Which Test Is Best? A Cluster-Randomized Controlled Trial of a Risk Calculator and Recommendations on Colorectal Cancer Screening Behaviour in General Practice.

Cancer screening Cluster-randomized controlled trial Colorectal cancer General practice

Journal

Public health genomics
ISSN: 1662-8063
Titre abrégé: Public Health Genomics
Pays: Switzerland
ID NLM: 101474167

Informations de publication

Date de publication:
04 Oct 2022
Historique:
received: 17 12 2021
accepted: 13 08 2022
entrez: 4 10 2022
pubmed: 5 10 2022
medline: 5 10 2022
Statut: aheadofprint

Résumé

This cluster-randomized controlled trial aimed to assess the effect of the "Which test is best?" tool on risk-appropriate screening (RAS) and colorectal cancer (CRC) screening uptake. General practices in Sydney and Melbourne, Australia, and a random sub-sample of 460 patients (aged 25-74 years) per practice were invited by post. Clusters were computer randomized independently of the researchers to an online CRC risk calculator with risk-based recommendations versus usual care. Primary and secondary outcomes were RAS and screening uptake via self-reported 5-year screening behaviour after 12 months follow-up. The usual care group (UCG) also self-reported 5-year CRC screening behaviour at 12 month post-randomization. Fifty-six practices were randomized (27 to the intervention and 29 to the control, 55 practices participated) with 818 intervention and 677 controls completing the primary outcome measure. The intervention significantly increased RAS in high-risk participants compared with UCG (80.0% vs. 64.0%, respectively; OR = 3.14, 95% CI: 1.25-7.96) but not in average-risk (44.9% vs. 49.5%, respectively; OR = 0.97, 95% CI: 0.99-1.12) or moderate-risk individuals (67.9% vs. 81.1%, respectively; OR = 0.40, 95% CI: 0.12-1.33). Faecal occult blood testing uptake over 12 months was increased compared with the UCG (24.9% vs. 15.1%; adjusted OR = 1.66, 95% CI: 1.24-2.22), and there was a non-significant increase in colonoscopies during the same period (16.6% vs. 12.2%; adjusted OR = 1.42, 95% CI: 0.97-2.08). An online CRC risk calculator with risk-based screening recommendations increased RAS in high-risk participants and improved screening uptake overall within a 12-month follow-up period. Such tools may be useful for facilitating the uptake of risk-based screening guidelines.

Identifiants

pubmed: 36195055
pii: 000526628
doi: 10.1159/000526628
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-16

Informations de copyright

© 2022 The Author(s). Published by S. Karger AG, Basel.

Auteurs

Lyndal J Trevena (LJ)

Faculty of Medicine and Health, School of Public Health, University of Sydney, Sydney, New South Wales, Australia.

Bettina Meiser (B)

Psychosocial Research Group, Prince of Wales Clinical School, UNSW, Sydney, New South Wales, Australia.

Llewellyn Mills (L)

Psychosocial Research Group, Prince of Wales Clinical School, UNSW, Sydney, New South Wales, Australia.

Timothy Dobbins (T)

School of Population Health, UNSW, Sydney, New South Wales, Australia.

Danielle Mazza (D)

Department of General Practice, Monash University, Melbourne, Victoria, Australia.

Jon D Emery (JD)

Department of General Practice, Centre for Cancer Research, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia.

Judy Kirk (J)

Faculty of Medicine and Health, Western Clinical School, University of Sydney, Sydney, New South Wales, Australia.

Annabel Goodwin (A)

Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.

Kristine Barlow-Stewart (K)

Faculty of Medicine and Health, Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia.

Sundresan Naicker (S)

Faculty of Medicine and Health, School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Australian Centre for Health Services Innovation (AusHSI), Centre for Healthcare Transformation, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.

Classifications MeSH