A Bayesian Network Hybrid Model for Representing Accident and Emergency Waiting Times

The paper introduces a new modeling approach that represents the waiting times in an Accident and Emergency (A&E) Department in a UK based National Health Service (NHS) hospital. The technique uses Bayesian networks to capture the heterogeneity of arriving patients by representing how patient covariates interact to influence their waiting times in the department. Such waiting times have been reviewed by the NHS as a means of investigating the efficiency of A&E departments (Emergency Rooms) and how they operate. As a result activity targets are now established based on the patient total waiting times with much emphasis on trolley waits.

Discrete Conditional Phase-type model (DC_Ph) for patient waiting time with a logistic regression component to predict patient admission to hospital

Discrete Conditional Phase-type (DC-Ph) models are a family of models which represent skewed survival data conditioned on specific inter-related discrete variables. The survival data is modeled using a Coxian phase-type distribution which is associated with the inter-related variables using a range of possible data mining approaches such as Bayesian networks (BNs), the Naïve Bayes Classification method and classification regression trees. This paper utilizes the Discrete Conditional Phase-type model (DC-Ph) to explore the modeling of patient waiting times in an Accident and Emergency Department of a UK hospital. The resulting DC-Ph model takes on the form of the Coxian phase-type distribution conditioned on the outcome of a logistic regression model.

A Bayesian network hybrid model for representing accident and emergency waiting times

The paper introduces a new modeling approach that represents the waiting times in an accident and emergency (A&E) department in a UK based national health service (NHS) hospital. The technique uses Bayesian networks to capture the heterogeneity of arriving patients by representing how patient covariates interact to influence their waiting times in the department. Such waiting times have been reviewed by the NHS as a means of investigating the efficiency of A&E departments (emergency rooms) and how they operate. As a result activity targets are now established based on the patient total waiting times with much emphasis on trolley waits.

Waiting time for cataract surgery and its influence on patient attitudes.

PURPOSE:

To characterize willingness to pay for private operations and preferred waiting time among patients awaiting cataract surgery in Hong Kong.

METHODS:

This was a cross-sectional survey. Subjects randomly selected from cataract surgical waiting lists in Hong Kong (n = 467) underwent a telephone interview based on a structured, validated questionnaire. Data were collected on private insurance coverage, preferred waiting time, amount willing to pay for surgery, and self-reported visual function and health status.

RESULTS:

Among 300 subjects completing the interview, 144 (48.2%) were 76 years of age or older, 177 (59%) were women, and mean time waiting for surgery was 17 +/- 15 months. Among 220 subjects (73.3%) willing to pay anything for surgery, the mean amount was US$552 +/- 443. With adjustment for age, education, and monthly household income, subjects willing to pay anything were less willing to wait 12 months for surgery (OR = 4.34; P = 0.002), more likely to know someone having had cataract surgery (OR = 2.20; P = 0.03), and more likely to use their own savings to pay for the surgery (OR = 2.21; P = 0.04). Subjects considering private cataract surgery, knowing people who have had cataract surgery, using nongovernment sources to pay for surgery, and having lower visual function were willing to pay more.

CONCLUSIONS:

Many patients wait significant periods for cataract surgery in Hong Kong, and are willing to pay substantial amounts for private operations. These results may have implications for other countries with cataract waiting lists.

Waiting for International Political Sociology: A Field Guide to Living In-Between

This paper explores the in-between positionality of International Political Sociology (IPS) and offers a field guide to help scholars, students and thinkers embrace this disposition more energetically. It makes the case for a more balanced transdisciplinarity that attends to the international, the political and the social at the same time and in equal measure. The power of this in-between approach is that it forces thinkers in IPS to constantly look at the horrors of our contemporary world without turning away. Through the ambivalent position of the ‘happy wreck’, the paper explores the need to do something about these horrors (e.g. diagnose, act, intervene) while fully acknowledging that such actions always produce new forms of violence and exclusion. To help thinkers in IPS inhabit this challenging space of inquiry more confidently, the paper makes four suggestions: (i) broadening our emotional responses to the horrors of the world; (ii) resisting resolution through non-cathartic dispositions; (iii) pursuing slow research to contest dominant rhetorics of crisis and emergency; and (iv) re-imagining shared conditions of vulnerability.

Rheumatologists' judgements about the efficacy of anti-TNF therapy in two neighbouring regions

Objectives: The requirement in Northern Ireland to prescribe biologic agents according to NICE/BSR guidelines and within a fixed budget has created a waiting list for treatment that has no parallel in the Republic of Ireland. The study investigated the bearing this situation may have on had on the consultants’ judgements in the respective areas.

Methods: 78 case vignettes created from the data on real patients with RA treated with biologics in the north and south of Ireland were appraised by 9 southern and 8 northern consultants who judged the clinical benefit and significance of the patients’ condition after a trial of therapy. Quantitative (Clinical Judgement Analysis) and Qualitative (Focus groups) techniques were used.

Results: Northern consultants perceived a slightly greater degree of clinical benefit after a trial of therapy than southern consultants. Judgment models of northern and southern consultants were broadly comparable. The latter tended to be more uniform in their judgments than the southern group. Focus group discussions with consultants largely validated the findings of the quantitative analysis but revealed how clinical judgment analysis might be misled by gaming strategies.

Conclusions: Despite the absence of overt rationing in the south of Ireland, as far as the judgment of therapeutic benefit from biologics was concerned, the clinical judgment policies of practitioners were very similar to those in the north. The adoption of NICE/BSR guidelines in the north may have improved the uniformity of clinical practice in Northern Ireland.

Green function for the diffusion limit of one-dimensional continuous time random walks

It is shown how the fractional probability density diffusion equation for the diffusion limit of one-dimensional continuous time random walks may be derived from a generalized Markovian Chapman-Kolmogorov equation. The non-Markovian behaviour is incorporated into the Markovian Chapman-Kolmogorov equation by postulating a Levy like distribution of waiting times as a kernel. The Chapman-Kolmogorov equation so generalised then takes on the form of a convolution integral. The dependence on the initial conditions typical of a non-Markovian process is treated by adding a time dependent term involving the survival probability to the convolution integral. In the diffusion limit these two assumptions about the past history of the process are sufficient to reproduce anomalous diffusion and relaxation behaviour of the Cole-Cole type. The Green function in the diffusion limit is calculated using the fact that the characteristic function is the Mittag-Leffler function. Fourier inversion of the characteristic function yields the Green function in terms of a Wright function. The moments of the distribution function are evaluated from the Mittag-Leffler function using the properties of characteristic functions and a relation between the powers of the second moment and higher order even moments is derived. (C) 2004 Elsevier B.V. All rights reserved.