A variation in the value of colectomy for cancer across hospitals: mortality, readmissions, and costs

Post-surgical acute care utilization and cost of care among cancer survivors with an ostomy: Findings from three large hospital systems in the United States

PURPOSE

To describe patterns of 6-month total cost of care and acute care utilization among cancer survivors who received ostomy surgeries in 3 large hospital systems in the United States between 2018 and 2022 and to identify reasons for acute care utilization.

METHODS

A retrospective cohort study using electronic medical records and the corresponding hospital revenue data obtained from 3 geographically diverse hospital systems in the United States was performed. 6-month all-cause post-surgical encounters subsequent to respective ostomy surgery dates were included. Clinical reasons for acute care utilization were captured and examined via available diagnosis codes.

RESULTS

Mean six-month total cost of care per patient varied greatly by hospital and by payer type, ranging between $18,000 and $80,000. Inpatient care was the largest driver of these cost, accounting for 70 % of the total cost of care. In the sample, 56 % of the patients experienced one or more post-surgical inpatient admissions over a six-month period. Moreover, 26 % of the acute care events were associated with primary or secondary diagnosis codes potentially attributable to post-surgical ostomy-related complications, accounting for approximately 18 % of the total cost. Patients who received urostomy and/or had metastatic cancer had higher rates of acute care utilization, although statistical significances were not achieved.

CONCLUSION

The results are indicative of significant financial burdens as well as morbidities associated with post-surgical ostomy care that are common across hospital systems. Some of these cost burdens are potentially avoidable with improved ostomy follow-up care.

Comparison of Simulated Outcomes of Colorectal Cancer Surgery at the Highest-Performing vs Chosen Local Hospitals

IMPORTANCE

Variation in outcomes across hospitals adversely affects surgical patients. The use of high-quality hospitals varies by population, which may contribute to surgical disparities.

OBJECTIVE

To simulate the implications of data-driven hospital selection for social welfare among patients who underwent colorectal cancer surgery.

DESIGN, SETTING, AND PARTICIPANTS

This economic evaluation used the hospital inpatient file from the Florida Agency for Health Care Administration. Surgical outcomes of patients who were treated between January 1, 2016, and December 31, 2018 (training cohort), were used to estimate hospital performance. Costs and benefits of care at alternative hospitals were assessed in patients who were treated between January 1, 2019, and December 31, 2019 (testing cohort). The cohorts comprised patients 18 years or older who underwent elective colorectal resection for benign or malignant neoplasms. Data were analyzed from March to October 2022.

EXPOSURES

Using hierarchical logistic regression, we estimated the implications of hospital selection for in-hospital mortality risk in patients in the training cohort. These estimates were applied to patients in the testing cohort using bayesian simulations to compare outcomes at each patient's highest-performing and chosen local hospitals. Analyses were stratified by race and ethnicity to evaluate the potential implications for equity.

MAIN OUTCOMES AND MEASURES

The primary outcome was the mean patient-level change in social welfare, a composite measure balancing the value of reduced mortality with associated costs of care at higher-performing hospitals.

RESULTS

A total of 21 098 patients (mean [SD] age, 67.3 [12.0] years; 10 782 males [51.1%]; 2232 Black [10.6%] and 18 866 White [89.4%] individuals) who were treated at 178 hospitals were included. A higher-quality local hospital was identified for 3057 of 5000 patients (61.1%) in the testing cohort. Selecting the highest-performing hospital was associated with a 26.5% (95% CI, 24.5%-29.0%) relative reduction and 0.24% (95% CI, 0.23%-0.25%) absolute reduction in mortality risk. A mean amount of $1953 (95% CI, $1744-$2162) was gained in social welfare per patient treated. Simulated reassignment to a higher-quality local hospital was associated with a 23.5% (95% CI, 19.3%-32.9%) relative reduction and 0.26% (95% CI, 0.21%-0.30%) absolute reduction in mortality risk for Black patients, with $2427 (95% CI, $1697-$3158) gained in social welfare.

CONCLUSIONS AND RELEVANCE

In this economic evaluation, using procedure-specific hospital performance as the primary factor in the selection of a local hospital for colorectal cancer surgery was associated with improved outcomes for both patients and society. Surgical outcomes data can be used to transform care and guide policy in colorectal cancer.

Artificial intelligence-assisted colonic endocytoscopy for cancer recognition: a multicenter study

Background and study aims  Large adenomas are sometimes misidentified as cancers during colonoscopy and are surgically removed. To address this overtreatment, we developed an artificial intelligence (AI) tool that identified cancerous pathology in vivo with high specificity. We evaluated our AI tool under the supervision of a government agency to obtain regulatory approval. Patients and methods  The AI tool outputted three pathological class predictions (cancer, adenoma, or non-neoplastic) for endocytoscopic images obtained at 520-fold magnification and previously trained on 68,082 images from six academic centers. A validation test was developed, employing 500 endocytoscopic images taken from various parts of randomly selected 50 large (≥ 20 mm) colorectal lesions (10 images per lesion). An expert board labelled each of the 500 images with a histopathological diagnosis, which was made using endoscopic and histopathological images. The validation test was performed using the AI tool under a controlled environment. The primary outcome measure was the specificity in identifying cancer. Results  The validation test consisted of 30 cancers, 15 adenomas, and five non-neoplastic lesions. The AI tool could analyze 83.6 % of the images (418/500): 231 cancers, 152 adenomas, and 35 non-neoplastic lesions. Among the analyzable images, the AI tool identified the three pathological classes with an overall accuracy of 91.9 % (384/418, 95 % confidence interval [CI]: 88.8 %-94.3 %). Its sensitivity and specificity for differentiating cancer was 91.8 % (212/231, 95 % CI: 87.5 %-95.0 %) and 97.3 % (182/187, 95 % CI: 93.9 %-99.1 %), respectively. Conclusions  The newly developed AI system designed for endocytoscopy showed excellent specificity in identifying colorectal cancer.

Variation in the cost-of-rescue among medicare patients with complications following hepatopancreatic surgery

BACKGROUND

The relationship of expenditures related to rescuing patients from complications and hospital quality has not been well characterized. We sought to examine the relationship between payments for treating post-operative complications after liver and pancreas surgery and hospital quality.

METHODS

A retrospective cohort study of patients who underwent hepatopancreatic surgery was performed using claims data from 2013 to 2015 in the Medicare Provider Analysis and Review (MEDPAR) database. Medicare payments for index hospitalization and readmissions, as well as perioperative clinical outcomes were analyzed. Hospitals were stratified using average payments for patients who were rescued from complications (cost-of-rescue).

RESULTS

A total of 13,873 patients and 737 hospitals were included in the analyses. Patient characteristics were similar across hospitals. Risk-adjusted rates of overall complications were higher at the highest cost-of-rescue hospitals (relative risk [RR], 1.35, 95% confidence interval [CI] 1.16-1.58), as well as rates of serious complications (RR, 1.78, 95% CI 1.51-2.09), 30-day readmission (RR 1.21 95% CI 1.06-1.39), 90-day mortality (RR, 1.29, 95% CI 1.01-1.64), and rates of failure-to-rescue (RR, 1.50, 95% CI 1.14-1.97).

CONCLUSION

Highest cost-of-rescue hospitals demonstrated worse quality metrics, including higher rates of serious complications, failure-to-rescue, 30-day readmission, and 90-day mortality.

The impact of surgeon choices on costs associated with uncomplicated minimally invasive colectomy: you are not as important as you think

Background

There is increasing public discussion about the escalating cost of healthcare in America. There are no published data regarding the contribution of individual surgeons’ choices on the cost of uncomplicated minimally invasive colectomy.

Methods

A review of a hospital cost-accounting database of the direct costs related to the index operation and post-operative care of all patients who underwent elective minimally invasive segmental colectomy over a 1-year period was performed.

Results

A total of 111 cases were enrolled in this study, 18 of which were performed robotically. The average direct cost after minimally invasive colectomy was $5536. The cost of robotic colectomy was 53% greater than laparoscopic ($7806 vs $5096, p < 0.001). There was no statistically significant difference in overall costs among laparoscopic cases performed by three surgeons ($5099 vs $5108 vs $5055, p = 0.987). Average operating room supply costs among the three surgeons were $1236, $1105 and $1030, respectively (p = 0.067), with a standard deviation of $328 (6.4% of overall cost).

Conclusions

No significant difference in overall costs between surgeons was demonstrated despite varied training, experience levels and operative techniques. Total costs are relatively institutionally fixed and minimally influenced by variations in individual surgeon preferences.

Understanding drivers of hospital charge variation for episodes of care among patients undergoing hepatopancreatobiliary surgery

BACKGROUND

Understanding factors associated with variation in hospital charges may help identify means to increase savings. The aim of the present study was to define potential variation in hospital charges associated with hepatopancreatobiliary(HPB) surgery.

METHODS

Patients who underwent an HPB procedure between 2009-2013 were identified. Total hospital charges were tabulated for room and board, surgical/anaesthesia services, medications, laboratory/radiology services and other miscellaneous charges.

RESULTS

Approximately 2545 patients underwent either a pancreas (66.8%) or liver/biliary (33.2%) resection. The mean total charges for all patients were $42,357 ± 33,745 (pancreas: $46,352 ± 34,932 versus the liver: $34,303 ± 29,639; P < 0.001). Morbidity (pancreas, range: 7-18%; liver, range: 9-18%) and observed:expected (O:E) length of stay (LOS)(pancreas, range: 0.67-1.64; liver, range: 1.06-3.35) varied among providers (both P < 0.001). While a peri-operative complication resulted in increased total hospital charges (complication: $66,401 ± 55,124 versus no complication: $39,668 ± 29,250; P < 0.001), total charges remained variable even among patients who did not experience a complication (P < 0.001). Surgeons within the lowest quartile of O:E LOS had lower total charges ($33 879 ± $27 398) versus surgeons in the highest quartile ($49,498 ± 40 971) (P < 0.001). Surgeons with the highest O:E LOS had higher across-the-board charges (operating room, highest quartile: $10,514 ± $4496 versus lowest quartile: $7842 ± $3706; medication, highest quartile: $1796 ± $3799 versus lowest quartile: $925 ± $2211; radiology, highest quartile: $2494 ± $4683 versus lowest quartile: $1424 ± $3247; P = 0.001; laboratory, highest quartile: $4236 ± $5991 versus lowest quartile: $3028 ± $3804; all P < 0.001).

CONCLUSIONS

After accounting for in-hospital complications, the total mean hospital charges for HPB surgery remained variable by case type and provider. While the variation in charges was associated with LOS, provider-level differences in across-the-board charges were also noted.