Complications, Not Minimally Invasive Surgical Technique, Are Associated with Increased Cost after Esophagectomy

Variability drivers of treatment costs in hospitals: A systematic review

OBJECTIVES

Studies on variability drivers of treatment costs in hospitals can provide the necessary information for policymakers and healthcare providers seeking to redesign reimbursement schemes and improve the outcomes-over-cost ratio, respectively. This systematic literature review, focusing on the hospital perspective, provides an overview of studies focusing on variability in treatment cost, an outline of their study characteristics and cost drivers, and suggestions on future research methodology.

METHODS

We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Cochrane Handbook for Systematic Reviews of Interventions. We searched PubMED/MEDLINE, Web of Science, EMBASE, Scopus, CINAHL, Science direct, OvidSP and Cochrane library. Two investigators extracted and appraised data for citation until October 2020.

RESULTS

90 eligible articles were included. Patient, treatment and disease characteristics and, to a lesser extent, outcome and institutional characteristics were identified as significant variables explaining cost variability. In one-third of the studies, the costing method was classified as unclear due to the limited explanation provided by the authors.

CONCLUSION

Various patient, treatment and disease characteristics were identified to explain hospital cost variability. The limited transparency on how hospital costs are defined is a remarkable observation for studies wherein cost variability is the main focus. Recommendations relating to variables, costs, and statistical methods to consider when designing and conducting cost variability studies were provided.

Performance of a deep learning-based identification system for esophageal cancer from CT images

BACKGROUND

Because cancers of hollow organs such as the esophagus are hard to detect even by the expert physician, it is important to establish diagnostic systems to support physicians and increase the accuracy of diagnosis. In recent years, deep learning-based artificial intelligence (AI) technology has been employed for medical image recognition. However, no optimal CT diagnostic system employing deep learning technology has been attempted and established for esophageal cancer so far.

PURPOSE

To establish an AI-based diagnostic system for esophageal cancer from CT images.

MATERIALS AND METHODS

In this single-center, retrospective cohort study, 457 patients with primary esophageal cancer referred to our division between 2005 and 2018 were enrolled. We fine-tuned VGG16, an image recognition model of deep learning convolutional neural network (CNN), for the detection of esophageal cancer. We evaluated the diagnostic accuracy of the CNN using a test data set including 46 cancerous CT images and 100 non-cancerous images and compared it to that of two radiologists.

RESULTS

Pre-treatment esophageal cancer stages of the patients included in the test data set were clinical T1 (12 patients), clinical T2 (9 patients), clinical T3 (20 patients), and clinical T4 (5 patients). The CNN-based system showed a diagnostic accuracy of 84.2%, F value of 0.742, sensitivity of 71.7%, and specificity of 90.0%.

CONCLUSIONS

Our AI-based diagnostic system succeeded in detecting esophageal cancer with high accuracy. More training with vast datasets collected from multiples centers would lead to even higher diagnostic accuracy and aid better decision making.

Factors associated with the costs of hospitalization after esophagectomy: a retrospective observational study at a three-tertiary cancer hospital in China

Background

Esophageal cancer represents a major health threat in China. Esophagectomy is the standard treatment for respectable esophageal cancer. This study aimed to investigate the costs of hospitalization in esophageal cancer patients undergoing esophagectomy, and to analyze the factors influencing these costs.

Methods

A retrospective observational study which enrolled 196 patients who underwent esophagectomy from September, 2018, to April, 2019, in the Affiliated Cancer Hospital of Zhengzhou University were conducted

Results

The median inpatient cost was ￥72,772 (range, ￥49,796–128,771). Materials accounted for 39.7% of the direct medical costs, which was the highest proportion for any of the cost components. Minimally invasive esophagectomy (MIE, OR: 0.031; 95% CI: 0.005–0.209), cardiopathy comorbidity (OR: 0.344; 95% CI: 0.136–0.872), and anastomotic leak (OR: 0.012; 95% CI: 0.001–0.131) were risk factors for higher cost, while early oral feeding (OR: 3.979; 95% CI: 1.430–11.067) was a protective factor.

Conclusions

Understanding the factors associated with high hospitalization costs will help to reduce healthcare expenditure. By controlling complications and promoting early oral feeding, the economic burden on esophagectomy patients can be relieved. Further research based on a longitudinal design is needed to investigate the full costs of hospitalization associated with esophageal cancer.

Preoperative exercise to improve fitness in patients undergoing complex surgery for cancer of the lung or oesophagus (PRE-HIIT): protocol for a randomized controlled trial

BACKGROUND

Patients with cancer of the lung or oesophagus, undergoing curative treatment, usually require a thoracotomy and a complex oncological resection. These surgeries carry a risk of major morbidity and mortality, and risk assessment, preoperative optimisation, and enhanced recovery after surgery (ERAS) pathways are modern approaches to optimise outcomes. Pre-operative fitness is an established predictor of postoperative outcome, accordingly, targeting pre-operative fitness through exercise prehabilitation has logical appeal. Exercise prehabilitation is challenging to implement however due to the short opportunity for intervention between diagnosis and surgery. Therefore, individually prescribed, intensive exercise training protocols which convey clinically meaningful improvements in cardiopulmonary fitness over a short period need to be investigated. This project will examine the influence of exercise prehabilitation on physiological outcomes and postoperative recovery and, through evaluation of health economics, the impact of the programme on hospital costs.

METHODS

The PRE-HIIT Randomised Controlled Trial (RCT) will compare a 2-week high intensity interval training (HIIT) programme to standard preoperative care in a cohort of thoracic and oesophageal patients who are > 2-weeks pre-surgery. A total of 78 participants will be recruited (39 per study arm). The primary outcome is cardiorespiratory fitness. Secondary outcomes include, measures of pulmonary and physical and quality of life. Outcomes will be measured at baseline (T0), and post-intervention (T1). Post-operative morbidity will also be captured. The impact of PRE-HIIT on well-being will be examined qualitatively with focus groups/interviews post-intervention (T1). Participant's experience of preparation for surgery on the PRE-HIIT trial will also be explored. The healthcare costs associated with the PRE-HITT programme, in particular acute hospital costs, will also be examined.

DISCUSSION

The overall aim of this RCT is to examine the effect of tailored, individually prescribed high intensity interval training aerobic exercise on pre-operative fitness and postoperative recovery for patients undergoing complex surgical resections, and the impact on use of health services.

TRIAL REGISTRATION

The study is registered with Clinical Trials.Gov (NCT03978325). Registered on 7th June 2019.

Imaging findings of complications after thoracic surgery

Many surgical procedures are used for the treatment of lung, heart, and mediastinal diseases. The techniques can result in postoperative complications. The nature of these complications differs according to the duration of thoracic surgery and the onset of the complication. The complications occurring within 1 month and more than 1 month generally considered as early and late complications, respectively. Chest radiographs and CT scans obtained in patients who have undergone thoracic surgery show normal changes during the surgical procedure and diverse postsurgical complications. Familiarity with the clinical and radiologic findings of the normal alterations and possible complications after thoracic surgery is crucial in minimizing the increased morbidity and mortality.

The Cost of Complications Following Major Resection of Malignant Neoplasia

BACKGROUND

Rising healthcare costs have led to increased focus on the need to achieve a higher "value of care." As value-maximization efforts expand to include more complex surgical patients, evidence to support meaningful implementation of complication-based initiatives is lacking. The objective of this study was to compare incremental costs of complications following major gastrointestinal (GI) resections for organ-specific malignant neoplasia using nationally representative data.

METHODS

National (Nationwide) Inpatient Sample data, 2001-2014, were queried for adult (≥ 18 years) patients undergoing major resections for malignant neoplasia. Based on system-based complications considered relevant to the long-term treatment of GI disease, stratified differences in risk-adjusted incremental hospital costs and complication probabilities were compared. Differences in surgical outcomes and costs over time were also assessed.

RESULTS

A total of 293,967 patients were included, weighted to represent 1,408,117 patients nationwide. One fourth (26.1%; 95% CI, 25.7-26.4%) experienced ≥ 1 pre-discharge complication (range, 45.3% esophagectomy to 24.0% rectal resection). Resultant annual risk-adjusted incremental hospital costs totaled $540 million nationwide (19.5% of the overall cost of care and an average of $20,900 per patient). Costs varied substantially with both cancer/resection type and complication group, ranging from $76.7 million for colectomies with infectious complications to $0.2 million for rectal resections with urinary complications. For each resection type, infectious ($154.7 million), GI ($85.5 million), and pulmonary ($77.9 million) complications were among the most significant drivers of increased hospital cost.

CONCLUSIONS

Quantifying and comparing the impact of complications on an indication-specific level in more complex patients offers an important step toward allowing providers/payers to meaningfully prioritize the design of novel and adaptation of existing value-maximization approaches.