Association between patient-reported frailty and nonhome discharge among older patients with acute stroke: A prospective study.

OBJECTIVE: To investigate the association between prestroke frailty and nonhome discharge, prolonged length of stay as well as functional outcomes. DESIGN: Prospective observational study. SETTING: Single urban teaching hospital in Guangzhou, China. PARTICIPANTS: Consecutive sample of 271 older patients admitted with acute stroke. INTERVENTION: N/A. MAIN MEASURES: A five-item FRAIL scale (0∼5 points) and the stroke severity at onset were measured. The primary outcome of interest was nonhome discharge, with secondary outcomes including prolonged length of stay and worse short-term prognosis. Multivariable logistic regression adjusting for confounding factors was used to determine the association between patient-reported frailty and nonhome discharge, prolonged length of stay, worse short-term prognosis. RESULTS: The population had a median age of 68 [interquartile range (IQR), 64∼74)]years, with 50 individuals (18.5%) identified as frail. After adjusting for age, sex, Barthel index, National Institutes of Health Stroke Scale, and Mini-Mental Status Exam score at admission, patients with self-reported frailty were significantly likely to experience nonhome discharge (Odds Ratio [OR] = 4.788; 95% confidence interval [CI] = 1.272∼18.017; p = .021), prolonged length of stay (OR = 4.76; 95% CI = 1.80∼12.56; p = .002), mRS scores at 30 days (OR = 6.72;95% CI = 1.79∼25.20; p = .005) and three months postdischarge and three-month (OR = 8.94; 95% CI = 2.10∼38.08; p = .003). CONCLUSIONS: In older adults with stroke, frailty is associated with nonhome discharge, prolonged length of stay, and worse short-term prognosis, regardless of the stroke severity, cognition, and Barthel index score at admission. FRAIL scale can be used as a practical screening tool in acute care setting by multidisciplinary team in supporting discharge process.

Machine learning model outperforms the ACS Risk Calculator in predicting non-home discharge following primary total knee arthroplasty.

PURPOSE: Despite the increase in outpatient total knee arthroplasty (TKA) procedures, many patients are still discharged to non-home locations following index surgery. The ability to accurately predict non-home discharge (NHD) following TKAs has the potential to promote a reduction in associated adverse events and excess healthcare costs. This study aimed to evaluate whether a machine learning (ML) model could outperform the American College of Surgeons (ACS) Risk Calculator in predicting NHD following TKA, using the same set of clinical variables. We hypothesised that the ML model would outperform the ACS Risk Calculator. METHODS: Data from 365,240 patients who underwent a primary TKA between 2013 and 2020 were extracted from the ACS-National Surgical Quality Improvement Program database and used to develop an artificial neural network (ANN) to predict discharge disposition following primary TKA. The ANN and ACS calculator were assessed and compared using discrimination, calibration and decision curve analysis. RESULTS: Age (>68 years), BMI (>35.5 kg/m2) and ASA Class (≥2) were found to be the most important variables in predicting NHD following TKA. When compared to the ACS calculator, the ANN model demonstrated a significantly superior ability to distinguish the area under the receiver operating characteristic curve (AUC) among NHD patients and provided probability predictions well aligned with the true outcomes (AUCANN = 0.69, AUCACS = 0.50, p = 0.002, slopeANN = 0.85, slopeACS = 4.46, interceptANN = 0.04, and interceptACS = 0.06). CONCLUSION: Our findings support the hypothesis that machine learning models outperform the ACS Risk Calculator in predicting non-home discharge after TKA, even when constrained to the same clinical variables. Our findings underscore the potential benefits of integrating machine learning models into clinical practice for improving preoperative patient risk identification, optimisation, counselling and clinical decision-making. LEVEL OF EVIDENCE: III.

Neighborhood Socioeconomic Disadvantage is Associated With Increased Health Care Utilization After Septic and Aseptic Revision Total Hip Arthroplasty.

BACKGROUND: A greater area deprivation index (ADI), a tool that gauges socioeconomic disadvantage at the neighborhood level, is associated with worse health care outcomes following primary total hip arthroplasty. However, its association with revision total hip arthroplasty (rTHA) is unknown. This study aimed to determine the association between ADI and rates of postoperative health care resource utilization following rTHA. METHODS: A total of 996 patients who underwent rTHA between 2016 and 2022 were enrolled in a prospective study. The primary outcomes assessed were nonhome discharge disposition (DD), length of stay (LOS) ≥ three days, 90-day emergency department (ED) visits, and 90-day hospital readmissions. The ADI was calculated using the patient's home address at the time of surgery, with greater ADI indicating greater socioeconomic disadvantage. We evaluated the mediation effect of patient race on ADI and postoperative health care utilization using a multivariable logistic regression model. RESULTS: A higher median ADI was revealed for patients who experienced nonhome discharge (P = 0.001), extended LOS (P < 0.001), and ED readmission within 90 days of surgery (P = 0.045). When comparing septic versus aseptic rTHA patients, there were significant differences in health care resource utilization but no difference in ADI between the two groups. For aseptic rTHA, ADI significantly mediated the effect of race on both nonhome DD and LOS ≥ 3 (41 and 46% mediation, respectively). In septic rTHA, ADI mediated 31.1% of the effect of race on nonhome DD, but showed minimal mediation effect on LOS. The mediation effect of ADI on ED admission and hospital readmission was minimal for both groups. CONCLUSIONS: Higher ADI scores are associated with increased health care utilization after rTHA, including longer hospital stays and more nonhome discharges. The ADI significantly mediates the effect of race on these outcomes, particularly in aseptic rTHA cases, suggesting that neighborhood socioeconomic factors play a crucial role in previously observed racial disparities.

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.

Physical Health-Related Quality of Life and Postsurgical Outcomes in Brain Tumor Resection Patients.

Background Patient-reported outcome measures (PROMs) have gained traction in assessing patients' health around surgery. Among these, the 29-item Patient-Reported Outcomes Measurement Information System (PROMIS-29) is a widely accepted tool for evaluating overall health, yet its applicability in cranial neurosurgery remains uncertain. Objective This study aimed to evaluate the predictive value of preoperative PROMIS-29 scores for postoperative outcomes in patients undergoing brain tumor resection. Materials and Methods We identified adult patients undergoing brain tumor resection at a single neurosurgical center between January 2018 and December 2021. We analyzed physical health (PH) summary scores to determine optimal thresholds for predicting length of stay (LOS), discharge disposition (DD), and 30-day readmission. Bivariate analyses were conducted to examine the distribution of PH scores based on patient characteristics. Multivariate logistic regression models were employed to assess the association between preoperative PH scores and short-term postoperative outcomes. Results Among 157 patients (mean age 55.4 years, 58.0% female), 14.6% exhibited low PH summary scores. Additionally, 5.7% experienced prolonged LOS, 37.6% had nonroutine DDs, and 19.1% were readmitted within 30 days. Bivariate analyses indicated that patients with low PH summary scores, indicating poorer baseline PH, were more likely to have malignant tumors, nonelective admissions, and adverse outcomes. In multivariate analysis, low PH summary scores independently predicted increased odds of prolonged LOS (odds ratio [OR] = 6.09, p = 0.003), nonroutine DD (OR = 4.25, p = 0.020), and 30-day readmission (OR = 3.93, p = 0.020). Conclusion The PROMIS-29 PH summary score serves as a valuable predictor of short-term postoperative outcomes in brain tumor patients. Integrating this score into clinical practice can enhance the ability to anticipate meaningful postoperative results.

"Factors influencing readmission patterns following radical cystectomy: An analysis of social determinants and discharge outcomes".

INTRODUCTION AND OBJECTIVES: Radical cystectomy readmission rates remain high, with around 25% of patients readmitted to index and nonindex hospitals in 30 days. Nonindex readmissions have been associated with poorer outcomes, including longer lengths of stay and higher mortality rates. This study aimed to examine the associations of social factors (e.g., sex, race, socioeconomic status, insurance type, and resident location) on readmission to index versus nonindex hospitals and discharge disposition. METHODS: We conducted a population-based retrospective study using the Pennsylvania Cancer Registry (PCR) to identify patients diagnosed with nonmetastatic muscle-invasive bladder cancer who underwent radical cystectomy in Pennsylvania between 2010 and 2018. Readmitted patients were identified using the Pennsylvania Health Care Cost Containment Council data (PHC4). The primary outcome was readmission location (i.e., index or nonindex hospital) following radical cystectomy. We used chi-square tests for categorical variables, Wilcoxon rank sum test for continuous variables, multivariable logistic regression model to assess predictors of being readmitted to an index hospital and calculating the predicted probability of being admitted to an index hospital depending on discharge disposition. RESULTS: A total of 517 patients were readmitted within 30-days after radical cystectomy. The majority of readmissions were index readmissions (83%). Median readmission hospital stay was 4 days (interquartile range [IQR] 4) for index and 5 days (IQR 7) for nonindex hospitals, P = 0.01. Patients readmitted to index hospitals had fewer comorbidities (median weighted Elixhauser Comorbidity Index 2 (IQR 2)) and lived in urban areas (89%). Discharge with home care was associated with a higher odds of index readmission (odds ratio, [OR] 2.40; 95% confidence interval, [CI] 1.25-4.52). CONCLUSIONS: Patients residing in urban areas and with fewer comorbidities were more likely to be readmitted to index hospitals than nonindex hospitals. Socioeconomic status and insurance type did not correlate with the type of readmission. Finally, being discharged with home health care was found to be a predictor of readmission to an index hospital.

Validation of a Discharge Risk Calculator for Rural Patients Following Total Joint Arthroplasty.

BACKGROUND: As the volume of total joint arthroplasty in the US continues to grow, new challenges surrounding appropriate discharge surface. Arthroplasty literature has demonstrated discharge disposition to postacute care facilities carries major risks regarding the need for revision surgery, patient comorbidities, and financial burden. To quantify, categorize, and mitigate risks, a decision tool that uses preoperative patient variables has previously been published and validated using an urban patient population. The aim of our investigation was to validate the same predictive model using patients in a rural setting undergoing total knee arthroplasty (TKA) and total hip arthroplasty. METHODS: All TKA and THA procedures that were performed between January 2012 and September 2022 at our institution were collected. A total of 9,477 cases (39.6% TKA, 60.4% THA) were included for the validation analysis. There were 9 preoperative variables that were extracted in an automated fashion from the electronic medical record. Included patients were then run through the predictive model, generating a risk score representing that patient's differential risk of discharge to a skilled nursing facility versus home. Overall accuracy, sensitivity and specificity were calculated after obtaining risk scores. RESULTS: Score cutoff equally maximizing sensitivity and specificity was 0.23, and the proportion of correct classifications by the predictive tool in this study population was found to be 0.723, with an area under the curve of 0.788 - both higher than previously published accuracy levels. With the threshold of 0.23, sensitivity and specificity were found to be 0.720 and 0.723, respectively. CONCLUSIONS: The risk calculator showed very good accuracy, sensitivity, and specificity in predicting discharge location for rural patients undergoing TKA and THA, with accuracy even higher than in urban populations. The model provides an easy-to-use interface, with automation representing a viable tool in helping with shared decision-making regarding postoperative discharge plans.

Who Can Be Discharged Home after Adult Spinal Deformity Surgery?

Introduction: After adult spinal deformity (ASD) surgery, patients often require postoperative rehabilitation at an inpatient rehabilitation (IPR) center or a skilled nursing facility (SNF). However, home discharge is often preferred by patients and hsas been shown to decrease costs. In a cohort of patients undergoing ASD surgery, we sought to (1) report the incidence of discharge to home, (2) determine the factors significantly associated with discharge to home in the form of a simple scoring system, and (3) evaluate the impact of discharge disposition on patient-reported outcome measures (PROMs). Methods: A single-institution, retrospective cohort study was undertaken for patients undergoing ASD surgery from 2009 to 2021. Inclusion criteria were ≥ 5-level fusion, sagittal/coronal deformity, and at least 2-year follow-up. Exposure variables included preoperative, perioperative, and radiographic data. The primary outcome was discharge status (dichotomized as home vs. IPR/SNF). Secondary outcomes included PROMs, such as the numeric rating scales (NRSs) for back and leg pain, the Oswestry Disability Index (ODI), and EQ-5D. A subanalysis comparing IPR to SNF discharge was conducted. Univariate analysis was performed. Results: Of 221 patients undergoing ASD surgery with a mean age of 63.6 ± 17.6, 112 (50.6%) were discharged home, 71 (32.2%) were discharged to an IPR center, and 38 (17.2%) were discharged to an SNF. Patients discharged home were significantly younger (55.7 ± 20.1 vs. 71.8 ± 9.1, p < 0.001), had lower rate of 2+ comorbidities (38.4% vs. 45.0%, p = 0.001), and had less hypertension (57.1% vs. 75.2%, p = 0.005). Perioperatively, patients who were discharged home had significantly fewer levels instrumented (10.0 ± 3.0 vs. 11.0 ± 3.4 levels, p = 0.030), shorter operative times (381.4 ± 139.9 vs. 461.6 ± 149.8 mins, p < 0.001), less blood loss (1101.0 ± 977.8 vs. 1739.7 ± 1332.9 mL, p < 0.001), and shorter length of stay (5.4 ± 2.8 vs. 9.3 ± 13.9 days, p < 0.001). Radiographically, preoperative SVA (9.1 ± 6.5 vs. 5.2 ± 6.8 cm, p < 0.001), PT (27.5 ± 11.1° vs. 23.4 ± 10.8°, p = 0.031), and T1PA (28.9 ± 12.7° vs. 21.6 ± 13.6°, p < 0.001) were significantly higher in patients who were discharged to an IPR center/SNF. Additionally, the operating surgeon also significantly influenced the disposition status (p < 0.001). A scoring system of the listed factors was proposed and was validated using univariate logistic regression (OR = 1.55, 95%CI = 1.34-1.78, p < 0.001) and ROC analysis, which revealed a cutoff value of > 6 points as a predictor of non-home discharge (AUC = 0.75, 95%CI = 0.68-0.80, p < 0.001, sensitivity = 63.3%, specificity = 74.1%). The factors in the scoring system were age > 56, comorbidities ≥ 2, hypertension, TIL ≥ 10, operative time > 357 mins, EBL > 1200 mL, preop SVA > 6.6 cm, preop PT > 33.6°, and preop T1PA > 15°. When comparing IPR (n = 71) vs. SNF (n = 38), patients discharged to an SNF were significantly older (74.4 ± 8.6 vs. 70.4 ± 9.1, p = 0.029) and were more likely to be female (89.5% vs. 70.4%, p = 0.024). Conclusions: Approximately 50% of patients were discharged home after ASD surgery. A simple scoring system based on age > 56, comorbidities ≥ 2, hypertension, total instrumented levels ≥ 10, operative time > 357 mins, EBL > 1200 mL, preop SVA > 6.6 cm, preop PT > 33.6°, and preop T1PA > 15° was proposed to predict non-home discharge. These findings may help guide postoperative expectations and resource allocation after ASD surgery.

Preoperative patient-reported physical health-related quality of life predicts short-term postoperative outcomes in brain tumor patients.

BACKGROUND: Patient-reported outcome measures (PROMs) are increasingly used to assess patients' perioperative health. The PROM Information System 29 (PROMIS-29) is a well-validated global health assessment instrument for patient physical health, though its utility in cranial neurosurgery is unclear. OBJECTIVE: To investigate the utility of preoperative PROMIS-29 physical health (PH) summary scores in predicting postoperative outcomes in brain tumor patients. METHODS: Adult brain tumor patients undergoing resection at a single institution (January 2018-December 2021) were identified and prospectively received PROMIS-29 surveys during pre-operative visits. PH summary scores were constructed and optimum prediction thresholds for length of stay (LOS), discharge disposition (DD), and 30-day readmission were approximated by finding the Youden index of the associated receiver operating characteristic curves. Bivariate analyses were used to study the distribution of low (z-score≤-1) versus high (z-score>-1) PH scores according to baseline characteristics. Logistic regression models quantified the association between preoperative PH summary scores and post-operative outcomes. RESULTS: A total of 157 brain tumor patients were identified (mean age 55.4±15.4 years; 58.0% female; mean PH score 45.5+10.5). Outcomes included prolonged LOS (24.8%), non-routine discharge disposition (37.6%), and 30-day readmission (19.1%). On bivariate analysis, patients with low PH scores were significantly more likely to be diagnosed with a high-grade tumor (69.6% vs 38.85%, p=0.010) and less likely to have elective surgery (34.8% vs 70.9%, p=0.002). Low PH score was associated with prolonged LOS (26.1% vs 22%, p<0.001), nonroutine discharge (73.9% vs 31.3%, p<0.001) and 30-day readmission (43.5% vs 14.9%, p=0.003). In multivariate analysis, low PH scores predicted greater LOS (odds ratio [OR]=6.09, p=0.003), nonroutine discharge (OR=4.25, p=0.020), and 30-day readmission (OR=3.93, p=0.020). CONCLUSION: The PROMIS-29 PH summary score predicts short-term postoperative outcomes in brain tumor patients and may be incorporated into prospective clinical workflows.

Low Household Income Increases Hospital Length of Stay and Decreases Home Discharge Rates in Lumbar Fusion.

STUDY DESIGN: Retrospective Matched Cohort Study. OBJECTIVES: Low median household income (MHI) has been correlated with worsened surgical outcomes, but few studies have rigorously controlled for demographic and medical factors at the patient level. This study isolates the relationship between MHI and surgical outcomes in a lumbar fusion cohort using coarsened exact matching. METHODS: Patients undergoing single-level, posterior lumbar fusion at a single institution were consecutively enrolled and retrospectively analyzed (n = 4263). Zip code was cross-referenced to census data to derive MHI. Univariate regression correlated MHI to outcomes. Patients with low MHI were matched to those with high MHI based on demographic and medical factors. Outcomes evaluated included complications, length of stay, discharge disposition, 30- and 90 day readmissions, emergency department (ED) visits, reoperations, and mortality. RESULTS: By univariate analysis, MHI was significantly associated with 30- and 90 day readmission, ED visits, reoperation, and non-home discharge, but not mortality. After exact matching (n = 270), low-income patients had higher odds of non-home discharge (OR = 2.5, P = .016) and higher length of stay (mean 100.2 vs 92.6, P = .02). There were no differences in surgical complications, ED visits, readmissions, or reoperations between matched groups. CONCLUSIONS: Low MHI was significantly associated with adverse short-term outcomes from lumbar fusion. A matched analysis controlling for confounding variables uncovered longer lengths of stay and higher rates of discharge to post-acute care (vs home) in lower MHI patients. Socioeconomic disparities affect health beyond access to care, worsen surgical outcomes, and impose costs on healthcare systems. Targeted interventions must be implemented to mitigate these disparities.

Machine learning decision support model for discharge planning in stroke patients.

BACKGROUND/AIM: Efficient discharge for stroke patients is crucial but challenging. The study aimed to develop early predictive models to explore which patient characteristics and variables significantly influence the discharge planning of patients, based on the data available within 24 h of admission. DESIGN: Prospective observational study. METHODS: A prospective cohort was conducted at a university hospital with 523 patients hospitalised for stroke. We built and trained six different machine learning (ML) models, followed by testing and tuning those models to find the best-suited predictor for discharge disposition, dichotomized into home and non-home. To evaluate the accuracy, reliability and interpretability of the best-performing models, we identified and analysed the features that had the greatest impact on the predictions. RESULTS: In total, 523 patients met the inclusion criteria, with a mean age of 61 years. Of the patients with stroke, 30.01% had non-home discharge. Our model predicting non-home discharge achieved an area under the receiver operating characteristic curve of 0.95 and a precision of 0.776. After threshold was moved, the model had a recall of 0.809. Top 10 variables by importance were National Institutes of Health Stroke Scale (NIHSS) score, family income, Barthel index (BI) score, FRAIL score, fall risk, pressure injury risk, feeding method, depression, age and dysphagia. CONCLUSION: The ML model identified higher NIHSS, BI, and FRAIL, family income, higher fall risk, pressure injury risk, older age, tube feeding, depression and dysphagia as the top 10 strongest risk predictors in identifying patients who required non-home discharge to higher levels of care. Modern ML techniques can support timely and appropriate clinical decision-making. RELEVANCE TO CLINICAL PRACTICE: This study illustrates the characteristics and risk factors of non-home discharge in patients with stroke, potentially contributing to the improvement of the discharge process. REPORTING METHOD: STROBE guidelines.

Preoperative Education Prior to Hip or Knee Arthroplasty Is Associated With Home Discharge but Not Reduced Length of Stay.

Background: Increasing numbers of patients are undergoing total joint arthroplasty as a treatment for osteoarthritis, which can be an anxiety-provoking experience. Setting expectations through a preoperative physical therapy (pre-op PT) session can alleviate some of these stressors, potentially decrease hospital length of stay (LOS), and promote home discharge. Purpose: We sought to determine whether attending a pre-op PT session is associated with decreased hospital LOS and home discharge in total hip arthroplasty (THA) and total knee arthroplasty (TKA) patients. Methods: A retrospective cohort study was performed of 20,822 patients who underwent THA or TKA between January 2020 and December 2023. Pre-op PT attendance and covariates, including patient demographics and clinical data, were collected and analyzed for association with LOS and discharge disposition. Results: Unadjusted univariate analysis revealed that THA and TKA patients who received pre-op PT had a significantly lower average LOS and were more likely to be discharged home. Our multivariate regression model showed that pre-op PT was not significantly associated with LOS in both groups but was significantly associated with home discharge among THA patients. Conclusions: Our retrospective study of the effect of pre-op PT education on LOS and discharge disposition for elective THA and TKA patients found different results in univariate and multivariate analysis. Further study is needed to confirm the association found on multivariate analysis between pre-op PT and home discharge in THA patients.

The Impact of Social Determinants of Health on Discharge Disposition Following One- and Two-Level Posterior Interbody Fusion.

Background Current research is limited in exploring the impact of social determinants of health (SDOH) on the discharge location within elective spine surgery. Further understanding of the influence of SDOH on disposition is necessary to improve outcomes. This study explores how SDOH influence discharge disposition for patients undergoing one- or two-level posterior interbody fusion (TLIF/PLIF). Methods This was a retrospective propensity-matched cohort study. Patients who underwent TLIF/PLIF between 2017 and 2020 at a single academic medical center were identified. The chart review gathered demographics, perioperative characteristics, intra/post-operative complications, discharge disposition, and 90-day outcomes. Discharge dispositions included subacute nursing facility (SNF), home with self-care (HSC), home with health services (HHS), and acute rehab facility (ARF). Demographic, perioperative, and disposition outcomes were analyzed by chi-square analysis and one-way ANOVA based on gender, race, and income quartiles. Results Propensity score matching for significant demographic factors isolated 326 patients. The rate of discharge to SNF was higher in females compared to males (25.00% vs 10.56%; p=0.001). Men were discharged to home at a higher rate than women (75.4% vs 61.95%; p=0.010). LatinX patients had the highest rate of home discharge, followed by Asians, Caucasians, and African Americans (83.33% vs 70.31% vs 66.45% vs 65.90%; p<0.001). The post hoc Tukey test demonstrated statistically significant differences between Asians and all other races in the context of age and BMI. Additionally, patients discharged to SNF showed the highest Charlson comorbidity index (CCI) score, followed by those at ARF, HHS, and HSC (4.36 vs 4.05 vs 2.87 vs 2.37; p<0.001). The estimated median income for the cohort ranged from $52,000 to $250,001, with no significant differences in income seen across comparisons. Conclusion Discharge disposition following one- or two-level TLIF/PLIF shows significant association with gender and race. No association was seen when comparing discharge rates among zip code-level median income quartiles.

To Stage or Not to Stage? Comparison of Patient-Reported Outcomes, Complications, and Discharge Disposition After Staged and Simultaneous Bilateral Posterior Total Hip Arthroplasty.

BACKGROUND: Patients who have bilateral hip arthritis can be treated with bilateral total hip arthroplasty (bTHA) in either a staged or simultaneous fashion. The goal of this study was to determine whether staged and simultaneous posterior bTHA patients differ in regard to (1) patient-reported outcome measures, (2) 90-day complication rates, and (3) discharge dispositions and cumulative lengths of stay. METHODS: Patients who (1) underwent simultaneous bTHA or staged bTHA (within 12 months) using the posterior approach, and (2) completed preoperative and 1-year postoperative Hip dysfunction and Osteoarthritis Outcome Score for Joint Replacement surveys were included in the study. A total of 266 patients (87 simultaneous bTHA and 179 staged bTHA) were included. Chart review was performed to collect patient-level variables, postoperative complications, discharge dispositions, and lengths of stay. RESULTS: Staged bTHA patients had higher Hip dysfunction and Osteoarthritis Outcome Score for Joint Replacement, Lower Extremity Activity Scale, and Veterans RAND 12-Item Health Survey physical component scores compared to simultaneous bTHA patients at 6 weeks after surgery (P = .019, .006, and .008, respectively), but these differences did not meet the minimal clinically important difference threshold for any questionnaire. Simultaneous bTHA was associated with higher rate of periprosthetic fractures (P = .034) and discharge to a location other than home (P < .001). CONCLUSIONS: There were statistically significant, but likely not clinically meaningful differences in patient-reported outcomes for staged and simultaneous bTHA patients at 6 weeks after surgery. Surgeons should be aware of the higher periprosthetic fracture risk and greater likelihood of discharge to a rehabilitation facility associated with simultaneous bTHA. Further research should aim to understand which patients may benefit most from simultaneous bTHA.

Discharge planning and resource utilization for minimizing readmissions in acute exacerbation of chronic heart failure: Insights from an observational study in a community hospital.

This cross-sectional study analyzed discharge disposition in 1,584 readmitted patients aged 65 or older with acute exacerbation of chronic heart failure (AECHF) in a large community hospital from April 2021 to April 2022. The study aimed to explore the relationship between age (65-74, 75-85, and 85 or older) and gender (male, female) with discharge disposition. Results revealed that 55.6 % were discharged for home self-care, 27.3 % with external home health support, and 17.1 % to skilled nursing facilities. Logistic regression showed no significant differences in discharge between age groups. Gender also had no statistically significant effect on discharge disposition. Effective discharge planning emerged as a key factor in reducing readmissions for AECHF. Gender did not significantly impact disposition, suggesting other variables played a more pivotal role. Comprehensive discharge planning and resource allocation, tailored to patient needs, are recommended to enhance patient outcomes and lower AECHF readmission rates.

Impact of Treatment Modalities on Discharge Disposition in Blunt Splenic Injuries.

BACKGROUND: Management of blunt splenic trauma has evolved over several decades, trending towards nonoperative management and splenic artery embolization. Extensive research has been conducted regarding the management of blunt splenic injuries, but there is little data on the association of treatment modality with discharge disposition. METHODS: This is an observational retrospective study conducted at a level-one trauma center with blunt splenic trauma patients of age ≥18 years between January 2010 and December 2021. The primary outcome of unfavorable discharge was defined as discharge to an acute care facility, intermediate care facility, long-term care facility, rehabilitation (inpatient) facility, or skilled nursing facility. RESULTS: Five hundred seventy-nine patients were included in the analysis, with 108 (18.7%) in the unfavorable group and 471 (81.3%) in the favorable group. Most patients were managed nonoperatively (69.3%), followed by splenectomy (25.0%) and embolization (5.7%). Due to the low number of embolizations performed during the study period, treatment modalities were grouped into two broad categories: intervention (embolization and splenectomies) and nonintervention. The treatment modality was found to have no significant impact on unfavorable discharge. Independent risk factors for unfavorable discharge included age >55 years, injury severity score (ISS) >15, hospital-acquired pneumonia, and in-hospital complications of sepsis. CONCLUSIONS: This study provides an understanding of specific demographic and clinical factors that may predispose blunt splenic injury trauma patients to an unfavorable discharge. Providers may apply these data to identify at-risk patients and subsequently adapt the care they provide in an effort to prevent the development of in-hospital pneumonia and sepsis.

In-Hospital Mortality Risk and Discharge Disposition Following Hip Fractures: An Analysis of the Texas Trauma Registry.

Background: In-hospital mortality and discharge disposition following traumatic hip fractures previously reported in the literature, has mainly focused on a nationwide scale, which may not be reflective of unique populations. Objective: Our aim was to characterize demographics, hospital disposition, and associated outcomes for patients with the most common hip fractures. Methods: A retrospective study utilizing the Trauma Registry from the Texas Department of State Health Services. Patient demographics, injury characteristics, and outcomes, such as in-hospital mortality, and discharge dispositions, were collected. The data were analyzed via univariate analysis and multivariate regressions. Results: There were 17,104 included patients, composed of 45% femoral neck fractures (FN) and 55% intertrochanteric fractures (IT). There were no differences in injury severity score (ISS) (9 ± 1.8) or age (77.4 ± 8 years old) between fracture types. In-hospital mortality risk was low but different among fracture types (intertrochanteric, 1.9% vs femoral neck, 1.3%, P = .004). However, when controlling for age, and ISS, intertrochanteric fractures and Hispanic patients were associated with higher mortality (P < .001, OR 1.5, 95% CI 1.1-2.0). Uninsured, and Black/African American (P = .05, OR 1.2, 95% CI 1.1-1.3) and Hispanic (P < .001, OR 1.2, 95% CI 1.1-1.3) patients were more likely to be discharged home after adjusting for age, ISS, and payment method. Conclusion: Regardless of age, severity of the injury or admission hemodynamics, intertrochanteric fractures and Hispanic/Latino patients had an increased risk of in-hospital mortality. Patients who were uninsured, Hispanic, or Black were discharged home rather than to rehabilitation, regardless of age, ISS, or payment method.

Why Do Patients Choose Skilled Nursing Facilities After Total Hip and Knee Arthroplasty?

BACKGROUND: Current research indicates that total joint arthroplasty patients who are discharged to skilled nursing facilities (SNFs) have higher complication rates as compared to home. Many factors like age, sex, race, Medicare status, and past medical history have been shown to influence discharge destination. The present study sought to gather patient-indicated reasons for SNF discharge and identify potentially modifiable factors influencing the decision. METHODS: Primary total joint arthroplasty patients were asked to complete surveys at their presurgical and 2-week postsurgical follow-up appointments. The surveys included home access and social support questions as well as patient-reported outcome measures: Patient-Reported Outcomes Measurement and Information System, Risk Assessment and Prediction Tool, Knee injury and Osteoarthritis Outcome Score for Joint Replacement, or Hip dysfunction and Osteoarthritis Outcome Score for Joint Replacement. RESULTS: Of 765 patients who met inclusion criteria, 3.9% were discharged to an SNF and these were more frequently post-THA, women, older, Black, and persons living alone. Regression analyses indicated that lower Risk Assessment and Prediction Tool score, higher age, no caregiver presence, and Black race were significantly associated with SNF discharge. Patients discharged to an SNF most commonly reported social concerns rather than medical or home access concerns as the main factor for SNF discharge. CONCLUSIONS: While age and sex are nonmodifiable factors, the availability of a caregiver and social support represents an important modifiable factor in regard to discharge destination. Dedicated attention during the preoperative planning period may help augment social support and avoid unnecessary discharges to SNFs.

Prediction of Non-Home Discharge Following Total Hip Arthroplasty in Geriatric Patients.

Introduction: The majority of total hip arthroplasty (THA) patients are discharged home postoperatively, however, many still require continued medical care. We aimed to identify important characteristics that predict nonhome discharge in geriatric patients undergoing THA using machine learning. We hypothesize that our analyses will identify variables associated with decreased functional status and overall health to be predictive of non-home discharge. Materials and Methods: Elective, unilateral, THA patients above 65 years of age were isolated in the NSQIP database from 2018-2020. Demographic, pre-operative, and intraoperative variables were analyzed. After splitting the data into training (75%) and validation (25%) data sets, various machine learning models were used to predict non-home discharge. The model with the best area under the curve (AUC) was further assessed to identify the most important variables. Results: In total, 19,840 geriatric patients undergoing THA were included in the final analyses, of which 5194 (26.2%) were discharged to a non-home setting. The RF model performed the best and identified age above 78 years (OR: 1.08 [1.07, 1.09], P < .0001), as the most important variable when predicting non-home discharge in geriatric patients with THA, followed by severe American Society of Anesthesiologists grade (OR: 1.94 [1.80, 2.10], P < .0001), operation time (OR: 1.01 [1.00, 1.02], P < .0001), anemia (OR: 2.20 [1.87, 2.58], P < .0001), and general anesthesia (OR: 1.64 [1.52, 1.79], P < .0001). Each of these variables was also significant in MLR analysis. The RF model displayed good discrimination with AUC = .831. Discussion: The RF model revealed clinically important variables for assessing discharge disposition in geriatric patients undergoing THA, with the five most important factors being older age, severe ASA grade, longer operation time, anemia, and general anesthesia. Conclusions: With the rising emphasis on patient-centered care, incorporating models such as these may allow for preoperative risk factor mitigation and reductions in healthcare expenditure.

Discharge Disposition After Limb Amputation in a Publicly Funded Health Care System.

Understanding discharge disposition (DD) after limb amputation (LA) surgery allows health care providers and policy makers to adapt resources based on need. Studying independent prognostic factors for DD after LA in Canada eliminates the significant influence of payor source, as reported by researchers in the United States. We hypothesize disparities exist among DDs after LA in a publicly funded health care system. Retrospective review of Saskatchewan's linked administrative health data from 2006 to 2019 was used to identify independent socio-demographic factors, amputation levels, amputation predisposing factors (APF), and surgical specialty on 5 DD's: inpatient, continuing care, home with support services (H/W), home with no support services (H/WO), and those who died at the hospital after LA. We found age, amputation level, and APF play a significant role in determining discharge to all dispositions; gender was significantly associated with discharge to continuing care and H/WO; place of residence was associated with discharge to inpatient facilities, continuing care, and H/W; income was not associated with any DD other than H/W; surgical specialty was associated with discharge to all dispositions except death. The findings suggest that disparities in DD following LA exist even after eliminating the influence of payor source. Health care providers and policy makers should consider these findings in preparation for future needs.