Review and future directions in the modelling and control of continuous drum granulation

Many granulation plants operate well below design capacity, suffering from high recycle rates and even periodic instabilities. This behaviour cannot be fully predicted using the present models. The main objective of the paper is to provide an overview of the current status of model development for granulation processes and suggest future directions for research and development. The end-use of the models is focused on the optimal design and control of granulation plants using the improved predictions of process dynamics. The development of novel models involving mechanistically based structural switching methods is proposed in the paper. A number of guidelines are proposed for the selection of control relevant model structures. (C) 2002 Published by Elsevier Science B.V.

An evaluation of tobacco brief intervention training in three Indigenous health care settings in north Queensland

Objective: To evaluate the pilot phase of a tobacco brief intervention program in three Indigenous health care settings in rural and remote north Queensland. Methods: A combination of in-depth interviews with health staff and managers and focus groups with health staff and consumers. Results: The tobacco brief intervention initiative resulted in changes in clinical practice among health care workers in all three sites. Although health workers had reported routinely raising the issue of smoking in a variety of settings prior to the intervention, the training provided them with an additional opportunity to become more aware of new approaches to smoking cessation. Indigenous health workers in particular reported that their own attempts to give up smoking following the training had given them confidence and empathy in offering smoking cessation advice. However, the study found no evidence that anybody had actually given up smoking at six months following the intervention. Integration of brief intervention into routine clinical practice was constrained by organisational, interpersonal and other factors in the broader socio-environmental context. Conclusions/implications: While modest health gains may be possible through brief intervention, the potential effectiveness in Indigenous settings will be limited in the absence of broader strategies aimed at tackling community-identified health priorities such as alcohol misuse, violence, employment and education. Tobacco and other forms of lifestyle brief. intervention need to be part of multi-level health strategies. Training in tobacco brief intervention should address both the Indigenous context and the needs of Indigenous health care workers.

Should we debrief and counsel people who have had psychological shock?

Design: Randomised controlled trial of psychological debriefing. Setting: A British teaching hospital (the Radcliffe Hospital, Oxford). Patients: 66 men and 40 women, aged 17–69 years, admitted to hospital after a motor vehicle accident. Most had been the driver of a car. Median admission duration was four days for the 52 control patients and eight days for the 54 who underwent the intervention. Interventions: A debriefing of about one hour on Day 2 of admission, encouraging patients to describe the accident and express their emotions, followed by a cognitive appraisal which included describing common reactions to traumatic experiences and suggesting a range of people who might be able to assist in the future, including the patient's general practitioner. 91 patients were assessed at four months and 61 were assessed at three years. Control patients had no debriefing or counselling. Main outcome measures: Impact of Event Scale (IES, which focuses on intrusive thoughts and avoidance of similar situations to the event); Brief Symptom Inventory (BSI, a measure of 53 symptoms); and other questions related to physical pain and functional activities. Main results: At four months there was still considerable psychological morbidity among the patients who were followed up. There was a significant difference (P < 0.05) in changes of IES between the 42 who received the intervention, in whom it increased from 15 (standard deviation [SD], 15) to 16 (SD, 15), and the 49 controls, in whom it fell from 15 (SD, 12) to 13 (SD, 14). Similarly, two subscales of the BSI score changed significantly between the intervention group, among whom it deteriorated from 0.5 (SD, 0.5) to 0.6 (SD, 0.8), and the control s, in whom it hardly changed from 0.4 (SD, 0.3) to 0.4 (SD, 0.4). Among the 61 patients followed for three years, the 30 randomised to receive the intervention were significantly worse, by self-report, both psychologically and physically. Their mean IES score deteriorated from a baseline of 15 (SD, 14) to 16 (SD, 18). In comparison, scores for the 31 control patients improved from 16 (SD, 12) to 13 (SD, 17). The difference in change was significant (P < 0.05). Among all patients with high initial scores, these decreased among the controls but not among those receiving the intervention. Conclusion: Psychological counselling should only be used in the context of trials rather than routine care.

Chemotherapy and radiotherapy: When to call it quits

Abstract: Background: Patients diagnosed with cancer are often treated with chemotherapy and radiotherapy with curative intent. The transition from curative to palliative intent involves re-evaluation of treatment, and has to take into account the attitudes, beliefs and life aims of the patient. Objective: To discuss the difficulties in determining when to cease chemotherapy and radiotherapy in patients with advanced cancer. Discussion: The concept of treatment evaluation using a ‘burden versus benefit’ paradigm is discussed. Treatment aims must be in concordance with those of the patient, which are often couched in functional terms or linked to future significant life events. Chemotherapy and radiotherapy can offer patients in the palliative phase of cancer illness, benefits in terms of relief of symptoms and meaningful prolongation of life, and should be considered in appropriate circumstances. (author abstract)

How well do general practitioners deliver palliative care? A systematic review

General practitioners (GPs) deliver the majority of palliative care to patients in the last year of life. This article seeks to examine the nature of GP care, perceptions of the GPs themselves and others of that care, the adequacy of palliative care training, issues relating to accessibility of GPs to palliative care patients, and strategies that may be of use in encouraging more effective delivery of palliative care by GPs. Medline and PubMed databases from 1966 to 2000 were searched, and 135 references identified. Sixty-six of these described studies relevant to GP palliative care. GPs value this part of their work. Most of the time, patients appreciate the contribution the GP makes to palliative care particularly if the GP is accessible, takes time to listen, allows patient and carer to ventilate their feelings, and is seen to be making efforts made regarding symptom relief. However, reports from bereaved relatives suggest that palliative care is performed less well in the community than in other settings. GPs express discomfort about their competence to perform palliative care adequately. They tend to miss symptoms which are not treatable by them, or which are less common. However, with appropriate specialist support and facilities, GPs have been shown to deliver sound and effective care. GP comfort working with specialist teams increases with exposure to this form of patient management, as does the understanding of the potential other team members have in contributing to the care of the patient. Formal arrangements engaging GPs to work with specialist teams have been shown to improve functional outcomes, patient satisfaction, improve effective use of resources and improve effective physician behaviour in other areas of medicine. Efforts by specialist services to develop formal involvement of GPs in the care of individual patients, may be an effective method of improving GP palliative care skills and appreciation of the roles specialist services can play.

Future contributions of crop modelling - from heuristics and supporting decision making to understanding genetic regulation and aiding crop improvement

Crop modelling has evolved over the last 30 or so years in concert with advances in crop physiology, crop ecology and computing technology. Having reached a respectable degree of acceptance, it is appropriate to review briefly the course of developments in crop modelling and to project what might be major contributions of crop modelling in the future. Two major opportunities are envisioned for increased modelling activity in the future. One opportunity is in a continuing central, heuristic role to support scientific investigation, to facilitate decision making by crop managers, and to aid in education. Heuristic activities will also extend to the broader system-level issues of environmental and ecological aspects of crop production. The second opportunity is projected as a prime contributor in understanding and advancing the genetic regulation of plant performance and plant improvement. Physiological dissection and modelling of traits provides an avenue by which crop modelling could contribute to enhancing integration of molecular genetic technologies in crop improvement. Crown Copyright (C) 2002 Published by Elsevier Science B.V. All rights reserved.

Risk factors for non-haemorrhagic stroke in patients with coronary heart disease and the effect of lipid-modifying therapy with pravastatin

Objective To determine the relative importance of recognised risk factors for non-haemorrhagic stroke, including serum cholesterol and the effect of cholesterol-lowering therapy, on the occurrence of non-haemorrhagic stroke in patients enrolled in the LIPID (Long-term Intervention with Pravastatin in Ischaemic Disease) study. Design The LIPID study was a placebo-controlled, double-blind trial of the efficacy on coronary heart disease mortality of pravastatin therapy over 6 years in 9014 patients with previous acute coronary syndromes and baseline total cholesterol of 4-7 mmol/l. Following identification of patients who had suffered non-haemorrhagic stroke, a pre-specified secondary end point, multivariate Cox regression was used to determine risk in the total population. Time-to-event analysis was used to determine the effect of pravastatin therapy on the rate of non-haemorrhagic stroke. Results There were 388 non-haemorrhagic strokes in 350 patients. Factors conferring risk of future non-haemorrhagic stroke were age, atrial fibrillation, prior stroke, diabetes, hypertension, systolic blood pressure, cigarette smoking, body mass index, male sex and creatinine clearance. Baseline lipids did not predict non-haemorrhagic stroke. Treatment with pravastatin reduced non-haemorrhagic stroke by 23% (P= 0.016) when considered alone, and 21% (P= 0.024) after adjustment for other risk factors. Conclusions The study confirmed the variety of risk factors for non-haemorrhagic stroke. From the risk predictors, a simple prognostic index was created for nonhaemorrhagic stroke to identify a group of patients at high risk. Treatment with pravastatin resulted in significant additional benefit after allowance for risk factors. (C) 2002 Lippincott Williams Wilkins.

Prospective independent validation of APACHE III models in an Australian tertiary adult intensive care unit

Evaluation of the performance of the APACHE III (Acute Physiology and Chronic Health Evaluation) ICU (intensive care unit) and hospital mortality models at the Princess Alexandra Hospital, Brisbane is reported. Prospective collection of demographic, diagnostic, physiological, laboratory, admission and discharge data of 5681 consecutive eligible admissions (1 January 1995 to 1 January 2000) was conducted at the Princess Alexandra Hospital, a metropolitan Australian tertiary referral medical/surgical adult ICU. ROC (receiver operating characteristic) curve areas for the APACHE III ICU mortality and hospital mortality models demonstrated excellent discrimination. Observed ICU mortality (9.1%) was significantly overestimated by the APACHE III model adjusted for hospital characteristics (10.1%), but did not significantly differ from the prediction of the generic APACHE III model (8.6%). In contrast, observed hospital mortality (14.8%) agreed well with the prediction of the APACHE III model adjusted for hospital characteristics (14.6%), but was significantly underestimated by the unadjusted APACHE III model (13.2%). Calibration curves and goodness-of-fit analysis using Hosmer-Lemeshow statistics, demonstrated that calibration was good with the unadjusted APACHE III ICU mortality model, and the APACHE III hospital mortality model adjusted for hospital characteristics. Post hoc analysis revealed a declining annual SMR (standardized mortality rate) during the study period. This trend was present in each of the non-surgical, emergency and elective surgical diagnostic groups, and the change was temporally related to increased specialist staffing levels. This study demonstrates that the APACHE III model performs well on independent assessment in an Australian hospital. Changes observed in annual SMR using such a validated model support an hypothesis of improved survival outcomes 1995-1999.