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疾病管理分类法:美国心脏协会疾病管理分类法写作组的科学声明

A taxonomy for disease management: a scientific statement from the American Heart Association Disease Management Taxonomy Writing Group.

作者信息

Krumholz Harlan M, Currie Peter M, Riegel Barbara, Phillips Christopher O, Peterson Eric D, Smith Renee, Yancy Clyde W, Faxon David P

机构信息

Yale University, USA.

出版信息

Circulation. 2006 Sep 26;114(13):1432-45. doi: 10.1161/CIRCULATIONAHA.106.177322. Epub 2006 Sep 4.

Abstract

BACKGROUND

Disease management has shown great promise as a means of reorganizing chronic care and optimizing patient outcomes. Nevertheless, disease management programs are widely heterogeneous and lack a shared definition of disease management, which limits our ability to compare and evaluate different programs. To address this problem, the American Heart Association's Disease Management Taxonomy Writing Group developed a system of classification that can be used both to categorize and compare disease management programs and to inform efforts to identify specific factors associated with effectiveness.

METHODS

The AHA Writing Group began with a conceptual model of disease management and its components and subsequently validated this model over a wide range of disease management programs. A systematic MEDLINE search was performed on the terms heart failure, diabetes, and depression, together with disease management, case management, and care management. The search encompassed articles published in English between 1987 and 2005. We then selected studies that incorporated (1) interventions designed to improve outcomes and/or reduce medical resource utilization in patients with heart failure, diabetes, or depression and (2) clearly defined protocols with at least 2 prespecified components traditionally associated with disease management. We analyzed the study protocols and used qualitative research methods to develop a disease management taxonomy with our conceptual model as the organizing framework.

RESULTS

The final taxonomy includes the following 8 domains: (1) Patient population is characterized by risk status, demographic profile, and level of comorbidity. (2) Intervention recipient describes the primary targets of disease management intervention and includes patients and caregivers, physicians and allied healthcare providers, and healthcare delivery systems. (3) Intervention content delineates individual components, such as patient education, medication management, peer support, or some form of postacute care, that are included in disease management. (4) Delivery personnel describes the network of healthcare providers involved in the delivery of disease management interventions, including nurses, case managers, physicians, pharmacists, case workers, dietitians, physical therapists, psychologists, and information systems specialists. (5) Method of communication identifies a broad range of disease management delivery systems that may include in-person visitation, audiovisual information packets, and some form of electronic or telecommunication technology. (6) Intensity and complexity distinguish between the frequency and duration of exposure, as well as the mix of program components, with respect to the target for disease management. (7) Environment defines the context in which disease management interventions are typically delivered and includes inpatient or hospital-affiliated outpatient programs, community or home-based programs, or some combination of these factors. (8) Clinical outcomes include traditional, frequently assessed primary and secondary outcomes, as well as patient-centered measures, such as adherence to medication, self-management, and caregiver burden.

CONCLUSIONS

This statement presents a taxonomy for disease management that describes critical program attributes and allows for comparisons across interventions. Routine application of the taxonomy may facilitate better comparisons of structure, process, and outcome measures across a range of disease management programs and should promote uniformity in the design and conduct of studies that seek to validate disease management strategies.

摘要

背景

疾病管理作为一种重组慢性病护理并优化患者治疗效果的手段,已展现出巨大潜力。然而,疾病管理项目广泛存在异质性,且缺乏疾病管理的共享定义,这限制了我们比较和评估不同项目的能力。为解决这一问题,美国心脏协会疾病管理分类法编写组开发了一种分类系统,该系统可用于对疾病管理项目进行分类和比较,并为识别与有效性相关的特定因素的工作提供信息。

方法

美国心脏协会编写组从疾病管理及其组成部分的概念模型入手,随后在广泛的疾病管理项目中对该模型进行了验证。利用“心力衰竭”“糖尿病”“抑郁症”以及“疾病管理”“病例管理”和“护理管理”等术语在MEDLINE数据库中进行了系统检索。检索范围涵盖1987年至2005年期间以英文发表的文章。然后,我们选择了纳入以下内容的研究:(1)旨在改善心力衰竭、糖尿病或抑郁症患者的治疗效果和/或减少医疗资源利用的干预措施;(2)具有至少2个传统上与疾病管理相关的预先指定组成部分的明确界定的方案。我们分析了研究方案,并使用定性研究方法,以我们的概念模型作为组织框架来制定疾病管理分类法。

结果

最终的分类法包括以下8个领域:(1)患者群体以风险状态、人口统计学特征和合并症水平为特征。(2)干预接受者描述疾病管理干预的主要目标,包括患者和护理人员、医生和联合医疗保健提供者以及医疗保健提供系统。(3)干预内容描述了疾病管理中包含的各个组成部分,如患者教育、药物管理、同伴支持或某种形式的急性后期护理。(4)提供人员描述参与疾病管理干预实施的医疗保健提供者网络,包括护士、病例管理人员、医生、药剂师、个案工作者、营养师、物理治疗师、心理学家和信息系统专家。(5)沟通方式确定了广泛的疾病管理提供系统,可能包括面对面探访、视听信息包以及某种形式的电子或电信技术。(6)强度和复杂性区分了针对疾病管理目标的接触频率和持续时间以及项目组成部分的组合。(7)环境定义了疾病管理干预通常实施的背景,包括住院或医院附属门诊项目、社区或家庭项目,或这些因素的某种组合。(8)临床结果包括传统的、经常评估的主要和次要结果,以及以患者为中心的指标,如药物依从性、自我管理和护理人员负担。

结论

本声明提出了一种疾病管理分类法,该分类法描述了关键的项目属性,并允许对不同干预措施进行比较。该分类法的常规应用可能有助于更好地比较一系列疾病管理项目的结构、过程和结果指标,并应促进旨在验证疾病管理策略的研究在设计和实施上的一致性。

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