Social determinants of health in total knee arthroplasty : are social factors associated with increased 30-day post-discharge cost of care and length of stay?

Socioeconomic area deprivation index is not associated with postoperative complications following revision total hip and knee joint arthroplasty

Introduction

Revision hip and knee total joint arthroplasty (TJA) carries a high burden of postoperative complications, including surgical site infections (SSI), venous thromboembolism (VTE), reoperation, and readmission, which negatively affect postoperative outcomes and patient satisfaction. Socioeconomic area-level composite indices such as the area deprivation index (ADI) are increasingly important measures of social determinants of health (SDoH). This study aims to determine the potential association between ADI and SSI, VTE, reoperation, and readmission occurrence 90 days following revision TJA.

Methods

1047 consecutive revision TJA patients were retrospectively reviewed. Complications, including SSI, VTE, reoperation, and readmission, were combined into one dependent variable. ADI rankings were extracted using residential zip codes and categorized into quartiles. Univariate and multivariate logistic regressions were performed to analyze the association of ADI as an independent factor for complication following revision TJA.

Results

Depression (p = 0.034) and high ASA score (p < 0.001) were associated with higher odds of a combined complication postoperatively on univariate logistic regression. ADI was not associated with the occurrence of any of the complications recorded following surgery (p = 0.092). ASA remained an independent risk factor for developing postoperative complications on multivariate analysis.

Conclusion

An ASA score of 3 or higher was significantly associated with higher odds of developing postoperative complications. Our findings suggest that ADI alone may not be a sufficient tool for predicting postoperative outcomes following revision TJA, and other area-level indices should be further investigated as potential markers of social determinants of health.

Impacts of neighborhood deprivation on septic and aseptic revision total knee arthroplasty outcomes: A comprehensive analysis using the area deprivation index

BACKGROUND

Community deprivation has been linked to poor health outcomes following primary total knee arthroplasty (pTKA), but few studies have explored revision TKA (rTKA). The present study analyzed implications of neighborhood deprivation on rTKA outcomes by characterizing relationships between Area Deprivation Index (ADI) and (1) non-home discharge disposition (DD), (2) hospital length of stay (LOS), (3) 90-day emergency department (ED) visits, (4) 90-day hospital readmissions, and (5) the effect of race on these healthcare outcomes.

METHODS

A total of 1,434 patients who underwent rTKA between January 2016 and June 2022 were analyzed. Associations between the ADI and postoperative healthcare resource utilization outcomes were evaluated using multivariate logistic regression. Mediation effect was estimated using a nonparametric bootstrap resampling method.

RESULTS

Greater ADI was associated with non-home DD (p < 0.001), LOS ≥ 3 days (p < 0.001), 90-day ED visits (p = 0.015), and 90-day hospital readmission (p = 0.002). Although there was no significant difference in ADI between septic and aseptic patients, septic patients undergoing rTKA were more likely to experience non-home discharge (p < 0.001), prolonged LOS (p < 0.001), and 90-day hospital readmission (p = 0.001). The effect of race on non-home DD was found to be mediated via ADI (p = 0.038). Similarly, results showed the effect of race on prolonged LOS was mediated via ADI (p = 0.01).

CONCLUSION

A higher ADI was associated with non-home discharge, prolonged LOS, 90-day ED visits, and 90-day hospital readmissions. The impacts of patient race on both non-home discharge and prolonged LOS were mediated by ADI. This index allows clinicians to better understand and address disparities in rTKA outcomes.

Socioeconomic Indices Are Associated With Increased Resource Utilization, But Not 90-Day Complications Following Total Hip and Knee Arthroplasty

INTRODUCTION

Socioeconomic disadvantage has been associated with negative outcomes following total hip (THA) and knee arthroplasty (TKA). The Area Deprivation Index (ADI) and Distressed Community Index (DCI) are composite rankings that score socioeconomic status (SES) using patients' home addresses. The purpose of this study was to examine the association of ADI and DCI with outcomes following THA and TKA while controlling for potential confounding covariates.

METHODS

A series of 4,146 consecutive patients undergoing primary THA and TKA between January 2018 and May 2023 were queried from our institutional total joint registry. The 90-day medical and surgical complications and resource utilization were collected. The ADI and DCI scores were obtained for each patient, and the association between these scores and postoperative outcomes was analyzed.

RESULTS

The ADI and DCI were both associated with patient age, sex, race, comorbidity burden, and smoking status. After controlling for these variables, higher ADI and DCI scores were associated with increased length of stay (P = 0.003 and P = 0.008, respectively), but were not associated with the occurrence of any 90-day complication, reoperation, or revision.

CONCLUSION

The SES, as quantified by ADI and DCI, was associated with multiple known risk factors for complications following THA and TKA, but was not independently associated with complications, reoperations, or revision surgeries at 90 days postoperatively. While convenient metrics for the quantification of SES, in some populations, ADI and DCI may not be independently associated with detrimental outcomes following THA and TKA.

The Utility of the Social Vulnerability Index as a Proxy for Social Disparities Following Total Knee Arthroplasty

BACKGROUND

In 2021, alternative payment models accounted for 40% of traditional Medicare reimbursements. As such, we sought to examine health disparities through a standardized categorization of social disparity using the social vulnerability index (SVI). We examined (1) risk factors for SVI ≥ 0.50, (2) incidences of complications, and (3) risk factors for total complications between patients who have SVI < 0.50 and SVI ≥ 0.50 who had a total knee arthroplasty (TKA).

METHODS

Patients who underwent TKA between January 1, 2022 and December 31, 2022 were identified in the state of Maryland. A total of 4,952 patients who had complete social determinants of health data were included. Patients were divided into 2 cohorts according to SVI: < 0.50 (n = 2,431) and ≥ 0.50 (n = 2,521) based on the national mean SVI of 0.50. The SVI identifies communities that may need support caused by external stresses on human health based on 4 themed scores: socioeconomic status, household composition and disability, minority status and language, and housing and transportation. The SVI theme of household composition and disability encompassed patients aged 65 years and more, patients aged 17 years and less, civilians who have a disability, single-parent households, and English language deficiencies. The higher the SVI, the more social vulnerability or resources are needed to thrive in a geographic area.

RESULTS

When controlling for risk factors and patient comorbidities, the theme of household composition and disability (odds ratio 2.0, 95% confidence interval 1.1 to 5.0, P = .03) was the only independent risk factor for total complications. Patients who had an SVI ≥0.50 were more likely to be women (65.8% versus 61.0%, P < .001), Black (34.4% versus 12.9%, P < .001), and have a median household income < $87,999 (21.3% versus 10.2%, P < .001) in comparison to the patients who had an SVI < 0.50, respectively.

CONCLUSIONS

The SVI theme of household composition and disability, encompassing patients aged 65 years and more, patients aged 17 years and less, civilians who have a disability, single-parent households, and English language deficiencies, were independent risk factors for total complications following TKA. Together, these findings offer opportunities for interventions with selected patients to address social disparities.

How do we treat our male and female patients? - A primer on gender-based health care inequities

Health is a fundamental human right, yet disparities in healthcare, based on gender, persist for women. These inequities stem from a patriarchal society that has regarded men as the default standard, leading to women being treated merely as smaller men. Contributing to these disparities are the gender stereotypes that pervade our society. Women possess differences in anatomy, physiology, psychology and social experience than men. To achieve health equity, it is vital to understand and be open to consider and evaluate these aspects in each individual patient. This requires an understanding of our own biases and a commitment to valuing diversity in both patient and caregiver. Improving equity and diversity throughout all aspects of the medical system will be necessary to provide optimal patient care for all.

Addressing social determinants of health in orthopaedics: A systematic review of strategies and solutions

BACKGROUND

Barriers stemming from Social Determinants of Health (SDOH) are known to contribute to higher rates of complications, poor patient adherence to treatment plans, and suboptimal outcomes following orthopaedic care. While SDOH's impact has been characterized, interventions to address SDOH-related inequities in orthopaedics have not yet been optimized.

PURPOSE

The objective of the present systematic review was to identify and synthesize current peer-reviewed literature focused interventions to address SDOH-related inequities to develop optimal mitigation strategies that improve outcomes for orthopaedic patients.

METHODS

A systematic search of PubMed, OVID, and CINAHL identified articles that referenced SDOH and an intervention to address inequities.

RESULTS

After screening 419 studies, 19 met inclusion criteria. Studies commonly looked at the impact of insurance policy change on the rate of the population with active insurance and associated use of elective surgery. Nine studies found that policy changes generally increased the rate of insured patients, though inequities remained for younger and racial minority patients. The relative paucity of literature in conjunction with methodological differences among studies highlights the need for further development and validation of effective interventions to address SDOH-related inequities in orthopaedics.

CONCLUSIONS

Insurance expansion was the focus of the majority of included articles, finding that expansion is associated with higher rates of insured patients undergoing elective and emergent procedures, however, gaps remain for young patients and racial minorities. Further research is needed to determine effective healthcare team, healthcare system, and policy-level interventions that overcome SDOH-related barriers to optimal care and outcomes for orthopaedic patients.

LEVEL OF EVIDENCE

Level-II.

Assessing social disparities in inpatient vs. outpatient arthroplasty: a in-state database analysis

INTRODUCTION

Given the growing emphasis on patient outcomes, including postoperative complications, in total joint arthroplasty (TJA), investigating the rise of outpatient arthroplasty is warranted. Concerns exist over the safety of discharging patients home on the same day due to increased readmission and complication rates. However, psychological benefits and lower costs provide an incentive for outpatient arthroplasty. The influence of social determinants of health disparities on outpatient arthroplasty remains unexplored. One metric that assesses social disparities, including the following individual components: socioeconomic status, household composition, minority status, and housing and transportation, is the Social Vulnerability Index (SVI). As such, we aimed to compare: (1) mean overall SVI and mean SVI for each component and (2) risk factors for total complications between patients undergoing inpatient and outpatient arthroplasty.

METHODS

Patients who underwent TJA between January 1, 2022 and December 31, 2022 were identified. Data were drawn from the Maryland State Inpatient Database (SID). A total of 7817 patients had TJA within this time period. Patients were divided into inpatient arthroplasty (n = 1429) and outpatient arthroplasty (n = 6338). The mean SVI was compared between inpatient and outpatient procedures for each themed score. The SVI identifies communities that may need support cause by external stresses on human health based on four themed scores: socioeconomic status; household composition and disability; minority status and language; and housing and transportation. The SVI uses the United States Census data to rank census tracts for each individual theme, as well as an overall social vulnerability score. The higher the SVI, the more social vulnerability, or resources needed to thrive in that area. Multivariate logistic regression analyses were performed to identify independent risk factors for total complications following TJA after controlling for risk factors and patient comorbidities. Total complications included: infection, aseptic loosening, dislocation, arthrofibrosis, mechanical complication, pain, and periprosthetic fracture.

RESULTS

Patients who had inpatient arthroplasty had higher overall SVI scores (0.45 vs. 0.42, P < 0.001). The SVI scores were higher for patients who had inpatient arthroplasty for socioeconomic status (0.36 vs. 0.32, P < 0.001), minority status and language (0.76 vs. 0.74, P < 0.001), and housing and transportation (0.53 vs. 0.50, P < 0.001) compared to outpatient arthroplasty, respectively. There was no difference between inpatient and outpatient arthroplasty for household composition and disability (0.41 vs. 0.41, P = 0.99). When controlling for comorbidities, inpatient arthroplasty [Odds Ratio (OR) 1.91, 95% Confidence Interval (CI) 1.23-2.95, P = 0.004], hypertension (OR 2.11, 95% CI 1.23-3.62, P = 0.007), and housing and transportation (OR 2.00, 95% CI 1.17-3.42, P = 0.012) were independent risk factors for total complications.

CONCLUSION

Inpatient arthroplasty was associated with increased social disparities across several components of deprivation as well as an independent risk factor total complications following TJA. To the best of our knowledge, this study is the first to examine the negative repercussions of inpatient arthroplasty through the lens of social disparities and can target specific areas for intervention.

Are social determinants of health associated with an increased length of hospitalization after revision total hip and knee arthroplasty? A comparison study of social deprivation indices

INTRODUCTION

Length of stay (LOS) has been extensively assessed as a marker for healthcare utilization, functional outcomes, and cost of care for patients undergoing arthroplasty. The notable patient-to-patient variation in LOS following revision hip and knee total joint arthroplasty (TJA) suggests a potential opportunity to reduce preventable discharge delays. Previous studies investigated the impact of social determinants of health (SDoH) on orthopaedic conditions and outcomes using deprivation indices with inconsistent findings. The aim of the study is to compare the association of three publicly available national indices of social deprivation with prolonged LOS in revision TJA patients.

MATERIALS AND METHODS

1,047 consecutive patients who underwent a revision TJA were included in this retrospective study. Patient demographics, comorbidities, and behavioral characteristics were extracted. Area deprivation index (ADI), social deprivation index (SDI), and social vulnerability index (SVI) were recorded for each patient, following which univariate and multivariate logistic regression analyses were performed to determine the relationship between deprivation measures and prolonged LOS (greater than five days postoperatively).

RESULTS

193 patients had a prolonged LOS following surgery. Categorical ADI was significantly associated with prolonged LOS following surgery (OR = 2.14; 95% CI = 1.30-3.54; p = 0.003). No association with LOS was found using SDI and SVI. When accounting for other covariates, only ASA scores (ORrange=3.43-3.45; p < 0.001) and age (ORrange=1.00-1.03; prange=0.025-0.049) were independently associated with prolonged LOS.

CONCLUSION

The varying relationship observed between the length of stay and socioeconomic markers in this study indicates that the selection of a deprivation index could significantly impact the outcomes when investigating the association between socioeconomic deprivation and clinical outcomes. These results suggest that ADI is a potential metric of social determinants of health that is applicable both clinically and in future policies related to hospital stays including bundled payment plan following revision TJA.

Lower Income and Nonheterosexual Orientation Are Associated With Poor Access to Care in Patients With Knee Osteoarthritis

Background

Social determinants of health are implicated in the experience of knee osteoarthritis, a key component of which is access to care and healthcare utilization. The objective of this study was to describe difficulties in access to care and healthcare utilization in the United States knee osteoarthritis population.

Methods

The publicly available All of Us Database was utilized to conduct a retrospective cohort study. Patients with a diagnosis of knee osteoarthritis were included and matched to a control group who did not have knee osteoarthritis. The association of knee osteoarthritis and patient-specific demographic features with self-reported domains of access to care was analyzed.

Results

Among 15,718 patients with knee osteoarthritis, 27.6% reported delayed care (n = 4343), 25.6% reported inability to afford care (n = 4015), 12.8% reported skipped medications (n = 2011), and 1.6% reported not seeing a healthcare provider in over 1 year (n = 247). Patients with knee osteoarthritis were more likely to be unable to afford care (odds ratio 1.21, P < .001) or skip medications (odds ratio 1.12, P = .004) in comparison to matched patients without knee osteoarthritis. Among the knee osteoarthritis cohort, low income and nonheterosexual orientation were both associated with increased rates of delayed care and an inability to afford care.

Conclusions

Patients with knee osteoarthritis report significant challenges with delayed care, affordability of care, and medication adherence. Among patients with knee osteoarthritis, patients who are younger age, female sex, low-income, low-education, nonheterosexual orientation, or have poor physical and mental health are at increased risk of having decreased access to treatment.

Neighborhood socioeconomic disadvantages associated with prolonged length of stay and non-home discharge following revision total hip and knee joint arthroplasty

Background

Discharge disposition and length of stay (LOS) are widely recognized markers of healthcare utilization patterns of total hip and knee joint arthroplasty (TJA). These markers are commonly associated with increased postoperative complications, patient dissatisfaction, and higher costs. Area deprivation index (ADI) has been validated as a composite metric of neighborhood-level disadvantage. This study aims to determine the potential association between ADI and discharge disposition or extended LOS following revision TJA.

Methods

This study conducted a retrospective analysis of a consecutive series of revision hip and knee TJA patients from a single tertiary institution. Univariate and multivariate regression analysis was used to determine the association between ADI and discharge disposition or LOS, adjusting for patient demographics and comorbidities.

Results

1047 consecutive revision TJA patients were identified across 463 different neighborhoods. 193 (18.4 %) had an extended LOS, and 334 (31.9 %) were discharged to non-home facilities. Compared with Q1 (least deprived cohort), Q2 (odds ratio [OR] = 1.63; p = 0.030) and Q4 (most deprived cohort: OR = 2.04; p = 0.002) cohorts demonstrated higher odds of non-home discharge. Patients in the highest ADI quartile (most deprived cohort) were associated with increased odds of prolonged LOS following revision TJA compared to those in the lowest ADI quartile (OR = 2.63; p < 0.001).

Conclusion

This study suggests that higher levels of neighborhood-level disadvantage may be associated with higher odds of non-home discharge and prolonged LOS following revision TJA. Development of interventions based on the area deprivation index may improve discharge planning and reduce unnecessary non-home discharges in patients living in areas of socioeconomic deprivation.

Are There Racial and Ethnic Disparities in Management and Outcomes of Surgically Treated Distal Radius Fractures?

BACKGROUND

Racial/ethnic disparities have been demonstrated across multiple orthopedic sub-specialties. There is a paucity of literature examining disparities in distal radius fracture (DRF) management.

METHODS

Using the National Surgical Quality Improvement Program database, we analyzed 15 559 non-Hispanic (NH) White, NH Black, NH Asian, and Hispanic adults who underwent open reduction and internal fixation for DRF from 2013 to 2019. We evaluated time from hospital admission to surgery and length of stay using Poisson regression. Deep venous thrombosis, pulmonary embolism (PE), and wound complications were reported using descriptive statistics. Thirty-day reoperation and readmission were analyzed using binary logistic regression.

RESULTS

Wait time to surgery was longer for Hispanic patients than NH White patients (incidence rate ratio [IRR]: 2.54, P < .001); this narrowed over time (IRR: 0.944, P = .047). Length of stay was longer for NH Black (IRR: 1.78, P < .001) and Hispanic patients (IRR: 1.83, P < .001), but shorter for NH Asian (IRR: 0.715, P = .019) than NH White patients; this temporally narrowed for NH Black patients (IRR: 0.908, P = .001). Deep venous thrombosis, PE, and wound complications occurred at a rate less than 0.30% across all groups. Hispanic patients were less likely to undergo reoperation than NH White patients (odds ratio [OR]: 0.254, P = .003). While there was no difference in readmission between groups in the aggregated study period, NH Black patients experienced a temporal increase in readmissions relative to NH White patients (OR: 1.40, P = .038).

CONCLUSIONS

Racial and ethnic disparities exist in DRF management. Further investigation on causes for and solutions to combat these disparities in DRF care may help improve the inequities observed.

Are Commonly Used Geographically Based Social Determinant of Health Indices in Orthopaedic Surgery Research Correlated With Each Other and With PROMIS Global-10 Physical and Mental Health Scores?

BACKGROUND

Geographically based social determinants of health (SDoH) measures are useful in research and policy aimed at addressing health disparities. In the United States, the Area Deprivation Index (ADI), Neighborhood Stress Score (NSS), and Social Vulnerability Index (SVI) are frequently used, but often without a clear reason as to why one is chosen over another. There is limited evidence about how strongly correlated these geographically based SDoH measures are with one another. Further, there is a paucity of research examining their relationship with patient-reported outcome measures (PROMs) in orthopaedic patients. Such insights are important in order to determine whether comparisons of policies and care programs using different geographically based SDoH indices to address health disparities in orthopaedic surgery are appropriate.

QUESTIONS/PURPOSES

Among new patients seeking care at an orthopaedic surgery clinic, (1) what is the correlation of the NSS, ADI, and SVI with one another? (2) What is the correlation of Patient-Reported Outcomes Measurement Information System (PROMIS) Global-10 physical and mental health scores and the NSS, ADI, and SVI? (3) Which geographically based SDoH index or indices are associated with presenting PROMIS Global-10 physical and mental health scores when accounting for common patient-level sociodemographic factors?

METHODS

New adult orthopaedic patient encounters at clinic sites affiliated with a tertiary referral academic medical center between 2016 and 2021 were identified, and the ADI, NSS, and SVI were determined. Patients also completed the PROMIS Global-10 questionnaire as part of routine care. Overall, a total of 75,335 new patient visits were noted. Of these, 62% (46,966 of 75,335) of new patient visits were excluded because of missing PROMIS Global-10 physical and mental health scores. An additional 2.2% of patients (1685 of 75,335) were excluded because they were missing at least one SDoH index at the time of their visit (for example, if a patient only had a Post Office box listed, the SDoH index could not be determined). This left 35% of the eligible new patient visits (26,684 of 75,335) in our final sample. Though only 35% of possible new patient visits were included, the diversity of these individuals across numerous characteristics and the wide range of sociodemographic status-as measured by the SDoH indices-among included patients supports the generalizability of our sample. The mean age of patients in our sample was 55 ± 18 years and a slight majority were women (54% [14,366 of 26,684]). Among the sample, 16% (4381of 26,684) of patients were of non-White race. The mean PROMIS Global-10 physical and mental health scores were 43.4 ± 9.4 and 49.7 ± 10.1, respectively. Spearman correlation coefficients were calculated among the three SDoH indices and between each SDoH index and PROMIS Global-10 physical and mental health scores. In addition, regression analysis was used to assess the association of each SDoH index with presenting functional and mental health, accounting for key patient characteristics. The strength of the association between each SDoH index and PROMIS Global-10 physical and mental health scores was determined using partial r-squared values. Significance was set at p < 0.05.

RESULTS

There was a poor correlation between the ADI and the NSS (ρ = 0.34; p < 0.001). There were good correlations between the ADI and SVI (ρ = 0.43; p < 0.001) and between the NSS and SVI (ρ = 0.59; p < 0.001). There was a poor correlation between the PROMIS Global-10 physical health and NSS (ρ = -0.14; p < 0.001), ADI (ρ = -0.24; p < 0.001), and SVI (ρ = -0.17; p < 0.001). There was a poor correlation between PROMIS Global-10 mental health and NSS (ρ = -0.13; p < 0.001), ADI (ρ = -0.22; p < 0.001), and SVI (ρ = -0.17; p < 0.001). When accounting for key sociodemographic factors, the ADI demonstrated the largest association with presenting physical health (regression coefficient: -0.13 [95% CI -0.14 to -0.12]; p < 0.001) and mental health (regression coefficient: -0.13 [95% CI -0.14 to -0.12]; p < 0.001), as confirmed by the partial r-squared values for each SDoH index (physical health: ADI 0.04 versus SVI 0.02 versus NSS 0.01; mental health: ADI 0.04 versus SVI 0.02 versus NSS 0.01). This finding means that as social deprivation increases, physical and mental health scores decrease, representing poorer health. For further context, an increase in ADI score by approximately 36 and 39 suggests a clinically meaningful (determined using distribution-based minimum clinically important difference estimates of one-half SD of each PROMIS score) worsening of physical and mental health, respectively.

CONCLUSION

Orthopaedic surgeons, policy makers, and other stakeholders looking to address SDoH factors to help alleviate disparities in musculoskeletal care should try to avoid interchanging the ADI, SVI, and NSS. Because the ADI has the largest association between any of the geographically based SDoH indices and presenting physical and mental health, it may allow for easier clinical and policy application.

CLINICAL RELEVANCE

We suggest using the ADI as the geographically based SDoH index in orthopaedic surgery in the United States. Further, we caution against comparing findings in one study that use one geographically based SDoH index to another study's findings that incorporates another geographically based SDoH index. Although the general findings may be the same, the strength of association and clinical relevance could differ and have policy ramifications that are not otherwise appreciated; however, the degree to which this may be true is an area for future inquiry.

Social vulnerability adversely affects emergency-department utilization but not patient-reported outcomes after total joint arthroplasty

INTRODUCTION

Multiple studies demonstrate social deprivation is associated with inferior outcomes after total hip (THA) and total knee (TKA) arthroplasty; its effect on patient-reported outcomes is debated. The primary objective of this study evaluated the relationship between social vulnerability and the PROMIS-PF measure in patients undergoing THA and TKA. A secondary aim compared social vulnerability between patients who required increased resource utilization or experienced complications and those who didn't.

MATERIALS AND METHODS

A retrospective review of 537 patients from March 2020 to February 2022 was performed. The Centers for Disease Control Social Vulnerability Index (SVI) were used to quantify socioeconomic disadvantage. The cohort was split into THA and TKA populations; univariate and multivariate analyses were performed to evaluate primary and secondary outcomes. Statistical significance was assessed at p < 0.05.

RESULTS

48.6% of patients achieved PROMIS-PF MCID at 1-year postoperatively. Higher levels of overall social vulnerability (0.40 vs. 0.28, p = 0.03) were observed in TKA patients returning to the ED within 90-days of discharge. Increased overall SVI (OR = 9.18, p = 0.027) and household characteristics SVI (OR = 9.57, p = 0.015) were independent risk factors for 90-day ED returns after TKA. In THA patients, increased vulnerability in the household type and transportation dimension was observed in patients requiring 90-day ED returns (0.51 vs. 0.37, p = 0.04).

CONCLUSION

Despite an increased risk for 90-day ED returns, patients with increased social vulnerability still obtain good 1-year functional outcomes. Initiatives seeking to mitigate the effect of social deprivation on TJA outcomes should aim to provide safe alternatives to ED care during early recovery.

The Utility of the Area Deprivation Index in Assessing Complications After Total Joint Arthroplasty

Background

Vulnerable populations, including patients from a lower socioeconomic status, are at an increased risk for infection, revision surgery, mortality, and complications after total joint arthroplasty (TJA). An effective metric to quantify and compare these populations has not yet been established in the literature. The Area Deprivation Index (ADI) provides a composite area-based indicator of socioeconomic disadvantage consisting of 17 U.S. Census indicators, based on education, employment, housing quality, and poverty. We assessed patient risk factor profiles and performed multivariable regressions of total complications at 30 days, 90 days, and 1 year.

Methods

A prospectively collected database of 3,024 patients who underwent primary elective total knee arthroplasty or total hip arthroplasty performed by 3 fellowship-trained orthopaedic surgeons from January 1, 2015, through December 31, 2021, at a tertiary health-care center was analyzed. Patients were divided into quintiles (ADI ≤20 [n = 555], ADI 21 to 40 [n = 1,001], ADI 41 to 60 [n = 694], ADI 61 to 80 [n = 396], and ADI 81 to 100 [n = 378]) and into groups based on the national median ADI, ≤47 (n = 1,896) and >47 (n = 1,128).

Results

Higher quintiles had significantly more females (p = 0.002) and higher incidences of diabetes (p < 0.001), congestive heart failure (p < 0.001), chronic obstructive pulmonary disease (p < 0.001), hypertension (p < 0.001), substance abuse (p < 0.001), and tobacco use (p < 0.001). When accounting for several confounding variables, all ADI quintiles were not associated with increased total complications at 30 days, but age (p = 0.023), female sex (p = 0.019), congestive heart failure (p = 0.032), chronic obstructive pulmonary disease (p = 0.001), hypertension (p = 0.003), and chronic kidney disease (p = 0.010) were associated. At 90 days, ADI > 47 (p = 0.040), female sex (p = 0.035), and congestive heart failure (p = 0.001) were associated with increased total complications.

Conclusions

Balancing intrinsic factors, such as patient demographic characteristics, and extrinsic factors, such as social determinants of health, may minimize postoperative complications following TJA. The ADI is one tool that can account for several extrinsic factors, and can thus serve as a starting point to improving patient education and management in the setting of TJA.

Level of Evidence

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Social determinants of health disparities impact postoperative complications in patients undergoing total shoulder arthroplasty

BACKGROUND

Understanding the role of social determinants of health disparities (SDHDs) in surgical outcomes can better prepare providers to improve postoperative care. In this study, we use International Classification of Diseases (ICD) codes to identify SDHDs and investigate the risk of postoperative complication rates among patients undergoing total shoulder arthroplasty (TSA).

METHODS

A retrospective cohort analysis was conducted using a national insurance claims database. Using ICD and Current Procedural Terminology (CPT) codes, patients who underwent primary TSA with at least 2 years of follow-up in the database were identified. Patients with a history of SDHDs were identified using appropriate ICD-9 and ICD-10 codes. Patients were grouped in one of 2 cohorts: (1) patients with no history of SDHDs (control) and (2) patients with a history of SDHDs (SDHD group) prior to TSA. The SDHD and control groups were matched 1:1 for comorbidities and demographics prior to conducting multivariable analysis for 90-day medical complications and 2-year surgical complications.

RESULTS

After matching, there were 8023 patients in the SDHD group and 8023 patients in the control group. The SDHD group had significantly higher odds for 90-day medical complications including heart failure, cerebrovascular accident, renal failure, deep vein thrombosis, pneumonia, sepsis, and urinary tract infection. Additionally, the SDHD group had significantly higher odds for revision surgery within 2 years following TSA. Patients in the SDHD group also had a significantly longer length of hospital stay following TSA.

DISCUSSION

This study highlights the association between SDHDs and postoperative complications following TSA. Quantifying the risk of complications and differences in length of stay for TSA patients with a history of SDHDs is important in determining value-based payment models and risk stratifying to optimize patient care.

The Impact of Social Determinants of Health on the Treatment of Distal Radius Fracture

BACKGROUND

Disparities in social determinants of health (SDH) have been shown to play an increasingly important role in the equitable delivery of health care. Distal radius fractures (DRFs) are among the most common upper-extremity injuries encountered. This study aims to examine the influence of economic, educational, social, environmental, and healthcare disparities on management of these injuries.

METHODS

PearlDiver Mariner insurance claims database was analyzed for treatment patterns of DRF in patients aged 18 to 65 years based on the presence or absence of social determinants of health disparities (SDHDs). Outcome variables included the primary mode of management of DRF, including operative versus non-operative, as well as concomitant procedures. Multivariate logistic regression was used to compare fracture management modality in patients with and without SDHDs.

RESULTS

Of 161 704 patients identified with DRF, 38.3% had at least 1 reported SDHD. The majority of SDHDs were economic. Patients identified with 1 or more SDHDs had a higher medical comorbidity index. Patients with environmental SDHD were more likely to receive non-operative management. Within any SDHD and economic subgroups, odds of operative management were higher. No relationship was identified between SDHD and concomitant procedures.

CONCLUSIONS

The presence of environmental disparities in SDH may predispose patients disproportionately to non-operative management. The presence of SDHDs may influence medical decision-making in favor of open reduction and internal fixation in patients with DRF treated operatively. In treating at-risk populations, providers should be aware of the potential for implicit bias associated with SDHDs and prioritize shared decision-making between patients and physicians.

Area-Level Socioeconomic Disadvantage and Health Care Spending: A Systematic Review

Importance

Publicly available, US Census-based composite measures of socioeconomic disadvantage are increasingly being used in a wide range of clinical outcomes and health services research. Area Deprivation Index (ADI) and Social Vulnerability Index (SVI) are 2 of the most commonly used measures. There is also early interest in incorporating area-level measures to create more equitable alternative payment models.

Objective

To review the evidence on the association of ADI and SVI with health care spending, including claims-based spending and patient-reported barriers to care due to cost.

Evidence Review

A systematic search for English-language articles and abstracts was performed in the PubMed, Web of Science, Embase, and Cochrane databases (from inception to March 1, 2023). Peer-reviewed articles and abstracts using a cross-sectional, case-control, or cohort study design and based in the US were identified. Data analysis was performed in March 2023.

Findings

This review included 24 articles and abstracts that used a cross-sectional, case-control, or cohort study design. In 20 of 24 studies (83%), ADI and SVI were associated with increased health care spending. No association was observed in the 4 remaining studies, mostly with smaller sample sizes from single centers. In adjusted models, the increase in spending associated with higher ADI or SVI residence was $574 to $1811 for index surgical hospitalizations, $3003 to $24 075 for 30- and 90-day episodes of care, and $3519 for total annual spending for Medicare beneficiaries. In the studies that explored mechanisms, postoperative complications, readmission risk, and poor primary care access emerged as health care system-related drivers of increased spending.

Conclusions and Relevance

The findings of this systematic review suggest that both ADI and SVI can play important roles in efforts to understand drivers of health care spending and in the design of payment and care delivery programs that capture aspects of social risk. At the health care system level, higher health care spending and poor care access associated with ADI or SVI may represent opportunities to codesign interventions with patients from high ADI or SVI areas to improve access to high-value health care and health promotion more broadly.

Medicaid Patients Travel Disproportionately Farther for Revision Total Joint Arthroplasty

BACKGROUND

Access to high-quality care for revision total joint arthroplasty (rTJA) is poorly understood but may vary based on insurance type. This study investigated distance traveled for hip and knee rTJA based on insurance type.

METHODS

A total of 317 revision hips and 431 revision knees performed between 2010 and 2020 were retrospectively reviewed. Cluster sampling was used to select primary hips and knees for comparison. Median driving distance was compared based upon procedure and insurance type.

RESULTS

Revision hip and knee patients traveled 18.2 and 11.0 miles farther for surgery compared to primary hip and knee patients (P ≤ .001). For hip rTJA, Medicaid patients traveled farther than Medicare patients followed by commercially insured patients with median distances traveled of 98.4, 67.2, and 35.6 miles, respectively (P = .016). Primary hip patients traveled the same distance regardless of insurance type (P = .397). For knee rTJA, Medicaid patients traveled twice as far as Medicare and commercially insured patients (medians of 85.0, 43.5, and 42.2 miles respectively, P ≤ .046). Primary knee patients showed a similar pattern (P = .264). Age and ASA-PS classification did not indicate greater comorbidity in Medicaid patients.

CONCLUSION

Insurance type may influence rTJA referrals, with disproportionate referral of Medicaid and Medicare patients to nonlocal care centers. In addition to patient burden, these patterns potentially present a financial burden to facilities accepting referrals. Strategies to improve equitable access to rTJA, while maintaining the highest and most economical standards of care for patients, providers, and hospitals, are encouraged.

Patient Adherence Following Knee Surgery: Evidence-Based Practices to Equip Patients for Success

Patient adherence with postoperative wound care, activity restrictions, rehabilitation, medication, and follow-up protocols is paramount to achieving optimal outcomes following knee surgery. However, the ability to adhere to prescribed postoperative protocols is dependent on multiple factors both in and out of the patient's control. The goals of this review article are (1) to outline key factors contributing to patient nonadherence with treatment protocols following knee surgery and (2) to synthesize current management strategies and tools for optimizing patient adherence in order to facilitate efficient and effective implementation by orthopaedic health care teams. Patient adherence is commonly impacted by both modifiable and nonmodifiable factors, including health literacy, social determinants of health, patient fear/stigma associated with nonadherence, surgical indication (elective vs. traumatic), and distrust of physicians or the health care system. In addition, health care team factors, such as poor communication strategies or failure to follow internal protocols, and health system factors, such as prior authorization delays, staffing shortages, or complex record management systems, impact patient's ability to be adherent. Because the majority of factors found to impact patient adherence are nonmodifiable, it is paramount that health care teams adjust to better equip patients for success. For health care teams to successfully optimize patient adherence, focus should be paid to education strategies, individualized protocols that consider patient enablers and barriers to adherence, and consistent communication methodologies for both team and patient-facing communication.

Social Determinants of Health Disparities Increase the Rate of Complications After Total Knee Arthroplasty

BACKGROUND

Few studies have investigated whether social determinants of health disparities (SDHD), which include economic, social, education, health care, and environmental factors, identified through International Classification of Diseases (ICD) codes are associated with increased odds for poor health outcomes. We aimed to investigate the association between SDHD, identified through this novel methodology, as well as postoperative complications following total knee arthroplasty (TKA).

METHODS

Using a national insurance claims database, a retrospective cohort analysis was performed. Patients were selected using Current Procedural Terminology and ICD codes for primary TKA between 2010 and 2019. Patients were stratified into 2 groups using ICD codes, those who had SDHD and those who did not, and propensity matched 1:1 for age, sex, a comorbidity score, and other comorbidities. After matching, 207,844 patients were included, with 103,922 patients in each cohort. Odds ratios (ORs) for 90-day medical and 2-year surgical complications were obtained using multivariable logistical regressions.

RESULTS

In patients who have SDHD, multivariable analysis demonstrated higher odds of readmission (OR): 1.12; P = .013) and major and minor medical complications (OR: 2.09; P < .001) within 90-days as well as higher odds of revision surgery (OR: 1.77; P < .001) and periprosthetic joint infection (OR: 1.30; P < .001) within 2-years.

CONCLUSION

The SDHD are an independent risk factor for revision surgery and periprosthetic joint infection after TKA. In addition, SDHD is also an independent risk factor for all-cause hospital readmissions and both minor and major complications.

LEVEL OF EVIDENCE

III.

Race Associated With Increased Complication Rates After Total Knee Arthroplasty

BACKGROUND

Racial and ethnic disparities have been suggested to be associated with poor outcomes after total knee arthroplasty (TKA). While socioeconomic disadvantage has been studied, analyses of race as the primary variable are lacking. Therefore, we examined the potential differences between Black and White TKA recipients. Specifically, we assessed 30-day and 90-day, as well as 1 year: (1) emergency department visits and readmissions; (2) total complications; (3) as well as risk factors for total complications.

METHODS

A consecutive series of 1,641 primary TKAs from January 2015 to December 2021 at a tertiary health care system were reviewed. Patients were stratified according to race, Black (n = 1,003) and White (n = 638). Outcomes of interest were analyzed using bivariate Chi-square and multivariate regressions. Demographic variables such as sex, American Society of Anesthesiologists classification, diabetes, congestive heart failure, chronic pulmonary disease, and socioeconomic status based on Area Deprivation Index were controlled for across all patients.

RESULTS

The unadjusted analyses found that Black patients had an increased likelihood of 30-day emergency department visits and readmissions (P < .001). However, in the adjusted analyses, Black race was demonstrated to be a risk factor for increased total complications at all-time points (P ≤ .0279). Area Deprivation Index was not a risk for cumulative complications at these time points (P ≥ .2455).

CONCLUSION

Black patients undergoing TKA may be at increased risk for complications with more risk factors including higher body mass index, tobacco use, substance abuse, chronic obstructive pulmonary disease, congestive heart failure, hypertension, chronic kidney disease, and diabetes and were thus, "sicker" initially than the White cohort. Surgeons are often treating these patients at the later stages of their diseases when risk factors are less modifiable, which necessitates a shift to early, preventable public health measures. While higher socioeconomic disadvantage has been associated with higher rates of complications, the results of this study suggest that race may play a greater role than previously thought.

Patient Designation Prior to Total Knee Arthroplasty: How Can Preoperative Variables Impact Postoperative Status?

BACKGROUND

Removal of total knee arthroplasty (TKA) from the inpatient only list has led to a greater focus on outpatient (OP) procedures. However, the impact of OP-centered models in at-risk patients is unclear. Therefore, the current analysis investigated the effect of conversion from OP to inpatient (IP) status on postoperative outcomes and determined which factors put patients at risk for status change postoperatively.

METHODS

We retrospectively reviewed all patients who underwent a primary TKA at our institution between January 2, 2018, and April 26, 2022. All patients included were originally scheduled for OP surgery and were separated based on conversion to IP status postoperatively. Multiple regression analyses were used to determine the significance of all perioperative variables. Modeling via binary logistic regressions was used to determine factors predictive of status conversion.

RESULTS

Of the 2,313 patients originally designated for OP TKA, 627 (27.1%) required a stay of 2 midnights or longer. Patients in the IP group had significantly higher facility discharge rates (P < .001) compared to the OP group. Factors predictive of conversion included age of 65 years and older (P < .001), women (P < .001), arriving at the postanesthesia care unit after 12 pm (P < .001), body mass index greater than 30 (P = .004), and Charlson Comorbidity Index of 4 and higher (P = .004). Being the first case of the day (P < .001) and being married (P < .001) were both protective against conversion.

CONCLUSION

Certain intrinsic patient factors may predispose a patient to an IP stay, and an understanding of predisposing factors which could lead to IP conversion may improve perioperative planning moving forward.

Socioeconomic status, mental health, and nutrition are the principal traits for low back pain phenotyping: Data from the osteoarthritis initiative

Background

Low back pain (LBP) is a heterogeneous disease with biological, physical, and psychosocial etiologies. Models for predicting LBP severity and chronicity have not made a clinical impact, perhaps due to difficulty deciphering multidimensional phenotypes. In this study, our objective was to develop a computational framework to comprehensively screen metrics related to LBP severity and chronicity and identify the most influential.

Methods

We identified individuals from the observational, longitudinal Osteoarthritis Initiative cohort (N = 4796) who reported LBP at enrollment (N = 215). OAI descriptor variables (N = 1190) were used to cluster individuals via unsupervised learning and uncover latent LBP phenotypes. We also developed a dimensionality reduction algorithm to visualize clusters/phenotypes using Uniform Manifold Approximation and Projection (UMAP). Next, to predict chronicity, we identified those with acute LBP (N = 40) and persistent LBP over 8 years of follow-up (N = 66) and built logistic regression and supervised machine learning models.

Results

We identified three LBP phenotypes: a "high socioeconomic status, low pain severity group", a "low socioeconomic status, high pain severity group", and an intermediate group. Mental health and nutrition were also key clustering variables, while traditional biomedical factors (e.g., age, sex, BMI) were not. Those who developed chronic LBP were differentiated by higher pain interference and lower alcohol consumption (a correlate to poor physical fitness and lower soceioeconomic status). All models for predicting chronicity had satisfactory performance (accuracy 76%-78%).

Conclusions

We developed a computational pipeline capable of screening hundreds of variables and visualizing LBP cohorts. We found that socioeconomic status, mental health, nutrition, and pain interference were more influential in LBP than traditional biomedical descriptors like age, sex, and BMI.

The Association Between Social Determinants of Health and Population Health Outcomes: Ecological Analysis

BACKGROUND

With the increased availability of data, a growing number of studies have been conducted to address the impact of social determinants of health (SDOH) factors on population health outcomes. However, such an impact is either examined at the county level or the state level in the United States. The results of analysis at lower administrative levels would be useful for local policy makers to make informed health policy decisions.

OBJECTIVE

This study aimed to investigate the ecological association between SDOH factors and population health outcomes at the census tract level and the city level. The findings of this study can be applied to support local policy makers in efforts to improve population health, enhance the quality of care, and reduce health inequity.

METHODS

This ecological analysis was conducted based on 29,126 census tracts in 499 cities across all 50 states in the United States. These cities were grouped into 5 categories based on their population density and political affiliation. Feature selection was applied to reduce the number of SDOH variables from 148 to 9. A linear mixed-effects model was then applied to account for the fixed effect and random effects of SDOH variables at both the census tract level and the city level.

RESULTS

The finding reveals that all 9 selected SDOH variables had a statistically significant impact on population health outcomes for ≥2 city groups classified by population density and political affiliation; however, the magnitude of the impact varied among the different groups. The results also show that 4 SDOH risk factors, namely, asthma, kidney disease, smoking, and food stamps, significantly affect population health outcomes in all groups (P<.01 or P<.001). The group differences in health outcomes for the 4 factors were further assessed using a predictive margin analysis.

CONCLUSIONS

The analysis reveals that population density and political affiliation are effective delineations for separating how the SDOH affects health outcomes. In addition, different SDOH risk factors have varied effects on health outcomes among different city groups but similar effects within city groups. Our study has 2 policy implications. First, cities in different groups should prioritize different resources for SDOH risk mitigation to maximize health outcomes. Second, cities in the same group can share knowledge and enable more effective SDOH-enabled policy transfers for population health.

Social determinants of health in prognostic machine learning models for orthopaedic outcomes: A systematic review

RATIONAL

Social determinants of health (SDOH) are being considered more frequently when providing orthopaedic care due to their impact on treatment outcomes. Simultaneously, prognostic machine learning (ML) models that facilitate clinical decision making have become popular tools in the field of orthopaedic surgery. When ML-driven tools are developed, it is important that the perpetuation of potential disparities is minimized. One approach is to consider SDOH during model development. To date, it remains unclear whether and how existing prognostic ML models for orthopaedic outcomes consider SDOH variables.

OBJECTIVE

To investigate whether prognostic ML models for orthopaedic surgery outcomes account for SDOH, and to what extent SDOH variables are included in the final models.

METHODS

A systematic search was conducted in PubMed, Embase and Cochrane for studies published up to 17 November 2020. Two reviewers independently extracted SDOH features using the PROGRESS+ framework (place of residence, race/ethnicity, Occupation, gender/sex, religion, education, social capital, socioeconomic status, 'Plus+' age, disability, and sexual orientation).

RESULTS

The search yielded 7138 studies, of which 59 met the inclusion criteria. Across all studies, 96% (57/59) considered at least one PROGRESS+ factor during development. The most common factors were age (95%; 56/59) and gender/sex (96%; 57/59). Differential effect analyses, such as subgroup analysis, covariate adjustment, and baseline comparison, were rarely reported (10%; 6/59). The majority of models included age (92%; 54/59) and gender/sex (69%; 41/59) as final input variables. However, factors such as insurance status (7%; 4/59), marital status (7%; 4/59) and income (3%; 2/59) were seldom included.

CONCLUSION

The current level of reporting and consideration of SDOH during the development of prognostic ML models for orthopaedic outcomes is limited. Healthcare providers should be critical of the models they consider using and knowledgeable regarding the quality of model development, such as adherence to recognized methodological standards. Future efforts should aim to avoid bias and disparities when developing ML-driven applications for orthopaedics.

Social determinants of health influence clinical outcomes of patients undergoing rotator cuff repair: a systematic review

BACKGROUND

Social determinants of health (SDOH) are the collection of environmental, institutional, and intrinsic conditions that may bias access to, and utilization of, health care across an individual's lifetime. The effects of SDOH are associated with disparities in patient-reported outcomes after hip and knee arthroplasty, but its impact on rotator cuff repair (RCR) is poorly understood. This study aimed to investigate the influences that SDOH have on accessing appropriate orthopedic treatment, as well as its effects on patient-reported outcomes following RCR.

METHODS

This systematic review was performed in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and guidelines outlined by the Cochrane Collaboration. A search of PubMed, the Cochrane Library, and Embase from inception until March 2022 was conducted to identify studies reporting at least 1 SDOH and its effect on access to health care, clinical outcomes, or patient-reported outcomes following RCR. The search term was created with reference to the PROGRESS-Plus framework. Methodological quality of included primary studies was appraised using the Newcastle-Ottawa Scale (NOS) for nonrandomized studies, and the Cochrane Risk of Bias Tool for randomized studies.

RESULTS

Thirty-two studies (level I-IV evidence) from 18 journals across 7 countries, published between 1999 and 2022, met inclusion criteria, including 102,372 patients, 669 physical therapy (PT) clinics, and 71 orthopedic surgery practices. Multivariate analysis revealed female gender, labor-intensive occupation and worker's compensation claims, comorbidities, tobacco use, federally subsidized insurance, lower education level, racial or ethnic minority status, low-income place of residence and low-volume surgery regions, unemployment, and preoperative narcotic use contribute to delays in access to health care and/or more severe disease state on presentation. Black race patients were found to have significantly worse postoperative clinical and patient-reported outcomes and experienced more pain following RCR. Furthermore, Black and Hispanic patients were more likely to present to low-volume surgeons and low-volume facilities. A lower education level was shown to be an independent predictor of poor surgical and patient-reported outcomes as well as increased pain and worse patient satisfaction. Patients with federally subsidized insurance demonstrated significantly worse postoperative clinical and patient-reported outcomes CONCLUSIONS: The impediments created by SDOH lead to worse clinical and patient-reported outcomes following RCR including increased risk of postoperative complications, failed repair, higher rates of revision surgery, and decreased ability to return to work. Orthopedic surgeons, policy makers, and insurers should be aware of the aforementioned SDOH as markers for characteristics that may predispose to inferior outcomes following RCR.

Caring for Diverse and High-Risk Patients: Surgeon, Health System, and Patient Integration

Access and outcome disparities exist in hip and knee arthroplasty care. These disparities are associated with race, ethnicity, and social determinants of health such as income, housing, transportation, education, language, and health literacy. Additionally, medical comorbidities affecting postoperative outcomes are more prevalent in underresourced communities, which are more commonly communities of color. Navigating racial and ethnic differences in treating our patients undergoing hip and knee arthroplasty is necessary to reduce inequitable care. It is important to recognize our implicit biases and lessen their influence on our healthcare decision-making. Social determinants of health need to be addressed on a large scale as the current inequitable system disproportionally impacts communities of color. Patients with lower health literacy have a higher risk of postoperative complications and poor outcomes after hip and knee replacement. Low health literacy can be addressed by improving communication, reducing barriers to care, and supporting patients in their efforts to improve their own health. High-risk patients require more financial, physical, and mental resources to care for them, and hospitals, surgeons, and health insurance companies are often disincentivized to do so. By advocating for alternative payment models that adjust for the increased risk and take into account the increased perioperative work needed to care for these patients, surgeons can help reduce inequities in access to care. We have a responsibility to our patients to recognize and address social determinants of health, improve the diversity of our workforce, and advocate for improved access to care to decrease inequity and outcomes disparities in our field.

Social Determinants of Health in Total Hip Arthroplasty: Are They Associated With Costs, Lengths of Stay, and Patient Reported Outcomes?

BACKGROUND

Social determinants of health (SDOH) may play a larger role in predicting patient outcomes as outpatient total hip arthroplasty (THA) expands. We specifically examined the association between SDOH and patient metrics (demographics and comorbidities) for: (1) 30-day post-discharge costs of care; (2) lengths of stay (LOS); and (3) patient-reported outcomes (Hip Disability and Osteoarthritis Outcomes Score for Joints Replacement (HOOS JR)).

METHODS

Medicare patients who underwent primary THA between 2018 and 2019 were identified. Those who had complete social determinant data were included (n = 136). Data elements were drawn from institutional, regional, and government databases, as well as the Social Vulnerability Index (SVI). Multiple regression analyses were performed to determine SDOH and baseline comorbidities associations with costs, LOS, and HOOS JR scores.

RESULTS

Various SDOH factors were associated with higher 30-day costs, including residing in a food desert ($53,695 ± 15,485; P < .001) and the following SVI themes: 'Minority Status and Language' ($24,075 ± 9845; P = .01) and 'Housing and Transportation' ($16,190 ± 8501; P = .06), although the latter did not meet statistical significance. Baseline depression was associated with longer LOS (P = .02), while none of the other SDOH or patient metrics affected LOS. No relationships were observed between SDOH and HOOS JR changes from baseline.

CONCLUSION

Patients who live in food deserts and have minority status had higher costs of care after primary THA. Poor housing and transportation may also increase costs, albeit insignificantly. These results highlight the utility of assessing SDOH-related risk factors to optimize post-operative outcomes, with potential implications for bundled care.

Neighborhood Socioeconomic Disadvantages Associated With Prolonged Lengths of Stay, Nonhome Discharges, and 90-Day Readmissions After Total Knee Arthroplasty

BACKGROUND

Low socioeconomic status and neighborhood context has been linked to poor health care outcomes after total knee arthroplasty (TKA). The area deprivation index (ADI) addresses this relationship by ranking neighborhoods by socioeconomic disadvantage. We examined the following relationships of the ADI among TKA recipients: (1) patient demographics, (2) lengths of stay (LOS), (3) nonhome discharges, and (4) 90-day readmissions, emergency department visits, and reoperations.

METHODS

We reviewed a consecutive series of primary TKAs from 2018 through 2020 at a tertiary health care system. A total of 3928 patients who had complete ADI data were included. A plurality of patients (14.9%) were categorized within ADI 31-40, below the national median ADI of 47. Associations between the national ADI decile and 90-day postoperative health care utilization metrics were evaluated using multivariate regressions (adjusted for patient demographics and comorbidities).

RESULTS

The 91-100 ADI cohort was disproportionately African American, female, younger, and smokers. Compared with ADI 31-40 (reference), the ADI 61-70 cohort was associated with higher odds of LOS ≥3 days (odds ratio [OR] = 1.6 [1.08-2.36], P = .019) and nonhome discharges (OR = 1.73 [1.08-2.75], P = .021). The ADI 91-100 cohort was associated with the highest odds of prolonged LOS (OR = 2.27; [1.47-3.49], P < .001), nonhome discharges (OR = 3.49 [2.11-5.78], P < .001), and all-cause readmissions (OR: 1.79, [1.02-3.14], P = .044). No significant associations were found between the ADI and 90-day emergency department visits or reoperations (P > .05).

CONCLUSION

A higher ADI was associated with prolonged LOS, nonhome discharge status, and 90-day readmissions after TKA. This index highlights potential areas of intervention for assessing health care outcomes.

Patients From Medically Underserved Areas Are at Increased Risk for Nonhome Discharge and Emergency Department Return After Total Joint Arthroplasty

BACKGROUND

Maryland Health Enterprise Zones (MHEZs) were introduced in 2012 and encompass underserved areas and those with reduced access to healthcare providers. Across the United States many underserved and minority populations experience poorer total joint arthroplasty (TJA) outcomes seemingly because they reside in underserved areas. The purpose of this study is to identify and quantify the relationship between living in an MHEZ and TJA outcomes.

METHODS

Retrospective review of 11,451 patients undergoing primary TJA at a single institution from July 1, 2014 to June 30, 2020 was conducted. Patients were classified based on whether they resided in an MHEZ. Statistical analyses were used to compare outcomes for TJA patients who live in MHEZ and those who do not.

RESULTS

Of the 11,451 patients, 1057 patients lived in MHEZ and 10,394 patients did not. After risk adjustment, patients who live in an MHEZ were more likely to return to the emergency department within 90 days postoperatively and were less likely to be discharged home than those patients who do not live in an MHEZ.

CONCLUSION

Total joint arthroplasty patients residing in MHEZ appear to present with poorer overall health as measured by increased American Society of Anesthesiologists and Hierarchical Condition Categories scores, and they are less likely to be discharged home and more likely to return to the emergency department within 90 days. Several factors associated with these findings such as socioeconomic factors, household composition, housing type, disability, and transportation may be modifiable and should be targets of future population health initiatives.

Social Determinants of Health: What Are They and How Do We Screen

The Future of Nursing 2020-2030: Charting a Path to Achieve Health Equity report recognizes nurses' impact on the medical and social factors that drive health outcomes (National Academies of Sciences, Engineering, and Medicine [NASEM], 2021). The report calls for nursing to take bold steps to address individual and structural level social determinants of health (SDoH)-or social and environmental factors contributing to poor health, poor health outcomes, and health disparities (NASEM, 2021, p. 5). Nurses must recognize the significance of SDoH on patient health outcomes in order to advance health equity and employ nursing interventions to affect positive change for our patients. SDoH are part of our patients' stories, and holistic nursing means we know the whole patient story. Although it is now widely recognized that SDoH affect health outcomes, a key challenge for nurses is that they represent an enormous range of factors-from food and housing insecurity to personal safety and environmental exposures-that may be more or less able to change with interventions in clinical settings. Furthermore, concerns have been raised that screening for SDoH-especially when not done with sensitivity, cultural competence, or ready intervention-may compromise therapeutic relationships and marginalize patients (Wallace et al., 2020). However, despite these concerns, healthcare systems are widely adopting SDoH assessments, generally through electronic health record screening questions, and attempting to implement associated workflows and interventions. Given this landscape, the purpose of this article, within this special issue of Orthopaedic Nursing, is to provide an overview of SDoH factors, identify best practices related to screening and referral, and highlight nurse-directed interventions in clinical settings.