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患有多种长期疾病的人群:应对个性化决策的挑战

People Living with Multiple Long-Term Conditions: Meeting the Challenges of Personalized Decision Making.

作者信息

Rajput Vije Kumar, Dowie Jack, Kaltoft Mette Kjer

机构信息

Stonydelph Health Centre, Tamworth, UK.

London School of Hygiene and Tropical Medicine.

出版信息

Stud Health Technol Inform. 2020 Sep 4;273:258-261. doi: 10.3233/SHTI200652.

Abstract

As with any diagnosis, the underlying purpose of a 'multimorbidity' one is to identify and establish the impact of a person's health conditions on their lives and to facilitate personalized decisions regarding proposed interventions. Clinicians routinely make decisions about the use of interventions for people with multiple long-term conditions. This is challenging because evidence to support this process currently relies on guidance on single health conditions for people without multimorbidity, typically taking fewer medications. Establishing the person's preferences over relevant criteria is central to a person-centered decision-making process, and it is particularly challenging, given the complexities of the person's multiple conditions. The final challenge is in combining the clinician's best estimates of the benefits and harms of possible interventions with the person's preferences. A review of these challenges, drawing on the NICE guidelines, leads to a proposal for using a Multi-Criteria Decision Analysis-based support tool for personalized shared decision making for multiple long-term conditions.

摘要

与任何诊断一样,“多重疾病”诊断的根本目的是识别并确定一个人的健康状况对其生活的影响,并促进有关拟采取干预措施的个性化决策。临床医生经常会为患有多种长期疾病的患者做出关于干预措施使用的决策。这具有挑战性,因为目前支持这一过程的证据依赖于针对无多重疾病、通常服用较少药物的人群的单一健康状况指南。在以患者为中心的决策过程中,确定患者在相关标准上的偏好至关重要,而且鉴于患者多种病情的复杂性,这尤其具有挑战性。最后的挑战在于将临床医生对可能干预措施的益处和危害的最佳估计与患者的偏好相结合。借鉴英国国家卫生与临床优化研究所(NICE)的指南对这些挑战进行审视后,提出了一项建议,即使用基于多标准决策分析的支持工具,用于针对多种长期疾病的个性化共同决策。

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