Inauen Jennifer, Bierbauer Walter, Lüscher Janina, König Claudia, Tobias Robert, Ihle Andreas, Zimmerli Lukas, Holzer Barbara M, Battegay Edouard, Siebenhüner Klarissa, Kliegel Matthias, Scholz Urte
a Department of Psychology , Columbia University , New York , NY , USA.
b Department of Psychology , University of Zurich , Zurich , Switzerland.
Psychol Health. 2017 Oct;32(10):1233-1248. doi: 10.1080/08870446.2016.1275632. Epub 2017 Jan 2.
Chronic conditions often require multiple medication intake. However, past research has focused on assessing overall adherence or adherence to a single index medication only. This study explored adherence measures for multiple medication intake, and in daily life, among patients with multiple chronic conditions (i.e. multimorbidity).
Eighty-four patients with multimorbidity and multiple-medication regimens completed three monthly panel questionnaires. A randomly assigned subsample additionally completed a 30-day daily diary.
The Non-Adherence Report; a brief self-report measure of adherence to each prescribed medication (NAR-M), and in daily life. We further assessed the Medication Adherence Report Scale (MARS), and a subsample of participants were randomised to electronic adherence monitoring.
The NAR-M indicated M = 94.7% adherence at Time 1 (SD = 9.3%). The NAR-M was significantly correlated with the MARS (r = .52, r = .57, and r = .65; p < .001), and in tendency with electronically assessed adherence (r = .45, r = .46, p < .10). Variance components analysis indicated that between-person differences accounted for 10.2% of the variance in NAR-M adherence rates, whereas 22.9% were attributable to medication by person interactions.
This study highlights the importance and feasibility of studying adherence to multiple medications differentially, and in daily life. Future studies may use these measures to investigate within-person and between-medication differences in adherence.
慢性病通常需要多种药物联合服用。然而,以往的研究仅侧重于评估总体依从性或对单一指标药物的依从性。本研究探讨了多种慢性病(即共病)患者在日常生活中多种药物联合服用的依从性测量方法。
84例患有多种慢性病且采用多种药物治疗方案的患者完成了三个月的问卷调查。一个随机分配的子样本还完成了一份为期30天的每日日记。
非依从性报告;一种用于衡量对每种处方药的依从性(NAR-M)以及日常生活中的依从性的简短自我报告测量方法。我们进一步评估了药物依从性报告量表(MARS),并将部分参与者随机分组进行电子依从性监测。
NAR-M显示在时间1时的依从性为M = 94.7%(标准差 = 9.3%)。NAR-M与MARS显著相关(r = 0.52、r = 0.57和r = 0.65;p < 0.001),并且与电子评估的依从性呈趋势相关(r = 0.45、r = 0.46,p < 0.10)。方差成分分析表明,个体间差异占NAR-M依从率方差的10.2%,而22.9%归因于药物与人的交互作用。
本研究强调了在日常生活中分别研究多种药物依从性的重要性和可行性。未来的研究可以使用这些测量方法来调查个体内部和药物之间的依从性差异。