| 2404 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Translating evidence into policy: lessons learned from the case of lowering the legal blood alcohol limit for drivers. (Community Guide Recommendation) |
Back to EBR Search. |
| BAC laws | 0.694988 |
| motor | 0.441845 |
| classification scheme | 0.627315 |
| statistical significance | 0.6242 |
| evidence-based resources | 0.898252 |
| Force | 0.442241 |
| Human Services | 0.824849 |
| vehicle crash fatalities | 0.937355 |
| Washington | 0.434565 |
| U.S. Department | 0.835842 |
| number | 0.435998 |
| S.W. | 0.43461 |
| blood alcohol concentration | 0.862062 |
| studies | 0.435954 |
| specific criteria | 0.634762 |
| magnitude | 0.457484 |
| internal validity | 0.672602 |
| Healthy People | 0.640532 |
| sample size | 0.6187 |
| Preventive Services Task | 0.91581 |
|
| external validity | 0.670347 |
| effectiveness | 0.447499 |
| strong evidence | 0.662634 |
| set | 0.436378 |
| Federal Government Web | 0.811985 |
| publication type | 0.629722 |
| Independence Avenue | 0.629132 |
| meaningfulness | 0.484957 |
| quality | 0.435059 |
| subject matter | 0.641094 |
| site | 0.434974 |
| driver | 0.438766 |
| publication status | 0.630149 |
| potential biases | 0.655754 |
| potential confounders | 0.616463 |
| additional effect | 0.718965 |
| effect size | 0.721352 |
| experts | 0.437585 |
| Community | 0.44234 |
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| 14669 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (Macronutrients) |
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| Acceptable Macronutrient Distribution | 0.490854 |
| evidence-based resources | 0.480606 |
| dietary energy | 0.56879 |
| Scientific Evaluation | 0.395934 |
| Subcommittee | 0.347638 |
| Human Services | 0.388726 |
| U.S. Department | 0.388913 |
| dietary fat | 0.547742 |
| specific criteria | 0.385913 |
| Dietary Reference Intakes | 0.907831 |
| sample size | 0.388115 |
| external validity | 0.39883 |
| obesity | 0.343094 |
| National Academies Press | 0.484475 |
| subject matter | 0.387297 |
| potential confounders | 0.3875 |
| macronutrients | 0.37784 |
| healthy individuals | 0.410976 |
| dietary fiber | 0.714579 |
| effect size | 0.413852 |
| populations | 0.317708 |
| classification scheme | 0.388532 |
| statistical significance | 0.387625 |
| Fatty Acids | 0.409117 |
|
| United States | 0.408294 |
| Nutrition Board | 0.395583 |
| dietary carbohydrate | 0.561319 |
| Upper Reference Levels | 0.483204 |
| Nutrients | 0.319148 |
| definition | 0.332975 |
| magnitude | 0.319505 |
| internal validity | 0.401629 |
| Healthy People | 0.391476 |
| reference values | 0.41395 |
| energy sources | 0.403488 |
| Standing Committee | 0.39609 |
| set | 0.330513 |
| chronic diseases | 0.398419 |
| publication type | 0.386473 |
| meaningfulness | 0.328497 |
| Amino Acids | 0.407667 |
| Cholesterol | 0.318341 |
| physical activity | 0.398656 |
| Panel | 0.328125 |
| National Academies | 0.497554 |
| publication status | 0.386584 |
| potential biases | 0.398292 |
| report | 0.332784 |
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| 14714 |
Office of Disease Prevention and Health Promotion, Healthy People |
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A CDC Compendium of Effective Fall Interventions: What Works for Community-Dwelling Older Adults. 2nd ed. |
null |
| Centers | 0.567344 |
| classification scheme | 0.695454 |
| statistical significance | 0.693251 |
| evidence-based resources | 0.920429 |
| public health practitioners | 0.944685 |
| Human Services | 0.876272 |
| multifaceted interventions | 0.816755 |
| Washington | 0.531376 |
| U.S. Department | 0.885634 |
| CDC Compendium | 0.745731 |
| number | 0.531844 |
| falls | 0.538513 |
| Disease Control | 0.903486 |
| S.W. | 0.531408 |
| Atlanta | 0.534103 |
| studies | 0.531812 |
| specific criteria | 0.699904 |
| magnitude | 0.544912 |
| Division | 0.53526 |
| internal validity | 0.725965 |
| Healthy People | 0.702941 |
| sample size | 0.691737 |
| external validity | 0.721291 |
| National Center | 0.721614 |
|
| set | 0.532111 |
| Federal Government Web | 0.865464 |
| publication type | 0.698711 |
| Independence Avenue | 0.696734 |
| meaningfulness | 0.565407 |
| Unintentional Injury Prevention | 0.935303 |
| Edition | 0.53454 |
| Effective Fall Interventions | 0.966553 |
| providers detailed information | 0.94605 |
| subject matter | 0.703429 |
| site | 0.531667 |
| Community-Dwelling Older Adults | 0.907361 |
| publication status | 0.699004 |
| potential biases | 0.716524 |
| potential confounders | 0.690189 |
| older adults | 0.950175 |
| additional effect | 0.75496 |
| http://www.cdc.gov/HomeandRecreationalSafety/pdf/CDC_Falls_Compendium_lowres.pdf | 0.535943 |
| Stevens JA | 0.73895 |
| Internet | 0.534491 |
| effect size | 0.755699 |
| home modification | 0.723198 |
| experts | 0.532853 |
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| 14798 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Behavioral & Social Approaches to Increase Physical Activity: Individually-Adapted Health Behavior Change Programs—Recommendations to increase physical activity in communities. (Community Guide Recom |
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 |
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| 14999 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Genetic Risk Assessment and BRCA Mutation Testing for Breast and Ovarian Cancer Susceptibility – Women Whose Family History Is Not Associated with an Increased Risk |
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| Task Force | 0.698169 |
| evidence-based resources | 0.881089 |
| Disease | 0.530846 |
| Human Services | 0.843243 |
| Healthcare Providers | 0.691919 |
| Secondary Prevention | 0.68742 |
| BRCA1 | 0.531648 |
| U.S. Department | 0.844048 |
| Incidence | 0.53613 |
| Ovarian Cancer Susceptibility | 0.926344 |
| routine genetic counseling | 0.876344 |
| Development | 0.530653 |
| specific criteria | 0.680458 |
| BRCA testing | 0.701751 |
| sample size | 0.674743 |
| external validity | 0.699087 |
| Primary Prevention | 0.692786 |
| Federal Government Web | 0.83001 |
| Mortality | 0.538813 |
| Policymakers | 0.54535 |
| subject matter | 0.684262 |
| potential confounders | 0.673416 |
| effect size | 0.792256 |
| women | 0.564031 |
|
| classification scheme | 0.67575 |
| statistical significance | 0.673816 |
| U.S. Preventive Services | 0.886539 |
| Research | 0.530681 |
| potentially harmful mutations | 0.889663 |
| Clinical Practice | 0.692825 |
| Effect Health | 0.829198 |
| BRCA Mutation Testing | 0.912179 |
| magnitude | 0.539656 |
| internal validity | 0.704327 |
| Healthy People | 0.895338 |
| BRCA2 genes | 0.699932 |
| Condition | 0.530818 |
| Households | 0.541645 |
| publication type | 0.681642 |
| Independence Avenue | 0.67554 |
| Genetic Risk Assessment | 0.915822 |
| meaningfulness | 0.558507 |
| Families | 0.530447 |
| Effect Behavioral Change | 0.999499 |
| Morbidity | 0.548057 |
| publication status | 0.681895 |
| family history | 0.900606 |
| potential biases | 0.696667 |
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| 15006 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Communicating in the First Hours: First Hours Resources |
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 |
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| 15035 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Chlamydial and Gonorrhea: Screening – Women (Clinical Guide Recommendation) |
null |
| sexually active women | 0.971293 |
| classification scheme | 0.659603 |
| statistical significance | 0.655907 |
| screening | 0.447505 |
| evidence-based resources | 0.971133 |
| Force | 0.447919 |
| Human Services | 0.87975 |
| U.S. Department | 0.881401 |
| number | 0.441454 |
| S.W. | 0.439379 |
| chlamydial infection | 0.771121 |
| studies | 0.441398 |
| specific criteria | 0.669292 |
| magnitude | 0.466248 |
| internal validity | 0.707554 |
| Healthy People | 0.677561 |
| sample size | 0.645669 |
| external validity | 0.706419 |
| set | 0.441932 |
|
| Prevention Services Task | 0.962369 |
| Federal Government Web | 0.86427 |
| Independence Avenue | 0.660738 |
| publication type | 0.659675 |
| meaningfulness | 0.496403 |
| control | 0.439545 |
| older women | 0.697646 |
| quality | 0.440205 |
| subject matter | 0.677976 |
| site | 0.439833 |
| publication status | 0.660201 |
| potential biases | 0.687475 |
| potential confounders | 0.642918 |
| additional effect | 0.758798 |
| ages | 0.44758 |
| risk | 0.44721 |
| effect size | 0.759564 |
| experts | 0.443523 |
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| 15119 |
Office of Disease Prevention and Health Promotion, Healthy People |
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The Bronx Knows Raises Awareness for HIV Testing and Care |
In this Who's Leading the Leading Health Indicators? story, we looked at how the New York City Department of Health and Mental Hygiene and partners implemented The Bronx Knows to to raise awareness for HIV testing, make HIV testing more accessible, promote testing as a routine part of medical care, and improve linkage of people diagnosed with HIV to appropriate medical care. |
| endorsement | 0.422406 |
| data | 0.419028 |
| NYC’s population | 0.524563 |
| Human Services | 0.500992 |
| inception | 0.420613 |
| recommendation | 0.418144 |
| 1New York City | 0.584668 |
| program | 0.41847 |
| U.S. Department | 0.496446 |
| New York City | 0.781029 |
| HIV infections | 0.862974 |
| HIV-related deaths | 0.519449 |
| academia | 0.418343 |
| awareness | 0.418198 |
| HIV status | 0.708012 |
| U.S. Government | 0.498725 |
| HIV rate | 0.676544 |
| Bronx Knows | 0.924411 |
| cities | 0.419376 |
| adolescents | 0.420779 |
| web site | 0.501983 |
| community-based organizations | 0.605394 |
| Disclaimer | 0.422709 |
| community engagement | 0.502427 |
| Bronx Knows partners | 0.678369 |
|
| likelihood | 0.4229 |
| consistent public health | 0.606536 |
| Bronx residents | 0.564986 |
| Bronx Knows leverages | 0.700688 |
| community ownership | 0.5 |
| treatment | 0.419683 |
| 1,148,200 | 0.421375 |
| United States | 0.524163 |
| HIV epidemic | 0.685042 |
| adults | 0.421369 |
| linkage | 0.449035 |
| HIV tests | 0.653322 |
| personal health priority | 0.632542 |
| times | 0.419108 |
| faith-based organizations | 0.507954 |
| newly diagnosed HIV | 0.92463 |
| hiv testing | 0.847745 |
| newly diagnosed people | 0.610596 |
| medical care | 0.77891 |
| community health centers | 0.602407 |
| York City Department | 0.758088 |
| National HIV Testing | 0.753668 |
| HIV | 0.989354 |
| specific product | 0.501859 |
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| 15159 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Preparing for a Better Tomorrow – A CDC Preventive Health and Health Services Block Grant Success Story |
In this CDC Preventive Health and Health Services Block Grant success story, we looked at how the Alabama Department of Public Health partnered with Auburn University at Montgomery to create a department-wide workforce development program for its staff. |
| environmental staff | 0.462637 |
| endorsement | 0.33541 |
| Government Web site | 0.581923 |
| ADPH | 0.412109 |
| Alabamians | 0.347997 |
| Human Services | 0.557567 |
| department employees | 0.511998 |
| natural disasters | 0.45975 |
| American Indian tribes | 0.577803 |
| prevention efforts | 0.446713 |
| loan repayment help | 0.623831 |
| Auburn University | 0.4531 |
| U.S. Department | 0.564026 |
| Traditional recruiting | 0.473 |
| epidemiologists | 0.34317 |
| talent pool | 0.46756 |
| key leadership positions | 0.594107 |
| Key insights | 0.475887 |
| Disease Control | 0.450681 |
| Public Health workforce | 0.772009 |
| public health threats | 0.718068 |
| Department studies | 0.497558 |
| state health departments | 0.617268 |
| U.S. Government | 0.459075 |
|
| public health professionals | 0.722962 |
| Population Health | 0.49267 |
| certain jobs | 0.460617 |
| Preventive Health | 0.502115 |
| public health | 0.982388 |
| Greater numbers | 0.484827 |
| 50 states | 0.452479 |
| one-third | 0.342055 |
| laboratory technologists | 0.464929 |
| microbiologists | 0.337293 |
| employee workloads | 0.478727 |
| Independence Avenue | 0.445838 |
| public health emergencies | 0.666078 |
| specialized knowledge | 0.458426 |
| Human Resources | 0.4733 |
| Block Grant | 0.441854 |
| Disclaimer | 0.33597 |
| critical job categories | 0.599778 |
| baby boomers | 0.47536 |
| pandemic flus | 0.489412 |
| training classes | 0.472599 |
| specific product | 0.454996 |
| department-wide workforce development | 0.64674 |
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| 15196 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Injury and Violence Prevention |
null |
| nonfatal spinal cord | 0.377493 |
| trauma care | 0.365181 |
| data source | 0.397344 |
| department data systems | 0.40258 |
| nonfatal traumatic brain | 0.432962 |
| emergency department data | 0.401839 |
| States | 0.437782 |
| unintentional falls | 0.365164 |
| school property | 0.362674 |
| undetermined poisonings | 0.362344 |
| external-cause-of-injury codes | 0.428733 |
| spinal cord injuries | 0.413437 |
| deaths | 0.544656 |
| injury-related visits | 0.360629 |
| appropriate protective gear | 0.39914 |
| violent deaths | 0.369483 |
| unintentional suffocation | 0.398604 |
| Baseline | 0.772044 |
| emergency department | 0.472848 |
| medical examiner reports | 0.401294 |
| intentional self-harm injuries | 0.360794 |
| trauma center coverage | 0.417646 |
| Columbia | 0.364507 |
| standard population | 0.970717 |
| child fatality review | 0.412542 |
|
| nonfatal child maltreatment | 0.371749 |
| District | 0.364517 |
| 100,000 | 0.383242 |
| statewide emergency department | 0.402564 |
| percent | 0.521142 |
| continental United States | 0.418515 |
| driver licensing | 0.363893 |
| visits | 0.363497 |
| high-priority health issues | 0.423153 |
| Healthy People | 0.368581 |
| nonfatal unintentional injuries | 0.393656 |
| hospital discharge data | 0.420823 |
| discharge data systems | 0.417277 |
| injury-related discharges | 0.372059 |
| Health Indicators | 0.364843 |
| traumatic brain injuries | 0.468956 |
| injury response activities | 0.420884 |
| fatality review team | 0.416514 |
| nonfatal physical assault | 0.368436 |
| revision history | 0.599946 |
| vehicle traffic-related deaths | 0.379498 |
| data systems | 0.418058 |
| nonfatal injuries | 0.410226 |
| statewide hospital discharge | 0.421623 |
|
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