Jones Wallace, Drake Cynthia, Mack David, Reeder Blaine, Trautner Barbara, Wald Heidi
Heidi L Wald, MD, MSPH, Division of Health Care Policy Research, Box F 480, 13199 E. Montview Blvd, Suite 400, Aurora, CO 80045, Phone: 303-724-2446, E-mail:
Appl Clin Inform. 2017 Jun 20;8(2):632-650. doi: 10.4338/ACI-2016-12-RA-0209.
Unique characteristics of nursing homes (NHs) contribute to high rates of inappropriate antibiotic use for asymptomatic bacteriuria (ASB), a benign condition. A mobile clinical decision support system (CDSS) may support NH staff in differentiating urinary tract infections (UTI) from ASB and reducing antibiotic days.
We used Goal-Directed Design to: 1) Characterize information needs for UTI identification and management in NHs; 2) Develop UTI Decide, a mobile CDSS prototype informed by personas and scenarios of use constructed from Aim 1 findings; 3) Evaluate the UTI Decide prototype with NH staff.
Focus groups were conducted with providers and nurses in NHs in Denver, Colorado (n= 24). Qualitative descriptive analysis was applied to focus group transcripts to identify information needs and themes related to mobile clinical decision support for UTI identification and management. Personas representing typical end users were developed; typical clinical context scenarios were constructed using information needs as goals. Usability testing was performed using cognitive walk-throughs and a think-aloud protocol.
Four information needs were identified including guidance regarding resident assessment; communication with providers; care planning; and urine culture interpretation. Design of a web-based application incorporating a published decision support algorithm for evidence-based UTI diagnoses proceeded with a focus on nursing information needs during resident assessment and communication with providers. Certified nursing assistant (CNA) and registered nurse (RN) personas were constructed in 4 context scenarios with associated key path scenarios. After field testing, a high fidelity prototype of UTI Decide was completed and evaluated by potential end users. Design recommendations and content recommendations were elicited.
Goal-Directed Design informed the development of a mobile CDSS supporting participant-identified information needs for UTI assessment and communication in NHs. Future work will include iterative deployment and evaluation of UTI Decide in NHs to decrease inappropriate use of antibiotics for suspected UTI.
养老院(NHs)的独特特征导致无症状菌尿(ASB,一种良性病症)的抗生素使用不当率很高。移动临床决策支持系统(CDSS)可能会帮助养老院工作人员区分尿路感染(UTI)和无症状菌尿,并减少抗生素使用天数。
我们采用目标导向设计来:1)确定养老院中尿路感染识别和管理的信息需求;2)开发UTI Decide,这是一个基于人物角色和使用场景构建的移动CDSS原型,这些人物角色和使用场景由目标1的研究结果得出;3)与养老院工作人员一起评估UTI Decide原型。
在科罗拉多州丹佛市的养老院与医护人员进行了焦点小组访谈(n = 24)。对焦点小组访谈记录进行定性描述分析,以确定与尿路感染识别和管理的移动临床决策支持相关的信息需求和主题。开发了代表典型最终用户的人物角色;使用信息需求作为目标构建了典型临床情境场景。使用认知走查和出声思维协议进行可用性测试。
确定了四个信息需求,包括关于居民评估的指导;与医护人员的沟通;护理计划;以及尿培养结果解读。设计了一个基于网络的应用程序,纳入了已发表的基于证据的尿路感染诊断决策支持算法,设计过程中重点关注居民评估和与医护人员沟通期间的护理信息需求。在4种情境场景中构建了认证护理助理(CNA)和注册护士(RN)的人物角色以及相关的关键路径场景。经过现场测试,完成了UTI Decide的高保真原型,并由潜在最终用户进行了评估。得出了设计建议和内容建议。
目标导向设计为开发移动CDSS提供了依据,该系统支持养老院中参与者确定的尿路感染评估和沟通的信息需求。未来的工作将包括在养老院中对UTI Decide进行迭代部署和评估,以减少疑似尿路感染时抗生素的不当使用。