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Related Concept Videos

Primary Healthcare Services01:30

Primary Healthcare Services

1.9K
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.
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
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Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

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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.
In primary prevention, actions taken before disease onset prevent the disease from...
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Preventive Healthcare Services01:30

Preventive Healthcare Services

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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 Surveillance01:26

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

Healthcare Agencies II

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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.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
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Methods Of Healthcare Delivery System01:26

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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:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
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Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
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Public Health.

Blossom Cm Stephan1, Jacob Brain2,3, Tanya Buchanan4

  • 1Curtin University, Perth, Western Australia, Australia.

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Summary
This summary is machine-generated.

Two dementia risk prediction models, the Brief Dementia Screening Indicator (BDSI) and Genetic Risk Score-19 (GRS-19), show reasonable predictive accuracy. Further testing is needed before clinical implementation for early dementia risk identification.

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Area of Science:

  • Neurology
  • Gerontology
  • Epidemiology

Background:

  • Global increase in dementia cases necessitates effective prediction tools for early intervention.
  • Over 100 dementia prediction models exist, but none are clinically endorsed, hindering selection.
  • External validation is crucial for assessing the utility and generalizability of dementia prediction models.

Purpose of the Study:

  • To conduct an umbrella review and meta-analysis of externally validated dementia prediction models.
  • To evaluate the predictive performance of existing dementia risk prediction tools.

Main Methods:

  • Synthesized data from three systematic reviews and an updated literature search (up to November 2024).
  • Included population-based cohort studies evaluating externally validated dementia prediction models.
  • Performed meta-analysis for models with external validation in at least 10 independent studies.

Main Results:

  • Three models (BDSI, CAIDE, GRS-19) were externally validated in ≥10 studies, exclusively in high/middle-income countries.
  • BDSI (pooled c-statistic=0.72) and GRS-19 (pooled c-statistic=0.76) demonstrated reasonable predictive accuracy.
  • CAIDE score showed poor accuracy (pooled c-statistic=0.60); heterogeneity was noted due to methodological differences.

Conclusions:

  • Dementia risk prediction models with reasonable external validity could support clinical early risk identification and prevention planning.
  • Further research on clinical impact and cost-effectiveness is needed, especially in diverse and LMIC populations.
  • Optimizing early detection and prevention requires evaluating screening tools in real-world settings.