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Dhodapkar MM, Gouzoulis MJ, Halperin SJ, Radford ZJ, Rubin LE, Grauer JN. Urgent Care Visits Sought After Primary Total Hip Arthroplasty: A Potentially Overlooked Resource. J Arthroplasty 2023; 38:2361-2365. [PMID: 37196730 DOI: 10.1016/j.arth.2023.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 05/06/2023] [Accepted: 05/08/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Following total hip arthroplasty (THA), readmissions and emergency department (ED) visits have been studied. Urgent care utilization is not well-characterized and may represent an overlooked avenue to facilitate lesser acuity patient needs. METHODS Primary THAs performed for osteoarthritis indications were identified from 2010 to April of 2021 from a large national database. The incidence and timing of 90-day postoperative ED and urgent care visits were determined. Univariable and multivariable analyses assessed factors associated with urgent care relative to ED utilization. Reasons and acuity of diagnoses for these visits were determined. For 213,189 THA patients, 90-day ED visits were identified for 37,692 (17.7%) and urgent care visits for 2,083 (1.0%). The greatest incidence of both ED and urgent care visits were in the first two postoperative weeks. RESULTS Independent predictors of urgent care utilization relative to ED utilization were: procedures being performed in the Northeast or South, insurance plan being Commercial, women, and lesser comorbidity burden (P < .0001). Reason for visits to the ED was directly related to the surgical site for 25.6% but for urgent care were just 4.8% (P < .0001). Reasons for visits to the ED were classified as low-acuity for 57.4% and for urgent care 96.9% (P < .0001). CONCLUSION Following THA, patients may need urgent evaluation. While many issues can be addressed through the office, urgent care visits may represent a viable and underused resource relative to the ED for a large percentage of patients who have lower acuity diagnoses.
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Affiliation(s)
- Meera M Dhodapkar
- Yale Department of Orthopaedics and Rehabilitation, New Haven, Connecticut
| | | | - Scott J Halperin
- Yale Department of Orthopaedics and Rehabilitation, New Haven, Connecticut
| | - Zachary J Radford
- Yale Department of Orthopaedics and Rehabilitation, New Haven, Connecticut
| | - Lee E Rubin
- Yale Department of Orthopaedics and Rehabilitation, New Haven, Connecticut
| | - Jonathan N Grauer
- Yale Department of Orthopaedics and Rehabilitation, New Haven, Connecticut
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Development and internal validation of predictive models to assess risk of post-acute care facility discharge in adults undergoing multi-level instrumented fusions for lumbar degenerative pathology and spinal deformity. Spine Deform 2023; 11:163-173. [PMID: 36125738 PMCID: PMC9768002 DOI: 10.1007/s43390-022-00582-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 08/27/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE To develop a model for factors predictive of Post-Acute Care Facility (PACF) discharge in adult patients undergoing elective multi-level (≥ 3 segments) lumbar/thoracolumbar spinal instrumented fusions. METHODS The State Inpatient Databases acquired from the Healthcare Cost and Utilization Project from 2005 to 2013 were queried for adult patients who underwent elective multi-level thoracolumbar fusions for spinal deformity. Outcome variables were classified as discharge to home or PACF. Predictive variables included demographic, pre-operative, and operative factors. Univariate and multivariate logistic regression analyses informed development of a logistic regression-based predictive model using seven selected variables. Performance metrics included area under the curve (AUC), sensitivity, and specificity. RESULTS Included for analysis were 8866 patients. The logistic model including significant variables from multivariate analysis yielded an AUC of 0.75. Stepwise logistic regression was used to simplify the model and assess number of variables needed to reach peak AUC, which included seven selected predictors (insurance, interspaces fused, gender, age, surgical region, CCI, and revision surgery) and had an AUC of 0.74. Model cut-off for predictive PACF discharge was 0.41, yielding a sensitivity of 75% and specificity of 59%. CONCLUSIONS The seven variables associated significantly with PACF discharge (age > 60, female gender, non-private insurance, primary operations, instrumented fusion involving 8+ interspaces, thoracolumbar region, and higher CCI scores) may aid in identification of adults at risk for discharge to a PACF following elective multi-level lumbar/thoracolumbar spinal fusions for spinal deformity. This may in turn inform discharge planning and expectation management.
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Wang A, Si F, Wang T, Yuan S, Fan N, Du P, Wang L, Zang L. Early Readmission and Reoperation After Percutaneous Transforaminal Endoscopic Decompression for Degenerative Lumbar Spinal Stenosis: Incidence and Risk Factors. Risk Manag Healthc Policy 2022; 15:2233-2242. [PMID: 36457819 PMCID: PMC9707549 DOI: 10.2147/rmhp.s388020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/16/2022] [Indexed: 08/30/2023] Open
Abstract
PURPOSE To identify the incidence rates and risk factors for early readmission and reoperation after percutaneous transforaminal endoscopic decompression (PTED) for degenerative lumbar spinal stenosis (DLSS). PATIENTS AND METHODS A total of 1011 DLSS patients who underwent PTED were retrospectively evaluated. Of them, 58 were readmitted, and 31 underwent reoperation. The patients were matched with 174 control patients to perform case-control analyses. The clinical and preoperative imaging data of each patient were recorded. Univariate analyses were performed using independent sample t-tests and Fisher's exact tests. Furthermore, the risk factors for early readmission and reoperation were analyzed using multivariate logistic regression analyses. RESULTS The incidence rates of readmission and reoperation within 90 days after PTED were 5.7% and 3.1%, respectively. Age (odds ratio [OR]=1.054, p=0.001), BMI (OR=1.104, p=0.041), a history of lumbar surgery (OR=3.260, p=0.014), and the number of levels with radiological lumbar foraminal stenosis (LFS, OR=2.533, p<0.001) were independent risk factors for early readmission. The number of levels with radiological LFS (OR=5.049, p<0.001), the grade of surgical-level facet joint degeneration (OR=2.010, p=0.023), and a history of lumbar surgery (OR=10.091, p<0.001) were independent risk factors for early reoperation. CONCLUSION This study confirmed that aging, a higher BMI, a history of lumbar surgery, and more levels with radiological LFS were associated with a higher risk of early readmission. More levels with radiological LFS, a higher grade of surgical-level facet joint degeneration, and a history of lumbar surgery were predictors of early reoperation. These results are helpful in patient counseling and perioperative evaluation of PTED.
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Affiliation(s)
- Aobo Wang
- Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Fangda Si
- Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Tianyi Wang
- Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Shuo Yuan
- Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Ning Fan
- Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Peng Du
- Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Lei Wang
- Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Lei Zang
- Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
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Rohrer F, Haddenbruch D, Noetzli H, Gahl B, Limacher A, Hermann T, Bruegger J. Readmissions after elective orthopedic surgery in a comprehensive co-management care system-a retrospective analysis. Perioper Med (Lond) 2021; 10:47. [PMID: 34906233 PMCID: PMC8672479 DOI: 10.1186/s13741-021-00218-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 09/06/2021] [Indexed: 11/21/2022] Open
Abstract
Background No surgical intervention is without risk. Readmissions and reoperations after elective orthopedic surgery are common and are also stressful for the patient. It has been shown that a comprehensive ortho-medical co-management model decreases readmission rates in older patients suffering from hip fracture; but it is still unclear if this also applies to elective orthopedic surgery. The aim of the current study was to determine the proportion of unplanned readmissions or returns to operating room (for any reason) across a broad elective orthopedic population within 90 days after elective surgery. All cases took place in a tertiary care center using co-management care and were also assessed for risk factors leading to readmission or unplanned return to operating room (UROR). Methods In this observational study, 1295 patients undergoing elective orthopedic surgery between 2015 and 2017 at a tertiary care center in Switzerland were investigated. The proportion of reoperations and readmissions within 90 days was measured, and possible risk factors for reoperation or readmission were identified using logistic regression. Results In our cohort, 3.2% (42 of 1295 patients) had an UROR or readmission. Sixteen patients were readmitted without requiring further surgery—nine of which due to medical and seven to surgical reasons. Patient-related factors associated with UROR and readmission were older age (67 vs. 60 years; p = 0.014), and American Society of Anesthesiologists physical status (ASA PS) score ≥ 3 (43% vs. 18%; p < 0.001). Surgery-related factors were: implantation of foreign material (62% vs. 33%; p < 0.001), duration of operation (76 min. vs. 60 min; p < 0.001), and spine surgery (57% vs. 17%; p < 0.001). Notably, only spine surgery was also found to be independent risk factor. Conclusion Rates of UROR during initial hospitalization and readmission were lower in the current study than described in the literature. However, several comorbidities and surgery-related risk factors were found to be associated with these events. Although no surgery is without risk, known threats should be reduced and every effort undertaken to minimize complications in high-risk populations. Further prospective controlled research is needed to investigate the potential benefits of a co-management model in elective orthopedic surgery.
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Affiliation(s)
- Felix Rohrer
- Department of Internal Medicine, Sonnenhofspital, 3006, Bern, Switzerland. .,Centre Hospitalier Universitaire Vaudois, CHUV, 1011, Lausanne, Switzerland.
| | | | - Hubert Noetzli
- University of Bern, 3012, Bern, Switzerland.,Orthopaedie Sonnenhof, 3006, Bern, Switzerland
| | - Brigitta Gahl
- Clinical Trials Unit (CTU) Bern, University of Bern, 3012, Bern, Switzerland
| | - Andreas Limacher
- Clinical Trials Unit (CTU) Bern, University of Bern, 3012, Bern, Switzerland
| | - Tanja Hermann
- Stiftung Lindenhof, Campus SLB, Swiss Institute for Translational and Entrepreneurial Medicine, 3010, Bern, Switzerland
| | - Jan Bruegger
- Department of Internal Medicine, Sonnenhofspital, 3006, Bern, Switzerland.,University of Zurich, 8006, Zurich, Switzerland
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Hydrick TC, Rubel N, Renfree S, Lara N, Makovicka JL, Arvind V, Chang M, Chung A. Ninety-Day Readmission in Elective Revision Lumbar Fusion Surgery in the Inpatient Setting. Global Spine J 2020; 10:1027-1033. [PMID: 32875826 PMCID: PMC7645088 DOI: 10.1177/2192568219886535] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
STUDY DESIGN Retrospective review. OBJECTIVES (1) Identify the 90-day rate of readmission following revision lumbar fusion, (2) identify independent risk factors associated with increased rates of readmission within 90 days, (3) and identify the hospital costs associated with revision lumbar fusion and subsequent readmission within 90 days. METHODS Utilizing 2014 data from the Nationwide Readmissions Database, patients undergoing elective revision lumbar fusion were identified. With this sample, multivariate logistic regression was utilized to identify independent predictors of readmission within 90 days. An analysis of total hospital costs was also conducted. RESULTS In 2014, an estimated 14 378 patients underwent elective revision lumbar fusion. The readmission rate at 90 days was 3.1% (n = 446). Diabetes with chronic complications was the only comorbidity found to carry significantly increased odds of readmission. Surgical complications such as deep venous thrombosis, surgical wound disruption, hematoma, and pneumonia (experienced during the index admission) were also independent predictors of readmission. Anterior approaches were associated with increased odds of readmission. The most common related diagnoses on readmission were hardware issues, postoperative infection, and disc herniation. Readmissions were associated with an average of $96 152 in increased hospital costs per patient compared with those not readmitted. CONCLUSION Relevant patient comorbidities and surgical complications were associated with increased readmission within 90 days. Readmission within 90 days was associated with significant increases in hospital costs.
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Affiliation(s)
- Thomas C. Hydrick
- Mayo Clinic, Scottsdale, AZ, USA,Thomas C. Hydrick, Mayo Clinic Alix School of Medicine, 13400 East Shea Boulevard, Scottsdale, AZ 85253, Arizona.
| | | | | | - Nina Lara
- Mayo Clinic Arizona, Phoenix, AZ, USA
| | | | - Varun Arvind
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Wiley MR, Carreon LY, Djurasovic M, Glassman SD, Khalil YH, Kannapel M, Gum JL. Economic analysis of 90-day return to the emergency room and readmission after elective lumbar spine surgery: a single-center analysis of 5444 patients. J Neurosurg Spine 2020; 34:89-95. [PMID: 33007753 DOI: 10.3171/2020.6.spine191477] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 06/01/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE In the future, payers may not cover unplanned 90-day emergency room (ER) visits or readmissions after elective lumbar spine surgery. Prior studies using large administrative databases lack granularity and/or use a proxy for actual cost. The purpose of this study was to identify risk factors and subsequent costs associated with 90-day ER visits and readmissions after elective lumbar spine surgery. METHODS A prospective, multisurgeon, single-center electronic medical record was queried for elective lumbar spine fusion surgeries from 2013 to 2017. Predictive models were created for 90-day ER visits and readmissions. RESULTS Of 5444 patients, 729 (13%) returned to the ER, most often for pain (n = 213, 29%). Predictors of an ER visit were prior ER visit (OR 2.5), underserved zip code (OR 1.4), and number of chronic medical conditions (OR 1.4). In total, 421 (8%) patients were readmitted, most frequently for wound infection (n = 123, 2%), exacerbation of chronic obstructive pulmonary disease (n = 24, 0.4%), and sepsis (n = 23, 0.4%). Predictors for readmission were prior ER visit (OR 1.96), multiple chronic conditions (OR 1.69), obesity (nonobese, OR 0.49), race (African American, OR 1.43), admission status (ER admission, OR 2.29), and elevated hemoglobin A1c (OR 1.80). The mean direct hospital cost for an ER visit was $1971, with 75% of visits costing less than $1890, and the average readmission cost was $7347, with 75% of readmissions costing less than $8820. Over the 5-year study period, the cost to the institution for 90-day return ER visits was $5.1 million. CONCLUSIONS Risk factors for 90-day ER visit and readmission after elective lumbar spine surgery include medical comorbidities and socioeconomic factors. Proper patient counseling, appropriate postoperative pain management, and optimization of modifiable risk factors prior to surgery are areas to focus future efforts to lower 90-day ER visits and readmissions and reduce healthcare costs.
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Ranti D, Mikhail CM, Ranson W, Cho B, Warburton A, Rutland JW, Cheung ZB, Cho SK. Risk Factors for 90-day Readmissions With Fluid and Electrolyte Disorders Following Posterior Lumbar Fusion. Spine (Phila Pa 1976) 2020; 45:E704-E712. [PMID: 32479717 DOI: 10.1097/brs.0000000000003412] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
STUDY DESIGN Retrospective cohort study of the 2012 to 2014 Healthcare Cost and Utilization Project Nationwide Readmissions Database. OBJECTIVE To identify risk factors for 30- and 90-day readmission due to fluid and electrolyte disorders following posterior lumbar fusion. SUMMARY OF BACKGROUND DATA Thirty- and 90-day readmission rates are important quality and outcome measures for hospitals and physicians. These measures have been tied to financial penalties for abnormally high rates of readmission. Furthermore, complex and high cost surgeries have been increasingly reimbursed in the form of bundled disease resource group payments, where any treatment within 90-day postdischarge is covered within the original bundled payment scheme. METHODS A total of 65,121 patients in the Healthcare Cost and Utilization Project Nationwide Readmissions Database met our inclusion criteria, of which 1128 patients (1.7%) were readmitted within 30 days, and 1669 patients (2.6%) were readmitted within 90 days due to fluid and electrolyte abnormalities. A bivariate analysis was performed to compare baseline characteristics between patients readmitted with fluid and electrolyte disorders and the remainder of the cohort. A multivariate regression analysis was then performed to identify independent risk factors for readmission due to fluid and electrolyte disorders at 30 and 90 days. RESULTS The strongest independent predictors of 30-day readmissions were age ≥80 years, age 65 to 79 years, age 55 to 64 years, liver disease, and drug use disorder. The five strongest predictors of 90-day readmissions were age ≥80 years, age 65 to 79 years, age 55 to 64 years, liver disease, and fluid and electrolyte disorders. CONCLUSION Patients with baseline liver disease, previously diagnosed fluid and electrolyte disorders, age older than 55 years, or drug use disorders are at higher risk for readmissions with fluid and electrolyte disorders following posterior lumbar fusion. Close monitoring of fluid and electrolyte balance in the perioperative period is essential to decrease complications and reduce unplanned readmissions. LEVEL OF EVIDENCE 3.
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Affiliation(s)
- Daniel Ranti
- Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY
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