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Development and preliminary evaluation of the Conventional Medicine Disclosure Index
Research in Social and Administrative Pharmacy ( IF 3.348 ) Pub Date : 2021-01-31 , DOI: 10.1016/j.sapharm.2021.01.015
Erica McIntyre 1 , Hope Foley 2 , Joanna Harnett 3 , Jon Adams 2 , Amie Steel 2
Affiliation  

Background

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.

Objective

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.

Methods

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.

Results

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.

Conclusion

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.



中文翻译:

常规药物披露指数的制定与初步评估

背景

不向补充医学卫生专业人员披露常规药物的使用可能会导致患者受到伤害。目前,没有标准化的验证工具可用于衡量常规药物披露或不披露的原因。

客观的

本研究的目的是开发和评估一个多维指标,以确定患者公开和不公开传统药物的原因。

方法

利用补充和替代医学使用健康素养披露研究 (N = 520) 的子样本,使用形成性测量方法来制定传统医学披露指数 (CONMED-DI)。采用偏最小二乘法的基于方差的结构方程建模评估了形成性指标与其相关主要构造的多重共线性、显着性和相关性。

结果

CONMED-DI 证明了足够的结构效度,表明 CONMED-DI 是一种务实的措施,可以确定人们选择披露(或不披露)他们的常规药物使用的原因。CONMED-DI 包含 2 个二阶测量模型,均具有三个子域。

结论

CONMED-DI 作为一种初步工具,主要对有兴趣探索补充医学临床体验的研究人员有价值。通过了解患者公开和不公开的原因,优化患者对药物的安全使用,可以促进制定促进常规药物公开的有针对性的干预措施。

更新日期:2021-01-31
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