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Plotting the Course of Well-Being

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  • Frances Wilby
  • Carol DuMond Stryker
  • Denise Hyde
  • Sandy Ransom

Abstract

Persons above age 80 comprise the fastest growing segment of the U.S. population, and it is estimated that one in four will need long-term care due to increased disabilities and illness. A major concern for residents, families, and providers is to ensure care that “allows the resident to maintain or attain their highest practicable physical, mental and psychosocial well-being.†The challenge is measuring a subjective concept such as well-being. The Eden Alternative is a current initiative aimed at improving the quality of life and well-being of long-term care residents. The initiative consists of providing long-term care environments that emphasize person-directed decision making and well-being. The purpose of this study was to explore the psychometric properties of the Eden Alternative Well-Being Assessment Tool (EAWBAT). There are three assessment tools designed to measure the well-being of elders (residents), family members of residents, and employees working in the long-term care environments. The sample consisted of 237 residents, 430 employees, and 134 family members from seven Eden Alternative organizations throughout the United States. Factor analysis was completed to identify the underlying structure in these data for elders, employees, and families. Reliability statistics were computed for each scale. Reliability statistics ranged from .876 (employee assessment tool) to .949 (family assessment tool), indicating the potential of the EAWBAT to measure the well-being of residents residing in long-term care environments, employees supporting them, and their family members.

Suggested Citation

  • Frances Wilby & Carol DuMond Stryker & Denise Hyde & Sandy Ransom, 2016. "Plotting the Course of Well-Being," SAGE Open, , vol. 6(2), pages 21582440166, May.
    • Handle: RePEc:sae:sagope:v:6:y:2016:i:2:p:2158244016646147
    DOI: 10.1177/2158244016646147
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    References listed on IDEAS

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    1. William Pavot & Ed Diener, 1993. "The affective and cognitive context of self-reported measures of subjective well-being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 28(1), pages 1-20, January.
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