| 2161 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Effectiveness of Universal School-Based Programs To Prevent Violent and Aggressive Behavior:
A Systematic Review |
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 |
| 2360 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Recommendations 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 |
| 14651 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Ending the Tobacco Problem: A Blueprint for the Nation |
null |
| evidence-based resources | 0.691697 |
| half | 0.384917 |
| Tobacco Problem | 0.732298 |
| extraordinary growth | 0.536563 |
| findings | 0.336459 |
| Human Services | 0.51296 |
| mid-1960s | 0.367688 |
| state governments | 0.540095 |
| distinct parts | 0.542885 |
| U.S. Department | 0.5134 |
| subsequent reversal | 0.547063 |
| 20th century | 0.524805 |
| wake | 0.339441 |
| specific criteria | 0.507756 |
| sample size | 0.509051 |
| external validity | 0.53922 |
| struggle | 0.343824 |
| addictive properties | 0.533869 |
| recent trends | 0.517276 |
| development | 0.335384 |
| effective prevention | 0.541393 |
| history | 0.338112 |
| subject matter | 0.51135 |
| potential confounders | 0.507622 |
|
| effect size | 0.571008 |
| treatment interventions | 0.549929 |
| Nation | 0.341833 |
| classification scheme | 0.513883 |
| statistical significance | 0.511746 |
| nongovernmental tobacco control | 0.870028 |
| policy blueprint | 0.574576 |
| policies | 0.338907 |
| adoption | 0.338877 |
| magnitude | 0.348649 |
| internal validity | 0.544059 |
| Healthy People | 0.508212 |
| overview | 0.335427 |
| set | 0.37136 |
| nature | 0.338082 |
| publication type | 0.505316 |
| meaningfulness | 0.369657 |
| background information | 0.535546 |
| Surgeon General | 0.527299 |
| publication status | 0.505573 |
| potential biases | 0.534549 |
| new tobacco control | 0.903487 |
| report | 0.440504 |
| additional effect | 0.571962 |
|
CLICK HERE |
| 14919 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Recommendations for reducing excessive alcohol consumption and alcohol-related harms by limiting alcohol outlet density. (Community Guide Recommendation) |
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 |
| 15003 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Tenant-Based Rental Assistance Programs – The Social Environment |
null |
| Task Force | 0.754309 |
| classification scheme | 0.44607 |
| statistical significance | 0.442944 |
| evidence-based resources | 0.709245 |
| Guide | 0.240923 |
| assistance programs | 0.481872 |
| Human Services | 0.446599 |
| recommendation | 0.253684 |
| U.S. Department | 0.44688 |
| sufficient evidence | 0.510447 |
| outcomes | 0.25292 |
| adequate design | 0.48013 |
| property | 0.245852 |
| studies | 0.276897 |
| specific criteria | 0.4413 |
| magnitude | 0.259974 |
| internal validity | 0.486396 |
| Healthy People | 0.447466 |
| sample size | 0.435508 |
| Preventive Services Task | 0.798517 |
| external validity | 0.483547 |
| effectiveness | 0.24668 |
|
| execution | 0.247834 |
| housing hazards | 0.47227 |
| publication type | 0.434711 |
| crimes | 0.251618 |
| physical morbidity | 0.491947 |
| meaningfulness | 0.286572 |
| control | 0.238391 |
| basis | 0.243201 |
| quality | 0.238947 |
| subject matter | 0.447894 |
| youth risk behaviors | 0.696855 |
| neighborhood social disorder | 0.732579 |
| exposure | 0.249991 |
| publication status | 0.435126 |
| potential biases | 0.470675 |
| person | 0.241971 |
| potential confounders | 0.433221 |
| Community Preventive Services | 0.985501 |
| additional effect | 0.527849 |
| effect size | 0.527622 |
| experts | 0.239624 |
|
CLICK HERE |
| 15075 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Lead Levels in Childhood and Pregnancy: Screening – Children (Clinical Guide Recommendation) |
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 |
| 15121 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
School-Based Intervention Reduces Suicide Attempts |
In this Who's Leading the Leading Health Indicators? story, we looked at how the Communities Healing Adolescent Depression and Suicide (CHADS) Coalition for Mental Health helped schools in North St. Louis County, Missouri implement the SOS Signs of Suicide Prevention Program, a program to prevent suicide among adolescents. |
| endorsement | 0.230859 |
| adolescent suicide prevention | 0.701801 |
| high school-aged youth | 0.481531 |
| mental health | 0.635614 |
| required rigorous evaluation | 0.497876 |
| youth ages | 0.385993 |
| Human Services | 0.343534 |
| control group | 0.344758 |
| U.S. Department | 0.343722 |
| school-based intervention program | 0.571879 |
| Disease Control | 0.377552 |
| SOS treatment group | 0.720561 |
| U.S. Government | 0.343873 |
| suicide attempt | 0.511555 |
| Glanovsky J.BMC Public | 0.469422 |
| north St. Louis | 0.482637 |
| National Registry | 0.359581 |
| schools implement SOS | 0.759849 |
| nonprofit organization | 0.378924 |
| Communities Healing Adolescent | 0.495473 |
| middle schools | 0.368201 |
| web site | 0.345229 |
| SOS trains | 0.640941 |
| Ferguson-Florissan School District | 0.480071 |
| Disclaimer | 0.231289 |
|
| beneficial effects | 0.345542 |
| self-scored screening tool | 0.497101 |
| suicide prevention program | 0.971847 |
| high schools | 0.367857 |
| public health issue | 0.537079 |
| study | 0.242071 |
| United States | 0.357851 |
| students | 0.278053 |
| Substance Abuse | 0.355504 |
| percent | 0.298982 |
| diverse backgrounds | 0.331217 |
| Evidence-based Programs | 0.358512 |
| Jul | 0.230877 |
| process | 0.249215 |
| elementary schools | 0.362595 |
| Schilling EA | 0.355012 |
| universal intervention | 0.347505 |
| Mental Health Services | 0.508745 |
| SOS | 0.877892 |
| CHADS Coalition | 0.425582 |
| specific product | 0.345078 |
| Aseltine RH Jr | 0.478046 |
| depression | 0.245652 |
| SOS Signs | 0.67457 |
|
CLICK HERE |
| 15148 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
St. Louis Integrated Health Network — Coordinating and Retaining Patient Access to Primary Care |
In this Who's Leading the Leading Health Indicators? story, we looked at how the St. Louis Integrated Health Network implemented the Community Referral Coordinator Program to improve access to primary care. |
| Final Report | 0.509566 |
| Louis Regional Health | 0.567233 |
| IHN | 0.53999 |
| referral coordinator program | 0.808503 |
| public health departments | 0.538155 |
| Services Administration | 0.476052 |
| local health centers | 0.550856 |
| available services | 0.477579 |
| major regional safety | 0.529517 |
| ongoing care | 0.479273 |
| Coordinator Program Update | 0.536061 |
| follow-up appointments | 0.707785 |
| Community Referral Coordinator | 0.947001 |
| St. Louis region | 0.534158 |
| fewer costs.1 | 0.476016 |
| Metropolitan St. Louis | 0.532963 |
| health care services | 0.558334 |
| pilot program | 0.477393 |
| Integrated Health Network | 0.785165 |
| patients | 0.541698 |
| regional network | 0.472878 |
| key stakeholders | 0.470724 |
| underserved populations | 0.469842 |
| convenient appointments | 0.478969 |
| primary care provider | 0.551485 |
|
| usual source | 0.598797 |
| PCPs form relationships | 0.536192 |
| quality health care | 0.581375 |
| better health outcomes | 0.56555 |
| appropriate care | 0.485969 |
| hospital emergency departments | 0.520004 |
| St. Louis area | 0.545925 |
| Medicaid Services | 0.474882 |
| St. Louis Integrated | 0.706724 |
| specific patient groups | 0.516294 |
| St. Louis | 0.898398 |
| federal agencies | 0.468875 |
| Health Resources | 0.495195 |
| affordable healthcare services | 0.518476 |
| Louis Integrated Health | 0.777579 |
| safety-net providers | 0.473406 |
| CRC program | 0.628102 |
| local community health | 0.560531 |
| no-show rate | 0.535319 |
| emergency departments | 0.525855 |
| community health centers | 0.850939 |
| effective primary care | 0.535535 |
| ongoing source | 0.472954 |
| primary care | 0.602013 |
|
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 |
| 15185 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
40 Years of Increasing Access to Health Services through Mobile Health in Tucson, AZ |
n this Who's Leading the Leading Health Indicators? story, we looked at how the University of Arizona College of Family Medicine’s Department of Family and Community Medicine worked to increase access to health services through their Mobile Health Program. |
| Medically Underserved Area/Population | 0.335641 |
| Spanish-speaking populations | 0.22738 |
| health insurance | 0.395157 |
| Pima County | 0.927936 |
| health care provider | 0.401986 |
| Human Services | 0.240841 |
| patient services | 0.24585 |
| health issues | 0.282744 |
| life stages | 0.230536 |
| County Community Health | 0.413855 |
| Native American population | 0.296963 |
| underserved areas | 0.227492 |
| program plans | 0.2373 |
| Community Medicine | 0.22707 |
| dental services | 0.243123 |
| health care services | 0.456285 |
| individual’s health | 0.313613 |
| primary medical care | 0.342465 |
| expectant mothers | 0.221445 |
| poverty line | 0.22607 |
| health care facilities | 0.467861 |
| University Medical Group/College | 0.325334 |
| primary care doctors | 0.384868 |
| undeserved communities | 0.221189 |
| targets vulnerable adults | 0.31756 |
|
| preventable conditions | 0.23828 |
| personal health services | 0.411768 |
| early prenatal care | 0.354916 |
| health promotion | 0.287574 |
| premature death | 0.234143 |
| U.S.-Mexico border | 0.361796 |
| Pima County residents | 0.403659 |
| health services | 0.490602 |
| community health efforts | 0.379654 |
| health care | 0.676907 |
| Needs Assessment | 0.222986 |
| Medicine Department | 0.221335 |
| high-quality health services | 0.462341 |
| poverty threshold | 0.223774 |
| Mobile Health Program | 0.734353 |
| birth care | 0.338307 |
| medical care.4 | 0.224371 |
| cultural barriers | 0.233797 |
| Health Professional Shortage | 0.602668 |
| Professional Shortage Areas | 0.563158 |
| major problem | 0.227846 |
| program informs | 0.243854 |
| Mobile Health Clinic | 0.382639 |
| preventive services | 0.238431 |
|
CLICK HERE |