| 2153 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Public Health Preparedness; Mobilizing State by State: A CDC Report on the Public Health Emergency Preparedness Cooperative Agreement |
Back to EBR Search. |
| evidence-based resources | 0.574024 |
| Los Angeles County | 0.568322 |
| Human Services | 0.48402 |
| U.S. Department | 0.484172 |
| New York City | 0.56803 |
| public health departments | 0.595828 |
| Disease Control | 0.667931 |
| Terrorism Preparedness | 0.60538 |
| State-specific snapshots | 0.499024 |
| 50 States | 0.491949 |
| specific criteria | 0.485248 |
| sample size | 0.483662 |
| external validity | 0.490775 |
| inaugural report | 0.497948 |
| work | 0.416557 |
| Emergency Preparedness Cooperative | 0.675097 |
| health protection goals | 0.60608 |
| subject matter | 0.482126 |
| potential confounders | 0.483165 |
| transparency | 0.418092 |
| local preparedness | 0.61423 |
| effect size | 0.502319 |
| Emergency Response | 0.490387 |
| Centers | 0.446142 |
|
| classification scheme | 0.483657 |
| statistical significance | 0.482907 |
| nuclear events | 0.503419 |
| health threats—people | 0.52019 |
| Prevention | 0.446063 |
| preparedness challenges | 0.614392 |
| magnitude | 0.41753 |
| public health emergency | 0.715592 |
| internal validity | 0.49382 |
| Healthy People | 0.481357 |
| Coordinating Office | 0.490419 |
| agency | 0.416524 |
| publication type | 0.486065 |
| directly funded localities | 0.567808 |
| meaningfulness | 0.425173 |
| aggregate data | 0.493202 |
| terrorist threats | 0.503237 |
| Health Preparedness Summit | 0.692773 |
| publication status | 0.486159 |
| potential biases | 0.491675 |
| preparedness activities | 0.609655 |
| additional effect | 0.502343 |
| CDC report | 0.519237 |
| health emergency preparedness | 0.828906 |
|
CLICK HERE |
| 2223 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Recommendations for using Tenant-based Rental Assistance Programs to Promote Healthy Social Environments—Recommendations to promote healthy social environments. (Community Guide Recommendation) |
Back to EBR Search. |
| Task Force | 0.668287 |
| classification scheme | 0.625106 |
| statistical significance | 0.622135 |
| evidence-based resources | 0.892216 |
| assistance programs | 0.876338 |
| Human Services | 0.823586 |
| Washington | 0.434656 |
| U.S. Department | 0.834862 |
| number | 0.436025 |
| S.W. | 0.4347 |
| direct cash assistance | 0.855363 |
| housing options | 0.645362 |
| property | 0.442004 |
| studies | 0.435982 |
| Tenant-based rental assistance | 0.857649 |
| specific criteria | 0.632366 |
| magnitude | 0.455572 |
| internal validity | 0.666674 |
| Healthy People | 0.638072 |
| sample size | 0.617088 |
| external validity | 0.663778 |
| set | 0.436393 |
|
| Federal Government Web | 0.809909 |
| publication type | 0.627793 |
| Independence Avenue | 0.626273 |
| crimes | 0.447588 |
| meaningfulness | 0.481616 |
| vouchers | 0.462123 |
| quality | 0.435095 |
| low-income families | 0.658701 |
| subject matter | 0.638587 |
| site | 0.435051 |
| neighborhood social disorder | 0.895637 |
| exposure | 0.445965 |
| publication status | 0.628202 |
| decreases | 0.478241 |
| potential biases | 0.651455 |
| person | 0.437986 |
| potential confounders | 0.614941 |
| Community Preventive Services | 0.910088 |
| additional effect | 0.708906 |
| effect size | 0.710572 |
| experts | 0.437582 |
|
CLICK HERE |
| 2357 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Obesity Prevention and Control: Technology-Supported Multicomponent Coaching or Counseling Interventions to Reduce Weight and Maintain Weight Loss. (Community Guide Recommendation) |
Back to EBR Search. |
| 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 |
| 2561 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Healthy People 2020 At Work in the Community: Human Rights and Health Collective |
In this story from the field, we take a look at a California organization that addressed health conditions related to housing and food security among low-income residents. |
| community coalitions | 0.26389 |
| public health issues | 0.371365 |
| Lydia Trejo | 0.25795 |
| large governmental agencies | 0.339524 |
| fresh foods | 0.489778 |
| —Becky Dennison | 0.232766 |
| community gardens | 0.245065 |
| topic area | 0.348181 |
| rooftop gardens | 0.2504 |
| community health. | 0.250345 |
| food insecurity | 0.489107 |
| hot water | 0.240608 |
| empower other residents | 0.261488 |
| Ms. Trejo | 0.25601 |
| recent widow | 0.236878 |
| government agencies | 0.23163 |
| Environmental Health | 0.267867 |
| teaching residents | 0.259379 |
| housing issues | 0.373973 |
| compliant housing processes | 0.392772 |
| America’s health | 0.261585 |
| community-based organization | 0.247198 |
| Healthy Communities | 0.244207 |
| peer educator | 0.460745 |
| teaching peer-to-peer educators | 0.386465 |
|
| Downtown Los Angeles | 0.355585 |
| community health | 0.285444 |
| housing authorities | 0.265607 |
| Angeles Community Action | 0.597656 |
| Los Angeles Community | 0.590108 |
| Becky Dennison | 0.245901 |
| community organizer | 0.246145 |
| community members | 0.260174 |
| South Los Angeles | 0.387421 |
| peer-to-peer trainings | 0.286606 |
| peer-to-peer education | 0.249117 |
| Healthy Homes | 0.242698 |
| Healthy People | 0.34939 |
| healthy housing conditions | 0.382565 |
| occupied housing units | 0.354012 |
| intensive health promotion | 0.365522 |
| Project Director | 0.358143 |
| Community Action Network | 0.605202 |
| low-income residents | 0.393747 |
| higher education institutions | 0.340197 |
| rooftop garden | 0.243501 |
| housing situation | 0.243747 |
| Human Rights | 0.78914 |
| Health Collective Project | 0.980882 |
|
CLICK HERE |
| 2620 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Food Safety |
null |
| Listeria monocytogenes infections | 0.340774 |
| Salmonella species | 0.783978 |
| number | 0.266029 |
| Disease Control | 0.436441 |
| antimicrobial agents | 0.272084 |
| Shiga toxin-producing E. | 0.989558 |
| Zoonotic Infectious Diseases | 0.628585 |
| Vibrio species infections | 0.311312 |
| O157 infections | 0.273362 |
| National Center | 0.419696 |
| Salmonella species infections | 0.344631 |
| Data Sources | 0.444978 |
| Federal Government Web | 0.269586 |
| Baseline | 0.610907 |
| Reduce | 0.266376 |
| food safety practice | 0.484892 |
| Territorial Epidemiologists | 0.454179 |
| food contact | 0.259538 |
| O157 | 0.347722 |
| average | 0.357185 |
| Centers | 0.2543 |
| proportion | 0.259384 |
| food commodity groups | 0.279534 |
| 100,000 | 0.255859 |
|
| percent | 0.314944 |
| nontyphoidal Salmonella | 0.328462 |
| hemolytic uremic syndrome | 0.286123 |
| Council | 0.254202 |
| Prevention | 0.254269 |
| ready-to-eat foods | 0.265975 |
| outbreak-associated infections | 0.695967 |
| Listeria | 0.390538 |
| proper temperature | 0.320807 |
| toxin-producing E. coli | 0.973741 |
| Campylobacter | 0.356412 |
| bare hands | 0.294743 |
| wash hands | 0.273212 |
| cases | 0.255922 |
| NORS | 0.268008 |
| fast-food restaurants | 0.347321 |
| Yersinia species infections | 0.305233 |
| full-service restaurants | 0.319234 |
| severe allergic reactions | 0.268646 |
| hot foods | 0.260132 |
| key food safety | 0.484926 |
| National Outbreak Reporting | 0.608391 |
| leafy vegetables | 0.283406 |
| food allergy diagnosis | 0.270455 |
|
CLICK HERE |
| 14789 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Reducing Alcohol-Impaired Driving: Mass Media Campaigns—Recommendation for use of mass media campaigns to reduce alcohol-impaired driving. (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 |
| 14971 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Skin Cancer: Counseling |
null |
| counseling children | 0.715185 |
| skin cancer | 0.704766 |
| classification scheme | 0.670721 |
| statistical significance | 0.667172 |
| evidence-based resources | 0.960011 |
| Force | 0.450944 |
| Human Services | 0.665032 |
| recommendation | 0.464405 |
| U.S. Department | 0.66584 |
| USPSTF | 0.664417 |
| specific criteria | 0.665642 |
| magnitude | 0.467362 |
| internal validity | 0.714674 |
| Healthy People | 0.672772 |
| sample size | 0.656061 |
| Preventive Services Task | 0.992119 |
| external validity | 0.712974 |
| high certainty | 0.768284 |
| set | 0.442254 |
| moderate certainty | 0.879147 |
|
| adolescents | 0.46207 |
| publication type | 0.655619 |
| meaningfulness | 0.496497 |
| control | 0.442204 |
| quality | 0.44285 |
| subject matter | 0.673155 |
| net benefit | 0.884294 |
| exposure | 0.456297 |
| publication status | 0.656095 |
| radiation | 0.450981 |
| young adults | 0.714092 |
| potential biases | 0.695918 |
| potential confounders | 0.653434 |
| additional effect | 0.761245 |
| ages | 0.450562 |
| risk | 0.450034 |
| effect size | 0.759924 |
| fair skin | 0.704549 |
| experts | 0.443671 |
|
CLICK HERE |
| 15174 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
The Massachusetts Child Psychiatry Access Project: Improving Access to Mental Health Treatment |
In this Who's Leading the Leading Health Indicators? story, we looked at how the Massachusetts Department of Mental Health used funding from the Centers for Medicare and Medicaid Services (CMS) State Innovation Model (SIM) Initiative to enhance their Massachusetts Child Psychiatry Access Project, which helps pediatricians better meet the needs of children and youth with behavioral health issues. |
| psychiatric specialty care | 0.523586 |
| mental health | 0.703067 |
| Human Services | 0.509378 |
| Massachusetts Executive Office | 0.51882 |
| Health Insurance Program | 0.560656 |
| Medicaid Services State | 0.526117 |
| primary care providers | 0.524313 |
| care coordinators | 0.46834 |
| children | 0.568336 |
| behavioral health | 0.989114 |
| multiple psychiatric medications | 0.508308 |
| regional consultation teams | 0.50558 |
| PCP satisfaction surveys | 0.502811 |
| Positive Parenting Program | 0.502366 |
| population health | 0.499724 |
| outpatient behavioral health | 0.581618 |
| state health agencies | 0.559862 |
| MCPAP staff assist | 0.527942 |
| future MCPAP utilization | 0.525459 |
| PCP request | 0.464812 |
| Psychiatry Access Project | 0.624307 |
| complex children | 0.47706 |
| early childhood | 0.494982 |
| Massachusetts Department | 0.520335 |
| systems transformation activities | 0.515771 |
|
| behavioral health problems | 0.827425 |
| child psychiatry | 0.654161 |
| behavioral health services | 0.652116 |
| SIM grant funds | 0.508029 |
| behavioral health issues | 0.689119 |
| in-person child psychiatry | 0.51003 |
| transitional care | 0.466778 |
| regional children | 0.478892 |
| SIM grant | 0.564209 |
| behavioral health resources | 0.584081 |
| Massachusetts Child Psychiatry | 0.624011 |
| MCPAP Evaluation Advisory | 0.517608 |
| grant funds | 0.576202 |
| Territorial Health Officials | 0.554105 |
| childhood mental health | 0.591293 |
| traditional primary care | 0.528705 |
| Child Psychiatry Access | 0.621495 |
| psychiatric consultation teams | 0.514701 |
| mental health arena | 0.536581 |
| key areas | 0.464177 |
| PCPs | 0.474507 |
| MCPAP | 0.610531 |
| primary care | 0.713761 |
| postpartum depression | 0.502644 |
|
CLICK HERE |
| 15200 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Nutrition and Weight Status |
null |
| education | 0.253318 |
| foods | 0.272608 |
| daily calorie intake | 0.51727 |
| Human Services | 0.257015 |
| orange vegetables | 0.300991 |
| obese | 0.257029 |
| U.S. Department | 0.257049 |
| children | 0.342744 |
| school districts | 0.268453 |
| mean total | 0.295308 |
| low food security | 0.306071 |
| Federal Government Web | 0.302889 |
| nutrition standards | 0.267 |
| body mass index | 0.412787 |
| adolescent patients | 0.261396 |
| Baseline | 0.853535 |
| primary care physicians | 0.408832 |
| Dietary Guidelines | 0.265931 |
| persons | 0.323268 |
| nutrition | 0.267263 |
| standard population | 0.980191 |
| State-level policies | 0.269502 |
| percent | 0.690465 |
| total daily intake | 0.368833 |
| calorically sweetened beverages | 0.323972 |
|
| weight reduction | 0.322235 |
| child care | 0.262493 |
| adult patients | 0.442496 |
| dietary supplements | 0.296793 |
| high-priority health issues | 0.53389 |
| Healthy People | 0.383822 |
| total daily calorie | 0.508012 |
| mean percentage | 0.384392 |
| cardiovascular disease | 0.316602 |
| solid fats | 0.304075 |
| total vegetables | 0.256179 |
| Independence Avenue | 0.254291 |
| food retail outlets | 0.321167 |
| NWS-10.1 Reduce | 0.257924 |
| Health Indicators | 0.376443 |
| healthy weight | 0.254098 |
| calories | 0.255195 |
| mean daily intake | 0.553049 |
| cup equivalent | 0.366724 |
| preschool-aged children | 0.268759 |
| physical activity | 0.328772 |
| dark green vegetables | 0.385087 |
| age | 0.47867 |
| physician office visits | 0.694775 |
|
CLICK HERE |
| 15216 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Vision |
null |
| full-time workers | 0.288769 |
| personal protective eyewear | 0.245143 |
| Federal Government Web | 0.249743 |
| recreational activities | 0.248641 |
| protective eyewear | 0.25202 |
| Baseline | 0.734239 |
| hazardous situations | 0.250439 |
|
| vision rehabilitation services | 0.237395 |
| percent | 0.226388 |
| comprehensive eye examination | 0.257981 |
| standard population | 0.908267 |
| visual impairment | 0.629082 |
| age-related macular degeneration | 0.257479 |
| occupational eye injuries | 0.423651 |
|
CLICK HERE |