Department of Family, Community, and Health Systems Science (F.C.D.S, U.A.S., G.M.K.), College of Nursing, University of Florida, Gainesville, Florida, USA.
Department of Family, Community, and Health Systems Science (F.C.D.S, U.A.S., G.M.K.), College of Nursing, University of Florida, Gainesville, Florida, USA.
J Pain Symptom Manage. 2023 Aug;66(2):e205-e218. doi: 10.1016/j.jpainsymman.2023.03.006. Epub 2023 Mar 17.
With the expansion of palliative care services in clinical settings, clinical decision support systems (CDSSs) have become increasingly crucial for assisting bedside nurses and other clinicians in improving the quality of care to patients with life-limiting health conditions.
To characterize palliative care CDSSs and explore end-users' actions taken, adherence recommendations, and clinical decision time.
The CINAHL, Embase, and PubMed databases were searched from inception to September 2022. The review was developed following the preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews guidelines. Qualified studies were described in tables and assessed the level of evidence.
A total of 284 abstracts were screened, and 12 studies comprised the final sample. The CDSSs selected focused on identifying patients who could benefit from palliative care based on their health status, making referrals to palliative care services, and managing medications and symptom control. Despite the variability of palliative CDSSs, all studies reported that CDSSs assisted clinicians in becoming more informed about palliative care options leading to better decisions and improved patient outcomes. Seven studies explored the impact of CDSSs on end-user adherence. Three studies revealed high adherence to recommendations while four had low adherence. Lack of feature customization and trust in guideline-based in the initial stages of feasibility and usability testing were evident, limiting the usefulness for nurses and other clinicians.
This study demonstrated that implementing palliative care CDSSs can assist nurses and other clinicians in improving the quality of care for palliative patients. The studies' different methodological approaches and variations in palliative CDSSs made it challenging to compare and validate the applicability under which CDSSs are effective. Further research utilizing rigorous methods to evaluate the impact of clinical decision support features and guideline-based actions on clinicians' adherence and efficiency is recommended.
随着姑息治疗服务在临床环境中的扩展,临床决策支持系统(CDSS)对于帮助床边护士和其他临床医生提高对生命有限健康状况患者的护理质量变得越来越重要。
描述姑息治疗 CDSS 并探讨最终用户采取的行动、遵循建议和临床决策时间。
从成立到 2022 年 9 月,检索了 CINAHL、Embase 和 PubMed 数据库。该综述按照系统评价和荟萃分析扩展的首选报告项目进行,并针对范围综述指南进行了开发。合格的研究以表格形式描述,并评估了证据水平。
共筛选了 284 篇摘要,最终有 12 项研究纳入了最终样本。所选的 CDSS 侧重于根据患者的健康状况确定哪些患者可能受益于姑息治疗,向姑息治疗服务转介以及管理药物和症状控制。尽管姑息治疗 CDSS 存在差异,但所有研究都报告说,CDSS 帮助临床医生更了解姑息治疗选择,从而做出更好的决策并改善患者结局。有 7 项研究探讨了 CDSS 对最终用户依从性的影响。有 3 项研究显示对建议的高依从性,而有 4 项研究显示低依从性。在可行性和可用性测试的初始阶段缺乏功能定制和对基于指南的信任,限制了护士和其他临床医生的实用性。
本研究表明,实施姑息治疗 CDSS 可以帮助护士和其他临床医生提高姑息患者的护理质量。由于研究采用了不同的方法学方法,姑息治疗 CDSS 也存在差异,因此难以比较和验证 CDSS 有效的适用范围。建议进一步研究利用严格的方法来评估临床决策支持功能和基于指南的行动对临床医生依从性和效率的影响。