提出 "深入骨髓 "的问题:整合主题分析和自然语言处理,探索脑外伤患者参与患者报告结果测量的经历。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES Frontiers in digital health Pub Date : 2024-06-25 eCollection Date: 2024-01-01 DOI:10.3389/fdgth.2024.1387139
Daniela Di Basilio, Lorraine King, Sarah Lloyd, Panayiotis Michael, Matthew Shardlow
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引用次数: 0

摘要

简介:患者报告结果测量(PROMs)是评估脑外伤(TBIs)患者健康相关生活质量和治疗效果的重要工具。了解创伤性脑损伤患者在完成 PROMs 过程中的经历对于提高 PROMs 在临床实践中的实用性和相关性至关重要:方法:对 TBI 患者进行了 16 次半结构式访谈。对访谈内容进行了逐字记录,并使用主题分析(TA)和自然语言处理(NLP)技术对访谈内容进行了分析,以确定与填写 PROMs 的经历有关的主题和情感内涵:对数据的主题分析揭示了有关创伤性脑损伤患者填写 PROM 的经历的六个关键主题。参与者对 PROMs 的理解和参与程度各不相同,认知障碍和沟通困难等因素影响了他们的体验。此外,他们还就完成 PROM 的障碍、促进完成 PROM 的因素以及改进 PROM 内容和提供方法的建议提出了有见地的建议。通过使用 NLP 技术进行情感分析,可以检索出参与者在讲述其使用 PROM 的经历时的一般情感和情绪 "基调",这些叙述主要以低正面情感内涵为特征。虽然参与者的叙述大多是中性的,但也显示出恐惧等情绪的存在,其次是愤怒。通过对创伤性脑损伤患者的经历进行语义分析和情感分析,可以获得关于他们对 PROMs 不同方面的看法和情感反应的宝贵信息:讨论:研究结果凸显了对创伤性脑损伤患者实施PROMs所涉及的复杂性,并强调有必要采用量身定制的方法来应对他们所面临的独特挑战。将基于TA的技术和NLP技术相结合,可以为了解创伤性脑损伤患者的经历提供宝贵的见解,并加强对该人群定性数据的解释。
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Asking questions that are "close to the bone": integrating thematic analysis and natural language processing to explore the experiences of people with traumatic brain injuries engaging with patient-reported outcome measures.

Introduction: Patient-reported outcomes measures (PROMs) are valuable tools for assessing health-related quality of life and treatment effectiveness in individuals with traumatic brain injuries (TBIs). Understanding the experiences of individuals with TBIs in completing PROMs is crucial for improving their utility and relevance in clinical practice.

Methods: Sixteen semi-structured interviews were conducted with a sample of individuals with TBIs. The interviews were transcribed verbatim and analysed using Thematic Analysis (TA) and Natural Language Processing (NLP) techniques to identify themes and emotional connotations related to the experiences of completing PROMs.

Results: The TA of the data revealed six key themes regarding the experiences of individuals with TBIs in completing PROMs. Participants expressed varying levels of understanding and engagement with PROMs, with factors such as cognitive impairments and communication difficulties influencing their experiences. Additionally, insightful suggestions emerged on the barriers to the completion of PROMs, the factors facilitating it, and the suggestions for improving their contents and delivery methods. The sentiment analyses performed using NLP techniques allowed for the retrieval of the general sentimental and emotional "tones" in the participants' narratives of their experiences with PROMs, which were mainly characterised by low positive sentiment connotations. Although mostly neutral, participants' narratives also revealed the presence of emotions such as fear and, to a lesser extent, anger. The combination of a semantic and sentiment analysis of the experiences of people with TBIs rendered valuable information on the views and emotional responses to different aspects of the PROMs.

Discussion: The findings highlighted the complexities involved in administering PROMs to individuals with TBIs and underscored the need for tailored approaches to accommodate their unique challenges. Integrating TA-based and NLP techniques can offer valuable insights into the experiences of individuals with TBIs and enhance the interpretation of qualitative data in this population.

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