Impact of Race/Ethnicity and Socioeconomic Status on Risk-Adjusted Hospital Readmission Rates Following Hip and Knee Arthroplasty

2016 ◽  
Vol 98 (16) ◽  
pp. 1385-1391 ◽  
Author(s):  
Grant R. Martsolf ◽  
Marguerite L. Barrett ◽  
Audrey J. Weiss ◽  
Ryan Kandrack ◽  
Raynard Washington ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Knee Arthroplasty ◽  
Hospital Readmission ◽  
Readmission Rates ◽  
Hospital Readmission Rates ◽  
Hip And Knee Arthroplasty ◽  
Race Ethnicity

scholarly journals Accounting For Patients’ Socioeconomic Status Does Not Change Hospital Readmission Rates

2016 ◽  
Vol 35 (8) ◽  
pp. 1461-1470 ◽  
Author(s):  
Susannah M. Bernheim ◽  
Craig S. Parzynski ◽  
Leora Horwitz ◽  
Zhenqiu Lin ◽  
Michael J. Araas ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Hospital Readmission ◽  
Readmission Rates ◽  
Hospital Readmission Rates

Predictors of Successful Early Discharge for Total Hip and Knee Arthroplasty in Octogenarians

2021 ◽  
pp. 155633162110306
Author(s):  
Andrew B. Kay ◽  
Danielle Y. Ponzio ◽  
Courtney D. Bell ◽  
Fabio Orozco ◽  
Zachary D. Post ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Knee Arthroplasty ◽  
Early Discharge ◽  
Readmission Rates ◽  
Patients Âgés ◽  
Total Hip ◽  
Hip And Knee Arthroplasty ◽  
Student’S T ◽  
American Society ◽  
American Society Of Anesthesiologists

Background: Decreased length of stay after total joint arthroplasty (TJA) is becoming a more common way to contain healthcare costs and increase patient satisfaction. There is little evidence to support “early” discharge in elderly patients. Purpose: We sought to identify preoperative factors that correlated with early discharge (by postoperative day [POD] 1) in comparison to late discharge (after POD2) in octogenarians after TJA. Methods: In a retrospective cohort study from a single institution, we identified 482 patients ages 80 to 89 who underwent primary TJA from January 2014 to December 2017; 319 had total knee arthroplasty (TKA) and 163 had total hip arthroplasty (THA). Data collected included preoperative knee range of motion (ROM), demographics, and comorbidities; 90-day readmission and mortality rates were also evaluated. P values for continuous data were calculated using student’s t test and for categorical data using χ2 testing. Results: Of octogenarian patients, 30.9% were discharged by POD1. Early discharge was associated with being male, married, and nonsmoking, as well as having an American Society of Anesthesiologists (ASA) score of 2, independent preoperative ambulation, and a postoperative caregiver. Type of procedure (TKA vs THA), body mass index, laterality, preoperative range of motion (ROM) for TKA, and single vs multilevel home did not affect the probability of early discharge. Discharge on POD1 was not associated with increased 90-day readmission rates. There were no deaths. Conclusion: Early discharge for octogenarians can be successfully implemented in a select subset of patients without increasing 90-day readmission or death rates. There are multiple factors that predict successful early discharge.

scholarly journals The Effects of Depression and Anxiety on 90-day Readmission Rates After Total Hip and Knee Arthroplasty

2021 ◽  
Vol 10 ◽  
pp. 175-179
Author(s):  
Paul Knapp ◽  
James T. Layson ◽  
Waleed Mohammad ◽  
Natalie Pizzimenti ◽  
David C. Markel
Keyword(s):  
Knee Arthroplasty ◽  
Depression And Anxiety ◽  
Readmission Rates ◽  
Total Hip ◽  
Hip And Knee Arthroplasty

scholarly journals Impact of Pharmacy Student–Driven Postdischarge Telephone Calls on Heart Failure Hospital Readmission Rates: A Pilot Program

2018 ◽  
Vol 54 (2) ◽  
pp. 100-104 ◽  
Author(s):  
Roda Plakogiannis ◽  
Ana Mola ◽  
Shreya Sinha ◽  
Abraham Stefanidis ◽  
Hannah Oh ◽  
...  
Keyword(s):  
Heart Failure ◽  
Hospital Discharge ◽  
Hospital Readmission ◽  
Pharmacy Students ◽  
Pharmacy Student ◽  
Pilot Program ◽  
Readmission Rates ◽  
Phone Calls ◽  
Hospital Readmission Rates ◽  
Telephone Calls

Background: Heart failure (HF) hospitalization rates have remained high in the past 10 years. Numerous studies have shown significant improvement in HF readmission rates when pharmacists or pharmacy residents conduct postdischarge telephone calls. Objective: The purpose of this retrospective review of a pilot program was to evaluate the impact of pharmacy student–driven postdischarge phone calls on 30- and 90-day hospital readmission rates in patients recently discharged with HF. Methods: A retrospective manual chart review was conducted for all patients who received a telephone call from the pharmacy students. The primary endpoint compared historical readmissions, 30 and 90 days prior to hospital discharge, with 30 and 90 days post discharge readmissions. For the secondary endpoints, historical and postdischarge 30-day and 90-day readmission rates were compared for patients with a primary diagnosis of HF and for patients with a secondary diagnosis of HF. Descriptive statistics were calculated in the form of means and standard deviations for continuous variables and frequencies and percentages for categorical variables. Results: Statistically significant decrease was observed for both the 30-day ( P = .006) and 90-day ( P = .007) readmission periods. Prior to the pharmacy students’ phone calls, the overall group of 131 patients had historical readmission rates of 24.43% within 30 days and 38.17% within 90 days after hospital discharge. After the postdischarge phone calls, the readmission rates decreased to 11.45%, for 30 days, and 22.90%, for 90 days. Conclusion: Postdischarge phone calls, specifically made by pharmacy students, demonstrated a positive impact on reducing HF-associated hospital readmissions, adding to the growing body of evidence of different methods of pharmacy interventions and highlighting the clinical impact pharmacy students may have in transition of care services.

Abstract 169: Targeting Patients with Multiple Readmissions in the Year after Non-ST-Elevation Myocardial Infarction Could Lower Hospital Readmission Rates

2013 ◽  
Vol 6 (suppl_1) ◽  
Author(s):  
Gwen Bernacki ◽  
Karen Alexander ◽  
Matthew Roe ◽  
Shuang Li ◽  
Laine Thomas ◽  
...  
Keyword(s):  
High Risk ◽  
Hospital Readmission ◽  
Transitional Care ◽  
Multivariable Analysis ◽  
Patient Characteristics ◽  
High Risk Group ◽  
Billing Data ◽  
Readmission Rates ◽  
Bundled Payment ◽  
Hospital Readmission Rates

Background: Bundled payment policies have focused on 30-day readmission rates after AMI, yet these are likely to lengthen over time. Identifying patients with multiple readmissions in the year after AMI could help focus transitional care efforts on these high risk patients. Methods: Data from the CRUSADE registry linked to Medicare billing data was used to examine longitudinal outcomes of 32,776 NSTEMI patients ≥ 65 years between 2003 and 2006 with 12-month follow-up. Defining frequent readmissions as ≥3 hospitalizations in 12 months, we compared characteristics of patients frequently readmitted vs. not. The association between frequent readmissions and patient characteristics was examined using multivariable logistic regression. Results: Readmission within 12 months after NSTEMI occurred: once (N=8,830, 26.9%); twice (N=4334, 13.2%); 3 times (N=2,319, 7.1%); ≥4 times (N=2470, 7.5%). Those with multiple (≥3) readmissions (14.6%) were older with recent prior hospitalization and greater prevalence of comorbidities. In multivariable analysis, these factors increased discrimination of patients with frequent readmissions, (c-statistic=0.714). Conclusions: Comorbidities and recent prior hospitalization can predict patients with frequent readmissions. Better understanding of the influence of these clinical factors in this high-risk group presents an opportunity to lower hospital readmission rates.

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