Barriers, facilitators, and recommendations to increase the use of a clinical decision support tool for managing chronic pain in primary care

IF 3.7 2区 医学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Medical Informatics Pub Date : 2024-10-10 DOI:10.1016/j.ijmedinf.2024.105649
Pablo Cuadros , Emma McCord , Cara McDonnell , Nate C. Apathy , Lindsey Sanner , Meredith C.B. Adams , Burke W. Mamlin , Joshua R. Vest , Robert W. Hurley , Christopher A. Harle , Olena Mazurenko
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Abstract

Background and Objective

Primary care providers (PCPs) use poorly organized patient information in electronic health records (EHR) within a limited time when treating patients with chronic pain. Clinical decision support (CDS) tools assist PCPs by synthesizing patient information and prompting guideline-concordant treatment decisions. A CDS tool- Chronic Pain OneSheet was developed through a user-centered design process to support PCP’s decision-making for patients with chronic noncancer pain. OneSheet aggregates relevant patient information in one place in the EHR. OneSheet also guides PCPs in completing guideline-recommended opioid risk management tasks, tracking patient treatments, and documenting pain-related symptoms. Our objective was to identify barriers, facilitators, and recommendations to increase OneSheet use for chronic noncancer pain management in primary care.

Methods

We conducted 19 qualitative interviews with PCPs from two academic health systems who had access to OneSheet in their EHR. Interview transcripts were coded to identify common themes using a modified thematic approach.

Results

PCPs identified several barriers to using OneSheet, including limited time to address patient needs associated with multiple chronic conditions, resistance to changing established workflows, and complex OneSheet display. PCPs reported several facilitators to using OneSheet, such as OneSheet’s ability to serve as a hub for chronic pain data, easy access to features that facilitate completing mandatory tasks and improved planning for certain patient visits. PCPs recommended prioritizing access to commonly used features, adding display customization capabilities, and expanding access to patients and other team members to increase OneSheet use.

Conclusion

Our findings highlight the importance of acknowledging the PCP workflow and task load when designing CDS tools. Future CDS tools should balance the extent of information provided with assisting PCPs to fulfill mandatory tasks. Expanding CDS tools to multiple care team members and patients can also lead to higher use by facilitating data entry, leading to more streamlined care delivery.
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在初级保健中增加使用管理慢性疼痛的临床决策支持工具的障碍、促进因素和建议。
背景和目的:初级保健提供者(PCP)在治疗慢性疼痛患者时,会在有限的时间内使用电子健康记录(EHR)中组织不良的患者信息。临床决策支持(CDS)工具通过综合患者信息和提示与指南一致的治疗决策来帮助初级保健提供者。我们通过以用户为中心的设计流程开发了一种 CDS 工具--"慢性疼痛 OneSheet",以支持初级保健医生为慢性非癌症疼痛患者做出决策。OneSheet 将患者的相关信息汇总到电子病历的一个地方。OneSheet 还可指导初级保健医生完成指南推荐的阿片类药物风险管理任务、跟踪患者治疗情况并记录疼痛相关症状。我们的目标是找出在初级保健中增加 OneSheet 用于慢性非癌症疼痛管理的障碍、促进因素和建议:我们对来自两个学术医疗系统的初级保健医生进行了 19 次定性访谈,这些初级保健医生在他们的电子病历中使用了 OneSheet。我们对访谈记录进行了编码,以使用修改后的主题方法确定共同主题:结果:初级保健医生指出了使用 OneSheet 的几个障碍,包括解决与多种慢性疾病相关的患者需求的时间有限、改变既定工作流程的阻力以及复杂的 OneSheet 显示。初级保健医生报告了使用 OneSheet 的几个促进因素,例如 OneSheet 能够作为慢性疼痛数据的中心,易于访问的功能可帮助完成强制性任务并改善某些患者就诊计划。初级保健医生建议优先使用常用功能,增加显示自定义功能,并扩大患者和其他团队成员的使用范围,以提高 OneSheet 的使用率:我们的研究结果强调了在设计 CDS 工具时承认初级保健医生工作流程和任务负荷的重要性。未来的 CDS 工具应在提供信息的范围与协助初级保健医生完成强制性任务之间取得平衡。将 CDS 工具扩展到多个护理团队成员和患者也能通过简化数据录入提高使用率,从而使护理服务更加合理化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Medical Informatics
International Journal of Medical Informatics 医学-计算机:信息系统
CiteScore
8.90
自引率
4.10%
发文量
217
审稿时长
42 days
期刊介绍: International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings. The scope of journal covers: Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.; Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc. Educational computer based programs pertaining to medical informatics or medicine in general; Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.
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