Postacute Care Readmission and Resource Utilization in Patients From Socioeconomically Distressed Communities After Total Joint Arthroplasty

The impact of social deprivation on healthcare utilization patterns following rotator cuff repair

BACKGROUND

Disparities in social determinants of health have been linked to worse patient reported outcomes, higher pain, and increased risk of revision surgery following rotator cuff repair. Identification of perioperative predictors of increased healthcare utilization is of particular interest to surgeons to improve outcomes and mitigate the total cost of care. The effect of social deprivation on healthcare utilization has not been fully characterized.

METHODS

This is a retrospective review of a single institution's experience with primary rotator cuff repair between 2012 and 2020. Demographic variables (age, race, gender, American Society of Anesthesiologists (ASA) score) and healthcare utilization (hospital readmission, emergency department visits, follow-up visits, telephone calls) were recorded within 90 days of surgery. The Area Deprivation Index (ADI) was recorded, and patients were separated into terciles according to their relative level of social deprivation. Outcomes were then stratified based on ADI tercile and compared.

RESULTS

A total of 1695 patients were included. The upper, middle, and lower terciles of ADI consisted of 410, 767, and 518 patients, respectively. The most deprived tercile had greater emergency department visitation and office visitation within 90 days of surgery relative to the least and intermediate deprived terciles. Higher levels of social deprivation were independent risk factors for increased emergency department (ED) visitation and follow-up visitation. There was no difference in 90-day readmission rates or telephone calls made between the least, intermediate, and most deprived patients.

CONCLUSIONS

Patients with higher levels of deprivation demonstrated greater postoperative hospital utilization. We hope to use these results to identify risk factors for increased hospital use, guide clinical decision making, increase transparency, and manage patient outcomes following rotator cuff repair surgery.

Social Determinants of Health and Preoperative Care

Preoperative care exists as part of perioperative continuum during which anesthesiologists and surgeons optimize patients for surgery. These multispecialty efforts are important, particularly for patients with complex medical histories and those requiring major surgery. Preoperative care improves planning and determines the clinical pathway and discharge disposition. The role of nonmedical social factors in the preoperative planning is not well described in anesthesiology. Research to improve outcomes based on social factors is not well described for anesthesiologists but could be instrumental in decreasing disparities and advancing health equity in surgical patients.

Social determinants of health in patients undergoing hemiarthroplasty: are they associated with medical complications, healthcare utilization, and payments for care?

INTRODUCTION

Social determinants of health (SDOH) have previously been shown to impact orthopedic surgery outcomes. This study assessed whether greater socioeconomic disadvantage in patients undergoing hemiarthroplasty following femoral neck fracture was associated with differences in (1) medical complications, (2) emergency department (ED) utilization, (3) readmission rates, and (4) payments for care.

METHODS

A US nationwide database was queried for hemiarthroplasties performed between 2010 and 2020. Area Deprivation Index (ADI), a validated measure of socioeconomic disadvantage reported on a scale of 0-100, was used to compare two cohorts of greater and lesser deprivation. Patients undergoing hemiarthroplasty from high ADI (95% +) were 1:1 propensity score matched to a comparison group of lower ADI (0-94%) while controlling for age, sex, and Elixhauser Comorbidity Index. This yielded 75,650 patients evenly distributed between the two cohorts. Outcomes studied were 90-day medical complications, ED utilizations, readmissions, and payments for care. Multivariate logistic regression models were utilized to calculate odds ratios (ORs) of the relationship between ADI and outcomes. p Values < 0.05 were significant.

RESULTS

Patients of high ADI developed greater medical complications (46.74% vs. 44.97%; OR 1.05, p = 0.002), including surgical site infections (1.19% vs. 1.00%; OR 1.20, p = 0.011), cerebrovascular accidents (1.64% vs. 1.41%; OR 1.16, p = 0.012), and respiratory failures (2.27% vs. 2.02%; OR 1.13, p = 0.017) compared to patients from lower ADIs. Although comparable rates of ED visits (2.92% vs. 2.86%; OR 1.02, p = 0.579), patients from higher ADI were readmitted at diminished rates (10.57% vs. 11.06%; OR 0.95, p = 0.027). Payments were significantly higher on the day of surgery ($7,570 vs. $5,974, p < 0.0001), as well as within 90 days after surgery ($12,700 vs. $10,462, p < 0.0001).

CONCLUSIONS

Socioeconomically disadvantaged patients experience increased 90-day medical complications and payments, similar ED utilizations, and decreased readmissions. These findings can be used to inform healthcare providers to minimize disparities in care.

LEVEL OF EVIDENCE

III.

Distressed communities demonstrate increased readmission and health care utilization following shoulder arthroplasty

BACKGROUND

Socioeconomic status (SES) has been shown to affect outcomes following total shoulder arthroplasty (TSA), but little is known regarding how SES and the communities in which patients reside can affect postoperative health care utilization. With the growing use of bundled payment models, understanding what factors put patients at risk for readmission and the ways in which patients utilize the health care system postoperatively is crucial for preventing excess costs for providers. This study helps surgeons predict which patients are high-risk and may require additional surveillance following shoulder arthroplasty.

METHODS

A retrospective review of 6170 patients undergoing primary shoulder arthroplasty (anatomic and reverse; Current Procedural Terminology code 23472) from 2014-2020 at a single academic institution was performed. Exclusion criteria included arthroplasty for fracture, active malignancy, and revision arthroplasty. Demographics, patient zip code, and Charlson Comorbidity Index were attained. Patients were classified according to the Distressed Communities Index (DCI) score of their zip code. The DCI combines several metrics of socioeconomic well-being to generate a single score. Zip codes are then classified by scores into 5 categories based on national quintiles. The primary outcome of interest was 90-day readmissions. Secondary outcomes included number of postoperative medication prescriptions, patient telephone calls to the office, and follow-up office visits.

RESULTS

Among all patients undergoing total shoulder arthroplasty, individuals from distressed communities were more likely than their prosperous counterparts to experience an unplanned readmission (odds ratio = 1.77, P = .045). Patients from comfortable (relative risk [RR] = 1.12, P < .001), midtier (RR = 1.13, P < .001), at-risk (RR = 1.20, P < .001), and distressed (RR = 1.17, P < .001) communities were all more likely to use more medications compared to those from prosperous communities. Likewise, those from comfortable (RR = 0.92, P < .001), midtier (RR = 0.88, P < .001), at-risk (RR = 0.93, P = .008), and distressed (RR = 0.93, P = .033) communities, respectively, were at a lower risk of making calls compared to prosperous communities.

CONCLUSIONS

Following primary total shoulder arthroplasty, patients who reside in distressed communities are at significantly increased risk of experiencing an unplanned readmission and increased health care utilization postoperatively. This study revealed that patient socioeconomic distress is more associated with readmission than race following TSA. Increased awareness and employing strategies to maintain and ultimately improve communication with patients offers a potential solution to reduce excessive health care utilization, benefiting both patients and providers alike.