Suppan Mélanie, Beckmann Tal Sarah, Gercekci Cenan, Sigrist Thérèse, Savoldelli Georges Louis, Fournier Roxane, Samer Caroline Flora
Division of Anesthesiology, Department of Anesthesiology, Clinical Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals and Faculty of Medicine, 1211 Geneva, Switzerland.
Division of Clinical Pharmacology and Toxicology, Department of Anesthesiology, Clinical Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals and Faculty of Medicine, 1211 Geneva, Switzerland.
Healthcare (Basel). 2021 Jun 25;9(7):799. doi: 10.3390/healthcare9070799.
Local anesthetics systemic toxicity can lead to life-threatening situations. Correct calculation of the maximum safe dose is therefore paramount in preventing such complications. Different solutions have already emerged to support anesthesiologists but are seldom used in clinical practice as they require either access to a computer or specific documents to be at hand. A mobile app could provide an easy and practical solution; however, the few apps already created for this purpose often lack key elements, allowing invalid data to be entered and suggesting doses that might exceed the maximum safe dose. We describe the development of LoAD Calc, a mobile health (mHealth) app developed using a modified version of the Information Systems Research framework, which adds design thinking modes to the original framework. The app was enhanced through multiple iterations and developed with the aid of contextual observations and interviews, brainswarming sessions, prototyping, and continuous feedback. The design process led to the creation of two prototypes which underwent thorough testing by a sample of eight anesthesiologists. The final version of the app, LoAD Calc, was deployed on Apple and Android mobile test platforms and tested again by the same sample until deemed fit for release.
局部麻醉药全身毒性可导致危及生命的情况。因此,正确计算最大安全剂量对于预防此类并发症至关重要。已经出现了不同的解决方案来支持麻醉医生,但在临床实践中很少使用,因为它们要么需要使用计算机,要么需要手头有特定文件。移动应用程序可以提供一个简单实用的解决方案;然而,为此目的已经创建的少数应用程序往往缺少关键要素,允许输入无效数据并建议可能超过最大安全剂量的剂量。我们描述了LoAD Calc的开发过程,这是一款移动健康(mHealth)应用程序,它使用信息系统研究框架的修改版本开发,该框架在原始框架中增加了设计思维模式。该应用程序通过多次迭代得到增强,并借助情境观察和访谈、头脑风暴会议、原型制作和持续反馈进行开发。设计过程导致创建了两个原型,由八名麻醉医生组成的样本对其进行了全面测试。该应用程序的最终版本LoAD Calc部署在苹果和安卓移动测试平台上,并由同一样本再次进行测试,直到被认为适合发布。