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Clinimetric Properties of the "FIND-NEEDS" to Screen Geriatric Conditions. | LitMetric

AI Article Synopsis

  • The FIND-NEEDS screening tool was developed to quickly identify common geriatric conditions, aiming to simplify the comprehensive geriatric assessment (CGA) process, which is typically time-consuming and labor-intensive.
  • In a study with 114 participants aged 65 and older, FIND-NEEDS was evaluated against CGA for validity, revealing strong correlations and excellent sensitivity and specificity.
  • The results suggest that FIND-NEEDS is a reliable and efficient tool for assessing health needs in older adults, potentially streamlining healthcare evaluations in geriatric settings.

Article Abstract

Introduction: Comprehensive geriatric assessment (CGA) is used to thoroughly assess and identify complex healthcare problems among older adults. However, administration of CGA is time-consuming and labor intensive. A simple screening tool with the mnemonic "FIND-NEEDS" was developed to quickly identify common geriatric conditions. The present study was to evaluate the clinimetric properties of the FIND-NEEDS.

Methods: The participants comprised first-visiting older adults aged 65 years and above (and who were able to communicate by themselves or with the help of a caregiver) who were assessed (October to December, 2021) using the FIND-NEEDS and CGA at geriatric outpatient clinics of a tertiary, referred medical center. The FIND-NEEDS was examined for its criterion-related validity and compared with the CGA results. Two types of scoring (summed score and binary score) of FIND-NEEDS and CGA were analyzed using Spearman correlation, sensitivity and specificity, and area under receiver operating characteristic curve (AUC).

Results: The mean age of the 114 outpatients was 78.3 ± 7.6 years, and 79 (69.3%) were female. The internal consistency was excellent when using all FIND-NEEDS items, and was acceptable when using domain scores. Exploratory factor analysis showed that most of the FIND-NEEDS domain scores had factor loadings higher than 0.3. Intercorrelations of binary scores between domains of FIND-NEEDS and CGA showed most domains were moderately correlated. The overall correlation of summed scores between FIND-NEEDS and CGA was high. The FIND-NEEDS summed score was moderately correlated with CGA score (r = 0.494; p < 0.001), and the binary score showed excellent correlation (r = 0.944; p < 0.001). When using the CGA score as the gold standard, the FIND-NEEDS showed excellent AUC (0.950), sensitivity (1.00), and specificity (0.90).

Discussion/conclusion: The present study demonstrated that the FIND-NEEDS had acceptable clinimetric properties to screen for geriatric problems among older adults. Further in-depth assessment and care plan can then be conducted afterwards.

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Source
http://dx.doi.org/10.1159/000539261DOI Listing

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