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

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. 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. 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. 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.

Farronato DM ，Pezzulo JD ，Rondon AJ ，Sherman MB ，Davis DE ... -  《-》

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

Racial and socioeconomic disparities have been associated with complications and poorer patient-reported outcomes after THA and TKA, but little is known regarding the variation of postacute care resource utilization based on socioeconomic difference in the communities in which patients reside. Hip and knee arthroplasty are among the most common elective orthopaedic procedures. Therefore, understanding social factors provides insight into patients at risk for readmission and the way in which these patients use other postoperative resources. This knowledge can help surgeons better understand which patients are at risk for complications or preventable readmissions and how to anticipate when additional surveillance or intervention might reduce this risk. (1) Do patients from communities with a higher distress level experience higher rates of readmission after THA and TKA? (2) Do patients from distressed communities have increased postoperative resource utilization? Demographics, ZIP code of residence, and Charlson comorbidity index (CCI) were recorded for each patient undergoing TKA or THA between 2016 and 2019 at two high-volume hospitals. Patients were classified according to the Distressed Communities Index (DCI) score of their ZIP code of residence. The DCI combines seven metrics of socioeconomic well-being (high school graduation, poverty rate, unemployment, housing vacancy, household income, change in employment, and change in establishment) to create a single score. ZIP codes are then classified by scores into five categories based on national quintiles (prosperous, comfortable, mid-tier, at-risk, and distressed). The DCI was chosen because it provides a single composite measure of multiple important socioeconomic factors. Multivariate analysis with logistic, negative binomial regression, or Poisson was used to investigate the association of DCI category with postoperative resource utilization while controlling forage, gender, BMI, and comorbidities. The primary outcome was 90-day readmissions. Secondary outcomes included postoperative medication prescriptions from the orthopaedic team, patient telephone calls to the surgeon's office, physical therapy sessions attended, follow-up office visits, and emergency department visits. A total of 5077 patients who underwent TKA (mean age 66 ± 9 years, 59% [2983 of 5077] are women, and 69% [3519 of 5077] are White), and 5299 who underwent THA (mean age 63 ± 11 years, 50% [2654 of 5299] are women, and 74% [3903 of 5299] are White) were included. When adjusting for age, gender, race and CCI, readmission risk was higher in distressed communities compared with prosperous communities for patients undergoing TKA (odds ratio 1.6 [95% confidence interval 1.1 to 2.3]; p = 0.02) but not for THA. For secondary outcomes after TKA, at-risk communities had more postoperative prescriptions compared with prosperous communities, but no other differences were found. After THA, no major differences were found in the likelihood to utilize postoperative resources based on DCI category. Race was not associated with readmissions or resource utilization. We found that socioeconomic distress was associated with readmission after TKA, but, after controlling for relevant confounding variables, race had no association. Patients from these communities do not demonstrate an increased or decreased use of other resources after post-TKA discharge. Increased awareness of these disparities may allow for closer monitoring and improved patient education and communication, with the goal of reducing the frequency of complications and preventable readmissions. Level III, therapeutic study.

Magnuson JA ，Griffin SA ，Venkat N ，Gold PA ，Courtney PM ，Krueger CA ... -  《-》

Effects of socioeconomic burden on opioid use following total shoulder arthroplasty.

Preoperative opioid users experience worse outcomes and higher complication rates compared to opioid-naïve patients following shoulder arthroplasty. This study evaluates the effects of socioeconomic status, as measured by the Distressed Communities Index (DCI), on pre- and postoperative opioid use and its influence on clinical outcomes such as readmission and revision surgery. A retrospective review of patients who underwent primary shoulder arthroplasty (Current Procedural Terminology code 23472) from 2014 to 2022 at a single academic institution was performed. Exclusion criteria included arthroplasty for fracture, active malignancy, and revision arthroplasty. Demographics, Charlson Comorbidity Index, DCI, and clinical outcomes including 90-day readmission and revision surgery were collected. Patients were classified according to the DCI score of their zip code. Using the Prescription Drug Monitoring Program database, patient pre- and postoperative opioid use in morphine milligram equivalents was gathered. Individuals from distressed communities used more opioids within 90 days preoperatively compared to patients from prosperous, comfortable, mid-tier, and at-risk populations, respectively. Patients from distressed communities also used significantly more opioids within 90 days postoperatively compared with prosperous, comfortable, and mid-tier, respectively. Of patients from distressed communities, 35.1% developed prolonged opioid use (filling prescriptions >30 days after surgery), significantly more than all other cohorts. Among all patients, 3.5% were readmitted within 90 days and were more likely to be prolonged opioid users (38.9 vs. 21.3%, P < .001). Similarly, 1.5% of patients underwent revision surgery. Those who underwent revision were significantly more likely to be prolonged opioid users (38.2 vs. 21.7%, P = .002). Shoulder arthroplasty patients from distressed communities use more opioids within 90 days before and after their surgery and are more likely to become prolonged opioid users, placing them at risk for readmission and revision surgery. Identifying patients at an increased risk for excess opioid use is essential to employ appropriate strategies that minimize the detrimental effects of prolonged use following surgery.

Farronato DM ，Pezzulo JD ，Juniewicz R ，Rondon AJ ，Cox RM ，Davis DE ... -  《-》

Characteristics and risk factors for 90-day readmission following shoulder arthroplasty.

Anatomic total shoulder arthroplasty (TSA) and reverse TSA are the standard of care for end-stage shoulder arthritis. Advancements in implant design, perioperative management, and patient selection have allowed shorter inpatient admissions. Unplanned readmissions remain a significant complication. Identification of risk factors for readmission is prudent as physicians and payers prepare for the adoption of bundled care reimbursement models. The purpose of this study was to identify characteristics and risk factors associated with readmission following shoulder arthroplasty using a large, bi-institutional cohort. A total of 2805 anatomic TSAs and 2605 reverse TSAs drawn from 2 geographically diverse, tertiary health systems were examined for unplanned inpatient readmissions within 90 days following the index operation (primary outcome). Forty preoperative patient sociodemographic and comorbidity factors were tested for their significance using both univariable and multivariable logistic regression models, and backward stepwise elimination selected for the most important associations for 90-day readmission. Readmissions were characterized as either medical or surgical, and subgroup analysis was performed. A short length of stay (discharge by postoperative day 1) and discharge to a rehabilitation or skilled nursing facility were also examined as secondary outcomes. Parameters associated with increased readmission risk were included in a predictive model. Within 90 days of surgery, 175 patients (3.2%) experienced an unanticipated readmission, with no significant difference between institutions (P = .447). There were more readmissions for surgical complications than for medical complications (62.9% vs. 37.1%, P < .001). Patients discharged to a rehabilitation or skilled nursing facility were significantly more likely to be readmitted (13.1% vs. 8.8%, P = .049), but a short inpatient length of stay was not associated with an increased rate of 90-day readmission (42.9% vs. 41.3%, P = .684). Parameter selection based on predictive ability resulted in a multivariable logistic regression model composed of 16 preoperative patient factors, including reverse TSA, revision surgery, right-sided surgery, and various comorbidities. The area under the receiver operator characteristic curve for this multivariable logistic regression model was 0.716. Risk factors for unplanned 90-day readmission following shoulder arthroplasty include reverse shoulder arthroplasty, surgery for revision and fracture, and right-sided surgery. Additionally, there are several modifiable and nonmodifiable risk factors that can be used to ascertain a patient's readmission probability. A shorter inpatient stay is not associated with an increased risk of readmission, whereas discharge to post-acute care facilities does impose a greater risk of readmission. As scrutiny around health care cost increases, identifying and addressing risk factors for readmission following shoulder arthroplasty will become increasingly important.

Burnett RA ，Goltz DE ，Levin JM ，Wickman JR ，Howell CB ，Nicholson GP ，Verma NN ，Anakwenze OA ，Lassiter TE Jr ，Klifto CS ，Garrigues GE ... -  《-》

Predicting Hospital Readmissions After Total Shoulder Arthroplasty Within a Bundled Payment Cohort.

Given the rising demand for shoulder arthroplasty, understanding risk factors associated with unplanned hospital readmission is imperative. No study to date has examined the influence of patient and hospital-specific factors as a predictive model for 90-day readmissions within a bundled payment cohort after primary shoulder arthroplasty. The purpose of this study was to determine predictive factors for 90-day readmissions after primary shoulder arthroplasty within a bundled payment cohort. After obtaining IRB approval, a retrospective review of a consecutive series of Medicare patients undergoing primary shoulder arthroplasty from 2014 to 2020 at a single academic institution was conducted. Patient demographic data, surgical variables, medical comorbidity profiles, medical risk scores, and social risk scores were collected. Postoperative variables included length of hospital stay, discharge location, and 90-day readmissions. Multivariate analysis was conducted to determine the independent risk factors of 90-day readmission. Overall, 3.6% of primary shoulder arthroplasty patients (127/3,523) were readmitted within 90 days. Readmitted patients had a longer hospital course (1.75 versus 1.45 P = 0.006), higher comorbidity profile (4.64 versus 4.24 P = 0.001), higher social risk score (7.96 versus 6.9 P = 0.008), and higher medical risk score (10.1 versus 6.96 P < 0.001) and were more likely to require a home health aide or be discharged to an inpatient rehab facility or skilled nursing facility ( P = 0.002). Following multivariate analysis, an elevated medical risk score was associated with an increased risk of readmission (odds ratio = 1.05, P < 0.001). This study demonstrates medical risk scores to be an independent risk factor of increased risk of 90-day hospital readmissions after primary shoulder arthroplasty within a bundled payment patient population. Additional incorporation of medical risk scores may be a beneficial adjunct in preoperative prediction for readmission and the potentially higher episode-of-care costs. Level III, retrospective cohort.

Pezzulo JD ，Farronato DM ，Rondon AJ ，Sherman MB ，Getz CL ，Davis DE ... -  《-》