通过使用主题建模,预测患者在基于电话的主管护理管理服务中的入学率
Annisa Marlin Masbar Rus1, Julie S Ivy1, Min Chi2
1Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, North Carolina, United States of America.
PLOS digital health
|September 18, 2025
概括
分析电话记录的预测模型表明,主动安排预约并允许患者反思时间显著增加了糖尿病视网膜病变 (DR) 护理管理计划的入学率. 解释福利和计划细节的代理人可以提高患者的参与度.
科学领域:
- 眼科医生 眼科 眼科
- 医疗保健服务研究 医疗服务研究
- 数据科学数据科学数据科学
背景情况:
- 糖尿病视网膜病变 (DR) 是一种导致视力丧失的糖尿病并发症.
- 主要护理管理 (PCM) 服务旨在减少DR患者的障碍.
- 低于最佳的入学率阻碍了DR护理管理计划的有效性.
研究的目的:
- 开发预测模型,识别与DR PCM服务患者入学相关的因素.
- 分析通话记录和元数据,以了解注册驱动器.
- 改进DR护理管理的招生策略.
主要方法:
- 功能工程调用元数据 (长度,频率,时间间隔,情绪).
- 使用结构主题建模 (STM) 提取讨论主题.
- 开发并比较了三个分类模型 (元数据,基于主题,主题+元数据) 来预测入学率.
主要成果:
- 主题+元数据模型显示出优异的性能 (AUC 0.81-0.99).
- 在解释后主动安排预约,显著增加了入学率.
- 更长的通话间隔和全面的脚本覆盖率与入学率有积极的相关性.
结论:
- 招生代理策略,包括主动安排和允许患者反思,对于计划的采用至关重要.
- 了解患者对话主题和元数据可以提高预测准确度.
- 优化呼叫策略可以改善DR患者获得关键护理协调的机会.
相关概念视频
Patient-centered Care
2.9K
Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
2.9K
Methods of Documentation VI: Case Management Model
861
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
For example, a patient with a chronic...
861
Models of Health Promotion and Illness Prevention I
2.7K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.7K
Models of Health Promotion and Illness Prevention II
2.0K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
The agent-host-environment model states that disease results...
2.0K
Classification of Illness
8.6K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.6K
Cancer Survival Analysis
650
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
650

