Marital Status, Race, Insurance Type, and Socioeconomic Status-Assessment of Social Predictors for Outcomes After Total Knee Arthroplasty
Recommended Citation
Rahman TM, Hennekes M, Mehaidli A, Shaw JH, and Silverton CD. Marital Status, Race, Insurance Type, and Socioeconomic Status-Assessment of Social Predictors for Outcomes After Total Knee Arthroplasty. J Am Acad Orthop Surg 2023; 32(4):169-177.
Document Type
Article
Publication Date
2-15-2024
Publication Title
The Journal of the American Academy of Orthopaedic Surgeons
Abstract
BACKGROUND: The purpose of this study was to investigate the effect of various social determinants of health on outcomes and dispositions after total knee arthroplasty (TKA).
METHODS: A retrospective review was conducted on 14,462 consecutive TKA procedures between 2013 and 2021 at a multicenter hospital system. Data abstraction was done by inquiry to the Michigan Arthroplasty Registry Collaborative Quality Initiative. Data points requested included basic demographics, marital status, race, insurance status, socioeconomic status measured by the Area of Deprivation Index, perioperative course, and incidence of emergency department (ED) visits and readmissions within 3 months of surgery. Subsequent multivariate analyses were conducted.
RESULTS: Unmarried patients required markedly greater lengths of hospital stay and had an increased rate of discharge to skilled nursing facilities and a higher likelihood of any purpose ED visit within 90 days of surgery compared with married patients, who had a significantly greater rate of same-day discharge ( P < 0.001). Race did not markedly correlate with outcomes. Medicare patients showed a greater rate of same-day discharge, nonhome discharge, and 90-day ED visits compared with privately insured patients ( P < 0.001). Medicaid patients were more likely than privately insured patients to have a 90-day ED visit ( P < 0.001). Socioeconomic status had a minimal clinical effect on all studied outcomes.
CONCLUSION: Social factors are important considerations in understanding outcomes after TKA. Additional investigations are indicated in identifying at-risk patients and subsequent optimization of these patients.
Medical Subject Headings
Humans; Aged; United States; Arthroplasty, Replacement, Knee; Medicare; Patient Discharge; Length of Stay; Marital Status; Retrospective Studies; Patient Readmission; Arthroplasty, Replacement, Hip; Risk Factors
PubMed ID
38100772
ePublication
ePub ahead of print
Volume
32
Issue
4
First Page
169
Last Page
177
