Ekenberg Marie, Landin Fanny, Wettermark Björn
Department of Pharmacy, Uppsala University, Uppsala, Sweden.
Patient Prefer Adherence. 2024 Nov 13;18:2281-2293. doi: 10.2147/PPA.S481152. eCollection 2024.
Poor medication adherence is a well-recognized problem, and behavior change techniques (BCTs) have shown promise in improving patient adherence to prescribed drug treatment. Through the utilization of medication adherence technologies (MATech), these BCT interventions could be delivered effectively in a person-centered way. MATech can be defined as systems, services or physical devices (hardware), with a digital component, used to support patients in their drug utilization. However, there is a lack of knowledge regarding their availability and to what extent they apply evidence-based BCTs.
This study aimed to identify and describe MATech with BCT interventions available in the Swedish language.
A cross-sectional survey study was conducted in 2023. After identifying potential MATech developers by contacting umbrella organizations in the private sector, public agencies and regions, and conducting an app search, a survey was distributed to 381 potential MATech developers. Included MATech were in Swedish, used by patients, incorporated a BCT intervention, and had survey response from the developer. The survey was based on the BCT taxonomy and the framework of attributes from the COST ENABLE project, and included questions regarding BCT features. Following correspondence with 189 potential developers, 32 with products of interest responded to the survey, and 21 MATech were identified (12 standalone software and nine hardware solutions).
Among the 21 MATech identified, nine were hardware and ten were specifically designed for a particular disease or medication. The majority of technologies incorporated BCTs of reminding the patient to take the medication (81%), information about the treatment (71%) and providing feedback on the monitoring of medication adherence or clinical outcomes (76%).
Swedish-language MATech employing BCTs are available, encompassing both hardware and software solutions. There is a need to enhance the visibility of these technologies, enabling patients to discover and utilize the support they provide.
药物治疗依从性差是一个公认的问题，行为改变技术（BCTs）已显示出改善患者对规定药物治疗依从性的前景。通过利用药物治疗依从性技术（MATech），这些BCT干预措施可以以以人为本的方式有效实施。MATech可定义为具有数字组件的系统、服务或物理设备（硬件），用于支持患者用药。然而，对于它们的可用性以及在多大程度上应用基于证据的BCTs，人们缺乏了解。
本研究旨在识别和描述采用BCT干预措施的瑞典语MATech。
2023年进行了一项横断面调查研究。通过联系私营部门的伞式组织、公共机构和地区识别潜在的MATech开发者并进行应用程序搜索后，向381名潜在的MATech开发者发放了调查问卷。纳入的MATech需为瑞典语、供患者使用、包含BCT干预措施且有开发者的调查回复。该调查基于BCT分类法和COST ENABLE项目的属性框架，包括有关BCT特征的问题。与189名潜在开发者通信后，32名对感兴趣产品的开发者回复了调查，共识别出21种MATech（12种独立软件和9种硬件解决方案）。
在识别出的21种MATech中，9种是硬件，10种是专门针对特定疾病或药物设计的。大多数技术纳入了提醒患者服药（81%）、治疗信息（71%）以及提供药物治疗依从性监测或临床结果反馈（76%）的BCTs。
采用BCTs的瑞典语MATech是可用的，包括硬件和软件解决方案。有必要提高这些技术的可见性，使患者能够发现并利用它们提供的支持。
