Respiratory Syncytial Virus Preterm (32-36 Completed Weeks of Gestation) Risk Estimation Measure for RSV Hospitalization in Ireland: A Prospective Study.

BACKGROUND: In several countries, respiratory syncytial virus prophylaxis is offered to late preterm infants who are at escalated risk of respiratory syncytial virus hospitalization (RSVH). However, targeted prophylaxis should be informed by country-specific data. This study, which uniquely includes 36 weeks of gestational age (GA) infants, aims to establish the risk factors for RSVH in 32-36 weeks of GA infants in Ireland. METHODS: A prospective observational study at 13 hospitals of laboratory-confirmed RSVH in nonprophylaxed 32-36 weeks of GA infants was conducted from July 2011 to February 2014. Baseline and first-year clinical data were analyzed by using SPSS software Version 22 (IBM Corp, Armonk, NY). Significant (P < 0.05) variables were entered into multiple logistic regression to determine the independent risk factors for RSVH. RESULTS: Sixty-three percent of eligible infants (1825 of 2877) were recruited. The RSVH rate was 3.6% (65 of 1807 analyzed infant records). There was no RSV-attributable mortality. Twelve infants required intensive care. Of the 15 variables correlating to RSVH, 5 independent risk factors were identified: older siblings [odds ratio (OR): 3.8; 95% confidence interval (CI): 1.97-7.41], being Caucasian (OR: 2.3; 95% CI: 1.04-5.29), neonatal respiratory morbidity (OR: 2.2; 95% CI: 1.28-3.94); birth July 15 to December 15 (OR: 2.1; 95% CI: 1.09-3.92) and family history of asthma (OR: 1.9; 95% CI: 1.01-3.39). Birth from 36 weeks to 36 + 6 days mitigated RSVH risk (relative risk: 0.58; 95% CI: 0.34-0.99); however, risk factors were similar to the 32-35 weeks of GA cohort. CONCLUSION: Neonatal respiratory morbidity or being Caucasian were the population-specific independent risk factors for RSVH in 32-36 weeks of GA in Ireland, whereas the other identified independent risk factors mirrored those established in previous studies.

A randomised trial and economic evaluation of the effect of response mode on response rate, response bias, and item non-response in a survey of doctors.

BACKGROUND: Surveys of doctors are an important data collection method in health services research. Ways to improve response rates, minimise survey response bias and item non-response, within a given budget, have not previously been addressed in the same study. The aim of this paper is to compare the effects and costs of three different modes of survey administration in a national survey of doctors. METHODS: A stratified random sample of 4.9% (2,702/54,160) of doctors undertaking clinical practice was drawn from a national directory of all doctors in Australia. Stratification was by four doctor types: general practitioners, specialists, specialists-in-training, and hospital non-specialists, and by six rural/remote categories. A three-arm parallel trial design with equal randomisation across arms was used. Doctors were randomly allocated to: online questionnaire (902); simultaneous mixed mode (a paper questionnaire and login details sent together) (900); or, sequential mixed mode (online followed by a paper questionnaire with the reminder) (900). Analysis was by intention to treat, as within each primary mode, doctors could choose either paper or online. Primary outcome measures were response rate, survey response bias, item non-response, and cost. RESULTS: The online mode had a response rate 12.95%, followed by the simultaneous mixed mode with 19.7%, and the sequential mixed mode with 20.7%. After adjusting for observed differences between the groups, the online mode had a 7 percentage point lower response rate compared to the simultaneous mixed mode, and a 7.7 percentage point lower response rate compared to sequential mixed mode. The difference in response rate between the sequential and simultaneous modes was not statistically significant. Both mixed modes showed evidence of response bias, whilst the characteristics of online respondents were similar to the population. However, the online mode had a higher rate of item non-response compared to both mixed modes. The total cost of the online survey was 38% lower than simultaneous mixed mode and 22% lower than sequential mixed mode. The cost of the sequential mixed mode was 14% lower than simultaneous mixed mode. Compared to the online mode, the sequential mixed mode was the most cost-effective, although exhibiting some evidence of response bias. CONCLUSIONS: Decisions on which survey mode to use depend on response rates, response bias, item non-response and costs. The sequential mixed mode appears to be the most cost-effective mode of survey administration for surveys of the population of doctors, if one is prepared to accept a degree of response bias. Online surveys are not yet suitable to be used exclusively for surveys of the doctor population.

Reduced surface area chromatography for flow-through purification of viruses and virus like particles.

A method for flow-through purification of viruses and virus like nano-particles using a combination of binding and size-exclusion chromatography was developed. This technique relies on minimizing the external surface area per unit volume available for virus binding by increasing the mean diameter of the beads used in the column. At the same time the impurity binding capacity of the column is maximized by utilizing beads with multiple functionalities of the optimum size. Purification of different types of viruses and virus-like-particles could be achieved using this technique. Flow-through purification of influenza virus using this technique yielded virus recoveries greater than 70-80% coupled with impurity removal greater than 80%. Finally an approach to optimize and facilitate process development using this technology is presented. Since the impurity binding occurs via a non-specific mechanism and virus recovery is achieved through reduced surface area, the technique is not limited to specific types of viruses and offers the potential as a universal purification tool.

The "medicine in Australia: balancing employment and life (MABEL)" longitudinal survey--protocol and baseline data for a prospective cohort study of Australian doctors' workforce participation.

BACKGROUND: While there is considerable research on medical workforce supply trends, there is little research examining the determinants of labour supply decisions for the medical workforce. The "Medicine in Australia: Balancing Employment and Life (MABEL)" study investigates workforce participation patterns and their determinants using a longitudinal survey of Australian doctors. It aims to generate evidence to support developing effective policy responses to workforce issues such as shortages and maldistribution. This paper describes the study protocol and baseline cohort, including an analysis of response rates and response bias. METHODS/DESIGN: MABEL is a prospective cohort study. All Australian doctors undertaking clinical work in 2008 (n = 54,750) were invited to participate, and annual waves of data collections will be undertaken until at least 2011. Data are collected by paper or optional online version of a questionnaire, with content tailored to four sub-groups of clinicians: general practitioners, specialists, specialists in training, and hospital non-specialists. In the baseline wave, data were collected on: job satisfaction, attitudes to work and intentions to quit or change hours worked; a discrete choice experiment examining preferences and trade-offs for different types of jobs; work setting; workload; finances; geographic location; demographics; and family circumstances. DISCUSSION: The baseline cohort includes 10,498 Australian doctors, representing an overall response rate of 19.36%. This includes 3,906 general practitioners, 4,596 specialists, 1,072 specialists in training, and 924 hospital non-specialists. Respondents were more likely to be younger, female, and to come from non-metropolitan areas, the latter partly reflecting the effect of a financial incentive on response for doctors in remote and rural areas. Specialists and specialists in training were more likely to respond, whilst hospital non-specialists were less likely to respond. The distribution of hours worked was similar between respondents and data from national medical labour force statistics. The MABEL survey provides a large, representative cohort of Australian doctors. It enables investigation of the determinants of doctors' decisions about how much, where and in what circumstances they practice, and of changes in these over time. MABEL is intended to provide an important resource for policy makers and other stakeholders in the Australian medical workforce.

Validation of a microbiological method using Acholeplasma laidlawii for assessing performance of microporous membranes for mycoplasma clearance.

While no recognized industry standard currently exists for mycoplasma clearance testing of membrane filters, several methods have been used by membrane manufacturers and contract test laboratories. This validation exercise documents one approach to mycoplasma clearance testing and incorporates validation guidelines recognized in the biopharmaceutical industry today. The benefits of this method are (1) the consistent production of small monodisperse cells, 0.37 x 0.41 microm, at titers in excess of 1 x 10(9) CFU mL(-1) within 20-24 h of incubation; (2) the consistent detection of low levels of Acholeplasma laidlawii with an absence of false negative results; and (3) the ability to distinguish among membrane filters with different bubble points. The results of the validation exercise demonstrate that the equipment, materials, and test methods of the A. laidlawii filter challenge test are suitably understood and in a state of control. This method is appropriate to characterize the performance of membrane filters used in biopharmaceutical applications.