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Record W4391873449 · doi:10.1093/jcag/gwad061.086

A86 INFORMING MODERN CARE FOR CANADIAN IBD PATIENTS: A PROSPECTIVE RANDOMIZED TRIAL ON APPOINTMENT TYPES

2024· article· en· W4391873449 on OpenAlexaffabout
Ciarán Galts, Braden D. Siempelkamp, Kia Cade, Laura Wilson, Dustin Loomes

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsUniversity of British ColumbiaMcMaster University
Fundersnot available
KeywordsRandomized controlled trialMedicineFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background There is now significant data supporting virtual care (telehealth or telephone) as a means to provide care to IBD patients with equivalent outcomes to in-person care. Many studies assessing virtual care lack a control group and suffer from recall bias. Further, there is a lack of understanding individual patient appointment style preferences and the reasons for these preferences. Aims We aimed to determine patient’s preferred appointment styles and to inform these preferences by assessing demographic factors and other appointment related factors (e.g. cost, time required, communication, privacy etc). We hypothesize that this information may help to inform decisions regarding choosing the optimal appointment for patients. Methods In this single centre randomized trial we assigned IBD patients to in-person, telehealth (with video), or telephone appointments in a sequential manner. To minimize recall bias, surveys were completed after each appointment style. All participants had demographic data collected and survey data was compiled using UBC redcap. Standard regression analyses and T-scores were used for assessment of statistical significance. Results After exclusion of surveys with incomplete data, a total of 81 surveys were included, 27 in-person, 28 telephone, and 26 telehealth. The overall scores (out of ten) were 9.1 ±1.0, 7.8 ±2.1, and 8.0 ±2.6 for in-person, telephone and telehealth appointments respectively. With exclusion of telehealth appointments which suffered technical difficulties (n=6) the overall score improved and range was comparable to in-person appointments (8.9 ±1.2). In-person appointments were associated with a higher cost and longer time commitment but had the highest scores across all appointment features (e.g. perceived privacy, physician engagement etc.). Among patients who would have preferred an in-person appointment optimal communication (80.0%) and interaction with care provider (83.3%) were prioritized. Conversely, among participants who would have preferred telehealth appointments, time savings (71.4%) and cost savings (42.9%) were prioritized. Age, gender, number of dependents, and perceived privacy were not associated with any appointment style preference. Conclusions This study concludes that all appointment styles have certain benefits and drawbacks that individual patients may variably prioritize. In-person appointments had a higher cost and time requirement but still remained the highest rated appointment style. As virtual care continues to be part of the standard of care for patients with IBD, we suggest that providers individualize the style of patient appointment to their patients and the expected nature of that encounter. Funding Agencies None

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.849
Threshold uncertainty score0.301

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0140.000

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 head0.009
GPT teacher head0.255
Teacher spread0.247 · 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 designRandomized trial
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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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