评估复杂心理社会干预措施的可用性：干预可用性量表
Assessing the Usability of Complex Psychosocial Interventions: The Intervention Usability Scale.
作者信息
Lyon Aaron R, Pullmann Michael D, Jacobson Jedediah, Osterhage Katie, Achkar Morhaf Al, Renn Brenna N, Munson Sean A, Areán Patricia A
机构信息
University of Washington, 6200 NE 74 Street, Suite 100, Seattle, WA, 98115.
出版信息
Implement Res Pract. 2021 Jan-Dec;2. doi: 10.1177/2633489520987828. Epub 2021 Feb 8.
BACKGROUND
Usability - the extent to which an intervention can be used by specified users to achieve specified goals with effectiveness, efficiency, and satisfaction - may be a key determinant of implementation success. However, few instruments have been developed to measure the design quality of complex health interventions (i.e., those with several interacting components). This study evaluated the structural validity of the Intervention Usability Scale (IUS), an adapted version of the well-established System Usability Scale (SUS) for digital technologies, to measure the usability of a leading complex psychosocial intervention, Motivational Interviewing (MI), for behavioral health service delivery in primary care. Prior SUS studies have found both one- and two-factor solutions, both of which were examined in the current study of the IUS.
METHOD
A survey administered to 136 medical professionals from 11 primary care sites collected demographic information and IUS ratings for MI, the evidence-based psychosocial intervention that primary care providers reported using most often for behavioral health service delivery. Factor analyses replicated procedures used in prior research on the SUS.
RESULTS
Analyses indicated that a two-factor solution (with "usable" and "learnable" subscales) best fit the data, accounting for 54.1% of the variance. Inter-item reliabilities for the total score, usable subscale, and learnable subscale were α = .83, α = .84, and α = .67, respectively.
CONCLUSIONS
This study provides evidence for a two-factor IUS structure consistent with some prior research, as well as acceptable reliability. Implications for implementation research evaluating the usability of complex health interventions are discussed, including the potential for future comparisons across multiple interventions and provider types, as well as the use of the IUS to evaluate the relationship between usability and implementation outcomes such as feasibility.
背景
可用性——特定用户能够使用某种干预措施以有效、高效且满意的方式实现特定目标的程度——可能是实施成功的关键决定因素。然而，用于衡量复杂健康干预措施（即具有多个相互作用组件的干预措施）设计质量的工具很少。本研究评估了干预可用性量表（IUS）的结构效度，它是针对数字技术的成熟系统可用性量表（SUS）的改编版本，用于衡量一种领先的复杂心理社会干预措施——动机性访谈（MI）在初级保健行为健康服务提供中的可用性。先前的SUS研究发现了单因素和双因素解决方案，本研究对IUS的考察同时涉及了这两种方案。
方法
对来自11个初级保健机构的136名医学专业人员进行了一项调查，收集了人口统计学信息以及他们对MI的IUS评分，MI是初级保健提供者报告在行为健康服务提供中最常使用的循证心理社会干预措施。因子分析重复了先前SUS研究中使用的程序。
结果
分析表明，双因素解决方案（包括“可用”和“可学习”子量表）最适合数据，解释了54.1%的方差。总分、可用子量表和可学习子量表的项目间信度分别为α = 0.83、α = 0.84和α = 0.67。
结论
本研究为与一些先前研究一致的双因素IUS结构提供了证据，以及可接受的信度。讨论了对评估复杂健康干预措施可用性的实施研究的启示，包括未来跨多种干预措施和提供者类型进行比较的可能性，以及使用IUS评估可用性与可行性等实施结果之间关系。
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