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Record W4241315352 · doi:10.1093/jcag/gwab002.097

A99 OPTIMIZING COLONOSCOPY PROCEDURES AND REDUCING PATIENT ANXIETY THROUGH RECENTLY DEVELOPED ONLINE INFORMATION RESOURCES

2021· article· en· W4241315352 on OpenAlexaffabout
Avni Jain, Ruchi Jain, Zoann Nugent, Dylan Davidson, Zahra Solati, Gayle Restall, Kristin Reynolds, Leigh Ann Shafer, H Singh

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2021
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsColonoscopyAnxietyMedicineBowel preparationDistressLogistic regressionAssociation (psychology)MEDLINEColorectal cancerEmergency medicineInternal medicinePsychiatryPsychologyClinical psychology

Abstract

fetched live from OpenAlex

Abstract Background Invasive medical procedures such as colonoscopies are known to cause psychological distress and anxiety. Patient anxiety leads to reduce patient compliance for colonoscopy and increased adverse effects. Patient education prior to colonoscopy has previously been shown to have positive effects on outcomes and experience. Based on patient and provider input, we have developed easy to read written materials and easy to follow video materials, which other patients have rated highly. These, along with other materials, are embedded on Mycolonoscopy.ca. Mycolonoscopy.ca is a website that provides online information access for patients regarding preparation and peri-procedural expectations. Information about accessing the website is provided with appointment materials (which includes information about split-dose versus one day bowel preparation, giving patients the option between the two) mailed to all patients undergoing outpatient colonoscopy in Winnipeg. Aims (1) To evaluate the current use of mycolonoscopy.ca among patients undergoing colonoscopy (2) To determine whether there is an association between visitation to the website and patient outcomes such as reduction in procedural anxiety, bowel preparation tolerance/compliance, and bowel preparation score. Methods A paper-based survey was given out to patients at their colonoscopy appointments. Univariate and multivariate logistic regression analyses was performed to determine the factors associated with website visitation and association with procedural anxiety, bowel preparation compliance and bowel preparation scores. Results A total of 593 participants were given the surveys, of which 506 were completed. 17.4% of participants had visited the website prior to their colonoscopy. Visitors to mycolonoscopy.ca and those that had heard of the website were more likely to consume a split-dose bowel preparation (63.9% and 68.2% respectively) compared with non-visitors (52.5%) (p=0.0062). Individuals who consumed split-dose bowel preparation had a median Boston bowel preparation score of 9, compared with a score of 7 for individuals who used other forms of preparation (p<0.0001). 31.3% of website visitors were very or extremely worried about their colonoscopy compared with 17.9% of non-visitors. 76.6% of individuals agreed or strongly agreed that visiting the website helped them prepare for their colonoscopy and 69.7% who visited the website agreed or strongly agreed that it helped to reduce their stress/anxiety for the procedure as well. Conclusions Our study suggests that use of an informative online platform such as mycolonoscopy.ca can help to improve patient education prior to colonoscopy, reduce anxiety and stress surrounding the procedure, and improve bowel preparation compliance and bowel cleansing score. Funding Agencies CAG

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.237
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2021
Admission routes2
Has abstractyes

Explore more

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