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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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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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Preventing Skin Cancer: Primary and Middle School Interventions. (Community Guide Recommendation) |
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| skin cancer | 0.564021 |
| Task Force | 0.564237 |
| classification scheme | 0.520547 |
| statistical significance | 0.517743 |
| evidence-based resources | 0.781177 |
| Human Services | 0.718298 |
| formation | 0.338979 |
| Washington | 0.33442 |
| U.S. Department | 0.729692 |
| number | 0.335724 |
| policy changes | 0.540392 |
| S.W. | 0.334462 |
| studies | 0.335683 |
| specific criteria | 0.527561 |
| magnitude | 0.352978 |
| internal validity | 0.557727 |
| Healthy People | 0.533187 |
| sample size | 0.513297 |
| external validity | 0.554134 |
| sun-protective behaviors | 0.826076 |
| ultraviolet exposure | 0.580199 |
|
| set | 0.336079 |
| Federal Government Web | 0.703595 |
| publication type | 0.523622 |
| Independence Avenue | 0.520877 |
| meaningfulness | 0.377251 |
| new moles | 0.590913 |
| sunburn incidence | 0.607483 |
| quality | 0.33481 |
| middle school interventions | 0.94029 |
| subject matter | 0.533635 |
| site | 0.334801 |
| publication status | 0.524013 |
| potential biases | 0.544415 |
| potential confounders | 0.511249 |
| grade | 0.338619 |
| Community Preventive Services | 0.801371 |
| educational interventions | 0.684665 |
| additional effect | 0.595193 |
| effect size | 0.59617 |
| experts | 0.337243 |
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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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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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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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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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Office of Disease Prevention and Health Promotion, Healthy People |
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Environmental Health |
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| EH-3 Reduce air | 0.292856 |
| indoor air quality | 0.328388 |
| data source | 0.438999 |
| safe physical school | 0.768975 |
| objective | 0.322431 |
| number | 0.28152 |
| mobile sources | 0.275056 |
| Concentration level | 0.925963 |
| air toxic emissions | 0.456667 |
| health care facility | 0.273363 |
| Drinking Water Act | 0.279101 |
| lead-based paint | 0.305508 |
| air quality management | 0.328383 |
| urine samples | 0.374883 |
| spot treatments | 0.273842 |
| serum samples | 0.448182 |
| Baseline | 0.926152 |
| population | 0.614541 |
| Reduce exposure | 0.732529 |
| official school policies | 0.274485 |
| quality management program | 0.334277 |
| high schools | 0.761611 |
| Nation | 0.358464 |
| proportion | 0.292957 |
| blood samples | 0.339402 |
|
| EH-20.2 Reduce exposure | 0.291534 |
| urine concentrations | 0.784643 |
| percent | 0.767703 |
| lipid | 0.33839 |
| EH-20.3 Reduce exposure | 0.291132 |
| adverse health effects | 0.341082 |
| creatinine | 0.308493 |
| hazardous materials | 0.271652 |
| physical school environment | 0.772278 |
| airborne toxics | 0.281654 |
| Air Quality Index | 0.277105 |
| high-priority health issues | 0.279787 |
| EH-20.1 Reduce exposure | 0.291959 |
| U.S. homes | 0.353281 |
| drinking water outlets | 0.510504 |
| substance | 0.34468 |
| blood | 0.460716 |
| metabolites | 0.374515 |
| major sources | 0.277612 |
| mold problems | 0.274885 |
| blood lead level | 0.289551 |
| revision history | 0.860904 |
| community water systems | 0.564577 |
| mean blood lead | 0.277255 |
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