Suzanne S Sullivan1, Sabrina Casucci2, Chin-Shang Li1. 1. School of Nursing, University at Buffalo, State University of New York, NY, USA. 2. Department of Industrial and Systems Engineering, University at Buffalo, State University of New York, NY, USA.
Abstract
BACKGROUND: Precision health initiatives for end-of-life planning require robust methods for identifying patient risk for decline and mortality. The Outcome and Assessment Information Set (OASIS) surprise question (SQ; M1034 Overall Status) is the primary tool for evaluating risks in homebound older adults. However, the OASIS-D, Released in 2019, eliminates this question. This study examines the prognostic ability of 12- and 24-month mortality risk reflected in the OASIS-SQ and develops an alternative approach for classifying mortality risk to support decision-making in the absence of the OASIS-SQ. DESIGN: Retrospective secondary data analysis. SETTING/PARTICIPANTS: A nationally representative sample of 69 097 OASIS-C assessments (2012) linked to the Master Beneficiary Summary file (2012 and 2013). MEASUREMENTS: Survival analysis, k-means clustering, and Cohen κ coefficient with Z test. RESULTS: The OASIS-SQ predicts mortality (35% at 12 and 45% at 24 months; P < .001). Cluster analysis identified 2 risk groups: OASIS activity of daily living "ADL total scores" >15 = (lower risk) and ≤15 = (higher risk) for 24-month mortality. Model agreement is weak for both cluster 1 and cluster 2, the OASIS-SQ κ = 0.20, 95% confidence interval (CI) = .19 to .21, and "alive/not alive" κ = .17, 95% CI = .16 to .18. CONCLUSION: The OASIS-SQ and "ADL total score" are almost equally likely to predict 24-month mortality; therefore, it was reasonable to use the "ADL total score" as a substitute for the OASIS-SQ. Removal of the OASIS-SQ leaves home care providers with few clear options for risk screening resulting in missed opportunities to refer to palliative or hospice services.
BACKGROUND: Precision health initiatives for end-of-life planning require robust methods for identifying patient risk for decline and mortality. The Outcome and Assessment Information Set (OASIS) surprise question (SQ; M1034 Overall Status) is the primary tool for evaluating risks in homebound older adults. However, the OASIS-D, Released in 2019, eliminates this question. This study examines the prognostic ability of 12- and 24-month mortality risk reflected in the OASIS-SQ and develops an alternative approach for classifying mortality risk to support decision-making in the absence of the OASIS-SQ. DESIGN: Retrospective secondary data analysis. SETTING/PARTICIPANTS: A nationally representative sample of 69 097 OASIS-C assessments (2012) linked to the Master Beneficiary Summary file (2012 and 2013). MEASUREMENTS: Survival analysis, k-means clustering, and Cohen κ coefficient with Z test. RESULTS: The OASIS-SQ predicts mortality (35% at 12 and 45% at 24 months; P < .001). Cluster analysis identified 2 risk groups: OASIS activity of daily living "ADL total scores" >15 = (lower risk) and ≤15 = (higher risk) for 24-month mortality. Model agreement is weak for both cluster 1 and cluster 2, the OASIS-SQ κ = 0.20, 95% confidence interval (CI) = .19 to .21, and "alive/not alive" κ = .17, 95% CI = .16 to .18. CONCLUSION: The OASIS-SQ and "ADL total score" are almost equally likely to predict 24-month mortality; therefore, it was reasonable to use the "ADL total score" as a substitute for the OASIS-SQ. Removal of the OASIS-SQ leaves home care providers with few clear options for risk screening resulting in missed opportunities to refer to palliative or hospice services.
Entities:
Keywords:
care transitions; electronic health record; home care services; hospice and palliative care nursing; nursing informatics; older adults; prognostication; terminal care