Faculty, Staff and Student Publications
Language
English
Publication Date
8-1-2024
Journal
Journal of Surgical Research
DOI
PMC11837767
PMID
38875950
PMCID
PMC11837767
PubMedCentral® Posted Date
2-19-2025
PubMedCentral® Full Text Version
Post-print
Abstract
Introduction: Veterans Affairs Surgical Quality Improvement Program (VASQIP) benchmarking algorithms helped the Veterans Health Administration (VHA) reduce postoperative mortality. Despite calls to consider social risk factors, these algorithms do not adjust for social determinants of health (SDoH) or account for services fragmented between the VHA and the private sector. This investigation examines how the addition of SDoH change model performance and quantifies associations between SDoH and 30-d postoperative mortality.
Methods: VASQIP (2013-2019) cohort study in patients ≥65 y old with 2-30-d inpatient stays. VASQIP was linked to other VHA and Medicare/Medicaid data. 30-d postoperative mortality was examined using multivariable logistic regression models, adjusting first for clinical variables, then adding SDoH.
Results: In adjusted analyses of 93,644 inpatient cases (97.7% male, 79.7% non-Hispanic White), higher proportions of non-veterans affairs care (adjusted odds ratio [aOR] = 1.02, 95% CI = 1.01-1.04) and living in highly deprived areas (aOR = 1.15, 95% CI = 1.02-1.29) were associated with increased postoperative mortality. Black race (aOR = 0.77, CI = 0.68-0.88) and rurality (aOR = 0.87, CI = 0.79-0.96) were associated with lower postoperative mortality. Adding SDoH to models with only clinical variables did not improve discrimination (c = 0.836 versus c = 0.835).
Conclusions: Postoperative mortality is worse among Veterans receiving more health care outside the VA and living in highly deprived neighborhoods. However, adjusting for SDoH is unlikely to improve existing mortality-benchmarking models. Reduction efforts for postoperative mortality could focus on alleviating care fragmentation and designing care pathways that consider area deprivation. The adjusted survival advantage for rural and Black Veterans may be of interest to private sector hospitals as they attempt to alleviate enduring health-care disparities.
Keywords
Humans, Aged, Male, Social Determinants of Health, Female, United States, Aged, 80 and over, Veterans, United States Department of Veterans Affairs, Risk Factors, Quality Improvement, Postoperative Complications, Area deprivation, Care fragmentation, Risk prediction modeling, Rurality, Surgical outcomes
Published Open-Access
yes
Recommended Citation
Duncan, Carly A; Jacobs, Michael A; Gao, Yubo; et al., "Care Fragmentation, Social Determinants of Health, and Postoperative Mortality in Older Veterans" (2024). Faculty, Staff and Student Publications. 5902.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/5902
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Oncology Commons