| 5268 |
Centers for Disease Control and Prevention |
Html |
en |
Science Says: Findings You Can Use |
Findings may help improve the effectiveness of individuals and organizations that interact and communicate with people about health. |
| Health Behavior Change | 0.721475 |
| minimal distracting | 0.639503 |
| medical decision making | 0.686445 |
| numeracy tent | 0.615817 |
| scientific data | 0.615285 |
| verbal narratives | 0.627549 |
| consumer satisfaction | 0.680923 |
| George A. Miller | 0.694008 |
| present baseline risk | 0.715954 |
| quick judgments | 0.61566 |
| hospital death rates | 0.83348 |
| conceptual framework | 0.612598 |
| limited literacy skills | 0.755955 |
| personal stories | 0.611144 |
| risk communication | 0.682056 |
| Health literacy interventions | 0.75021 |
| risk comprehension | 0.66412 |
| print presentations | 0.614731 |
| health literacy | 0.765987 |
| quality information | 0.658671 |
| health communication | 0.733573 |
| reasonable size | 0.605918 |
| genetic counseling dialogue | 0.711111 |
| patient outcomes | 0.608812 |
|
| essential information | 0.702986 |
| explain risks | 0.606939 |
| oral literacy demand | 0.753259 |
| risk estimates | 0.623332 |
| organizational elements | 0.610271 |
| Mazor et al. | 0.701137 |
| Narrative Communication | 0.614277 |
| consent information | 0.731547 |
| risk reduction information | 0.759312 |
| treatment benefit | 0.674205 |
| statistical evidence | 0.616561 |
| descriptive headings | 0.88174 |
| programmatic activities | 0.630217 |
| low literacy skills | 0.951927 |
| specific design features | 0.692478 |
| Public health information | 0.793787 |
| information overload | 0.664107 |
| absolute risk | 0.626103 |
| health education materials | 0.758651 |
| format modifications | 0.608446 |
| information | 0.928783 |
| health plan | 0.626852 |
| Preliminary test | 0.614891 |
| computer-based presentations | 0.613046 |
|
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| 6207 |
Centers for Disease Control and Prevention |
Html |
en |
General Information Features - Cancer Prevention and Control |
An overview of cancer topics that are appropriate for the season, or support a health awareness day or month. |
| specific kinds | 0.386211 |
| right cancer | 0.424677 |
| cancer deaths | 0.488697 |
| best way | 0.395425 |
| lung cancer | 0.523498 |
| cancer increases | 0.4349 |
| healthy choices | 0.394262 |
| cancer claims | 0.478138 |
| gynecologic cancers | 0.407522 |
| Cervical Cancer Awareness | 0.529442 |
| healthy lifestyles | 0.38935 |
| healthy lifestyle | 0.382404 |
| Workplace Cancer Prevention | 0.485342 |
| Health Disparities | 0.387448 |
| cancer patients | 0.558502 |
| greatest risk | 0.38523 |
| Lung Cancer Awareness | 0.504466 |
| younger women | 0.39836 |
| Young Women | 0.400909 |
| Breast Cancer Awareness | 0.548237 |
| Colorectal Cancer Awareness | 0.516155 |
| regular physical activity | 0.459805 |
| Skin Cancer Awareness | 0.488351 |
| prostate cancers | 0.405624 |
| common non-skin cancer | 0.489976 |
|
| women | 0.421344 |
| United States | 0.46375 |
| healthy behaviors | 0.383498 |
| cancer experience | 0.420406 |
| children’s risk | 0.39437 |
| breast cancers | 0.428307 |
| men | 0.414036 |
| Flu Information | 0.391058 |
| treatment works | 0.385439 |
| regular screening tests | 0.454537 |
| higher risk | 0.396758 |
| Prostate Cancer Awareness | 0.503611 |
| common cause | 0.386262 |
| breast cancer | 0.639797 |
| healthy weight | 0.395841 |
| Cancer Awareness | 0.825116 |
| younger age | 0.394157 |
| flu shot | 0.387909 |
| cancer risk | 0.428041 |
| health care help | 0.44903 |
| screening mammogram | 0.405423 |
| cancer | 0.930896 |
| vulvar cancers | 0.406025 |
| Cancer Prevention | 0.541076 |
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| 6289 |
Centers for Disease Control and Prevention |
Html |
en |
Affordable Care Act helps improve the health of the American workforce, increase workplace health programs - Press Release: September 30, 2011 |
Affordable Care Act helps improve the health of the American workforce, increase workplace health programs |
| Interested companies | 0.468238 |
| worksite cafeterias | 0.48793 |
| proper nutrition | 0.463454 |
| tobacco–free campus policies | 0.51761 |
| long–term health problems | 0.559157 |
| workplace health initiative | 0.593861 |
| Research Triangle Institute | 0.514695 |
| Disease Control | 0.478602 |
| Heart disease | 0.4712 |
| healthy food choices | 0.529151 |
| healthy lifestyles | 0.491174 |
| risk factors | 0.472631 |
| successful workplace health | 0.573034 |
| two–year period | 0.464724 |
| good health practices | 0.550307 |
| chronic disease | 0.465023 |
| work environments | 0.471362 |
| health care costs | 0.556216 |
| Affordable Care Act | 0.536035 |
| u.s. department | 0.508036 |
| employee knowledge | 0.467542 |
| American workers | 0.477325 |
| employee engagement | 0.468136 |
| workplace health programs | 0.91612 |
| Research Triangle Park | 0.51447 |
|
| employee participation | 0.46936 |
| workplace health program | 0.590183 |
| Viridian Health Management | 0.560837 |
| healthy behaviors | 0.546251 |
| new initiative | 0.483431 |
| workplace culture | 0.502015 |
| safe environment | 0.470908 |
| worksite health programs | 0.592634 |
| project funds | 0.464682 |
| work schedules | 0.469596 |
| chronic diseases | 0.473615 |
| significant cost savings | 0.522933 |
| key lifestyle behaviors | 0.525654 |
| evidence–based initiatives | 0.462281 |
| comprehensive workplace health | 0.619933 |
| human services | 0.507915 |
| health costs | 0.496474 |
| employee productivity | 0.466331 |
| American businesses | 0.470868 |
| physical activity | 0.46545 |
| workplace health experience | 0.590684 |
| worksite capacity | 0.483019 |
| Thomas R. Frieden | 0.532381 |
| employee health | 0.505478 |
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| 6330 |
Centers for Disease Control and Prevention |
Html |
en |
Intention to seek care for symptoms associated with gynecologic cancers, HealthStyles Survey, 2008. |
null |
| logistic regression model | 0.441839 |
| demographic characteristics | 0.429316 |
| Gynecologic Cancer Education | 0.473991 |
| gynecologic cancer symptoms | 0.613692 |
| gynecologic cancer concern | 0.470489 |
| gynecologic cancer | 0.900396 |
| Women’s intention | 0.425797 |
| greater concern | 0.392053 |
| intention exist | 0.403872 |
| gynecologic cancers | 0.997036 |
| Disease Control | 0.413303 |
| Hispanic women | 0.401623 |
| certain symptoms | 0.403901 |
| health care providers | 0.393371 |
| persistent symptoms | 0.428628 |
| gastrointestinal symptoms | 0.389978 |
| Introduction
Women | 0.379242 |
| Gynecologic Cancer campaign | 0.474662 |
| ovarian cancer | 0.558508 |
| menopausal status | 0.409693 |
| nongynecologic symptoms | 0.398912 |
| intention | 0.699667 |
| influenza-like symptoms | 0.478687 |
| ovarian cancer symptoms | 0.445469 |
| national mail survey | 0.424844 |
|
| symptoms | 0.932801 |
| white women | 0.410828 |
| survey | 0.470015 |
| black women | 0.434143 |
| women | 0.938313 |
| care | 0.720836 |
| Knowledge campaign | 0.383751 |
| generalized health care | 0.387224 |
| women’s intentions | 0.390187 |
| actual care-seeking behavior | 0.38641 |
| premenopausal women | 0.503322 |
| Facts About Gynecologic | 0.466537 |
| marital status | 0.387121 |
| gynecologic symptoms | 0.507053 |
| health care | 0.404549 |
| postmenopausal women | 0.506301 |
| nongynecologic cancer symptoms | 0.427938 |
| annual household income | 0.502624 |
| abnormal symptoms | 0.46361 |
| gynecologic cancer signs | 0.454324 |
| employment status | 0.388381 |
| cancers prompt intention | 0.460624 |
| public health initiatives | 0.398572 |
| survey participants | 0.410325 |
|
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| 9524 |
Centers for Disease Control and Prevention |
Html |
en |
Human papillomavirus (HPV) and Oropharyngeal Cancer - Fact Sheet |
HPV - What is genital HPV? What is oral HPV? What head and neck cancers can be caused by HPV? How common is it? |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 10614 |
Centers for Disease Control and Prevention |
Html |
en |
World Health Day | Digital Press Kit | CDC Online Newsroom |
World Health Day |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 10687 |
Centers for Disease Control and Prevention |
Html |
en |
Verification Analysis'Research' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
CLICK HERE |
| 11942 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Practical Guidance and Ethical Considerations for Studies Using Photo-Elicitation Interviews - CDC |
Photo-elicitation is a qualitative interviewing technique that has gained popularity in recent years. It is the foundation for photovoice projects and is a tool well-suited for community-based participatory research. Photo-elicitation yields rich data, and interview participants say these interviews encourage community awareness and engagement. This article draws on 9 studies, conducted by researchers at 3 institutions (the University of Pennsylvania, the Philadelphia Veterans Affairs Medical Center, and the Geisel School of Medicine at Dartmouth) in partnership with community-based organizations and students, in which 303 participants completed photo-elicitation interviews. |
| photo-elicitation interview technique | 0.650127 |
| Perelman School | 0.624415 |
| study participants | 0.635177 |
| photo-elicitation project | 0.630368 |
| public health researchers | 0.625092 |
| Dartmouth Photovoice Study | 0.740692 |
| Human Services | 0.6266 |
| in-depth interviews | 0.669333 |
| project | 0.636203 |
| Philadelphia VA Medical | 0.647623 |
| Wood Johnson Foundation | 0.6293 |
| Affairs Medical Center | 0.860226 |
| participant-generated photographs | 0.627428 |
| Public Health Initiatives | 0.640985 |
| vulnerable populations | 0.625876 |
| interview participants | 0.689731 |
| digital cameras | 0.657272 |
| ethical concerns | 0.670707 |
| Philadelphia Veterans Affairs | 0.853207 |
| Veterans Affairs Medical | 0.855153 |
| researchers | 0.764386 |
| Dartmouth College | 0.637442 |
| Pennsylvania | 0.650012 |
| photographs | 0.981299 |
| University | 0.622654 |
|
| photo-elicitation studies | 0.693191 |
| HOPPP participants | 0.670875 |
| interview guide | 0.746234 |
| Geisel School | 0.639036 |
| re-familiarizes participants | 0.626363 |
| photo-elicitation interviews | 0.845555 |
| interview location | 0.748079 |
| VA Medical Center | 0.642544 |
| institutional review board | 0.661776 |
| photovoice projects | 0.631029 |
| Robert Wood Johnson | 0.628529 |
| reticent participants | 0.621969 |
| community-based participatory research | 0.731499 |
| training participants | 0.621654 |
| public health | 0.71896 |
| participants | 0.987821 |
| Freedom/Operation Iraqi Freedom | 0.628665 |
| participant photographs | 0.63132 |
| community participants | 0.640909 |
| ethical considerations | 0.62421 |
| Society Scholars Program | 0.624208 |
| training sessions | 0.626432 |
| Johnson Foundation Health | 0.641511 |
| photo-elicitation interview guide | 0.689558 |
|
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| 12183 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | The Role of Fear and Disgust inPredicting the Effectiveness of Television Advertisements ThatGraphically Depict the Health Harms of Smoking - CDC |
Antismoking television advertisements that depict the graphic health harms of smoking are increasingly considered best practices, as exemplified by the Centers for Disease Control and Prevention’s current national campaign. Evaluation of responses to these widely used advertisements is important to determine advertisements that are most effective and their mechanisms of action. Our study tested the hypothesis that advertisements rated highest in fear- and disgust-eliciting imagery would be rated as the most effective. |
| effective antismoking advertisements | 0.364742 |
| study | 0.225846 |
| high disgust | 0.220181 |
| CDC antismoking advertisements | 0.373415 |
| emotional responses | 0.230045 |
| national antismoking media | 0.21922 |
| fear–disgust interaction | 0.816145 |
| health harms | 0.373489 |
| advertisements | 0.900893 |
| greater perceived effectiveness | 0.296139 |
| graphic health harms | 0.218084 |
| ratings | 0.305547 |
| antismoking health-harms advertisements | 0.40066 |
| smoking status | 0.386693 |
| good antismoking ad. | 0.203733 |
| Suzy’s Tip | 0.389595 |
| North Dakota | 0.224984 |
| antismoking mass media | 0.224364 |
| participants | 0.210072 |
|
| effectiveness | 0.653985 |
| Terrie’s Tip | 0.603997 |
| effective advertisements | 0.226864 |
| positive advertisements | 0.244713 |
| graphic imagery | 0.481644 |
| disgust responses | 0.295107 |
| graphic advertisements | 0.261291 |
| antismoking advertisements | 0.499758 |
| Tob Control | 0.273749 |
| fear responses | 0.244642 |
| widely used advertisements | 0.313979 |
| new CDC advertisements | 0.281538 |
| Introduction
Antismoking television | 0.238448 |
| recent antismoking campaign | 0.230714 |
| young adults | 0.240991 |
| advertisement effectiveness ratings | 0.287336 |
| graphic antismoking advertisements | 0.426738 |
| antismoking television advertisements | 0.581872 |
|
CLICK HERE |
| 12485 |
Centers for Disease Control and Prevention |
Video |
en |
October 2013 ACIP Meeting -- Influenza |
Introduction by Dr. R Karron. Update: influenza epidemiology by Dr. L Grohskopf. Vaccine coverage, 2012-2013 by Dr. J Singleton. Fluzone high-dose vaccine efficacy trial results by r. D Greenburg.
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=886ac3bed2983a696dadf36a2f77f3a320140110123042305 |
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CLICK HERE |