Impact of a Citywide Benchmarking Intervention on Colonoscopy Quality Performance

How to implement adverse events as a quality indicator in gastrointestinal endoscopy

Quality improvement through the registration of endoscopy-related adverse events (AEs) has been recognized by major international endoscopy societies as an important quality indicator. The theory behind this is easier to approve than its implementation in daily practice. The results of many valuable attempts have been published in the literature, mainly highlighting the diverse hurdles trying to capture events related to endoscopy and the sedation used for endoscopic procedures. The current review discusses the difficulties encountered attempting to register AEs and incidents related to endoscopic procedures. Government-driven and financed health-care databases with automated coupling of specific data seem the only efficient way to implement endoscopy-related AEs and outcomes on a prospective and complete basis. This will not only allow continuous confidential feedback to endoscopists in relation to the pooled national benchmark data, but also follow-up in time through data-driven credentialing aiming to progressively optimize these benchmark data.

Endoscopy Unit Level Interventions to Improve Adenoma Detection Rate: A Systematic Review and Meta-Analysis

BACKGROUND & AIMS

Adenoma detection rate (ADR) is inversely correlated with the risk of interval colon cancer and is a key target for quality improvement in endoscopy units. We conducted a systematic review and meta-analysis to identify and evaluate the effectiveness of interventions that can be implemented at the endoscopy unit level to improve ADRs.

METHODS

Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic search was conducted in MEDLINE, Embase, and Cochrane Central Register of Controlled Trials databases between January 1990 and December 2022 to identify relevant studies. Both randomized controlled trials and observational studies were eligible. Data for the primary outcome of ADR were analyzed and reported on the log-odds scale with 95% CIs using a random-effects meta-analysis model using the empiric Bayes estimator.

RESULTS

From 10,778 initial citations, 34 studies were included in the meta-analysis comprising 371,041 procedures and 1501 endoscopists. The provision of report cards (odds ratio [OR], 1.28; 95% CI, 1.13-1.45; P < .001) and the presence of an additional observer to identify polyps (OR, 1.25; 95% CI, 1.09-1.43; P = .002) were associated with significant increases in ADRs whereas multimodal interventions were borderline significant (OR, 1.18; 95% CI, 1.00-1.40; P = .05) and withdrawal time monitoring was not associated significantly with an increase in ADRs (OR, 1.35; 95% CI, 0.93-1.96; P = .11).

CONCLUSIONS

The provision of report cards and the presence of an additional observer to identify polyps are associated with improved ADRs and should be considered for implementation in endoscopy facilities.

Utilization and quality assessment of digestive endoscopy in China: results from 5-year consecutive nationwide surveys

BACKGROUND

Worldwide, the volume and availability of digestive endoscopy have undergone dramatic development in recent years, with increasing attention on quality assurance. We investigated the utilization and quality of digestive endoscopy in China from 2015 to 2019 and developed a quantitative quality evaluation tool for medical institutions.

METHODS

We invited all tertiary/secondary hospitals in Chinese mainland to participate in the survey annually. The questionnaires included the personnel, annual volume, and quality indicators of endoscopy. An endoscopy quality index (EQI) was developed based on recorded quality indicators using principal component analysis to determine the relative weight.

RESULTS

From 2015 to 2019, 806, 1412, 2644, 2468, and 2541 hospitals were respectively enrolled in this study. The average annual volume of endoscopy increased from 12,445 to 16,206 (1.30-fold) and from 2938 to 4255 (1.45-fold) in tertiary and secondary hospitals, respectively. The most obvious growth was observed in diagnostic colonoscopy (1.44-fold for all hospitals after standardization). The proportion of early cancer among all esophageal and gastric cancers during diagnostic esophagogastroduodenoscopy increased from 12.3% (55,210/448,861) to 17.7% (85,429/482,647) and from 11.4% (69,411/608,866) to 16.9% (107,192/634,235), respectively. The adenoma detection rate of diagnostic colonoscopy increased from 14.9% (2,118,123/14,215,592) to 19.3% (3,943,203/20,431,104). The EQI model included 12 quality indicators, incorporating 64.9% (7.792/12) of the total variance into one comprehensive index. According to the EQI measurements, the quality of endoscopy was higher in tertiary hospitals and hospitals in developed areas with higher volume or more endoscopists than that in other hospitals.

CONCLUSIONS

Digestive endoscopy in China has developed considerably in recent years in terms of both volume and quality. The EQI is a promising tool to quantify the quality of endoscopy at different hospitals.

Preoperative Oral-Bowel Preparation Using Sodium Picosulfate and Magnesium Citrate Combination Powder for Left-Sided Colorectal Cancer: A Prospective Study

Objective

This study aimed to determine if induction of sodium picosulfate and magnesium citrate (SPMC) preparation leads to adequate surgery for left-sided colorectal cancer (CRC).

Summary of Background Data

Adequate bowel cleansing is vital for safe and accurate colorectal surgery. Ingestion of laxatives for bowel cleansing may be associated with a broad spectrum of adverse effects during surgical intervention.

Methods

A single-center prospective study was conducted with hospitalized patients scheduled operation for left-sided CRC. All enrolled patients were instructed to consume normal diet until before preparation. Twenty-seven patients underwent preoperative SPMC preparation.

Results

The primary endpoint of this study was the 30-day postoperative morbidity rate, which was 23%, and no postoperative complication was higher than Clavien-Dindo grade 3. The primary anastomosis rate was 100%, and there was no anastomotic leakage. The colonic cleansing grades were 1 or 2 according to the bowel preparation scale for surgical assessment in 89% of the patients. The acceptability of the cleansing procedure by the patients assessed by a questionnaire was 85%, and the acceptability of the SPMC preparation by the medical staff was 93%. The surgical procedures included 18 laparoscopies, 6 robotic surgeries, and 3 laparotomies. The median operation time was 165 minutes, and the median blood loss was &lt;50 cc. The median sodium serum concentration was significantly decreased after surgery.

Conclusion

Ingestion of an SPMC preparation as a cleansing procedure was judged to be adequate for curative surgery in patients with left-sided colorectal cancer.

Automated detection of cecal intubation with variable bowel preparation using a deep convolutional neural network

Background and study aims  Colonoscopy completion reduces post-colonoscopy colorectal cancer. As a result, there have been attempts at implementing artificial intelligence to automate the detection of the appendiceal orifice (AO) for quality assurance. However, the utilization of these algorithms has not been demonstrated in suboptimal conditions, including variable bowel preparation. We present an automated computer-assisted method using a deep convolutional neural network to detect the AO irrespective of bowel preparation. Methods  A total of 13,222 images (6,663 AO and 1,322 non-AO) were extracted from 35 colonoscopy videos recorded between 2015 and 2018. The images were labelled with Boston Bowel Preparation Scale scores. A total of 11,900 images were used for training/validation and 1,322 for testing. We developed a convolutional neural network (CNN) with a DenseNet architecture pre-trained on ImageNet as a feature extractor on our data and trained a classifier uniquely tailored for identification of AO and non-AO images using binary cross entropy loss. Results  The deep convolutional neural network was able to correctly classify the AO and non-AO images with an accuracy of 94 %. The area under the receiver operating curve of this neural network was 0.98. The sensitivity, specificity, positive predictive value, and negative predictive value of the algorithm were 0.96, 0.92, 0.92 and 0.96, respectively. AO detection was > 95 % regardless of BBPS scores, while non-AO detection improved from BBPS 1 score (83.95 %) to BBPS 3 score (98.28 %). Conclusions  A deep convolutional neural network was created demonstrating excellent discrimination between AO from non-AO images despite variable bowel preparation. This algorithm will require further testing to ascertain its effectiveness in real-time colonoscopy.