Department of Internal Medicine, Zucker School of Medicine at Hofstra/Northwell Institute, Hempstead, NY, USA.
Department of Medical Education, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Hemoglobin. 2022 Jul;46(4):201-213. doi: 10.1080/03630269.2022.2072320. Epub 2022 Aug 5.
Iron chelation therapy (ICT) is essential to prevent complications of iron overload in patients with transfusion-dependent thalassemia. However, the role that adherence to ICT plays in health-related outcomes is less well known. Our objectives were to identify adherence rates of ICT, and to assess methods of measurement, predictors of adherence, and adherence-related health outcomes in the literature published between 1980 and 2020. Of 543 articles, 43 met the inclusion criteria. Studies measured ICT adherence, predictors, and/or outcomes associated with adherence. Most studies were across multiple countries in Europe and North America ( = 8/43, 18.6%), recruited in clinics ( = 39/43, 90.7%), and focused on β-thalassemia (β-thal) ( = 25/43, 58.1%). Common methods of assessing ICT adherence included patient self-report ( = 24/43, 55.8%), pill count ( = 9/43, 20.9%), prescription refill history ( = 3/43, 7.0%), provider scoring ( = 3/43, 7.0%), and combinations of methods ( = 4/43, 9.3%). Studies reported adherence either in 'categories' with different levels of adherence ( = 24) or 'quantitatively' as a percentage of doses of medication taken out of those prescribed ( = 17). Adherence levels varied (median 91.7%, range 42.0-99.97%). Studies varied in sample size and methods of adherence assessment and reporting, which prohibited meta-analysis. Due to a lack of consensus on how adherence is defined, it is difficult to compare ICT adherence reporting. Further research is needed to establish guidelines for assessing adherence and identifying suboptimal adherence. Behavioral digital interventions have the potential to optimize ICT adherence and health outcomes.
铁螯合疗法(ICT)对于预防依赖输血的地中海贫血患者铁过载的并发症至关重要。然而,依从 ICT 治疗在健康相关结局中的作用知之甚少。我们的目标是确定 ICT 依从率,并在 1980 年至 2020 年期间发表的文献中评估测量方法、依从性的预测因素以及与依从性相关的健康结局。在 543 篇文章中,有 43 篇符合纳入标准。这些研究测量了 ICT 依从性、预测因素和/或与依从性相关的结果。大多数研究在欧洲和北美多个国家进行( = 8/43,18.6%),在诊所招募( = 39/43,90.7%),并集中于β-地中海贫血(β-thal)( = 25/43,58.1%)。评估 ICT 依从性的常用方法包括患者自我报告( = 24/43,55.8%)、药丸计数( = 9/43,20.9%)、处方续配记录( = 3/43,7.0%)、提供者评分( = 3/43,7.0%)和多种方法的组合( = 4/43,9.3%)。研究报告的依从性要么是“分类”( = 24),要么是“定量”( = 17),即按照规定的剂量计算出的服药剂量百分比。依从水平差异很大(中位数 91.7%,范围 42.0-99.97%)。研究在样本量和依从性评估和报告方法上存在差异,这使得无法进行荟萃分析。由于缺乏关于如何定义依从性的共识,因此难以比较 ICT 依从性报告。需要进一步研究以确定评估依从性和确定非最佳依从性的指南。行为数字干预有可能优化 ICT 依从性和健康结局。