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Office of Disease Prevention and Health Promotion, Healthy People |
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Helping Improve Access to Health Services |
In this Who's Leading the Leading Health Indicators? story, we looked at the University of Chicago Medical Center's Urban Health Initiative's South Side Healthcare Collaborative, a network of more than 30 community-based health centers, free clinics and local hospitals on the south side of Chicago, who partner to help residents make a long-term connection with a primary care physician. |
| SSHC clinics | 0.414326 |
| endorsement | 0.248286 |
| medical education | 0.408742 |
| illnesses | 0.236439 |
| South Side Healthcare | 0.427395 |
| emergency rooms | 0.438989 |
| Human Services | 0.551908 |
| recommendation | 0.237446 |
| U.S. Department | 0.528574 |
| primary care—and | 0.415386 |
| emergencies | 0.241878 |
| S.W. | 0.233752 |
| U.S. Government | 0.396732 |
| follow-up appointments | 0.431101 |
| Urban Health Initiative | 0.958344 |
| Program | 0.235744 |
| Federal Government Web | 0.574185 |
| web site | 0.554786 |
| Chicago Medicine | 0.410918 |
| emergency department | 0.746538 |
| patient care | 0.410879 |
| Disclaimer | 0.249092 |
| primary care physicians | 0.622141 |
| quality care | 0.414692 |
|
| University | 0.271057 |
| patient care—offering | 0.419126 |
| access | 0.233886 |
| importance | 0.282276 |
| community-based health centers | 0.649424 |
| Washington | 0.233725 |
| network | 0.273329 |
| burden | 0.248207 |
| non-emergency medical conditions | 0.646748 |
| Medical Home Connection | 0.604123 |
| local hospitals | 0.420292 |
| community-based research | 0.42029 |
| emergency department patients | 0.625594 |
| regular source | 0.645184 |
| Chicago Medical Center | 0.628022 |
| Independence Avenue | 0.40311 |
| Reference | 0.2332 |
| emergency departments | 0.436619 |
| families | 0.236671 |
| opportunities | 0.236469 |
| primary care doctor | 0.610684 |
| long-term commitment | 0.40527 |
| specific product | 0.401735 |
| primary care | 0.820144 |
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Office of Disease Prevention and Health Promotion, Healthy People |
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Improving Air Quality Through Community Partnerships |
In this Who's Leading the Leading Health Indicators? story, we looked at how Maricopa County's Rapid Response Notification System improved air quality through community partnerships. |
| air pollution challenges | 0.449981 |
| specific dust control | 0.381882 |
| indoor air quality | 0.456723 |
| air quality statutes | 0.434552 |
| human-generated dust incidents | 0.384744 |
| dust pollution incidents—that | 0.428732 |
| Rapid Response Notification | 0.495187 |
| Environmental Health Sciences | 0.393953 |
| U.S. Environmental Protection | 0.537254 |
| Maricopa County residents | 0.466941 |
| Federal health standards | 0.393627 |
| U.S. Department | 0.378373 |
| air pollution levels | 0.471875 |
| Maricopa County QuickFacts. | 0.406661 |
| Health Promotion | 0.382843 |
| outdoor air quality | 0.522454 |
| air quality violations | 0.436652 |
| Air Pollutants | 0.377802 |
| air quality levels | 0.436447 |
| secondhand smoke | 0.3724 |
| clean air | 0.371394 |
| air quality | 0.926885 |
| Air Pollution. | 0.374555 |
| air quality incidents | 0.435699 |
|
| Air Quality Trends. | 0.43155 |
| World Health Organization | 0.386343 |
| Ambient Air | 0.372939 |
| particle pollution | 0.397949 |
| Rapid Response program | 0.37776 |
| Pollution Information Site | 0.40024 |
| air quality standards | 0.459012 |
| Maricopa County Air | 0.558549 |
| long-term health effects | 0.401357 |
| national health thresholds.9 | 0.400954 |
| County Air Quality | 0.543851 |
| total disease burden | 0.386579 |
| Infant Death Syndrome | 0.372879 |
| health-based air pollution | 0.449949 |
| Maricopa County community | 0.417651 |
| health care organizations | 0.392188 |
| Air Quality Department | 0.755336 |
| Maricopa County | 0.629469 |
| air pollution | 0.601966 |
| Environmental Protection Agency | 0.625219 |
| Safe air | 0.391442 |
| air pollution levels—in | 0.460836 |
| Poor outdoor air | 0.427628 |
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Office of Disease Prevention and Health Promotion, Healthy People |
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Adolescent Health |
This objective was revised. See Revision History for Details. |
| high school | 0.31899 |
| reading skills | 0.393167 |
| mathematics skills | 0.389608 |
| sexual orientation | 0.317949 |
| secondary school students | 0.330246 |
| school events | 0.271271 |
| school work | 0.277231 |
| core indicators | 0.267828 |
| extensive discussion | 0.265831 |
| school property | 0.273506 |
| state rates | 0.267659 |
| private schools | 0.554037 |
| public schools | 0.329019 |
| audiometric notches | 0.268881 |
| adolescents | 0.580394 |
| Federal Government Web | 0.319545 |
| middle schools | 0.274734 |
| tobacco-free environments | 0.26744 |
| Property Crime Index | 0.314558 |
| Baseline | 0.827602 |
| aerobic physical activity | 0.315519 |
| young adults | 0.382584 |
| 12th grade students | 0.44507 |
| noise-induced hearing loss | 0.313837 |
| out-of-school activities | 0.361323 |
|
| high schools | 0.431325 |
| proficient achievement level | 0.93009 |
| proportion | 0.426969 |
| positive early indicators | 0.4675 |
| percent | 0.750054 |
| Crime Index | 0.320345 |
| wellness checkup | 0.349634 |
| comprehensive picture | 0.265693 |
| grade students | 0.539246 |
| Education Act | 0.332419 |
| illicit drug treatment | 0.315812 |
| high-priority health issues | 0.337204 |
| AH-11.3 Decrease | 0.265978 |
| regular diploma | 0.271254 |
| Healthy People | 0.337026 |
| school breakfast program | 0.330982 |
| Violent Crime Index | 0.31506 |
| gender identity | 0.319816 |
| male adolescents | 0.322916 |
| Health Indicators | 0.276687 |
| relevant Healthy People | 0.312752 |
| Health Topic Area | 0.316933 |
| foster care | 0.3501 |
| school facilities | 0.273417 |
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Global Health |
This objective was revised. See Revision History for Details. |
| foreign-born persons | 0.437363 |
| health threats | 0.412907 |
| United States | 0.551045 |
| GDD | 0.352224 |
| CDC/CGH | 0.322878 |
| 100,000 | 0.321466 |
| Potential Data Sources | 0.741024 |
| CPS | 0.326573 |
| Human Services | 0.414168 |
| changes | 0.347766 |
| Global Disease Detection | 0.793347 |
| CDC/CSELS | 0.344166 |
| NNDSS | 0.344526 |
| Epidemiology | 0.354745 |
| National Notifiable Diseases | 0.766928 |
| objective | 0.436834 |
| U.S. Department | 0.417627 |
| Prevention | 0.344386 |
| Current Population Survey | 0.519246 |
| Disease Control | 0.531219 |
| Laboratory Services | 0.536756 |
| public health professionals | 0.507442 |
|
| policy | 0.34358 |
| DOL/BLS | 0.320732 |
| Federal Government Web | 0.515617 |
| Notifiable Diseases Surveillance | 0.79589 |
| Independence Avenue | 0.415555 |
| change | 0.343615 |
| tuberculosis | 0.325243 |
| Baseline | 0.432712 |
| National Malaria Surveillance | 0.583605 |
| TB | 0.326866 |
| lack | 0.360284 |
| revision history | 0.948447 |
| Census | 0.321057 |
| site | 0.320309 |
| Details | 0.347728 |
| tests | 0.320616 |
| science | 0.347729 |
| objectives | 0.352173 |
| Regional Centers | 0.413365 |
| programs | 0.336815 |
| NMSS | 0.322896 |
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Office of Disease Prevention and Health Promotion, Healthy People |
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Transportation Health Impact Assessment Toolkit: Strategies for Health-Oriented Transportation Projects and Policies Incorporate Healthy Community Design Features |
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| Oct | 0.239266 |
| Health-Oriented Transportation Projects | 0.692654 |
| evidence-based resources | 0.612373 |
| Human Services | 0.57562 |
| future transportation initiatives | 0.61503 |
| health impact assessment | 0.884246 |
| U.S. Department | 0.576583 |
| impact assessment toolkit | 0.93055 |
| number | 0.230959 |
| Disease Control | 0.598373 |
| S.W. | 0.230498 |
| specific criteria | 0.395728 |
| sample size | 0.388051 |
| external validity | 0.418487 |
| health professionals | 0.605032 |
| Federal Government Web | 0.557364 |
| subject matter | 0.399204 |
| planning | 0.233797 |
| potential confounders | 0.386489 |
| transportation health impact | 0.872842 |
| Internet | 0.233699 |
| effect size | 0.454768 |
| health impacts | 0.45344 |
| Centers | 0.265104 |
|
| classification scheme | 0.391306 |
| statistical significance | 0.389082 |
| community planners | 0.420717 |
| stakeholders | 0.249867 |
| Prevention | 0.264946 |
| Atlanta | 0.233319 |
| studies | 0.230928 |
| magnitude | 0.244392 |
| internal validity | 0.423065 |
| Healthy People | 0.645838 |
| Policies Incorporate Healthy | 0.683614 |
| set | 0.231226 |
| publication type | 0.395027 |
| Independence Avenue | 0.392545 |
| http://www.cdc.gov/healthyplaces/transportation/HIA_toolkit.htm | 0.234971 |
| meaningfulness | 0.26517 |
| site | 0.230757 |
| Community Design Features | 0.634741 |
| publication status | 0.395323 |
| potential biases | 0.413336 |
| Strategies | 0.237724 |
| additional effect | 0.453352 |
| experts | 0.231958 |
| account | 0.234945 |
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A CDC Compendium of Effective Fall Interventions: What Works for Community-Dwelling Older Adults. 2nd ed. |
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| 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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Office of Disease Prevention and Health Promotion, Healthy People |
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Universally Recommended Vaccinations: Reducing Client Out-of-Pocket Costs for Vaccinations. (Community Guide Recommendation) |
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| 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 |
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Office of Disease Prevention and Health Promotion, Healthy People |
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Recommendations for worksite-based interventions to improve workers' health. (Community Guide Recommendation) |
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| 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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A Systematic Review of Mental Disorder, Suicide, and Deliberate Self Harm in Lesbian, Gay, and Bisexual People |
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| evidence-based resources | 0.723567 |
| data | 0.455567 |
| narrow window | 0.582032 |
| depressive episodes | 0.575809 |
| Nazareth I. | 0.566547 |
| University College London | 0.909265 |
| Human Services | 0.55186 |
| North Gower Street | 0.713256 |
| bisexual people | 0.557891 |
| U.S. Department | 0.557753 |
| Population Sciences | 0.56147 |
| large factors | 0.564737 |
| Mental Health Sciences | 0.730734 |
| specific criteria | 0.545984 |
| Islington Mental Health | 0.736029 |
| Osborn | 0.434597 |
| sample size | 0.552582 |
| external validity | 0.568108 |
| international base | 0.588379 |
| Hampstead Campus | 0.70984 |
| Royal Free | 0.683136 |
| General Practice Research | 0.716069 |
| subject matter | 0.548161 |
| Medical Research Council | 0.721543 |
|
| potential confounders | 0.551603 |
| College Medical School | 0.912125 |
| effect size | 0.596407 |
| classification scheme | 0.550527 |
| statistical significance | 0.549027 |
| international studies | 0.576837 |
| St Pancras Hospital | 0.723206 |
| University College Medical | 0.907961 |
| deliberate self harm | 0.709526 |
| internal validity | 0.574124 |
| Healthy People | 0.548707 |
| mental instability | 0.596525 |
| social stigma | 0.584482 |
| U.S.-based samples | 0.585619 |
| publication type | 0.549483 |
| meaningfulness | 0.448117 |
| mental disorder | 0.572592 |
| systematic review | 0.56603 |
| LGBT evidence-based research | 0.807727 |
| BMC Psychiatry | 0.568239 |
| publication status | 0.54966 |
| potential biases | 0.569439 |
| additional effect | 0.594282 |
| Primary Care | 0.567644 |
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Oral Health |
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| permanent tooth | 0.598412 |
| dental sealants | 0.306076 |
| proportion | 0.425958 |
| oral health care | 0.381305 |
| adults | 0.285674 |
| Baseline | 0.914525 |
| Tribal health programs | 0.252198 |
| percent | 0.888212 |
| Indian Health Service | 0.247655 |
| dental public health | 0.434297 |
|
| Health Service Areas | 0.247628 |
| standard population | 0.3137 |
| children | 0.304794 |
| public health training | 0.480431 |
| untreated coronal caries | 0.220372 |
| pharyngeal cancer screening | 0.259728 |
| dental caries experience | 0.79253 |
| dental hygienist | 0.358458 |
| untreated dental decay | 0.74015 |
| public health program | 0.469753 |
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CLICK HERE |