Downie Aron Simon, Hancock Mark, Abdel Shaheed Christina, McLachlan Andrew J, Kocaballi Ahmet Baki, Williams Christopher M, Michaleff Zoe A, Maher Chris G
Institute for Musculoskeletal Health, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.
Faculty of Science and Engineering, Macquarie University, Macquarie Park, Australia.
JMIR Med Inform. 2020 May 11;8(5):e17203. doi: 10.2196/17203.
People with low back pain (LBP) in the community often do not receive evidence-based advice and management. Community pharmacists can play an important role in supporting people with LBP as pharmacists are easily accessible to provide first-line care. However, previous research suggests that pharmacists may not consistently deliver advice that is concordant with guideline recommendations and may demonstrate difficulty determining which patients require prompt medical review. A clinical decision support system (CDSS) may enhance first-line care of LBP, but none exists to support the community pharmacist-client consultation.
This study aimed to develop a CDSS to guide first-line care of LBP in the community pharmacy setting and to evaluate the pharmacist-reported usability and acceptance of the prototype system.
A cross-platform Web app for the Apple iPad was developed in conjunction with academic and clinical experts using an iterative user-centered design process during interface design, clinical reasoning, program development, and evaluation. The CDSS was evaluated via one-to-one user-testing with 5 community pharmacists (5 case vignettes each). Data were collected via video recording, screen capture, survey instrument (system usability scale), and direct observation.
Pharmacists' agreement with CDSS-generated self-care recommendations was 90% (18/20), with medicines recommendations was 100% (25/25), and with referral advice was 88% (22/25; total 70 recommendations). Pharmacists expressed uncertainty when screening for serious pathology in 40% (10/25) of cases. Pharmacists requested more direction from the CDSS in relation to automated prompts for user input and page navigation. Overall system usability was rated as excellent (mean score 92/100, SD 6.5; 90th percentile compared with similar systems), with acceptance rated as good to excellent.
A novel CDSS (high-fidelity prototype) to enhance pharmacist care of LBP was developed, underpinned by clinical practice guidelines and informed by a multidisciplinary team of experts. User-testing revealed a high level of usability and acceptance of the prototype system, with suggestions to improve interface prompts and information delivery. The small study sample limits the generalizability of the findings but offers important insights to inform the next stage of system development.
社区中患有腰痛(LBP)的人往往得不到基于证据的建议和管理。社区药剂师在为腰痛患者提供支持方面可以发挥重要作用,因为药剂师很容易获得,能够提供一线护理。然而,先前的研究表明,药剂师可能无法始终提供与指南建议一致的建议,并且在确定哪些患者需要及时就医方面可能存在困难。临床决策支持系统(CDSS)可能会加强对腰痛的一线护理,但目前尚无支持社区药剂师与患者咨询的此类系统。
本研究旨在开发一个CDSS,以指导社区药房环境中腰痛的一线护理,并评估药剂师报告的原型系统的可用性和可接受性。
在界面设计、临床推理、程序开发和评估过程中,采用以用户为中心的迭代设计过程,与学术和临床专家联合开发了一款适用于苹果iPad的跨平台网络应用程序。通过与5名社区药剂师进行一对一的用户测试(每人5个病例 vignette)对CDSS进行评估。通过视频录制、屏幕截图、调查问卷(系统可用性量表)和直接观察收集数据。
药剂师对CDSS生成的自我护理建议的认同率为90%(18/20),对药物建议的认同率为100%(25/25),对转诊建议的认同率为88%(22/25;共70条建议)。在40%(10/25)的病例中,药剂师在筛查严重病变时表示不确定。药剂师要求CDSS在用户输入和页面导航的自动提示方面提供更多指导。总体系统可用性被评为优秀(平均得分92/100,标准差6.5;与类似系统相比处于第90百分位),可接受性被评为良好至优秀。
在临床实践指南的支持下,由多学科专家团队提供信息,开发了一种新型CDSS(高保真原型),以加强药剂师对腰痛的护理。用户测试显示原型系统具有较高的可用性和可接受性,并提出了改进界面提示和信息传递的建议。小样本研究限制了研究结果的普遍性,但为系统开发的下一阶段提供了重要见解。