Evidence map›Paper›PMID 38238256›Full record

ArticleJMIR cancer2024

Improving Concordance Between Clinicians With Australian Guidelines for Bowel Cancer Prevention Using a Digital Application: Randomized Controlled Crossover Study.

Tsai-Wing Ow, Olga Sukocheva, Peter Bampton, Guruparan Iyngkaran, Christopher K Rayner, Edmund Tse

Open access · goldAbstract read
In one paragraph

Article in JMIR cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Tsai-Wing OwDepartment of Gastroenterology and Hepatology, Royal Adelaide Hospital, Adelaide, Australia.ORCID https://orcid.org/0000-0002-5405-7681
Olga SukochevaDepartment of Gastroenterology and Hepatology, Royal Adelaide Hospital, Adelaide, Australia.ORCID https://orcid.org/0000-0003-1041-3311
Peter BamptonDepartment of Gastroenterology and Hepatology, Royal Adelaide Hospital, Adelaide, Australia.ORCID https://orcid.org/0000-0002-5873-4459
Guruparan IyngkaranDepartment of Gastroenterology and Hepatology, Royal Melbourne Hospital, Melbourne, Australia.ORCID https://orcid.org/0000-0002-0486-9585
Christopher K RaynerDepartment of Gastroenterology and Hepatology, Royal Adelaide Hospital, Adelaide, Australia.ORCID https://orcid.org/0000-0002-5527-256X
Edmund TseDepartment of Gastroenterology and Hepatology, Royal Adelaide Hospital, Adelaide, Australia.ORCID https://orcid.org/0000-0003-0643-3926
Royal Adelaide Hospital · AUThe Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAustralia's bowel cancer prevention guidelines, following a recent revision, are among the most complex in the world. Detailed decision tables outline screening or surveillance recommendations for 230 case scenarios alongside cessation recommendations for older patients. While these guidelines can help better allocate limited colonoscopy resources, their increasing complexity may limit their adoption and potential benefits. Therefore, tools to support clinicians in navigating these guidelines could be essential for national bowel cancer prevention efforts. Digital applications (DAs) represent a potentially inexpensive and scalable solution but are yet to be tested for this purpose.

objectiveThis study aims to assess whether a DA could increase clinician adherence to Australia's new colorectal cancer screening and surveillance guidelines and determine whether improved usability correlates with greater conformance to guidelines.

methodsAs part of a randomized controlled crossover study, we created a clinical vignette quiz to evaluate the efficacy of a DA in comparison with the standard resource (SR) for making screening and surveillance decisions. Briefings were provided to study participants, which were tailored to their level of familiarity with the guidelines. We measured the adherence of clinicians according to their number of guideline-concordant responses to the scenarios in the quiz using either the DA or the SR. The maximum score was 18, with higher scores indicating improved adherence. We also tested the DA's usability using the System Usability Scale.

resultsOf 117 participants, 80 were included in the final analysis. Using the SR, the adherence of participants was rated a median (IQR) score of 10 (7.75-13) out of 18. The participants' adherence improved by 40% (relative risk 1.4, P<.001) when using the DA, reaching a median (IQR) score of 14 (12-17) out of 18. The DA was rated highly for usability with a median (IQR) score of 90 (72.5-95) and ranked in the 96th percentile of systems. There was a moderate correlation between the usability of the DA and better adherence (r

conclusionsDAs can significantly improve the adoption of complex Australian bowel cancer prevention guidelines. As screening and surveillance guidelines become increasingly complex and personalized, these tools will be crucial to help clinicians accurately determine the most appropriate recommendations for their patients. Additional research to understand why some practitioners perform worse with DAs is required. Further improvements in application usability may optimize guideline concordance further.

Indexed as

applicationAustraliabowel cancercancercancer preventionclinical vignette quizcolorectal cancercolorectal cancer screeningdigital applicationguidelinespreventionquestionnairesurveillanceusability

Identifiers

PMID38238256
PMCPMC10921317
OpenAlexW4390965354

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.