| 951 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
| 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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| 4592 |
Centers for Disease Control and Prevention |
Html |
en |
Interim Guidance for Airlines Regarding Flight Crews Arriving from Domestic and International Areas Affected by Swine Influenza |
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| CDC | 0.547289 |
| ill person | 0.986876 |
| CDC Quarantine Station | 0.531387 |
| ILI | 0.540525 |
| body aches | 0.504063 |
| Commercial air travel | 0.507075 |
| Quarantine Duty Officer | 0.477305 |
| stuffy nose | 0.504888 |
| face mask | 0.629408 |
| necessary infection control | 0.461715 |
| personal protective equipment | 0.473374 |
| ill crew member | 0.570451 |
| medical assistance | 0.488166 |
| Practice good hand | 0.485335 |
| plastic bag | 0.490462 |
| CDC’s Guidance | 0.463608 |
| flight deck crew | 0.535864 |
| influenza virus | 0.462753 |
| hand hygiene | 0.481105 |
| actual measured temperature | 0.475458 |
| commercial aircraft focus | 0.502603 |
| influenza | 0.637177 |
| chronic health conditions | 0.464511 |
| commercial airline industry | 0.517092 |
|
| alcohol-based hand rub | 0.650669 |
| in-flight medical consultant | 0.48087 |
| fever-reducing medications | 0.592582 |
| close contact environments | 0.497698 |
| 2009-10 influenza season | 0.593591 |
| crew members | 0.829884 |
| airline crew members | 0.511097 |
| state solid waste | 0.478037 |
| individual company policy | 0.482364 |
| sore throat | 0.621752 |
| personal protective measures | 0.479887 |
| cabin crew members | 0.705337 |
| flight safety | 0.491791 |
| H1N1 influenza | 0.487418 |
| Routine hand hygiene | 0.466373 |
| flight deck | 0.61844 |
| Flight crew | 0.452541 |
| ill passenger | 0.45503 |
| contaminated environmental surfaces | 0.507754 |
| personal protective items | 0.463942 |
| United States | 0.4882 |
| occupational health providers | 0.462026 |
| sturdy plastic bag | 0.472105 |
| aircraft air conditioning | 0.472238 |
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| 4896 |
Centers for Disease Control and Prevention |
Html |
en |
2010 Haiti Cholera Outbreak: CDC Responds to Cholera Outbreak in Haiti |
CDC - Global Health |
| 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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| 6532 |
Centers for Disease Control and Prevention |
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Update: Influenza A (H3N2)v Transmission and Guidelines - Five States, 2011 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| swine influenza virus | 0.745309 |
| variant influenza viruses | 0.657338 |
| U.S. Swine | 0.511702 |
| swine industry | 0.506231 |
| United States | 0.539645 |
| variant influenza infection | 0.59159 |
| swine workers | 0.501804 |
| swine exposures | 0.50019 |
| National Influenza Centers | 0.58356 |
| swine herds | 0.501952 |
| swine exposure | 0.542043 |
| Influenza Virus Team | 0.632703 |
| U.S. Department | 0.494899 |
| different influenza viruses | 0.65515 |
| seasonal influenza viruses | 0.634534 |
| swine-origin influenza viruses | 0.631649 |
| pandemic influenza | 0.609881 |
| Nonhuman influenza virus | 0.609242 |
| West Virginia | 0.70858 |
| variant influenza virus | 0.718205 |
| influenza virus infection | 0.667931 |
| novel influenza viruses | 0.632047 |
| influenza antiviral medications | 0.616801 |
|
| CDC Influenza Division | 0.609237 |
| presumptive influenza | 0.562474 |
| influenza illness | 0.586931 |
| seasonal influenza vaccine | 0.576691 |
| human-to-human transmission | 0.541482 |
| public health | 0.608821 |
| West Virginia Office | 0.490732 |
| influenza A virus | 0.623753 |
| World Health Organization | 0.495392 |
| cases | 0.491721 |
| interspecies influenza transmission | 0.620863 |
| influenza virus infections | 0.661029 |
| swine populations | 0.492688 |
| human seasonal influenza | 0.637704 |
| neuraminidase gene segments | 0.487642 |
| new influenza virus | 0.631269 |
| human infections | 0.512935 |
| influenza surveillance | 0.600871 |
| influenza viruses | 0.754483 |
| state public health | 0.594622 |
| animal health | 0.506053 |
| influenza virus | 0.795679 |
| public health laboratories | 0.499358 |
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| 7243 |
Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0340 |
The objective of this study was to investigate changes since 2000 in the percentage of adults who reported receiving smoking cessation advice from their HCP and to examine correlates of receiving advice. |
| tobacco use cessation | 0.472545 |
| data | 0.467939 |
| Cancer Control Supplement | 0.616227 |
| relevant financial relationships | 0.556604 |
| AMA PRA credit | 0.458953 |
| AMA PRA | 0.520339 |
| Erica Frank | 0.480265 |
| smoking cessation rates | 0.533059 |
| NHIS survey response | 0.465317 |
| National Health Interview | 0.824118 |
| Preventing Chronic Disease | 0.458221 |
| current smokers | 0.510221 |
| health insurance type | 0.470827 |
| Disease Control | 0.564512 |
| smoking cigarettes | 0.477459 |
| CME activities | 0.457516 |
| Dr. Kruger | 0.465719 |
| smoking status | 0.479481 |
| CME activity | 0.491661 |
| health care providers | 0.506155 |
| Morb Mortal Wkly | 0.484435 |
| higher cessation rates | 0.488597 |
| Health Interview Survey | 0.816972 |
| British Columbia | 0.498731 |
|
| Jennifer Kahende | 0.477814 |
| cessation attempt rates | 0.490776 |
| Judy Kruger | 0.479371 |
| CME credit | 0.471463 |
| HCP advice | 0.5009 |
| HCP cessation advice | 0.552021 |
| physician-provided smoking cessation | 0.531964 |
| smoking cessation advice | 0.951871 |
| Public Health | 0.533783 |
| AMA PRA Category | 0.506597 |
| United States | 0.519618 |
| Journal-based CME activity | 0.481629 |
| MMWR Morb Mortal | 0.484439 |
| cigarette smoking | 0.498845 |
| community health promotion | 0.463515 |
| Mortal Wkly Rep | 0.481859 |
| journal CME activity | 0.481425 |
| Public Health Analyst | 0.493678 |
| care provider advice | 0.480485 |
| Continuing Medical Education | 0.468953 |
| physician advice | 0.495213 |
| annual National Health | 0.476075 |
| Lauren Shaw | 0.477161 |
| Public Health Service | 0.508779 |
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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 |
| unborn baby | 0.256333 |
| baby drinks | 0.247911 |
| drinking problem | 0.335629 |
| safe level | 0.258285 |
| kitchen area | 0.261468 |
| education resources | 0.255171 |
| latest information | 0.245773 |
| different users | 0.243273 |
| National Organization | 0.259368 |
| intellectual disabilities | 0.249949 |
| white wine | 0.254861 |
| drinking alcohol | 0.455341 |
| pregnant woman | 0.304477 |
| iPod Touch | 0.395953 |
| big deal | 0.26185 |
| FASD application | 0.28044 |
| health care providers | 0.578207 |
| FASDs | 0.457591 |
| Fetal Alcohol Syndrome | 0.521332 |
| wrong information | 0.263949 |
|
| 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 |
| play dates | 0.265093 |
| free materials | 0.252806 |
| healthy start | 0.237195 |
| amazing strengths | 0.271771 |
| special thanks | 0.259536 |
| fetal alcohol spectrum | 0.984651 |
| terrifying moment | 0.270419 |
| information | 0.264042 |
| mental disabilities | 0.250972 |
| new brand | 0.264196 |
| wide range | 0.251058 |
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| 8204 |
Centers for Disease Control and Prevention |
Html |
en |
Tourette Syndrome, Families, Bullying |
null |
| 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 |
|
| 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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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 |
|
| 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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| 10645 |
Centers for Disease Control and Prevention |
Html |
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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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CLICK HERE |
| 12550 |
Centers for Disease Control and Prevention |
Video |
en |
CDC Food Safety Training Promo |
Foodborne illness is a problem. Help address its environmental causes: Register today for CDC’s free e-Learning on Environmental Assessments of Foodborne Illness Outbreaks (http://www.cdc.gov/nceh/ehs/elearn/ea_fio/index.htm) about the role of environmental assessments in outbreak investigations. Practice interviewing food workers and other critical skills through interactive exercises.
Earn points toward a badge and a certificate (upon completion). Continuing education credits also available.
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://www.cdc.gov/nceh/ehs/eLearn/EA_FIO/video/FoodSafetyTrainingPromo.wmv |
|
| Safety Training Promo | 0.970857 |
|
CLICK HERE |