Goal: We sought to document patient perceptions in 2021 regarding colonoscopy experience and potential deterrents to repeat colonoscopy.
Background And Aim: Bowel preparation has been previously considered by patients to be the worst part of a colonoscopy.
Materials And Methods: We conducted a prospective survey of consecutive patients age 18 years and older who had just completed colonoscopy at 2 outpatient endoscopy centers at a tertiary academic hospital. The short survey was conducted in the recovery area. The main outcome measure was patient perceptions of the worst part of their colonoscopy experience and which factor would most deter them from a future colonoscopy.
Results: Four hundred patients completed the survey of 405 approached. Average patient age was 64 years, and 48% were women. Seventy-five percent of patients used low-volume preparations. Bowel preparation was considered the worst part of colonoscopy by 71% of patients. Women were more likely to choose laxatives as the worst part of a colonoscopy. Bowel preparation was chosen most often (55%) as the most likely deterrent to a future colonoscopy. There were minimal differences in responses between those receiving low-volume versus high-volume (4 L) preparations.
Conclusion: Bowel preparation remains the worst part of the colonoscopy experience for patients, and the most likely deterrent to future colonoscopy.
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http://dx.doi.org/10.1097/MCG.0000000000001689 | DOI Listing |
Cureus
November 2024
Department of Gastroenterology, University of Missouri Columbia, Columbia, USA.
Background Artificial intelligence (AI) is a hot topic in the world of medicine. AI may be useful in identifying and sizing polyps, which influence surveillance intervals. Therefore, we examined polyp size estimation by AI using a survey study.
View Article and Find Full Text PDFInquiry
December 2024
School of Nursing, Hebei University, Baoding, China.
To investigate the factors influencing the colonoscopy screening behavior of first-degree relatives of colorectal cancer patients and to provide a basis for formulating screening intervention strategies. In this study, 15 first-degree relatives of colorectal cancer patients in the Department of Medical Oncology of a tertiary hospital in Baoding City from May to July 2024 were selected as the research subjects, and face-to-face semi-structured interviews were conducted. The theme was analyzed and summarized based on the theory of planned behavior and Colaizzi's 7-step analysis method.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Division of Gastroenterology, Dr. Sulaiman AI Habib Medical Group, Dubai Healthcare City, Dubai 51431, United Arab Emirates.
Background/objectives: Controlling colonoscopic quality is important in the detection of colon polyps during colonoscopy as it reduces the overall long-term colorectal cancer risk. Artificial intelligence has recently been introduced in various medical fields. In this study, we aimed to validate a previously developed artificial intelligence (AI) computer-aided detection (CADe) algorithm called ALPHAON and compare outcomes with previous studies that showed that AI outperformed and assisted endoscopists of diverse levels of expertise in detecting colon polyps.
View Article and Find Full Text PDFSurg Endosc
December 2024
Department of Electrical and Computer Engineering, Thompson Engineering Building - Western University, 1151 Richmond St, London, ON, N6A 5B9, Canada.
This systematic review and meta-analysis explores the clinical and patient-specific factors contributing to increased morbidity and mortality following iatrogenic colonic perforation (ICP) during routine colonoscopy. A comprehensive search of Scopus, PubMed (Medline), Embase, and Google Scholar was conducted, reviewing studies published between 2010 and 2024. Data were synthesized through thematic analysis for qualitative data and meta-analysis for quantitative outcomes.
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