Portland Oregon VA Medical Center, Oregon Health and Sciences University, Portland, Oregon, USA.
BMJ Qual Saf. 2011 May;20(5):381-9. doi: 10.1136/bmjqs.2010.042689. Epub 2011 Jan 5.
Quality improvement (QI) initiatives characterised by iterative cycles of quantitative data analysis do not readily explain the organisational determinants of change. However, the integration of sociotechnical theory can inform more effective strategies. Our specific aims were to (1) describe a computerised decision support intervention intended to improve adherence with deep venous thrombosis (DVT) prophylaxis recommendations; and (2) show how sociotechnical theory expressed in 'Fit between Individuals, Task and Technology' framework (FITT) can identify and clarify the facilitators and barriers to QI work.
A multidisciplinary team developed and implemented electronic menus with DVT prophylaxis recommendations. Stakeholders were interviewed and human factors were analysed to optimise integration. Menu exposure, order placement and clinical performance were measured. Vista tool extraction and chart review were used. Performance compliance pre-implementation was 77%.
There were 80-110 eligible cases per month. Initial menu use rate was 20%. After barriers were classified and addressed using the FITT framework, use improved 50% to 90%. Tasks, users and technology issues in the FITT model and their interfaces were identified and addressed. Workflow styles, concerns about validity of guidelines, cycle times and perceived ambiguity of risk were issues identified.
DVT prophylaxis in a surgical setting is fraught with socio-political agendas, cognitive dissonance and misaligned expectations. These must be sought and articulated if organisations are to respond to internal resistance to change. This case study demonstrates that QI teams using information technology must understand the clinical context, even in mature electronic health record environments, in order to implement sustainable systems.
以定量数据分析为特征的质量改进(QI)计划并不能很好地解释变革的组织决定因素。然而,社会技术理论的整合可以提供更有效的策略。我们的具体目标是:(1)描述一种旨在提高深静脉血栓(DVT)预防建议依从性的计算机化决策支持干预措施;(2)展示社会技术理论如何通过“个体、任务和技术之间的适配性”框架(FITT)来识别和阐明 QI 工作的促进因素和障碍。
一个多学科团队开发并实施了具有 DVT 预防建议的电子菜单。对利益相关者进行了访谈,并对人为因素进行了分析,以优化整合。测量了菜单曝光率、订单放置和临床绩效。使用了 Vista 工具提取和图表审查。实施前的绩效合规率为 77%。
每月有 80-110 个符合条件的病例。初始菜单使用率为 20%。使用 FITT 框架对障碍进行分类和解决后,使用率提高了 50%至 90%。在 FITT 模型中识别并解决了任务、用户和技术问题及其接口。确定并解决了工作流程样式、对指南有效性的担忧、循环时间和风险感知的模糊性等问题。
外科环境中的 DVT 预防措施充满了社会政治议程、认知失调和期望不一致。如果组织要应对内部对变革的抵制,就必须寻找并阐明这些问题。本案例研究表明,使用信息技术的 QI 团队必须了解临床环境,即使在成熟的电子健康记录环境中,才能实施可持续的系统。