Variation in COVID-19 Length of Stay Due to Social Factors in the US – Estimation Using Integration of CDC/ATSDR's Social Vulnerability Index (SVI) and Healthcare Claims Data
Author(s)
Nayyar A1, Raj U1, Rastogi M1, Daral S1, Verma V2, Gaur A1, Kukreja I3, Pandey S1, Chopra A1, Roy A1, Sethi A1, Dawar V1
1Optum, Gurugram, HR, India, 2Optum, Gurgaon, HR, India, 3Optum, New Delhi, DL, India
OBJECTIVES: This study explored the variation in COVID-19 related average length of stay by Social Vulnerability Index (SVI) of patients in the US
METHODS: This study included patients diagnosed with COVID-19 infection between 1st March 2020 to 28th Feb 2021 with ICD-10-CM recorded in Optum’s de-identified Clinformatics® Data Mart Database. Only the patients having continuous eligibility of 3-months post (follow-up period) the first diagnosis of COVID-19 (index date) were included in the study. Zip code (if available) closest to the COVID-19 diagnosis index of those patients were joined with the Minority Health SVI (mhSVI) file to map patients’ SVI score ranging from 0 to 1. We have estimated the average length of stay across the four patient groups, categorized based on SVI score (Group 1 (least vulnerable): 0-0.25; Group 2: 0.251-50; Group 3: 0.501-.75; Group 4 (highly vulnerable): 0.751-1) and have applied the Wilcoxon statistical test to analyze the level of significance in cost variation across the four SVI groups. Further, we will also be looking at the region-wise trends in length of stay across the four groups.
RESULTS: Among 120,501 patients diagnosed with COVID-19, we were able to map the SVI score for 98% of patients. We observed a significant longer length of stay for patients as we moved from group 1 (8.5 days) to group 4 (9.7 days). The estimated length of hospitalization significantly increased by 8%, 9%, and 13% respectively from group 2 to group 4 when compared to group 1.
CONCLUSIONS: Vulnerable patients had more impact of COVID-19 as compared to less vulnerable group. Significant variation in length of stay might be correlated with difficult access to healthcare, severe COVID-19 presentation, and more co-morbid conditions. This study helps to determine the gaps in healthcare resource allocation as well as supports planning and preparedness for pandemic.
Conference/Value in Health Info
Value in Health, Volume 25, Issue 12S (December 2022)
Code
RWD98
Topic
Clinical Outcomes, Real World Data & Information Systems
Topic Subcategory
Clinical Outcomes Assessment, Health & Insurance Records Systems
Disease
SDC: Infectious Disease (non-vaccine)