Quality assurance for the query and distribution systems of the RCSB Protein Data Bank

The RCSB Protein Data Bank (RCSB PDB, www.pdb.org) is a key online resource for structural biology and related scientific disciplines. The website is used on average by 165 000 unique visitors per month, and more than 2000 other websites link to it. The amount and complexity of PDB data as well as the expectations on its usage are growing rapidly. Therefore, ensuring the reliability and robustness of the RCSB PDB query and distribution systems are crucially important and increasingly challenging. This article describes quality assurance for the RCSB PDB website at several distinct levels, including: (i) hardware redundancy and failover, (ii) testing protocols for weekly database updates, (iii) testing and release procedures for major software updates and (iv) miscellaneous monitoring and troubleshooting tools and practices. As such it provides suggestions for how other websites might be operated

Birth preparedness and complication readiness (BPCR) among pregnant women in hard-to-reach areas in Bangladesh:BPCR in hard-to-reach areas of Bangladesh

Birth preparedness and complication readiness aims to reduce delays in care seeking, promote skilled birth attendance, and facility deliveries. Little is known about birth preparedness practices among populations living in hard-to-reach areas in Bangladesh.To describe levels of birth preparedness and complication readiness among recently delivered women, identify determinants of being better prepared for birth, and assess the impact of greater birth preparedness on maternal and neonatal health practices.A cross-sectional survey with 2,897 recently delivered women was undertaken in 2012 as part of an evaluation trial done in five hard-to-reach districts in rural Bangladesh. Mothers were considered well prepared for birth if they adopted two or more of the four birth preparedness components. Descriptive statistics and multivariable logistic regression were used for analysis.Less than a quarter (24.5%) of women were considered well prepared for birth. Predictors of being well-prepared included: husband's education (OR = 1.3; CI: 1.1-1.7), district of residence, exposure to media in the form of reading a newspaper (OR = 2.2; CI: 1.2-3.9), receiving home visit by a health worker during pregnancy (OR = 1.5; CI: 1.2-1.8), and receiving at least 3 antenatal care visits from a qualified provider (OR = 1.4; CI: 1.0-1.9). Well-prepared women were more likely to deliver at a health facility (OR = 2.4; CI: 1.9-3.1), use a skilled birth attendant (OR = 2.4, CI: 1.9-3.1), practice clean cord care (OR = 1.3, CI: 1.0-1.5), receive post-natal care from a trained provider within two days of birth for themselves (OR = 2.6, CI: 2.0-3.2) or their newborn (OR = 2.6, CI: 2.1-3.3), and seek care for delivery complications (OR = 1.8, CI: 1.3-2.6).Greater emphasis on BPCR interventions tailored for hard to reach areas is needed to improve skilled birth attendance, care seeking for complications and essential newborn care and facilitate reductions in maternal and neonatal mortality in low performing districts in Bangladesh

De-identifying a public use microdata file from the Canadian national discharge abstract database

<p>Abstract</p> <p>Background</p> <p>The Canadian Institute for Health Information (CIHI) collects hospital discharge abstract data (DAD) from Canadian provinces and territories. There are many demands for the disclosure of this data for research and analysis to inform policy making. To expedite the disclosure of data for some of these purposes, the construction of a DAD public use microdata file (PUMF) was considered. Such purposes include: confirming some published results, providing broader feedback to CIHI to improve data quality, training students and fellows, providing an easily accessible data set for researchers to prepare for analyses on the full DAD data set, and serve as a large health data set for computer scientists and statisticians to evaluate analysis and data mining techniques. The objective of this study was to measure the probability of re-identification for records in a PUMF, and to de-identify a national DAD PUMF consisting of 10% of records.</p> <p>Methods</p> <p>Plausible attacks on a PUMF were evaluated. Based on these attacks, the 2008-2009 national DAD was de-identified. A new algorithm was developed to minimize the amount of suppression while maximizing the precision of the data. The acceptable threshold for the probability of correct re-identification of a record was set at between 0.04 and 0.05. Information loss was measured in terms of the extent of suppression and entropy.</p> <p>Results</p> <p>Two different PUMF files were produced, one with geographic information, and one with no geographic information but more clinical information. At a threshold of 0.05, the maximum proportion of records with the diagnosis code suppressed was 20%, but these suppressions represented only 8-9% of all values in the DAD. Our suppression algorithm has less information loss than a more traditional approach to suppression. Smaller regions, patients with longer stays, and age groups that are infrequently admitted to hospitals tend to be the ones with the highest rates of suppression.</p> <p>Conclusions</p> <p>The strategies we used to maximize data utility and minimize information loss can result in a PUMF that would be useful for the specific purposes noted earlier. However, to create a more detailed file with less information loss suitable for more complex health services research, the risk would need to be mitigated by requiring the data recipient to commit to a data sharing agreement.</p

Abstract An empirical comparison and characterization of high defect and high complexity modules

We analyzed a large set of complexity metrics and defect data collected from six large-scale software products, two from IBM and four from Nortel Networks, to compare and characterize the similarities and differences between the high defect (HD) and high complexity modules. We observed that the most complex modules often have an acceptable quality and HD modules are not typically the most complex ones. This observation was statistically validated through hypothesis testing. Our analyses also indicated that the clusters of modules with the highest defects are usually those whose complexity rankings are slightly below the most complex ones. These results should help us better understand the complexity behavior of HD modules and guide future software development and research efforts

Impact of Organizational-level Factors on Cancer Screening Activities in Fire Departments: A Cross-sectional Study from the Sylvester Firefighter Cancer Initiative

Despite known individual-level facilitators of cancer screening, the impact of work-related organizational-level characteristics on cancer screening is unknown particularly in the firefighter workforce who is experiencing a disproportionate burden of cancer. We examine the association between fire service organizational-level factors and implementation of cancer screening activities within Florida fire departments. We used a cross-sectional observational study design to survey fire department leaders attending the Florida Fire Chiefs' Association Health and Safety conference about cancer screening activities implemented by their fire departments. Measures assessing organizational-level characteristics include: fire department workforce size, total health and safety officers, fire department geographic location, employment type, leadership support and capacity. Among the 126 fire departments participating (response rate = 47.7%), approximately 44% reported some type of cancer screening activity in the 12 months prior to survey administration. The proportion of fire departments with two or more health and safety officers was significantly greater among those with cancer screening activities as compared with departments without cancer screening activities (46.3% vs. 24.2%; = 0.016). There were no statistical differences noted for cancer screening activities among all other organizational-level characteristics including workforce size, fire department geographic location, employment type, leadership support, and individual capacity measures. Most organizational-level characteristics of a fire department evaluated in this study were not associated with cancer screening activities; however, having two or more dedicated health and safety officers supports the delivery of cancer screening activities. These officers may be a key to improving availability of cancer screening activities at work

Breast cancers from black women exhibit higher numbers of immunosuppressive macrophages with proliferative activity and of crown-like structures associated with lower survival compared to non-black Latinas and Caucasians

Racial disparities in breast cancer incidence and outcome are a major health care challenge. Patients in the black race group more likely present with an early onset and more aggressive disease. The occurrence of high numbers of macrophages is associated with tumor progression and poor prognosis in solid malignancies. Macrophages are observed in adipose tissues surrounding dead adipocytes in "crown-like structures" (CLS). Here we investigated whether the numbers of CD163+ tumor-associated macrophages (TAMs) and/or CD163+ CLS are associated with patient survival and whether there are significant differences across blacks, non-black Latinas, and Caucasians. Our findings confirm that race is statistically significantly associated with the numbers of TAMs and CLS in breast cancer, and demonstrate that the highest numbers of CD163+ TAM/CLS are found in black breast cancer patients. Our results reveal that the density of CD206 (M2) macrophages is a significant predictor of progression-free survival univariately and is also significant after adjusting for race and for HER2, respectively. We examined whether the high numbers of TAMs detected in tumors from black women were associated with macrophage proliferation, using the Ki-67 nuclear proliferation marker. Our results reveal that TAMs actively divide when in contact with tumor cells. There is a higher ratio of proliferating macrophages in tumors from black patients. These findings suggest that interventions based on targeting TAMs may not only benefit breast cancer patients in general but also serve as an approach to remedy racial disparity resulting in better prognosis patients from minority racial groups