Sperber Christian M, Samarasinghe Suren R, Lomax Grace P
Patient Connect Limited, Guildford, UK.
Patient Prefer Adherence. 2017 Aug 30;11:1469-1478. doi: 10.2147/PPA.S136890. eCollection 2017.
The Medication Possession Ratio (MPR) is a ubiquitous and central measurement for adherence in the health care industry. However, attempts to standardize its calculation have failed, possibly due to the opacity of a single, static MPR, incapability of directly lending itself to a variety of studies, and challenges of comparing the value across studies. This work shows that the MPR strictly depends on the length of the time interval over which it is measured as well as on the dominant dispense quantity for short time intervals. Furthermore, removing a proportion of the patient cohort based on the number of acquisitions may also have a severe impact on the MPR. Therefore, it is suggested that the MPR is represented as a trend over a range of time intervals. To this end, an upper and lower bound of the MPR trend is developed with an upper bound acknowledging patients who change their treatment and the lower bound acknowledging patients who discontinue their treatment.
Introducing a representation of the MPR value as a trend rather than a static number by developing a quantitative description of an upper and lower bound of the MPR trend, while shedding light on the impacts on prefiltering the patient cohort.
Anonymized patient-level data was utilized as an example for a suggested calculation of an upper and lower bound of the MPR.
Representation of the MPR for a predefined time interval precludes a reliable MPR assessment. A quantitative approach is suggested to generate an upper and lower trend of the MPR while emphasizing the impact on removing patients with a limited number of acquisitions.
An upper and lower trend makes the MPR more transparent and allows a better comparison across different studies. Removing patients with a limited number of acquisitions should be avoided.
药物持有率(MPR)是医疗行业中用于衡量依从性的一种普遍且核心的指标。然而,标准化其计算的尝试却失败了,这可能是由于单一静态MPR的不透明性、无法直接适用于各种研究以及跨研究比较该值时面临的挑战。这项工作表明,MPR严格取决于其测量的时间间隔长度以及短时间间隔内的主要配药数量。此外,基于购药数量剔除一部分患者队列也可能对MPR产生严重影响。因此,建议将MPR表示为一系列时间间隔内的趋势。为此,开发了MPR趋势的上限和下限,上限认可改变治疗的患者,下限认可停止治疗的患者。
通过对MPR趋势的上限和下限进行定量描述,引入将MPR值表示为趋势而非静态数字的方法,同时阐明对患者队列进行预筛选的影响。
使用匿名的患者层面数据作为示例,展示MPR上限和下限的建议计算方法。
在预定义的时间间隔内表示MPR无法进行可靠的MPR评估。建议采用定量方法来生成MPR的上下趋势,同时强调剔除购药数量有限的患者所产生的影响。
MPR的上下趋势使其更具透明度,并能在不同研究之间进行更好的比较。应避免剔除购药数量有限的患者。