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一种基于行为的实用习惯指数,用于评估成年囊性纤维化患者对雾化治疗的依从性。

A pragmatic behavior-based habit index for adherence to nebulized treatments among adults with cystic fibrosis.

作者信息

Hoo Zhe Hui, Wildman Martin J, Campbell Michael J, Walters Stephen J, Gardner Benjamin

机构信息

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK,

Sheffield Adult Cystic Fibrosis Centre, Northern General Hospital, Sheffield, UK,

出版信息

Patient Prefer Adherence. 2019 Feb 13;13:283-294. doi: 10.2147/PPA.S186417. eCollection 2019.

Abstract

BACKGROUND

Habit, a psychological process that automatically generates urges to perform a behavior in associated settings, is potentially an important determinant of medication adherence. Habit is challenging to measure because, as a psychological construct, it cannot be directly observed. We describe a method of using routinely available objective adherence data from electronic data capture (EDC) to generate a behavior-based index of adherence habit and demonstrate how this index can be applied.

METHODS TO GENERATE THE HABIT INDEX

Our proposed habit index is a "frequency in context" measure. It estimates habit as a multiplicative product of behavior frequency (generated from weekly percentage adherence) and context stability (inferred from time of nebulizer use). Although different timescales can be used, we chose to generate weekly habit scores since we believe that this is the most granular level at which context stability can be reasonably calculated.

AN APPLICATION OF THE HABIT INDEX

A hallmark of habit is to predict future behavior, hence we used time series method to cross-correlate the habit index with nebulizer adherence in the subsequent week among 123 adults with cystic fibrosis (52, 42.3% female; median age 25 years) over a median duration of 153 weeks (IQR 74-198 weeks). The mean cross-correlation coefficient () between the habit index and subsequent adherence was 0.40 (95% CI 0.36-0.44). Adjusting for current adherence, the unstandardized regression coefficient () for the habit index was 0.30 (95% CI -1.04 to 1.65).

CONCLUSION

We have described a pragmatic method to infer "habit" from adherence data routinely captured with EDC and provided proof-of-principle evidence regarding the feasibility of this concept. The continuous stream of data from EDC allows the habit index to unobtrusively assess "habit" at various time points over prolonged periods, and hence the habit index may be applicable in habit formation studies.

摘要

背景

习惯是一种心理过程,在相关情境中会自动产生执行某种行为的冲动,它可能是药物依从性的一个重要决定因素。习惯难以测量,因为作为一种心理结构,它无法直接观察到。我们描述了一种利用电子数据采集(EDC)中常规可得的客观依从性数据来生成基于行为的依从性习惯指数的方法,并展示该指数的应用方式。

生成习惯指数的方法

我们提出的习惯指数是一种“情境频率”度量。它将习惯估计为行为频率(由每周依从百分比生成)和情境稳定性(从雾化器使用时间推断得出)的乘积。虽然可以使用不同的时间尺度,但我们选择生成每周习惯得分,因为我们认为这是能够合理计算情境稳定性的最精细级别。

习惯指数的应用

习惯的一个标志是能够预测未来行为,因此我们使用时间序列方法,对123名成年囊性纤维化患者(52名,42.3%为女性;中位年龄25岁)在中位时长153周(四分位间距74 - 198周)内的习惯指数与下一周的雾化器依从性进行交叉相关分析。习惯指数与后续依从性之间的平均交叉相关系数()为0.40(95%置信区间0.36 - 0.44)。在调整当前依从性后,习惯指数的非标准化回归系数()为0.30(95%置信区间 - 1.04至1.65)。

结论

我们描述了一种从EDC常规采集的依从性数据中推断“习惯”的实用方法,并提供了关于这一概念可行性的原理验证证据。来自EDC的连续数据流使习惯指数能够在较长时间内的不同时间点不引人注意地评估“习惯”,因此习惯指数可能适用于习惯形成研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f248/6388736/86a40e73e988/ppa-13-283Fig1.jpg

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