How do parents of preverbal children with acute otitis media determine how much ear pain their child is having?

The objective of this study was to determine how parents of preverbal children determine whether their child is having otalgia. We constructed 8 cases describing a 1-year-old child with acute otitis media (AOM) using various combinations of the following 6 observable symptoms: fussiness, ear tugging, eating less, fever, sleeping difficulty, and playing less. Parents of children with a history of AOM presenting for well or sick appointments to an ambulatory clinic were asked to assign a pain level to each case on a visual analog scale. Sixty-nine parents participated in the study. Each of the 6 behaviors was associated with increased pain levels (P < .0001). Ear tugging and fussiness had the highest impact on the assigned pain levels. Higher level of parental education and private insurance were associated with higher reported pain levels (P = .007 and P = .001, respectively). Because interpretation of symptoms appears to be influenced by socioeconomic status, we question the utility of using an overall pain score from a 1-item parent scale as an outcome measure in clinical trials that include preverbal children. Perspective: Parents of preverbal children with acute otitis media use observable behaviors to determine their child's pain level. Interpretation of symptoms, however, appears to be influenced by socioeconomic status. Thus, we question the utility of using a 1-item parental pain scale in clinical trials that include preverbal children. © 2010 by the American Pain Society

An evidence-based socioecological framework to understand men’s use of anabolic androgenic steroids and inform interventions in this area

Research into men’s use of anabolic androgenic steroids (AAS) over the past three decades has identified many factors that contribute to decision making in this area. However there are limited theoretical frameworks to synthesize this research and guide practice, such as interventions to prevent use or reduce health risks. To address this gap a socioecological framework is presented based upon the international literature examining AAS use. Socioecological models recognize that individuals and behaviors exist within complex physical and social systems and are useful tools for guiding interventions to ensure consideration is given to multiple influential factors. This framework proposes that use of AAS is the result of the interaction of a range of factors at the individual, social network, institutional, community and societal levels that are likely to change over time and with experience. Viewed through this framework it becomes clear that AAS use can be a complex behavior with many influential environments and relationships impacting on a diverse population in different ways and at different times. The implications of findings for engaging with people who use AAS and delivering interventions are discussed, such as the identification of important transition times and influencing norms within social groups and communities

A characteristics framework for Semantic Information Systems Standards

Semantic Information Systems (IS) Standards play a critical role in the development of the networked economy. While their importance is undoubted by all stakeholders—such as businesses, policy makers, researchers, developers—the current state of research leaves a number of questions unaddressed. Terminological confusion exists around the notions of “business semantics”, “business-to-business interoperability”, and “interoperability standards” amongst others. And, moreover, a comprehensive understanding about the characteristics of Semantic IS Standards is missing. The paper addresses this gap in literature by developing a characteristics framework for Semantic IS Standards. Two case studies are used to check the applicability of the framework in a “real-life” context. The framework lays the foundation for future research in an important field of the IS discipline and supports practitioners in their efforts to analyze, compare, and evaluate Semantic IS Standard

Rapid tests and urine sampling techniques for the diagnosis of urinary tract infection (UTI) in children under five years: a systematic review

Background: Urinary tract infection (UTI) is one of the most common sources of infection in children under five. Prompt diagnosis and treatment is important to reduce the risk of renal scarring. Rapid, cost-effective, methods of UTI diagnosis are required as an alternative to culture. Methods: We conducted a systematic review to determine the diagnostic accuracy of rapid tests for detecting UTI in children under five years of age. Results: The evidence supports the use of dipstick positive for both leukocyte esterase and nitrite (pooled LR+ = 28.2, 95% CI: 17.3, 46.0) or microscopy positive for both pyuria and bacteriuria (pooled LR+ = 37.0, 95% CI: 11.0, 125.9) to rule in UTI. Similarly dipstick negative for both LE and nitrite (Pooled LR- = 0.20, 95% CI: 0.16, 0.26) or microscopy negative for both pyuria and bacteriuria (Pooled LR- = 0.11, 95% CI: 0.05, 0.23) can be used to rule out UTI. A test for glucose showed promise in potty-trained children. However, all studies were over 30 years old. Further evaluation of this test may be useful. Conclusion: Dipstick negative for both LE and nitrite or microscopic analysis negative for both pyuria and bacteriuria of a clean voided urine, bag, or nappy/pad specimen may reasonably be used to rule out UTI. These patients can then reasonably be excluded from further investigation, without the need for confirmatory culture. Similarly, combinations of positive tests could be used to rule in UTI, and trigger further investigation

Antimüllerian Hormone as a Predictor of Natural Fecundability in Women Aged 30–42 Years

To generate estimates of the association between markers of ovarian aging and natural fertility in a community sample at risk for ovarian aging

Estimation of allele frequency and association mapping using next-generation sequencing data

<p>Abstract</p> <p>Background</p> <p>Estimation of allele frequency is of fundamental importance in population genetic analyses and in association mapping. In most studies using next-generation sequencing, a cost effective approach is to use medium or low-coverage data (e.g., < 15<it>X</it>). However, SNP calling and allele frequency estimation in such studies is associated with substantial statistical uncertainty because of varying coverage and high error rates.</p> <p>Results</p> <p>We evaluate a new maximum likelihood method for estimating allele frequencies in low and medium coverage next-generation sequencing data. The method is based on integrating over uncertainty in the data for each individual rather than first calling genotypes. This method can be applied to directly test for associations in case/control studies. We use simulations to compare the likelihood method to methods based on genotype calling, and show that the likelihood method outperforms the genotype calling methods in terms of: (1) accuracy of allele frequency estimation, (2) accuracy of the estimation of the distribution of allele frequencies across neutrally evolving sites, and (3) statistical power in association mapping studies. Using real re-sequencing data from 200 individuals obtained from an exon-capture experiment, we show that the patterns observed in the simulations are also found in real data.</p> <p>Conclusions</p> <p>Overall, our results suggest that association mapping and estimation of allele frequencies should not be based on genotype calling in low to medium coverage data. Furthermore, if genotype calling methods are used, it is usually better not to filter genotypes based on the call confidence score.</p

Risk Factors for Recurrent Urinary Tract Infection and Renal Scarring

To identify risk factors for recurrent urinary tract infection (UTI) and renal scarring in children who have had 1 or 2 febrile or symptomatic UTIs and received no antimicrobial prophylaxis