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Related Concept Videos

Primary Healthcare Services01:30

Primary Healthcare Services

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Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
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Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
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Preventive Healthcare Services01:30

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Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
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Principles of Disease Surveillance

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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Healthcare Agencies II01:17

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There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
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Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
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Public Health.

Lauren Bojarski1, Cassity High2, Christopher J McLouth1,3

  • 1University of Kentucky College of Medicine Department of Neurology, Lexington, KY, USA.

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|December 23, 2025
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Summary
This summary is machine-generated.

Rurality definitions vary significantly, impacting research on cognitive decline in older adults. Classifications show overlap between HRSA and ADI systems but not with RUCC codes, highlighting the need for careful consideration of each measure.

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Area of Science:

  • Gerontology and Cognitive Health
  • Health Disparities Research
  • Rural Health Studies

Background:

  • Older adults in rural areas face increased risks for cognitive impairment, including mild cognitive impairment and dementia.
  • Rural classification is an NIH-recognized indicator of under-represented group (URG) status, yet lacks a standard research definition.
  • Multiple measures of disadvantage may correlate with rural designation, necessitating an evaluation of their concordance.

Purpose of the Study:

  • To evaluate the concordance between various rurality and socioeconomic disadvantage classification systems.
  • To assess the proportion of a research cohort meeting different definitions of rural or disadvantaged status.
  • To inform the selection and interpretation of rurality measures in research concerning under-represented groups.

Main Methods:

  • A cross-sectional analysis of 790 participants from the University of Kentucky Alzheimer's Disease Research Center Cohort.
  • Identification of participants' addresses to determine classification using Health Resources and Services Administration (HRSA) Rural, Medically Underserved Areas/Health Professional Shortage Areas (MUA/HPSA), Area Deprivation Index (ADI) State Decile and National Percentile, and Rural-Urban Continuum Codes (RUCC).
  • Assessment of the proportion of the cohort meeting each definition and the concordance between classifications.

Main Results:

  • The proportion of the cohort classified as rural or disadvantaged varied from 13% to 27% depending on the measure used.
  • Less than 1% of participants met all five classification criteria, indicating low overlap.
  • HRSA Rural and MUA/HPSA classifications showed significant overlap (19%) and were highly associated with ADI scores, but not RUCC codes. ADI scores were highly associated with each other but not with RUCC codes.

Conclusions:

  • Significant overlap exists between HRSA and ADI classification systems, but not with RUCC codes.
  • The concept of rurality is multifaceted, encompassing various aspects that are not fully captured by any single classification system.
  • Researchers should exercise caution when interpreting or conflating different rurality measures, as each may represent unique dimensions of disadvantage and may not be interchangeable.