{"doi":"10.1016/j.gastha.2022.07.005","title":"Scoping Out Misinformation: Assessing Factual Inaccuracies Among Popular Colonoscopy-Related Videos on Social Media","abstract":"Although colorectal cancer screening is recommended for all Americans at regular intervals, we have fallen short of screening goals such as the 80% by 2018 initiative led by the National Colorectal Cancer Round Table, leaving a significant proportion of eligible population still unscreened.1Oliver E. Becker’s GI and Endoscopy. Becker’s Healthcare, 2019Google Scholar Online misinformation is a growing concern that may undermine public health efforts.2Chou W.S. et al.JAMA. 2018; 320: 2417-2418Crossref PubMed Scopus (379) Google Scholar Specifically, misinformation regarding current recommendations, procedures, and result implications may contribute to the public’s hesitancy toward colorectal cancer screening. The prevalence and predictors of misinformation among contents on social media platforms such as YouTube with regard to colonoscopy remain unknown. We aimed to assess the quality and identify predictors of misinformation among the most viewed YouTube videos related to colonoscopy. We performed a cohort study assessing videos queried on November 21, 2020, with >250,000 views on YouTube under the search term “colonoscopy.” All videos were independently reviewed by 3 board-certified gastroenterologists from tertiary academic centers (C.T., R.S., and K.J.). Variables of interest included content type (instructional, vlog, comedy/nonmedical), total views, time since posting (days), content creator identity (societies/journals, physicians, patients, public figures, industry, other), and presence of endoscopy footage. Health professional (HP) content creators were defined as societies/journals and physicians, and non-HP or lay content creators were defined as patients and nonmedical public figures. Video content was assessed using 2 validated instruments for consumer health information: the DISCERN instrument and the Patient Education Material Assessment Tool (PEMAT) understandability score.3Charnock D. et al.J Epidemiol Community Health. 1999; 53: 105-111Crossref PubMed Scopus (1091) Google Scholar,4Shoemaker S.J. et al.Patient Educ Couns. 2014; 96: 395-403Crossref PubMed Scopus (346) Google Scholar Videos with DISCERN <2 or PEMAT <50% were considered inaccurate or of low scientific quality per established standards.5Loeb S. et al.Eur Urol Focus. 2020; 6: 437-439Abstract Full Text Full Text PDF PubMed Scopus (21) Google Scholar The likelihood to recommend a video to a patient was rated on a 5-point Likert scale. Univariate analyses were performed using chi-squared (categorical) or Student’s t-test (continuous). Multivariable analyses were conducted using linear or logistic regression. Of 69 YouTube videos with >250,000 views identified (Table A1), 30 were posted by HP and 39 were posted by non-HP. Overall, 52.2% and 59.4% were deemed inaccurate and of low scientific quality by DISCERN <2 and PEMAT <50%, respectively. Videos with an HP present demonstrated greater mean DISCERN (2.82 vs 1.42; P < .0001) and PEMAT (57% vs 24%; P < .0001) scores. More videos by HP content creators were accurate or of sufficient scientific quality by DISCERN ≥2 (83.3% vs 20.5%; P < .0001) or PEMAT ≥50% (66.7% vs 20.5%; P = .0001; Figure). On univariate analyses, the mean DISCERN was lower for non-HP vs HP content creators (1.48 vs 2.89; P < .0001). Videos from HP content creators were also more likely to be recommended by reviewers on the 5-point Likert scale (3.14 vs 1.44; P < .0001; Table A2). Multivariable analysis demonstrated that HP content creators (β-coefficient 1.19; P = .0003) and instructional videos (β-coefficient 0.98; P = .002) were significantly associated with higher DISCERN; however, endoscopic footage was a negative effect modifier for the benefits of HP content creators (β-coefficient −0.61; P = .03). On multivariable analysis for PEMAT, HP content creators (β-coefficient 30.5; P = .003) and instructional videos (β-coefficient 24.1; P = .01) were similarly associated with higher scores, with endoscopic footage being a negative effec","journal":"Gastro Hep Advances","year":2022,"id":283746,"datarank":0.29188652235829704,"base_score":1.9459101490553132,"endowment":1.9459101490553132,"self_citation_contribution":0.29188652235829704,"citation_network_contribution":0.0,"self_endowment_contribution":0.29188652235829704,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9483,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":248518,"name":"Kunal Jajoo","orcid":null,"position":1,"is_corresponding":false},{"id":960589,"name":"Raina Shivashankar","orcid":"0000-0002-6500-5844","position":2,"is_corresponding":false},{"id":960590,"name":"Christina Tofani","orcid":"0000-0001-6994-7663","position":3,"is_corresponding":false},{"id":960591,"name":"Amit Agarwal","orcid":"0000-0001-7136-8206","position":4,"is_corresponding":false},{"id":960998,"name":"N.J. Rodriguez","orcid":null,"position":5,"is_corresponding":false},{"id":233703,"name":"Walter W. Chan","orcid":"0000-0002-1709-8230","position":6,"is_corresponding":false},{"id":960588,"name":"Austin L. Chiang","orcid":"0000-0002-8066-1508","position":0,"is_corresponding":true}],"reference_count":6,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T00:29:28.452697Z","pmid":"36381606","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}