| 2127 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Towards Universal Access to Diagnosis and Treatment of Multidrug-Resistant and Extensively Drug-Resistant Tuberculosis: WHO Progress Report 2011 |
Back to EBR Search. |
| site map | 0.656628 |
| S.W. | 0.43857 |
| Federal Government Web | 0.913585 |
| Health | 0.439347 |
| Independence Avenue | 0.772157 |
|
| Human Services | 0.669767 |
| page | 0.448213 |
| search box | 0.677124 |
| Washington | 0.438398 |
|
CLICK HERE |
| 2361 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Reviews of evidence regarding interventions to reduce tobacco use and exposure to environmental tobacco smoke. (Community Guide Recommendation) |
Back to EBR Search. |
| site map | 0.656628 |
| S.W. | 0.43857 |
| Federal Government Web | 0.913585 |
| Health | 0.439347 |
| Independence Avenue | 0.772157 |
|
| Human Services | 0.669767 |
| page | 0.448213 |
| search box | 0.677124 |
| Washington | 0.438398 |
|
CLICK HERE |
| 2564 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Reducing Binge Drinking: New Mexico's Driving While Intoxicated Prevention Campaign |
In this Who's Leading the Leading Health Indicators? story, we looked at how the New Mexico Department of Health implemented a prevention campaign against binge drinking and alcohol-impaired driving among adults in New Mexico. |
| sobriety checkpoints | 0.503129 |
| binge drinkers | 0.510771 |
| liquor license revocations | 0.515225 |
| sound health policy | 0.498075 |
| binge drinking | 0.692981 |
| alcohol-impaired motor vehicle | 0.510599 |
| recent binge drinking | 0.586885 |
| over-service violations | 0.508827 |
| task force | 0.549031 |
| health services systems | 0.502319 |
| binge drink occasion | 0.635541 |
| DWI law enforcement | 0.577029 |
| evidence-based strategies | 0.50265 |
| control law enforcement | 0.506536 |
| alcohol-impaired driving | 0.570225 |
| New Mexico counties | 0.545122 |
| CDC-funded alcohol epidemiologist | 0.501049 |
| percent decrease | 0.561543 |
| public health functions | 0.500564 |
| blood alcohol content | 0.510976 |
| Public Health Grand | 0.569058 |
| binge drinking intensity | 0.655278 |
| comprehensive media campaign | 0.495505 |
| state liquor control | 0.523901 |
|
| licensed premises | 0.501568 |
| liquor control officers | 0.516791 |
| legal blood alcohol | 0.510818 |
| Vital Signs | 0.48877 |
| United States | 0.48217 |
| safety net services | 0.489329 |
| beverage control agency | 0.494241 |
| one-year period | 0.541362 |
| excessive alcohol | 0.502655 |
| major components—reducing alcohol | 0.521915 |
| CDC Public Health | 0.501812 |
| excessive drinking | 0.484764 |
| illegal sales | 0.490113 |
| multi-agency effort | 0.503015 |
| liquor control regulations | 0.611333 |
| New Mexico law | 0.561759 |
| Services Task Force | 0.494208 |
| alcohol-related motor vehicle | 0.496735 |
| New Mexico adults | 0.556599 |
| New Mexico | 0.903953 |
| CDC Vital Signs | 0.486286 |
| alcohol beverage control | 0.587078 |
| Town Hall Teleconference. | 0.485706 |
| excessive alcohol consumption | 0.502274 |
|
CLICK HERE |
| 14663 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Strategies To Prevent Obesity and Other Chronic Diseases: The CDC Guide to Strategies To Increase the Consumption of Fruits and Vegetables |
null |
| Centers | 0.446438 |
| classification scheme | 0.670383 |
| statistical significance | 0.666835 |
| evidence-based resources | 0.944061 |
| access | 0.450621 |
| environmental changes | 0.715368 |
| document | 0.492731 |
| Human Services | 0.669328 |
| availability | 0.449614 |
| expertise | 0.446575 |
| vegetables | 0.457283 |
| Prevention partners | 0.687288 |
| U.S. Department | 0.67015 |
| Disease Control | 0.682862 |
| fruits | 0.45727 |
| specific criteria | 0.665315 |
| magnitude | 0.467277 |
| internal validity | 0.714269 |
| Healthy People | 0.672444 |
| sample size | 0.655732 |
| external validity | 0.712571 |
| program examples | 0.67857 |
|
| policy | 0.450885 |
| knowledge | 0.44663 |
| effectiveness | 0.451103 |
| set | 0.442202 |
| strategies | 0.494269 |
| publication type | 0.655301 |
| meaningfulness | 0.496374 |
| key considerations | 0.691271 |
| rationale | 0.466332 |
| quality | 0.442796 |
| best available evidence | 0.949589 |
| subject matter | 0.672824 |
| action steps | 0.68143 |
| publication status | 0.655778 |
| potential biases | 0.695536 |
| potential confounders | 0.653106 |
| additional effect | 0.760785 |
| effect size | 0.75947 |
| strategy | 0.445381 |
| experts | 0.443619 |
| dimensions | 0.449508 |
|
CLICK HERE |
| 14742 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Increasing Cancer Screening: Reducing Client Out-of-Pocket Costs Updated recommendations for client- and provider-oriented interventions to increase breast, cervical, and colorectal cancer screening. |
null |
| site map | 0.656628 |
| S.W. | 0.43857 |
| Federal Government Web | 0.913585 |
| Health | 0.439347 |
| Independence Avenue | 0.772157 |
|
| Human Services | 0.669767 |
| page | 0.448213 |
| search box | 0.677124 |
| Washington | 0.438398 |
|
CLICK HERE |
| 14810 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Improving adolescent health through interventions targeted to parents and other caregivers: a recommendation. (Community Guide Recommendation) |
null |
| CDC/MMWR Topic Area | 0.230225 |
| study | 0.25201 |
| U.S. Preventive Services | 0.345633 |
| evidence-based resources | 0.297886 |
| cohort study | 0.251874 |
| CDC/NCIPC Topic Area | 0.230669 |
| United States Preventive | 0.349368 |
| USDA/CNPP Topic Area | 0.231203 |
| experimental study | 0.247298 |
| University College London | 0.210702 |
| Human Services | 0.205714 |
| Healthy People Topic | 0.204102 |
| Abdominal Aortic Aneurysm | 0.332879 |
| Substance Abuse | 0.326485 |
| IOM Topic Area | 0.252408 |
| intervention evaluations | 0.242569 |
| Topic Areas | 0.256011 |
| U.S. Department | 0.201709 |
| University College Medical | 0.210847 |
| Alcohol – Excessive | 0.281335 |
|
| Healthy People | 0.358741 |
| Preventive Services Task | 0.910352 |
| Leading Health Indicators | 0.208901 |
| Excessive Consumption | 0.289285 |
| Older Adults | 0.242493 |
| University College | 0.21194 |
| Services Task Force | 0.895127 |
| Gynecology Topic Area | 0.217578 |
| systematic review | 0.832289 |
| Randomized Controlled Trial | 0.337954 |
| Violence Prevention | 0.27458 |
| Behavioral Counseling Interventions | 0.20513 |
| States Preventive Services | 0.348373 |
| non-systematic review | 0.329671 |
| Adolescent Health | 0.215494 |
| Task Force Topic | 0.903226 |
| College Medical School | 0.212283 |
| Force Topic Area | 0.878239 |
| Community Preventive Services | 0.464296 |
|
CLICK HERE |
| 14842 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Universally Recommended Vaccinations: Immunization Information Systems. (Community Guide Recommendation) |
null |
| Task Force | 0.631585 |
| evidence-based resources | 0.804516 |
| Human Services | 0.597154 |
| vaccine management | 0.614642 |
| provider reminders | 0.62458 |
| U.S. Department | 0.59778 |
| vaccination coverage | 0.887365 |
| specific criteria | 0.591136 |
| clinicians | 0.440894 |
| vaccination rates | 0.815787 |
| sample size | 0.592084 |
| external validity | 0.623544 |
| disparities | 0.45756 |
| client vaccination status | 0.962382 |
| effective interventions | 0.625638 |
| subject matter | 0.595942 |
| persons | 0.432255 |
| IIS | 0.583882 |
| invalid dose administration | 0.823652 |
| schools | 0.43375 |
| potential confounders | 0.590451 |
| outbreaks | 0.445456 |
| effect size | 0.661736 |
| classification scheme | 0.595187 |
|
| statistical significance | 0.592874 |
| vaccine-preventable disease | 0.644636 |
| client reminder | 0.624186 |
| recall systems | 0.625143 |
| immunization information systems | 0.880597 |
| health departments | 0.61266 |
| magnitude | 0.445412 |
| decisions | 0.433104 |
| internal validity | 0.628282 |
| Healthy People | 0.595448 |
| accountability | 0.441422 |
| capabilities | 0.434393 |
| geopolitical area | 0.626624 |
| publication type | 0.590734 |
| meaningfulness | 0.4669 |
| provider assessment | 0.615409 |
| vaccination opportunities | 0.776178 |
| publication status | 0.590911 |
| potential biases | 0.618211 |
| public health responses | 0.799316 |
| Community Preventive Services | 0.838222 |
| additional effect | 0.659935 |
| computerized databases | 0.607402 |
| providers | 0.432287 |
|
CLICK HERE |
| 15071 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Aspirin for the Prevention of Cardiovascular Disease: Preventive Medication – Men Younger Than Age 45 |
null |
| classification scheme | 0.652231 |
| statistical significance | 0.648867 |
| evidence-based resources | 0.950144 |
| Force | 0.444158 |
| Human Services | 0.870233 |
| Washington | 0.439115 |
| U.S. Department | 0.87174 |
| number | 0.440779 |
| myocardial infarction prevention | 0.979116 |
| S.W. | 0.439167 |
| aspirin | 0.5186 |
| studies | 0.440727 |
| specific criteria | 0.660502 |
| magnitude | 0.462438 |
| internal validity | 0.694517 |
| Healthy People | 0.960736 |
| Preventive Medication | 0.753357 |
| sample size | 0.639946 |
|
| Preventive Services Task | 0.953208 |
| external validity | 0.692334 |
| Cardiovascular Disease | 0.708858 |
| set | 0.441217 |
| Federal Government Web | 0.856208 |
| Independence Avenue | 0.653601 |
| publication type | 0.652181 |
| meaningfulness | 0.490138 |
| quality | 0.439709 |
| subject matter | 0.667815 |
| site | 0.439586 |
| publication status | 0.652658 |
| potential biases | 0.677258 |
| potential confounders | 0.637446 |
| additional effect | 0.73898 |
| effect size | 0.738795 |
| experts | 0.442596 |
| age | 0.487546 |
|
CLICK HERE |
| 15168 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Community Air Risk Evaluation (CARE) improves health by identifying sources of air pollution in California's Bay Area |
In this Who's Leading the Leading Health Indicators? story, we looked at how the Bay Area Air Quality Management District improved air quality within the San Francisco Bay Area. |
| air quality.2 | 0.417118 |
| impacted communities | 0.335509 |
| California Air Resources | 0.499419 |
| Oakland Army Base | 0.519738 |
| health impact | 0.362413 |
| premature death.1 Diesel | 0.496287 |
| diesel emissions | 0.493157 |
| marine vessels | 0.32064 |
| older trucks | 0.346451 |
| Leading Health Indicator | 0.446254 |
| diesel engines | 0.478594 |
| health problems | 0.377392 |
| Bay Area | 0.68797 |
| Bay Area Air | 0.552301 |
| drayage trucks | 0.397378 |
| control agency | 0.33941 |
| major freeways | 0.330946 |
| West Oakland | 0.767302 |
| local inspectors | 0.318965 |
| health impacts | 0.360979 |
| DPM | 0.408236 |
| community members | 0.320499 |
| poor air quality | 0.699185 |
| Community Air Risk | 0.520314 |
|
| stringent emissions standards | 0.485487 |
| emissions factors | 0.363888 |
| Francisco Bay Area | 0.475663 |
| negative health outcomes | 0.430507 |
| particulate matter | 0.337932 |
| intermodal rail yards | 0.419382 |
| drayage truck emissions | 0.528534 |
| Air District | 0.930721 |
| complex mixture | 0.34036 |
| primary sources | 0.327757 |
| cardiovascular disease | 0.33887 |
| potential cancer risk | 0.433873 |
| West Oakland residents | 0.529947 |
| stationary sources | 0.336824 |
| highest rates | 0.319671 |
| drayage truck rule | 0.461019 |
| toxic air contaminant | 0.533025 |
| demonstrated impact | 0.327401 |
| regional air pollution | 0.58404 |
| older engines | 0.318466 |
| West Oakland community | 0.535812 |
| exhaust emissions | 0.374818 |
| Union Pacific rail | 0.432185 |
| air pollution | 0.699716 |
|
CLICK HERE |
| 15211 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Cancer |
null |
| skin cancer | 0.389839 |
| health care provider | 0.428839 |
| Human Services | 0.337144 |
| cancer deaths | 0.578101 |
| breast cancer deaths | 0.383372 |
| U.S. Department | 0.337172 |
| number | 0.326414 |
| invasive colorectal cancer | 0.372102 |
| disadvantages | 0.317487 |
| colorectal cancer deaths | 0.381394 |
| cervix cancer deaths | 0.383096 |
| 50 States | 0.335547 |
| PSA | 0.317653 |
| artificial sources | 0.403836 |
| colorectal cancer | 0.412196 |
| melanoma cancer deaths | 0.380461 |
| Federal Government Web | 0.366695 |
| adolescents | 0.316127 |
| invasive uterine cancer | 0.370584 |
| Baseline | 0.748549 |
| cervical cancer | 0.340446 |
| ultraviolet light | 0.40506 |
| standard population | 0.972878 |
| reportable cancers | 0.385039 |
| new cases | 0.416897 |
|
| oropharyngeal cancer deaths | 0.382611 |
| population-based registries | 0.38488 |
| C-20.4 Reduce | 0.333735 |
| proportion | 0.330161 |
| prostate cancer deaths | 0.378842 |
| late-stage breast cancer | 0.370952 |
| adults | 0.358048 |
| percent | 0.498341 |
| case information | 0.381372 |
| high-priority health issues | 0.368526 |
| Pap tests | 0.338203 |
| Healthy People | 0.338524 |
| recent guidelines | 0.411123 |
| females | 0.408951 |
| Independence Avenue | 0.335707 |
| protective measures | 0.404294 |
| breast cancer | 0.410101 |
| Health Indicators | 0.335808 |
| lung cancer deaths | 0.387393 |
| prostate cancer | 0.405129 |
| advantages | 0.316568 |
| cancer | 0.600762 |
| risk | 0.324596 |
| age | 0.599917 |
|
CLICK HERE |