longer waiting times, and significantly fewer were seen within the recommended waiting times (p < 0.05). Other presenting complaints showed similar, although nonsignificant, trends. Conclusions:, Waiting times for patients with certain presenting complaints are significantly associated with triage presenting complaint descriptions. It is likely that these descriptions allow EPs to selectively seek or avoid patients with liked or disliked complaints, respectively. The impact of this for patients and ED flow needs investigation. [source]