HHS action plan to prevent healthcare-associated infections

"The Department of Health and Human Services (HHS) "Action Plan to Prevent Healthcare-Associated Infections" represents a culmination of several months of research, deliberation, and public comment to identify the key actions needed to achieve and sustain progress in protecting patients from the transmission of serious, and in some cases, deadly infections. In response to the increasing threat of HAIs and national and international concern, the Department has composed a Steering Committee of senior-level representatives from the Offices and Operating Divisions of HHS and conducted a number of in-person meetings and conferences with Federal experts. The Department's Action Plan toward the prevention and elimination of HAIs includes goals toward which the healthcare and public health communities have been moving over the past several years." p 1-2Executive summary -- Introduction -- Prevention: metrics and targets -- Prevention: prioritized recommendations -- Research -- Information systems and technology -- Incentives and oversight -- Outreach and messaging -- Coordination, evaluation, and conclusion -- AppendicesAgency for Healthcare Research and Quality, Office of the Assistant Secretary for Public Affairs, Office of the Assistant Secretary for Planning and Evaluation, Centers for Disease Control and Prevention, Centers for Medicare & Medicaid Services, Food and Drug Administration, National Institutes of Health, Office of the National Coordinator for Health Information Technology, Office of Public Health and Science."06222009."Title from title screen (viewed on March 17, 2011)

A Return to Virtue

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75581/1/j.1553-2712.2008.00309.x.pd

Patterns and correlates of tobacco control behavior among american association of pediatric dentistry members: a cross-sectional national study

<p>Abstract</p> <p>Background</p> <p>To determine the tobacco-related knowledge, attitudes, and practice behaviors among US pediatric dentists.</p> <p>Methods</p> <p>A survey was conducted in 1998 among a national, random sample of 1500 American Academy of Pediatric Dentistry members. Chi-square tests and logistic regression with odds ratios (ORs) and 95% confidence intervals assessed factors related to pediatric dentists' tobacco control behaviors.</p> <p>Results</p> <p>Response was 65% for the survey. Only 12% of respondents had prior tobacco prevention/cessation training. Of those untrained, 70% were willing to be trained. Less than two-thirds correctly answered any of four tobacco-related knowledge items. Over one-half agreed pediatric dentists should engage in tobacco control behaviors, but identified patient resistance as a barrier. About 24% of respondents reported always/often asking their adolescent patients about tobacco use; 73% reported always/often advising known tobacco users to quit; and 37% of respondents always/often assisting with stopping tobacco use. Feeling prepared to perform tobacco control behaviors (ORs = 1.9–2.8), a more positive attitude score (4 points) from 11 tobacco-related items (ORs = 1.5–1.8), and a higher statewide tobacco use prevalence significantly predicted performance of tobacco control behaviors.</p> <p>Conclusion</p> <p>Findings suggest thatraining programs on tobacco use and dependence treatment in the pediatric dental setting may be needed to promote tobacco control behaviors for adolescent patients.</p

Predictors of glycemic control among patients with Type 2 diabetes: A longitudinal study

BACKGROUND: Diabetes is the sixth leading cause of death and results in significant morbidity. The purpose of this study is to determine what demographic, health status, treatment, access/quality of care, and behavioral factors are associated with poor glycemic control in a Type 2 diabetic, low-income, minority, San Diego population. METHODS: Longitudinal observational data was collected on patients with Type 2 diabetes from Project Dulce, a program in San Diego County designed to care for an underserved diabetic population. The study sample included 573 patients with a racial/ethnic mix of 53% Hispanic, 7% black, 18% Asian, 20% white, and 2% other. We utilized mixed effects models to determine the factors associated with poor glycemic control using hemoglobin A1C (A1C) as the outcome of interest. A multi-step model building process was used resulting in a final parsimonious model with main effects and interaction terms. RESULTS: Patients had a mean age of 55 years, 69% were female, the mean duration of diabetes was 7.1 years, 31% were treated with insulin, and 57% were obese. American Diabetes Association (ADA) recommendations for blood pressure and total cholesterol were met by 71% and 68%, respectively. Results of the mixed effects model showed that patients who were uninsured, had diabetes for a longer period of time, used insulin or multiple oral agents, or had high cholesterol had higher A1C values over time indicating poorer glycemic control. The younger subjects also had poorer control. CONCLUSION: This study provides factors that predict glycemic control in a specific low-income, multiethnic, Type 2 diabetic population. With this information, subgroups with high risk of disease morbidity were identified. Barriers that prevent these patients from meeting their goals must be explored to improve health outcomes

How much locomotive activity is needed for an active physical activity level: analysis of total step counts

<p>Abstract</p> <p>Background</p> <p>Although physical activity recommendations for public health have focused on locomotive activity such as walking and running, it is uncertain how much these activities contribute to overall physical activity level (PAL). The purpose of the present study was to determine the contribution of locomotive activity to PAL using total step counts measured in a calorimeter study.</p> <p>Methods</p> <p>PAL, calculated as total energy expenditure divided by basal metabolic rate, was evaluated in 11 adult men using three different conditions for 24-hour human calorimeter measurements: a low-activity day (L-day) targeted at a low active level of PAL (1.45), and a high-frequency moderate activity day (M-day) or a high-frequency vigorous activity day (V-day) targeted at an active level of PAL (1.75). These subjects were permitted only light activities except prescribed activities. In a separate group of 41 adults, free-living PAL was evaluated using doubly-labeled water (DLW). In both experiments, step counts per day were also measured using an accelerometer.</p> <p>Results</p> <p>In the human calorimeter study, PAL and step counts were 1.42 ± 0.10 and 8,973 ± 543 steps/d (L-day), 1.82 ± 0.14 and 29,588 ± 1,126 steps/d (M-day), and 1.74 ± 0.15 and 23,755 ± 1,038 steps/d (V-day), respectively. In the DLW study, PAL and step counts were 1.73 ± 0.15 and 10,022 ± 2,605 steps/d, and there was no significant relationship between PAL and daily step counts.</p> <p>Conclusions</p> <p>These results indicate that an enormous number of steps are needed for an active level of PAL if individuals extend physical activity-induced energy expenditure by only locomotive activity. Therefore, non-locomotive activity such as household activity should also play a significant role in increasing PAL under free-living conditions.</p

EFSA Panel on Dietetic Products, Nutrition, and Allergies (NDA); Scientific Opinion on principles for deriving and applying Dietary Reference Values

This Opinion of the EFSA Panel on Dietetic products, Nutrition, and Allergies (NDA) deals with the general principles for development and application of Dietary Reference Values (DRVs). These quantitative reference values for nutrient intakes for healthy individuals and populations are based on health criteria. Derived from DRVs, nutrients goals and recommendations take into account other criteria such as food composition or dietary habits, and may be used for assessment and planning of diets. It is proposed to derive the following DRVs: 1) Population Reference Intakes (PRI), 2) Average Requirement (AR), 3) Lower Threshold Intake (LTI), 4) Adequate Intake (AI), 5) Reference Intake ranges for macronutrients (RI). Nutrient requirements differ with age, sex and physiological condition. The Panel proposes to define the age ranges used for each nutrient on a case-by-case basis depending on the available data. For the age group < 6 months requirements are considered to be equal to the supply from breast- milk, except in those cases where this does not apply. Separate reference values will be established for pregnant and lactating women. Interpolation or extrapolation between population groups will be used in instances where no data are available for defined age and sex groups

Emergency Medical Practice: Advancing Cultural Competence and Reducing Health Care Disparities

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72132/1/j.1553-2712.2008.00305.x.pd

Walkability and self-rated health in primary care patients

BACKGROUND: The objective of this study was to investigate the relationship between perceived walkability and overall self-rated health among patients who use community-based clinics. METHODS: A cross-sectional survey was distributed to a convenience sample in three community clinics. Forms were completed by 793 clinic patients. Multiple logistic regression analysis was to control for the effects of demographic variables and lifestyles. RESULTS: Perceiving the availability of places to walk was related to better self-rated health. The most important places were work (OR = 3.2), community center (OR = 3.12), park (OR = 2.45) and day care (OR = 2.05). Respondents who said they had zero (OR = .27) or one (OR = .49) place to walk were significantly less healthy than persons who said they had five or more places to walk. CONCLUSION: Persons who perceived that they had no place to walk were significantly less healthy than persons who thought they had at least one place to walk (OR = .39). Support for walkable neighborhoods and education of patients about options for walking may be in the best interests of community medicine patients

Quasi-experimental trial of diabetes Self-Management Automated and Real-Time Telephonic Support (SMARTSteps) in a Medicaid managed care plan: study protocol

<p>Abstract</p> <p>Background</p> <p>Health information technology can enhance self-management and quality of life for patients with chronic disease and overcome healthcare barriers for patients with limited English proficiency. After a randomized controlled trial of a multilingual automated telephone self-management support program (ATSM) improved patient-centered dimensions of diabetes care in safety net clinics, we collaborated with a nonprofit Medicaid managed care plan to translate research into practice, offering ATSM as a covered benefit and augmenting ATSM to promote medication activation. This paper describes the protocol of the Self-Management Automated and Real-Time Telephonic Support Project (SMARTSteps).</p> <p>Methods/Design</p> <p>This controlled quasi-experimental trial used a wait-list variant of a stepped wedge design to enroll 362 adult health plan members with diabetes who speak English, Cantonese, or Spanish and receive care at 4 publicly-funded clinics. Through language-stratified randomization, participants were assigned to four intervention statuses: SMARTSteps-ONLY, SMARTSteps-PLUS, or wait-list for either intervention. In addition to usual primary care, intervention participants received 27 weekly calls in their preferred language with rotating queries and response-triggered education about self-care, medication adherence, safety concerns, psychological issues, and preventive services. Health coaches from the health plan called patients with out-of-range responses for collaborative goal setting and action planning. SMARTSteps-PLUS also included health coach calls to promote medication activation, adherence and intensification, if triggered by ATSM-reported non-adherence, refill non-adherence from pharmacy claims, or suboptimal cardiometabolic indicators. Wait-list patients crossed-over to SMARTSteps-ONLY or -PLUS at 6 months. For participants who agreed to structured telephone interviews at baseline and 6 months (n = 252), primary outcomes will be changes in quality of life and functional status with secondary outcomes of 6-month changes in self-management behaviors/efficacy and patient-centered processes of care. We will also evaluate 6-month changes in cardiometabolic (HbA1c, blood pressure, and LDL) and utilization indicators for all participants.</p> <p>Discussion</p> <p>Outcomes will provide evidence regarding real-world implementation of ATSM within a Medicaid managed care plan serving safety net settings. The evaluation trial will provide insight into translating and scaling up health information technology interventions for linguistically and culturally diverse vulnerable populations with chronic disease.</p> <p>Trial Registration</p> <p>ClinicalTrials.gov: <a href="http://www.clinicaltrials.gov/ct2/show/NCT00683020">NCT00683020</a></p