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

IF 1.3 4区 医学 Q4 GENETICS & HEREDITY Public Health Genomics Pub Date : 2022-10-04 DOI:10.1159/000526628
Lyndal J Trevena, Bettina Meiser, Llewellyn Mills, Timothy Dobbins, Danielle Mazza, Jon D Emery, Judy Kirk, Annabel Goodwin, Kristine Barlow-Stewart, Sundresan Naicker
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Abstract

Introduction: 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.

Methods: 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.

Results: 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).

Conclusion: 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.

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哪种测试最好?全科医生大肠癌筛查行为的风险计算器和建议的分组随机对照试验。
简介:这项分组随机对照试验旨在评估 "哪种检查最好?这项分组随机对照试验旨在评估 "哪种检查最好?"工具对风险适当筛查(RAS)和结直肠癌(CRC)筛查接受率的影响:方法:通过邮寄方式邀请澳大利亚悉尼和墨尔本的全科医生以及每个医生随机抽取的 460 名患者(年龄在 25-74 岁之间)作为子样本。在研究人员的独立指导下,各组患者被随机分配到一个在线 CRC 风险计算器中,该计算器提供了基于风险的建议和常规护理。主要和次要结果是 RAS 和随访 12 个月后自我报告的 5 年筛查行为。常规护理组(UCG)也在随机后 12 个月自我报告 5 年的 CRC 筛查行为:56 家诊所接受了随机干预(27 家诊所接受干预,29 家诊所接受对照,55 家诊所参与),818 名干预者和 677 名对照者完成了主要结果测量。与 UCG 相比,干预措施明显增加了高风险参与者的 RAS(分别为 80.0% 对 64.0%;OR = 3.14,95% CI:1.25-7.96),但在平均风险(分别为 44.9% 对 49.5%;OR = 0.97,95% CI:0.99-1.12)或中度风险个体(分别为 67.9% 对 81.1%;OR = 0.40,95% CI:0.12-1.33)中则没有增加。与 UCG 相比,12 个月内粪便隐血检测的接受率有所提高(24.9% 对 15.1%;调整 OR = 1.66,95% CI:1.24-2.22),同期结肠镜检查的接受率也有不明显的提高(16.6% 对 12.2%;调整 OR = 1.42,95% CI:0.97-2.08):在线 CRC 风险计算器与基于风险的筛查建议提高了高风险参与者的 RAS,并在 12 个月的随访期内提高了整体筛查率。此类工具可能有助于促进基于风险的筛查指南的采用。
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来源期刊
Public Health Genomics
Public Health Genomics 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.90
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: ''Public Health Genomics'' is the leading international journal focusing on the timely translation of genome-based knowledge and technologies into public health, health policies, and healthcare as a whole. This peer-reviewed journal is a bimonthly forum featuring original papers, reviews, short communications, and policy statements. It is supplemented by topic-specific issues providing a comprehensive, holistic and ''all-inclusive'' picture of the chosen subject. Multidisciplinary in scope, it combines theoretical and empirical work from a range of disciplines, notably public health, molecular and medical sciences, the humanities and social sciences. In so doing, it also takes into account rapid scientific advances from fields such as systems biology, microbiomics, epigenomics or information and communication technologies as well as the hight potential of ''big data'' for public health.
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