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严重疾病对话文档的内容分析:结构化与自由文本信息。

Content Analysis of Serious Illness Conversation Documentation: Structured vs. Free-Text Information.

机构信息

Department of Psychosocial Oncology and Palliative Care, (B.N.D, S.N.Z, J.R.L, C.L.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA.

Department of Psychosocial Oncology and Palliative Care, (B.N.D, S.N.Z, J.R.L, C.L.), Dana-Farber Cancer Institute, Boston, Massachusetts, USA; School of Medicine, (S.N.Z), University of California San Francisco, San Francisco, California, USA.

出版信息

J Pain Symptom Manage. 2024 Oct;68(4):369-381.e4. doi: 10.1016/j.jpainsymman.2024.06.025. Epub 2024 Jul 15.

DOI:10.1016/j.jpainsymman.2024.06.025
PMID:39019351
Abstract

CONTEXT

Clear, accessible, and thorough documentation of serious illness conversations helps ensure that critical information patients share with clinicians is reflected in their future care.

OBJECTIVES

We sought to characterize and compare serious illness conversations recorded in two different ways in the electronic health record to better understand patterns of serious illness conversation documentation.

METHODS

We performed content analysis of serious illness conversations documented in the electronic health record, whether documented via structured tab or free-text clinical notes, for patients (n = 150) with advanced cancer who started a treatment associated with a poor prognosis between October 2020 and June 2022. A multidisciplinary team iteratively developed a codebook to classify serious illness conversation content (e.g., goals/hopes) on a preliminary sample (n = 30), and two researchers performed mixed deductive-inductive coding on the remaining data (n = 120). We reviewed documentation from 34 patients with serious illness conversations documentation in the structured tab only, 43 with documentation in only free-text clinical notes, and 44 with documentation of both types. We then compared content between documentation types.

RESULTS

Information documented more frequently in structured tabs included fears/worries and illness understanding; clinical notes more often included treatment preferences, deliberations surrounding advance directives, function, and trade-offs. Qualitative insights highlight a range of length and detail across documentation types, and suggest notable authorship by palliative and social work clinicians.

CONCLUSION

How serious illness conversations are documented in the electronic health record may impact the content captured. Future quality improvement efforts should seek to consolidate documentation sources to improve care and information retention.

摘要

背景

清晰、易懂且全面的重病沟通记录有助于确保患者与临床医生分享的关键信息反映在他们未来的护理中。

目的

我们旨在通过比较电子病历中以两种不同方式记录的重病沟通,来更好地了解重病沟通记录的模式。

方法

我们对 2020 年 10 月至 2022 年 6 月期间因预后不良而开始治疗的晚期癌症患者(n=150)的电子病历中记录的重病沟通进行了内容分析,无论这些沟通是通过结构化标签还是自由文本临床记录记录的。一个多学科团队对初步样本(n=30)的重病沟通内容(例如目标/希望)进行了迭代开发编码手册,并由两名研究人员对其余数据(n=120)进行了混合演绎归纳编码。我们回顾了 34 名患者的记录,这些患者只有结构化标签的重病沟通记录,43 名患者只有自由文本临床记录的重病沟通记录,44 名患者有两种类型的重病沟通记录。然后,我们比较了不同记录类型之间的内容。

结果

结构化标签中记录的信息更频繁地包括恐惧/担忧和疾病理解;临床记录更经常包括治疗偏好、围绕预先指示的审议、功能和权衡取舍。定性分析提供了各种记录类型的长度和详细程度的深入了解,并表明姑息治疗和社会工作临床医生的显著作用。

结论

电子病历中重病沟通的记录方式可能会影响所记录的内容。未来的质量改进工作应寻求整合记录来源,以改善护理和信息保留。

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