ARTICLES LIST

 

Total Results: 16203

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 Panel0.59892
high school0.499283
data0.565689
analytic sample0.502442
health insurance status0.614625
Hispanic patients0.530015
coronary heart attack0.49856
foot examination0.874887
primary sampling units0.500971
Asian patients0.504074
health insurance coverage0.564568
HbA1c tests0.734425
racial/ethnic minority status0.525096
body mass index0.50394
patients0.812533
white patients0.660239
self-rated health status0.622478
quality0.682487
racial/ethnic disparities0.787055
comorbid cardiovascular condition0.534921
unique individuals0.547772
MEPS Diabetes Care0.589321
federal poverty level0.555066
FPL0.535842
Expenditure Panel Survey0.596808
differences0.494216
diabetes care0.975423
racial/ethnic minority0.766681
black patients0.538858
special diabetes weights0.573806
HbA1c test0.494588
household component0.507394
health care0.581561
worse diabetes outcomes0.535913
public health0.494387
racial/ethnic minority patients0.627997
health care systems0.50782
racial/ethnic minority groups0.728609
lower quality0.500211
diabetes care management0.545782
health0.753628
diabetes complications0.497786
diabetes tests0.503814
eye examination0.730392
diabetes management0.508263
Comorbid cardiovascular conditions0.660703
American Diabetes Association0.530677
diabetes0.982062
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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 studies0.519013
small significant improvements0.503707
small English-speaking group0.858335
eligible studies0.487478
English-speaking group mode0.49464
outcomes0.503831
self-rated health0.540795
self-efficacy0.486282
moderate improvements0.501321
small Spanish-speaking group0.496785
chronic disease management0.535138
comprehensive chronic disease0.497937
self-management education program0.497646
health behaviors0.614197
longitudinal evaluations0.504957
health care services0.492066
small significant effect0.487087
indicated significant heterogeneity0.4922
study design0.514482
disease self-management program0.538335
chronic disease0.752885
physical health outcomes0.491263
effect size0.550508
health benefits0.489058
Negative effect size0.491967
health care utilization0.959187
study0.547261
English-speaking group delivery0.494106
health distress0.535293
United States0.49397
English-speaking countries0.486169
significant improvements0.532984
chronic health conditions0.507361
small Spanish-speaking groups0.493085
small-group CDSMP studies0.484711
psychological health status0.626222
delivery modes0.652967
cognitive symptom management0.616675
studies0.741021
aerobic exercise0.517881
chronic disease self-management0.660027
physical health status0.524532
CDSMP0.579385
chronic diseases0.511388
small English-speaking groups0.685445
alternative delivery modes0.56515
English-speaking group studies0.527624
chronic conditions0.487212
delivery mode0.671738
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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.
CDC0.610252
infectious diseases0.626325
public health analysts0.598197
Ebola outbreak0.586456
emergency operations center0.648687
Global Polio Eradication0.579854
health security success0.596576
health care.0.580473
global health impact0.612201
World Health Organization0.651874
health facilities0.576643
Health care workers0.604721
field epidemiology0.58967
Public health workers0.611087
public health officials0.693343
lethal public health0.601381
Health identify patients0.586322
Health Resources Services0.598128
South Africa0.615704
public health agencies0.621539
public health emergencies…0.610073
global health security0.799961
Health Security Agenda0.639137
global health problem0.597281
community health extension0.589056
disease outbreaks0.60743
global health response0.603403
public health threats0.670719
health facility-based disease0.616957
Public Health Degrees0.605662
public health victories0.596084
field epidemiology training0.585351
public health emergency0.628193
solid public health0.61009
public health stakeholders0.600579
local disease outbreak0.590685
primary health center0.590713
private health sector0.591444
public health0.972726
largest public health0.600232
epidemiology training program0.584626
international disease outbreaks0.599495
people0.591129
World Health Assembly0.599825
sustainable national health0.59644
global HIV/AIDS epidemic0.584264
global health partners0.604056
Solino Health Center0.591596
public health laboratory0.635721
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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 Program0.648816
colorectal cancer trends0.425593
EBPH competency areas0.478928
training webinars0.434791
site visit0.417644
policy development/program planning0.55186
mentees0.965682
real world0.488006
state health departments0.424791
higher rating0.49705
project deliverables0.444812
4-point scale0.498327
project management0.429037
report evaluation results0.443379
postprogram EBPH competency0.482922
EBPH competencies0.751942
average increase0.420721
community engagement0.495919
public health practice0.533933
online community platform0.431941
multiple data sources0.419594
public health training0.46825
QUERI theme articles0.417105
cancer control0.61532
program components0.757745
postprogram competency questionnaire0.460199
program’s ability0.526585
Clinical Research Directorate/CMRP0.414902
comprehensive cancer control0.458163
4-point Likert scale0.432116
National Cancer Institute0.758071
program staff0.482423
pre/post program competency0.544047
mentorship programs0.616377
evaluation results0.446711
public health0.823678
participants0.434548
EBPH competency0.503832
basic public health0.456442
challenges mentees0.628765
studies evaluating mentorship0.454879
postprogram individual interviews0.426856
competency questionnaire0.46964
Program evaluation0.455135
Public Health Manag0.44126
evidence-based public health0.593982
primary program components0.498685
cancer control practitioners0.605612
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10225 Centers for Disease Control and Prevention Html en Public Service Announcements: Staying Safe in Your Home During a Hurricane (ASL) null
typhoons0.450001
injuries0.400141
high tidal waves0.963398
flooding0.435299
hurricane0.402652
water0.375881
food0.376121
high winds0.707806
cyclones0.431519
tropical storms0.746931
world0.381241
heavy rain0.732409
hurricanes0.722042
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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 America0.236152
Trop Med Hyg.0.383406
Public Health Officials0.267062
Disease Prevention0.233877
Chikungunya Virus Spreads0.55874
Laven JJ0.266412
Chikungunya fact sheets0.493869
X. Chikungunya fever0.470277
CDC Health Advisory0.289936
Kosoy OL0.258682
Emerg Infect Dis.0.271726
CDC. Notes0.239455
Reporting Chikungunya Virus0.532632
Lancet Infect Dis.0.26956
World Health Organization0.314243
CDC. Chikungunya0.539901
CDC Travel Notice0.290046
Lamballerie X. Chikungunya0.537342
Clin Infect Dis.0.323668
Communication Tool Kit0.260064
Infect Dis.0.336549
Chikungunya Virus Introduction0.557853
Yellow Book0.234583
American Health Organization0.347295
chikungunya infection0.446371
Household Investigations0.234494
CDC. Chikungunya Cases0.533999
Americas0.237579
United States0.329033
Re–emerging Disease0.234088
chikungunya virus0.933999
Pan American Health0.349111
Communication Activity webinar0.261945
Wkly Epidemiol Rec.0.253561
re-emerging infectious disease0.25533
Travelers Returning0.24095
Chikungunya Fever Diagnosed0.554458
CDC. Chikungunya Fever0.52633
Expert Rev Vaccines.0.252907
chikungunya fever0.6866
chikungunya virus infection0.556968
Soc Trop Med0.272915
CDC Clinician Outreach0.280331
CDC Press Release0.283013
International Travelers0.263118
Osorio JE0.238047
CDC. Update0.235017
Rajapakse A. Atypical0.255382
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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 levels0.456862
first-time data0.379598
biochemical indicator levels0.462053
diet-and-nutrition biochemical indicator0.440064
CDC NHANES Web0.379444
vitamin B60.461315
nutrition deficiency0.386619
health outcomes0.411996
nutrition status0.662125
iron deficiency0.394312
Nutrition Examination Survey0.390504
new biochemical indicators0.528155
general U.S. population0.422371
public health officials0.379259
vitamin D deficiency0.464623
biochemical indicators0.941702
biochemical levels0.482609
population groups0.437521
urine levels0.408824
human health studies0.379095
Web site0.427624
vitamin C deficiency0.43645
vitamin supplements0.443231
blood folate levels0.470853
public health scientists0.38079
nutrition indicators0.464694
nutrition report0.457723
nutrition status factors0.394193
dietary supplements0.493954
iron-status indicators0.430469
No. NHANES data0.382551
non-Hispanic whites0.395003
race/ethnic groups0.383052
heart-healthy polyunsaturated fatty0.387654
adequate biochemical levels0.460994
fatty acids0.443808
population reference levels0.416716
non-hispanic blacks0.432034
U.S. population0.821055
Folate deficiency0.39808
food safety0.383638
biochemical indicator concentrations0.438095
public health efforts0.43355
report0.614299
population groups−like minorities0.396039
information0.389988
risk0.379601
levels0.528883
age0.400531
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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
CDC0.257579
United States0.625133
Health0.235663
Industry Sector0.695103
Employed Youth FTEs0.99791
Charts0.235509
public microdata files0.57626
Young Worker Employment0.63939
Current Population Survey0.534916
Illnesses0.251975
Young Worker Safety0.645129
Distribution0.272538
NIOSH analyses0.423891
Labor Statistics0.37885
Injuries0.245732
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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
VAP0.852337
PNEU Definition Changes0.995269
VAE0.816238
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13064 Centers for Disease Control and Prevention Html en National Public Health Week 2016 Social Media Tools for CDC.
Public Health Association0.733923
Healthiest Nation0.43899
NPHW facts0.403065
CDC0.252311
partnership0.242073
goal0.235203
code0.232161
00PM ET0.437228
National Public Health0.907804
button0.243006
Public Health Nerd0.555207
Generation0.234903
U.S.0.235083
healthier nation0.394492
Copy0.23752
support0.260831
annual National Public0.515443
conversation0.240967
American Public Health0.734379
NPWH Twitter Chat0.684257
Health Week Twitter0.460676
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