Literature DB >> 32124433

Comparing textbook outcomes among patients undergoing surgery for cancer at U. S. News & World Report ranked hospitals.

Rittal Mehta1, Diamantis I Tsilimigras1, Anghela Z Paredes1, Kota Sahara1, Amika Moro1, Ayesha Farooq1, Susan White1, Aslam Ejaz1, Allan Tsung1, Mary Dillhoff1, Jordan M Cloyd1, Timothy M Pawlik1.   

Abstract

BACKGROUND: The objective of the current study was to define and compare rates of textbook outcomes (TO) among patients undergoing colorectal, lung, esophagus, liver, and pancreatic surgery for cancer at U.S. News & World Report (USNWR) ranked hospitals.
METHODS: Medicare Inpatient Standard Analytic Files 2013-2015 were utilized to examine the relationship of TO and USNWR hospital ratings following surgery for colorectal, lung, esophageal, pancreatic, and liver cancer. TO was defined as no postoperative surgical complications, no prolonged length of hospital stay, no readmission within 90 days after discharge, and no postoperative mortality within 90 days after surgery.
RESULTS: Among the 35,352 Medicare patients included in the cohort, 16,820 (47.6%) underwent surgery at honor roll hospitals, whereas 18 532 (52.4%) underwent surgery at non-honor roll hospitals. The overall proportion of patients who achieved TO was 50.1%. In examining the clinical outcomes of patients who underwent surgery, there was no difference in the odds of achieving TO at honor roll vs non-honor roll hospitals (colorectal: odds ratio [OR], 0.87; 95% confidence interval [CI], 0.69-1.10; lung: OR, 1.07; 95% CI, 0.87-1.32; esophagus: OR, 1.44; 95% CI, 0.72-2.89; liver: OR, 1.27; 95% CI, 0.87-1.84; pancreas: OR, 1.04; 95% CI, 0.67-1.62). CONCLUSION AND RELEVANCE: Patients undergoing surgery for lung, esophageal, liver, pancreatic, and colorectal cancer had comparable rates of TO at honor roll vs non-honor roll hospitals. No linear association was observed between hospital position in the rank and postoperative outcomes such as TO indicating that patients should not overly focus on the exact position within USNWR ranked hospitals. These data highlight to patients and physicians that up to one-half of patients undergoing surgery for cancer should anticipate at least one adverse outcome.
© 2020 The Authors. Journal of Surgical Oncology published by Wiley Periodicals, Inc.

Entities:  

Keywords:  USNWR; cancer; honor roll; surgery; textbook outcomes

Mesh:

Year:  2020        PMID: 32124433      PMCID: PMC9292307          DOI: 10.1002/jso.25833

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   2.885


INTRODUCTION

Defining, assessing, and delivering high‐quality care in the management of patients undergoing surgery for cancer remains a challenge. The Institute of Medicine defines quality as the degree to which health services for individuals and populations increase the likelihood of desired health outcomes that are consistent with current professional knowledge. The Center for Medicare and Medicaid Services (CMS) has made efforts to improve the quality of the healthcare delivery system through passage of policies such as Accountable Care Organization, which rewards hospitals that provide high‐quality care at low costs. In an attempt to identify the “best” hospitals, various organizations have derived different rating and ranking systems to evaluate hospital performance. Such data on hospital performance may be helpful to policymakers and referring physicians, as well as provide important information for patients to understand which hospital may best suit their medical needs. One of the most commonly used ranking systems is the U.S. News & World Report (USNWR) Best Hospital rankings. Previous studies have investigated the relationship of USNWR top‐ranked hospitals and short‐term outcomes such as 30‐day mortality and readmissions among patients undergoing surgery for various cardiovascular diseases. Traditionally, ranking systems have used individual outcomes such as mortality, morbidity, and readmissions to assess the quality of a particular hospital for surgical procedures. , , , Using single “siloed” metrics may be problematic; however, as a particular hospital might perform better on one parameter and not as well on a different parameter. Moreover, individual measures do not capture the multidimensional aspect of the whole surgical process from the patient's perspective, as individuals experience an episode of care as an “all or none” phenomenon. In addition, parameters with a low event rate, such as mortality, maybe due to chance and focus on such metrics may not provide reproducible and accurate information into actual variation around quality measures among different hospitals. In turn, several investigators have proposed composite outcomes measures as being more reliable to assess healthcare quality rather than focusing on individual outcome parameters. , , Textbook outcome (TO) is one such composite measure that has gained increased adoption as a means to provide more comprehensive information about hospital performance. TO involves the concept that the desired outcome is only accomplished when all individual composite outcomes (eg, no complication, no prolonged length of stay, no mortality, etc) are achieved together. This concept was originally described by a group of colorectal surgeons from the Netherlands in an effort to characterize variations in hospital performance after colon cancer resection. In this manner, TO may provide better information on the overall quality of patient care around the time of surgery, as well as facilitate the detection of more meaningful differences among hospitals that are less likely to be due to random sampling errors. While few studies have evaluated use of TO as a measure of quality of care in patients undergoing surgery for lung, colorectal, gastric, bariatric, liver, and pancreas malignancies, , , no study have specifically investigated whether USNWR hospital ranking may translate into a higher chance of achieving a TO outcome among patients undergoing surgery for cancer. Similarly, the association between TO and USNWR ranking position remains largely unknown. To this end, the aim of the current study was to define and compare rates of TO among patients undergoing colorectal, lung, esophagus, liver, and pancreatic surgery for cancer at honor roll and nonhonor roll hospitals. In addition, we also sought to assess the correlation between hospital volume and TO at honor roll and nonhonor roll hospitals.

METHODS

Data sources and study population

The analytic cohort was derived from 100% Medicare Inpatient and Outpatient Standard Analytic Files (SAF) from 2013 to 2015. The SAF includes patient‐level information on demographic characteristics, diagnoses, and procedures. The International Classification of Diseases, Ninth Revision (ICD‐9) diagnosis and procedure codes were used to identify patients who underwent colorectal, lung, esophageal, pancreatic, and hepatic resection for cancer surgery (Tables S1 and S2). Patients younger than 65 years of age, people having a benign diagnosis or emergent/urgent admission type were excluded from the study. The top 20 honor roll hospitals based on the quality of care provided to cancer patients were recognized from the USNWR website (https://health.usnews.com/best‐hospitals/rankings/cancer) whereas the remaining hospitals that were ranked but not included in the honor roll list were described as “nonhonor roll” hospitals. Of note, the analytic cohort in the current study included patients with cancer; therefore, USNWR cancer‐specific rankings were utilized. The USNWR reports ranking for 50 hospitals for cancer specialty; after the top 50 hospital rankings, other hospitals do not receive a specific rank by USNWR. The study was approved by the Institutional Review Board at The Ohio State University Wexner Medical Center.

Textbook outcome

TO was defined as no postoperative surgical complications, no prolonged length of hospital stay (LOS), no readmission 90 days after discharge, and no postoperative mortality 90 days after surgery. TO definition was based on a selection of relevant outcome parameters representing an optimal patient outcome after surgery. ICD‐9‐CM diagnosis and procedure codes were utilized to identify patients having postoperative surgical complications. , , Table S3 depicts the codes utilized for postsurgical complications. Readmissions were defined as admission to any hospital within 90 days after discharge. Mortality was defined as death within 90 days of the index operation; prolonged LOS was defined as LOS during the index hospitalization >75th percentile for each procedure. , , , TO was achieved when none of the four adverse outcomes occurred.

Statistical analyses

Patient demographics and postoperative outcome characteristics were compared among patients who underwent surgery at honor roll vs nonhonor roll hospitals. Continuous variables were described as medians and interquartile ranges (IQRs) and categorical variables were described as total count and frequencies (%). Bivariate analyses were executed using Pearson χ 2 or Wilcoxon rank test as appropriate to measure differences in TO at honor roll vs nonhonor roll stratified by procedure type. For each procedure, multivariable logistic regression analyses were conducted to compare TO among honor roll and nonhonor roll hospitals. Multivariable models were controlled for patient characteristics including sex, age, race, Charlson comorbidity score, and surgical approach (ie, open or minimally invasive) as fixed effects, and hospital variation as random effects. To better understand the relationship between rankings of hospital and rates of TO, multivariable simple linear regression was performed. Funnel plots were used to assess the volume‐outcome relationship for honor roll and nonhonor roll hospitals. Hospital volume was calculated based on the number of procedure‐specific surgeries performed at each hospital included in the study cohort. The model fit was evaluated by assessing C‐statistic for each model. A P < .05 was considered statistically significant. All analyses were performed with SAS 9.4.

RESULTS

Overall characteristics

Among 35 352 patients who met inclusion criteria, roughly half of patients were male (N = 18 748; 53.0%) with a median age of 73 years (IQR, 69‐78); the vast majority of patients were White (N = 32 184; 91.0%) (Table 1). Overall, 10 984 (31.1%) patients underwent a colorectal resection, 12 608 (35.7%) lung resection, 1792 (5.1%) esophagectomy, 7140 (20.0%) hepatectomy, and 2828 (8.0%) pancreatectomy.
Table 1

Patient characteristics at honor roll and nonhonor roll hospitals

VariableTotalNonhonor roll hospitalsHonor roll hospitals P value
Sex.80
Male18 748 (53%)9840 (53.1%)8908 (53.0%)
Female16 604 (47%)8692 (46.9%)7912 (47.0%)
Age73 (69‐78)73 (69‐78)73 (69‐78).41
Race<.001
White32 184 (91%)16 592(89.5%)15 592 (92.7%)
Black1872 (5.3%)1240 (6.7%)632 (3.8%)
Other1296 (3.7%)700 (3.8%)596 (3.5%)
Charlson score<.001
29952 (28.2%)5452 (29.4%)4500 (26.8%)
37504 (21.2%)4040 (21.8%)3464 (20.6%)
43812 (10.8%)2048 (11.1%)1764 (10.5%)
5 or more14 084 (39.8%)6992 (37.7%)7092 (42.2%)
Prior admission<.001
024 604 (69.6%)12 708 (68.6%)11 896 (70.7%)
17800 (22.1%)4244 (22.9%)3556 (21.1%)
22072 (5.9%)1104 (6%)968 (5.8%)
3 or more876 (2.5%)476 (2.6%)400 (2.4%)
Procedure<.001
Colorectal10 984 (31.1%)5596 (30.2%)5388 (32%)
Lung12 608 (35.7%)6700 (36.2%)5908 (35.1%)
Esophagus1792 (5.1%)864 (4.7%)928 (5.5%)
Liver7140(20.2%)3808 (20.5%)3332 (19.8%)
Pancreas2828 (8%)1564 (8.4%)1264 (7.5%)
Surgical approach<.001
Open20 820 (58.9%)9688 (52.3%)11 132 (66.2%)
MIS14 532 (41.1%)8844 (47.7%)5688 (33.8%)

Abbreviation: MIS, minimally invasive surgery.

Patient characteristics at honor roll and nonhonor roll hospitals Abbreviation: MIS, minimally invasive surgery. Overall, 16 820 (47.6%) patients underwent surgery at an honor roll hospital whereas 18 532 (52.4%) patients underwent surgery at a nonhonor roll hospital. Overall, patient age and sex were comparable among patients receiving care at honor roll vs nonhonor roll hospitals (all Ps > .05). In contrast, patients treated at honor roll hospitals had higher Charlson comorbidity scores (CS) (CS > 5: honor roll n = 7092 [42.2%] vs nonhonor roll n = 6992 [37.7%]; P < .001) and were more likely to undergo surgery using an open approach vs nonhonor roll hospitals (n = 11 132 [66.2%] vs n = 9688 [52.3%]; P < .001) (Table 1).

TO rates

The overall proportion of patients who achieved TO was 50.1%. The rates of the components included in the definition of TO and their cumulative percentages are presented in Figure 1. The rates of TO varied widely based on procedure type (Table 2). Patients undergoing surgery for esophageal cancer had lowest rates of TO followed by pancreatic, hepatic, colorectal, and lung cancer (esophagectomy: n = 388 [21.7%]; pancreatectomy: n = 608 [37.8%]; hepatectomy: n = 2748 [38.5%]; colorectal: n = 5440 [49.5%]; lung: n = 8348 [66.2%]). Patients undergoing surgery for the lung, esophagus, liver, and pancreas had comparable rates of TO at honor roll and nonhonor roll hospitals (Table 2). In contrast, patients undergoing colorectal cancer surgery at honor roll hospitals had a slightly lower rate of TO compared with nonhonor roll hospitals (honor roll n = 2520 [46.8%] vs nonhonor roll n = 2920 [52.2%]; P < .001).
Figure 1

Textbook outcome distribution by its definition among honor roll and nonhonor roll hospitals

Table 2

Unadjusted rates postoperative outcomes at honor roll and nonhonor roll hospitals

OutcomesTotalNonhonor roll hospitalsHonor roll hospitals P value
Colorectal
No complications8204 (74.7%)4308 (77.0%)3896 (72.3%)<.001
No readmissions8092 (73.7%)4204 (75.1%)3888 (72.2%)<.001
No prolonged LOS8496 (77.3%)4388 (78.4%)4108 (76.2%).007
No mortality10 580 (96.3%)5380 (96.1%)5200 (96.5%).300
Textbook outcomes5440 (49.5%)2920 (52.2%)2520 (46.8%)<.001
Lung
No complications11 356 (90.1%)6032 (90%)5324 (90.1%).870
No readmissions9980 (79.2%)5320 (79.4%)4660 (78.9%).470
No prolonged LOS10 892 (86.4%)5832 (87%)5060 (85.6%).022
No mortality12 092 (95.9%)6400 (95.5%)5692 (96.3%).020
Textbook outcomes8348 (66.2%)4488 (67.0%)3860 (65.3%).051
Esophagus
No complications1216 (67.9%)576 (66.7%)640 (69.0%).300
No readmissions1136 (63.4%)528 (61.1%)608 (65.5%).050
No prolonged LOS628 (35.0%)336 (38.9%)292 (31.5%)<.001
No mortality1612 (90.0%)768 (88.9%)844 (90.9%).150
Textbook outcomes388 (21.7%)192 (22.2%)196 (21.1%).570
Liver
No complications5572 (78.0%)2860 (75.1%)2712 (81.4%)<.001
No readmissions4716 (66.1%)2512 (66.0%)2204 (66.1%).871
No prolonged LOS4244 (59.4%)2284 (60.0%)1960 (58.8%).320
No mortality6672 (93.4%)3516 (92.3%)3156 (94.7%)<.001
Textbook outcomes2748 (38.5%)1428 (37.5%)1320 (39.6%).070
Pancreas
No complications1508 (53.3%)880 (56.3%)628 (49.7%)<.001
No readmissions2024 (71.6%)1088 (69.6%)936 (74.1%).009
No prolonged LOS2188 (77.4%)1224 (78.3%)964 (76.3%).210
No mortality2608 (92.2%)1432 (91.6%)1176 (93%).140
Textbook outcomes1068 (37.8%)608 (38.9%)460 (36.4%).180

Abbreviation: LOS, length of hospital stay.

Textbook outcome distribution by its definition among honor roll and nonhonor roll hospitals Unadjusted rates postoperative outcomes at honor roll and nonhonor roll hospitals Abbreviation: LOS, length of hospital stay.

The impact of hospital quality on clinical outcomes

On multivariable analyses, the association of honor roll hospitals and clinical outcomes varied based on procedure type. For instance, patients undergoing esophageal surgery for malignancy had 36% higher odds of not being readmitted to the honor hospital compared with nonhonor roll hospitals (odds ratio [OR], 1.36; 95% confidence interval [CI], 1.11‐1.66). In contrast, patients undergoing hepatic surgery at honor roll hospitals had 30% lower odds of not having a complication compared with nonhonor roll hospitals (OR, 0.70; 95% CI, 0.51‐0.96). In examining clinical outcomes of patients who underwent colorectal, lung, esophageal, pancreatic, and hepatic surgery, there was no difference in the odds of achieving TO at honor roll vs nonhonor roll hospitals (colorectal: OR, 0.87; 95% CI, 0.69‐1.10; lung: OR, 1.07; 95% CI, 0.87‐1.32; esophagus: OR, 1.44; 95% CI, 0.72‐2.89; liver: OR, 1.27; 95% CI, 0.87‐1.84; pancreas: OR, 1.04; 95% CI, 0.67‐1.62) (Table 3).
Table 3

Multivariable logistic regression comparing outcomes of patients undergoing surgery at honor roll and nonhonor roll hospitals

OutcomesHonor roll hospitals P value
Colorectal
No complications1.04 (0.67‐1.62).480
No readmissions1.04 (0.84‐1.29).729
No prolonged LOS1.09 (0.76‐1.55).654
No mortality0.84 (0.51‐1.39).497
Textbook outcomes0.87 (0.69‐1.10).243
Lung
No complications0.81 (0.57‐1.14).214
No readmissions0.95 (0.77‐1.17).626
No prolonged LOS1.03 (0.63‐1.68).913
No mortality0.73 (0.44‐1.22).230
Textbook outcomes1.07 (0.87‐1.32).514
Esophagus
No complications0.79 (0.52‐1.20).261
No readmissions 1.36 (1.11‐1.66) .033
No prolonged LOS0.81 (0.32‐2.04).649
No mortality1.32 (0.52‐3.35).560
Textbook outcomes1.44 (0.72‐2.89).307
Liver
No complications 0.70 (0.51‐0.96) .025
No readmissions0.88 (0.68‐1.15).137
No prolonged LOS0.82 (0.51‐1.32).280
No mortality0.77 (0.51‐1.17).156
Textbook outcomes1.27 (0.87‐1.84).607
Pancreas
No complications1.31 (0.84‐2.03).235
No readmissions0.74 (0.49‐1.11).105
No prolonged LOS0.92 (0.51‐1.67).515
No mortality0.78 (0.36‐1.69).525
Textbook outcomes1.04 (0.67‐1.62).480

Abbreviation: LOS, length of hospital stay.

Note: Bold values are statistically significant.

Multivariable logistic regression comparing outcomes of patients undergoing surgery at honor roll and nonhonor roll hospitals Abbreviation: LOS, length of hospital stay. Note: Bold values are statistically significant. In examining the relationship between the rankings of hospitals and TO, there was no association between rankings of the top 50 hospitals and the risk‐adjusted rates of TO among different hospitals for patients undergoing surgery for colorectal, lung, esophagus, liver, and pancreatic cancer (colorectal β = 0.190, lung β = 0.057, esophagus β = 0.045, liver β = 0.047, pancreas β = 0.152; all Ps > .05). For example, patients undergoing surgery for pancreatic resection, the percentage of TO for patients undergoing each hospital increases by only 0.152 for each unit increase in hospital rank (P = .263). Interestingly, no linear association between hospital position in the rank and TO was observed when evaluating TO among USNWR ranked hospitals (Figure 2).
Figure 2

Rates of textbook outcomes (TOs) among patients undergoing surgery for cancer at the U.S. News & World Report 50 ranked hospitals stratified by procedure type. Note: P value depicts no linear relationship between the rank of hospital and rate of TO [Color figure can be viewed at wileyonlinelibrary.com]

Rates of textbook outcomes (TOs) among patients undergoing surgery for cancer at the U.S. News & World Report 50 ranked hospitals stratified by procedure type. Note: P value depicts no linear relationship between the rank of hospital and rate of TO [Color figure can be viewed at wileyonlinelibrary.com] Figure 3 depicts rates of TO for individual hospitals among patients undergoing surgery for colorectal, lung, esophagus, liver, and pancreatic surgery at honor roll and nonhonor roll hospitals, respectively. TO rates ranged from 0.39 to 0.58 for honor roll vs 0.36 to 0.68 for nonhonor roll hospitals. Of note, there was no correlation between hospital volume and TO for patients undergoing surgery at honor and nonhonor roll hospitals (Figure 3A,B).
Figure 3

A, Textbook outcome variations across hospital volumes among patients undergoing surgical procedures at honor roll hospitals. B, Textbook outcome variations across hospital volumes among patients undergoing surgical procedures at nonhonor roll hospitals [Color figure can be viewed at wileyonlinelibrary.com]

A, Textbook outcome variations across hospital volumes among patients undergoing surgical procedures at honor roll hospitals. B, Textbook outcome variations across hospital volumes among patients undergoing surgical procedures at nonhonor roll hospitals [Color figure can be viewed at wileyonlinelibrary.com]

DISCUSSION

Quality of surgical care delivered by hospitals has been under increased scrutiny over the past several decades. Monitoring quality of care among various hospitals can be challenging and relative differences in outcomes can be difficult to discern. To address this need, multiple organizations such as The Leapfrog Group, CMS, and USNWR have proposed different rating and ranking schemes to encourage transparency. , , In turn, these data have been increasingly used by patients and policyholders to differentiate high vs low performing hospitals. In fact, rankings such as the USNWR have been demonstrated to influence patient decision‐making and choice of hospital. These hospital ranking systems have; however, largely focused on assessing performance relative to individual metrics such as mortality, morbidity, and readmission. , , , More recently, composite measures have been proposed as a better means to assess variation among hospital performance rather than individual parameters. , To this point, our group and others have proposed TO as an “all or none” measure that more accurately represent a patient‐centered care perspective. , , , , The current study was important because we examined USNWR rankings relative to success in achieving TO among patients undergoing colorectal, lung, esophagus, liver, and pancreatic surgery for cancer at honor roll and nonhonor roll hospitals. Of note, the likelihood among patients undergoing surgery for colorectal, lung, liver, pancreas, and esophagus at honor roll hospitals and nonhonor roll patients was comparable. In particular, the exact USWNR rank position among hospitals within the top 50 USNWR rankings also had no linear relationship with the rates of TO following surgical intervention. Interestingly, rates of TO varied widely across different procedure types with a patient undergoing esophageal surgery having the lowest rates of TO while individuals who underwent lung cancer surgery having the highest rates of TO. Public reporting of hospital quality measures is one of the main tools utilized by patients and providers to facilitate informed decision‐making when selecting hospitals for a surgical procedure. Despite the face validity and importance that patients, policymakers and other stakeholders of healthcare place on USNWR rankings, previous data have suggested that USNWR rankings among top‐ranked hospitals may not correlate with clinical outcomes. For instance, Williams et al noted that USNWR top‐ranked hospitals regularly failed to apply evidence‐based care for patients undergoing cardiac surgery. In fact, many non–top ranked hospitals performed better than USNWR top‐ranked hospitals in providing cardiovascular care consistent with NCCN guidelines. The current study expanded on this previous work by specifically focusing on surgical care among cancer patients. In particular, we noted that risk‐adjusted rates of TO were comparable among honor roll and nonhonor roll hospitals among patients undergoing surgery for a wide range of different cancer diagnoses. In fact, there was no linear trend observed in assessing the relationship among USNWR ranked hospitals and TO in assessing the overall cohort, as well as according to each specific separate surgical procedure (Figure 2). The reason why TO did not differ among honor roll and nonhonor roll hospitals is undoubtedly multifactorial, yet it may be attributed to the fact that USNWR ranking methodology disproportionately takes into consideration subjective measures not necessarily related to quality such as reputation. To this point, Cua et al noted that the Best Hospital rankings for cancer, cardiology, gastroenterology, neurology, and orthopedics were more influenced by reputation on the total USWNR score than other objective metrics. Collectively, these data suggest that the exact ranking position within the USNWR had a minor impact on the likelihood of a patient achieving a TO. Previous reports have noted that the USNWR ranking performed better when assessing certain clinical outcome measures, while failing to perform well on other measures. , For instance, Wang et al reported that USNWR top‐ranked hospitals had better rates of 30‐day mortality for cardiovascular surgery while the rates of 30‐day readmissions were comparable with non–top ranked hospitals. Therefore, evaluating single parameters may not capture the multidimensional aspect of surgical quality as top‐ranked hospitals might perform better on one parameter while not as well on others. To this end, composite outcome measures such as TO might prove to be superior for the analyses of overall patient‐centered hospital performance. Van Roessel et al noted that TO can better reflect the quality and may be a powerful parameter to assess quality between different hospitals during regular audits for pancreatic surgery. Similarly, several other investigators reported TO as a useful tool to assess interhospital variations among patients undergoing complex surgery. , , As the TO composite measure combines important quality parameters into a single metric, TO may increase the reliability to evaluate overall hospital performance. In addition, TO is easier to interpret than examining trends in varied individual performance parameters. , As such, TO represents a better standard quality parameter to assess whether a patient had a “textbook” or “ideal” episode of care. Interestingly, TO varied considerably based on the surgical procedure. For example, only roughly 1 in 5 patients undergoing an esophageal cancer operation had a TO; in contrast, 2 in 3 patients who had a lung resection could expect a TO. As such, these data highlight that a majority of patients undergoing surgery should anticipate encountering at least one adverse event. In turn, the data have important potential implications for patients, providers, and policymakers in assessing “real world” patient‐centered, episode‐based outcomes. Further investigations are needed; however, to evaluate whether composite measures such as TO along with individual parameters should be considered for incorporation into the methodology of USNWR hospital rankings for cancer surgery. The current study should be interpreted in light of several limitations. As with any retrospective study, selection bias was possible. Furthermore, clinical data, such as the stage of the disease, histologic characteristics, estimated operative blood loss, and surgical margins were not adjusted in the multivariable analyses as USNWR takes into consideration the severity and complexity of the disease while ranking hospitals. In addition, as this study utilized Medicare data, clinical parameters such as tumor size, number of tumors, and extent of resection (ie, major vs minor) could not be captured; as such, unmeasured differences in tumor‐ and surgery‐related characteristics may have influenced the results. Due to the fact, that the current study included only Medicare patients, the results may not be applicable to a patient population younger than 65 years of age, individuals with other types of insurance, or patients with benign indications undergoing similar procedures. Despite its limitation, Medicare user files are important as they represent one of the largest patient population cohorts in the United States. Finally, other hospital characteristics were not controlled in the analyses, given that—by definition—the USNWR rankings scores take such hospital measures into account for specific hospital characteristics such as hospital teaching status, urban/rural hospitals, and availability of advanced technologies were not accounted for in the analyses, since the USNWR rankings take such hospital characteristics into account in the calculation of ranking scores. However, differences in hospital characteristics were also accounted for using the random‐effects model when comparing outcomes among hospitals. Also, as USNWR rankings are generalized for all high‐ and low‐risk cancer procedures, the findings of the current study and the USNWR rankings may not be appropriate to use to select hospitals for a given specific high‐risk cancer procedure. In conclusion, patients undergoing surgery for lung, esophageal, liver, pancreatic, and colorectal cancer had comparable rates of TO at honor roll vs nonhonor roll hospitals. In addition, no linear association was observed between hospital position in the rank and TO rates indicating that patients should not overly focus on the exact position within USNWR ranked hospitals. In turn, the data serve to inform patients and physicians that up to one‐half of patients undergoing surgery for cancer should anticipate at least one adverse outcome (ie, readmission within 90 days, prolonged LOS, postoperative complications, etc) following lung, esophageal, liver, pancreatic, and colorectal surgery. Furthermore, the current study served to highlight that patients may not benefit from overly prioritizing USNWR rankings when deciding where to undergo surgery for cancer.

CONFLICT OF INTERESTS

The authors declare that there are no conflict of interests.

SYNOPSIS

Patients undergoing surgery for lung, esophageal, liver, pancreatic, and colorectal cancer had comparable rates of textbook outcome (TO) at honor roll vs nonhonor roll hospitals. No linear association was observed between hospital position in the rank and TO indicating that patients should not overly focus on the exact position within U.S. News & World Report ranked hospitals. Supporting information Click here for additional data file.
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  3 in total

1.  Textbook outcomes in hepatobiliary and pancreatic surgery.

Authors:  Diamantis I Tsilimigras; Timothy Michael Pawlik; Dimitrios Moris
Journal:  World J Gastroenterol       Date:  2021-04-21       Impact factor: 5.742

2.  Textbook outcome as a composite outcome measure in non-small-cell lung cancer surgery.

Authors:  Martijn G Ten Berge; Naomi Beck; Willem Hans Steup; Ad F T M Verhagen; Thomas J van Brakel; Wilhelmina H Schreurs; Michel W J M Wouters
Journal:  Eur J Cardiothorac Surg       Date:  2021-01-04       Impact factor: 4.191

3.  Comparing textbook outcomes among patients undergoing surgery for cancer at U. S. News & World Report ranked hospitals.

Authors:  Rittal Mehta; Diamantis I Tsilimigras; Anghela Z Paredes; Kota Sahara; Amika Moro; Ayesha Farooq; Susan White; Aslam Ejaz; Allan Tsung; Mary Dillhoff; Jordan M Cloyd; Timothy M Pawlik
Journal:  J Surg Oncol       Date:  2020-03-02       Impact factor: 2.885

  3 in total

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