Table 1.
Study | Total number of patients | Procedure | Study type | Study purpose | Conclusions | Mentions healthcare disparities? | Mentions preoperative risk factor management? |
Disparities in care for women | |||||||
Cheah et al. [14] | 5,048,371 | THA and TKA | Retrospective study using the NIS | Provide a population-based epidemiologic assessment of preoperative risk factors and gender disparities among patients undergoing TJA | Women present later for TJA, have more comorbidities, more in-hospital complications, and are less likely to be discharged home compared with men. | Yes (gender) | No |
Disparities in care for patients from racial and ethnic minority backgrounds | |||||||
Cusano et al. [18] | 262,954 | TKA | Retrospective study using ACS-NSQIP | Investigated associations between race and ethnicity and procedure utilization, LOS, 30-day readmissions, and postoperative complications | Black race compared with White race was associated with more readmissions, longer LOS, and incidence of any postoperative complication. Hispanic/Latino ethnicity compared with non-Hispanic White patients was associated with longer LOS and incidence of any postoperative complication. | Yes (race and ethnicity) | No |
Sheth et al. [62] | 11,574 | THA | Retrospective study using ACS-NSQIP | Investigated recent trends in procedure utilization, comorbidity profiles, hospital LOS, 30-day mortality, readmissions, and complications, and risk factors for AEs among patients identifying as Black | Between 2011 and 2017, there have been improvements in procedure utilization, comorbidity profiles, and LOS; however, no differences in 30-day mortality, readmissions, or complications. | Yes (race) | Yes, discussed that preoperative management of risk factors is a target for intervention |
Trivedi et al. [70] | 19,496 | TKA | Retrospective study using ACS-NSQIP | Analyzed trends in mortality, LOS, postoperative surgical and medical complications, and readmissions after TKA and developed a preoperative risk stratification model for Black patients undergoing TKA | Overall, there have been improvements in annual trends in LOS, proportion of inpatient stays > 2 days, and postoperative surgical complications for Black patients after TKA. The study also developed a risk stratification nomogram for Black patients. | Yes (race) | Yes, discussed management of risk factors preoperatively such as anemia and tobacco use |
Venugopal et al. [73] | 12,767 | TKA | Retrospective study using ACS-NSQIP | Analyzed trends in utilization, comorbidity profiles, hospital LOS, 30-day mortality, readmissions, and complications among patients identifying as Hispanic/Latino | Between 2011 and 2017, there have been improvements in procedure utilization, comorbidity profiles, and LOS, but the incidence of any postoperative event and inpatient stay > 2 days have increased. | Yes (race and ethnicity) | Yes, discussed that preoperative management of risk factors could be helpful for this patient population |
Disparities in care based on race, gender, comorbidity burden, and insurance type | |||||||
SooHoo et al. [67] | 138,399 | THA | Retrospective study using statewide California data | Studied patient and provider factors that are associated with complications after THA | The authors found that the incidence of 90-day complications after THA, including dislocations and revision surgeries, was associated with treatment at low-volume hospitals, Black race, and patients with more comorbidities. | Yes (race) | No |
Weiner et al. [75] | 41,832 | THA | Retrospective study using Illinois COMPdata administrative database | Investigated patient characteristics associated with LOS and discharge disposition | The authors found that female gender, compared with male gender was associated with LOS > 3 days and nonhome discharge. Black race, compared with White race was associated with LOS > 5 days and nonhome discharge. Medicaid insurance was associated with LOS > 3 days, LOS > 5 days, and nonhome discharge. | Yes (gender, race, and insurance type) | Yes, mentioned that preoperative risk management programs may cause patients to be excluded |
White et al. [76] | 274,851 | THA | Retrospective study using California, Florida, and New York SIDs | Investigated differences in readmission by insurance payer, race or ethnicity, and income | The authors found that Medicaid insurance compared with private insurance, Black race compared with White race, and lower incomes compared with higher incomes are associated with higher readmissions. | Yes (race, income, and insurance type) | Yes, discussion mentioned addressing modifiable risk factors preoperatively |
Disparities in care based on insurance type | |||||||
Maman et al. [47] | 922,819 | TKA | Retrospective study using New York, Florida, Maryland, Kentucky, and California SIDs | Investigated whether insurance type is associated with in-hospital mortality and morbidity after TKA | Medicaid insurance is associated with an increased odds of mortality and complications after TKA. | Yes (insurance type and race) | No |
Veltre et al. [72] | 1,352,505 | TKA | Retrospective study using the NIS | Investigated the association between patient insurance type and in-hospital complications after TKA | The authors found that public insurance (Medicare or Medicaid) is associated with more medical complications and greater mortality; non-White race compared with White race is associated with complications after TKA. | Yes (insurance type and race) | Yes, discussion mentioned that preoperative risk factor management is important to reduce modifiable risk factors before surgery |
Xu et al. [77] | 295,572 | THA | Retrospective study using California, Florida, and New York SIDs | Investigated the relationship between insurance type and in-hospital mortality, postoperative complications, readmissions, and LOS after THA | The authors found that Medicaid insurance compared with private insurance is associated with increased in-hospital mortality, cardiovascular and infectious complications, readmissions, and LOS | Yes (insurance type and race) | No |
Disparities in care, other | |||||||
Holbert et al. [32] | 11,451 | THA and TKA | Retrospective institutional study | Identified associations between living in a medically underserved area and LOS, discharge disposition, readmissions, costs, and ED visits | The authors found that living in a medically underserved area was associated with longer LOS, nonhome discharge, increased costs, and increased ED visits | Yes (medically underserved communities) | Yes, stated that patients were cared for in a coordinated Joint Replacement Center and received preoperative medical evaluations |
NIS = National Inpatient Sample; ACS-NSQIP = American College of Surgeons National Surgical Quality Improvement Program; AEs = adverse events; SID = State Inpatient Database; ED = emergency department.