| 2205 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Sleep Apnea, Sleepiness, and Driving Risk |
Back to EBR Search. |
| classification scheme | 0.649346 |
| statistical significance | 0.647478 |
| evidence-based resources | 0.807359 |
| nuances | 0.549962 |
| education | 0.525927 |
| Human Services | 0.648985 |
| recommendations | 0.524851 |
| U.S. Department | 0.649434 |
| responsibilities | 0.532307 |
| physicians | 0.526637 |
| medical condition | 0.674135 |
| specific criteria | 0.646495 |
| magnitude | 0.536488 |
| internal validity | 0.669005 |
| Healthy People | 0.650616 |
| sleep apnea | 0.951029 |
| sample size | 0.640139 |
| external validity | 0.668067 |
| circumstantial legal obligations | 0.838272 |
| set | 0.524094 |
|
| publication type | 0.639845 |
| patients | 0.526591 |
| meaningfulness | 0.55092 |
| control | 0.524075 |
| sleepiness | 0.555136 |
| authorities | 0.575821 |
| quality | 0.524439 |
| subject matter | 0.650723 |
| risks | 0.572036 |
| publication status | 0.640103 |
| potential biases | 0.659726 |
| potential confounders | 0.638719 |
| additional effect | 0.690402 |
| risk | 0.525669 |
| effect size | 0.68813 |
| drivers | 0.525806 |
| experts | 0.524898 |
| health effects | 0.651419 |
| duties | 0.530475 |
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| 2243 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Diabetes Prevention and Control: Disease Management Programs—Recommendations for healthcare system and self-management education interventions to reduce morbidity and mortality from diabetes. (Commun |
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 |
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| 2244 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
en |
Diabetes Prevention and Control: Self-Management Education—Recommendations for healthcare system and self-management education interventions to reduce morbidity and mortality from diabetes. (Communit |
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 |
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CLICK HERE |
| 2256 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Interventions to Promote Seasonal Influenza Vaccinations among Non-Healthcare Workers. (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 |
|
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| 2609 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Chronic Kidney Disease |
This objective was revised. See Revision History for Details. |
| donor kidney transplant | 0.330512 |
| Target-Setting Method | 0.269959 |
| lipids | 0.234755 |
| Human Services | 0.232392 |
| type | 0.227548 |
| serum creatinine | 0.336731 |
| U.S. Department | 0.230887 |
| medical evaluation | 0.321503 |
| primary mode | 0.291829 |
| deaths | 0.252355 |
| angiotensin-converting enzyme | 0.265522 |
| blood pressure | 0.233492 |
| renal replacement therapy | 0.498772 |
| deceased donor kidney | 0.333943 |
| Federal Government Web | 0.258273 |
| Baseline | 0.573419 |
| end-stage renal disease | 0.320879 |
| blood cholesterol | 0.262125 |
| persons | 0.381859 |
| receptor blockers | 0.267349 |
| standard population | 0.369651 |
| acute kidney injury | 0.341001 |
| new cases | 0.234682 |
| vascular access | 0.321056 |
|
| chronic kidney disease | 0.941428 |
| medical treatment | 0.260087 |
| followup renal evaluation | 0.32449 |
| proportion | 0.32046 |
| hospital patients | 0.262481 |
| CKD-14.2 Reduce | 0.230877 |
| kidney failure | 0.277367 |
| ESRD start | 0.233778 |
| percent | 0.403103 |
| cardiovascular deaths | 0.232736 |
| angiotensin II receptor | 0.268782 |
| cardiovascular disease | 0.231727 |
| informational purposes | 0.265359 |
| kidney disease patients | 0.325331 |
| Independence Avenue | 0.231002 |
| adult hemodialysis patients | 0.403012 |
| start | 0.247879 |
| U.S. population | 0.239386 |
| preemptive transplant | 0.232152 |
| microalbuminuria | 0.231519 |
| eye examinations | 0.265884 |
| arteriovenous fistulas | 0.301049 |
| renal function | 0.277388 |
| risk | 0.230864 |
|
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| 14689 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Breast Cancer Screening Intervention Programs-- RTIPS |
null |
| evidence-based resources | 0.763931 |
| following criteria | 0.61676 |
| reach | 0.432378 |
| Community Guide findings | 0.81576 |
| James Bell Associates | 0.790388 |
| public health practitioners | 0.830894 |
| Human Services | 0.597594 |
| research findings | 0.640368 |
| U.S. Department | 0.598022 |
| Inc. | 0.434265 |
| program planners | 0.641313 |
| research integrity | 0.610345 |
| specific criteria | 0.605766 |
| immediate access | 0.641847 |
| associated materials | 0.604222 |
| sample size | 0.594903 |
| external validity | 0.623663 |
| RTIPs Web site | 0.781624 |
| quality | 0.431797 |
| cancer control interventions | 0.875637 |
| subject matter | 0.59578 |
| field | 0.433824 |
| peer review | 0.607597 |
| dissemination capability | 0.611064 |
|
| potential confounders | 0.593501 |
| effect size | 0.657449 |
| classification scheme | 0.59798 |
| statistical significance | 0.595897 |
| intervention impact | 0.65487 |
| research products | 0.615764 |
| adoption | 0.433014 |
| magnitude | 0.445136 |
| internal validity | 0.628622 |
| Healthy People | 0.595231 |
| effectiveness | 0.433082 |
| program materials | 0.646111 |
| publication type | 0.591627 |
| implementation | 0.432972 |
| searchable database | 0.639963 |
| peer-reviewed journal | 0.619751 |
| meaningfulness | 0.46566 |
| Research-tested Intervention Programs | 0.910972 |
| publication status | 0.59188 |
| potential biases | 0.619561 |
| additional effect | 0.656944 |
| experts | 0.463654 |
| research-tested materials | 0.644321 |
| publications | 0.433981 |
|
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| 14805 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Increasing Tobacco Use Cessation: Provider Reminders with Provider Education—Recommendations regarding interventions to reduce tobacco use and exposure to environmental tobacco smoke. (Community Guid |
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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| 15081 |
Office of Disease Prevention and Health Promotion, Healthy People |
Html |
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Cervical Cancer: Screening – Women Younger Than Age 21 (Clinical Guide Recommendation) |
null |
| benefits | 0.349717 |
| classification scheme | 0.601386 |
| statistical significance | 0.597122 |
| evidence-based resources | 0.92458 |
| Force | 0.356011 |
| Human Services | 0.592085 |
| recommendation | 0.374908 |
| U.S. Department | 0.593071 |
| USPSTF | 0.604489 |
| harms | 0.385444 |
| specific criteria | 0.596153 |
| magnitude | 0.377718 |
| internal validity | 0.652241 |
| Healthy People | 0.604756 |
| sample size | 0.580633 |
| Preventive Services Task | 0.955913 |
| external validity | 0.652646 |
|
| set | 0.346725 |
| publication type | 0.581143 |
| certainty | 0.391325 |
| meaningfulness | 0.410965 |
| control | 0.34649 |
| cervical cancer | 0.673303 |
| quality | 0.347283 |
| subject matter | 0.60505 |
| net benefit | 0.610046 |
| publication status | 0.581725 |
| potential biases | 0.628289 |
| potential confounders | 0.577426 |
| additional effect | 0.708475 |
| effect size | 0.706383 |
| experts | 0.348372 |
| age | 0.355507 |
| dimensions | 0.357453 |
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| 15112 |
Office of Disease Prevention and Health Promotion, Healthy People |
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Securing Health Coverage for Children Through Statewide Partnerships |
In this Who's Leading the Leading Health Indicators? story, we looked at how The Children's Defense Fund-Texas made great strides in insuring children living in Texas. |
| health insurance | 0.788039 |
| Human Services | 0.59541 |
| Healthy Children Campaign | 0.712925 |
| DHH Secretary issues | 0.576428 |
| enrollment forms | 0.5483 |
| uninsured students | 0.545307 |
| National Health Interview | 0.647168 |
| U.S. Department | 0.592946 |
| Health Insurance Program | 0.686406 |
| appropriate insurance program | 0.609813 |
| children | 0.945428 |
| U.S. children | 0.591037 |
| Enrollment Award | 0.540848 |
| Child health coverage | 0.66175 |
| Healthy Start | 0.513535 |
| Texas children | 0.607961 |
| Defense Fund staff | 0.613476 |
| school districts | 0.589645 |
| nonprofit organization | 0.633859 |
| critical issue | 0.519116 |
| enrollment assistance | 0.550158 |
| Summary health statistics | 0.644851 |
| Health insurance coverage | 0.727166 |
| health insurance coverage.2 | 0.698943 |
| Healthy Children | 0.750386 |
|
| Spanish-language media | 0.51451 |
| CHIP families | 0.529552 |
| BAYOU HEALTH architect | 0.632813 |
| Defense Fund-Texas campaign | 0.630145 |
| Children’s Health | 0.708861 |
| great strides | 0.656582 |
| uninsured children | 0.633333 |
| Texas Finish Line | 0.606723 |
| Medicaid Services | 0.661539 |
| enrollment process | 0.543629 |
| Children’s Defense | 0.728886 |
| Texas Association | 0.527965 |
| enrollment events | 0.544833 |
| preventive care | 0.519582 |
| Health Outreach | 0.565732 |
| eligible children | 0.615213 |
| J. Kaiser Family | 0.584957 |
| health coverage | 0.86357 |
| eligible Medicaid | 0.591975 |
| help families | 0.519152 |
| medical coverage | 0.599642 |
| key statewide partners | 0.587993 |
| Vital Health Stat. | 0.63831 |
| minority children | 0.577713 |
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Office of Disease Prevention and Health Promotion, Healthy People |
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NeighborhoodHELP™ Engages Underserved Communities to Increase Health Care Access |
In this Who's Leading the Leading Health Indicators? story, we looked at how the Florida International University Herbert Wertheim College of Medicine incorporated a social determinants of health approach into its medical school education. |
| complex needs | 0.544488 |
| household visits | 0.794866 |
| medical education | 0.534122 |
| large minority population | 0.679734 |
| Human Services | 0.538354 |
| FIU students | 0.62524 |
| utility bill management | 0.535186 |
| social work | 0.538553 |
| social determinants | 0.564039 |
| health outcomes | 0.576561 |
| local communities | 0.540289 |
| legal advice | 0.53489 |
| systemic problems | 0.528309 |
| local resources | 0.53981 |
| pap smears | 0.5431 |
| holistic approach | 0.530288 |
| primary care services | 0.673835 |
| web site | 0.527309 |
| wide variety | 0.533035 |
| Miami-Dade County | 0.923456 |
| Medicaid enrollment | 0.531642 |
| mobile health | 0.58075 |
| community health | 0.567377 |
| public health students | 0.71107 |
| Acuña JM | 0.538938 |
|
| deeper issues | 0.531837 |
| Florida International University | 0.669104 |
| uninsured populations | 0.596583 |
| underserved persons | 0.55483 |
| pilot study | 0.526971 |
| Lozano JM | 0.5454 |
| interdisciplinary teams | 0.535982 |
| South Med J. | 0.636741 |
| Health Education Learning | 0.719845 |
| emergency department usage | 0.627443 |
| program staff | 0.554003 |
| clinical preventive services | 0.656907 |
| health care | 0.596988 |
| medical school graduates | 0.640977 |
| community organizations | 0.5333 |
| blood work | 0.533771 |
| low-income residents | 0.543896 |
| highest rates | 0.549883 |
| Simpson JL | 0.527117 |
| NeighborhoodHELPâ„¢ households | 0.572891 |
| home visitation program | 0.650175 |
| Greer PJ Jr | 0.633238 |
| specific product | 0.52719 |
| NeighborhoodHELPâ„¢ program | 0.576537 |
|
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