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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Agitation among older Chinese with cognitive impairment in long-term care facilities: a multilevel model approach
Kaipeng Wang1, Xiang Gao2, Fei Sun3
1Graduate School of Social Work, University of Denver, Denver, Colorado, United States.
Objectives:
Agitation among older residents with cognitive impairment is a common challenge in long-term care (LTC) facilities. However, systematic investigations into contributing factors of agitation of older Chinese in LTC facilities remain limited. This study examines individual, family, staff, and facility-level factors associated with agitation in older Chinese with cognitive impairment in LTC facilities.
Methods:
We collected individual and family data from 266 older adults with cognitive impairment (Mini-Mental State Examination score <24) and facility staff members across 19 LTC facilities. Data on staff and facility characteristics were ascertained from direct care workers (DCWs) and facility administrators.
Results:
Results of linear mixed-effects models show that higher education levels and poorer psychological adjustment to the facility were associated with a higher level of agitation. In contrast, residents with better cognitive functioning and those who called family members at least once a week exhibited lower agitation. At the facility level, higher average perceived organizational support among DCWs and the presence of at least one DCW with a long-term contract were associated with lower agitation.
Discussion:
These results underscore the complex influence of individual, family, staff, and facility factors on agitation among older Chinese residents. Interventions aimed at strengthening older resident family connections and enhancing DCW support systems may be critical in mitigating agitation and improving the well-being of this population.
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