Objectives: Elder self-neglect is a global public health problem, and older people admitted to the hospital may have a higher risk of self-neglect due to their deteriorating health conditions. This study aimed to translate, adapt and validate the Abrams geriatric self-neglect assessment scale (AGSS) among older Chinese people admitted to the hospital.

Methods: Data were derived from a cross-sectional survey of a convenience sample of 452 older people admitted to a general hospital. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to examine the structural validity of the AGSS. Content validity, criterion validity, internal consistency reliability, and test-retest reliability were also conducted to assess the psychometric properties of the scale.

Results: EFA yielded a 6-item one-factor model, which was supported by CFA and explained 44.74% of the total variance. The internal consistency was acceptable (Cronbach α = 0.740), and the test-retest reliability with a 14-day interval was good (intraclass correlation coefficient, ICC = 0.966). Significantly positive correlations with the caregiver-rated elder self-neglect assessment scale (r = 0.648) supported the concurrent validity of the scale. Significant differences in scores between respondents with different ages, marital statuses, educational levels and numbers of chronic diseases demonstrated the discriminative validity.

Conclusion: The Chinese version of the AGSS is an easy-to-use, reliable and valid measure with satisfactory psychometric properties. Future studies should recruit a more representative sample of older people in China to verify the applicability of the scale.

Implications For Practice: The Chinese version of the AGSS enables clinical staff to accurately screen for and assess elder self-neglect upon hospital admission, which can inform the development of specific interventions and assignment of additional guardianship to those at risk of elder self-neglect.

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Source
http://dx.doi.org/10.1111/opn.12569DOI Listing

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