Abstract
Objective: Our primary objective was to develop a reliable, valid, and efficient screening tool that measures recovery disability among geriatric patients for the Department of Emergency Medicine (ED) Geriatric Readmission Assessments (GRAY).
Methods: We conducted a retrospective medical chart review and prospective data analysis of geriatric patients admitted to hospital from the emergency department that were discharged, admitted, or died at a single academic urban university-affiliated hospital to identify items for ED GRAY. Rasch analysis was then used to reduce items and construct an interval/ratio scale of physical and cognitive disabilities. Patients consisted of a cohort of consenting, non-critically ill, English-speaking adults older than 65 years and receiving care in the ED to reduce the number of items.
Results: Rasch analyses resulted in infit and outfit statistics that eliminated redundant items or items that did not fit a unidimensional disability construct. From the 158 original items, sixteen items comprise the ED GRAY global health questionnaire, representing five sub-constructs: physical disability, cognitive disability, stress, depression, and isolation. All infit and outfit statistics for the global recovery disability score ranging from 1 (least healthy) to 5 (most healthy) were consistent with forming a unidimensional scale.
Conclusions: Our study resulted in an objective measurement tool of physical and cognitive disability using Rasch analyses. This screening tool allows healthcare providers the ability to screen older ED patients on a continuum of risk, with high-risk patients being most likely to benefit from in-depth evaluation—e.g., comprehensive geriatric assessment—followed by intervention (when necessary).
Methods: We conducted a retrospective medical chart review and prospective data analysis of geriatric patients admitted to hospital from the emergency department that were discharged, admitted, or died at a single academic urban university-affiliated hospital to identify items for ED GRAY. Rasch analysis was then used to reduce items and construct an interval/ratio scale of physical and cognitive disabilities. Patients consisted of a cohort of consenting, non-critically ill, English-speaking adults older than 65 years and receiving care in the ED to reduce the number of items.
Results: Rasch analyses resulted in infit and outfit statistics that eliminated redundant items or items that did not fit a unidimensional disability construct. From the 158 original items, sixteen items comprise the ED GRAY global health questionnaire, representing five sub-constructs: physical disability, cognitive disability, stress, depression, and isolation. All infit and outfit statistics for the global recovery disability score ranging from 1 (least healthy) to 5 (most healthy) were consistent with forming a unidimensional scale.
Conclusions: Our study resulted in an objective measurement tool of physical and cognitive disability using Rasch analyses. This screening tool allows healthcare providers the ability to screen older ED patients on a continuum of risk, with high-risk patients being most likely to benefit from in-depth evaluation—e.g., comprehensive geriatric assessment—followed by intervention (when necessary).
Original language | English (US) |
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Pages (from-to) | 1-14 |
Number of pages | 14 |
Journal | British Journal of Medicine & Medical Research |
Volume | 14 |
Issue number | 1 |
State | Published - Feb 26 2016 |