Attending to risk in sequential sampling plans

Researchers typically tackle questions by constructing powerful, highlyreplicated sampling protocols or experimental designs. Such approaches often demand large samples sizes and are usually only conducted on a once-off basis. In contrast, many industries need to continually monitor phenomena such as equipment reliability, water quality, or the abundance of a pest. In such instances, costs and time inherent in sampling preclude the use of highlyintensive methods. Ideally, one wants to collect the absolute minimum number of samples needed to make an appropriate decision. Sequential sampling, wherein the sample size is a function of the results of the sampling process itself, offers a practicable solution. But smaller sample sizes equate to less knowledge about the population, and thus an increased risk of making an incorrect management decision. There are various statistical techniques to account for and measure risk in sequential sampling plans. We illustrate these methods and assess them using examples relating to the management of arthropod pests in commercial crops, but they can be applied to any situation where sequential sampling is used.

Sequential 123-I-iododexetimide scans in temporal lobe epilepsy: comparison with neuroimaging scans (MR imaging and 18-F-FDG-PET imaging)

Purpose Muscarinic acetylcholine receptors (mAChRs) play an important role in the generation of seizures. Single-photon emission computed tomography (SPECT) with ¹²³I-iododexetimide (IDEX) depicts tracer uptake by mAChRs. Our aims were to: (a) determine the optimum time for interictal IDEX SPECT imaging; (b) determine the accuracy of IDEX scans in the localisation of seizure foci when compared with video EEG and MR imaging in patients with temporal lobe epilepsy (TLE); (c) characterise the distribution of IDEX binding in the temporal lobes and (d) compare IDEX SPECT and ¹⁸F-fluorodeoxyglucose (FDG) positron emission tomography (PET) in identifying seizure foci.
Methods We performed sequential scans using IDEX SPECT imaging at 0, 3, 6 and 24 h in 12 consecutive patients with refractory TLE undergoing assessment for epilepsy surgery. Visual and region of interest analyses of the mesial, lateral and polar regions of the temporal lobes were used to compare IDEX SPECT, FDG PET and MR imaging in seizure onset localisation.
Results The 6-h IDEX scan (92%; κappa=0.83, p=0.003) was superior to the 0-h (36%; kappa=0.01, p>0.05), 3-h (55%;κappa=0.13, p>0.05) and 24-h IDEX scans in identifying the temporal lobe of seizure origin. The 6-h IDEX scan correctly predicted the temporal lobe of seizure origin in two patients who required intracranial EEG recordings to define the seizure onset. Reduced ligand binding was most marked at the temporal pole and mesial temporal structures. IDEX SPECT was superior to interictal FDG PET (75%; κappa=0.66, p=0.023) in seizure onset localisation. MR imaging was non-localising in two patients in whom it was normal and in another patient in whom there was bilateral symmetrical hippocampal atrophy.
Conclusion The 6-h IDEX SPECT scan is a viable alternative to FDG PET imaging in seizure onset localisation in TLE.

Mixed methods : a research design for management doctoral dissertations

Purpose – This paper seeks to examine two management doctoral research projects to highlight the advantages in mixed methods as the primary research design.
Design/methodology/approach – This paper summarises the methods of data collection and analysis which were used by two doctoral students in their management research. The researchers used mixed methods approaches (quantitative and qualitative) to explore different areas of management.
Findings – The paper supports the view that triangulation of research methods strengthens the findings and inferences made for understanding social phenomena in more depth, compared to using a single method.
Research limitations/implications – The paper relies excessively on two doctoral research projects which utilise sequential mixed methods. Therefore, arguments made in the paper are specific because other doctoral projects that have used different methods from those employed in the two projects were not considered.
Practical implications – Early researchers, in particular students commencing doctorate studies, should apply mixed methods research because it develops skills in the two most dominant data collection methods used in management research. This paper is a practical guide on how this could be done effectively.
Originality/value – The paper is drawn from two unique doctoral research projects. The paper’s originality and value is in providing experiences and practical insights on how mixed methods research is undertaken.

Exposing HPC and sequential applications as services through the development and deployment of a SaaS cloud

Cloud and service computing has started to change the way research in science, in particular biology and medicine, is being carried out. Researchers that have taken advantage of this technology (making use of public and private cloud compute resources) can process large amounts of data (big data) and speed up discovery. However, this requires researchers to acquire a solid knowledge and skills in the development of sequential and high performance computing (HPC), and cloud development and deployment background. In response a technology exposing HPC applications as services through the development and deployment of a SaaS cloud, and its proof of concept in the form of implementation of a cloud environment, Uncinus, has been developed and implemented to allow researchers easy access to cloud computing resources. The new technology offers and Uncinus supports the development of applications as services and the sharing of compute resources to speed up applications' execution. Users access these cloud resources and services through web interfaces. Using the Uncinus platform, a bio-informatics workflow was executed on a private (HPC) cloud, server and public cloud (Amazon EC2) resources, performance results showing a 3 fold improvement compared to local resources' performance. Biology and medicine specialists with no programming and application deployment on clouds background could run the case study applications with ease.

Single-room usage patterns and allocation decision-making in an Australian public hospital: a sequential exploratory study

AIMS AND OBJECTIVES: The aims are to (1) measure occupancy rates of single and shared rooms; (2) compare single room usage patterns and (3) explore the practice, rationale and decision-making processes associated with single rooms; across one Australian public health service.

BACKGROUND: There is a tendency in Australia and internationally to increase the proportion of single patient rooms in hospitals. To date there have been no Australian studies that investigate the use of single rooms in clinical practice.

DESIGN: This study used a sequential exploratory design with data collected in 2014.

METHODS: A descriptive survey was used to measure the use of single rooms across a two-week time frame. Semi-structured interviews were undertaken with occupancy decision-makers to explore the practices, rationale decision-making process associated with single-room allocation.

RESULTS: Total bed occupancy did not fall below 99·4% during the period of data collection. Infection control was the primary reason for patients to be allocated to a single room, however, the patterns varied according to ward type and single-room availability. For occupancy decision-makers, decisions about patient allocation was a complex and challenging process, influenced and complicated by numerous factors including occupancy rates, the infection status of the patient/s, funding and patient/family preference. Bed moves were common resulting from frequent re-evaluation of need.

CONCLUSION: Apart from infection control mandates, there was little tangible evidence to guide decision-making about single-room allocation. Further work is necessary to assist nurses in their decision-making.

RELEVANCE TO CLINICAL PRACTICE: There is a trend towards increasing the proportion of single rooms in new hospital builds. Coupled with the competing clinical demands for single room care, this study highlights the complexity of nursing decision-making about patient allocation to single rooms, an issue urgently requiring further attention.