Managing FM (support services): business risks in the healthcare sector

This paper presents research findings of 365 NHS Trust executives in the UK and builds on work carried out on risk perceptions and treatment in facilities management operations and business support activities in the NHS Trusts. The research utilises a business approach of viewing healthcare facilities not only as fixed “assets” occupying hospital sites and space, but it also considers them as that “tangible” part of the service chain process underpinning the provision of clinical services to both internal (departments or directorates) and external customers. The research found that customer satisfaction, service delivery certainty, customer involvement, service quality reliability, health and safety are highly rated by the NHS executives. The paper classifies healthcare related risk constructs into seven elements namely: customer care, corporate, legal, commercial finance and economics, business transfer, and facilities transmitted

Clinical risk management and the ethics of open disclosure : part 1 : benefits and risks to patient safety

Patient safety experts and other authorities have strongly postulated the open disclosure of errors and adverse events to patients as an essential component of effective clinical risk management in health care. Commentators also contend that ‘when things go wrong’, openly disclosing such events to the patient and his or her nominated support person is simply ‘the right thing to do’. Despite the obvious importance of the issue of open disclosure and its possible implications for the nursing profession, it has not been comprehensively addressed in the nursing literature. A key aim of this article (the first of a two-part discussion) is to contribute to the positive project of redressing this oversight by providing a brief overview of what open disclosure is and what its intended purpose, aims, and rationale are. Consideration is also given to the risks and benefits of open disclosure as a public policy and whether it will succeed in achieving the anticipated outcomes envisaged. In a second article (to be presented as Part II), the ethics of open disclosure and its possible implications for the nursing profession are explored.

Prevalence and cost of musculoskeletal disorders: a population-based, public hospital system healthcare consumption approach.

Objective: To use a population-level, public-hospital approach to compare the prevalence and cost of musculoskeletal diseases (MSD) with other clinical specialties.

Methods: A healthcare utilization survey of 4 million individual records over 4 years, from all major public hospitals in the state of Victoria (estimated population 4.8 million residents in 2000/01) from 1997/98 to 2000/01. Main outcome measures were inpatient episodes of care, bed-days, and outpatient clinic encounters. MSD was defined as the combination of orthopedics and rheumatology.

Results: After obstetrics, MSD was the most frequent outpatient service, with orthopedics accounting for 9.9% of all visits in 2000/01. The proportion of MSD outpatient encounters (on average 11.6% of the total) was constant over the study period. Among 26 medical specialties, MSD had the sixth highest number of inpatient episodes (6.2% in 2000/01), following renal dialysis (14.6%), general surgery (8.2%), obstetrics (7.6%), gastroenterology (7.1%), and general medicine (6.7%). MSD was the fifth highest consumer of bed-days, occupying on average 7.7% of all beds per annum in the period 1997/98 to 2000/01, behind psychiatry (10.1%), respiratory medicine (8.5%), rehabilitation (8.3%), and general medicine (7.8%). MSD was the third most-costly discipline in 2000/01, with total costs of over A dollars 169 million (9.7% of total inpatient costs that year), behind respiratory medicine (11.6%) and general surgery (11.5%).

Conclusion: Compared to other diseases, MSD consumes a substantial proportion of healthcare resources in Victorian public hospitals. These data have important implications for allocation of healthcare resources, clinical care pathways, and prevention strategies.

Allocating risks in public-private partnership projects using a transaction cost economics approach - a case study

Public-private partnership (PPP) projects are often characterised by increased complexity and uncertainty due to their idiosyncrasy in the management and delivery processes such as long-term lifecycle, incomplete contracting, and the multitude of stakeholders. An appropriate risk allocation is particularly crucial to achieving project success. This paper focuses on the risk allocation in PPP projects and argues that the transaction cost economics (TCE) theory can integrate the economics part, which is currently missing, into the risk management research. A TCE-based approach is proposed as a logical framework for allocating risks between public and private sectors in PPP projects. A case study of the Southern Cross Station redevelopment project in Australia is presented to illustrate the approach. The allocation of important risks is put under scrutiny. Lessons learnt are discussed and alternative management approaches drawing on TCE theory are proposed.

Building interactive relationships : the risks, dilemmas and learning initiatives associated with partnerships with 'real' purpose

Many teachers already do all kinds of interesting and potentially useful data collection with their students but in a fridge door context the data is rarely kept, the analyses are rarely shared beyond the classroom (except on a family’s fridge door) and it is very rare that data is stored and added to over time. (Bigum, 2002)

Relationship of body condition score, live weight, stocking rate and grazing system to the mortality of Angora goats from hypothermia and their use in the assessment of welfare risks

Body condition scoring is widely used for sheep and cattle but the practice is included in only one Code of Practice for the welfare of goats in Australia. There is no published scientific evidence to support or defend its use in the assessment of welfare risks to farmed goats.

PROCEDURE: The significance of stocking rate, grazing system, body condition score (CS) and live weight were investigated in explaining the risk of mortality of individual and flocks of grazing Angora goats from hypothermia following a severe weather event in April. This event occurred 5 weeks after shearing the goats. Angora goats and Saxon Merino sheep were grazed alone, or mixed together in equal numbers at each of three stocking rates.

RESULTS: There was no mortality amongst Angora goats provided they grazed at the lowest stocking rate even when their CS was < or = 2.0. Mortality in flocks of Angora goats was most related to the CS reached during the preceding 2 months. For flocks of Angora goats there was no mortality at CS > or = 2.5 and mortality increased sharply at mean CS < 2.0. For individual Angora goats, mortality increased as CS declined and stocking rate and grazing combinations were additive in effect on mortality. Grazing with sheep increased mortality of Angora goats at higher stocking rates. The individual goat mortality rate was not dependent on individual plot effects suggesting that these results are applicable widely. Live weight loss was not related to mortality rates of goats once CS had been accounted for.
CONCLUSION: It was concluded that CS and stocking rate were highly significant determinants of welfare risk in Angora goats.

Analytical relationship between family history and genetic and environmental risks, with application to female breast cancer

It is well established in genetic epidemiology that family history is an important indicator of familial aggregation of disease in a family. A strong genetic risk factor or an environmental risk factor with high familial correlation can result in a strong family history. In this paper, family history refers to the number of first-degree relatives affected with the disease. Cui and Hopper (Journal of Epidemiology and Biostatistics 2001; 6: 331-342) proposed an analytical relationship between family history and relevant genetic parameters. In this paper we expand the relationship to both genetic and environmental risk factors. We established a closed-form formula for family history as a function of genetic and environmental parameters which include genetic and environmental relative risks, genotype frequency, prevalence and familial correlation of the environmental risk factor. The relationship is illustrated by an example of female breast cancer in Australia. For genetic and environmental relative risks less than 10, most of the female breast cancer cases occur between the age of 40 and 60 years. A higher genetic or environmental relative risk will move the peak of the distribution to a younger age. A more common disease allele or more prevalent environmental risk factor will move the peak to an older age. For a proband with breast cancer, it is most likely (with probability ge80%) that none of her first-degree relatives is affected with the disease. To enable the probability of having a positive family history to reach 50%, the environmental relative risks must be extremely as high as 100, the familial correlation as high as 0.8 and the prevalence as low as 0.1. For genetic risk alone, even the relative risk is as high as 100, the probability of having a positive family history can only reach about 30%. This suggests that the environmental risk factor seems to play a more important role in determining a strong family history than the genetic risk factor.