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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
6345	Centers for Disease Control and Prevention	Html	en	Racial and ethnic disparities in the quality of diabetes care in a nationally representative sample.	null	Medical Expenditure Panel 0.59892 high school 0.499283 data 0.565689 analytic sample 0.502442 health insurance status 0.614625 Hispanic patients 0.530015 coronary heart attack 0.49856 foot examination 0.874887 primary sampling units 0.500971 Asian patients 0.504074 health insurance coverage 0.564568 HbA1c tests 0.734425 racial/ethnic minority status 0.525096 body mass index 0.50394 patients 0.812533 white patients 0.660239 self-rated health status 0.622478 quality 0.682487 racial/ethnic disparities 0.787055 comorbid cardiovascular condition 0.534921 unique individuals 0.547772 MEPS Diabetes Care 0.589321 federal poverty level 0.555066 FPL 0.535842	Expenditure Panel Survey 0.596808 differences 0.494216 diabetes care 0.975423 racial/ethnic minority 0.766681 black patients 0.538858 special diabetes weights 0.573806 HbA1c test 0.494588 household component 0.507394 health care 0.581561 worse diabetes outcomes 0.535913 public health 0.494387 racial/ethnic minority patients 0.627997 health care systems 0.50782 racial/ethnic minority groups 0.728609 lower quality 0.500211 diabetes care management 0.545782 health 0.753628 diabetes complications 0.497786 diabetes tests 0.503814 eye examination 0.730392 diabetes management 0.508263 Comorbid cardiovascular conditions 0.660703 American Diabetes Association 0.530677 diabetes 0.982062	CLICK HERE
7956	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | A Meta-Analysis of Health Status, Health Behaviors, and Healthcare Utilization Outcomes of the Chronic Disease Self-Management Program - CDC	The Chronic Disease Self-Management Program (CDSMP) is a community-based self-management education program designed to help participants gain confidence (self-efficacy) and skills to better manage their chronic conditions; it has been implemented worldwide. The objective of this meta-analysis was to quantitatively synthesize the results of CDSMP studies conducted in English-speaking countries to determine the program’s effects on health behaviors, physical and psychological health status, and health care utilization at 4 to 6 months and 9 to 12 months after baseline.	CDSMP studies 0.519013 small significant improvements 0.503707 small English-speaking group 0.858335 eligible studies 0.487478 English-speaking group mode 0.49464 outcomes 0.503831 self-rated health 0.540795 self-efficacy 0.486282 moderate improvements 0.501321 small Spanish-speaking group 0.496785 chronic disease management 0.535138 comprehensive chronic disease 0.497937 self-management education program 0.497646 health behaviors 0.614197 longitudinal evaluations 0.504957 health care services 0.492066 small significant effect 0.487087 indicated significant heterogeneity 0.4922 study design 0.514482 disease self-management program 0.538335 chronic disease 0.752885 physical health outcomes 0.491263 effect size 0.550508 health benefits 0.489058 Negative effect size 0.491967	health care utilization 0.959187 study 0.547261 English-speaking group delivery 0.494106 health distress 0.535293 United States 0.49397 English-speaking countries 0.486169 significant improvements 0.532984 chronic health conditions 0.507361 small Spanish-speaking groups 0.493085 small-group CDSMP studies 0.484711 psychological health status 0.626222 delivery modes 0.652967 cognitive symptom management 0.616675 studies 0.741021 aerobic exercise 0.517881 chronic disease self-management 0.660027 physical health status 0.524532 CDSMP 0.579385 chronic diseases 0.511388 small English-speaking groups 0.685445 alternative delivery modes 0.56515 English-speaking group studies 0.527624 chronic conditions 0.487212 delivery mode 0.671738	CLICK HERE
8882	Centers for Disease Control and Prevention	Html	en	Global Health - Stories	CDC works 24/7 to save lives, reduce disease, and improve health around the world.	CDC 0.610252 infectious diseases 0.626325 public health analysts 0.598197 Ebola outbreak 0.586456 emergency operations center 0.648687 Global Polio Eradication 0.579854 health security success 0.596576 health care. 0.580473 global health impact 0.612201 World Health Organization 0.651874 health facilities 0.576643 Health care workers 0.604721 field epidemiology 0.58967 Public health workers 0.611087 public health officials 0.693343 lethal public health 0.601381 Health identify patients 0.586322 Health Resources Services 0.598128 South Africa 0.615704 public health agencies 0.621539 public health emergencies… 0.610073 global health security 0.799961 Health Security Agenda 0.639137 global health problem 0.597281 community health extension 0.589056	disease outbreaks 0.60743 global health response 0.603403 public health threats 0.670719 health facility-based disease 0.616957 Public Health Degrees 0.605662 public health victories 0.596084 field epidemiology training 0.585351 public health emergency 0.628193 solid public health 0.61009 public health stakeholders 0.600579 local disease outbreak 0.590685 primary health center 0.590713 private health sector 0.591444 public health 0.972726 largest public health 0.600232 epidemiology training program 0.584626 international disease outbreaks 0.599495 people 0.591129 World Health Assembly 0.599825 sustainable national health 0.59644 global HIV/AIDS epidemic 0.584264 global health partners 0.604056 Solino Health Center 0.591596 public health laboratory 0.635721	CLICK HERE
10164	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Building Cancer Control Capacity: a Mixed-Method Evaluation of the Research to Reality (R2R) Mentorship Program - CDC	In 2011, the National Cancer Institute launched the Research to Reality (R2R) Pilot Mentorship Program to enhance mentees’ core evidence-based public health (EBPH) competencies. In this article, we describe the program and its evaluation results and the program’s ability to improve participants’ EBPH competencies and appropriateness of program components. Program evaluation consisted of a pre/post program competency questionnaire and interviews with mentees, mentors, mentees’ supervisors, and program staff. Mentees reported the same or higher rating in every competency at end of the program, with average increase of 0.6 points on a 4-point scale; the greatest improvements were seen in policy development/program planning. Mentorship programs are a promising strategy to develop EBPH competencies, provide guidance, and disseminate and adapt evidence-based interventions within real-world context.	Pilot Mentorship Program 0.648816 colorectal cancer trends 0.425593 EBPH competency areas 0.478928 training webinars 0.434791 site visit 0.417644 policy development/program planning 0.55186 mentees 0.965682 real world 0.488006 state health departments 0.424791 higher rating 0.49705 project deliverables 0.444812 4-point scale 0.498327 project management 0.429037 report evaluation results 0.443379 postprogram EBPH competency 0.482922 EBPH competencies 0.751942 average increase 0.420721 community engagement 0.495919 public health practice 0.533933 online community platform 0.431941 multiple data sources 0.419594 public health training 0.46825 QUERI theme articles 0.417105 cancer control 0.61532	program components 0.757745 postprogram competency questionnaire 0.460199 program’s ability 0.526585 Clinical Research Directorate/CMRP 0.414902 comprehensive cancer control 0.458163 4-point Likert scale 0.432116 National Cancer Institute 0.758071 program staff 0.482423 pre/post program competency 0.544047 mentorship programs 0.616377 evaluation results 0.446711 public health 0.823678 participants 0.434548 EBPH competency 0.503832 basic public health 0.456442 challenges mentees 0.628765 studies evaluating mentorship 0.454879 postprogram individual interviews 0.426856 competency questionnaire 0.46964 Program evaluation 0.455135 Public Health Manag 0.44126 evidence-based public health 0.593982 primary program components 0.498685 cancer control practitioners 0.605612	CLICK HERE
10225	Centers for Disease Control and Prevention	Html	en	Public Service Announcements: Staying Safe in Your Home During a Hurricane (ASL)	null	typhoons 0.450001 injuries 0.400141 high tidal waves 0.963398 flooding 0.435299 hurricane 0.402652 water 0.375881 food 0.376121	high winds 0.707806 cyclones 0.431519 tropical storms 0.746931 world 0.381241 heavy rain 0.732409 hurricanes 0.722042	CLICK HERE
10576	Centers for Disease Control and Prevention	Html	en	Resources | Chikungunya virus | CDC	Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention.	South America 0.236152 Trop Med Hyg. 0.383406 Public Health Officials 0.267062 Disease Prevention 0.233877 Chikungunya Virus Spreads 0.55874 Laven JJ 0.266412 Chikungunya fact sheets 0.493869 X. Chikungunya fever 0.470277 CDC Health Advisory 0.289936 Kosoy OL 0.258682 Emerg Infect Dis. 0.271726 CDC. Notes 0.239455 Reporting Chikungunya Virus 0.532632 Lancet Infect Dis. 0.26956 World Health Organization 0.314243 CDC. Chikungunya 0.539901 CDC Travel Notice 0.290046 Lamballerie X. Chikungunya 0.537342 Clin Infect Dis. 0.323668 Communication Tool Kit 0.260064 Infect Dis. 0.336549 Chikungunya Virus Introduction 0.557853 Yellow Book 0.234583 American Health Organization 0.347295	chikungunya infection 0.446371 Household Investigations 0.234494 CDC. Chikungunya Cases 0.533999 Americas 0.237579 United States 0.329033 Re–emerging Disease 0.234088 chikungunya virus 0.933999 Pan American Health 0.349111 Communication Activity webinar 0.261945 Wkly Epidemiol Rec. 0.253561 re-emerging infectious disease 0.25533 Travelers Returning 0.24095 Chikungunya Fever Diagnosed 0.554458 CDC. Chikungunya Fever 0.52633 Expert Rev Vaccines. 0.252907 chikungunya fever 0.6866 chikungunya virus infection 0.556968 Soc Trop Med 0.272915 CDC Clinician Outreach 0.280331 CDC Press Release 0.283013 International Travelers 0.263118 Osorio JE 0.238047 CDC. Update 0.235017 Rajapakse A. Atypical 0.255382	CLICK HERE
11093	Centers for Disease Control and Prevention	Html	en	2012 National Report on Biochemical Indicators of Diet and Nutrition - Frequently Asked Questions	CDC's Second Nutrition Report is a comprehensive biochemical assessment of the U.S. population's nutrition status Covering 58 biochemical indicators. The Second Nutrition Report is part of a series of publications that provide ongoing assessment of the U.S. population's nutrition status by measuring blood and urine concentrations of biochemical indicators from people who took part in CDC's National Health and Nutrition Examination Survey (NHANES)	fatty acid levels 0.456862 first-time data 0.379598 biochemical indicator levels 0.462053 diet-and-nutrition biochemical indicator 0.440064 CDC NHANES Web 0.379444 vitamin B6 0.461315 nutrition deficiency 0.386619 health outcomes 0.411996 nutrition status 0.662125 iron deficiency 0.394312 Nutrition Examination Survey 0.390504 new biochemical indicators 0.528155 general U.S. population 0.422371 public health officials 0.379259 vitamin D deficiency 0.464623 biochemical indicators 0.941702 biochemical levels 0.482609 population groups 0.437521 urine levels 0.408824 human health studies 0.379095 Web site 0.427624 vitamin C deficiency 0.43645 vitamin supplements 0.443231 blood folate levels 0.470853 public health scientists 0.38079	nutrition indicators 0.464694 nutrition report 0.457723 nutrition status factors 0.394193 dietary supplements 0.493954 iron-status indicators 0.430469 No. NHANES data 0.382551 non-Hispanic whites 0.395003 race/ethnic groups 0.383052 heart-healthy polyunsaturated fatty 0.387654 adequate biochemical levels 0.460994 fatty acids 0.443808 population reference levels 0.416716 non-hispanic blacks 0.432034 U.S. population 0.821055 Folate deficiency 0.39808 food safety 0.383638 biochemical indicator concentrations 0.438095 public health efforts 0.43355 report 0.614299 population groups−like minorities 0.396039 information 0.389988 risk 0.379601 levels 0.528883 age 0.400531	CLICK HERE
11273	Centers for Disease Control and Prevention	Html	en	Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Distribution of Employed Youth FTEs (Ages 16-17) by Industry Sector, United States, 2011	Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Distribution of Employed Youth FTEs (Ages 16-17) by Industry Sector, United States, 2011	CDC 0.257579 United States 0.625133 Health 0.235663 Industry Sector 0.695103 Employed Youth FTEs 0.99791 Charts 0.235509 public microdata files 0.57626 Young Worker Employment 0.63939	Current Population Survey 0.534916 Illnesses 0.251975 Young Worker Safety 0.645129 Distribution 0.272538 NIOSH analyses 0.423891 Labor Statistics 0.37885 Injuries 0.245732	CLICK HERE
12513	Centers for Disease Control and Prevention	Video	en	VAE, VAP and PNEU Definition Changes for 2015	This Hot Topics presentation will provide you with updates to Ventilator Associated Event, or VAE, and Pneumonia and Ventilator Associated Pneumonia, or VAP, reporting protocols for 2015. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://streaming.cdc.gov/vod.php?id=b496413f1cd2989d00faa51af931da4020141119125437234	VAP 0.852337 PNEU Definition Changes 0.995269	VAE 0.816238	CLICK HERE
13064	Centers for Disease Control and Prevention	Html	en	National Public Health Week 2016	Social Media Tools for CDC.	Public Health Association 0.733923 Healthiest Nation 0.43899 NPHW facts 0.403065 CDC 0.252311 partnership 0.242073 goal 0.235203 code 0.232161 00PM ET 0.437228 National Public Health 0.907804 button 0.243006 Public Health Nerd 0.555207	Generation 0.234903 U.S. 0.235083 healthier nation 0.394492 Copy 0.23752 support 0.260831 annual National Public 0.515443 conversation 0.240967 American Public Health 0.734379 NPWH Twitter Chat 0.684257 Health Week Twitter 0.460676	CLICK HERE