Abstract
IMPORTANCE
Estimates of the 30-day hospital revisit rate following septorhinoplasty and the risk factors associated with revisits are unknown in the current literature. Surgical 30-day readmission rates are important to establish, as they are increasingly used as a quality care metric and can incur future financial penalties from third-party payers and government agencies.
OBJECTIVE
To determine the rate of 30-day hospital revisits following septorhinoplasty and the risk factors associated with revisits.
DESIGN, SETTING, AND PARTICIPANTS
A retrospective cohort analysis was conducted of 175 842 patients undergoing septorhinoplasty between January 1, 2005, and December 31, 2009, using data from the Healthcare Cost and Utilization Project state inpatient database, state ambulatory surgery database, and state emergency department database from California, Florida, and New York. Information on revisits for these patients was collected from the 3 databases between January 1, 2005, and December 31, 2012. Data analysis was conducted from September 1, 2014, to May 1, 2015.
MAIN OUTCOMES AND MEASURES
Hospital revisits within 30 days after an index septorhinoplasty and the primary diagnosis at the time of the revisit were the main outcome measures. The revisit rate was calculated within subgroups of patients based on different demographic and clinical characteristics. A multivariable model was then used to determine independent risk factors for the occurrence of a hospital revisit within 30 days of the septorhinoplasty procedure.
RESULTS
In total, 11 456 of 175 842 patients (6.5%) who underwent septorhinoplasty procedures revisited the hospital within 30 days of the procedure. Most of these revisits (6353 [55.5%]) were to the emergency department. The most common primary diagnosis was bleeding or epistaxis, occurring in 2150 patients (1.2%). Multivariable logistic regression showed that patients aged 41 to 65 years (adjusted odds ratio [aOR], 1.09; 99% CI, 1.02–1.16) or older than 65 years (aOR, 1.23; 99% CI, 1.06–1.43) had an increased revisit rate, as did black patients (aOR, 1.39; 99% CI, 1.16–1.66); those with Medicare (aOR, 1.55; 99% CI, 1.32–1.81) and Medicaid (aOR, 1.63; 99% CI, 1.33–2.01); those with diagnoses of autoimmune disorders or immunodeficiency (aOR, 2.69; 99% CI, 1.20–6.03), coagulopathy (aOR, 2.06; 99% CI, 1.33–3.20), anxiety (aOR, 1.79; 99% CI, 1.55–2.07), and alcohol use (aOR, 1.70; 99% CI, 1.35–2.14); and those who had a conchal cartilage graft (aOR, 2.01; 99% CI, 1.29–3.14).
CONCLUSIONS AND RELEVANCE
The study results suggest that patients with more medical comorbidities and lower socioeconomic status most commonly returned to the emergency department for surgical complications, such as bleeding or epistaxis, in the 30-day period after the procedure. These data provide valuable preoperative counseling information for patients and physicians. In addition, this study provides data to third-party payers or government agencies in which postprocedure readmissions in the 30-day period are used as a quality care metric affecting reimbursements and financial penalties.
Estimates of the 30-day hospital revisit rate following septorhinoplasty and the risk factors associated with revisits are unknown in the current literature. Septorhinoplasty is generally performed as an elective outpatient procedure owing to the expectation of low rates of surgical complications and need for admission in the perioperative period. Surgical 30-day readmission rates are important to establish, as they are increasingly used as a quality care metric and can incur future financial penalties.1 The Hospital Readmissions Reduction Program, established through the Affordable Care Act in 2012, is a program requiring the Centers for Medicare and Medicaid Services to reduce payments to hospitals with excessive 30-day readmissions.1 Initially, only medical conditions were monitored, including acute myocardial infarction, heart failure, and pneumonia. These conditions have since expanded to include surgical procedures, such as total hip and knee arthroplasty as well as coronary artery bypass surgery.
Because many surgical procedures are elective, there is an opportunity to identify patient risk factors associated with a higher rate of hospital revisits and intervene to improve these factors before surgery to reduce revisit rates.2 Several publications about general and orthopedic surgical procedures identified procedural and patient risk factors associated with increased readmission rates,2–5 as have publications focusing on otolaryngology procedures.6–10 The consensus among surgical data is that postsurgical complications are most greatly associated with increased risk of readmission following surgery, but socioeconomic factors and patient comorbidities also have a significant effect.2–10 However, data on the 30-day revisit rate specifically relating to facial plastic surgical procedures, including septorhinoplasty, are still lacking.
The first objective of this study was to evaluate the 30-day hospital revisit rate and the primary diagnosis at the time of revisit for a large cohort of patients undergoing septorhinoplasty, covering all practices (multisurgeon) and institutions. The second objective was to evaluate patient and procedure characteristics associated with increased rates of 30-day hospital revisits. Identification of factors associated with hospital revisits allows for better optimization and preparation of patients and physicians before this elective procedure to reduce 30-day revisit rates and provides normative data to third-party payers. This study uses the same databases that we analyzed to determine septorhinoplasty revision surgery rates,11 which are large all-payer state databases through the Healthcare Cost and Utilization Project sponsored by the Agency for Healthcare Research and Quality, currently comprising the largest collection of longitudinal hospital care data in the United States.12
Methods
Study Design
This study is a secondary data analysis of a cohort of patients who underwent septorhinoplasty between January 1, 2005, and December 31, 2009, in California, Florida, and New York. Information on revisits for these patients was collected from the 3 databases between January 1, 2005, and December 31, 2012. The institutional review board of Washington University in St Louis School of Medicine waived approval of this study as well as the need for informed consent.
Data Sources
The Healthcare Cost and Utilization Project is a group of health care databases and related software tools and products developed through a federal, state, and industry partnership and sponsored by the Agency for Healthcare Research and Quality. This study uses the following 3 Healthcare Cost and Utilization Project databases: the state ambulatory surgery databases (SASD),13 the state inpatient databases (SID),12 and the state emergency department database (SEDD)14 from California, Florida, and New York. These statewide databases contain information from discharge records for all patients regardless of age or payer (Medicare, Medicaid, private insurance, and no insurance). Records from ambulatory surgery visits at hospitals and freestanding ambulatory surgical centers are provided through the SASD. Discharge records of inpatient hospital visits are provided through the SID. Records from emergency department visits are provided through the SEDD.
Individual patients are linked and tracked across all 3 databases with an encrypted patient-level identifier. An encrypted variable for admission date, together with the length of stay, was used to calculate the period between visits for each patient while keeping exact dates encrypted to protect patient confidentiality.12–14
Study Population
Patients 13 years or older who underwent septorhinoplasty at an outpatient surgery center from January 1, 2005, through December 31, 2009, in California, Florida, and New York were identified in the SASD using Current Procedural Terminology codes for primary and secondary septorhinoplasty (30400, 30410, 30420, 30430, 30435, 30450, 30460, 30462, 30465, and 30520).
The index septorhinoplasty procedure was defined as the first septorhinoplasty surgery for each patient in the SASD between January 1, 2005, and December 31, 2009. In addition, patients were required to be residents of the state in which the procedure was performed to limit loss to follow-up. Identified cases in the SASD were then linked by encrypted patient identifier to hospitalizations in the SID and emergency department encounters in the SEDD to obtain information on 30-day hospital revisit rates contained within these databases. A 30-day hospital revisit was defined as a revisit to an ambulatory surgery center, emergency department, or inpatient hospital admission within 30 days of the index procedure.
Outcome Measures
The primary outcome measure was a hospital revisit within 30 days after an index septorhinoplasty procedure. The time between the index procedure and hospital revisit in each of the 3 databases was recorded. These data were then used to calculate the 30-day revisit rate. Primary diagnosis at the time of revisit was also recorded.
The secondary analysis examined the association between patient and procedure characteristics and a 30-day hospital revisit. Demographic data were defined at the time of the index procedure. Age was divided into 4 groups: 13 to 18 years, 19 to 40 years, 41 to 65 years, and older than 65 years. Race/ethnicity was categorized as white, black, Hispanic, Asian or Pacific Islander, or other. Primary expected payer was divided into 5 groups: Medicaid, Medicare, private insurance, self-pay, or other. Patient location was categorized as large metropolitan (≥1 million residents), small metropolitan (<1 million residents), micropolitan (between 10 000 and 50 000 residents), or neither metropolitan nor micropolitan. Income data were also collected, with patients divided by median household income quartile.
Specific comorbidities were examined to determine their possible effect on wound healing, bleeding, or other surgical complications (Table 1).Most comorbidities were defined using the measure by Elixhauser et al,15 which contains a group of 30 comorbidities using International Classification of Diseases, Ninth Revision (ICD-9) codes found to be significantly associated with in-hospital mortality. To summarize these comorbidities, van Walraven et al16 derived and validated an Elixhauser Comorbidity Index, which ranges from −19 to 89. Comorbidities were indexed and grouped by quartile to represent overall patient comorbidity status. Elixhauser comorbidities were also grouped by number of comorbidities: 0, 1, 2, and 3 or more. Patient diagnoses and additional procedures performed at the time of the index procedure were also assessed (Table 1).
Table 1.
ICD-9/CPT Code | Description |
---|---|
Inclusion criteria | |
30400 | Primary rhinoplasty, lateral and alar cartilages, and/or tip |
30410 | Primary rhinoplasty, bony pyramid, lateral and alar cartilage, and/or tip |
30420 | Primary rhinoplasty, bony pyramid, lateral and alar cartilages, and/or tip, including major septal repair |
30430 | Secondary rhinoplasty, minor revision (nasal tip) |
30435 | Secondary rhinoplasty, intermediate revision (bony work with osteotomies) |
30450 | Secondary rhinoplasty, major revision (nasal tip and osteotomies) |
30460 | Cleft lip rhinoplasty, including columellar lengthening, tip only |
30462 | Cleft lip rhinoplasty, including columellar lengthening, tip, septum, and osteotomies |
30465 | Repair of nasal vestibular stenosis (eg, spreader grafting, lateral nasal wall reconstruction) |
30520 | Septoplasty or submucous resection with or without cartilage scoring, contouring, or replacement with graft |
Patient comorbidities | |
305.1, V15.82 | Tobacco use |
446.4, 135, 733.99, 710.0, G8859, G8860 | Autoimmune disorder |
042, 279.(x), 203.(x), 204.(x),205.(x), 206.(x), 207.(x), 288.(x) | Immunodeficiency |
295.(x), 296.(x), 297.(x), 298.(x), 300.(x), 301.(x), 303.(x), 304.(x), 311.(x) | Psychiatric disorders |
Patient diagnoses | |
V50.1 | Plastic surgery for unacceptable cosmetic appearance |
470 | Deviated nasal septum (acquired) |
478 | Hypertrophy of nasal turbinate |
478.19 | Nasal airway obstruction or perforation |
738 | Acquired nasal deformity |
748.1 | Congenital nasal deformity |
754 | Congenital nasal or septal deformity |
905 | Late effect of craniofacial fracture |
733.81 | Malunion of nasal septal fracture |
959.09 | Nose or septum injury |
Other surgical procedures | |
30130, 30140, 30930, 30801, 30802 | Inferior turbinate reduction or outfracture |
30560 | Lysis of synechia |
20912 | Septal cartilage graft |
21210 | Bone graft to nose |
21230 | Rib cartilage graft to nose |
21235 | Ear cartilage graft to nose |
30310, 20670, 20680 | Removal of nasal foreign body, deep or superficial implant |
Principle diagnoses | |
784.7; 998.11 | Epistaxis or hemorrhage after procedure |
V58.31 | Removal of surgical dressing |
478.19; 473.8; 473.9 | Nasal infection or sinusitis |
784.0; 338.18 | Headache or pain |
780.2 | Syncope or collapse |
Abbreviations: CPT, Current Procedural Terminology; ICD-9, International Classification of Diseases, Ninth Revision.
Statistical Analysis
Data analysis was conducted from September 1, 2014, to May 1, 2015. Standard descriptive statistics were used to describe the study population, and the 30-day hospital revisit rates following septorhinoplasty within various subgroups were calculated. Univariable logistic regression, applied with a statistical command (PROC SURVEY LOGISTIC in SAS, version 9.3; SAS Institute Inc), was used to calculate odds ratios and CIs around the point estimate. Because of the large sample size, 99% CIs were used instead of 95% CIs. Clustering for the hospital identifier was performed to avoid institutional biases. All patient characteristics reaching statistical significance with an α = .01 in the univariable model were included in multivariable logistic regression. Diagnostic tests, including tests of multicollinearity, were used to ensure all assumptions of the final model were met. A Kaplan-Meier curve was used to estimate the median time to 30-day hospital revisit. The SAS, version 9.3, and SAS Enterprise Guide programs were used for all database management and statistical analyses.
Results
Patient Characteristics and Demographics
A total of 175 842 patients older than 13 years underwent a septorhinoplasty procedure in California, Florida, and New York between January 1, 2005, and December 31, 2009. The mean (SD) age of patients undergoing septorhinoplasty was 41 (15.3) years. Most patients were male (99 255 of 168 972 [58.7%]), defined their race/ethnicity as white (116 241 of 151 223 [76.9%]), had private insurance (131 993 of 175 753 [75.1%]), and were located in large metropolitan areas (125 678 of 175 826 [71.5%]).
30-Day Hospital Revisit Rate, Primary Diagnosis, and Timing
The overall 30-day hospital revisit rate for septorhinoplasty procedures was 6.5% (11 456 of 175 842 patients). The emergency department was most frequently revisited, with an overall rate of 3.6% (6353 of 175 842) or 55.5% of the revisit population (6353 of 11 456), followed by an ambulatory surgery center (3145 of 175 842 total [1.8%]; 3145 of 11 456 revisits [27.5%]) and inpatient hospitalization (1306 of 175 842 total [0.7%]; 1306 of 11 456 revisits [11.4%]); a minority of patients revisited multiple locations (652 of 175 842 total [0.4%]; 652 of 11 456 revisits [5.7%]). Of note, 158 of 175 842 patients (0.09%)underwent revision septorhinoplasty during this time.
Epistaxis or bleeding was the most common primary diagnosis at the time of the 30-day hospital revisit, with an overall rate of 1.2% (2150 of 175 842) or 18.8% of all revisits (2150 of 11 456). Removal of surgical dressing was the next most frequent diagnosis (525 of 175 842 total [0.3%]; 525 of 11 456 revisits [4.6%]), followed by nasal infection or sinusitis (489 of 175 842 total [0.3%]; 489 of 11 456 revisits [4.3%]), headache or pain (405 of 175 842 total [0.2%]; 405 of 11 456 revisits [3.5%]), and syncope or collapse (153 of 175 842 [0.09%]; 153 of 11 456 revisits [1.3%]).
To further subdivide this population, patients returning within 24 hours after their surgery were examined. A total of 1104 patients (0.6%) returned, predominantly to the emergency department (930 of 1104 [84.2%]),within 1 day of their surgery. The primary diagnoses were epistaxis or bleeding (240 of 1104 [21.7%]); nausea, vomiting, or dehydration (99 of 1104 [9.0%]); and headache or pain (91 of 1104 [8.2%]).
Of patients with a 30-day hospital revisit, the median time to revisit was 8 days after the index procedure, and 5728 patients (50.0%) revisited between 4 and 19 days.
Characteristics of Patients With 30-Day Hospital Revisit
The distribution of demographic and comorbidity characteristics for patients with a 30-day hospital revisit after septorhinoplasty is summarized in Table 2. There was no statistically significant difference in revisit rates when analyzing location by state. Patients who were aged 13 to 18 years were less likely to revisit the hospital (472 of 10 989 [4.3%]), whereas patients who were aged 41 to 65 years (5302 of 77 455 [6.8%]) or older than 65 years (1398 of 12 644 [11.1%]) were more likely to revisit the hospital compared with those aged 19 to 40 years (4284 of 74 754 [5.7%]). There was no statistically significant difference in revisit rates between males and females. A higher revisit rate was evident in black patients (390 of 4147 [9.4%]) and a lower revisit rate in Asian or Pacific Islander patients (238 of 4545 [5.2%]) compared with white patients (7838 of 116 241 [6.7%]). There was a higher revisit rate in patients with Medicare (1908 of 16 537 [11.5%]) and Medicaid (708 of 7128 [9.9%]) and a lower revisit rate for self-pay (416 of 12 323 [3.4%]) compared with private insurance (7896 of 131 993 [6.0%]). Patients in small metropolitan (3031 of 41 892 [7.2%]), micropolitan (488 of 5892 [8.3%]), and neither metropolitan nor micropolitan (198 of 2364 [8.4%]) areas had higher revisit rates compared with those in large metropolitan areas (7739 of 125 678 [6.2%]). Finally, we noted a trend that, with increasing income quartile, the 30-day hospital revisit rate decreased; however, these data were not fully analyzed owing to the large amount of missing data in this population (75 617 of 175 842 patients [43.0%]).
Table 2.
Characteristic | Patients, No. |
Patients With Hospital Revisit, No. (%) |
Unadjusted Odds Ratio (99% CI) |
---|---|---|---|
Total | 175 842 | 11 456 (6.5) | |
State | |||
California | 73 810 | 4958 (6.7) | 1 [Reference] |
Florida | 51 911 | 3924 (7.6) | 1.14 (0.80–1.61) |
New York | 50 121 | 2574 (5.1) | 0.75 (0.54–1.05) |
Age, y | |||
13–18 | 10 989 | 472 (4.3) | 0.74 (0.65–0.84) |
19–40 | 74 754 | 4284 (5.7) | 1 [Reference] |
41–65 | 77 455 | 5302 (6.8) | 1.21 (1.12–1.30) |
>65 | 12 644 | 1398 (11.1) | 2.05 (1.81–2.31) |
Sexa | |||
Male | 99 255 | 6600 (6.6) | 1 [Reference] |
Female | 69 717 | 4570 (6.6) | 0.99 (0.91–1.07) |
Raceb | |||
White | 116 241 | 7838 (6.7) | 1 [Reference] |
Black | 4147 | 390 (9.4) | 1.43 (1.21–1.69) |
Hispanic | 17 898 | 1369 (7.6) | 1.15 (0.98–1.34) |
Asian or Pacific Islander | 4545 | 238 (5.2) | 0.76 (0.61–0.95) |
Other | 8392 | 473 (5.6) | 0.83 (0.64–1.07) |
Insurancec | |||
Medicare | 16 537 | 1908 (11.5) | 2.05 (1.79–2.34) |
Medicaid | 7128 | 708 (9.9) | 1.73 (1.35–2.22) |
Private insurance | 131 993 | 7896 (6.0) | 1 [Reference] |
Self-pay | 12 323 | 416 (3.4) | 0.55 (0.42–0.72) |
Other | 7772 | 524 (6.7) | 1.14 (0.87–1.48) |
Patient locationd | |||
Large metropolitan | 125 678 | 7739 (6.2) | 1 [Reference] |
Small metropolitan | 41 892 | 3031 (7.2) | 1.90 (1.03–1.37) |
Micropolitan | 5892 | 488 (8.3) | 1.38 (1.08–1.75) |
Not metropolitan or micopolitan | 2364 | 198 (8.4) | 1.39 (1.05–1.84) |
Median household income, percentilee | |||
0 to 25th | 16 420 | 1289 (7.9) | f |
26th to 50th | 25 987 | 1759 (6.8) | f |
51st to 75th | 26 878 | 1747 (6.5) | f |
76th to 100th | 30 940 | 1581 (5.1) | f |
Elixhauser Comorbidity Indexg | |||
0 | 173 460 | 11 030 (6.4) | 1 [Reference] |
1 | 2379 | 425 (17.9) | 3.20 (2.68–3.82) |
2 | <10h | <10h | f |
3 | 0 | 0 | f |
No. of Elixhauser comorbiditiesg | |||
0 | 132 315 | 6891 (5.2) | 1 [Reference] |
1 | 26 823 | 2338 (8.7) | 1.74 (1.38–2.20) |
2 | 10 287 | 1174 (11.4) | 2.35 (1.96–2.80) |
≥3 | 6417 | 1053 (16.4) | 3.57 (3.16–4.03) |
Patient comorbidities | |||
Diabetes | 5681 | 686 (12.1) | 2.03 (1.77–2.33) |
Obesity | 5566 | 548 (9.8) | 1.60 (1.38–1.84) |
Alcohol use | 1148 | 189 (16.5) | 2.86 (2.28–3.58) |
Drug use | 993 | 172 (17.3) | 3.04 (2.35–3.93) |
Tobacco use | 13 138 | 1345 (10.2) | 1.72 (1.46–2.03) |
Anxiety | 4439 | 645 (14.5) | 2.53 (2.16–2.95) |
Depression | 3691 | 487 (13.2) | 2.23 (1.87–2.68) |
Autoimmune disorder or immunodeficiency | 1311 | 277 (21.1) | 3.92 (2.09–7.34) |
Coagulopathy | 367 | 77 (21.0) | 3.83 (2.69–5.44) |
Data missing for 6870 patients.
Data missing for 24 592 patients.
Data missing for 89 patients.
Categories are defined in the Outcome Measures subsection of the Methods section. Data missing for 16 patients.
Data missing for 75 617 patients.
No analysis was performed owing to the high percentage of missing data.
Described in Elixhauser et al.15
The Healthcare Cost and Utillization Project does not report exact numbers for categories with fewer than 10 patients.
Very few patients fell within the higher quartiles of the Elixhauser Comorbidity Index; therefore, patients were stratified by number of comorbidities as well. Patients with a greater number of comorbidities had a greater 30-day hospital revisit rate. Patients with no comorbidities had a revisit rate of 5.2% (6891 of 132 315), those with 1 comorbidity had a rate of 8.7% (2338 of 26 823), those with 2 comorbidities had a rate of 11.4% (1174 of 10 287), and those with 3 or more comorbidities had a 30-day revisit rate of 16.4% (1053 of 6417). Patients with specific comorbidities analyzed all had a greater rate of 30-day hospital revisit compared with those not having that comorbidity. Patients with a diagnosis of autoimmune disorders or immunodeficiency (277 of 1311 [21.1%]) and those with coagulopathy (77 of 367 [21.0%]) had the highest rates of 30-day hospital revisits. Patients with drug use (172 of993 [17.3%]) and those with alcohol use (189 of 1148 [16.5%]) had the next highest rates of hospital revisits.
The 30-day hospital revisit rate for different diagnoses and procedure characteristics were analyzed (Table 3). The patient diagnosis or procedure code associated with the highest rate of 30-day hospital revisit was a conchal cartilage graft, with a revisit rate of 13.1% (215 of 1636). Diagnosis codes associated with lower 30-dayhospital revisit rates were surgery for cosmetic appearance (151 of 5009 [3.0%]), acquired nasal deformity (936 of 17 991 [5.2%]), and congenital nasal deformity (109 of 2661 [4.1%]),while procedure codes associated with lower revisit rates were primary rhinoplasty–complete or bony (183 of 5307 [3.4%]), primary rhinoplasty–septal repair (593 of 11 290 [5.3%]), secondary rhinoplasty–minor (55 of 1609 [3.4%]), and secondary rhinoplasty–intermediate (26 of 830 [3.1%]).
Table 3.
Characteristic | Patients, No. | Patients With Hospital Revisit, No. (%) |
Unadjusted Odds Ratio (99% CI) |
---|---|---|---|
Total | 175 842 | 11 456 (6.5) | |
Patient diagnoses | |||
Deviated septum | 150 000 | 9879 (6.6) | 1.09 (0.87–1.35) |
Turbinate hypertrophy | 107 586 | 7195 (6.7) | 1.08 (0.86–1.35) |
Nasal airway obstruction | 36 838 | 2367 (6.4) | 0.98 (0.80–1.20) |
Cosmetic appearance | 5009 | 151 (3.0) | 0.44 (0.33–0.58) |
Deformity | |||
Acquired nasal | 17 991 | 936 (5.2) | 0.77 (0.64–0.92) |
Congenital nasal | 2661 | 109 (4.1) | 0.61 (0.43–0.87) |
Congenital septal | 655 | 42 (6.4) | 0.98 (0.66–1.46) |
Late effect of craniofacial fracture | 2652 | 170 (6.4) | 0.98 (0.64–1.52) |
Procedure performed | |||
Septoplasty | 151 727 | 10 167 (6.7) | 1.27 (1.00–1.62) |
Inferior turbinate reduction | 114 179 | 7627 (6.7) | 1.08 (0.87–1.34) |
Repair of vestibular stenosis | 4441 | 368 (8.3) | 1.31 (0.79–2.15) |
Primary rhinoplasty | |||
Cartilage or tip | 6023 | 357 (5.9) | 0.90 (0.73–1.11) |
Complete or bony | 5307 | 183 (3.4) | 0.51 (0.37–0.69) |
Septal repair | 11 290 | 593 (5.3) | 0.78 (0.63–0.97) |
Secondary rhinoplasty | |||
Minor | 1609 | 55 (3.4) | 0.51 (0.29–0.89) |
Intermediate | 830 | 26 (3.1) | 0.46 (0.27–0.79) |
Major | 1083 | 54 (5.0) | 0.75 (0.51–1.11) |
Cleft | |||
Rhinoplasty | 286 | <10a | b |
Septorhinoplasty | 349 | <10a | b |
Graft | |||
Septal | 4785 | 287 (6.0) | 0.91 (0.70–1.20) |
Conchal | 1636 | 215 (13.1) | 2.20 (1.31–3.69) |
Rib | 249 | 14 (5.6) | 0.86 (0.40–1.85) |
Bone | 253 | 22 (8.7) | 1.37 (0.79–2.38) |
The Healthcare Cost and Utillization Project does not report exact numbers for categories with fewer than 10 patients.
No analysis was performed owing to the high percentage of missing data.
Factors Associated With 30-Day Hospital Revisit
Multiple demographic, clinical, and procedural factors were associated with 30-day hospital revisits after univariable analysis; therefore, multivariable logistic regression was performed to identify factors with an independent association with the revisit rate (Table4).Relative to patients aged 19 to 40 years, those aged 13 to 18 years had a decreased revisit rate (adjusted odds ratio[aOR],0.73; 99% CI, 0.63–0.84),whereas there was an increased revisit rate in patients aged 41 to 65 years (aOR, 1.09; 99% CI, 1.02–1.16) or older than 65 years (aOR, 1.23; 99% CI, 1.06–1.43).Relative to white race, patients of black race (aOR, 1.39; 99% CI, 1.16–1.66) had a higher revisit rate. Patients with Medicare (aOR, 1.55; 99% CI, 1.32–1.81) and Medicaid (aOR, 1.63; 99% CI, 1.33–2.01) had higher 30-day revisit rates compared with patients with private insurance, whereas patients who were self-pay had lower revisit rates (aOR, 0.71; 99% CI, 0.55–0.92). Patient location did not remain statistically significant after multivariable analysis. All patient comorbidities except obesity remained statistically significant after multivariable analysis. Autoimmune disorders or immunodeficiency had the highest aOR (2.69; 99% CI, 1.20–6.03), followed by coagulopathy (aOR, 2.06; 99% CI, 1.33–3.20), anxiety (aOR, 1.79; 99% CI, 1.55–2.07), and alcohol use (aOR, 1.70; 99% CI, 1.35–2.14). Patients with a diagnosis of surgery for cosmetic appearance had a lower revisit rate (aOR, 0.70; 99% CI, 0.51–0.97), as did patients who underwent primary rhinoplasty–complete or bony (aOR, 0.70; 99% CI, 0.51–0.97) or secondary rhinoplasty–minor (aOR, 0.56; 99% CI, 0.33–0.95) and secondary rhinoplasty–intermediate (aOR, 0.51; 99% CI, 0.30–0.87). Patients who had a conchal cartilage graft had a higher 30-day hospital revisit rate (aOR, 2.01; 99% CI, 1.29–3.14).
Table 4.
Characteristic | Hospital Revisit, Adjusted Odds Ratio (99% CI) |
---|---|
Age, y | |
13–18 | 0.73 (0.63–0.84) |
19–40 | 1 [Reference] |
41–65 | 1.09 (1.02–1.16) |
>65 | 1.23 (1.06–1.43) |
Race | |
White | 1 [Reference] |
Black | 1.39 (1.16–1.66) |
Hispanic | 1.18 (1.00–1.39) |
Asian or Pacific Islander | 0.82 (0.65–1.03) |
Other | 0.91 (0.71–1.18) |
Insurance | |
Medicare | 1.55 (1.32–1.81) |
Medicaid | 1.63 (1.33–2.01) |
Private insurance | 1 [Reference] |
Self-pay | 0.71 (0.55–0.92) |
Other | 1.16 (0.94–1.43) |
Patient locationa | |
Large metropolitan | 1 [Reference] |
Small metropolitan | 1.09 (0.94–1.25) |
Micropolitan | 1.19 (0.91–1.56) |
Not metropolitan or micopolitan | 1.28 (0.96–1.71) |
Patient comorbidities | |
Diabetes | 1.32 (1.16–1.50) |
Obesity | 1.12 (0.98–1.27) |
Alcohol use | 1.70 (1.35–2.14) |
Drug use | 1.52 (1.17–1.98) |
Tobacco use | 1.23 (1.05–1.44) |
Anxiety | 1.79 (1.55–2.07) |
Depression | 1.42 (1.20–1.68) |
Autoimmune disorder or immunodeficiency | 2.69 (1.20–6.03) |
Coagulopathy | 2.06 (1.33–3.20) |
Patient diagnoses | |
Cosmetic appearance | 0.70 (0.51–0.97) |
Acquired nasal deformity | 0.89 (0.74–1.07) |
Congenital nasal deformity | 0.83 (0.58–1.20) |
Procedures performed | |
Septoplasty | 0.84 (0.61–1.16) |
Primary rhinoplasty | |
Complete or bony | 0.70 (0.51–0.97) |
Septal repair | 0.78 (0.60–1.02) |
Secondary rhinoplasty | |
Minor | 0.56 (0.33–0.95) |
Intermediate | 0.51 (0.30–0.87) |
Conchal cartilage graft | 2.01 (1.29–3.14) |
Categories are defined in the Outcome Measures subsection of the Methods section.
Discussion
The overall 30-day hospital revisit rate in this large population of patients undergoing septorhinoplasty was 6.5%, with most patients returning to the emergency department with a primary diagnosis of epistaxis or bleeding. An increased revisit rate was independently associated with age between 41 and 65 years and older than 65 years, black race, Medicare or Medicaid insurance, several comorbidities, and use of a conchal cartilage graft. Diagnosis of autoimmune disorders or immunodeficiency had the highest revisit rate aOR at 2.69.A decreased revisit rate was independently associated with patients aged 13 to 18 years, those who used self-pay, and those who underwent surgery for cosmetic appearance, primary rhinoplasty–complete or bony, and minor or intermediate secondary rhinoplasty. These data suggest that preoperative risk factors implying a sicker patient (older age and greater number of comorbidities) as well as socioeconomic factors (race, insurance status), are more predictive of 30-day hospital revisits rather than the complexity of the procedure performed or other procedure-related diagnoses, as seen when analyzing revision surgery rates.11 In addition, because most of the primary diagnoses at the time of revisit were related to the surgical procedure, it appears that postoperative complications are also significant factors in the 30-day revisit rate. This information will help physicians identify patient populations at higher risk for return visits to the emergency department, inpatient hospital setting, or ambulatory surgery center to enable appropriate preoperative risk assessment and medical optimization, as well as targeted counseling regarding follow-up for potential complications.
These findings are in accordance with many other studies investigating surgical readmission rates.2–10 In 2012, Kassin et al3 analyzed 1442 patients undergoing general surgical procedures and found a readmission rate of 11.3%. Any postoperative complication had the greatest association with 30-day readmission. After that study, Tsai et al2 used Medicare data to calculate 30-day readmission rates for surgical patients and found a 13.1% readmission rate. In that study, hospitals with high surgical volume and low surgical mortality had lower rates of readmission, suggesting that surgical readmission rates were better markers of quality care compared with medical readmissions for pneumonia, heart attack, and heart failure, which are often multifactorial and related to disease severity and social factors. In contrast, a study by Glance et al4 assessed whether there was a difference in surgical readmission rates between safety net hospitals (SNHs), defined as having the highest quartile of low-socioeconomic patients, and non-SNHs. Under the current Hospital Readmissions Reduction Program approach, 25 of 41 SNHs (61%) were financially penalized for surgical readmissions compared with 72 of 144 non-SNHs (50%); however, after adjusting for socioeconomic status, only 21 of 41 SNHs (51%) would be penalized. These studies suggest that surgical readmissions, like medical readmissions, are multifactorial and related to socioeconomic and patient risk factors as well as surgical complications.
A study analyzing 1058 otolaryngology patients found a 7.3% readmission rate (93 of 1271 patients); the presence of a postoperative complication was the highest predictor of readmission.6 Other contributing patient factors were a marital status of widowed or divorced, having Medicaid or no insurance, and the presence of underlying comorbidities of severe heart or lung disease. These data suggest that, although postoperative complications are likely to be the greatest predictor of a 30-day revisit, several preoperative factors can also help identify those at greater risk for returning to the hospital.
Most studies relating specifically to septoplasty or rhinoplasty readmission rates are found in the British literature; they discuss performing these operations as outpatient procedures and the risk for readmission within the first 24 hours of surgery.17–20 The Royal College of Surgeons of England stipulated that the readmission rate for outpatient procedures in the first 24 hours should be between 2% and 3%, and there was a goal to identify patient factors that increased unanticipated admissions.17 In a study of 256 septoplasties, an overall admission rate of 9% was found (23 of 256 patients), almost all owing to epistaxis (22 of 23 patients).17 Contributing factors were performance of additional procedures during septoplasty and American Society of Anesthesiologists classification greater than 1. In a 2005 study examining 787 cases of outpatient plastic surgery, which included rhinoplasty, the 24-hour admission rate was 3.6% (28 of 787 patients).19 Age older than 80 years, male sex, body mass index greater than 30 (calculated as weight in kilograms divided by height in meters squared), and surgery lasting longer than 45 minutes were predictive of admission, and 20 of these 28 admissions (71%) were owing to surgical causes, predominantly bleeding. Rhinoplasty specifically was found to have a readmission rate of approximately 8% (1 of 12 patients). In our study, there was a small revisit rate of 0.6% (1104 of 175 842 patients) in the first 24 hours after surgery; as shown in the previous studies, postoperative bleeding was the most common reason for postprocedure readmission or emergency department visit.
Although outcomes research has yet to definitively identify which patients are at highest risk for unplanned readmission for specific procedures, policies that carry penalties for any readmission within 30 days are already in effect.5 Our study aims to provide an initial basis of normative data in the facial plastic surgery and otolaryngology literature to third-party payers or government agencies. Although the current Hospital Readmissions Reduction Program approach places fines on hospitals for readmissions within 30 days of inpatient surgical procedures, this approach has not yet been extended to include ambulatory procedures. However, the Centers for Medicare and Medicaid Services is now developing a new measure using hospital-wide readmission data as opposed to condition-specific readmission rates. Rosen et al21 found that all-cause readmission rates do not correlate with condition-specific readmission rates. Use of hospital-wide readmission data penalized only 60% of the hospitals that would have been penalized from condition-specific penalties; however, it is not known which is a better predictor of quality of care. The Centers for Medicare and Medicaid Services quality care metrics including any hospital readmission will increase the importance of identifying patients at higher risk of a 30-day revisit and ensuring preoperative optimization of comorbidities or planned overnight stays in high-risk populations.
Limitations of this study include the use of an all-payer database, which relies on the accurate recording of ICD-9 and Current Procedural Terminology codes by health care professionals and medical record technicians. Incomplete recording can lead to gaps in reporting of specific information, such as sex, race, insurance, patient income, and patient location, as seen in Table 2. Furthermore, this effect has been shown in a patient population readmitted within 90 days after a procedure in which comorbidities were consistently underreported in the administrative database compared with those that had been reported in the hospital medical records.22 Except for patient income, which was excluded from our analysis owing to the high percentage of missing data (43.0%), the other categories had a much lower rate of missing data, ranging from 0.009% (16 patients) to 14.0%. In addition, inpatients were not analyzed separately from outpatients owing to the small number of inpatients (5568 patients [3.2%]), and an even smaller number of patients returned within the first 24 hours after surgery (1104 [0.6%]). Therefore, it is beyond the scope of this article to infer whether patients with risk factors associated with hospital revisits would be less likely to return if they had been inpatients. Finally, details of the revisit beyond the primary diagnosis code cannot be elucidated beyond the ICD-9 code at the time of revisit, eliminating further analysis of more specific factors contributing to hospital revisits.
Conclusions
This study suggests that the overall 30-day hospital revisit rate for patients undergoing septorhinoplasty is 6.5% and varies predominantly by patient factors such as age, race, insurance status, and number and type of comorbidities. In addition, the most common reason for revisit was surgical, including postoperative bleeding or epistaxis, removal of a surgical dressing, and nasal infection or sinusitis. This information will allow physicians to identify patient populations at higher risk for return visits to the emergency department, inpatient hospital setting, or ambulatory surgery center to enable appropriate preoperative risk assessment and counseling regarding follow-up and potential complications. Finally, this study will also help provide normative data to third-party payers or government agencies where hospitals are penalized for 30-day hospital readmissions.
Key Points.
Question
What is the rate of hospital revisits in the 30-day period after septorhinoplasty and what risk factors are associated with revisits?
Findings
Approximately 6.5% of patients who underwent septorhinoplasty procedures revisited the hospital within 30 days of the procedure; the most common primary diagnosis was bleeding or epistaxis. Patients aged 41 to 65 years or older than 65 years had an increased revisit rate, as did black patients; those with Medicare and Medicaid; those with diagnoses of autoimmune disorders or immunodeficiency, coagulopathy, or anxiety; and those with a conchal cartilage graft.
Meaning
Patients with more medical comorbidities and lower socioeconomic status returned for surgical complications, such as bleeding or epistaxis, in the 30-day period after septorhinoplasty. These data provide valuable preoperative counseling information for patients and physicians.
Acknowledgments
Funding/Support: This study was supported by the Leslie Burnstein CORE Grant from the American Academy of Otolaryngology-Head & Neck Surgery and American Academy of Facial Plastic and Reconstructive Surgery. The Center for Administrative Data Research, which aided in compiling the patients included in this data set, is supported in part by the Washington University Institute of Clinical and Translational Sciences, which received grant number UL1 TR000448 from the National Center for Advancing Translational Sciences of the National Institutes of Health, grant number R24 HS19455 from the Agency for Healthcare Research and Quality, and grant number KM1CA156708 from the National Cancer Institute at the National Institutes of Health.
Role of the Funder/Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Footnotes
Author Contributions: Drs Spataro and Kallogjeri had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Spataro, Branham, Piccirillo, Desai.
Acquisition, analysis, or interpretation of data: All authors.
Drafting of the manuscript: Spataro, Desai.
Critical revision of the manuscript for important
intellectual content: All authors.
Statistical analysis: Spataro, Kallogjeri, Piccirillo.
Obtained funding: Desai.
Adminstrative, technical, or material support: Branham, Desai.
Study supervision: Branham, Piccirillo, Desai.
Conflict of Interest Disclosures: None reported.
References
- 1.The Patient Protection and Affordable Care Act, 42 USC §18001. 2010 [Google Scholar]
- 2.Tsai TC, Joynt KE, Orav EJ, Gawande AA, Jha AK. Variation in surgical-readmission rates and quality of hospital care. N Engl J Med. 2013;369(12):1134–1142. doi: 10.1056/NEJMsa1303118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Kassin MT, Owen RM, Perez SD, et al. Risk factors for 30-day hospital readmission among general surgery patients. J Am Coll Surg. 2012;215(3):322–330. doi: 10.1016/j.jamcollsurg.2012.05.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Glance LG, Kellerman AL, Osler TM, Li Y, Li W, Dick AW. Impact of risk adjustment for socioeconomic status on risk-adjusted surgical readmission rates. Ann Surg. 2016;263(4):698–704. doi: 10.1097/SLA.0000000000001363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.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(11):1012–1019. doi: 10.2106/JBJS.K.01569. [DOI] [PubMed] [Google Scholar]
- 6.Graboyes EM, Liou TN, Kallogjeri D, Nussenbaum B, Diaz JA. Risk factors for unplanned hospital readmission in otolaryngology patients. Otolaryngol Head Neck Surg. 2013;149(4):562–571. doi: 10.1177/0194599813500023. [DOI] [PubMed] [Google Scholar]
- 7.Bhattacharyya N. Unplanned revisits and readmissions after ambulatory sinonasal surgery. Laryngoscope. 2014;124(9):1983–1987. doi: 10.1002/lary.24584. [DOI] [PubMed] [Google Scholar]
- 8.Graboyes EM, Yang Z, Kallogjeri D, Diaz JA, Nussenbaum B. Patients undergoing total laryngectomy: an at-risk population for 30-day unplanned readmission. JAMA Otolaryngol Head Neck Surg. 2014;140(12):1157–1165. doi: 10.1001/jamaoto.2014.1705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Orosco RK, Lin HW, Bhattacharyya N. Safety of adult ambulatory direct laryngoscopy: revisits and complications. JAMA Otolaryngol Head Neck Surg. 2015;141(8):685–689. doi: 10.1001/jamaoto.2015.1172. [DOI] [PubMed] [Google Scholar]
- 10.Hendricks BL, Shikary TA, Zimmer LA. Causes for 30-day readmission following transsphenoidal surgery. Otolaryngol Head Neck Surg. 2016;154(2):359–365. doi: 10.1177/0194599815617130. [DOI] [PubMed] [Google Scholar]
- 11.Spataro E, Piccirillo JF, Kallogjeri D, Branham GH, Desai SC. Revision rates and risk factors of 175842 patients undergoing septorhinoplasty [published online March 10, 2016] JAMA Facial Plast Surg. doi: 10.1001/jamafacial.2015.2194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Healthcare Cost and Utilization Project. Overview of the state inpatient databases (SID) [Accessed May 16, 2016]; http://www.hcup-us.ahrq.gov/sidoverview.jsp. Updated January 20, 2016.
- 13.Healthcare Cost and Utilization Project. Overview of the state ambulatory surgery and services databases (SASD) [Accessed May 16, 2016]; http://www.hcup-us.ahrq.gov/sasdoverview.jsp. Updated November 18, 2015.
- 14.Healthcare Cost and Utilization Project. Overview of the state emergency department databases (SEDD) [Accessed May 16, 2016]; https://www.hcup-us.ahrq.gov/seddoverview.jsp. Modified January 20, 2016.
- 15.Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27. doi: 10.1097/00005650-199801000-00004. [DOI] [PubMed] [Google Scholar]
- 16.van Walraven C, Austin PC, Jennings A, Quan H, Forster AJ. A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data. Med Care. 2009;47(6):626–633. doi: 10.1097/MLR.0b013e31819432e5. [DOI] [PubMed] [Google Scholar]
- 17.Al-Hussaini A, Walijee H, Khan A, Cuddihy P. Day-case septoplasty: a default pathway or is case selection the key? Eur Arch Otorhinolaryngol. 2015;272(1):91–95. doi: 10.1007/s00405-014-3071-x. [DOI] [PubMed] [Google Scholar]
- 18.Tewfik MA, Frenkiel S, Gasparrini R, et al. Factors affecting unanticipated hospital admission following otolaryngologic day surgery. J Otolaryngol. 2006;35(4):235–241. doi: 10.2310/7070.2006.0018. [DOI] [PubMed] [Google Scholar]
- 19.Mandal A, Imran D, McKinnell T, Rao GS. Unplanned admissions following ambulatory plastic surgery—a retrospective study. Ann R Coll Surg Engl. 2005;87(6):466–468. doi: 10.1308/003588405X60560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Georgalas C, Paun S, Zainal A, Patel NN, Mochloulis G. Assessing day-case septorhinoplasty: prospective audit study using patient-based indices. J Laryngol Otol. 2002;116(9):707–710. doi: 10.1258/002221502760238000. [DOI] [PubMed] [Google Scholar]
- 21.Rosen AK, Chen Q, Shwartz M, et al. Does use of a hospital-wide readmission measure versus condition-specific readmission measures make a difference for hospital profiling and payment penalties? Med Care. 2016;54(2):155–161. doi: 10.1097/MLR.0000000000000455. [DOI] [PubMed] [Google Scholar]
- 22.Chong WF, Ding YY, Heng BH. A comparison of comorbidities obtained from hospital administrative data and medical charts in older patients with pneumonia. BMC Health Serv Res. 2011;11:105. doi: 10.1186/1472-6963-11-105. [DOI] [PMC free article] [PubMed] [Google Scholar]