Skip to main content
Top
Published in: Clinical Orthopaedics and Related Research® 3/2016

01-03-2016 | Clinical Research

What Are the 30-day Readmission Rates Across Orthopaedic Subspecialties?

Authors: James T. Bernatz, BS, Jonathan L. Tueting, MD, Scott Hetzel, MS, Paul A. Anderson, MD

Published in: Clinical Orthopaedics and Related Research® | Issue 3/2016

Login to get access

Abstract

Background

The Centers for Medicare & Medicaid Services (CMS) now include hip and knee replacements in the Hospital Readmission Reduction Program. The 30-day readmission rate is an important quality metric; however, the incidence has not yet been defined across the numerous orthopaedic subspecialties. Elucidating the readmission rate for each subspecialty may indicate that certain services are being disincentivized by the CMS reimbursement program. Furthermore, the “planned” and “unplanned” definitions of readmission have not been well examined to determine their clinical relevance and representation of safe patient care. Therefore, reducing the 30-day readmission rate has become a top priority in orthopaedic quality assurance.

Questions/purposes

(1) What are the 30-day readmission rates for the different orthopaedic subspecialties? (2) What are the risk factors associated with readmission within 30 days? (3) What are the causes of 30-day readmissions? (4) What is the interrater agreement among CMS, hospital, and clinician definitions of planned and unplanned readmissions?

Methods

We retrospectively examined one tertiary care academic hospital’s quality improvement database and identified 4792 discharges from the department of orthopaedics during a continuous 24-month period. Discharges were divided and analyzed according to the subspecialty of orthopaedic care. Demographics and comorbidities were extracted from the database and subjected to univariate and multivariate analysis to determine risk factors for 30-day readmission. Further chart review was conducted on all cases of 30-day readmission to identify causes. The authors’ determination of planned versus unplanned was compared with two other definitions (hospital and CMS) and analyzed for agreement by using Fleiss’ kappa for multiple rater.

Results

The all-cause 30-day readmission rate was 4% (95% confidence interval [CI], 3.8–4.8). The unplanned readmission rate was 3% (95% CI, 2.8–3.8). After controlling for relevant confounding variables, we found that length of stay (odds ratio [OR], 1.10 per day; p < 0.001), American Society of Anesthesiologists score (OR, 1.89 per point; p < 0.001), and care under trauma (OR, 2.55; p < 0.001) or “other” (OR, 1.65; p = 0.009) as compared with joint subspecialty were associated with increased risk of readmission. Of the 160 unplanned readmissions, 93 (58%) were surgical and 67 (42%) were medical. The most common surgical cause was surgical site infection (38% of surgical readmissions) and the most common medical causes were gastrointestinal bleed, pulmonary embolus, and unrelated trauma (each 9% of medical readmissions). There was poor agreement (Fleiss’ kappa = 0.120) among the three definitions of planned readmission.

Conclusions

There are important differences in the risk of readmission by subspecialty across orthopaedics and the CMS-driven disincentives may be applied unequally across these subspecialties. This could result in hospitals deemphasizing those service lines and could potentially limit access to care for the patients most in need. Avenues of readmission reduction should be further studied including telephone followup programs and outpatient management of threatened wounds. Clinical, hospital, and CMS definitions of planned readmission have poor agreement, suggesting that hospitals are being unnecessarily penalized. The CMS should develop a more clinically relevant definition of 30-day readmission to more accurately evaluate the rate of readmissions.

Level of Evidence

Level III, therapeutic study.
Literature
1.
go back to reference Amin BY, Tu TH, Schairer WW, Na L, Takemoto S, Berven S, Deviren V, Ames C, Chou D, Mummaneni PV. Pitfalls of calculating hospital readmission rates based on nonvalidated administrative data sets. J Neurosurg Spine. 2013;18:134–138.CrossRefPubMed Amin BY, Tu TH, Schairer WW, Na L, Takemoto S, Berven S, Deviren V, Ames C, Chou D, Mummaneni PV. Pitfalls of calculating hospital readmission rates based on nonvalidated administrative data sets. J Neurosurg Spine. 2013;18:134138.CrossRefPubMed
2.
go back to reference Barnett ML, Hsu J, McWilliams J. Patient characteristics and differences in hospital readmission rates. JAMA Intern Med. 14 Sep 2015 [Epub ahead of print]. Barnett ML, Hsu J, McWilliams J. Patient characteristics and differences in hospital readmission rates. JAMA Intern Med. 14 Sep 2015 [Epub ahead of print].
3.
go back to reference Basques BA, Varthi AG, Golinvaux NS, Bohl DD, Grauer JN. Patient characteristics associated with increased postoperative length of stay and readmission after elective laminectomy for lumbar spinal stenosis. Spine (Phila Pa 1976). 2014;39:833–840. Basques BA, Varthi AG, Golinvaux NS, Bohl DD, Grauer JN. Patient characteristics associated with increased postoperative length of stay and readmission after elective laminectomy for lumbar spinal stenosis. Spine (Phila Pa 1976). 2014;39:833840.
4.
go back to reference Brooke BS, Stone DH, Cronenwett JL, Nolan B, DeMartino RR, MacKenzie TA, Goodman DC, Goodney PP. Early primary care provider follow-up and readmission after high-risk surgery. JAMA Surg. 2014;149:821–828. Brooke BS, Stone DH, Cronenwett JL, Nolan B, DeMartino RR, MacKenzie TA, Goodman DC, Goodney PP. Early primary care provider follow-up and readmission after high-risk surgery. JAMA Surg. 2014;149:821828.
8.
go back to reference Clement RC, Derman PB, Graham DS, Speck RM, Flynn DN, Levin LS, Fleisher LA. Risk factors, causes, and the economic implications of unplanned readmissions following total hip arthroplasty. J Arthroplasty. 2013;28(Suppl):7–10.CrossRefPubMed Clement RC, Derman PB, Graham DS, Speck RM, Flynn DN, Levin LS, Fleisher LA. Risk factors, causes, and the economic implications of unplanned readmissions following total hip arthroplasty. J Arthroplasty. 2013;28(Suppl):710.CrossRefPubMed
9.
go back to reference Dailey EA, Cizik A, Kasten J, Chapman JR, Lee MJ. Risk factors for readmission of orthopaedic surgical patients. J Bone Joint Surg Am. 2013;95:1012–1019.CrossRefPubMed Dailey EA, Cizik A, Kasten J, Chapman JR, Lee MJ. Risk factors for readmission of orthopaedic surgical patients. J Bone Joint Surg Am. 2013;95:10121019.CrossRefPubMed
10.
go back to reference Fleiss JL. Measuring nominal scale agreement among many raters. Psychol Bull. 1971;76:378–382.CrossRef Fleiss JL. Measuring nominal scale agreement among many raters. Psychol Bull. 1971;76:378–382.CrossRef
11.
go back to reference Garvin JH, Redd A, Bolton D, Graham P, Roche D, Groeneveld P, Leecaster M, Shen S, Weiner MG. Exploration of ICD-9-CM coding of chronic disease within the Elixhauser Comorbidity Measure in patients with chronic heart failure. Perspect Health Inf Manag. 2013;10:1b.PubMedCentralPubMed Garvin JH, Redd A, Bolton D, Graham P, Roche D, Groeneveld P, Leecaster M, Shen S, Weiner MG. Exploration of ICD-9-CM coding of chronic disease within the Elixhauser Comorbidity Measure in patients with chronic heart failure. Perspect Health Inf Manag. 2013;10:1b.PubMedCentralPubMed
12.
go back to reference Gu Q, Koenig L, Faerberg J, Steinberg CR, Vaz C, Wheatley MP. The Medicare Hospital Readmissions Reduction Program: potential unintended consequences for hospitals serving vulnerable populations. Health Serv Res. 2014;49:818–837.PubMedCentralCrossRefPubMed Gu Q, Koenig L, Faerberg J, Steinberg CR, Vaz C, Wheatley MP. The Medicare Hospital Readmissions Reduction Program: potential unintended consequences for hospitals serving vulnerable populations. Health Serv Res. 2014;49:818837.PubMedCentralCrossRefPubMed
13.
go back to reference Harrison JD, Auerbach AD, Quinn K, Hynoch E, Mourad M. Assessing the impact of nurse post-discharge telephone calls on 30-day hospital readmission rates. J Gen Intern Med. 2014;29:1519–1525.PubMedCentralCrossRefPubMed Harrison JD, Auerbach AD, Quinn K, Hynoch E, Mourad M. Assessing the impact of nurse post-discharge telephone calls on 30-day hospital readmission rates. J Gen Intern Med. 2014;29:15191525.PubMedCentralCrossRefPubMed
14.
go back to reference Hechenbleikner EM, Makary MA, Samarov DV, Bennett JL, Gearhart SL, Efron JE, Wick EC. Hospital readmission by method of data collection. J Am Coll Surg. 2013;216:1150–1158.CrossRefPubMed Hechenbleikner EM, Makary MA, Samarov DV, Bennett JL, Gearhart SL, Efron JE, Wick EC. Hospital readmission by method of data collection. J Am Coll Surg. 2013;216:11501158.CrossRefPubMed
15.
go back to reference Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009;360:1418–1428.CrossRefPubMed Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009;360:14181428.CrossRefPubMed
16.
go back to reference Kim BD, Smith TR, Lim S, Cybulski GR, Kim JY. Predictors of unplanned readmission in patients undergoing lumbar decompression: multi-institutional analysis of 7016 patients. J Neurosurg Spine. 2014;20:606–616.CrossRefPubMed Kim BD, Smith TR, Lim S, Cybulski GR, Kim JY. Predictors of unplanned readmission in patients undergoing lumbar decompression: multi-institutional analysis of 7016 patients. J Neurosurg Spine. 2014;20:606616.CrossRefPubMed
17.
go back to reference Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–174.CrossRefPubMed Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159174.CrossRefPubMed
18.
go back to reference Lovecchio F, Hsu WK, Smith TR, Cybulski G, Kim B, Kim JY. Predictors of thirty-day readmission after anterior cervical fusion. Spine (Phila Pa 1976). 2014;39:127–133. Lovecchio F, Hsu WK, Smith TR, Cybulski G, Kim B, Kim JY. Predictors of thirty-day readmission after anterior cervical fusion. Spine (Phila Pa 1976). 2014;39:127133.
19.
go back to reference McCormack R, Michels R, Ramos N, Hutzler L, Slover JD, Bosco JA. Thirty-day readmission rates as a measure of quality: causes of readmission after orthopedic surgeries and accuracy of administrative data. J Healthc Manag. 2013;58:64–76; discussion 76–77. McCormack R, Michels R, Ramos N, Hutzler L, Slover JD, Bosco JA. Thirty-day readmission rates as a measure of quality: causes of readmission after orthopedic surgeries and accuracy of administrative data. J Healthc Manag. 2013;58:6476; discussion 7677.
20.
go back to reference McCormack RA, Hunter T, Ramos N, Michels R, Hutzler L, Bosco JA. An analysis of causes of readmission after spine surgery. Spine (Phila Pa 1976). 2012;37:1260–1266. McCormack RA, Hunter T, Ramos N, Michels R, Hutzler L, Bosco JA. An analysis of causes of readmission after spine surgery. Spine (Phila Pa 1976). 2012;37:12601266.
22.
go back to reference Mesko NW, Bachmann KR, Kovacevic D, LoGrasso ME, O’Rourke C, Froimson MI. Thirty-day readmission following total hip and knee arthroplasty–a preliminary single institution predictive model. J Arthroplasty. 2014;29:1532–1538.CrossRefPubMed Mesko NW, Bachmann KR, Kovacevic D, LoGrasso ME, O’Rourke C, Froimson MI. Thirty-day readmission following total hip and knee arthroplasty–a preliminary single institution predictive model. J Arthroplasty. 2014;29:15321538.CrossRefPubMed
23.
go back to reference Pugely AJ, Martin CT, Gao Y, Mendoza-Lattes S. Causes and risk factors for 30-day unplanned readmissions after lumbar spine surgery. Spine (Phila Pa 1976). 2014;39:761–768. Pugely AJ, Martin CT, Gao Y, Mendoza-Lattes S. Causes and risk factors for 30-day unplanned readmissions after lumbar spine surgery. Spine (Phila Pa 1976). 2014;39:761768.
24.
go back to reference Sacks GD, Dawes AJ, Russell MM, Lin AY, Maggard-Gibbons M, Winograd D, Chung HR, Tomlinson J, Tillou A, Shew SB, Hiyama DT, Cryer HG, Brunicardi FC, Hiatt JR, Ko C. Evaluation of hospital readmissions in surgical patients: do administrative data tell the real story? JAMA Surg. 2014;149:759–764.CrossRefPubMed Sacks GD, Dawes AJ, Russell MM, Lin AY, Maggard-Gibbons M, Winograd D, Chung HR, Tomlinson J, Tillou A, Shew SB, Hiyama DT, Cryer HG, Brunicardi FC, Hiatt JR, Ko C. Evaluation of hospital readmissions in surgical patients: do administrative data tell the real story? JAMA Surg. 2014;149:759764.CrossRefPubMed
25.
go back to reference Schaeffer JF, Scott DJ, Godin JA, Attarian DE, Wellman SS, Mather RC 3rd. The association of ASA class on total knee and total hip arthroplasty readmission rates in an academic hospital. J Arthroplasty. 2015;30:723–727.CrossRefPubMed Schaeffer JF, Scott DJ, Godin JA, Attarian DE, Wellman SS, Mather RC 3rd. The association of ASA class on total knee and total hip arthroplasty readmission rates in an academic hospital. J Arthroplasty. 2015;30:723727.CrossRefPubMed
26.
go back to reference Schairer WW, Carrer A, Deviren V, Hu SS, Takemoto S, Mummaneni P, Chou D, Ames C, Burch S, Tay B, Sawyer A, Berven SH. Hospital readmission after spine fusion for adult spinal deformity. Spine (Phila Pa 1976). 2013;38:1681–1689. Schairer WW, Carrer A, Deviren V, Hu SS, Takemoto S, Mummaneni P, Chou D, Ames C, Burch S, Tay B, Sawyer A, Berven SH. Hospital readmission after spine fusion for adult spinal deformity. Spine (Phila Pa 1976). 2013;38:16811689.
27.
go back to reference Schairer WW, Sing DC, Vail TP, Bozic KJ. Causes and frequency of unplanned hospital readmission after total hip arthroplasty. Clin Orthop Relat Res. 2014;472:464–470.PubMedCentralCrossRefPubMed Schairer WW, Sing DC, Vail TP, Bozic KJ. Causes and frequency of unplanned hospital readmission after total hip arthroplasty. Clin Orthop Relat Res. 2014;472:464470.PubMedCentralCrossRefPubMed
28.
go back to reference Zmistowski B, Restrepo C, Hess J, Adibi D, Cangoz S, Parvizi J. Unplanned readmission after total joint arthroplasty: rates, reasons, and risk factors. J Bone Joint Surg Am. 2013;95:1869–1876.CrossRefPubMed Zmistowski B, Restrepo C, Hess J, Adibi D, Cangoz S, Parvizi J. Unplanned readmission after total joint arthroplasty: rates, reasons, and risk factors. J Bone Joint Surg Am. 2013;95:18691876.CrossRefPubMed
Metadata
Title
What Are the 30-day Readmission Rates Across Orthopaedic Subspecialties?
Authors
James T. Bernatz, BS
Jonathan L. Tueting, MD
Scott Hetzel, MS
Paul A. Anderson, MD
Publication date
01-03-2016
Publisher
Springer US
Published in
Clinical Orthopaedics and Related Research® / Issue 3/2016
Print ISSN: 0009-921X
Electronic ISSN: 1528-1132
DOI
https://doi.org/10.1007/s11999-015-4602-5

Other articles of this Issue 3/2016

Clinical Orthopaedics and Related Research® 3/2016 Go to the issue