Measuring adherence to antipsychotic medications for schizophrenia: Concordance and validity among a community sample in rural China.
Measuring adherence to antipsychotic medications for schizophrenia: Concordance and validity among a community sample in rural China.
复制标题
衡量精神分裂症抗精神病药物的依从性:中国农村社区样本的一致性和有效性。
DOI:
10.1016/j.schres.2018.05.014
复制
发表时间:
2018
影响因子:
4.5
通讯作者:
He,Hua
中科院分区:
文献类型:
--
作者:
Xu,DongRoman;Gong,Wenjie;Gloyd,Steve;Caine,EricD;Simoni,Jane;Hughes,JamesP;Xiao,Shuiyuan;He,Wenjun;Dai,Bofeng;Lin,Meijuan;Nie,Juan;He,Hua
BackgroundDespite the abundance of measures to assess medication adherence by persons suffering schizophrenia, few studies have evaluated their concordance and validity against a reference standard in resource-poor community settings. We explored the concordance and validity of several measures to assess antipsychotic medication adherence in a resource-poor community.MethodBased on a random sample of 278 villagers diagnosed with schizophrenia from Liuyang, Hunan Province, China, we used a concordance correlation coefficient (rc) and Kappa statistic to assess agreement among pill counts, refill records, clinician rating, Drug Attitude Inventory (DAI), and the Brief Adherence Rating Scale (BARS). The validity of various measures was evaluated by their concordance and sensitivity/specificity to home-based unannounced pill count (UPC) as the reference standard.ResultsThe estimated proportion of adherent patients according to all measures (41% ~ 88%) was substantially higher than identified by UPC (35%). Concordance between any two measures was poor (rc/Kappa mostly <0.30). Validity of various measures also was poor against the UPC (rc< 0.20; Kappa <0.16), although refill records and the structured instruments (BARS) performed better than office-based pill counts and clinician impression. BARS, DAI and clinician rating were not sensitive to changes in adherence and would likely underestimate any program effect.ConclusionIn resource-poor community settings, most measures assessed in this study should not be used alone as they overestimated adherence, underestimated program effect, and had poor validity. A combination of UPC and several other measures may provide more insight into clinical trials and programmatic management.