Background:Relapsing-onset multiple sclerosis (MS) typically starts in early- to mid-adulthood, yet the trajectory of disease activity over the subsequent lifetime remains poorly defined. Previous ...

The past several decades have seen significant policy efforts to improve the quality of care in nursing homes, but the patient safety movement has largely ignored this setting. In this study we compared nursing homes’ performance on several composite quality measures from Nursing Home Compare, the most prominent recent example of a national policy aimed at improving the quality of nursing home care, to their performance on measures of patient safety in nursing homes such as pressure sores, infections, falls, and medication errors. Although Nursing Home Compare captures some aspects of patient safety, we found the relationship to be weak and somewhat inconsistent, leaving consumers who care about patient safety with little guidance. We recommend that Nursing Home Compare be refined to provide a clearer picture of patient safety and quality of life, allowing consumers to weight these domains according to their preferences and priorities.

Background: The veracity of the association between antibiotic use and hemolytic uremic syndrome (HUS) caused by Escherichia coli O157:H7 has been a topic of debate. We postulated that criteria used to define HUS affect this association. Methods: We reviewed 471 hospitalized E. coli O157:H7 cases reported in Washington State, 2005–2014, to determine HUS status by various case definitions and antibiotic treatment. We used age-adjusted logistic regression models to estimate the effect of treatment on HUS status according to four common, but heterogeneous, definitions: the Council of State and Territorial Epidemiologists (CSTE) definition, hematology-focused and age-focused definitions from the literature, and hospital diagnosis. Results: Inter-annual variation in antibiotic use was high, but no meaningful change in antibiotic use was observed over this ten-year period. Thirteen percent of cases <18 years-old received antibiotics, compared to 54% of cases ≥18 years-old. The CSTE, hematology-focused, age-focused, and hospital diagnosis definitions identified 149, 57, 74, and 89 cases of HUS, respectively. The association between antibiotic treatment and HUS varied by definition: CSTE odds ratio (OR) 1.57 [95% confidence interval (CI) 0.98, 2.55]; hematology-focused OR 1.73 (95% CI 0.83, 3.54); age-focused OR 2.29 (95% CI 1.20, 4.39); and hospital diagnosis OR 1.94 (95% CI 1.01, 3.72). Conclusions: Each definition yielded an estimate of the association in the direction of increased risk of HUS with antibiotics. While the range of OR point estimates was relatively small, confidence intervals for two HUS definitions crossed the null and two did not, potentially altering the inference an investigator makes. Discrepant reports of the association between antibiotic use and HUS in the literature might be due in part to the choice of HUS definition, and a consistent definition of HUS should be adopted for research and public health purposes.

Background: Multiple case definitions for post-diarrheal hemolytic uremic syndrome (D+ HUS) associated with Shiga toxin-producing Escherichia coli (STEC) are used across public health, research, and clinical practice. Methods: To identify a single definition of D+ HUS for standardized use, we evaluated the comparability and validity of four common, heterogeneous definitions: the Council of State and Territorial Epidemiologists (CSTE) definition, hematology-focused and age-focused definitions from the literature, and hospital diagnosis. We reviewed medical records from 471 hospitalized E. coli O157:H7 cases reported in Washington State, 2005–2014. We assessed 1) reliability across definitions, 2) comparability of temporal trends, and 3) sensitivity and specificity using an omnibus reference standard, developed using a combination of definition agreement and clinical outcomes. With the standard, we classified cases as definite, borderline, or unlikely/not post-diarrheal D+ HUS. Results: Reliability was highest between the age-focused definition and hospital diagnosis (κ = 0.84), and temporal trends were largely comparable across definitions. For definite D+ HUS cases, the age-focused definition had the highest overall validity [100% sensitivity, 95% confidence interval (CI): 94%, 100%; 96% specificity, 95% CI: 94%, 98%]. The CSTE definition had low specificity (75%, 95% CI: 70%, 79%). Conclusions: In this review, the CSTE definition overestimated the burden of D+ HUS, and the age-focused definition provided the best overall reliability and validity to define post-diarrheal D+ HUS. Disease monitoring and research activities should consider using the age-focused D+ HUS definition.

The often-noted and persistent increased incidence of Escherichia coli O157:H7 infections in rural areas is not well understood. We used a cohort of E. coli O157:H7 cases reported in Washington, USA, during 2005-2014, along with phylogenomic characterization of the infecting isolates, to identify geographic segregation of and temporal trends in specific phylogenetic lineages of E. coli O157:H7. Kernel estimation and generalized additive models demonstrated that pathogen lineages were spatially segregated during the period of analysis and identified a focus of segregation spanning multiple, predominantly rural, counties for each of the main clinical lineages, Ib, IIa, and IIb. These results suggest the existence of local reservoirs from which humans are infected. We also noted a secular increase in the proportion of lineage IIa and IIb isolates. Spatial segregation by phylogenetic lineage offers the potential to identify local reservoirs and intervene to prevent continued transmission.

Escherichia coli O157:H7 is the largest cause of hemolytic uremic syndrome (HUS). Previous studies proposed that HUS risk varies across the E. coli O157:H7 phylogenetic tree (hypervirulent clade 8), but the role of age in the association is unknown. We determined phylogenetic lineage of E. coli O157:H7 isolates from 1160 culture-confirmed E. coli O157:H7 cases reported in Washington State, 2004-2015. Using generalised estimating equations, we tested the association between phylogenetic lineage and HUS. Age was evaluated as an effect modifier. Among 1082 E. coli O157:H7 cases with both phylogenetic lineage and HUS status (HUS n = 76), stratified analysis suggested effect modification by age. Lineages IIa and IIb, relative to Ib, did not appear associated with HUS in children 0-9-years-old. For cases 10-59-years-old, lineages IIa and IIb appeared to confer increased risk of HUS, relative to lineage Ib. The association reversed in ≥60-year-olds. Results were similar for clade 8. Phylogenetic lineage appears to be associated with HUS risk only among those ≥10-years-old. Among children <10, the age group most frequently affected, lineage does not explain progression to HUS. However, lineage frequency varied across age groups, suggesting differences in exposure and/or early disease manifestation.

Family satisfaction, while recognized as important, is frequently missing from validated measures of long-term care quality. This is the first study to compare family satisfaction across two states using validated measures and to compare the organizational and structural factors associated with higher family satisfaction with nursing home care. Data sources are family satisfaction surveys from Minnesota (MN) and Ohio (OH), linked to facility characteristics from Certification and Survey Provider Enhanced Reports (CASPER) for both states (N = 378 facilities for MN; N = 926 facilities for OH). Activities and food were among lowest rated items in both states. Relationships with staff were the highest rated domain. Higher occupancy rates, smaller facility size, and non-profit ownership consistently predicted better satisfaction in both states. Our findings show consistent organizational factors associated with family satisfaction and provide further evidence to the validity of family satisfaction as a person-...

Healthcare delivery has advanced due to the implementation of point-of-care testing, which is often performed within minutes to hours in minimally equipped laboratories or at home. Technologic advances are leading to point-of-care kits that incorporate nucleic acid-based assays, including polymerase chain reaction, isothermal amplification, ligation, and hybridization reactions. As a limited number of single-nucleotide polymorphisms are associated with clinically significant human immunodeficiency virus (HIV) drug resistance, assays to detect these mutations have been developed. Early versions of these assays have been used in research. This review summarizes the principles underlying each assay and discusses strategic needs for their incorporation into the management of HIV infection.

BACKGROUND Interventions in infectious diseases can have both direct effects on individuals who receive the intervention as well as indirect effects in the population. In addition, intervention combinations can have complex interactions at the population level, which are often difficult to adequately assess with standard study designs and analytical methods. DISCUSSION Herein, we urge the adoption of a new paradigm for the design and interpretation of intervention trials in infectious diseases, particularly with regard to emerging infectious diseases, one that more accurately reflects the dynamics of the transmission process. In an increasingly complex world, simulations can explicitly represent transmission dynamics, which are critical for proper trial design and interpretation. Certain ethical aspects of a trial can also be quantified using simulations. Further, after a trial has been conducted, simulations can be used to explore the possible explanations for the observed effects. CONCLUSION Much is to be gained through a multidisciplinary approach that builds collaborations among experts in infectious disease dynamics, epidemiology, statistical science, economics, simulation methods, and the conduct of clinical trials.

OBJECTIVES The aim of this study is to investigate racial differences in nursing home (NH) residents' quality of life (QOL) at the resident and facility levels. METHOD We used hierarchical linear modeling to identify significant resident- and facility-level predictors for racial differences in six resident-reported QOL domains. Data came from the following: (a) resident-reported QOL (n = 10,929), (b) the Minimum Data Set, and (c) facility-level characteristics from the Minnesota Department of Human Services (n = 376). RESULTS White residents reported higher QOL in five of six domains, but in full models, individual-level racial differences remained only for food enjoyment. On the facility level, higher percentage of White residents was associated with better scores in three domains, even after adjusting for all characteristics. DISCUSSION Racial differences in QOL exist on individual and aggregate levels. Individual differences are mainly explained by health status. The finding that facility racial composition predicts QOL more than individual race underscores the importance of examining NH structural characteristics and practices.

Support from social network members may help to facilitate access to HIV medical care, especially in low resourced communities. As part of a randomized clinical trial of a community-level stigma and risk reduction intervention in Thai Nguyen, Vietnam for people living with HIV who inject drugs (PWID), 341 participants were administered a baseline social network inventory. Network predictors of antiretroviral therapy (ART) initiation at the 6-month follow-up were assessed. The social networks of PWID were sparse. Few participants who reported injectors in their networks also reported family members, whereas those who did not have injectors were more likely to report family members and network members providing emotional support and medical advice. In multivariate models, having at least one network member who provided medical advice predicted ART initiation at 6 months (OR 2.74, CI 1.20–6.28). These results suggest the importance of functional social support and network support mobilization for ART initiation among PWID. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

PURPOSE OF THE STUDY: Although there is substantial research on quality of care in nursing homes (NH), less is known about what contributes to quality of life (QOL) for NH residents. This study assesses multiple domains of QOL and examines facility- and resident-level correlates for different domains. DESIGN AND METHODS: Data come from (a) self-reported resident interviews using a multidimensional measure of QOL; (b) resident clinical data from the Minimum Data Set; and (c) facility-level characteristics from Minnesota Department of Human Services. We used factor analysis to confirm domains of QOL, and then employed cross-sectional hierarchical linear modeling to identify significant resident- and facility-level predictors of each domain. RESULTS: We examined six unique domains of QOL: environment, personal attention, food, engagement, negative mood, and positive mood. In multilevel models, resident-level characteristics were more reliable correlates of QOL than facility characteristics. Among resident characteristics, gender, age, marital status, activities of daily living, mood disorders, cognitive limitations, and length of stay consistently predicted QOL domains. Among facility characteristics, size, staff hours, quality of care, and percent of residents on Medicaid predicted multiple QOL domains. IMPLICATIONS: Examining separate domains rather than a single summary score makes associations with predictors more accurate. Resident characteristics account for the majority of variability in resident QOL. Helping residents maintain functional abilities, and providing an engaging social environment may be particularly important in improving QOL.

The Terra Populus project (TerraPop) addresses a variety of data management, curation, and preservation challenges with respect to spatiotemporal population and environmental data. In this article, we describe our approaches to these challenges, with a particular focus on geospatial data workflows and associated provenance metadata. The goal of TerraPop is to enable research, learning, and policy analysis by providing integrated spatiotemporal data describing people and their environment. To do so, TerraPop is assembling a globe-spanning and temporally extensive collection of high-quality population and environmental data, ensuring good documentation, and developing a Web-based data access system that enables users to assemble customized integrated data sets drawing on a variety of data sources and formats. We describe TerraPop's collection strategies, detail the geospatial workflows involved in preparing data for ingest into the project database and those used to transform data across formats for dissemination, and discuss the system used to capture and manage provenance metadata throughout the project. A key aspect of the project is the development of global current and historical administrative unit boundaries that can be linked to census data. These boundaries serve as the linchpin of TerraPop's data integration strategy, and constitute an important data set in their own right.