A compendium of strategies to prevent healthcare-associated infections in acute care hospitals: 2014 updates.

Since the publication of "A Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals" in 2008, prevention of healthcare-associated infections (HAIs) has become a national priority. Despite improvements, preventable HAIs continue to occur. The 2014 updates to the Compendium were created to provide acute care hospitals with up-to-date, practical, expert guidance to assist in prioritizing and implementing their HAI prevention efforts. They are the product of a highly collaborative effort led by the Society for Healthcare Epidemiology of America (SHEA), the Infectious Diseases Society of America (IDSA), the American Hospital Association (AHA), the Association for Professionals in Infection Control and Epidemiology (APIC), and The Joint Commission, with major contributions from representatives of a number of organizations and societies with content expertise, including the Centers for Disease Control and Prevention (CDC), the Institute for Healthcare Improvement (IHI), the Pediatric Infectious Diseases Society (PIDS), the Society for Critical Care Medicine (SCCM), the Society for Hospital Medicine (SHM), and the Surgical Infection Society (SIS).

Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data

Smart homes for the aging population have recently started attracting the attention of the research community. The "health state" of smart homes is comprised of many different levels; starting with the physical health of citizens, it also includes longer-term health norms and outcomes, as well as the arena of positive behavior changes. One of the problems of interest is to monitor the activities of daily living (ADL) of the elderly, aiming at their protection and well-being. For this purpose, we installed passive infrared (PIR) sensors to detect motion in a specific area inside a smart apartment and used them to collect a set of ADL. In a novel approach, we describe a technology that allows the ground truth collected in one smart home to train activity recognition systems for other smart homes. We asked the users to label all instances of all ADL only once and subsequently applied data mining techniques to cluster in-home sensor firings. Each cluster would therefore represent the instances of the same activity. Once the clusters were associated to their corresponding activities, our system was able to recognize future activities. To improve the activity recognition accuracy, our system preprocessed raw sensor data by identifying overlapping activities. To evaluate the recognition performance from a 200-day dataset, we implemented three different active learning classification algorithms and compared their performance: naive Bayesian (NB), support vector machine (SVM) and random forest (RF). Based on our results, the RF classifier recognized activities with an average specificity of 96.53%, a sensitivity of 68.49%, a precision of 74.41% and an F-measure of 71.33%, outperforming both the NB and SVM classifiers. Further clustering markedly improved the results of the RF classifier. An activity recognition system based on PIR sensors in conjunction with a clustering classification approach was able to detect ADL from datasets collected from different homes. Thus, our PIR-based smart home technology could improve care and provide valuable information to better understand the functioning of our societies, as well as to inform both individual and collective action in a smart city scenario.

Follow-up care of adolescent survivors of childhood cancer: The role of health beliefs

BACKGROUND Little is known about follow-up care attendance of adolescent survivors of childhood cancer, and which factors foster or hinder attendance. Attending follow-up care is especially important for adolescent survivors to allow for a successful transition into adult care. We aimed to (i) describe the proportion of adolescent survivors attending follow-up care; (ii) describe adolescents' health beliefs; and (iii) identify the association of health beliefs, demographic, and medical factors with follow-up care attendance. PROCEDURE Of 696 contacted adolescent survivors diagnosed with cancer at ≤16 years of age, ≥5 years after diagnosis, and aged 16-21 years at study, 465 (66.8%) completed the Swiss Childhood Cancer Survivor Study questionnaire. We assessed follow-up care attendance and health beliefs, and extracted demographic and medical information from the Swiss Childhood Cancer Registry. Cross-sectional data were analyzed using descriptive statistics and logistic regression models. RESULTS Overall, 56% of survivors reported attending follow-up care. Most survivors (80%) rated their susceptibility for late effects as low and believed that follow-up care may detect and prevent late effects (92%). Few (13%) believed that follow-up care is not necessary. Two health beliefs were associated with follow-up care attendance (perceived benefits: odds ratio [OR]: 1.56; 95% confidence interval [CI]: 1.07-2.27; perceived barriers: OR: 0.70; 95%CI: 0.50-1.00). CONCLUSIONS We show that health beliefs are associated with actual follow-up care attendance of adolescent survivors of childhood cancer. A successful model of health promotion in adolescent survivors should, therefore, highlight the benefits and address the barriers to keep adolescent survivors in follow-up care. Pediatr Blood Cancer © 2015 Wiley Periodicals, Inc.

Management of Home Parenteral Nutrition: A Prospective Multicenter Observational Study

BACKGROUND There are no specific Swiss home parenteral nutrition (HPN) data showing patient characteristics, quality of life (QoL) and complications. The goal of this study was to collect representative nationwide data on current adult HPN patients in Switzerland for international comparability and benchmarking. METHODS This was a multicenter, nationwide, observational study. We conducted interviews for demographics, PN characteristics, QoL and complications. The data were assessed at baseline and after a follow-up of 3 months using a questionnaire. RESULTS Thirty-three adult patients were included. The most common underlying diseases were cancer, radiation enteritis and state after bariatric surgery, and the most prevalent indication was short bowel syndrome. During the 3-month observation period, significant increase or stabilization of body weight occurred in the patients, physical activity scores improved from 34.0 to 39.4 and mental scores improved from 41.9 to 46.4. HPN dependency and traveling restrictions were of the greatest concern. Diarrhea, xerostomia and/or thirst were frequent complaints. CONCLUSION Anthropometric parameters and QoL improved during the observational period in this HPN cohort. These Swiss HPN data are prerequisite for evaluation and comparison of HPN recommendations and best clinical practice, status of professional care instructions related to HPN effectiveness, quality of treatment and patient safety.