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Updated: Jun 27, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Selective optimization with compensation: a model for elder health programming.

Lori J Grove1, Susan J Loeb, Janice Penrod

  • 1School of Nursing, University Park and the Penn State College of Medicine, The Pennsylvania State University, Hershey, PA, USA. LJGROVE@EMBARQMAIL.COM

Clinical Nurse Specialist CNS
|December 23, 2008
PubMed
Summary
This summary is machine-generated.

Clinical nurse specialists (CNS) can enhance senior health by using the Selective Optimization With Compensation (SOC) model in community programs. This approach supports older adults in maintaining independence and quality of life.

Related Experiment Videos

Last Updated: Jun 27, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

  • Gerontology
  • Nursing Science
  • Health Promotion

Background:

  • The aging baby boomer generation increases demand for clinical nurse specialists (CNS) in elder care.
  • Community-based health programming is crucial for managing chronic conditions in seniors.
  • Senior centers are key venues for promoting health and engagement among older adults.

Purpose of the Study:

  • To explore the application of the Selective Optimization With Compensation (SOC) model in senior health programming.
  • To outline how CNSs can utilize the SOC model to optimize health promotion for community-living elders.
  • To provide a framework and example for developing theory-driven health programs for seniors.

Main Methods:

  • Utilizing Baltes and Baltes' theoretical model of Selective Optimization With Compensation (SOC).
  • Infusing the SOC model into the planning and organization of health programming at senior centers.
  • Developing a template and a nutrition-focused program example for SOC-guided interventions.

Main Results:

  • The SOC model offers a promising framework for CNSs to enhance health promotion and self-actualization in elders.
  • Theory-driven programming can aid seniors in maintaining independent functioning, autonomy, and quality of life.
  • The provided template and examples facilitate the development of tailored health programs.

Conclusions:

  • Clinical nurse specialists can effectively leverage the SOC model to address the growing health needs of the aging population.
  • Implementing SOC-guided programs in senior centers empowers older adults to actively participate in their health and well-being.
  • This approach supports a holistic strategy for aging in place and improving the overall quality of life for community-dwelling elders.