School of Health Policy and Management, York University, 4700 Keele Street, HNES Building, 4th Floor, Toronto, ON, M3J 1P3, Canada.
BMC Med Inform Decis Mak. 2012 Dec 19;12:149. doi: 10.1186/1472-6947-12-149.
Emerging eHealth tools could facilitate the delivery of comprehensive care in time-constrained clinical settings. One such tool is interactive computer-assisted health-risk assessments (HRA), which may improve provider-patient communication at the point of care, particularly for psychosocial health concerns, which remain under-detected in clinical encounters. The research team explored the perspectives of healthcare providers representing a variety of disciplines (physicians, nurses, social workers, allied staff) regarding the factors required for implementation of an interactive HRA on psychosocial health.
The research team employed a semi-qualitative participatory method known as Concept Mapping, which involved three distinct phases. First, in face-to-face and online brainstorming sessions, participants responded to an open-ended central question: "What factors should be in place within your clinical setting to support an effective computer-assisted screening tool for psychosocial risks?" The brainstormed items were consolidated by the research team. Then, in face-to-face and online sorting sessions, participants grouped the items thematically as 'it made sense to them'. Participants also rated each item on a 5-point scale for its 'importance' and 'action feasibility' over the ensuing six month period. The sorted and rated data was analyzed using multidimensional scaling and hierarchical cluster analyses which produced visual maps. In the third and final phase, the face-to-face Interpretation sessions, the concept maps were discussed and illuminated by participants collectively.
Overall, 54 providers participated (emergency care 48%; primary care 52%). Participants brainstormed 196 items thought to be necessary for the implementation of an interactive HRA emphasizing psychosocial health. These were consolidated by the research team into 85 items. After sorting and rating, cluster analysis revealed a concept map with a seven-cluster solution: 1) the HRA's equitable availability; 2) the HRA's ease of use and appropriateness; 3) the content of the HRA survey; 4) patient confidentiality and choice; 5) patient comfort through humanistic touch; 6) professional development, care and workload; and 7) clinical management protocol. Drawing insight from the theoretical lens of Sociotechnical theory, the seven clusters of factors required for HRA implementation could be read as belonging to three overarching aspects : Technical (cluster 1, 2 and 3), Social-Patient (cluster 4 and 5), and Social-Provider (cluster 6 and 7). Participants rated every one of the clusters as important, with mean scores from 4.0 to 4.5. Their scores for feasibility were somewhat lower, ranging from 3.4 to. 4.3. Comparing the scores for importance and feasibility, a significant difference was found for one cluster from each region (cluster 2, 5, 6). The cluster on professional development, care and workload was perceived as especially challenging in emergency department settings, and possible reasons were discussed in the interpretation sessions.
A number of intertwined multilevel factors emerged as important for the implementation of a computer-assisted, interactive HRA with a focus on psychosocial health. Future developments in this area could benefit from systems thinking and insights from theoretical perspectives, such as sociotechnical system theory for joint optimization and responsible autonomy, with emphasis on both the technical and social aspects of HRA implementation.
新兴的电子健康工具可以在时间受限的临床环境中促进全面护理的提供。这样的工具之一是交互式计算机辅助健康风险评估(HRA),它可以改善护理人员与患者在护理点的沟通,特别是对于仍未在临床接触中发现的心理社会健康问题。研究团队探讨了代表各种学科(医生、护士、社会工作者、联合工作人员)的医疗保健提供者对在心理社会健康方面实施交互式 HRA 所需因素的看法。
研究团队采用了一种称为概念映射的半定性参与性方法,该方法涉及三个不同阶段。首先,在面对面和在线头脑风暴会议上,参与者回答了一个开放式的核心问题:“在您的临床环境中,需要哪些因素来支持用于心理社会风险的计算机辅助筛查工具?”研究团队对头脑风暴的项目进行了整合。然后,在面对面和在线分类会议上,参与者根据主题将项目分组为“对他们来说有意义”。参与者还在接下来的六个月内对每个项目的“重要性”和“行动可行性”进行了 5 分制评分。经过排序和评分后,使用多维尺度分析和层次聚类分析对分类和评分数据进行了分析,得出了可视化地图。在第三也是最后一个阶段,即面对面的解释会议上,参与者共同讨论和阐明了概念图。
共有 54 名提供者参与(急诊护理 48%;初级保健 52%)。参与者头脑风暴了 196 个被认为对实施强调心理社会健康的交互式 HRA 所需的项目。这些项目由研究团队整合为 85 个项目。经过排序和评分后,聚类分析显示出一个具有七个聚类解决方案的概念图:1)HRA 的公平可及性;2)HRA 的易用性和适当性;3)HRA 调查的内容;4)患者的保密性和选择权;5)通过人文关怀使患者感到舒适;6)专业发展、护理和工作量;以及 7)临床管理协议。从社会技术理论的理论视角汲取洞察力,实施 HRA 所需的七个因素集群可以被解读为属于三个总体方面:技术(集群 1、2 和 3)、社会-患者(集群 4 和 5)和社会-提供者(集群 6 和 7)。参与者对所有集群的重要性进行了评分,平均值在 4.0 到 4.5 之间。他们对可行性的评分略低,范围在 3.4 到 4.3 之间。比较重要性和可行性评分,在每个区域都发现了一个集群的分数存在显著差异(集群 2、5、6)。关于专业发展、护理和工作量的集群在急诊部门设置中被认为特别具有挑战性,在解释会议中讨论了可能的原因。
出现了许多相互交织的多层次因素,这些因素对于实施以心理社会健康为重点的计算机辅助交互式 HRA 非常重要。该领域的未来发展可以从系统思维和理论视角(例如社会技术系统理论)中受益,以实现联合优化和负责任的自主性,重点关注 HRA 实施的技术和社会方面。