模糊界限:对可接受性、适当性和可行性之间相互关系的实证研究。

Zoe Fehlberg, Zornitza Stark, Marlena Klaic, Stephanie Best
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引用次数: 0

摘要

背景:可接受性、适当性和可行性是确定的实施结果,用于理解利益相关者对干预的看法。此外,它们被认为提供了对行为的洞察,比如收养。迄今为止,这三种结果的测量工具都集中在他们的个人评估,同时点头表示他们可能相互关联的想法。尽管有这种认识,很少有经验证据表明这些构念之间的联系。以遗传健康专家为患者提供额外的基因组结果为例,本研究旨在检验可接受性、适当性和可行性之间的相互关系。方法:采用顺序解释混合方法。所有参与大型研究项目的遗传咨询师和临床遗传学家被邀请使用现有的可接受性、适当性和可行性措施完成前后调查。根据调查结果进行的后续访谈探讨了临床医生对这三种结果的看法,这些结果与向患者提供额外的基因组结果有关。为了对相互关系进行分类并产生反馈循环,调查数据使用描述性和相关性统计进行分析,并与使用内容分析分析的访谈数据一起进行解释。结果:各结果(n = 53前和n = 40后)的调查结果中点均值相似,范围宽,实施后变化不大(可接受性:M = 3.55前,范围2-5,M = 3.56后,范围1.5-5;适当性:前M = 3.35,范围1-5,后M = 3.48,范围1-5;可行性:前期M = 3.30,后期M = 3.32;范围1.25 - 5)。结果之间的相关强度为0.54 ~ 0.78。从访谈数据分析(n = 14)中分类出五种相互关系,并解释了临床医生对干预(积极或消极)的看法是如何由可接受性、适当性和可行性等相互关联因素决定的,以及在不同的情况下,结果之间的功能和重要性的重点是如何转换的。结论:我们的研究提倡考虑可接受性、适当性和可行性之间的相互关系,而不是单独存在,以更好地表征临床医生对复杂卫生保健干预措施的看法,并有助于制定具有现实世界影响的实施策略。此外,为了减少研究浪费,需要更多的研究来确定这些结果是否可以相互替代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blurring the lines: an empirical examination of the interrelationships among acceptability, appropriateness, and feasibility.

Background: Acceptability, appropriateness, and feasibility are established implementation outcomes used to understand stakeholders' perceptions of an intervention. Further, they are thought to provide insight into behaviors, such as adoption. To date, measurement instruments for the three outcomes have focused on their individual assessment whilst nodding to the idea that they may interrelate. Despite this acknowledgment, there is little empirical evidence of the association among these constructs. Using the example of genetic health professionals providing additional genomic results to patients, this study aimed to examine the interrelationships among acceptability, appropriateness, and feasibility.

Methods: A sequential explanatory mixed methods approach was employed. All genetic counsellors and clinical geneticists involved in a large research program were invited to complete pre/post surveys using existing measures of acceptability, appropriateness, and feasibility. Follow-up interviews, informed by the survey results, explored clinicians' perspectives of the three outcomes in relation to providing additional genomic results to patients. To categorize interrelationships and generate feedback loops, survey data were analyzed using descriptive and correlation statistics and interpreted alongside interview data analyzed using content analysis.

Results: The survey results (pre n = 53 and post n = 40) for each outcome showed a similar midpoint mean, wide ranges, and little change post implementation (Acceptability: pre M = 3.55, range 2-5 post M = 3.56, range 1.5-5; Appropriateness: pre M = 3.35, range 1-5, post M = 3.48, range 1-5; Feasibility: pre M = 3.30, post M = 3.32; range 1.25-5). The strength of correlation among outcomes ranged from 0.54 to 0.78. Five interrelationships were categorized from analysis of interview data (n = 14) and explain how clinicians' perceptions of the intervention, positive or negative, were determined by interrelating factors of acceptability, appropriateness, and feasibility and that in different scenarios, the function and emphasis of importance among outcomes switched.

Conclusions: Rather than existing separately, our study promotes the need to consider interrelationships among acceptability, appropriateness, and feasibility to better characterize clinicians' perceptions of complex health care interventions and aid in the development of implementation strategies that have real world impact. Further, in the interest of reducing research waste, more research is needed to determine if the outcomes could serve as proxies for each other.

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