| 951 |
Centers for Disease Control and Prevention |
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Vital Signs: Improving Antibiotic Use Among Hospitalized Patients |
Scott Fridkin, MD1, James Baggs, PhD1, Ryan Fagan, MD1, Shelley Magill, MD, PhD1, Lori A. Pollack, MD1, Paul Malpiedi, MPH1, Rachel Slayton, PhD1, Karim Khader, PhD2 Michael A. Rubin, MD, PhD2, Makoto Jones, MD1, Matthew H. |
| inpatient antibiotic prescribing | 0.873837 |
| Antibiotic Threats | 0.628559 |
| antibiotic therapy | 0.657938 |
| antibiotic groups | 0.63681 |
| inpatient broad-spectrum antibiotics | 0.644635 |
| infectious diseases | 0.538151 |
| Emerging Infections Program | 0.836139 |
| CDI | 0.616803 |
| antimicrobial use option | 0.62571 |
| MarketScan Hospital Drug | 0.575893 |
| broad-spectrum antibiotics | 0.864984 |
| antibiotic use prevalence | 0.650163 |
| new antibiotics | 0.55588 |
| antibiotic use measurement | 0.635675 |
| antibiotic group | 0.702347 |
| antibiotic resistance | 0.796062 |
| available antibiotic treatments | 0.66361 |
| patient care locations | 0.684022 |
| EIP data collectors | 0.530885 |
| National Healthcare Safety | 0.716483 |
| U.S. acute care | 0.62252 |
| time antibiotics | 0.5534 |
| incorrect antibiotic prescribing | 0.826047 |
| inpatient antibiotic exposure | 0.731778 |
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| antibiotic stewardship programs | 0.817522 |
| Clostridium difficile infection | 0.611279 |
| U.S. hospitals.†Antibiotic | 0.698484 |
| public health | 0.580923 |
| individual patients | 0.524272 |
| Hospital Drug Database | 0.570659 |
| patients | 0.810922 |
| control.* Antibiotic | 0.652912 |
| inpatient antibiotics | 0.569223 |
| antibiotic use data | 0.679478 |
| incorrect prescribing occurs | 0.54489 |
| C. difficile infections | 0.533152 |
| antibiotic stewardship program | 0.677167 |
| antibiotic prescribing practices | 0.692589 |
| CDI surveillance data | 0.555506 |
| hospital antibiotic stewardship | 0.681593 |
| Riley TV. Antibiotics | 0.573786 |
| treatment antibiotics | 0.575888 |
| acute care hospitals | 0.731085 |
| hospital CDI rates | 0.561134 |
| antibiotic timeout | 0.615301 |
| usage rates | 0.600936 |
| Healthcare Safety Network | 0.716473 |
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Centers for Disease Control and Prevention |
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Niax® Catalyst ESN - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
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| different file formats | 0.938484 |
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| 7359 |
Centers for Disease Control and Prevention |
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Fetal Alcohol Spectrum Disorder Awareness - CDC Feature | CDC Features |
Drinking alcohol during pregnancy can cause FASDs. Read about Melissa’s experience with alcohol use during pregnancy. Information about the new FASD app is also provided. |
| Alcohol consumption data | 0.484739 |
| amazing musician | 0.265281 |
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| drinking alcohol | 0.455341 |
| pregnant woman | 0.304477 |
| iPod Touch | 0.395953 |
| big deal | 0.26185 |
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| health care providers | 0.578207 |
| FASDs | 0.457591 |
| Fetal Alcohol Syndrome | 0.521332 |
| wrong information | 0.263949 |
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| personal stories | 0.258773 |
| behavioral problems | 0.245535 |
| pregnancy | 0.574656 |
| Easy-to-read information | 0.258003 |
| NOFAS website | 0.250359 |
| little bit | 0.257896 |
| doctor | 0.200788 |
| alcohol spectrum disorders | 0.971489 |
| CDC’s FASD | 0.301211 |
| Apple App store | 0.415721 |
| new FASD app | 0.520235 |
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| free materials | 0.252806 |
| healthy start | 0.237195 |
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| special thanks | 0.259536 |
| fetal alcohol spectrum | 0.984651 |
| terrifying moment | 0.270419 |
| information | 0.264042 |
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| new brand | 0.264196 |
| wide range | 0.251058 |
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| 8204 |
Centers for Disease Control and Prevention |
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Tourette Syndrome, Families, Bullying |
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| imbalance | 0.464704 |
| insulting emails | 0.683763 |
| passage | 0.450922 |
| Tourette Syndrome | 0.693024 |
| peers | 0.451439 |
| name-calling | 0.444805 |
| section | 0.48108 |
| StopBullying.gov | 0.444502 |
| children | 0.762263 |
| aggressive behavior | 0.926551 |
| potential | 0.448081 |
| smallest kid | 0.724187 |
| school personnel | 0.654954 |
| social media posts | 0.873668 |
| disability harassment | 0.833885 |
| teasing | 0.468801 |
| additional resources | 0.940043 |
| significantly higher risk | 0.924204 |
| effects | 0.501104 |
| receipt | 0.450231 |
| Individuals | 0.444546 |
| Internet | 0.446873 |
| bullying | 0.816282 |
| problems | 0.447434 |
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| federal laws | 0.644139 |
| abusive behavior | 0.647128 |
| student | 0.477936 |
| adults | 0.495951 |
| normal rites | 0.68095 |
| Education Act | 0.643712 |
| hostile environment | 0.65452 |
| power | 0.448499 |
| class | 0.45632 |
| cell phones | 0.662233 |
| kids | 0.488328 |
| target children | 0.693138 |
| written statements | 0.652923 |
| disabilities | 0.535173 |
| form | 0.447023 |
| texts | 0.446384 |
| conduct | 0.444223 |
| legal right | 0.682098 |
| regulations | 0.444043 |
| nonverbal behavior | 0.659442 |
| information | 0.444612 |
| time | 0.447998 |
| intimidation | 0.465416 |
| verbal acts | 0.655034 |
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| 8705 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Multiple Chronic Conditions Among US Adults Who Visited Physician Offices: Data From the National Ambulatory Medical Care Survey, 2009 - CDC |
Most research on adults with chronic conditions focuses on a single disease or condition, such as hypertension or diabetes, rather than on multiple chronic conditions (MCC). Our study’s objective was to compare physician office visits by adults with MCC with visits by adults without MCC, by selected patient demographic characteristics. |
| demographic characteristics | 0.398485 |
| chronic kidney disease | 0.373986 |
| NAMCS | 0.388213 |
| adults | 0.352683 |
| chronic conditions dyads | 0.381919 |
| frequently occurring dyads | 0.35362 |
| Multiple Chronic Diseases | 0.37421 |
| common MCC dyads | 0.378446 |
| nationally representative survey | 0.364619 |
| triads | 0.356777 |
| multiple chronic conditions | 0.461976 |
| adult visits | 0.435177 |
| visits | 0.892699 |
| number | 0.348092 |
| ambulatory care visits | 0.423108 |
| frequently occurring chronic | 0.394489 |
| adult patients | 0.358297 |
| men | 0.411875 |
| medications | 0.36627 |
| private insurance-for visits | 0.433013 |
| total visits | 0.420439 |
| medicare beneficiaries | 0.357153 |
| private insurance | 0.545718 |
| prevalent chronic condition | 0.40583 |
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| ambulatory medical care | 0.407252 |
| frequent chronic condition | 0.367863 |
| National Ambulatory Medical | 0.373485 |
| estimates | 0.346616 |
| non-Hispanic white adults | 0.345554 |
| common chronic condition | 0.410985 |
| chronic condition | 0.532834 |
| patients | 0.740268 |
| significant sex difference | 0.408741 |
| check boxes | 0.396954 |
| MCC | 0.503617 |
| chronic condition triad | 0.419448 |
| chronic conditions | 0.922406 |
| Medical Care Survey | 0.373175 |
| patient office visits | 0.45614 |
| unweighted visits | 0.431746 |
| public insurance box | 0.347339 |
| patient record forms | 0.390302 |
| hypertension | 0.377677 |
| public insurance | 0.476986 |
| age | 0.350783 |
| physician office visits | 0.74805 |
| medical office visits | 0.457885 |
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Conference Call November 27, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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Botulism'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 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Announcements: Arthritis Awareness Month - May 2015 |
May is Arthritis Awareness Month. Arthritis affects an estimated 52.5 million U. |
| CDC-recommended physical activity | 0.568282 |
| Scott DL | 0.418006 |
| arthritis patients | 0.683689 |
| Human Services | 0.487471 |
| WWE programs | 0.447131 |
| common comorbidity | 0.437879 |
| multiple chronic conditions | 0.533177 |
| physical activity measurement | 0.560268 |
| MMWR HTML versions | 0.500763 |
| U.S. Department | 0.485891 |
| 6-week walking program | 0.582569 |
| electronic PDF version | 0.500382 |
| disease-specific mortality | 0.416624 |
| Lui LY | 0.416742 |
| physical activity guidelines | 0.560327 |
| cardiovascular disease deaths | 0.527628 |
| Additional information | 0.417091 |
| Contact GPO | 0.425696 |
| Arthritis Rheumatol | 0.631802 |
| arthritis | 0.886907 |
| original paper copy | 0.494355 |
| Arthritis Rheum | 0.660244 |
| Physical activity participation | 0.549576 |
| recent report | 0.427215 |
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| hip osteoarthritis | 0.552265 |
| United States | 0.430037 |
| original MMWR paper | 0.508327 |
| U.S. Government Printing | 0.504672 |
| Bearne LM | 0.42728 |
| Arthritis Awareness | 0.703534 |
| Dunlop DD | 0.420965 |
| arthritis symptoms | 0.681948 |
| Arthritis Care Res | 0.721057 |
| physical function | 0.555734 |
| Arthritis Foundation | 0.738824 |
| osteoarthritis initiative | 0.437907 |
| Population-based cohort study | 0.510734 |
| Skin Diseases | 0.416688 |
| U.S. adults | 0.455705 |
| moderate activity | 0.4535 |
| joint pain | 0.430926 |
| inner-city adults | 0.42813 |
| physical activity | 0.935915 |
| HHS physical activity | 0.599629 |
| Clin Rheumatol | 0.422686 |
| et al | 0.520074 |
| preferred exercise | 0.419748 |
| Shreffler JH | 0.426979 |
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CDC Grand Rounds: Prevention and Control of SkinCancer |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| skin cancer risk | 0.494204 |
| skin cancer | 0.955926 |
| Sun Safety Curriculum | 0.420823 |
| SunWise Skin Cancer | 0.471482 |
| skin cancer prevention | 0.668772 |
| melanoma cases | 0.493459 |
| Melanoma Moon Shot | 0.448588 |
| United States report | 0.422661 |
| MD Anderson | 0.524178 |
| skin cancers | 0.485415 |
| public school students | 0.484892 |
| free sunscreen dispensers | 0.485442 |
| UV Index.†Effective | 0.431439 |
| indoor tanning devices | 0.511597 |
| Prevent Skin Cancer | 0.472026 |
| UV exposure signature | 0.448199 |
| indoor tanning beds | 0.420584 |
| melanoma | 0.494532 |
| Texas MD Anderson | 0.476033 |
| topical sunscreen product | 0.426259 |
| sun protection | 0.836041 |
| persons | 0.426461 |
| individual sun protection | 0.456219 |
| newly diagnosed melanoma | 0.449102 |
| sun protection messages | 0.454298 |
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| basal cell carcinoma | 0.731826 |
| genetic risk factors | 0.499829 |
| important public health | 0.426847 |
| United States | 0.637701 |
| important sun protection | 0.456424 |
| Anderson Cancer Center | 0.501299 |
| UV-related skin damage | 0.421916 |
| natural skin color | 0.455435 |
| melanoma incidence | 0.425325 |
| public health | 0.497101 |
| UV-emitting indoor tanning | 0.437287 |
| school students | 0.502905 |
| CDC Grand Rounds | 0.48995 |
| MD Anderson Cancer | 0.502038 |
| over-the-counter sunscreen products | 0.427971 |
| central cancer registries* | 0.440389 |
| comprehensive skin cancer | 0.463676 |
| intentional UV exposures | 0.431467 |
| indoor tanning | 0.665757 |
| sun safety practices | 0.423683 |
| melanoma cancer genes | 0.483597 |
| new melanoma cases | 0.481121 |
| UV exposure | 0.616775 |
| public health science | 0.442093 |
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Progress Toward Global Eradication of Dracunculiasis-January 2015-June 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| water sources | 0.258214 |
| indigenous dracunculiasis | 0.26326 |
| Chad | 0.252691 |
| human cases | 0.209115 |
| D. medinensis | 0.280082 |
| guinea worm eradication | 0.730048 |
| dracunculiasis cases | 0.349706 |
| Worm Eradication Program | 0.655154 |
| Guinea worm infections | 0.241487 |
| global dracunculiasis eradication | 0.468476 |
| Carter Center | 0.310395 |
| dracunculiasis | 0.912009 |
| guinea worm | 0.754008 |
| drinking water | 0.42012 |
| dracunculiasis elimination | 0.274773 |
| dracunculiasis eradication program | 0.391514 |
| total reported cases | 0.237493 |
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| cases | 0.615931 |
| World Health Organization | 0.200082 |
| South Sudan | 0.736342 |
| villages | 0.288862 |
| infected dog | 0.311738 |
| civil unrest | 0.288369 |
| endemic disease | 0.231979 |
| dracunculiasis worldwide | 0.279896 |
| reported indigenous†cases | 0.268039 |
| Gog district | 0.224886 |
| cash reward | 0.354368 |
| World Health Assembly | 0.316225 |
| Guinea worms | 0.263541 |
| dracunculiasis eradication | 0.498919 |
| infected dogs | 0.336036 |
| endemic dracunculiasis | 0.52562 |
| Guinea worm disease | 0.469745 |
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