Kalichman Seth C, Amaral Christina M, Swetzes Connie, Jones Michelle, Macy Rene, Kalichman Moira O, Cherry Chauncey
Department of Psychology, University of Connecticut, Storrs, Connecticut 06269, USA.
J Int Assoc Physicians AIDS Care (Chic). 2009 Nov-Dec;8(6):367-74. doi: 10.1177/1545109709352884.
Self-report measures of medication adherence are inexpensive and minimally intrusive. However, the validity of self-reported adherence is compromised by recall errors for missed doses and socially desirable responding.
Examined the convergent validity of 2 self-report adherence measures administered by computerized interview: (a) recall of missed doses and (b) a single-item visual analogue rating scale (VAS). Adherence was also monitored using unannounced phone-based pill counts that served as an objective benchmark.
The VAS obtained adherence estimates that paralleled unannounced pill counts (UPCs). In contrast, self-reported recall (SR-recall) of missed medications consistently overestimated adherence. Correlations with participant characteristics also suggested that the computer-administered VAS was less influenced by response biases than SR-recall of missed medication doses.
A single-item VAS offers an inexpensive and valid method of assessing medication adherence that may be useful in clinical as well as research settings.
药物依从性的自我报告测量方法成本低廉且干扰性极小。然而,自我报告的依从性有效性会因漏服剂量的回忆误差和社会期望性反应而受到影响。
通过计算机化访谈研究了两种自我报告依从性测量方法的收敛效度:(a)漏服剂量的回忆和(b)单项视觉模拟评分量表(VAS)。还使用不预先通知的电话服药计数作为客观基准来监测依从性。
VAS获得的依从性估计与不预先通知的服药计数(UPC)相似。相比之下,自我报告的漏服药物回忆(SR-回忆)始终高估了依从性。与参与者特征的相关性还表明,计算机管理的VAS比漏服药物剂量的SR-回忆受反应偏差的影响更小。
单项VAS提供了一种评估药物依从性的廉价且有效的方法,在临床和研究环境中可能都有用。