School of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, Australia; Institute for Sustainable Futures, University of Technology Sydney, Ultimo, Australia.
School of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, Australia.
Res Social Adm Pharm. 2021 Oct;17(10):1791-1799. doi: 10.1016/j.sapharm.2021.01.015. Epub 2021 Jan 31.
Non-disclosure of conventional medicine use to complementary medicine health professionals may result in patient harm. Currently, no standardised validated instrument is available to measure reasons for conventional medicine disclosure or non-disclosure.
The aim of this study was to develop and evaluate a multidimensional index for identifying reasons for conventional medicine disclosure and non-disclosure by patients.
Drawing upon a sub-sample of the Complementary and Alternative Medicine Use Health Literacy Disclosure Study (N = 520), a formative measurement approach was used to develop a Conventional Medicine Disclosure Index (CONMED-DI). Variance-based structural equation modelling employing partial least squares evaluated multicollinearity, significance and relevance of the formative indicators to their associated primary constructs.
The CONMED-DI demonstrated adequate construct validity suggesting the CONMED-DI is a pragmatic measure to determine the reasons why people choose to disclose (or not) their conventional medicine use. The CONMED-DI contains 2 second-order measurement models, both with three sub-domains.
The CONMED-DI serves as a preliminary instrument primarily of value to researchers interested in exploring the complementary medicine clinical encounter. The development of targeted interventions that promote disclosure of conventional medicine can be facilitated through understanding patients' reasons for disclosure and non-disclosure and optimise patients' safe use of medicines.
向补充医学健康专业人员隐瞒常规医学的使用情况可能会对患者造成伤害。目前,没有可用于衡量常规医学披露或不披露原因的标准化验证工具。
本研究旨在开发和评估一种多维指数,以确定患者披露和不披露常规医学的原因。
在补充和替代医学使用健康素养披露研究(N=520)的子样本基础上,采用形成性测量方法开发了常规医学披露指数(CONMED-DI)。基于偏最小二乘法的方差结构方程模型评估了形成性指标对其相关主要结构的多重共线性、显著性和相关性。
CONMED-DI 显示出良好的结构有效性,表明 CONMED-DI 是一种实用的衡量标准,用于确定人们选择披露(或不披露)其常规医学使用的原因。CONMED-DI 包含 2 个二阶测量模型,每个模型都有三个子领域。
CONMED-DI 是一种初步的工具,主要对有兴趣探索补充医学临床接触的研究人员有价值。通过了解患者披露和不披露常规医学的原因,可以促进促进常规医学披露的针对性干预措施的制定,并优化患者对药物的安全使用。